Human resource shortage in India's health sector: a scoping review of the current landscape.

BACKGROUND: For healthcare delivery to be optimally effective, health systems must possess adequate levels and we must ensure a fair distribution of human resources aimed at healthcare facilities. We conducted a scoping review to map the current state of human resources for health (HRH) in India and the reasons behind its shortage. METHODS: A systematic search was conducted in various electronic databases, from the earliest available date till February 2024. We applied a uniform analytical framework to all the primary research reports and adopted the "descriptive-analytical" method from the narrative paradigm. Inductive thematic analysis was conducted to arrange the retrieved data into categories based on related themes after creating a chart of HRH problems. RESULTS: A total of 9675 articles were retrieved for this review. 88 full texts were included for the final data analysis. The shortage was addressed in 30.6% studies (n = 27) whereas 69.3% of studies (n = 61) addressed reasons for the shortage. The thematic analysis of data regarding reasons for the shortage yielded five kinds of HRH-related problems such as inadequate HRH production, job dissatisfaction, brain drain, regulatory issues, and lack of training, monitoring, and evaluation that were causing a scarcity of HRH in India. CONCLUSION: There has been a persistent shortage and inequitable distribution of human resources in India with the rural expert cadres experiencing the most severe shortage. The health department needs to establish a productive recruitment system if long-term solutions are to be achieved. It is important to address the slow and sporadic nature of the recruitment system and the issue of job insecurity among medical officers, which in turn affects their other employment benefits, such as salary, pension, and recognition for the years of service.

Social network analysis of a decade-long collaborative innovation network between hospitals and the biomedical industry in China.

Collaborative innovation between hospitals and biomedical enterprises is crucial for ensuring breakthroughs in their development. This study explores the structural characteristics and examines the main roles of associated key actors of collaborative innovation between hospitals and biomedical enterprises in China. Using the jointly owned patent data within the country's healthcare industry, a decade-long collaborative innovation network between hospitals and biomedical enterprises in China was established and analyzed through social network analysis. The results revealed that the overall levels of collaborative innovation network density, collaborative frequency, and network connectivity were significantly low, especially in less-developed regions. In terms of actors with higher degree centrality, hospitals accounted for the majority, whereas a biomedical enterprise in Shenzhen had the highest degree centrality. Organizations in underdeveloped and northwest regions and small players were more likely to implement collaborative innovation. In conclusion, a collaborative innovation network between hospitals and biomedical enterprises in China demonstrated high dispersion and poor development levels. Stimulating organizations' initiatives for collaborative innovation may enhance quality and quantity of such innovation. Policy support and economic investments, strategic collaborative help, and resource and partnership optimization, especially for small players and in less-developed and northwest regions, should be encouraged to enhance collaborative innovation between hospitals and the biomedical industry in China and other similar countries or regions.

Faculty members as academic knowledge brokers in Iran's health sector: a social network analysis study.

BACKGROUND: Interaction between researchers and policymakers is an essential factor to facilitate the evidence-informed policymaking. One of the effective ways to establish this relationship and promote evidence-informed policymaking is to employ people or organizations that can play the role of knowledge brokers. This study aims to analyze the communication network and interactions between researchers and policymakers in Iran's health sector and identify key people serving as academic knowledge brokers. METHODS: This study was a survey research. Using a census approach, we administered a sociometric survey to faculty members in the health field in top ten Iranian medical universities to construct academic-policymaker network using social network analysis method. Network maps were generated using UCINET and NetDraw software. We used Indegree Centrality, Outdegree Centrality, and Betweenness Centrality indicators to determine knowledge brokers in the network. RESULTS: The drawn network had a total of 188 nodes consisting of 94 university faculty members and 94 policymakers at three national, provincial, and university levels. The network comprised a total of 177 links, with 125 connecting to policymakers and 52 to peers. Of 56 faculty members, we identified four knowledge brokers. Six policymakers were identified as key policymakers in the network, too. CONCLUSIONS: It seems that the flow of knowledge produced by research in the health field in Iran is not accomplished well from the producers of research evidence to the users of knowledge. Therefore, it seems necessary to consider incentive and support mechanisms to strengthen the interaction between researchers and policymakers in Iran's health sector.

