Striving for equity: exploring gender-inclusive medical leadership in India.

INTRODUCTION: There is a notable gap in studies examining the impact of gender within sociocultural norms in non-western professional settings, especially concerning the well-being of women physicians. METHODS: Using purposive sampling and thematic data analysis, we recorded interviews with 30 physicians in India during May-July 2023. Participants were aged 34 to 65 years, with experience ranging from five to 35 years, in various clinical (37%), surgical (30%), paraclinical (23%) and hospital administration (10%) roles, 97% were postgraduates and 53% were women. The research questions explored how leadership roles happened, managing key challenges, barriers and enablers, and practical interventions to support women into medical leadership positions. RESULTS: Findings revealed that the majority of interviewees believed gender-related barriers were obstructing women's progress and success in medical leadership roles in India. These barriers were identified within three overarching domains: (1) specialty, (2) organisational and (3) sociocultural. Interviewees commonly acknowledged the male-dominated landscape of medical leadership although some women stated that they did not perceive any barriers for women's advancement into leadership roles. Interestingly, some men surgeons held the perception that women might not be as effective in certain surgical disciplines, such as orthopaedics and neurosurgery. Some men physicians, however, considered women physicians in India to be highly effective multitaskers. CONCLUSION: We recommend structural reforms in medical education, leadership development, workplace systems and cultures, and improved implementation of equality, diversity and inclusion policies in the Indian context.

Impact of Life Cycle Costing in Procurement of Robotic Track-Based Central Laboratory at Apex Medical Institute in India.

Introduction Life cycle costing is an important management tool that takes into account the implications of planning, acquiring, operating, maintaining, and disposing of an asset during its complete life cycle. A major hindrance to the procurement of expensive equipment in developing countries is the lack of a reliable framework combining and integrating all the equipment life cycle aspects into procurement process. Methods The study was conducted from the data collected from the bids that were received for procurement of two robotic track-based central laboratories which were installed at All India Institute of Medical Sciences (AIIMS), New Delhi. The procurement was done as per the guidelines laid down under General Finance Rules (GFR) 2017 following the two bid systems: technical bid and price/commercial bid. Results A complete financial analysis of the robotic laboratory was done that involved gathering of all the pertinent financial information into one place and then using that data to analyze the feasibility of the bid. The life cycle costs of both the labs were calculated by assuming the life of equipment as 10 years and by factoring in cost of equipment including 5-year warranty, comprehensive maintenance from years 6 to 10, indicative cost of all reagents for 10 years, and indicative cost of all other consumables for 10 years. Conclusion Results showed that the cost of equipment alone should not be the sole predictor of making purchase decisions of equipment. Further research may additionally explore differences between processes being followed in government versus private organizations, as well as national guidelines and subnational practices.

Predictors of Mortality among Patients Hospitalized with COVID-19 during the First Wave in India: A Multisite Case-Control Study.

Severe acute respiratory syndrome coronavirus 2 disease (COVID-19) has caused more than 6 million deaths globally. Understanding predictors of mortality will help in prioritizing patient care and preventive approaches. This was a multicentric, unmatched, hospital-based case-control study conducted in nine teaching hospitals in India. Cases were microbiologically confirmed COVID-19 patients who died in the hospital during the period of study and controls were microbiologically confirmed COVID-19 patients who were discharged from the same hospital after recovery. Cases were recruited sequentially from March 2020 until December-March 2021. All information regarding cases and controls was extracted retrospectively from the medical records of patients by trained physicians. Univariable and multivariable logistic regression was done to assess the association between various predictor variables and deaths due to COVID-19. A total of 2,431 patients (1,137 cases and 1,294 controls) were included in the study. The mean age of patients was 52.8 years (SD: 16.5 years), and 32.1% were females. Breathlessness was the most common symptom at the time of admission (53.2%). Increasing age (adjusted odds ratio [aOR]: 46-59 years, 3.4 [95% CI: 1.5-7.7]; 60-74 years, 4.1 [95% CI: 1.7-9.5]; and ≥ 75 years, 11.0 [95% CI: 4.0-30.6]); preexisting diabetes mellitus (aOR: 1.9 [95% CI: 1.2-2.9]); malignancy (aOR: 3.1 [95% CI: 1.3-7.8]); pulmonary tuberculosis (aOR: 3.3 [95% CI: 1.2-8.8]); breathlessness at the time of admission (aOR: 2.2 [95% CI: 1.4-3.5]); high quick Sequential Organ Failure Assessment score at the time of admission (aOR: 5.6 [95% CI: 2.7-11.4]); and oxygen saturation < 94% at the time of admission (aOR: 2.5 [95% CI: 1.6-3.9]) were associated with mortality due to COVID-19. These results can be used to prioritize patients who are at increased risk of death and to rationalize therapy to reduce mortality due to COVID-19.

