Developing a resilient healthcare supply chain to prevent disruption in the wake of emergency health crisis

PurposeThe study aims to identify and analyse the drivers of resilient healthcare supply chain (HCSC) preparedness in emergency health outbreaks to prevent disruption in healthcare services delivery in the context of India.Design/methodology/approachThe present study has opted for the grey clustering method to identify and analyse the drivers of resilient HCSC preparedness during health outbreaks into high, moderate and low important grey classes based on Grey-Delphi, analytic hierarchy process (AHP) and Shannon's information entropy (IE) theory.FindingsThe drivers of the resilient HCSC are scrutinised using the Grey-Delphi technique. By implementing AHP and Shannon's IE theory and depending upon structure, process and outcome measures of HCSC, eleven drivers of a resilient HCSC preparedness are clustered as highly important, three drivers into moderately important, and two drivers into a low important group.Originality/valueThe analysis and insights developed in the present study would help to plan and execute a viable, resilient emergency HCSC preparedness during the emergence of any health outbreak along with the stakeholders' coordination. The results of the study offer information, rationality, constructiveness, and universality that enable the wider application of AHP-IE/Grey clustering analysis to HCSC resilience in the wake of pandemics.

Healthcare facilities' level of preparedness response on COVID-19 preventive measures in selected regions of Tanzania: A perspective of healthcare workers

Background: After the first patient of COVID-19 was announced by the Ministry of Health in Tanzania from Arusha region, the hottest discussion in the community was the fear on how our health facilities were prepared against the spread of coronavirus disease. Objective and significance: This study aims at assessing healthcare facilities level of preparedness response on preventive measures against COVID-19 in selected regions of Tanzania through the contributions of healthcare workers. This study will add value in building capacity to fight COVID-19 pandemic and possibly any other pandemic of similar significance in the future. Methods: Analytical cross-sectional study design which applied quantitative research strategy was conducted from August to October 2022. A total of 596 healthcare workers were involved in the study from 40 healthcare facilities in Dar es Salaam, Mwanza, Arusha, and Dodoma regions of Tanzania. Descriptive statistics were analyzed by a statistical package SPSS version 26 (IBM Corp., Armonk, NY) giving frequencies, percentages, and significant association between variables. Results: Overall level of preparedness was poor at 52%, only 25% of preventive measures were good prepared and 23% moderately prepared. Availability of hand washing station with soap and water to ensure hand hygiene for healthcare workers was most prepared by 87.1% while designated ambulance facility for transporting patients from isolation area to other COVID-19 referral facilities was less prepared by 30.4% in this study. Conclusion: The preparedness responses was poor in selected regions of Tanzania which cause less capacity to fight against COVID-19 whenever it emerges. © 2020 The author (s).

Factors Influencing Knowledge Level of COVID-19 among Healthcare Workers: A Cross-sectional Survey in Four Regions of Tanzania

Up to April 24th 2020, the Government of Tanzania announced 284 cases of COVID-19, among them 7 were in intensive care, 37 recoveries, 10 deaths and the rest in stable condition while Dar es Salaam region was leading in number of infected cases followed by Mwanza, Arusha and Dodoma regions. This study was conducted to evaluate level of COVID-19 knowledge among healthcare workers in selected regions of Tanzania in order to identify the existing gap of knowledge in combating COVID-19. This study applied a quantitative analytical cross-sectional survey design in Dar es Salaam, Arusha, Mwanza and Dodoma regions of Tanzania from 24th of August till 3rd October, 2022. A total of 596 healthcare workers from 40 healthcare facilities were involved. Frequencies and percentages were analyzed for categorical variables. Association between categorical variables were analyzed by using Chi-square and variables were significant at P-value < 0.05. This study found that, healthcare workers have an average of 79.4% correct answers with overall level of knowledge at 70%, 24% and 6% of healthcare workers holding good, moderate and low levels of knowledge respectively. Multinomial logistic regression showed significant associations with service experience of 1-5 years (OR = 0.093, 95% CI, 0.011-0.759, P-value= 0.027) when good and poor knowledge compared. This study found moderate knowledge among healthcare workers. Significant association with level of knowledge reported in age, field profession, level of education, category of healthcare facility and situation of caring COVID-19 patients in facility. [ FROM AUTHOR] Copyright of Journal of Pure & Applied Microbiology is the property of Dr. M. N. Khan and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