Artificial intelligence in the healthcare sector: comparison of deep learning networks using chest X-ray images.

Purpose: Artificial intelligence has led to significant developments in the healthcare sector, as in other sectors and fields. In light of its significance, the present study delves into exploring deep learning, a branch of artificial intelligence. Methods: In the study, deep learning networks ResNet101, AlexNet, GoogLeNet, and Xception were considered, and it was aimed to determine the success of these networks in disease diagnosis. For this purpose, a dataset of 1,680 chest X-ray images was utilized, consisting of cases of COVID-19, viral pneumonia, and individuals without these diseases. These images were obtained by employing a rotation method to generate replicated data, wherein a split of 70 and 30% was adopted for training and validation, respectively. Results: The analysis findings revealed that the deep learning networks were successful in classifying COVID-19, Viral Pneumonia, and Normal (disease-free) images. Moreover, an examination of the success levels revealed that the ResNet101 deep learning network was more successful than the others with a 96.32% success rate. Conclusion: In the study, it was seen that deep learning can be used in disease diagnosis and can help experts in the relevant field, ultimately contributing to healthcare organizations and the practices of country managers.

Profits over care? An analysis of the relationship between corporate capitalism in the healthcare industry and cancer mortality in the United States.

The characteristic features of 21st-century corporate capitalism - monopoly and financialization - are increasingly being recognized by public health scholars as undermining the foundations of human health. While the "vectors" through which this is occurring are well known - poverty, inequality, climate change among others - locating the root cause of this process in the nature and institutions of contemporary capitalism is relatively new. Researchers have been somewhat slow to study the relationship between contemporary capitalism and human health. In this paper, we focus on one of the leading causes of death in the United States; cancer, and empirically estimate the relationship between various measures of financialization and monopoly in the US healthcare system and cancer mortality. The measures we focus on are for the hospital industry, the health insurance industry, and the pharmaceutical industry. Using a fixed effects model with different specifications and control variables, our analysis is at the state level for the years 2012-2019. These variables include data on population demographic controls, social and economic factors, and health behavior and clinical care. We compare Medicaid expansion states with non-Medicaid expansion states to investigate variations in state-level funded health insurance coverage. The results show a statistically significant positive correlation between the HHI index in the individual healthcare market and cancer mortality and the opioid dispensing rate and cancer mortality.

Bridging the gap between healthcare sectors: Facilitating the transition from NICU to the municipality and home for families with premature infants.

PURPOSE: The transition from hospital to home can be challenging for parents of prematurely born infants. The aim of this ethnographic study was to describe a multidisciplinary and cross-sectoral discharge conference for families with premature infants transitioning from a neonatal intensive care unit to municipal healthcare services. DESIGN AND METHODS: An ethnographically/anthropologically inspired qualitative design was adopted. We conducted four participant observations of multidisciplinary and cross-sectoral discharge conferences and 12 semistructured interviews with four neonatologists, four nurses, and four health visitors who had attended one of the conferences. Salient themes were generated by two-part analysis consisting of a thematic analysis followed by Turner's ritual analysis. RESULTS: This study illustrated how multidisciplinary and cross-sectoral discharge conferences improved the quality of care for premature infants and their families in their transition process which was perceived as complex. These conferences contributed to promoting a sense of coherence and continuity of care. The healthcare professionals experienced that this event may be characterized as a ritual, which created structures that promoted cross-sectoral cooperation and communication while increasing interdisciplinary knowledge sharing. Thus, the conferences triggered a sense that the participants were building bridges to unite healthcare sectors, ensuring a holistic and coordinated approach to meet the unique needs of the infants and their families. IMPLICATIONS FOR PRACTICE: This study presented a unique holistic and family-centered approach to constructing multidisciplinary and cross-sectoral discharge conferences that seemed to underpin the quality of interdisciplinary and health-related knowledge sharing and establish a crucial starting point for early interventions, preventive measures, and health-promoting efforts. Hopefully, our findings will encourage others to rethink the discharge conference as a transitional ritual that may potentially bridge the gap between healthcare sectors. Specifically, our findings contribute to the mounting body of knowledge of family-centered care by showing how healthcare professionals may-in a meaningful and tangible manner-operate, develop, and implement this somewhat elusive theoretical foundation in their clinical practice.

