Emerging SARS-CoV-2 variants can potentially break set epidemiological barriers in COVID-19.

Young age, female sex, absence of comorbidities, and prior infection or vaccination are known epidemiological barriers for contracting the new infection and/or increased disease severity. Demographic trends from the recent coronavirus disease 2019 waves, which are believed to be driven by newer severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants, indicate that the aforementioned epidemiological barriers are being breached and a larger number of younger and healthy individuals are developing severe disease. The new SARS-CoV-2 variants have key mutations that can induce significant changes in the virus-host interactions. Recent studies report that, some of these mutations, singly or in a group, enhance key mechanisms, such as binding of the receptor-binding domain (RBD) of the viral spike protein with the angiotensin-converting enzyme 2 (ACE2) receptor in the host-cells, increase the glycosylation of spike protein at the antigenic sites, and enhance the proteolytic cleavage of the spike protein, thus leading to improved host-cell entry and the replication of the virus. The putative changes in the virus-host interactions imparted by the mutations in the RBD sequence can potentially be the reason behind the breach of the observed epidemiological barriers. Susceptibility for contracting SARS-CoV-2 infection and the disease outcomes are known to be influenced by host-cell expressions of ACE2 and other proteases. The new variants can act more efficiently, and even with the lesser availability of the viral entry-receptor and the associated proteases, can have more efficient host-cell entry and greater replication resulting in high viral loads and prolonged viral shedding, widespread tissue-injury, and severe inflammation leading to increased transmissibility and lethality. Furthermore, the accumulating evidence shows that multiple new variants have reduced neutralization by both, natural and vaccine-acquired antibodies, indicating that repeated and vaccine breakthrough infections may arise as serious health concerns in the ongoing pandemic.

How to work with intangible software in public health systems: some experiences from India.

This commentary focuses on "intangible software", defined as the range of ideas, norms, values and issues of power or trust that affect the performance of health systems. While the need to work with intangible software within health systems is increasingly being recognized, the practical hows of doing so have been given less attention. In this commentary, we, a team of researchers and implementers from India, have tried to deliberate on these hows through a practice lens. We engage with four questions of current relevance to intangible software in the field of health policy and systems research (HPSR): (1) Is it possible to rewire intangible software in health systems? (2) What approaches have been attempted in the Indian public health system to rewire intangibles? (3) Have such approaches been evaluated? (4) What practical lessons can we offer from our experience on rewiring intangibles? From our perspective, approaches to rewiring intangible software recognize that people in health systems are capable of visioning, thinking, adapting to and leading change. These approaches attempt to challenge the often-unchallenged power hierarchies in health systems by allowing people to engage deeply with widely accepted norms and routinized actions. In this commentary, we have reported on such approaches from India under six categories: approaches intended to enable visioning and leading; approaches targeted at engaging with evidence better; approaches intended to help health workers navigate contextual complexities; approaches intended to build the cultural competence; approaches that recognize and reward performance; and approaches targeted at enabling collaborative work and breaking power hierarchies. Our collective experiences suggest that intangible software interventions work best when they are codesigned with various stakeholders, are contextually adapted in an iterative manner and are implemented in conjunction with structural improvements. Also, such interventions require long-term investments. Based on our experiences, we highlight the need for the following: (1) fostering more dialogue on this category of interventions among all stakeholders for cross-learning; (2) evaluating and publishing evidence on such interventions in nonconventional ways, with a focus on participatory learning; and (3) building ecosystems that allow experiential learnings on such interventions to be shared.

Implementation of community based advance distribution of misoprostol in Himachal Pradesh (India): lessons and way forward.

BACKGROUND: Postpartum Hemorrhage remains the leading cause of maternal mortality. To prevent PPH, Misoprostol tablet in a dose of 600 micrograms is recommended for use immediately after childbirth in home deliveries wherein the use of oxytocin is difficult. The current article describes an implementation of "community based advance distribution of Misoprostol program" in India which aimed to design an operational framework for implementing this program. METHODS: The intervention was carried out in Janjheli block in Mandi district of the state of Himachal Pradesh which is a mountainous terrain with limited geographical access and reported 90% home deliveries in the year 2014-15. An operational framework to implement program activities was designed which was based on WHO HSS building blocks. Key implementing steps included- Ensuring local ownership through program leadership, forecasting and procurement of 600 mcg misoprostol tablets, training, branding and communication, community engagement and counselling, recording and reporting, monitoring, supportive supervision and feedback mechanisms. RESULTS: Over the one year of implementation, 512 home deliveries were reported, out of which 89% received the tablets and 84% consumed the tablet within one minute of delivery. No incidence of PPH in tablet consuming mothers was reported. On account of periodic counselling and effective community engagement the intervention also contributed to better tracking of pregnancies till delivery and institutional delivery rates which increased to 93% from 45% and 57% from 11% respectively as compared to the preceding year. CONCLUSIONS: The model has successfully shown the use of single misoprostol tablets of 600 mcg, first time in this program. We also demonstrated a HSS based operational framework, based on which the program is being scaled to additional blocks in Himachal Pradesh as well as to other states of India.

