Effect of Health Transformation Plan on the Public Hospitals Performance Indicators; a case study in Iran

Effect of Health Transformation Plan on the Public Hospitals Performance Indicators; a case study in Iran | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Effect of Health Transformation Plan on the Public Hospitals Performance Indicators; a case study in Iran Mohammad Ranjbar, Hassan Jafari, Mohammad Baziyar, Mohsen Pakdaman, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-38410/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Introduction : Health systems need constant changes and reforms in their structure in order to adapt to changing conditions and meet the needs of society. One of the fundamental changes in the health system of Iran is the health transformation plan (HTP), the effects of which must be examined from different aspects. Therefore, the purpose of this study is to investigate the effect of HTP on the performance indicators of public hospitals in the context of Yazd. Methods : The present cross-sectional study was carried out in all public hospitals in Yazd. Six performance indicators were examined on a monthly basis and in two time periods of 12 months before and after the implementation of HTP. Data were analyzed using SPSS software program version 22, the paired T-test and the Interrupted Time Series model. Findings : The implementation of the health transformation plan did not have a significant effect on the bed rotation distance, average length of stay and the ratio of surgical operations to bed indicators (p> 0.05). However, it had a statistically significant effect on the level and trend of mortality and hospitalization rates (p <0.05). Moreover, the implementation of HTP had a significant effect on the level of the bed occupancy indicator (P 0.05). Conclusion : Based on the research findings, all the selected indicators changed to some extent after the implementation of HTP, which in a way showed the effect of this plan on the performance of hospitals. Therefore, the continuation of such a plan, provided that sustainable financial resources are planned and human and physical resources are organized properly, can be an important step towards achieving universal health coverage and increasing justice in access to services. Health Policy Health Economics & Outcomes Research Health Transformation Plan Performance Indicators Public Hospitals Interrupted Time Series Model Figures Figure 1 Introduction Today, various countries around the world are constantly searching for innovations and reforms in health systems aimed at strengthening public access, quality, equality and equity in health ( 1 , 2 ). In several countries that have committed to public health care reform, research on health systems has played an important role in guiding reform and monitoring progress. Over the past decades, many countries have introduced reforms aimed at improving access to medical services and increasing financial support against catastrophic health care expenditures ( 4 ). For example, in 2003, major reforms were implemented in the health system in Turkey, aiming to expand primary health care through changes in organizations and health financing and providing services to achieve universal health coverage ( 5 ). In 2009, China officially launched a new health care reform. One of the main goals of this reform was to reduce the financial burden of health care expenditures on households ( 6 ). In Massachusetts, USA, reforms have been designed to achieve universal health coverage to strengthen access to services and reduce racial and ethnic inequalities in access ( 7 ). Under the 2012 Act, the UK has made structural reforms as the responsibility of the Ministry of Health and health care providers to address the need to reduce health inequalities in the health care system ( 1 ). Various African countries, such as Ethiopia, Kenya, Uganda, Tanzania, South Africa, and Lesotho, are also working to improve their health care services ( 8 ). With the aim of increasing the quality and efficiency of health services and achieving better health outcomes with a sustainable financial method, Romania has also made reforms in its health system ( 1 ). In Iran, as in other countries, despite considerable progresses in health system and health indicators, there are still major concerns regarding reaching equity in health and access to health care services among managers and policymakers ( 9 , 10 ). Therefore, in line with the changes implemented in other countries, the Ministry of Health and Medical Education of Iran, in order to achieve the vision of 2025, has designed a comprehensive transformation plan in the health system, which has been implemented since May 5, 2014 and is now ongoing ( 9 , 11 , 12 , 13 , 14 ). The transformation plan of Iran's health system began with three approaches (financial protection for the patients, improving equity in access to health services and improving the quality of services) consisting of seven programs, which can be considered the beginning of a positive and efficient change in the health system of Iran (17 − 15). Another important goal of this plan is to reduce the out of pocket health expenditures ( 18 ), which according to official statistics, the cost of out-of-pocket payments in Iran has been declining since the beginning of the health system transformation plan, from 58% in 2011 to 49% in 2013, 40% in 2014 and finally 32.46% in 2017 ( 19 – 23 ). As such, the purpose of the HTP is to improve people's health, reduce out-of-pocket payments and develop health indicators (26 − 24). Various methods can be used to assess the success of the health sector in achieving these goals. One of these methods is to study the performance indicators of hospitals ( 10 , 27 , 28 ). In fact, performance indicators are measures for evaluating performance that help the organization to assess and determine progress in achieving goals ( 28 ). On the other hand, the information obtained from the performance indicators shows the quality of the health services and, as a guide, determines the future activities which should be followed by the hospitals. The most important functional indicators of hospitals are the bed occupancy percentage indicator, the bed rotation rate, the average length of stay, the ratio of surgeries to the bed, the mortality rate and the rate of hospitalization per bed ( 10 , 29 ). The bed occupancy coefficient refers to the occupant beds that are calculated as the ratio of the occupied day bed to the active day bed over a given period of time. Bed rotation distance is the number of times that patients use a hospital bed over a period of time. The average length of stay of a patient is the sum of the total number of beds occupied at a given time in the same number of discharged and dead patients in the same period ( 30 ). The ratio of surgeries to the bed refers to the ratio of surgeries performed in a period to the day operation bed of the same period ( 31 ). The mortality rate is the number of deaths in inpatient wards after 24 hours per 1,000 discharged patients. The number of patients hospitalized is the number of patients admitted per thousand population of the region in hospitals ( 32 ). Numerous studies around the world have examined the effect of reforms on the functional indicators of the health system, including the studies carried out by Shen et al., in China ( 33 ), Yasar in Turkey ( 34 ) and Sommers in Massachusetts, USA ( 35 ). In addition, Dadgar, Rezaei, Mousavi Rigi, Zarei, Ghazizadeh, Yusefi, Hashemian and Kasiri, et al., separately examined the effect of health transformation plan on performance indicators in different hospitals in Iran and concluded that the implementation of health system transformation plan has led to significant improvements in the performance indicators of hospitals, so that after the implementation of the plan, the indicators have been in a better position than before ( 36 , 25 , 28 , 10 , 29 , 37 , 38 , 39 ). Although several studies have been conducted in different parts of Iran regarding the impact of the implementation of the health system transformation plan on the performance indicators of hospitals, so far no studies have been done in this regard in Yazd hospitals, which are known as referral hospitals for southern and southeastern regions of Iran. It should be highlighted that many people from the southern and southeastern provinces of Iran come to these hospitals for their health needs, so considering the importance of this issue in future planning and policy of the health system, this study aims to investigate the effect of the health system transformation