A Competition Perspective on Physician Non-compete Agreements.

Physician non-compete agreements may have significant competitive implications, and effects on both providers and patients, but they are treated variously under the law on a state-by-state basis. Reviewing the relevant law and the economic literature cannot identify with confidence the net effects of such agreements on either physicians or health care delivery with any generality. In addition to identifying future research projects to inform policy, it is argued that the antitrust "rule of reason" provides a useful and established framework with which to evaluate such agreements in specific health care markets and, potentially, to address those agreements most likely to do significant damage to health care competition and consumers.

The Work Ability Index (WAI) in the Healthcare Sector: A Cross-Sectional/Retrospective Assessment of the Questionnaire.

The Work Ability Index (WAI) is the most widely used questionnaire for the self-assessment of working ability. Because of its different applications, shorter versions, and widespread use in healthcare activities, assessing its characteristics is worthwhile. The WAI was distributed online among the employees of a healthcare company; the results were compared with data contained in the employees' personal health records and with absence registers. A total of 340 out of 575 workers (59.1%) participated; 6.5% of them reported poor work ability. Exploratory factor analysis indicated that the one-factor version best described the characteristics of the WAI. The scores of the complete WAI, the shorter form without the list of diseases, and the minimal one-item version (WAS) had equal distribution and were significantly correlated. The WAI score was inversely related to age and significantly lower in women than in men, but it was higher in night workers than in their day shift counterparts due to the probable effect of selective factors. The WAI score was also correlated with absenteeism, but no differences were found between males and females in the average number of absences, suggesting that cultural or emotional factors influence the self-rating of the WAI. Workers tended to over-report illnesses in the online survey compared to data collected during occupational health checks. Musculoskeletal disorders were the most frequently reported illnesses (53%). Psychiatric illnesses affected 21% of workers and had the greatest impact on work ability. Multilevel ergonomic and human factor intervention seems to be needed to recover the working capacity of healthcare workers.

Is convenience really king? Comparative evaluation of catastrophic costs due to tuberculosis in the public and private healthcare sectors of Viet Nam: a longitudinal patient cost study.

BACKGROUND: In Viet Nam, tuberculosis (TB) represents a devastating life-event with an exorbitant price tag, partly due to lost income from daily directly observed therapy in public sector care. Thus, persons with TB may seek care in the private sector for its flexibility, convenience, and privacy. Our study aimed to measure income changes, costs and catastrophic cost incurrence among TB-affected households in the public and private sector. METHODS: Between October 2020 and March 2022, we conducted 110 longitudinal patient cost interviews, among 50 patients privately treated for TB and 60 TB patients treated by the National TB Program (NTP) in Ha Noi, Hai Phong and Ho Chi Minh City, Viet Nam. Using a local adaptation of the WHO TB patient cost survey tool, participants were interviewed during the intensive phase, continuation phase and post-treatment. We compared income levels, direct and indirect treatment costs, catastrophic costs using Wilcoxon rank-sum and chi-squared tests and associated risk factors between the two cohorts using multivariate regression. RESULTS: The pre-treatment median monthly household income was significantly higher in the private sector versus NTP cohort (USD 868 vs USD 578; P = 0.010). However, private sector treatment was also significantly costlier (USD 2075 vs USD 1313; P = 0.005), driven by direct medical costs which were 4.6 times higher than costs reported by NTP participants (USD 754 vs USD 164; P < 0.001). This resulted in no significant difference in catastrophic costs between the two cohorts (Private: 55% vs NTP: 52%; P = 0.675). Factors associated with catastrophic cost included being a single-person household [adjusted odds ratio (aOR = 13.71; 95% confidence interval (CI): 1.36-138.14; P = 0.026], unemployment during treatment (aOR = 10.86; 95% CI: 2.64-44.60; P < 0.001) and experiencing TB-related stigma (aOR = 37.90; 95% CI: 1.72-831.73; P = 0.021). CONCLUSIONS: Persons with TB in Viet Nam face similarly high risk of catastrophic costs whether treated in the public or private sector. Patient costs could be reduced through expanded insurance reimbursement to minimize direct medical costs in the private sector, use of remote monitoring and multi-week/month dosing strategies to avert economic costs in the public sector and greater access to social protection mechanism in general.

