Abstract
Introduction: With the global spread of Coronavirus disease (COVID-19) and public health crisis, appropriate
allocation of healthcare human resources has been necessitated. Although nursing practice takes up a larger part
of medical practice in hospitals, the quantitative assessment of nursing care has not been investigated for human
resource allocation in the medical field. The objective of this study to explore the time spent for each nursing
intervention, and compared provided amount of nursing intervention between negative pressure isolation wards
(NPIWs) and general wards (GWs) provided by COVID-19 hub hospitals.
Methods
This research is a time-motion (TM) observational study. Three trained external observers recorded
their observations for every minute in 19 different work schedules in 2 NPIWs and 2 general respiratory wards.
Observation items were chosen based on the standard operating guidelines of Integrated Nursing and Caring
Services developed by the Ministry of Health and Welfare and National Health Insurance Service. The average
nursing workload per shift was compared by calculating the sum of the spent time of three nurses staffed in each
shift in each ward between two groups. In addition, to compare the amount of directed nursing care for patients
between two types of wards, nursing work category was divided into directed and undirected nursing
interventions.
Results
In the comparison of demographic characteristics of nursing workforce between two groups, there was
no statistically significant difference (p>0.05 respectively). In both groups, the most time-consuming nursing
work category was recording in three work shifts. The average duration of those work tasks was 312.5 minutes
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice.
in NPIWs and 307 minutes (per 3 nurses) in GWs, having no significant difference (p>0.05). Of all nurse duties,
the second most time-consuming work category was others (including changing to protective clothing) in
NPIWs, and medication administration and transfusion in GWs. The mean duration of performing the category
for others that include wearing PPE was 308 minutes in NPIWs and 160 minutes (per 3 nurses) in GWs,
showing a significant difference (p<0.05). The greater amount of time was taken for hygiene management in
isolation wards. Medication administration and transfusion and nursing assessment were more frequently
performed in GWs, demonstrating a statistical significance. In the aggregated spent time for all duties including
directed and undirected nursing care, the time spent for directed nursing care was 654 minutes longer in GWs
than in NPIWs (per 3 nurses) in each work shift, displaying a significant difference.
Conclusion
This study provides the quantitative difference in time-consuming nursing works between NPIWs
and GWs by direct observation. Recording was the most time-consuming nursing work category in both NPIWs
and GWs. Considering nurses in each duty in GWs provided more directed nursing care than nurse in NIPWs,
careful considerations are required in allocation of nursing workforce.
Keywords
Health provider burden, Nursing management, Ne gative pressure ward, Time Motion study, Nursing
Intervention
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
Introduction
The pandemic of Coronavirus disease 2019 (COVID-19) has brought substantially changes in duties in the
nursing field. The WHO first reported COVID-19 on December 31, 2019 [WHO. 2003], and declared Public
Health Emergency of International Concern (PHEIC) international attention on January 31, 2020 [Kim and Lee,
2021]. Since the first outbreak of severe acute respiratory syndrome (SARS) in 2002 in China, disease spread
has influenced not only SARS affected patients, but also healthcare providers in wards and regions. The
repeated experiences of infectious disease pandemic disasters have provided an opportunity to warn medical
negligence on infectious disease and reform prevention measures worldwide for the past decades.
Unlike other diseases, infectious diseases are very extensive and continuously use up medical resources. In
particular, healthcare providers, the most important medical resources have been consistently consumed by
patients with infectious disease. Recent studies have revealed that the outbreak of COVID-19, one of the
infectious diseases has threaten mental health and lives of nurses by increasing tension and stress in nursing
duties [Kackin, 2021]. Middle East respiratory syndrome coronavirus (MERS-CoV), one of recent infectious
diseases has caused the risk of post-traumatic stress disorder (PTSD) for a substantial period of time in
healthcare workers who participated in clinical management of this pandemic. Likewise, infectious disease crisis
can incur negative outcomes short- and long-term in both physical and mental health of medical staffs.
Therefore, research for prevention and management of infectious disease needs to be prepared for public health
in a broad perspective as we go through the era of coexisting with coronavirus disease.
In practice, intensive care units (ICUs) are being operated for crisis response to a surge of confirmed COVID-19
cases in the clinical fields. For prevention of airborne transmission of COVID-19, confirmed patients are
admitted to negative pressure isolation wards (NPIWs) with the control system of infectious aerosols escape,
instead of in general wards (GWs) [Eom, 2018]. Nurses working in NPIWs have additional tasks compared to
those working in GWs. These tasks included work environment of exposure to infectious disease, work stress in
isolation wards (IWs), wearing full-body protective clothing as personal protective equipment (PPE), attachment
of Easy Talk device for two-way communication, wearing a powered air purifying respirator (PAPR) and others.