plan on the trend of changing the performance indicators of the public hospitals in Yazd. Methods The present study is a cross-sectional research using the interrupted time series method to investigate the impact of the implementation of the Iranian health transformation plan (HTP) on the trend of changes in the performance indicators of public hospitals in Yazd in 2019. The research population includes all public hospitals in Yazd, as HTP was implemented in the public health sector. Performance indicators included bed rotation distance, bed occupancy rate, average length of stay of the patient, mortality rate, patient hospitalization rate and the ratio of surgeries performed to the bed, and the data related to these indicators were collected in the form of Excel sheets and on a monthly basis in the two periods of 12 months before and 12 months after the implementation of HTP from medical statistics and nursing units of each hospital and also the deputy of treatment of the Yazd University of Medical Sciences. Data regarding the above indicators were collected and interred into the SPSS software version 22, Using the paired t-test, the average of each indicator for the year before and after the plan was compared with each other. Then, using the interrupted time series analysis method, the data in the two periods before and after HTP were considered as an interrupted time series and the effects of the transformation plan on both the level of indicators and the trend of changes of the indicators after the plan were examined. In the interrupted time series model, two variables show the effect of a policy or intervention; the first one is level which determines the immediate effect of the intervention and the second is the trend variable that indicates the long-term effect of the intervention. The passage of time in the present study refers to the months that have passed since the implementation of the HTP, in which we considered 12 months after the transformation plan in addition to 12 months before the plan (although May is not included in the analysis). Using this method, we can find out what changes (immediate and short-term changes) the level of indicators has experienced at the beginning of the project, i.e. in the 13th month and also how the trend of each indicator has changed over the time (month by month). To estimate the ITS model, according to the use of time series data, first to prevent the false regression estimation of static data, the data of the indicators were examined using the root test of the Dickey-Fuller unit. Accordingly, the null hypothesis stating that there is a single root for all indicators is rejected. (P < 0.05) and the time series is static for all indicators. Then, for each of the indicators, the following regression pattern is estimated: Y = β + βT + βX + βXT + ε where Y represents the value of each indicator per month. T, X, XT and ε indicate time, interference, the interaction of time and interference and part of the error, respectively. Since the month of the intervention (i.e. health transformation plan), X1, which is an imaginary variable, takes the value of 1 and before that the value of zero. β0, β1, β2, and β3 indicate a constant value, time trend without considering intervention, immediate effects of the intervention on the level of selected indicators and continuous effect of the intervention on the trend of indicators, respectively. This research was approved by the ethics committee in the research of Shahid Sadoughi University of Medical Sciences in Yazd based on the approval of IR.SSU.SPH.REC.1397.136 on 2/2/2019. Results The findings of the study are presented in the form of three tables and one figure. Table 1 Hospitals surveyed by hospital type, number of beds and total number of hospitalized individuals Variable Hospital Number of fixed beds Number of active beds Total number of hospitalized individuals 12 months before the implementation of the plan 12 months after the implementation of the plan 12 months before the implementation of the plan 12 months after the implementation of the plan 12 months before the implementation of the plan 12 months after the implementation of the plan Shahid Sadoughi 582 582 387 428 30705 34540 Rahnamoun 200 200 152 152 6857 11277 Afshar 220 220 155 144 10572 14952 Total 1002 1002 694 724 48134 60769 Table 1 show that the total number of active beds as well as the total number of hospitalized individuals to the studied hospitals has increased after the implementation of the health transformation plan. Table 2 Average and standard deviation of performance indicators before and after the implementation of the health transformation plan Indicator title Average Standard Deviation 12 months before the implementation of the plan 12 months after the implementation of the plan 12 months before the implementation of the plan 12 months after the implementation of the plan Bed occupancy coefficient 71.89 79.86 7.513 6.833 Bed rotation distance 1.556 0.856 0.6385 0.4246 Average patient stay 3.889 3.433 0.3823 0.4014 Mortality rate 25.19 24.22 13.223 15.355 Patient's hospitalization rate 1420.44 1688.03 837.429 886.678 The ratio of surgical operations to bed 3.1111 5.2514 1.02086 2.37526 Table 2 shows that the average of performance indicators in the period of 12 months after the implementation of the health transformation plan has changed compared to the same period before the implementation of the plan, so that the average number of "bed occupancy coefficient", "patient's hospitalization rate" and "the ratio of surgical operations to bed" has increased and " bed rotation distance", " average patient stay" and " mortality rate" has decreased after the implementation of the transformation plan. Table 3 Evaluation results of ITS model for the effect of health transformation plan on the performance indicators of public hospitals in Yazd Indicator title Variable Coefficient p-value Bed occupancy coefficient Level change due to intervention (β2) Procedure change due to intervention (β3) 4.447 − 0.006 0.000 0.932 Bed rotation distance Level change due to intervention (β2) Procedure change due to intervention (β3) -0.291 -0.007 0.880 0.918 Average patient stay Level change due to intervention (β2) Procedure change due to intervention (β3) 0.287 -0.058 0.769 0.397 Mortality rate Level change due to intervention (β2) Procedure change due to intervention (β3) -4.828 0.258 0.000 0.000 Patient's hospitalization rate Level change due to intervention (β2) Procedure change due to intervention (β3) -136.5 31.41 0.000 0.000 The ratio of surgical operations to bed Level change due to intervention (β2) Procedure change due to intervention (β3) 1.517 0.063 0.359 0.120 Table 3 shows the results of the interrupted time series analysis for the performance indicators of the studied hospitals. According to Table 3 , the coefficient of the level indicates the immediate effect of the health transformation plan on each indicator, and the coefficient of the trend indicates the continuous effect of the HTP on the trend of each of the indicators. The trend of changes in the performance indicators of the public hospitals in Yazd, 12 months before and 12 months after the HTP, is shown in Fig. 1. According to the results of interrupted time series analysis, the implementation of the HTP did not have a significant effect on the level and trend of bed rotation distance, average patient stay and the ratio of surgeries performed to bed (p > 0.05). The implementation of the health transformation plan has had a statistically significant impact on the level and trend of mortality and patient admission rates (p < 0.05). Moreover, the implementation of the health transformation plan has had a significant effect on the level of the bed occupancy indicator (P 0.05). In other words, after the implementation of the health transformation plan, the level of bed occupancy and the average stay of the patient indicators immediately increased, but the trend of these two indicators has decreased, so that the health transformation plan has instantly increased the bed occupancy and the average stay of the patient rates, but over time, the transformation plan has reduced the trend of these two indicators. Beyond, after the implementation of the plan, the level of mortality and hospitalization indicators immediately decreased, but the trend of these two indicators has increased. Similarly, the health transformation plan does not have a significant effect on the bed rotation distance and the ratio of surgeries to bed indicators. Discussion According to the research findings, after the implementation of the health transformation