BESFA: bioinformatics based evolutionary, structural & functional analysis of prostrate, Placenta, Ovary, Testis, and Embryo (POTE) paralogs.

The POTE family comprises 14 paralogues and is primarily expressed in Prostrate, Placenta, Ovary, Testis, Embryo (POTE), and cancerous cells. The prospective function of the POTE protein family under physiological conditions is less understood. We systematically analyzed their cellular localization and molecular docking analysis to elucidate POTE proteins' structure, function, and Adaptive Divergence. Our results suggest that group three POTE paralogs (POTEE, POTEF, POTEI, POTEJ, and POTEKP (a pseudogene)) exhibits significant variation among other members could be because of their Adaptive Divergence. Furthermore, our molecular docking studies on POTE protein revealed the highest binding affinity with NCI-approved anticancer compounds. Additionally, POTEE, POTEF, POTEI, and POTEJ were subject to an explicit molecular dynamic simulation for 50ns. MM-GBSA and other essential electrostatics were calculated that showcased that only POTEE and POTEF have absolute binding affinities with minimum energy exploitation. Thus, this study's outcomes are expected to drive cancer research to successful utilization of POTE genes family as a new biomarker, which could pave the way for the discovery of new therapies.

Predicting Timelines in Healthcare Infrastructure Projects: Learnings From an Apex Tertiary Care Teaching Hospital in North India.

Aim Healthcare infrastructure projects are a requirement for the progress of the country. The aim of this study was to identify major completed healthcare infrastructure projects in a tertiary teaching hospital in Northern India and to find out the various factors that influenced the success or failures and the cost and time overrun during the project implementation. Materials and methods Periodical review meetings were conducted, right from the planning to the execution and commissioning of these projects. All these had been documented as minutes of the meetings, and the records of the same had been maintained. The study comprised of studying all these documents in detail and finding an answer to the research questions. Results Four major completed projects of a tertiary medical institute of India, All India Institute of Medical Sciences (AIIMS), New Delhi, India, were studied. These were the new Outpatient Department (OPD) Block, Burns and Plastic Surgery Block (BPS), Maternal and Child Health Block (MCH), and National Cancer Institute (NCI). Our study revealed that there was no dearth of funds, and hence, there was no cost overrun in any of the projects. Whenever the funds had to be reworked, the funds that were asked for were released. However, there was a considerable time overrun in all the projects ranging from about one to four years. The various reasons that could be attributed to this are the delay in obtaining statutory clearances, political interference, communication hurdles, improper planning, introducing a project officer late into the project, safety concerns, and the COVID-19 pandemic. Conclusions This study focuses mainly on the very important hurdles that were faced during the implementation of the projects and tries to suggest an average time frame for various activities for project implementation in a healthcare project in the Indian scenario. This can be taken as blueprints while planning newer healthcare projects of this magnitude.

Study to assess the utility of discrete event simulation software in projection & optimization of resources in the out-patient department at an apex cancer institute in India.

Background and Aims: A study was done to create and run a discrete event simulation in the outpatient department (OPD) of a tertiary care cancer hospital in North India to project and optimize resource deployment. Methods: The OPD process & workflow as per the expected load at tertiary care cancer hospital were finalized with various stakeholders in a focused group discussion. The finalized OPD process & workflow along with the OPD Building plans were utilized to develop a discrete event simulation model for the OPD at a tertiary care cancer hospital using a discrete event simulator. The simulation model thus developed was tested with incremental patient loads in 5 different scenarios/"What if" situations (Scenario 1-5). The data regarding initial patient load and resources deployed was taken from on-ground observations at the tertiary care cancer hospital. Results: It was found that rooms and doctors were over-utilized and support staff utilization remained low. This was implemented with a lesser waiting time for patients. No additional support staff was provided thus improving utilization of existing staff and saving on resources. The simulations enabled us to deploy resources just when it was required, which ensured optimal utilization and better efficiency. The peak census helped us to determine the capacity of the waiting area in different scenarios with incremental patient load and resource deployment. Conclusion: The simulation software was very helpful, as "what if scenarios" could be created and the system tested, without disturbing the normal functioning of OPD. This enabled decision-making before making on-ground changes which saved a lot of time and money. Also, the processes of the old system were reengineered to fit the needs of changing times.