The 2023 report of the MJA-Lancet Countdown on health and climate change: sustainability needed in Australia's health care sector.

The MJA-Lancet Countdown on health and climate change in Australia was established in 2017 and produced its first national assessment in 2018 and annual updates in 2019, 2020, 2021 and 2022. It examines five broad domains: health hazards, exposures and impacts; adaptation, planning and resilience for health; mitigation actions and health co-benefits; economics and finance; and public and political engagement. In this, the sixth report of the MJA-Lancet Countdown, we track progress on an extensive suite of indicators across these five domains, accessing and presenting the latest data and further refining and developing our analyses. Our results highlight the health and economic costs of inaction on health and climate change. A series of major flood events across the four eastern states of Australia in 2022 was the main contributor to insured losses from climate-related catastrophes of $7.168 billion - the highest amount on record. The floods also directly caused 23 deaths and resulted in the displacement of tens of thousands of people. High red meat and processed meat consumption and insufficient consumption of fruit and vegetables accounted for about half of the 87 166 diet-related deaths in Australia in 2021. Correction of this imbalance would both save lives and reduce the heavy carbon footprint associated with meat production. We find signs of progress on health and climate change. Importantly, the Australian Government released Australia's first National Health and Climate Strategy, and the Government of Western Australia is preparing a Health Sector Adaptation Plan. We also find increasing action on, and engagement with, health and climate change at a community level, with the number of electric vehicle sales almost doubling in 2022 compared with 2021, and with a 65% increase in coverage of health and climate change in the media in 2022 compared with 2021. Overall, the urgency of substantial enhancements in Australia's mitigation and adaptation responses to the enormous health and climate change challenge cannot be overstated. Australia's energy system, and its health care sector, currently emit an unreasonable and unjust proportion of greenhouse gases into the atmosphere. As the Lancet Countdown enters its second and most critical phase in the leadup to 2030, the depth and breadth of our assessment of health and climate change will be augmented to increasingly examine Australia in its regional context, and to better measure and track key issues in Australia such as mental health and Aboriginal and Torres Strait Islander health and wellbeing.

Evaluation of the risk of occupational exposure to antineoplastic drugs in healthcare sector: part II - the application of the FMECA method to compare manual vs automated preparation.

Healthcare workers handling antineoplastic drugs (ADs) in preparation units run the risk of occupational exposure to contaminated surfaces and associated mutagenic, teratogenic, and oncogenic effects of those drugs. To minimise this risk, automated compounding systems, mainly robots, have been replacing manual preparation of intravenous drugs for the last 20 years now, and their number is on the rise. To evaluate contamination risk and the quality of the working environment for healthcare workers preparing ADs, we applied the Failure Mode Effects and Criticality Analysis (FMECA) method to compare the acceptable risk level (ARL), based on the risk priority number (RPN) calculated from five identified failure modes, with the measured risk level (MRL). The model has shown higher risk of exposure with powdered ADs and containers not protected by external plastic shrink film, but we found no clear difference in contamination risk between manual and automated preparation. This approach could be useful to assess and prevent the risk of occupational exposure for healthcare workers coming from residual cytotoxic contamination both for current handling procedures and the newly designed ones. At the same time, contamination monitoring data can be used to keep track of the quality of working conditions by comparing the observed risk profiles with the proposed ARL. Our study has shown that automated preparation may have an upper hand in terms of safety but still leaves room for improvement, at least in our four hospitals.