plan, the patient hospitalization rate has significantly increased. In his study, Ghazizadeh confirmed the positive nature of the transformation plan and the increase in the number of hospitalized patients in hospitals based in East Azerbaijan ( 29 ). The reason for this increase can be attributed to the goals of the transformation plan, such as reducing patient payments and financially protecting patients with expensive and hard-to-cure diseases ( 36 ). According to the Ministry of Health and Medical Education, due to the implementation of the transformation plan, patients coinsurance has decreased from 37–4.5% on average, which in turn increases people's access to health services, especially for the poor; this has resulted in an increase in hospital admissions ( 29 ). Shen et al., examined the effects of the health transformation plan on the performance of hospitals in China from 2001 to 2005 and concluded that the new health reform policy had positive effects on reducing patients' economic burden ( 33 ). The present study was consistent with the study of Faridfar, Zarei, Ghazizadeh and Shen et al. ( 9 , 10 , 29 , 33 ). In this study, the bed rotation distance after the implementation of the transformation plan has been increasing. In his study, Faridfar concluded that the implementation of the health transformation plan had a growing positive impact on hospital productivity and the use of beds ( 9 ). The reason for this situation can be attributed to the increase in the turnover of hospitals with the implementation of the health transformation plan ( 40 ). Additionally, according to Hashemian's study, the average of this indicator in university centers of Isfahan province has increased from 70.2 times in 2012 to 71.2 in 2013, 73.9 in 2014 and 76.4 times in 2015 ( 38 ). The present study was consistent with the studies of Yusefzadeh, Faridfar, Rezaei, Kasiri, Hashemian and Mousavi Rigi ( 41 , 9 , 25 , 39 , 38 , 28 ). With the implementation of the health transformation plan, the bed occupancy indicator has increased, but over time, the trend or slope of this indicator has decreased. In his study, Rezaei confirmed the positive implementation of the transformation plan and the increase of this indicator in Hamedan hospitals ( 25 ). Yasar also showed in his study that the implementation of the transformation plan in the Turkish health system has filled hospital beds and, as a result, increased the bed occupancy rate ( 34 ). The reasons for this increase can be rooted in the goals of the transformation plan, such as reducing patient payments, retaining physicians in disadvantaged areas, the presence of specialist physicians in hospitals affiliated with the Ministry of Health and Medical Education, improving the quality of hospital services, improving hospital hoteling services, and financial protection of patients with expensive and so-called hard-to-cure diseases ( 42 ). In addition, according to Yusefi's study, the average of this indicator in public hospitals based in Shiraz has increased by 8% and has improved from 72.7 to 80.55 ( 37 ). The present study was consistent with the studies of Rezaei, Yasar, Yusefzadeh, Dadgar, Zarei, Anderson and Yusefi ( 25 , 34 , 41 , 36 , 10 , 43 , 37 ). In this study, the ratio of surgeries performed to bed has increased significantly after the implementation of the transformation plan. This increase indicates that the treatment of patients who needed surgery was performed in a timely manner by specialist physicians present at the hospital. Moreover, increasing the quality of hospital visit and hoteling services after the implementation of the transformation plan can justify this increase ( 25 ). In a study that examined the program of the transformation plan in Turkey, the effect of the plan on increasing the number of surgeries was significant ( 44 ). Additionally, according to Yusefi's study, the average of emergency surgeries in public hospitals in Shiraz has reached from 189.18 to 208.43 and the average of elective surgeries increased from 517.95 to 637.71 ( 37 ). The present study was consistent with the study of Sahin, Yusefi, Dadgar, Zarei, and Faridfar ( 44 , 37 , 38 , 10 , 9 ). The present study showed that with the implementation of the health transformation plan, the average stay of the patient has increased, which, of course, has not been statistically significant. This finding is inconsistent with the results of Rezaei's study carried out in Hamadan hospitals ( 25 ). Numerous studies in Isfahan hospitals have shown that this plan has increased the length of stay of patients and led to problems such as lack of beds and ultimately the inefficient use of beds by patients ( 39 ). One of the reasons for the increase in the length of stay in Lorestan hospitals is the increase in the number of expensive surgeries, which require longer care in the hospital and therefore increase the length of the patient's stay ( 36 ). Moreover, according to Hashemian's study, the average patient stay for all hospitals studied between 2012 and 2015 was 2.8, 3, 2.8 and 2.9, respectively ( 38 ). The present study was consistent with the studies conducted by Kasiri, Dadgar, Ghazizadeh, and Yusefi ( 39 , 36 , 29 , 37 ). In the present study, the mortality rate has significantly decreased after the implementation of the health transformation plan. In his study, Sadeghifar showed that the mortality rate indicator for target hospitals was favorable ( 45 ). Sommers found that health care reform in Massachusetts was associated with a significant reduction in mortality in all cases and mortality due to acceptable causes in health care ( 35 ). In contrastive and comparative studies, the mortality rate is a good indicator of the quality of care. Of course, it should be noted that factors such as time, place and person are also involved in the mortality process and one cannot judge solely on the basis of the number obtained ( 45 ). The present study was consistent with the study of Sadeghifar and Sommers ( 45 , 35 ). Conclusion Based on the research findings, it was revealed that the performance indicators of the studied hospitals have improved after the implementation of the health transformation plan. Given that the bed occupancy rate and bed rotation distance increased further after the implementation of the transformation plan, it can be assumed that this increase was related to patients who needed treatment but due to high out-of-pocket payments before the implementation of the transformation plan, they discontinued treatment or did not have access to specialist physicians and so pursued their treatment after the implementation of the transformation plan, the reduction of the amount of coinsurance, as well as greater access to specialists (36). Continuation of such plans, provided that sustainable financial resources are planned and adequate human and physical resources are available, will be an important step towards the realization of universal health and justice coverage (29). In addition, it should be noted that the present study only examines the indicators mentioned in the text, and judging the final effects of the health transformation plan is subject to more extensive research and the use of more indicators (36). Finally, it is suggested that health officials should support HTP and all its phases, both financially and politically. Continuous monitoring of the plan and redesign to cover weaknesses and continuous analysis of the achievements can also ensure the continuity of the plan. In the case of those performance indicators that may not have the desired trend, continuous and purposeful monitoring can be done in order to identify weaknesses and use corrections, if necessary. It is important to note that the key to the success of a health transformation plan is the integration of the health system, joint ventures, targeted planning, the adoption of correct and enforceable policies, and the strengthening of hospital infrastructure. Limitation of the study Although this study attempted to consider the effect of distorting variables in the analysis model, there may be other factors simultaneously with the implementation of the health system transformation plan that have affected the trend of hospital indicators and these effects have not been observed in this research. Declarations Acknowledgements This paper has been extracted from a MSc research thesis of Shahid Sadoughi University of medical sciences. Authors appreciate the people who contributed in this study. Author's contributions MR, HJ, MB, MP and VP designed the research; MR and VP conducted it; VP and MB extracted the data; MP and MB analyzed data: MR, HJ, MB, MP and VP prepared the manuscript.. All authors read and approved the final manuscript. Funding We are grateful to Shahid Sadoughi University of Medical Sciences that supported the study. 