The Implications of Covid-19 on Health Economics - an Overview

Purpose- This paper is an analysis of the current COVID-19 scenario and its inevitable effect on the economies around the world. The aim of this study is to provide an overview and the implications of a pandemic to the health economics of any country irrespective of being developed or otherwise developing. Design/Methodology/Approach-For the same, data has been collected through secondary sources likes articles, reports including online and offline data sources. The implications of the pandemic under political and economic repercussions, and its implications to the policy makers in the immediate future were studied and complied for the current study. Findings- The study has brought forward a long-term assessments and speculations of the effects of the on going pandemic.Copyright © 2020 Ubiquity Press. All rights reserved.

Assessment of Infection Prevention and Control (IPC) Implementation and Strategies Used for IPC Preparedness at Facility Level in Underdeveloped Areas of Pakistan.

Background: During outbreaks of infectious diseases like COVID-19, the healthcare-associated infections (HCAIs) pose a burden on public health system. There are very limited data about infection prevention and control (IPC) implementation in the healthcare facilities of Pakistan. The aim of the study was to conduct assessment with the IPC Assessment Framework (IPCAF) tool in healthcare facilities of the least developed areas. Methods: A cross-sectional survey was conducted in 12 tertiary level healthcare facilities (HCF) located in the least developed provinces of Pakistan. The facilities were selected through multistage cluster random methods. A well-structured questionnaire, the "IPCAF tool", was used for data collection. The IPCAF comprises eight sections with a 100 score of each section, thus with a maximum score of 800. The scores from 0 to 800 of the HCFs were divided into four gradual ratings through IPCAF, ie from inadequate to advanced. Results: The median score of all facilities was 405, with a range from inadequate to advanced. One facility (8.3%) fell into the "inadequate" category with a score of 172.5; 5 (41.6%) facilities achieved "basic" category, another 5 (41.6%) being "intermediate", and only one (8.3%) hospital achieved "advanced" status. Region-wise median score of facilities of GB was 307.5, facilities in AJK scored 342.5, and a score of 520 was found for health facilities in KPK. The components of Education and Training, HCAIs Surveillance, and Multimodal Strategies achieved the lowest scores. Conclusion: Most of the facilities have developed an IPC program with key focal persons and IPC committees, but did not have relevant education and training. IPC core capacities are being implemented. Equitable attention is required on all eight components of IPC in all facilities.

Energy access during and post-COVID-19 pandemic in sub-Saharan countries: the case of Ethiopia.

The global COVID-19 pandemic causes hundreds of thousands of deaths and has created a catastrophic economic and health crisis around the World. Transportation, manufacturing industries, business and people's movement came to almost a halt and sharp oil and gas prices reduction were observed. The impact of the pandemic for sub-Saharan countries like Ethiopia, which was already struggling with many economic and social welfare problems, is more evident than in other wealthy nations around the World. In Ethiopia, the general energy access rate is 44% and in healthcare facilities is only about 10%. Therefore, the response for the COVID-19 pandemic is challenging, since activities such as information sharing, communication with health centers, diagnosis and medical treatment require electricity access. This paper aims to assess the impact of the pandemic on energy access plans during and post-pandemic. The paper analyzed, the status of the current COVID-19 outbreak in Ethiopia, the energy access situation in health facilities, and the impacts of COVID-19 on energy access during and post-pandemic periods. Data related to the universal energy access plan of Ethiopia, the impact of energy access on healthcare services and the impact of the pandemic were reviewed for the assessment. The analysis indicates that the impact of the COVID-19 pandemic in Ethiopian healthcare facilities and on the overall universal energy access plan is immense and to minimize the global impact short and long-term policy responses are identified and urgently recommended. Furthermore, powering healthcare facilities with microgrids composed of solar panels and battery storage systems could be one cost-effective and sustainable solution for the speedy and effective response of the pandemic challenges.

Epidemiology of healthcare-associated SARS-CoV-2 outbreaks in Germany between March 2020 and May 2022.