Hybrid model: a promising type of public procurement in the healthcare sector of the European Union.

The management of health supplies in public hospitals has been a major concern of national and European institutions over time, often being a field of reforms and regulatory interventions. Health procurement systems constitute complex decision-making and supply chain management mechanisms of public hospitals, involving suppliers, health providers, administrators and political bodies. Due to this complexity, the first important decision to be taken when designing a procurement system, concerns the degree of centralization, namely to what extent the decision-making power on the healthcare procurement (what, how and when) will be transferred either to a central public authority established for this purpose, or to the competent local authorities. In this perspective, we attempt to analyse the types of public procurement in the healthcare sector of the European Union, in terms of degree of centralization. Employing a narrative approach that summarizes recent interdisciplinary literature, this perspective finds that the healthcare procurement systems of the EU Member States, based on the degree of centralization, are categorized into three types of organizational structures: Centralized, Decentralized and Hybrid procurement. Each structure offers advantages and disadvantages for health systems. According to this perspective, a combination of centralized and decentralized purchases of medical supplies represents a promising hybrid model of healthcare procurement organization by bringing the benefits of two methods together.

Digital technologies to unlock safe and sustainable opportunities for medical device and healthcare sectors with a focus on the combined use of digital twin and extended reality applications: A review.

Medical devices have increased in complexity where there is a pressing need to consider design thinking and specialist training for manufacturers, healthcare and sterilization providers, and regulators. Appropriately addressing this consideration will positively inform end-to-end supply chain and logistics, production, processing, sterilization, safety, regulation, education, sustainability and circularity. There are significant opportunities to innovate and to develop appropriate digital tools to help unlock efficiencies in these important areas. This constitutes the first paper to create an awareness of and to define different digital technologies for informing and enabling medical device production from a holistic end-to-end life cycle perspective. It describes the added-value of using digital innovations to meet emerging opportunities for many disposable and reusable medical devices. It addresses the value of accessing and using integrated multi-actor HUBs that combine academia, industry, healthcare, regulators and society to help meet these opportunities. Such as cost-effective access to specialist pilot facilities and expertise that converges digital innovation, material science, biocompatibility, sterility assurance, business model and sustainability. It highlights the marked gap in academic R&D activities (PRISMA review of best publications conducted between January 2010 and January 2024) and the actual list of U.S. FDA's approved and marketed artificial intelligence/machine learning (AI/ML), and augmented reality/virtual reality (AR/VR) enabled-medical devices for different healthcare applications. Bespoke examples of benefits underlying future use of digital tools includes potential implementation of machine learning for supporting and enabling parametric release of sterilized products through efficient monitoring of critical process data (complying with ISO 11135:2014) that would benefit stakeholders. This paper also focuses on the transformative potential of combining digital twin with extended reality innovations to inform efficiencies in medical device design thinking, supply chain and training to inform patient safety, circularity and sustainability.

Operational priorities for engaging with India's private healthcare sector for the control of tuberculosis: a modelling study.

OBJECTIVES: To estimate the potential impact of expanding services offered by the Joint Effort for Elimination of Tuberculosis (JEET), the largest private sector engagement initiative for tuberculosis (TB) in India. DESIGN: We developed a mathematical model of TB transmission dynamics, coupled with a cost model. SETTING: Ahmedabad and New Delhi, two cities with contrasting levels of JEET coverage. PARTICIPANTS: Estimated patients with TB in Ahmedabad and New Delhi. INTERVENTIONS: We investigated the epidemiological impact of expanding three different public-private support agency (PPSA) services: provider recruitment, uptake of cartridge-based nucleic acid amplification tests and uptake of adherence support mechanisms (specifically government supplied fixed-dose combination drugs), all compared with a continuation of current TB services. RESULTS: Our results suggest that in Delhi, increasing the use of adherence support mechanisms among private providers should be prioritised, having the lowest incremental cost-per-case-averted between 2020 and 2035 of US$170 000 (US$110 000-US$310 000). Likewise in Ahmedabad, increasing provider recruitment should be prioritised, having the lowest incremental cost-per-case averted of US$18 000 (US$12 000-US$29 000). CONCLUSION: Results illustrate how intervention priorities may vary in different settings across India, depending on local conditions, and the existing degree of uptake of PPSA services. Modelling can be a useful tool for identifying these priorities for any given setting.