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The Second International Conference on Management Challenges and Solutions 2014. Amiresmaili M, Mosleh A, Isfahani P, Emami M. The Effective Factors in Improving Hospital Performance Indicators from the Viewpoint of Zabol Hospital, Iran, Managers. Journal of Health Development. 2012;1(1):56–66. Yusefzadeh H, Salem Safi P, Nabilou B. Health System Reform Plan and Performance of Hospitals: An Iranian Case Study. Mater Sociomed. 2017;29(3):201–6. Heydarian N, Vahdat S. The Impact of Healthcare Reform Plan to Pay Out of Pocket Patients in Public Hospitals of Isfahan. Journal of Medical Council Iran. 2015;33(3):187–94. Anderson T, Catchlove B. Health and Hospital Reform in Australia: A Local Health District's Perspective. World Hospitals Health Services. 2012;48(3):21–4. Sahin I, Ozcan YA, Ozgen H. Assessment of Hospital Efficiency under Health Transformation Program in Turkey. CEJOR. 2011;19(1):19–37. Sadeghifar J, Ashraf Rezaei N, Hamoozadeh P, Taghavi Shahri M, Shams L. The Relationship between Performance Indicators and the Degree of Evaluation of Hospitals Covered by Urmia University of Medical Sciences. Journal of Urmia School of Nursing Midwifery. 2011;9(4):270–76. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-38410","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research","associatedPublications":[],"authors":[{"id":919860,"identity":"5ce78d62-8086-43c5-be01-a459f1a006df","order_by":0,"name":"Mohammad Ranjbar","email":"","orcid":"","institution":"Shahid Sadoughi University of Medical Sciences","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Mohammad","middleName":"","lastName":"Ranjbar","suffix":""},{"id":919861,"identity":"360f80b9-d2a4-4567-9e17-d02cbfa78271","order_by":1,"name":"Hassan Jafari","email":"","orcid":"","institution":"Shahid Sadoughi University of Medical Sciences","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Hassan","middleName":"","lastName":"Jafari","suffix":""},{"id":919862,"identity":"8ef7eac7-59c7-4bc7-8ccd-f74efe8be25b","order_by":2,"name":"Mohammad Baziyar","email":"","orcid":"","institution":"Ilam University of Medical Sciences","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Mohammad","middleName":"","lastName":"Baziyar","suffix":""},{"id":919863,"identity":"c8990c5c-26ec-4bb3-90bd-66a0c20017dc","order_by":3,"name":"Mohsen Pakdaman","email":"","orcid":"","institution":"Tehran University of Medical Sciences","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Mohsen","middleName":"","lastName":"Pakdaman","suffix":""},{"id":919864,"identity":"d91f0193-fd0e-4453-99b8-1e64082f422c","order_by":4,"name":"Vahid Pirasteh","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9UlEQVRIiWNgGAWjYBACgwM8DEAkAeYwM1SASOYGYrUwA+EZEM1IWAsDD9QOZsY2EIOAFsn2swcPvN1hkc/ff/7g48J5tdH87UAtPyq24dbSk5dwcO4ZCcsZN5KZjWduO5474zBjA2PPmdu4tTTkGBzmbZMwYLjBzCbNu+1YbgNQC9CFuLXw87+BaJE/f5j9N++cY7nzCWqRgNpicCCZjZm3oSZ3AyEtbBJvDEB+MTC8kWwszXPsQO5GoJaD+PzCxp9j/OHtjjoDufMHH37mqanLnXf+8MEHPypwawEDpIg4DCYP4FePqqWOoOJRMApGwSgYeQAA4wdcqRcjJCsAAAAASUVORK5CYII=","orcid":"https://orcid.org/0000-0002-9801-4384","institution":"Shahid Sadoughi University of Medical Sciences and Health Services Yazd Research and Clinical Centre for Infertility","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Vahid","middleName":"","lastName":"Pirasteh","suffix":""}],"badges":[],"createdAt":"2020-06-29 08:26:10","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-38410/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-38410/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":1678549,"identity":"f9fbb487-d0a7-4c90-a651-1b88866e0980","added_by":"auto","created_at":"2020-07-24 19:55:30","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":1533920,"visible":true,"origin":"","legend":"The trend of changes in the performance indicators of public hospitals in Yazd during the research period","description":"","filename":"F1.png","url":"https://assets-eu.researchsquare.com/files/rs-38410/v1/F1.png"},{"id":13560557,"identity":"38ca19f6-2128-4902-ad01-5ab589cbeb69","added_by":"auto","created_at":"2021-09-17 03:05:20","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":884714,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-38410/v1/dd54a151-7099-47a2-9fb0-1ff19ad56052.pdf"}],"financialInterests":"","formattedTitle":"Effect of Health Transformation Plan on the Public Hospitals Performance Indicators; a case study in Iran","fulltext":[{"header":"Introduction","content":" \u003cp\u003eToday, various countries around the world are constantly searching for innovations and reforms in health systems aimed at strengthening public access, quality, equality and equity in health (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e). In several countries that have committed to public health care reform, research on health systems has played an important role in guiding reform and monitoring progress. Over the past decades, many countries have introduced reforms aimed at improving access to medical services and increasing financial support against catastrophic health care expenditures (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e). For example, in 2003, major reforms were implemented in the health system in Turkey, aiming to expand primary health care through changes in organizations and health financing and providing services to achieve universal health coverage (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e). In 2009, China officially launched a new health care reform. One of the main goals of this reform was to reduce the financial burden of health care expenditures on households (\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e). In Massachusetts, USA, reforms have been designed to achieve universal health coverage to strengthen access to services and reduce racial and ethnic inequalities in access (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e). Under the 2012 Act, the UK has made structural reforms as the responsibility of the Ministry of Health and health care providers to address the need to reduce health inequalities in the health care system (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e). Various African countries, such as Ethiopia, Kenya, Uganda, Tanzania, South Africa, and Lesotho, are also working to improve their health care services (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e). With the aim of increasing the quality and efficiency of health services and achieving better health outcomes with a sustainable financial method, Romania has also made reforms in its health system (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIn Iran, as in other countries, despite considerable progresses in health system and health indicators, there are still major concerns regarding reaching equity in health and access to health care services among managers and policymakers (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e). Therefore, in line with the changes implemented in other countries, the Ministry of Health and Medical Education of Iran, in order to achieve the vision of 2025, has designed a comprehensive transformation plan in the health system, which has been implemented since May 5, 2014 and is now ongoing (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e). The transformation plan of Iran's health system began with three approaches (financial protection for the patients, improving equity in access to health services and improving the quality of services) consisting of seven programs, which can be considered the beginning of a positive and efficient change in the health system of Iran (17\u0026thinsp;\u0026minus;\u0026thinsp;15). Another important goal of this plan is to reduce the out of pocket health expenditures (\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e), which according to official statistics, the cost of out-of-pocket payments in Iran has been declining since the beginning of the health system transformation plan, from 58% in 2011 to 49% in 2013, 40% in 2014 and finally 32.46% in 2017 (\u003cspan additionalcitationids=\"CR20 CR21 CR22\" citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e). As such, the purpose of the HTP is to improve people's health, reduce out-of-pocket payments and develop health indicators (26\u0026thinsp;\u0026minus;\u0026thinsp;24). Various methods can be used to assess the success of the health sector in achieving these goals. One of these methods is to study the performance