With the worldwide spread of the COVID-19 pandemic, adequate allocation of medical resources is demanded
for healthcare providers in the crisis of public health [Lee, 2020]. Even though nursing intervention accounts for
one of the largest proportions of medical practices, nursing care has been insufficiently considered and explored
in allocation of healthcare human resources and quantitative assessment of nursing intervention. Therefore,
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
understanding nursing workload and the time spent on each nursing intervention in NPIWs is required to
optimal nurse staffing [Kalisch et al., 2011], [Ren et al., 2022], and achieve patient outcomes [Yi & Kim, 2021;
Xie, 2021]. However, studies have not yet been performed to explore the total duration of nursing intervention
and total nursing workload. In addition, no studies have compared NPIWs and GWs by observing the subjects
on the basis of time-based patterns. This research designed as a time-motion (TM) observational study aims to
explore the time spent for each nursing intervention, and compared provided amount of nursing intervention
between negative pressure isolation wards (NPIWs) and general wards (GWs) provided by COVID-19 hub
hospitals
Method
Overall Study Design
In this cross-sectionally observational study, we recruited the four secondary general hospitals that have more than 100 beds
and less than 300 beds. Among four hospital, two hospitals with isolation wards for COVID-19 which designated by Ministry
of Health and Welfare were participated to figure out the overall work hours for each activity of a nurse, and difference in
duration of directed/undirected nursing cares. The nursing delivery system of two isolation wards is functional nursing (task-
forced), however, that of general wards is team nursing (person-centered). In addition, the all of duties in each ward are staffed
by three nurses. Therefore, we compared the total duration of each nursing work category by shift (of three nurses) in isolation
wards and in general wards to consider the different nursing delivery system. To assess the time required to accomplish specific
nurses’ tasks, we conducted basic time motion study (TMS) [Taylor, 1914; Lopetegui, 2014].
Participants Recruitment
Four hospitals were selected as study samples through convenience sampling including two COVID-19 hub
hospitals with isolation wards and two hospitals with general wards located in Seoul, Gyeonggi, and Chungbuk
regions among 318 tertiary hospitals registered to the Health Insurance Review and Assessment Service as
healthcare institutions in 2022 [Korean Statistical Information Service (KOSIS), 2022]. This study recruited
samples after gaining the approval of participation from each institution. One of the methods for efficient use of
nursing workforce is to utilize the patient classification system. This study classified patient severity in each
hospital using the Korean Patient Classification System (KPCS-1).
The subjects were chosen through population sampling by posting a recruit notice and gaining approval in the
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
Department of Nursing of each hospital. To avoid any negative consequences by co-investigators in subject
selection, exogenous variables were controlled with recruitment of study subjects. All subjects were fully
informed of the research purposes and survey procedures and voluntarily participated to the study with a written
consent among formally employed nurses working in NPIWs and GWs. Inclusion criteria for performance
ability of nursing interventions were a minimum clinical experience of two years on average, work position of
charge nurse with work experience in NPIWs, and a minimum educational level of bachelor degree in nursing.
After the classification of patient severity by the Department of Infection in each hospital chosen as the
participating institution, patient information retrieval was extracted by nurses who were the third persons among
confirmed COVID-19 patients admitted to NPIWs.
Questionnaire items
This study investigated the clinical practice guidelines of international, domestic and foreign, and hospital
standards to build observational questionnaire items for nursing interventions in COVID-19 patients in NPIWs.
We selected candidate observational items as following: 1) A literature review and information retrieval on
domestic and international clinical practice guidelines in NPIW nursing intervention; 2) Detailed work tasks
according the clinical nursing practice guideline categories were divided into 101 items in 13 different
categories chosen based on the standard operating guidelines of Integrated Nursing and Caring Services
developed by the Ministry of Health and Welfare and National Health Insurance Service [the Ministry of Health
and Welfare; National Health Insurance Service, 2016] and the response measures of government organizations
and local communities according to COVID-19 crisis response situations of the Korea Research Institute for
Healthcare Policy [KHAPA, 2021]. 3) Job description, clinical nursing manual, and clinical practice guidelines
equipped in each ward were analyzed to identify work tasks and work flow patterns in NPIWs. 4) Based on
the above mentioned stages, nursing intervention items addressed in COVID-19 NPIW clinical nursing practice
guidelines were developed as the directed and undirected nursing intervention tool consisting of 19 categories
and 123 items. To ensure the reliability of the developed survey tool, discussed issues in NPIWs were reflected
through simulation prior to the main study. Comments and opinions from expert nurses were shared and
member check were additionally done to improve the validity of the study results [Birt et al., 2016].