BACKGROUND: Outbreaks in healthcare facilities played a pivotal role in the course of the coronavirus (COVID-19) pandemic. AIM: To investigate severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreaks in hospitals, outpatient care, and rehabilitation facilities in Germany from March 2020 to May 2022. METHODS: Data from the German mandatory notification system were used to describe outbreaks by number of cases and case fatality ratio (CFR), and outbreak cases by age and gender. Using Pearson correlation, the dynamics of cases in the general population were compared with cases in healthcare-associated infection (HAI) SARS-CoV-2 outbreaks before and after the start of the vaccination campaign. Additionally, a counterfactual scenario was used to estimate numbers of prevented HAI cases, using the phase before vaccination as baseline. FINDINGS: By the end of May 2022, 8941 healthcare-associated outbreaks were observed with 73,626 cases: 51,504 in hospitals, 15,524 in outpatient care, and 6598 in rehabilitation facilities. Median number of cases per outbreak was 4 (range: 2-342) and cases were more frequently reported in women with 46,818 (63.6%). Overall CFR was 8.1%, higher in men (12.4%) than in women (5.7%). After the vaccination campaign was fully introduced, the association between increasing incidence in the general population and consecutive outbreak cases was decreased by a factor of 10. Furthermore, our counterfactual analysis suggests that more than 55,000 outbreak cases could have been prevented until the end of 2021. CONCLUSION: The vaccination campaign in combination with non-pharmaceutical measures was key to reduce number, size and CFR of healthcare-associated outbreaks.

Infection Prevention and Control Initiatives to Prevent Healthcare-Associated Transmission of SARS-CoV-2, East Africa.

The coronavirus disease pandemic has highlighted the need to establish and maintain strong infection prevention and control (IPC) practices, not only to prevent healthcare-associated transmission of SARS-CoV-2 to healthcare workers and patients but also to prevent disruptions of essential healthcare services. In East Africa, where basic IPC capacity in healthcare facilities is limited, the US Centers for Disease Control and Prevention (CDC) supported rapid IPC capacity building in healthcare facilities in 4 target countries: Tanzania, Ethiopia, Kenya, and Uganda. CDC supported IPC capacity-building initiatives at the healthcare facility and national levels according to each country's specific needs, priorities, available resources, and existing IPC capacity and systems. In addition, CDC established a multicountry learning network to strengthen hospital level IPC, with an emphasis on peer-to-peer learning. We present an overview of the key strategies used to strengthen IPC in these countries and lessons learned from implementation.

Risk Management in the Healthcare Facilities: Case Study

The COVID-19 pandemic has affected the whole world, and we can classify it as a significant disaster in modern history. However, not only a pandemic is the unique disaster that has hit the earth. Due to the increased attention to the pandemic, spent not much attention on the other disasters. There have been forest fires in Australia, floods in Indonesia, volcano eruption in the Philippines, and others in 2020. Several disasters are causing cascading effects that may affect different sectors. Fires or floods are just one of them. The cascade effect can endanger several elements of critical infrastructure, such as the energy sector and healthcare. In healthcare facilities, patients are dependent on electricity supplies. It is therefore essential that the proper functioning of healthcare facilities is maintained. The aim of the paper is to highlight the growing trend in the number of disasters around the world and draw attention to the preparedness of healthcare facilities to solve these disasters. Based on the analysis, we can take the information that there is a big difference in the preparedness of the healthcare facilities to solve a power outage. © 2021 The Authors.

Strategies Employed in the Reconfiguration of Healthcare Facilities During COVID-19 in OECD Countries

This research summarizes the strategies employed in reconfiguring healthcare facilities in OECD member countries to care for patients with COVID-19. The findings were organized by highlighting each country’s hospital reconfiguration strategies, strategies targeting medical devices for treating COVID-19 patients, and medical devices classified by patient severity. Specific hospitals or new units were designated to treat patients in 79% of member countries, 47% reported having reoriented hospital areas for patient care, and 57% reported having increased capacity to treat patients in intensive care units. Telematic consultations (57%) and postponement of non-urgent interventions (76%) were reported strategies for reducing contagion. The 38 countries reported increased personal protective equipment, hospital beds, ventilators, and oxygenation supplies. Significantly few countries reported an increase in ECMO machines, negative pressure systems and rooms, and the availability of imaging equipment. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Learning from COVID 19. A Comparison of Innovative Design Solutions for Human-Centered Healthcare Facilities