Strengthening leadership capacity: an unaddressed issue in Indian healthcare system.

PURPOSE: Leadership skills are vital for efficient delivery of health reforms. India, a low- and middle-income country, is transforming its public health care significantly. The health workforce, particularly doctors, however lacks leadership skills. This study aims to highlight the leadership skills gap and raise concerns about how India might achieve its ambitious health reforms in the lack of formal, prospective leadership training for its workforce. DESIGN/METHODOLOGY/APPROACH: This study conducted nine management development programmes between 2012 and 2020 and collected data from 416 (N = 444, 94% response rate) health-care professionals using a questionnaire. Participants were asked to inform leadership challenges that they perceived critical. A total of 47 unique challenges were identified, which were distributed across five domains of American College of Healthcare Executives Competency Assessment Tool (2020). Relevant information was also obtained from review of secondary sources including journal articles from scientific and grey literature and government websites. FINDINGS: Majority of participants (85.36%) had never attended any management training and were from public sector (56.1%). Mean total experience was 18 years. Top 5 challenges were lack of motivation (54.26%), communication (52.38%), contracts management (48.31%), leadership skills (47.26%) and retention of workforce (45.56%). Maximum challenges (29) were in domain of business skills and knowledge, followed by knowledge of health-care environment (9), leadership, professionalism, and communication and relationship management (3 each). ORIGINALITY/VALUE: In absence of the leadership training, senior health professionals particularly doctors in India, suffer leadership challenges. Efforts should be made to strengthen leadership capacity in Indian health-care system to advance the country's ongoing national health reforms.

Patient Satisfaction Scale for Hospitalized COVID-19 Patients: Development and Psychometric Properties.

Objective: Patients' appraisal of health care delivery system and services during COVID-19 could be an important yardstick for hospital administration and policy makers. The study attempted to develop and test the psychometric properties of a new patient satisfaction scale for COVID-19 patients. Methods: A total of 446 COVID-19-hospitalized COVID-19 patients in a tertiary care designated COVID-19 care hospital constituted the sample. Factor structure of scale was obtained using exploratory factor analysis (EFA). Internal consistency, split-half reliability, and validity (e.g., content, convergent, and divergent) were also evaluated. Results: Item reduction resulted in a 21-item scale consisting of three factors, namely COVID-19-focused treatment facility, COVID-19-appropriate hospital facility, and COVID-19-specific daily needs service facility. It demonstrated excellent internal consistency and reliability (Cronbach's alpha [α]: 0.93; Split-half reliability: 0.90), excellent content validity, and adequate convergent and divergent validity. The scale had no floor effects. Inter-index correlations were significant. To our knowledge: this scale is the first such psychometrically robust self-rated scale for patients' perception about hospital services during COVID-19. Available in both Hindi and English languages, the scale provides a quick measure of patient experience regarding CCOVID-19-specific hospital services.

Clinical features, demography, and predictors of outcomes of SARS-CoV-2 infection at a tertiary care hospital in India: A cohort study.

BACKGROUND: The "second wave" of the COVID-19 pandemic hit India from early April 2021 to June 2021. We describe the clinical features, treatment trends, and baseline laboratory parameters of a cohort of patients with SARS-CoV-2 infection and their association with the outcome. METHODS: This was a retrospective cohort study. Multivariate logistic regression models were fitted to identify clinical and biochemical predictors of developing hypoxia, deterioration during the hospital stay, and death. RESULTS: A total of 2080 patients were included. The case fatality rate was 19.5%. Among the survivors, the median duration of hospital stay was 8 (5-11) days. Out of 853 (42.3%%) of patients who had COVID-19 acute respiratory distress syndrome at presentation, 340 (39.9%) died. Patients aged >45 years had higher odds of death as compared to the 18-44 years age group. Vaccination reduced the odds of death by 40% (odds ratio [OR] [95% confidence interval [CI]]: 0.6 [0.4-0.9], P = 0.032). Patients with hyper inflammation at baseline as suggested by leukocytosis (OR [95% CI]: 2.1 [1.5-3.1], P < 0.001), raised d-dimer >500 mg/dL (OR [95% CI]: 3.2 [2.2-4.7], P < 0.001), and raised C-reactive peptide >0.5 mg/L (OR [95% CI]: 3.7 [2.2-13], P = 0.037) had higher odds of death. Patients who were admitted in the 2nd week had lower odds and those admitted in the 3rd week had higher odds of death. CONCLUSION: This study shows that vaccination status and early admission during the inflammatory phase can change the course of illness of these patients. Improving vaccination rates and early admission of patients with moderate and severe COVID-19 can improve the outcomes.