indicators of hospitals (\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e). In fact, performance indicators are measures for evaluating performance that help the organization to assess and determine progress in achieving goals (\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e). On the other hand, the information obtained from the performance indicators shows the quality of the health services and, as a guide, determines the future activities which should be followed by the hospitals. The most important functional indicators of hospitals are the bed occupancy percentage indicator, the bed rotation rate, the average length of stay, the ratio of surgeries to the bed, the mortality rate and the rate of hospitalization per bed (\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e). The bed occupancy coefficient refers to the occupant beds that are calculated as the ratio of the occupied day bed to the active day bed over a given period of time. Bed rotation distance is the number of times that patients use a hospital bed over a period of time. The average length of stay of a patient is the sum of the total number of beds occupied at a given time in the same number of discharged and dead patients in the same period (\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e). The ratio of surgeries to the bed refers to the ratio of surgeries performed in a period to the day operation bed of the same period (\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e). The mortality rate is the number of deaths in inpatient wards after 24 hours per 1,000 discharged patients. The number of patients hospitalized is the number of patients admitted per thousand population of the region in hospitals (\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eNumerous studies around the world have examined the effect of reforms on the functional indicators of the health system, including the studies carried out by Shen et al., in China (\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e), Yasar in Turkey (\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e) and Sommers in Massachusetts, USA (\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIn addition, Dadgar, Rezaei, Mousavi Rigi, Zarei, Ghazizadeh, Yusefi, Hashemian and Kasiri, et al., separately examined the effect of health transformation plan on performance indicators in different hospitals in Iran and concluded that the implementation of health system transformation plan has led to significant improvements in the performance indicators of hospitals, so that after the implementation of the plan, the indicators have been in a better position than before (\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e). Although several studies have been conducted in different parts of Iran regarding the impact of the implementation of the health system transformation plan on the performance indicators of hospitals, so far no studies have been done in this regard in Yazd hospitals, which are known as referral hospitals for southern and southeastern regions of Iran. It should be highlighted that many people from the southern and southeastern provinces of Iran come to these hospitals for their health needs, so considering the importance of this issue in future planning and policy of the health system, this study aims to investigate the effect of the health system transformation plan on the trend of changing the performance indicators of the public hospitals in Yazd.\u003c/p\u003e "},{"header":"Methods","content":" \u003cp\u003eThe present study is a cross-sectional research using the interrupted time series method to investigate the impact of the implementation of the Iranian health transformation plan (HTP) on the trend of changes in the performance indicators of public hospitals in Yazd in 2019. The research population includes all public hospitals in Yazd, as HTP was implemented in the public health sector. Performance indicators included bed rotation distance, bed occupancy rate, average length of stay of the patient, mortality rate, patient hospitalization rate and the ratio of surgeries performed to the bed, and the data related to these indicators were collected in the form of Excel sheets and on a monthly basis in the two periods of 12\u0026nbsp;months before and 12\u0026nbsp;months after the implementation of HTP from medical statistics and nursing units of each hospital and also the deputy of treatment of the Yazd University of Medical Sciences. Data regarding the above indicators were collected and interred into the SPSS software version 22, Using the paired t-test, the average of each indicator for the year before and after the plan was compared with each other. Then, using the interrupted time series analysis method, the data in the two periods before and after HTP were considered as an interrupted time series and the effects of the transformation plan on both the level of indicators and the trend of changes of the indicators after the plan were examined. In the interrupted time series model, two variables show the effect of a policy or intervention; the first one is level which determines the immediate effect of the intervention and the second is the trend variable that indicates the long-term effect of the intervention. The passage of time in the present study refers to the months that have passed since the implementation of the HTP, in which we considered 12\u0026nbsp;months after the transformation plan in addition to 12\u0026nbsp;months before the plan (although May is not included in the analysis). Using this method, we can find out what changes (immediate and short-term changes) the level of indicators has experienced at the beginning of the project, i.e. in the 13th month and also how the trend of each indicator has changed over the time (month by month). To estimate the ITS model, according to the use of time series data, first to prevent the false regression estimation of static data, the data of the indicators were examined using the root test of the Dickey-Fuller unit. Accordingly, the null hypothesis stating that there is a single root for all indicators is rejected. (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05) and the time series is static for all indicators. Then, for each of the indicators, the following regression pattern is estimated:\u003c/p\u003e \u003cp\u003eY\u0026thinsp;=\u0026thinsp;β\u0026thinsp;+\u0026thinsp;βT\u0026thinsp;+\u0026thinsp;βX\u0026thinsp;+\u0026thinsp;βXT\u0026thinsp;+\u0026thinsp;ε\u003c/p\u003e \u003cp\u003ewhere Y represents the value of each indicator per month. T, X, XT and ε indicate time, interference, the interaction of time and interference and part of the error, respectively. Since the month of the intervention (i.e. health transformation plan), X1, which is an imaginary variable, takes the value of 1 and before that the value of zero. β0, β1, β2, and β3 indicate a constant value, time trend without considering intervention, immediate effects of the intervention on the level of selected indicators and continuous effect of the intervention on the trend of indicators, respectively. This research was approved by the ethics committee in the research of Shahid Sadoughi University of Medical Sciences in Yazd based on the approval of IR.SSU.SPH.REC.1397.136 on 2/2/2019.\u003c/p\u003e "},{"header":"Results","content":" \u003cp\u003eThe findings of the study are presented in the form of three tables and one figure.