The novel 2019 Coronavirus pandemic (COVID-19) has revealed numerous challenges in coordinating and arranging hospital spaces at both national and international level. The overwhelming number of hospital admissions of people affected by COVID-19 has highlighted difficulties in managing, updating, and refurbishing healthcare spaces. The objective of this study is to provide meta-design indications that demonstrate the value of spatial design in containing pandemic health emergencies and improving quality for different healthcare users. Utilized research methods include a review of existing literature on the current state of the art, analysis of design solutions that emerged in response to past pandemics and comparison of existing planning tools on the subject. Additionally, given the contemporaneity of the issue, a cross-sectional survey was used to collect and compare the experiences and design strategies adopted by some selected Italian hospital. The results of the study highlight the most effective and recurrent solutions that have supported health action in the fight against COVID-19. Emphasis was placed on solutions with a human-centered approach, as well as those that seek to promote the physical and psychological well-being of all users involved. In conclusion, the resulting meta-design indications represent a starting point for developing detailed design solution to enhance pandemic readiness. Additional research is needed to support healthcare facilities in becoming more welcoming and efficient while improving COVID-19 patient care and protecting healthcare workers. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Essential Business Visits and Social Vulnerability during New York City's Initial COVID-19 Outbreak.

New York City (NYC) was deeply impacted by COVID-19 in spring 2020, with thousands of new cases daily. However, the pandemic's effects were not evenly distributed across the city, and the specific contributors have not yet been systematically considered. To help investigate that topic, this study analyzed the interaction of people with neighborhood businesses and other points of interest (POIs) in parts of three NYC neighborhoods in the spring of 2020 during the peak of the first COVID-19 wave through anonymized cellphone data and direct the observation of 1313 individuals leaving healthcare facilities. This study considered social vulnerability index (SVI) levels, population density, and POI visit behaviors from both cellphone data and firsthand observations of behavior around select NYC health facilities in different boroughs as various proxies. By considering equivalent businesses or groups of businesses by neighborhood, POI visits better aligned with COVID-19 infection levels than SVI. If tracking POI visit levels proves a reliable direct or relative proxy for disease transmission when checked against larger datasets, this method could be critical in both predictions of future outbreaks and the setting of customer density limits.

Effectiveness of a stepped-care programme of internet-based psychological interventions for healthcare workers with psychological distress: Study protocol for the RESPOND healthcare workers randomised controlled trial.

Background and aims: The coronavirus disease 2019 pandemic has challenged health services worldwide, with a worsening of healthcare workers' mental health within initial pandemic hotspots. In early 2022, the Omicron variant is spreading rapidly around the world. This study explores the effectiveness and cost-effectiveness of a stepped-care programme of scalable, internet-based psychological interventions for distressed health workers on self-reported anxiety and depression symptoms. Methods: We present the study protocol for a multicentre (two sites), parallel-group (1:1 allocation ratio), analyst-blinded, superiority, randomised controlled trial. Healthcare workers with psychological distress will be allocated either to care as usual only or to care as usual plus a stepped-care programme that includes two scalable psychological interventions developed by the World Health Organization: A guided self-help stress management guide (Doing What Matters in Times of Stress) and a five-session cognitive behavioural intervention (Problem Management Plus). All participants will receive a single-session emotional support intervention, namely psychological first aid. We will include 212 participants. An intention-to-treat analysis using linear mixed models will be conducted to explore the programme's effect on anxiety and depression symptoms, as measured by the Patient Health Questionnaire - Anxiety and Depression Scale summary score at 21 weeks from baseline. Secondary outcomes include post-traumatic stress disorder symptoms, resilience, quality of life, cost impact and cost-effectiveness. Conclusions: This study is the first randomised trial that combines two World Health Organization psychological interventions tailored for health workers into one stepped-care programme. Results will inform occupational and mental health prevention, treatment, and recovery strategies. Registration details: ClinicalTrials.gov Identifier: NCT04980326.

Healthcare Supply Chain Management under COVID-19 Settings: The Existing Practices in Hong Kong and the United States.