For the assessment of directed and undirected nursing interventions as the COVID-19 NPIW clinical nursing
practice guidelines, the study tool developed in this study consists of 19 work categories and 123 items on
detailed work tasks. The 19 major nursing practice categories include respiration (10), medication and
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
transfusion (5), nutrition (3), safety (8), measurement and observation (13), excretion (13), hygiene (9), exercise
and activity (10), stability (8), treatment and inspection (7), information management (4), check-up and follow-
up (7), communication (6), nurse training (1), education and consultation (7), emotional support (3),
communication/adjustment between departments (3), personal free time, and others (5).
Data collection
Data were collected after gaining the approval from the Department of Nursing of each institution
participating the study. Data collection for the NPIW nursing intervention assessment tool was carried out until
November after gaining the IRB approval. Observation was done by making a contract to the chief director of
each hospital prior to the visit. As protective measures in the direct observation of vulnerable subjects, to
exclude any concerns over possible negative consequences by co-investigators who could affect subject’s
decision-making for voluntary participation to the study, consent was obtained by the third person unrelated to
this study.
Data collection was performed by external observers. Prior to the direct observation of the subjects, the
participants were fully informed of the research purposes and procedures by the observer in every work shift.
Investigators saved basic data in the Stopwatch a tablet computer, and recorded direct observation checkpoints
and took note of directed and undirected nursing interventions in COVID-19 patients.
The time spent on nursing interventions were measured in details according to the flow of work from the
starting point to the ending point in every minute. The spent time was analyzed by examining only the floor
where the nurse station was located considering spatial location and facility arrangement. The analysis was
performed by selecting hospital rooms having the similar distance from the nurse station and patient room. For
24-hour straight data collection as a TM observational study, the principal and co-investigators visited four
hospitals and consecutively observed 36 nurses working on their day, evening, and night shifts by nursing
intervention without rest. Not to disturb work during observation time, observers exerted effort to perform 1:1
observation at a close distance from 7 a.m. to 7 a.m. the next day. Nursing interventions done for patients in
NPIWs and GWs were explored in details including the content, frequency, and nursing care hours of
interventions.
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
Statistical analysis
Descriptive statistics for nurses’ profile (eg, age, education, position) and work profile including
working hours, were explored. Then, we conducted Fisher’s exact test to determine the difference in
the proportion of categorical variables of nurses working categories in isolation wards, and general
wards by shift by considering small-sized samples[Kim, 2017]. For continuous variables such as work
hours recorded of each nursing category in seconds, Mann Whitney U-test was performed. We
consider P values <0.05 as statistical significance for 2-sided hypothetical tests. By aggregating work
categories according to the classification between the directed or undirected nursing cares, we
analyzed the difference in the total time of directed or undirected nursing care between isolation
wards and general wards. We conducted statistical analysis with python (version 3.7) including open
source package Table One, and Pandas [Tom J Pollard, 2018].
Ethics Statement
The study protocol was approved by the Institutional Review Board at Advanced Clinical Trial Center of
Bestian Hospital (IRB No. 2022-02-003-004). We directly obtained voluntary informed consent for
participation in the research by explaining the research purpose and method. This study was supported by
supported by Small and Medium Hospital Nursing Association and Gyeonggi-do Nurses Association in
2022 (No. 202206-14).
Result
Characteristics of Participants
In total 36 of participants, each 18 of participants were enrolled in both isolation ward, and general
wards. The median of age in both groups did not show statistically significant difference (p=0.975).
Also, there is no statistical significance in proportion of education, and marital status position.
However, work experience of nurses in general wards significantly higher than those of nurse in
isolation ward (p<0.037). In addition, their median of extended work hours did not show significantly
difference (p=0.071) (Table 1).
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
Table 1. Demographic characteristics of participants
Variables
Participants
(N=36) P-value Isolation wards
(n=18)
general wards
(n=18)
Age, (median [Q1,Q3]) 28.5 [26.0,42.5] 29.0 [26.2,33.8] 0.975
Marital Status, (n, (%)) Married 5 (27.8) 3 (16.7) 0.691
Not married 13 (72.2) 15 (83.3)
Education, (n, (%)) Associated degree 6 (33.3) 1 (5.6) 0.088
Bachelor 12 (66.7) 17 (94.4)
Position, (n, (%)) Head nurse 2 (11.1) 0.346
Charge nurse 1 (5.6) 1 (5.6)
Nurse 15 (83.3) 17 (94.4)
Number of patients per nurse,
(n(nurse), (%))
Over 14 18 (100.0) 4 (22.2) <0.001
12 0 (0.0) 10 (55.6)
10 0 (0.0) 4 (22.2)
Work experience, (years,
median [Q1,Q3])
In current ward 9.0 [3.0,12.0] 34.5 [6.0,40.5] 0.037
Total work experience 60.0
[24.0,165.0]
60.0 [39.0,96.0] 0.874
Work type (n, (%))
Three shifts 18 (100.0) 16 (88.9) 0.486
Fixed night shift 0 (0.0) 2 (11.1)
Nursing delivery system (n,
(%))
Functional 18 (100.0) 0 (0.0) 4 hours 4 (22.2) 0 (0.0) 0.071
hours 14 (77.8) 17 (94.4)
None 0 (0.0) 1 (5.6)
Overall spent time for each nursing work category by shifts
Figure 1 showed the overall spent time for each nursing work category aggregated by shift. In all of
duties in each ward, recoding time was the largest proportion of working hours. On averaged
considering all shifts in all wards, 309.25 of minutes was spent to record ENRs by shift (SD: 53.9).