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eHospitals surveyed by hospital type, number of beds and total number of hospitalized individuals\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eVariable\u003c/p\u003e \u003cp\u003eHospital\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eNumber of fixed beds\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003eNumber of active beds\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e \u003cp\u003eTotal number of hospitalized individuals\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e12 months before the implementation of the plan\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e12 months after the implementation of the plan\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e12 months before the implementation of the plan\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e12 months after the implementation of the plan\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e12 months before the implementation of the plan\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e12 months after the implementation of the plan\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eShahid Sadoughi\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e582\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e582\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e387\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e428\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e30705\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e34540\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRahnamoun\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e200\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e200\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e152\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e152\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e6857\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e11277\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAfshar\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e220\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e220\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e155\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e144\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e10572\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e14952\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTotal\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1002\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1002\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e694\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e724\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e48134\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e60769\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e show that the total number of active beds as well as the total number of hospitalized individuals to the studied hospitals has increased after the implementation of the health transformation plan.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eAverage and standard deviation of performance indicators before and after the implementation of the health transformation plan\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eIndicator title\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eAverage\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003eStandard Deviation\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e12 months before the implementation of the plan\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e12 months after the implementation of the plan\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e12 months before the implementation of the plan\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e12 months after the implementation of the plan\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBed occupancy coefficient\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e71.89\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e79.86\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e7.513\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e6.833\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBed rotation distance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.556\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.856\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.6385\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.4246\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAverage patient stay\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e3.889\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e3.433\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.3823\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.4014\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMortality rate\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e25.19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e24.22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e13.223\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e15.355\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePatient's hospitalization rate\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1420.44\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1688.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e837.429\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e886.678\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eThe ratio of surgical operations to bed\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e3.1111\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5.2514\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1.02086\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e2.37526\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e shows that the average of performance indicators in the period of 12 months after the implementation of the health transformation plan has changed compared to the same period before the implementation of the plan, so that the average number of \"bed occupancy coefficient\", \"patient's hospitalization rate\" and \"the ratio of surgical operations to bed\" has increased and \" bed rotation distance\", \" average patient stay\" and \" mortality rate\" has decreased after the implementation of the transformation plan.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eEvaluation results of ITS model for the effect of health transformation plan on the performance indicators of public hospitals in Yazd\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIndicator title\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eVariable\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCoefficient\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003ep-value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBed occupancy coefficient\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLevel change due to intervention (β2)\u003c/p\u003e \u003cp\u003eProcedure change due to intervention (β3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.447\u003c/p\u003e \u003cp\u003e\u0026minus;\u0026thinsp;0.006\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.000\u003c/p\u003e \u003cp\u003e0.932\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBed rotation distance\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLevel change due to intervention (β2)\u003c/p\u003e \u003cp\u003eProcedure change due to intervention (β3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-0.291\u003c/p\u003e \u003cp\u003e-0.007\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.880\u003c/p\u003e \u003cp\u003e0.918\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAverage patient stay\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLevel change due to intervention (β2)\u003c/p\u003e \u003cp\u003eProcedure change due to intervention (β3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.287\u003c/p\u003e \u003cp\u003e-0.058\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.769\u003c/p\u003e \u003cp\u003e0.397\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMortality rate\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLevel change due to intervention (β2)\u003c/p\u003e \u003cp\u003eProcedure change due to intervention (β3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-4.828\u003c/p\u003e \u003cp\u003e0.258\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.000\u003c/p\u003e \u003cp\u003e0.000\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePatient's hospitalization rate\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLevel change due to intervention (β2)\u003c/p\u003e \u003cp\u003eProcedure change due to intervention (β3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-136.5\u003c/p\u003e \u003cp\u003e31.41\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.000\u003c/p\u003e \u003cp\u003e0.000\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eThe ratio of surgical operations to bed\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLevel change due to intervention (β2)\u003c/p\u003e \u003cp\u003eProcedure change due to intervention (β3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.517\u003c/p\u003e \u003cp\u003e0.063\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.359\u003c/p\u003e \u003cp\u003e0.120\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e shows the results of the interrupted time series analysis for the performance indicators of the studied hospitals. According to Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e, the coefficient of the level indicates the immediate effect of the health transformation plan on each indicator, and the coefficient of the trend indicates the continuous effect of the HTP on the trend of each of the indicators. The trend of changes in the performance indicators of the public hospitals in Yazd, 12 months before and 12 months after the HTP, is shown in Fig.