COVID-19 is recognized as an infectious disease generated by serious acute respiratory syndrome coronavirus 2. COVID-19 has rapidly spread all over the world within a short time period. Due to the coronavirus pandemic transmitting quickly worldwide, the impact on global healthcare systems and healthcare supply chain management has been profound. The COVID-19 outbreak has seriously influenced the routine and daily operations of healthcare facilities and the entire healthcare supply chain management and has brough about a public health crisis. As making sure the availability of healthcare facilities during COVID-19 is crucial, the debate on how to take resilience actions for sustaining healthcare supply chain management has gained new momentum. Apart from the logistics of handling human remains in some countries, supplies within the communities are urgently needed for emergency response. This study focuses on a comprehensive evaluation of the current practices of healthcare supply chain management in Hong Kong and the United States under COVID-19 settings. A wide range of different aspects associated with healthcare supply chain operations are considered, including the best practices for using respirators, transport of life-saving medical supplies, contingency healthcare strategies, blood distribution, and best practices for using disinfectants, as well as human remains handling and logistics. The outcomes of the conducted research identify the existing healthcare supply chain trends in two major Eastern and Western regions of the world, Hong Kong and the United States, and determine the key challenges and propose some strategies that can improve the effectiveness of healthcare supply chain management under COVID-19 settings. The study highlights how to build resilient healthcare supply chain management preparedness for future emergencies.

Tasks of COVID-19 prevention and control management teams at primary health care facilities in mainland China: a nationwide online cross-sectional survey.

BACKGROUND: This research aimed to investigate the tasks performed by Coronavirus Disease 2019(COVID-19) prevention and control management teams at primary healthcare (PHC) facilities during COVID-19 pandemic across the mainland China. METHODS: An online survey was performed and COVID-19 prevention and control management teams at PHC facilities were invited to participate in this research. The top 7 most important tasks in the three different periods of COVID-19 containment were selected and ranked. Participations of tasks were surveyed. RESULTS: A total of 998 valid responses (an effective rate of 99.11%) were collected. The respondents were divided into Group A (≤5 respondents within each PHC facility, n1 = 718) and Group B (> 5 respondents within each PHC facility, n2 = 280). The consensus was selected from top 7 most important tasks including screening at travel centers/intervals and screening at entry centers, at-home/centralized quarantine management, transferring, pre-examination/triage and fever sentinel surveillance clinic/fever clinic. Pre-examination/triage and fever sentinel surveillance clinic/fever clinic works became more significant in the regular prevention and control period. Adjusted analysis found that team members of Group A with a college, undergraduate college and graduate school educational background were less involved in pre-examination/triage works (aOR: 0.28; 95%CI: 0.09-0.86, P = 0.026; aOR: 0.30; 95%CI: 0.10-0.90, P = 0.031; aOR: 0.21; 95%CI: 0.05-0.82, P = 0.024). Those who were over the median age were twice more likely to be engaged in managing fever sentinel surveillance of clinic/fever clinic visitors (aOR: 2.18; 95%CI: 1.16-4.08, P = 0.015). Those being specialized in nursing and other specialties were less likely to participate in fever sentinel surveillance of clinic/fever clinic works (aOR: 0.44; 95%CI: 0.24-0.81, P = 0.009; aOR: 0.30; 95%CI: 0.16-0.58, P < 0.001). Those came from central and western China were less likely to participate in centralized quarantine management (aOR: 0.61; 95%CI: 0.38-0.98, P = 0.042; aOR: 0.64; 95%CI: 0.42-0.97, P = 0.037). Team members came from central and western China were twice less likely to participate in screening at travel centers/intervals (aOR: 1.75; 95%CI: 1.14-2.70, P = 0.011; aOR: 1.63; 95%CI: 1.07-2.48, P = 0.024). CONCLUSION: In mainland China, team members of COVID-19 prevention and control at PHC facilities are mainly responsible for screening, quarantine, transferring and monitoring during the COVID-19 pandemic. Pre-examination/triage and the fever sentinel surveillance clinic/fever clinic were gradually valued. Team members with lower educational background are competent in pre-examination/triage works, but more experienced general practitioners are more likely to be in charge of fever sentinel surveillance clinic/fever clinics work. The necessity of COVID-19 prevention and control management teams to participate in screening at travel centers/intervals is subjected to further discussions.

Legal Framework for the Design and Construction of COVID Hospitals in the Russian Federation

The paper discusses the legal framework for the design and construction of modern high-tech prefabricated healthcare facilities. It highlights the challenges faced by design and construction works in the context of the coronavirus pandemic. With limited timeframes, healthcare construction projects are using prefabricated technologies that are supposed to meet the highest of construction standards and allow for operation of modern healthcare equipment. This task is being solved also at the legal level. All things considered, the issues of legal regulation of COVID hospitals design and construction in the Russian Federation relevant require due attention. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

The impact of leadership on perceived work-related stress in healthcare facilities organisations