For general wards, the spent time to conduct medication and transfusion was the secondary largest
proportion, on the other hand, nurses in isolation ward spent time working on task classified as others.
On day shift in isolation wards, 188, and 124 of communication time was observed, which was larger
than that of evening shift (82.0, 71.0; respectively) and night shift (108.0, 69.0; respectively).
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
Figure 1. Overall spent time for each nursing work category aggregated by shift. For each shift, three nurses were staffed in
each ward. Therefore, the total amount of spent time for all work categories is 1440(8 hours * 60 minutes * 3 nurses).
Categories of nursing in working hours
Table 2 showed that the sum of the spent time by duties, which were staffed by three nurses, to
perform each nursing work category. The most time-consuming nursing working category in isolation
ward was recording, followed by others, breaktime, inspection management. On the other hand, in
general wards, they spent most of time to conduct medication and transfusion, followed by recording,
and other, breaktime, assessment. In addition, median of aggregated spent time by duties to perform
the other, hygiene management, and education showed significant difference (p<0.05, respectively,
Table 2).
Table 2. Comparison of work categories between isolation and general wards
Nursing work categories
(sum of minutes by duties, (median,
[Q1, Q3]))
Total duties
(N=12)
P-value
duties
in isolation wards
(n=6)
duties
in general wards
(n=6)
Recording 312.5 [280.0,326.2] 307.0 [272.2,345.5] 0.873
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
Others 308.0 [278.8,312.5] 160.0 [142.8,193.8] 0.004
Break time 145.0 [115.0,151.0] 100.5 [94.2,114.2] 0.337
Inspection management 112.5 [92.8,130.8] 80.0 [68.5,87.0] 0.055
General communications 95.0 [73.8,120.0] 72.0 [55.5,81.0] 0.078
Coordination with other health providers 90.0 [58.0,126.5] 51.0 [18.5,64.0] 0.078
Hygiene management 87.0 [41.2,127.5] 30.0 [20.2,40.5] 0.024
Medication and transfusion 64.5 [49.0,71.8] 314.0 [269.0,343.2] 0.004
Safety management 55.0 [36.8,62.0] 37.0 [32.0,51.0] 0.688
Emotional support 30.5 [9.8,44.5] 24.0 [20.8,31.0] 1.000
Assessment 30.5 [26.5,54.8] 93.0 [84.8,96.0] 0.078
Nursing for defecation on incontinence 24.0 [21.0,24.0] 31.0 [24.2,37.8] 0.518
Education 23.5 [10.5,29.0] 52.0 [44.0,63.0] 0.149
Nursing for rest 9.5 [3.5,17.8] 15.0 [7.2,25.0] 0.630
Examination and culture 8.5 [4.2,13.5] 3.5 [2.0,5.0] 0.147
Respiratory and pulmonary nursing care 4.5 [3.2,6.5] 7.5 [5.5,8.0] 0.257
Nursing for activity 3.5 [0.8,4.8] 24.0 [20.8,25.0] 0.004
Nursing for nutrition 1.5 [0.0,8.2] 4.0 [3.0,35.0] 0.286
We additionally analyzed the work categories in others in Figure 2. Comparison of subcategorized
nursing in “other” categories between isolation and general wards. Not significant was denoted by ns.
Statistical significance in difference in median for each value denotes was denoted by *, and **
(p<0.05, p<0.01). showed difference in median value of work hours for other categories work by
nurses in both wards. Two subcategories of works such as wearing PPE or medical equipment, and
other communication showed significant difference in median value of it (p<0.05, respectively, Figure
2).
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
Figure 2. Comparison of subcategorized nursing in “other” categories between isolation and general wards. Not
significant was denoted by ns. Statistical significance in difference in median for each value denotes was
denoted by *, and ** (p<0.05, p<0.01).
