Establishment of an indicator framework for Global One Health Intrinsic Drivers index based on the Grounded Theory

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This study established a Global One Health Intrinsic Drivers index framework with three first-level, 15 second-level, and 61 third-level indicators to scientifically measure human, animal, and environmental health development.

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The paper aimed to establish an indicator framework for the Global One Health Intrinsic Drivers index (GOH-IDI) to evaluate development processes across human, animal, and environmental health worldwide. Using grounded theory to analyze 82 studies (open, axial, and selective coding), the authors built a three-level indicator structure and then used semi-structured interviews with 28 health-related experts to integrate and simplify indicators, followed by a fuzzy analytical hierarchy process (FAHP) to assign weights. The resulting framework included three first-level indicators, 15 second-level indicators, and 61 third-level indicators, with “Reproductive, Maternal, New-born, and Child Health” receiving the highest weight within Human Health, “Animal Epidemic Disease” highest within Animal Health, and “Air Quality and Climate Change” highest within Environmental Health. The authors note the work is a preprint and not peer reviewed, with only the upstream methods and framework described rather than an explicit validation of performance across settings. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract Background: One Health has become a global consensus to deal with complex health problems. However, the development process of One Health practice in various countries is still relatively slow, and there is a lack of systematic evaluation index. The purpose of this study was to establish an indicator framework for global One Health Intrinsic Drivers index (GOH-IDI) to evaluate human, animal and environmental health development process globally. Method: First, 82 studies were deeply analyzed by a grounded theory (GT) method, including open coding, axial coding, and selective coding, to establish a three-level indicator framework, which was composed of three first-level indicators, 19 second-level indicators, and 79 third-level indicators. Then, through semi-structured interviews with 28 health-related experts, the indicators were further integrated and simplified according to the inclusion criteria of the indicators. Finally, a fuzzy analytical hierarchy process (FAHP) was used to assign weights to the indicators, thus, forming the evaluation indicator framework of human, animal and environmental health development process. Results: An indicator framework for GOH-IDI was formed consisting of three first-level indicators, 15 second-level indicators and 61 third-level indicators. There were six second-level indicators for “Human Health”, of which “Reproductive, Maternal, New-born, and Child Health” had the highest weight (20.63%) and “Health Risk” had the lowest weight (13.01%). There were four second-level indicators for “Animal Health”, of which “Animal Epidemic Disease” had the highest weight (31.87%) and “Animal Nutritional Status” had the lowest weight (17.36%). Five second-level indicators were set under “Environmental Health”, among which, “Air Quality and Climate Change” had the highest weight (23.82%) and “Hazardous Chemicals” had the lowest weight (17.52%). Conclusions: An indicator framework for GOH-IDI was established in this study. The indicators were universal, balanced, and scientific, and established a tool for scientifically measuring the development level of human, animal and environmental health in different regions globally.
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Establishment of an indicator framework for Global One Health Intrinsic Drivers index based on the Grounded Theory | 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 Article Establishment of an indicator framework for Global One Health Intrinsic Drivers index based on the Grounded Theory jiaxin FENG, Zhaoyu Guo, Lin Ai, Jingshu Liu, Xiaoxi Zhang, Chunli Cao, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1776508/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 4 You are reading this latest preprint version Abstract Background: One Health has become a global consensus to deal with complex health problems. However, the development process of One Health practice in various countries is still relatively slow, and there is a lack of systematic evaluation index. The purpose of this study was to establish an indicator framework for global One Health Intrinsic Drivers index (GOH-IDI) to evaluate human, animal and environmental health development process globally. Method: First, 82 studies were deeply analyzed by a grounded theory (GT) method, including open coding, axial coding, and selective coding, to establish a three-level indicator framework, which was composed of three first-level indicators, 19 second-level indicators, and 79 third-level indicators. Then, through semi-structured interviews with 28 health-related experts, the indicators were further integrated and simplified according to the inclusion criteria of the indicators. Finally, a fuzzy analytical hierarchy process (FAHP) was used to assign weights to the indicators, thus, forming the evaluation indicator framework of human, animal and environmental health development process. Results: An indicator framework for GOH-IDI was formed consisting of three first-level indicators, 15 second-level indicators and 61 third-level indicators. There were six second-level indicators for “Human Health”, of which “Reproductive, Maternal, New-born, and Child Health” had the highest weight (20.63%) and “Health Risk” had the lowest weight (13.01%). There were four second-level indicators for “Animal Health”, of which “Animal Epidemic Disease” had the highest weight (31.87%) and “Animal Nutritional Status” had the lowest weight (17.36%). Five second-level indicators were set under “Environmental Health”, among which, “Air Quality and Climate Change” had the highest weight (23.82%) and “Hazardous Chemicals” had the lowest weight (17.52%). Conclusions: An indicator framework for GOH-IDI was established in this study. The indicators were universal, balanced, and scientific, and established a tool for scientifically measuring the development level of human, animal and environmental health in different regions globally. Global One Health Intrinsic Drivers index Indicators Grounded theory Fuzzy analytical hierarchy process Full Text Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 02 Jul, 2022 Reviewers invited by journal 24 Jun, 2022 Editor assigned by journal 23 Jun, 2022 First submitted to journal 20 Jun, 2022 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-1776508","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":116041482,"identity":"38922271-7740-425e-946a-9986a7dbb6b0","order_by":0,"name":"jiaxin FENG","email":"","orcid":"https://orcid.org/0000-0003-2043-4386","institution":"NIPD: National Institute of Parasitic Diseases","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"jiaxin","middleName":"","lastName":"FENG","suffix":""},{"id":116041483,"identity":"cc239b58-246f-40b8-b47e-48812e0ddeac","order_by":1,"name":"Zhaoyu 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