Purpose Employees in the private, public, and third sectors have experienced an increase in stress over the years. Amongst the sectors, people working in hospitals and other healthcare facilities were put under severe stress during the COVID-19 pandemic. Indeed, the World Health Organisation has clearly stated that defending people's mental health at this particular time of restless pandemic growth is an absolute necessity. The purpose of this article is to assess the perceived work-related stress (WRS) of healthcare workers (HCWs) as a result of the spread of COVID-19, as well as how a leadership role can help to reduce WRS. Design/methodology/approach Based on a multiple case study approach applied to two Italian health-care facilities, the questionnaire results were subjected to a regression analysis. Findings The results show an association in HCWs between the perception of supportive leadership and the perception of negative psychosocial risks whose exposure can lead to manifestation of WRS during COVID-19 pandemic. Originality/value The study addresses the role that the perception of supportive leadership can play in reducing exposure to occupational psychosocial risks in a sample of healthcare professionals.

Developing a resilient healthcare supply chain to prevent disruption in the wake of emergency health crisis

Purpose: The study aims to identify and analyse the drivers of resilient healthcare supply chain (HCSC) preparedness in emergency health outbreaks to prevent disruption in healthcare services delivery in the context of India. Design/methodology/approach: The present study has opted for the grey clustering method to identify and analyse the drivers of resilient HCSC preparedness during health outbreaks into high, moderate and low important grey classes based on Grey-Delphi, analytic hierarchy process (AHP) and Shannon's information entropy (IE) theory. Findings: The drivers of the resilient HCSC are scrutinised using the Grey-Delphi technique. By implementing AHP and Shannon's IE theory and depending upon structure, process and outcome measures of HCSC, eleven drivers of a resilient HCSC preparedness are clustered as highly important, three drivers into moderately important, and two drivers into a low important group. Originality/value: The analysis and insights developed in the present study would help to plan and execute a viable, resilient emergency HCSC preparedness during the emergence of any health outbreak along with the stakeholders' coordination. The results of the study offer information, rationality, constructiveness, and universality that enable the wider application of AHP-IE/Grey clustering analysis to HCSC resilience in the wake of pandemics. © 2022, Emerald Publishing Limited.

Integrating Learning Algorithms for Efficient Hospital Maintenance

The significance of keeping the hospital buildings in a completely functional state has been acknowledged by the recent worldwide spread of COVID-19, where hospitals are playing a vital role in ensuring the population's safety and wellbeing. This necessitates an efficient maintenance management mechanism for all hospital building components in order to reduce possible downtimes pertaining to asset failures. Accordingly, the current study presents an assessment framework for hospital building assets where their relative criticality and performance levels are evaluated on a Neutrosophic ANP basis, followed by the derivation of their corresponding priority level using an automated Decision Tree model. The developed model was validated by testing the relative level of agreeability between the model-predicted values and the actual values derived by inspectors using historical records from 3 hospital case studies, and the performance of the model exceeded 90% which verifies its capability in predicting a suitable priority level for hospital building assets.

Evaluation of Comfort Models Considering the Peculiarities of Hospitalization: Bedding, Clothing and Reduced Activity of Patients

The study of thermo-hygrometric comfort in hospitals involves several factors: the presence of different subjects: patients, operators, visitors;different conditions of hospitalization: patients bedridden or out of bed;psychological aspects and therapeutic treatments. In this paper, the analysis focuses on patients in ordinary hospitalization rooms of a hospital located in southern Italy. Different room orientations, several characteristics, and specific factors concerning hospitalized patients’ conditions that significantly influence the comfort indices have been considered. In total, 41 scenarios have been defined and analyzed by means of two comfort models: static and adaptive. The study aims to investigate the application of these models to the complex environment of hospitals, finding strengths and weaknesses, which also results in a re-definition of the HVAC system operation. Results show that patient position (in bed or out), clothing type, and level of coverage in the bed can make the same microclimatic condition more suitable for one scenario over another. Furthermore, room exposure has an effect on the comfort of the indoor temperature. The seasonal analyses highlight that during summer, for all scenarios considering bedridden patients, more than 50% of the PMV calculated values are out of the comfort zone. In winter, the indoor conditions are good for bedridden patients with a cover level of 67% during the nighttime (almost 100% PMV values in comfort zone), while during the daytime, they are more suitable for a 48% coverage level if the patient is in bed or if they are walking (lower than 10% dissatisfied).