Directed and Undirected nursing in each wards
For isolation wards, and general wards, the average of 379.8, and 654 minutes for directed nursing care
by duties were observed respectively, Also, their average time for directed nursing care showed
significant difference in both groups (p<0.005) (Figure 3).
Figure 3. Overall directed and undirected nursing in each shift between isolation and general wards by duties
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
Discussion
Principal findings
As consumption of medical resources has been concentrated in healthcare workforce due to COVID-19
spread, strategies for optimal allocation of scarce medical resources have been demanded more than ever before.
Previous studies focused on gross measurements, for example, the number of beds in the emergency department,
the number of beds in a NPIW were mainly focused on [Emanuel, 2020]. However, to optimize medical
resource allocation, this study quantitatively assessed whether what kind of and how much nursing duties were
performed in NPIWs and GWs. Recently, the supply of medical resources should be distributed according to
nursing interventions, and the need of scientific evidence has gained much attention for adequate and fair
allocation. This basic research study on the scientific evidence observed nurses’ duties and workload in both
NPIWs dedicated to infectious disease and general respiratory wards and found out the difference in work hours
according to nursing duties between IWs and GWs.
Optimization of nurse allocation for isolation wards
For each shift in NPIWs, nurses took additional burden related to changes to PPE, and communication were
additional (Figure 1). The median value of time spent for these works was 308 minutes for three nurses,
approximately 1.92 times higher than that of GW. The time spent on this work category accounted for 20%
(308/1,440 minutes=3 nurses*8 hrs*60 mins) of all working hours, taking a large proportion in each shift of
three nurses (Table 2). This difference seems to be resulted from the more time spent on undirected care using
SNS and mobile phones for communication in NPIWs. Instead of direct observation for nursing assessment,
monitoring outcomes were self-reported by patients via text messages or phone calls. Moreover, the longer
duration of wearing PPE was identified as the difference in disease control and management methods in NPIWs
than in GWs (Figure 2).
In the comparison of the total time spent on directed and undirected nursing cares, fewer hours were spent on
directed care for patients admitted to NPIWs (Figure 3). The duration of directed nursing care was 379 minutes
per shift among NPIW nurses, spending 0.579 times lesser than 654 minutes per shift among GW nurses. The
difference in directed and undirected cares is thought to be attributable to the fact that undirected nursing care is
more needed for NPIW nurses in the following categories including wearing PPE, communication, moving, and
inspection management. When the same amount of directed care is required for the same patient, this difference
implies that 1.72 nurses, the inverse value from numerical calculation are needed to meet the requirement of
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
directed nursing care. Considering that the number of medical staffs has a negative correlation with patient’s
outcome, this should be taken into consideration in calculating nurse staffing when the same directed care is
needed [Xie, 2021]. To ensure the same amount of nursing care, a buffer in needed to preserve nurse staffing
calculated in the above [Yin, 2021].
To mitigate burden of nursing staff working for negative pressure isolation wards
During the COVID-19 pandemic, nursing workforce has been proven to be an indispensable resource in the
health system [Llop-Gironés, 2021]. The continuous spread of COVID-19 has aggravated inequalities between
demand and supply for nurses as nurses have experienced more burnout. Several studies commonly suggested
“the balance between patient and nurse needs satisfaction and exhaustion management” to help ease nurses’
burnout experience during the COVID-19 pandemic [Roe, 2022]. In particular, excessive work duties and
wearing nearly 3kg-protective equipment were identified to be related to increased fatigue [Liu Q, 2020;
Iheduru-Anderson, 2021]. In line with the results of a preliminary study, the findings of this study also
demonstrated that PPE, communication and others had a significant impact on nursing workload.
First, needs for nursing care can be satisfied by reducing the amount of nursing care or increasing the supply
of nursing workforce. Although the public healthcare sector has exerted a range of efforts to decrease the high
demand of nursing care with multiple preventive strategies, more studies and policies are warranted to increase
the supply of nursing staff. However, to the best of our knowledge, no studies have not yet quantitatively
assessed nurse staffing by ward. This review observed that there was a difference in the amount of duties
performed by nurses according to their work shifts (Figure 1). In particular, time spent on intervention and
communication among healthcare providers increased during the day shift in NPIW. This outcome is anticipated
to be resulted from frequent physician rounds in the day duty, and major nursing duty schedules are mostly done
during the day time. For nurses specialized in these kinds of tasks, undirected nursing care can be shifted to
direct nursing care. Moreover, additional studies are warranted to further investigate time spent for wearing PPE,
two-way communication devices and others.