\u0026nbsp;1. According to the results of interrupted time series analysis, the implementation of the HTP did not have a significant effect on the level and trend of bed rotation distance, average patient stay and the ratio of surgeries performed to bed (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05). The implementation of the health transformation plan has had a statistically significant impact on the level and trend of mortality and patient admission rates (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). Moreover, the implementation of the health transformation plan has had a significant effect on the level of the bed occupancy indicator (P\u0026thinsp;\u0026lt;\u0026thinsp;0.05), but did not have a significant effect on the trend of this indicator (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05).\u003c/p\u003e \u003cp\u003eIn other words, after the implementation of the health transformation plan, the level of bed occupancy and the average stay of the patient indicators immediately increased, but the trend of these two indicators has decreased, so that the health transformation plan has instantly increased the bed occupancy and the average stay of the patient rates, but over time, the transformation plan has reduced the trend of these two indicators. Beyond, after the implementation of the plan, the level of mortality and hospitalization indicators immediately decreased, but the trend of these two indicators has increased. Similarly, the health transformation plan does not have a significant effect on the bed rotation distance and the ratio of surgeries to bed indicators.\u003c/p\u003e "},{"header":"Discussion","content":" \u003cp\u003eAccording to the research findings, after the implementation of the health transformation plan, the patient hospitalization rate has significantly increased. In his study, Ghazizadeh confirmed the positive nature of the transformation plan and the increase in the number of hospitalized patients in hospitals based in East Azerbaijan (\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e). The reason for this increase can be attributed to the goals of the transformation plan, such as reducing patient payments and financially protecting patients with expensive and hard-to-cure diseases (\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e). According to the Ministry of Health and Medical Education, due to the implementation of the transformation plan, patients coinsurance has decreased from 37\u0026ndash;4.5% on average, which in turn increases people's access to health services, especially for the poor; this has resulted in an increase in hospital admissions (\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e). Shen et al., examined the effects of the health transformation plan on the performance of hospitals in China from 2001 to 2005 and concluded that the new health reform policy had positive effects on reducing patients' economic burden (\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e). The present study was consistent with the study of Faridfar, Zarei, Ghazizadeh and Shen et al. (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e, \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e). In this study, the bed rotation distance after the implementation of the transformation plan has been increasing. In his study, Faridfar concluded that the implementation of the health transformation plan had a growing positive impact on hospital productivity and the use of beds (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e). The reason for this situation can be attributed to the increase in the turnover of hospitals with the implementation of the health transformation plan (\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e). Additionally, according to Hashemian's study, the average of this indicator in university centers of Isfahan province has increased from 70.2 times in 2012 to 71.2 in 2013, 73.9 in 2014 and 76.4 times in 2015 (\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e). The present study was consistent with the studies of Yusefzadeh, Faridfar, Rezaei, Kasiri, Hashemian and Mousavi Rigi (\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e, \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e). With the implementation of the health transformation plan, the bed occupancy indicator has increased, but over time, the trend or slope of this indicator has decreased. In his study, Rezaei confirmed the positive implementation of the transformation plan and the increase of this indicator in Hamedan hospitals (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e). Yasar also showed in his study that the implementation of the transformation plan in the Turkish health system has filled hospital beds and, as a result, increased the bed occupancy rate (\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e). The reasons for this increase can be rooted in the goals of the transformation plan, such as reducing patient payments, retaining physicians in disadvantaged areas, the presence of specialist physicians in hospitals affiliated with the Ministry of Health and Medical Education, improving the quality of hospital services, improving hospital hoteling services, and financial protection of patients with expensive and so-called hard-to-cure diseases (\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e). In addition, according to Yusefi's study, the average of this indicator in public hospitals based in Shiraz has increased by 8% and has improved from 72.7 to 80.55 (\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e). The present study was consistent with the studies of Rezaei, Yasar, Yusefzadeh, Dadgar, Zarei, Anderson and Yusefi (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e, \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e, \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e). In this study, the ratio of surgeries performed to bed has increased significantly after the implementation of the transformation plan. This increase indicates that the treatment of patients who needed surgery was performed in a timely manner by specialist physicians present at the hospital. Moreover, increasing the quality of hospital visit and hoteling services after the implementation of the transformation plan can justify this increase (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e). In a study that examined the program of the transformation plan in Turkey, the effect of the plan on increasing the number of surgeries was significant (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e). Additionally, according to Yusefi's study, the average of emergency surgeries in public hospitals in Shiraz has reached from 189.18 to 208.43 and the average of elective surgeries increased from 517.95 to 637.71 (\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e). The present study was consistent with the study of Sahin, Yusefi, Dadgar, Zarei, and Faridfar (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e). The present study showed that with the implementation of the health transformation plan, the average stay of the patient has increased, which, of course, has not been statistically significant. This finding is inconsistent with the results of Rezaei's study carried out in Hamadan hospitals (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e). Numerous studies in Isfahan hospitals have shown that this plan has increased the length of stay of patients and led to problems such as lack of beds and ultimately the inefficient use of beds by patients (\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e). One of the reasons for the increase in the length of stay in Lorestan hospitals is the increase in the number of expensive surgeries, which require longer care in the hospital and therefore increase the length of the patient's stay (\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e). Moreover, according to Hashemian's study, the average patient stay for all hospitals studied between 2012 and 2015 was 2.8, 3, 2.8 and 2.9, respectively (\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e). The present study was consistent with the studies conducted by Kasiri, Dadgar, Ghazizadeh, and Yusefi (\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e, \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e). In the present study, the mortality rate has significantly decreased after the implementation of the health transformation plan. In his study, Sadeghifar showed that the mortality rate indicator for target hospitals was favorable (\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e). Sommers found that health care reform in Massachusetts was associated with a significant reduction in mortality in all cases and mortality due to acceptable causes in health care (\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e). In contrastive and comparative studies, the mortality rate is a good indicator of the quality of care. Of course, it should be noted that factors such as time, place and person are also involved in the mortality process and one cannot judge solely on the basis of the number obtained (\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e). The present study was consistent with the study of Sadeghifar and Sommers (\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e, \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e).