The Holy grail of healthcare analytics: what it takes to get there?

BACKGROUND: Indian healthcare is rapidly growing and needs efficiency more than ever, which can be achieved by leveraging healthcare analytics. National Digital Health Mission has set the stage for digital health and getting the right direction from the very beginning is important. The current study was, therefore, undertaken to find what it takes for an apex tertiary care teaching hospital to leverage healthcare analytics. AIM: To study the existing Hospital Information System (HIS) at AIIMS, New Delhi and assess the preparedness to leverage healthcare analytics. METHODOLOGY: A three-pronged approach was used. First, concurrent review and detailed mapping of all running applications was done based on nine parameters by a multidisciplinary team of experts. Second, capability of the current HIS to measure specific management related KPIs was evaluated. Third, user perspective was obtained from 750 participants from all cadres of healthcare workers, using a validated questionnaire based on Delone and McLean model. RESULTS: Interoperability issues between applications running within the same institute, impaired informational continuity with limited device interface and automation were found on concurrent review. HIS was capturing data to measure only 9 out of 33 management KPIs. User perspective on information quality was very poor which was found to be due to poor system quality of HIS, though some functions were reportedly well supported by the HIS. CONCLUSION: It is important for hospitals to first evaluate and strengthen their data generation systems/HIS. The three-pronged approach used in this study provides a template for other hospitals.

The Effectiveness of SARS-CoV-2 Vaccination in Preventing Severe Illness and Death - Real-world Data from a Cohort of Patients Hospitalized with COVID-19.

Background: While long-term studies on the correlates of protection, vaccine effectiveness, and enhanced surveillance are awaited for SARS-CoV-2 vaccine, studies on breakthrough infections help understand the nature and course of this illness among vaccinated individuals and guide in public health preparedness. This study aims to compare the differences in the hospitalization outcomes SARS-CoV-2 infection of fully vaccinated individuals with with those of unvaccinated and partially vaccinated individuals. Materials and Methods: Single institution observational cohort study. This study compared the differences in clinical, biochemical parameters and the hospitalization outcomes of 53 fully vaccinated individuals with those of unvaccinated (1464) and partially vaccinated (231) individuals, among a cohort of 2,080 individuals hospitalized with SARS-CoV-2 infection. Descriptive statistics and propensity-score weighted multivariate logistic regression analysis adjusting for clinical and laboratory parameters were used to compare the differences and to identify factors associated with outcomes. Results: Completing the course of vaccination protected individuals from developing severe COVID-19 as evidenced by lower proportions of those with hypoxia, abnormal levels of inflammatory markers, requiring ventilatory support, and death compared to unvaccinated and partially vaccinated individuals. There were no differences in these outcomes among patients who received either vaccine type approved in India. Conclusions: Efforts should be made to improve the vaccination rates as a timely measure to prepare for the upcoming waves of this highly transmissible pandemic. Vaccination rates of the communities may also guide in the planning of the health needs and appropriate use of medical resources.

More from less: Study on increasing throughput of COVID-19 screening and testing facility at an apex tertiary care hospital in New Delhi using discrete-event simulation software.