Second, moving line optimization, development of highly usable PPE and others can be taken into
consideration in fatigue management for nurses. As effective measures to reduce fatigue for nurses, moving line
optimization is a critical factor in the increase of directed nursing care. Unlike in general wards, the
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
environmental structure of passing through entry and exit doors twice for assess to isolation rooms, in particular,
seems to increase undirected nursing care time. To design NPIWs more efficiently, the mandatory installation of
clean rooms [Cho and Seong, 2018] and pass boxes [National Medical Center, 2021] is expected to contribute to
reducing undirected nursing care time. Placement of the pass box equipped with an ultraviolet sterilizing device
between the nurse station and hallway of the NPIW is thought to reduce undirected time spent for PPE wearing
in the absence of nursing and inspection supplies missing in two-way communication. The common physical
problems associated with using PPE kits were excessive sweating (100%), fogging of goggles, spectacles, or
face shields (88%), suffocation (83%), breathlessness (61%), fatigue (75%), headache due to prolonged use
(28%), and pressure marks on the skin at one or more areas on repeated use (19%) [Agarwal, 2020] These
problems need to be further clarified by performing additional studies. Moreover, as shown in the study findings,
considering the time required taking about 20% of the total working hours as a barrier to the use of PPE,
reduced duration of wearing PPE and light weight of PPE kits will be helpful in considerably reducing burden
toward directed nursing care for long periods of time. Barriers to using PPE reported were inappropriate PPE
size, design of PPE and complexity of use, doubts related to the quality and effectiveness of PPE, potential risks
during doffing, and others [Fan, 2020]. The use of sterile gloves and disposable shoe covers in medical practices
needs to be included in the future studies. Overcoming the above barriers is forecasted to help manage fatigue in
nurses.
More investigations are crucial to standardize guidelines based on the time spent on nursing interventions to
improve care quality associated with reduced missing rate of interventions and calculate nurse staffing in acute
infectious disease control. A systematic study is warranted to further elucidate the association between
consideration on effective environmental structure and reduction of the total spent time by duties.
Limitations
This study was limited in certain aspects. First, the research findings on hospitals voluntarily participated in
this survey have limitations to be generalized to represent all COVID-19 hub hospitals and general hospitals.
However, this study was meaningful in that it contributed to ensuring reliability with an effort to demonstrate
simulation prior to the main observational survey considering the work environment of COVID-19 NPIW and
selection of nursing intervention boundaries of nursing practice with the development of a directed and
undirected nursing recording form. Second, 24-hour observation of three co-investigators unrelated to
vulnerable research participants of this study appears to help overcome research bias. The findings of this study
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
are meaningful in that it intended to define the scope and boundaries of NPIW nursing intervention in clinical
practices and to assess nurse staffing for reduction of missing rate of interventions in acute infectious disease
control.
Conclusion
This study provides the evidence that the differences in nursing work pattern between NPIWs and GWs, and
nurses in NPIWs spent more time on undirected care. To ensure the equal level of nursing care in NPIWs with
GW, a extra nurse workforce may be needed. In addition, efforts to reduce the burden on nursing personnel
working at NPIW should be considered.
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
References
Seong-Min Cho and Seong Min-Ki. (2018). Infection control in hospitals: Air leakage due to entry and exit of
negative pressure isolation rooms. Air Cleaning Technology, 41-52.
National Health Insurance Service. (2016). Standard operating guidelines for integrated nursing care service.
Gangwon: National Health Insurance Corporation.
Nahyun Kim. (2021). 80% support for the installation cost of negative pressure and isolation beds in emergency
medical institutions. Medical Observer. http://www.monews.co.kr/news/articleView.html?idxno=300601
Minji Kim, Donghyun Lee. (2021). Medical Resource Management for COVID-19 Pandemic Response: A
Comparative Institutional Review of Korean and Japanese Cases. Health and Social Research 41(2), 027-043.
Hospital Nursing Society. A Study on the Reliability and V alidity V erification and Nursing Time Conversion
Index Calculation of Korean Patient Classification Tool (KPCS-1). 2009
Ministry of Health and Welfare. (2022). medical law. National Law Information Center.
https://www.law.go.kr/LSW/lsInfoP.do?lsiSeq=106850#0000
Ministry of Health and Welfare, National Health Insurance. (2016). Standard operating guidelines for integrated
nursing care service. Ministry of Health and Welfare, National Health Insurance Corporation, 1-228.
Hyunchul Cho, Changhee Kang, Taejeong Kim, and Y oungseok Park. (2021). A case of construction project
management (CM) for the rapid construction of a negative pressure ward using the OSC method. Construction
Engineering and Management, 22(1), 36-42.
http://medicalworldnews.co.kr/bbs/board.php?bo_table=pds&wr_id=3360&page=0&sca=&sfl=&stx=&sst=&so
d=&spt=0&page=0
Center for Disease Control. (2011). SARS, avian influenza human infection, inpatient treatment (isolation) bed
operation and management (plan) for new influenza, Korea Centers for Disease Control and Prevention.