\u003c/p\u003e "},{"header":"Conclusion","content":"\u003cp\u003eBased on the research findings, it was revealed that the performance indicators of the studied hospitals have improved after the implementation of the health transformation plan. Given that the bed occupancy rate and bed rotation distance increased further after the implementation of the transformation plan, it can be assumed that this increase was related to patients who needed treatment but due to high out-of-pocket payments before the implementation of the transformation plan, they discontinued treatment or did not have access to specialist physicians and so pursued their treatment after the implementation of the transformation plan, the reduction of the amount of coinsurance, as well as greater access to specialists (36). Continuation of such plans, provided that sustainable financial resources are planned and adequate human and physical resources are available, will be an important step towards the realization of universal health and justice coverage (29). In addition, it should be noted that the present study only examines the indicators mentioned in the text, and judging the final effects of the health transformation plan is subject to more extensive research and the use of more indicators (36). Finally, it is suggested that health officials should support HTP and all its phases, both financially and politically. Continuous monitoring of the plan and redesign to cover weaknesses and continuous analysis of the achievements can also ensure the continuity of the plan. In the case of those performance indicators that may not have the desired trend, continuous and purposeful monitoring can be done in order to identify weaknesses and use corrections, if necessary. It is important to note that the key to the success of a health transformation plan is the integration of the health system, joint ventures, targeted planning, the adoption of correct and enforceable policies, and the strengthening of hospital infrastructure.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eLimitation of the study\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAlthough this study attempted to consider the effect of distorting variables in the analysis model, there may be other factors simultaneously with the implementation of the health system transformation plan that have affected the trend of hospital indicators and these effects have not been observed in this research.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis paper has been extracted from a MSc research thesis of Shahid Sadoughi University of medical sciences. Authors appreciate the people who contributed in this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor's contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMR, HJ, MB, MP and VP designed the research; MR and VP conducted it; VP and MB extracted the data; MP and MB analyzed data: MR, HJ, MB, MP and VP prepared the manuscript.. All authors read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe are grateful to Shahid Sadoughi University of Medical Sciences that supported the study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research was approved by the ethics committee in the research of Shahid Sadoughi University of Medical Sciences in Yazd based on the approval of IR.SSU.SPH.REC.1397.136 on 2/2/2019.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eHTP: health transformation plan\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e \u003cspan\u003eJoshani M. 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Health System Reform Plan and Performance of Hospitals: An Iranian Case Study. Mater Sociomed. 2017;29(3):201\u0026ndash;6.\u003c/span\u003e \u003c/li\u003e \u003cli\u003e \u003cspan\u003eHeydarian N, Vahdat S. The Impact of Healthcare Reform Plan to Pay Out of Pocket Patients in Public Hospitals of Isfahan. Journal of Medical Council Iran. 2015;33(3):187\u0026ndash;94.\u003c/span\u003e \u003c/li\u003e \u003cli\u003e \u003cspan\u003eAnderson T, Catchlove B. Health and Hospital Reform in Australia: A Local Health District's Perspective. World Hospitals Health Services. 2012;48(3):21\u0026ndash;4.\u003c/span\u003e \u003c/li\u003e \u003cli\u003e \u003cspan\u003eSahin I, Ozcan YA, Ozgen H. Assessment of Hospital Efficiency under Health Transformation Program in Turkey. CEJOR. 2011;19(1):19\u0026ndash;37.\u003c/span\u003e \u003c/li\u003e \u003cli\u003e \u003cspan\u003eSadeghifar J, Ashraf Rezaei N, Hamoozadeh P, Taghavi Shahri M, Shams L. 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Journal of Urmia School of Nursing Midwifery. 2011;9(4):270\u0026ndash;76.\u003c/span\u003e \u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Health Transformation Plan, Performance Indicators, Public Hospitals, Interrupted Time Series Model","lastPublishedDoi":"10.21203/rs.3.rs-38410/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-38410/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eIntroduction\u003c/strong\u003e: Health systems need constant changes and reforms in their structure in order to adapt to changing conditions and meet the needs of society. One of the fundamental changes in the health system of Iran is the health transformation plan (HTP), the effects of which must be examined from different aspects. Therefore, the purpose of this study is to investigate the effect of HTP on the performance indicators of public hospitals in the context of Yazd. \u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eMethods\u003c/strong\u003e: The present cross-sectional study was carried out in all public hospitals in Yazd. Six performance indicators were examined on a monthly basis and in two time periods of 12 months before and after the implementation of HTP. Data were analyzed using SPSS software program version 22, the paired T-test and the Interrupted Time Series model. \u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eFindings\u003c/strong\u003e: The implementation of the health transformation plan did not have a significant effect on the bed rotation distance, average length of stay and the ratio of surgical operations to bed indicators (p\u0026gt; 0.05). However, it had a statistically significant effect on the level and trend of mortality and hospitalization rates (p \u0026lt;0.05). Moreover, the implementation of HTP had a significant effect on the level of the bed occupancy indicator (P \u0026lt;0.05), but did not have a significant effect on the trend of this indicator (p\u0026gt; 0.05).\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConclusion\u003c/strong\u003e: Based on the research findings, all the selected indicators changed to some extent after the implementation of HTP, which in a way showed the effect of this plan on the performance of hospitals. Therefore, the continuation of such a plan, provided that sustainable financial resources are planned and human and physical resources are organized properly, can be an important step towards achieving universal health coverage and increasing justice in access to services.\u003c/p\u003e","manuscriptTitle":"Effect of Health Transformation Plan on the Public Hospitals Performance Indicators; a case study in Iran","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2020-07-24 19:55:29","doi":"10.21203/rs.3.rs-38410/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"117884c5-fe1b-4432-b31f-fb689eeecd6b","owner":[],"postedDate":"July 24th, 2020","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":200432,"name":"Health Policy"},{"id":200433,"name":"Health Economics \u0026 Outcomes Research"}],"tags":[],"updatedAt":"2020-07-25T16:48:17+00:00","versionOfRecord":[],"versionCreatedAt":"2020-07-24 19:55:29","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-38410","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-38410","identity":"rs-38410","version":["v1"]},"buildId":"cBFmMYwuxLRRLfASyISRj","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}