BACKGROUND: One of the challenges has been coping with an increasing need for COVID-19 testing. A COVID-19 screening and testing facility was created. There was a need for increasing throughput of the facility within the existing space and limited resources. Discrete event simulation was used to address this challenge. METHODOLOGY: A cross-sectional interventional study was done from September 2020 to October 2020. Detailed process mapping with all micro-processes was done. Patient arrival patterns and time taken at each step were measured by two independent observers at random intervals over two weeks. The existing system was simulated and a bottleneck was identified. Two possible alternatives to the problem were simulated and evaluated. RESULTS: Scenario 1 showed a maximum throughput of 316. The average milestone times of all the processes after the step of "Preparation of sampling kits" jumped 62%; from 82 to 133 min. Staff state times also showed that staff at this step was stretched and medical lab technicians were underutilized. Scenario 2 simulated the alternative with lesser time spent on sampling kit preparation with a 22.4% increase in throughput, but could have led to impaired quality check. Scenario 3 simulated with increased manpower at the stage of bottleneck with 26.5% increase in throughput and was implemented on-ground. CONCLUSION: Discrete event simulation helped to identify the bottleneck, simulate possible alternative solutions without disturbing the ongoing work, and finally choose the most suitable intervention to increase throughput, without the need for additional space allocation. It therefore helped to optimally utilize resources and get "more from less."

National guidelines for sanitation services: Addressing the unmet need of standardizing cleaning practices in tertiary care public health facilities of a developing country.

BACKGROUND: Cleanliness is one of the main reasons for poor satisfaction among the patients and their attendants visiting healthcare facilities. OBJECTIVE: To elevate and transform the sanitation in public sector facilities, a committee was constituted by Ministry of Health and Family Welfare, Government of India to study the existing system of Housekeeping in Central Government Hospitals and draft the Guidelines for house-keeping services, since no such literature is available in context of the healthcare facilities in India. METHODS: The committee ascertained the housekeeping services in three tertiary care hospitals of Central Government and simultaneously conducted the literature review of the best practices in hospital sanitation and housekeeping. RESULTS: Formulated national guidelines focus on various aspects of sanitation services in health facilities, i.e., hospital infrastructure; organization of sanitation services; human resource requirements; qualification, experience and training needs of sanitation staff; roles and responsibilities of different personnel; risk categorization of hospital areas; mechanized cleaning; cleaning agents; cleaning standards and standard operating procedures; effective supervision and monitoring; procurement of these services, etc. CONCLUSION: Formulated guidelines can be adopted by developing countries aiming for standardizing cleaning practices in public health facilities.

Low-dose radiation therapy for COVID-19 pneumonia: a pilot study.

OBJECTIVES: The World Health Organization (WHO) has declared coronavirus disease 2019 (COVID-19) as pandemic in March 2020. Currently there is no specific effective treatment for COVID-19. The major cause of death in COVID-19 is severe pneumonia leading to respiratory failure. Radiation in low doses (<100 cGy) has been known for its anti-inflammatory effect and therefore, low dose radiation therapy (LDRT) to lungs can potentially mitigate the severity of pneumonia and reduce mortality. We conducted a pilot trial to study the feasibility and clinical efficacy of LDRT to lungs in the management of patients with COVID-19. METHODS: From June to Aug 2020, we enrolled 10 patients with COVID-19 having moderate to severe risk disease [National Early Warning Score (NEWS) of ≥5]. Patients were treated as per the standard COVID-19 management guidelines along with LDRT to both lungs with a dose of 70cGy in single fraction. Response assessment was done based on the clinical parameters using the NEWS. RESULTS: All patients completed the prescribed treatment. Nine patients had complete clinical recovery mostly within a period ranging from 3 to 7 days. One patient, who was a known hypertensive, showed clinical deterioration and died 24 days after LDRT. No patients showed the signs of acute radiation toxicity. CONCLUSION: The results of our pilot study suggest that LDRT is feasible in COVID-19 patients having moderate to severe disease. Its clinical efficacy may be tested by conducting randomized controlled trials. ADVANCES IN KNOWLEDGE: LDRT has shown promising results in COVID-19 pneumonia and should be researched further through randomized controlled trials.

Single-dose oral ivermectin in mild and moderate COVID-19 (RIVET-COV): A single-centre randomized, placebo-controlled trial.