Statistical Office. (2022). Corona 19 national situation board. https://kosis.kr/covid/covid_index.do
KOSIS National Statistical Portal. (2022). Domestic Statistics: Status of health care institutions by type of
establishment. Statistical Office.
https://kosis.kr/statisticsList/statisticsListIndex.do?menuId=M_01_01&vwcd=MT_ZTITLE&parmTabId=M_01
_01&outLink=Y&entrType=#content-group)
Korea Institute of Health and Medical Policy. (2021). COVID-19 Disaster Response Situation Workshop for
Disaster Education by Nursing Professors: Government Organizations and Community Responses to COVID-19.
Korea Institute of Health and Medical Policy. 1144.Agarwal A, Agarwal S, Motiani P. Difficulties Encountered
While Using PPE Kits and How to Overcome Them: An Indian Perspective. Cureus. 2020 Nov
23;12(11):e11652. doi: 10.7759/cureus.11652. PMID: 33251079; PMCID: PMC7686919.
American Society of Mechanical Engineers. (2004). ASME AG-1a–2004, "Addenda to ASME AG-1–2003 Code
on Nuclear Air and Gas Treatment".
http://medicalworldnews.co.kr/m/view.php?idx=1486120840
Birt L, Scott S, Cavers D, & Campbell C. (2016). Member Checking: A Tool to Enhance Trustworthiness or
Merely a Nod to V alidation?. Qualitative Health Research, 26(13), 1802–1811.
Bunyavanich, S., Do, A., & Vicencio, A. (2020). Nasal gene expression of angiotensin converting enzyme 2 in
children and adults. JAMA. 323(23):2427-2429. doi:10.1001/jama.2020.8707
Cho, I. S., Choi, W. J., Choi, W. H., Hyun, M. S., Park, Y , O., & Lee, Y. N, et al. (2015). Identifying usability
level and factors affecting electronic nursing record systems: A multi-institutional time-motion approach.
Journal of Korean Academic Nurses. 45(4), 523-532.
Eom, J. S. (2018). Facilities and construction in hospitals for infection control. Journal of the Korean Medical
Association. 61(1):36-42. https://doi.org/10.5124/jkma.2018.61.1.36
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
Emanuel EJ, Persad G, Upshur R, Thome B, Parker M, Glickman A, Zhang C, Boyle C, Smith M, Phillips JP.
Fair Allocation of Scarce Medical Resources in the Time of Covid-19. N Engl J Med. 2020 May
21;382(21):2049-2055. doi: 10.1056/NEJMsb2005114.
Hennink M, Hutter I, Bailey A. Qualitative research methods. London: SAGE publications Ltd; 2011.p. 8-26.
Lopetegui M, Y en PY , Lai A, Jeffries J, Embi P, Payne P. Time motion studies in healthcare: what are we talking
about? J Biomed Inform. 2014 Jun;49:292-9. doi: 10.1016/j.jbi.2014.02.017.
Kackin O, Ciydem E, Aci OS, Kutlu FY . Experiences and psychosocial problems of nurses caring for patients
diagnosed with COVID-19 in Turkey: A qualitative study. International Journal of Social Psychiatry.
2021;67(2):158-167. https://doi.org/10.1177/0020764020942788
Kalisch BJ, Tschannen D, Lee HH, Friese CR. (2011). Hospital variation in missed nursing care. American
Journal of Medical Quality, 26(4), 291-299.
Kim HY . Statistical notes for clinical researchers: Chi-squared test and Fisher's exact test. Restor Dent Endod.
2017 May;42(2):152-155. doi: 10.5395/rde.2017.42.2.152.
Kim, M. Y et al., (2020). Weekly report on the COVID-19 situation in the Republic of Korea (As of March 28,
2020). Public Health Weekly Report, 13(14), 792-806.
National Medical Center. (2021 ). Emergency medical institution isolation bed installation cost support project
guide. The Korean Society of Emergency Medicine. https://www.emergency.or.kr/bbs/general-notice/1095
Oh IO, Yoon SJ, Nam KA. Working Experience of Nurses at a COVID-19 Dedicated Hospital. The Journal of
Korean Academic Society of Adult Nursing. 2021;33(6):657-669. https://doi.org/10.7475/kjan.2021.33.6.657
Park, S. E. (2020). Epidemiology, Virology, and Clinical Features of Severe Acute Respiratory Syndrome
Coronavirus 2 (SARS-CoV-2; Coronavirus Disease-19). Pediatr Infect V accine. 27(1):1-10.
https://doi.org/10.14776/piv.2020.27.e9
Ren Hong-fei, Chen Feng-jiao, He Ling-xiao, Liu Chang-qing, Liu Ying-ying, Huang Y u-jia, Han Hui, Fu Su,
Zhang Ming-guang, and Jiang Yan. (2022). Nursing allocation in isolation wards of COVID-19 designated
hospitals: a nationwide study in China. BioMed Central Nursing, 21, 23. doi: 10.1186/s12912-021-00795-w
Sachs, Schmidt-Traub, Kroll, Lafortune, Fuller & Woelm. (2020). Sustainable Development Report 2020.