Changes in Health Care Workers' Economic Outcomes Following Medicaid Expansion.

Importance: The extent to which changes in health sector finances impact economic outcomes among health care workers, especially lower-income workers, is not well known. Objective: To assess the association between state adoption of the Affordable Care Act's Medicaid expansion-which led to substantial improvements in health care organization finances-and health care workers' annual incomes and benefits, and whether these associations varied across low- and high-wage occupations. Design, Setting, and Participants: Difference-in-differences analysis to assess differential changes in health care workers' economic outcomes before and after Medicaid expansion among workers in 30 states that expanded Medicaid relative to workers in 16 states that did not, by examining US individuals aged 18 through 65 years employed in the health care industry surveyed in the 2010-2019 American Community Surveys. Exposure: Time-varying state-level adoption of Medicaid expansion. Main Outcomes and Measures: Primary outcome was annual earned income; secondary outcomes included receipt of employer-sponsored health insurance, Medicaid, and Supplemental Nutrition Assistance Program benefits. Results: The sample included 1 322 263 health care workers from 2010-2019. Health care workers in expansion states were similar to those in nonexpansion states in age, sex, and educational attainment, but those in expansion states were less likely to identify as non-Hispanic Black. Medicaid expansion was associated with a 2.16% increase in annual incomes (95% CI, 0.66%-3.65%; P = .005). This effect was driven by significant increases in annual incomes among the top 2 highest-earning quintiles (ß coefficient, 2.91%-3.72%), which includes registered nurses, physicians, and executives. Health care workers in lower-earning quintiles did not experience any significant changes. Medicaid expansion was associated with a 3.15 percentage point increase in the likelihood that a health care worker received Medicaid benefits (95% CI, 2.46 to 3.84; P < .001), with the largest increases among the 2 lowest-earning quintiles, which includes health aides, orderlies, and sanitation workers. There were significant decreases in employer-sponsored health insurance and increases in SNAP following Medicaid expansion. Conclusion and Relevance: Medicaid expansion was associated with increases in compensation for health care workers, but only among the highest earners. These findings suggest that improvements in health care sector finances may increase economic inequality among health care workers, with implications for worker health and well-being.

The role of private healthcare sector actors in health service delivery and financing policy processes in low-and middle-income countries: a scoping review.

The expansion of the private healthcare sector in some low-income and middle-income countries (LMICs) has raised key questions and debates regarding the governance of this sector, and the role of actors representing the sector in policy processes. Research on the role played by this sector, understood here as private hospitals, pharmacies and insurance companies, remains underdeveloped in the literature. In this paper, we present the results of a scoping review focused on synthesising scholarship on the role of private healthcare sector actors in health policy processes pertaining to health service delivery and financing in LMICs. We explore the role of organisations or groups-for example, individual companies, corporations or interest groups-representing healthcare sector actors, and use a conceptual framework of institutions, ideas, interests and networks to guide our analysis. The screening process resulted in 15 papers identified for data extraction. We found that the literature in this domain is highly interdisciplinary but nascent, with largely descriptive work and undertheorisation of policy process dynamics. Many studies described institutional mechanisms enabling private sector participation in decision-making in generic terms. Some studies reported competing institutional frameworks for particular policy areas (eg, commerce compared with health in the context of medical tourism). Private healthcare actors showed considerable heterogeneity in their organisation. Papers also referred to a range of strategies used by these actors. Finally, policy outcomes described in the cases were highly context specific and dependent on the interaction between institutions, interests, ideas and networks. Overall, our analysis suggests that the role of private healthcare actors in health policy processes in LMICs, particularly emerging industries such as hospitals, holds key insights that will be crucial to understanding and managing their role in expanding health service access.