INTRODUCTION: Ivermectin is an antiparasitic drug which has in-vitro efficacy in reducing severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) viral load. Hence, Ivermectin is under investigation as a repurposed agent for treating COVID-19. METHODS: In this pilot, double blind, randomized controlled trial, hospitalized patients with mild-to-moderate COVID-19 were assigned to a single oral administration of an elixir formulation of Ivermectin at either 24 mg or 12 mg dose, or placebo in a 1:1:1 ratio. The co-primary outcomes were conversion of RT-PCR to negative result and the decline of viral load at day 5 of enrolment. Safety outcomes included total and serious adverse events. The primary outcomes were assessed in patients who had positive RT-PCR at enrolment (modified intention-to-treat population). Safety outcomes were assessed in all patients who received the intervention (intention-to-treat population). RESULTS: Among the 157 patients randomized, 125 were included in modified intention-to-treat analysis. 40 patients each were assigned to Ivermectin 24 mg and 12 mg, and 45 patients to placebo. The RT-PCR negativity at day 5 was higher in the two Ivermectin arms but failed to attain statistical significance (Ivermectin 24 mg, 47.5%; 12 mg arm, 35.0%; and placebo arm, 31.1%; p-value = 0.30). The decline of viral load at day 5 was similar in each arm. No serious adverse events occurred. CONCLUSIONS: In patients with mild and moderate COVID-19, a single oral administration of Ivermectin did not significantly increase either the negativity of RT-PCR or decline in viral load at day 5 of enrolment compared with placebo.

Seroprevalence of antibodies to SARS-CoV-2 in healthcare workers & implications of infection control practice in India.

Background & objectives: Healthcare workers (HCWs) are considered to be at a high risk of contracting COVID-19 infection. Besides, control of nosocomial infections transmitted from HCWs to the patients is also a cause of concern. This study was undertaken to investigate the seroprevalence of antibodies against the SARS-CoV-2 virus among the hospital staff of a tertiary care health facility in north India. Methods: The HCWs were tested for SARS-CoV-2 serology (IgG+IgM) using chemiluminescence immunoassay between June 22 and July 24, 2020. Venous blood (2 ml) was collected and tested for SARS-CoV-2 IgG and IgM antibodies. Results: Of the 3739 HCWs tested, 487 (13%) were positive for total SARS-CoV-2 antibodies. The highest seroprevalence was observed in administrative staff (19.6%) and least in physicians (5.4%). The staff who used public (20%) and hospital transportation (16.9%) showed higher seroprevalence compared to staff using personal transportation (12.4%). No difference was observed between HCWs posted in COVID versus non-COVID areas. All seropositive symptomatic HCWs in our study (53.6%) had mild symptoms, and the remaining 46.4 per cent were asymptomatic. The antibody positivity rate progressively increased from 7.0 per cent in the first week to 18.6 per cent in the fourth week during the study. Interpretation & conclusions: The presence of antibodies to SARS-CoV-2 in a significant number of asymptomatic HCWs, association with the use of public transport, relatively lower seroprevalence compared with the non-HCWs and rising trend during the period of the study highlight the need for serosurveillance, creating awareness for infection control practices including social distancing and study of infection dynamics in the community for effective control of an infectious pandemic.

How to rapidly design and operationalise PPE donning and doffing areas for a COVID-19 care facility: quality improvement initiative.

INTRODUCTION: Effective implementation of standard precautions specific to COVID-19 is a challenge for hospitals within the existing constraints of time and resources. AIM: To rapidly design and operationalise personal protective equipment (PPE) donning and doffing areas required for a COVID-19 care facility. METHODS: Literature review was done to identify all issues pertaining to donning and doffing in terms of Donabedian's structure, process and outcome. Training on donning and doffing was given to hospital staff. Donning and doffing mock drills were held. 5S was used as a tool to set up donning and doffing areas. Instances of donning and doffing were observed for protocol deviations and errors. Plan-do-study-act cycles were conducted every alternate day for 4 weeks. The initiative was reported using Standards for QUality Improvement Reporting Excellence (SQUIRE) guidelines. RESULTS: Best practices in donning and doffing were described. Our study recommends a minimum area of 16 m2 each for donning and doffing rooms. Verbally assisted doffing was found most useful than visual prompts. DISCUSSION: Challenges included sustaining the structure and process of donning and doffing, varied supplies of PPE which altered sequencing of donning and/or doffing, and training non-healthcare workers such as plumbers, electricians and drivers who were required during emergencies in the facility. CONCLUSION: Our study used evidence-based literature and quality improvement (QI) tools to design and operationalise donning and doffing areas with focus on people, task and environment. Our QI will enable healthcare facilities to rapidly prototype donning and doffing areas in a systematic way.