Song KJ, Kim EH, Yoo CS, Park HA, Song MS, Park KO. V erification of Reliability and V alidity of KPCS-1
and Estimation of Nursing Time Conversion Index. Journal of Korean Clinical Nursing Research.
2010;16(2):127-140.
Taylor FW. The principles of scientific management. Ney York and London: Harper & Brothers Publishers; 1914
Tom J Pollard, Alistair E W Johnson, Jesse D Raffa, Roger G Mark, tableone: An open source Python package
for producing summary statistics for research papers, JAMIA Open, V olume 1, Issue 1, July 2018, Pages 26–
31, https://doi.org/10.1093/jamiaopen/ooy012
World Medical Association. World medical association declaration of Helsinki; Ethical principles for medical
research involving human subjects. JAMA. 2013;310(20):2191-2194.https://doi.org/10.1001/jama.2013.281053
World Health Organization. (2003). Acute Respiratory Syndrome (SARS): status of the outbreak and lessions
for the immediate future. Google Scholar
World Health Organization. (2020. November, 15). Coronavirus disease (COVID-19) pandemic. Retrived from
https://www.who.int/emergencies/diseases/novel-coronavirus-2019
W o rl d H ealt h O rg an i za ti o n. R egi o n a l O ffi ce f o r t h e W e s t er n P a cifi c . ( 2 0 04) . Practical guidelines for infection
control in health care facilities. WHO Regional Office for the Western
Pacific. https://apps.who.int/iris/handle/10665/206946
X. Yu, Modern Air Microbiology (People’s Military Medical Press, Beijing, 2002)
Yi JS & Kim JH. (2021). Estimating Unmet Demand for Integrated Nursing and Care Service and Its
Corresponding Beds: Directions for Nursing Policy to Improve Health Equity. Journal of Korean Academy of
Nursing Administration, 27(5), 443-454.
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
Xie, L., Yang, H., Zheng, X., Wu, Y ., Lin, X., & Shen, Z. (2021). Medical resources and coronavirus disease
(COVID-19) mortality rate: Evidence and implications from Hubei province in China. PLoS One , 16(1),
e0244867.
Yin, G., Song, H., Wang, J., Nicholas, S., & Maitland, E. (2021, October). The COVID-19 run on medical
resources in Wuhan China: causes, consequences and lessons. In Healthcare (V ol. 9, No. 10, p. 1362). MDPI.
Llop-Gironés, A., Vrač ar, A., Llop-Gironés, G. et al. Employment and working conditions of nurses: where and
how health inequalities have increased during the COVID-19 pandemic?. Hum Resour Health 19, 112 (2021).
https://doi.org/10.1186/s12960-021-00651-7
Roe E, Decker S, Marks K, Cook J, Garno K, Newton J, Thrush R. Nurse experience during the COVID-19
pandemic: Implications for nurse leaders. Nurs Manage. 2022 May 1;53(5):8-17. doi:
10.1097/01.NUMA.0000829268.46685.bb.
Liu Q, Luo D, Haase JE, et al. The experiences of health-care providers during the COVID-19 crisis in China: a
qualitative study. Lancet Glob Health. 2020;8(6):e790–798
Iheduru-Anderson K. Reflections on the lived experience of working with limited personal protective equipment
during the COVID-19 crisis. Nurs Inq. 2021;28(1):e12382.
Fan, Jing MDa; Jiang, Ying MDb; Hu, Kaihui BSa; Chen, Xiao BSa; Xu, Qian BSa; Qi, Y ujiao BSa; Yin, Hubin
PhDa; Gou, Xin MDa; Liang, Simin MDa,∗ . Barriers to using personal protective equipment by healthcare staff
during the COVID-19 outbreak in China. Medicine: November 25, 2020 - V olume 99 - Issue 48 - p e23310 doi:
10.1097/MD.0000000000023310
Abbreviation
COVID -19 : C o r o nav irus D iseas e 2019
GW : G e nera l W ards
IRB : Ins t it u t ional R e v iew Board
NP IW : Nega tive P ressure I s ola t io n Wa rd s
SD : St a ndar d Dev iatio n
. CC-BY-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprint this version posted January 7, 2023. ; https://doi.org/10.1101/2023.01.06.23284223doi: medRxiv preprint
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.