Shifting patterns and competing explanations for infectious disease priority in global health agenda setting arenas.

The highly decentralized nature of global health governance presents significant challenges to conceptualizing and systematically measuring the agenda status of diseases, injuries, risks and other conditions contributing to the collective disease burden. An arenas model for global health agenda setting was recently proposed to help address these challenges. Further developing the model, this study aims to advance more robust inquiry into how and why priority levels may vary among the array of stakeholder arenas in which global health agenda setting occurs. We analyze order and the magnitude of changes in priority for eight infectious diseases in four arenas (international aid, scientific research, pharmaceutical industry and news media) over a period of more than two decades in relation to five propositions from scholarship. The diseases vary on burden and prominence in United Nations Sustainable Development Goal 3 for health and well-being, including four with specific indicators for monitoring and evaluation (HIV/AIDS, tuberculosis, malaria, hepatitis) and four without (dengue, diarrheal diseases, measles, meningitis). The order of priority did not consistently align with the disease burden or international development goals in any arena. Additionally, using new methods to measure the scale of annual change in resource allocations that are indicative of priority reveals volatility at the disease level in all arenas amidst broader patterns of stability. Insights around long-term patterns of priority within and among arenas are integral to strengthening analyses that aim to identify pivotal causal mechanisms, to clarify how arenas interact, and to measure the effects they produce.

Coloniality, Elite Networks and Intersectionality: Key Concepts in Understanding Biomedical Power and Equity in Health Policy Processes Comment on "Power Dynamics Among Health Professionals in Nigeria: A Case Study of the Global Fund Policy Process".

To understand the role of power in health policy processes in low- and middle-income country (LMIC) contexts, it is necessary to engage with global and local power structures and their historical contexts. In this commentary, we outline three dimensions that shape a dominant power in health policy processes-the biomedical power. We propose that understanding the linkages between medical power and colonialism; the close connection of public health, medicine and elite networks; and the intersectionalities that shape the powers of medical professionals can offer the means to examine the biomedical hegemony in health policy processes. Additionally we suggest that a more nuanced understanding of the interaction of local powers with global funding can offer some entry points to achieving more equitable and interdisciplinary health policy processes in LMICs.

Longitudinal trends in the health outcomes among children of the North Eastern States of India: a comparative analysis using national DHS data from 2006 to 2020.

BACKGROUND/OBJECTIVES: Northeastern Indian region has a high density of marginalised populations with a concerning quality of health services. We observed the trends in prevalence of infectious diseases and nutritional disorders among children under-five years from 2006 to 2020 in the Northeastern states. We also assessed the distribution of their burden by place of residence. METHODS: A secondary data analysis of select indicators on infectious diseases and nutritional disorders in seven Northeastern states across three rounds of the National Family Health Survey (2005-06, 2015-16, 2019-20) was undertaken. We calculated outcome indicator mean prevalence, relative change and average annual rates of reduction of the indicators. RESULTS: A significant relative reduction between 2006-2020 in the prevalence of diarrhoea (0.4 [95CI:0.7,0.1]) at p < 0.05; acute respiratory illness (ARI) (0.7 [95CI:0.1,0.4]), stunting (0.3 [95CI: 0.3,0.12]) and underweight (0.3 [95CI:0.5,0.2]) at p < 0.001 were noted. However, overweight prevalence increased (10.1[95CI:4.3,16.0, p < 0.001]) due to a low annual reduction rate. The highest annual reduction rates were observed in Sikkim and Tripura for diarrhoea and ARI respectively (>10.0%), and in Meghalaya for wasting and severely wasting (6.3%). Rural areas had a higher burden of stunting, wasting (including severe), underweight, anaemia and diarrhoea; overweight was seen in both rural and urban settings. CONCLUSION: Significant reductions were observed in ARI, diarrhoea, stunting and underweight prevalence between 2006-2020, with sub-regional variations and a greater burden in rural areas. During this period, overweight prevalence worsened; and anaemia showed a large increase from 2016. To reduce the equity-gap, programmes should be adapted to meet the differential needs of the Northeastern states.

A Bioinformatics Tool for Predicting Future COVID-19 Waves Based on a Retrospective Analysis of the Second Wave in India: Model Development Study.

Background: Since the start of the COVID-19 pandemic, health policymakers globally have been attempting to predict an impending wave of COVID-19. India experienced a devastating second wave of COVID-19 in the late first week of May 2021. We retrospectively analyzed the viral genomic sequences and epidemiological data reflecting the emergence and spread of the second wave of COVID-19 in India to construct a prediction model. Objective: We aimed to develop a bioinformatics tool that can predict an impending COVID-19 wave. Methods: We analyzed the time series distribution of genomic sequence data for SARS-CoV-2 and correlated it with epidemiological data for new cases and deaths for the corresponding period of the second wave. In addition, we analyzed the phylodynamics of circulating SARS-CoV-2 variants in the Indian population during the study period. Results: Our prediction analysis showed that the first signs of the arrival of the second wave could be seen by the end of January 2021, about 2 months before its peak in May 2021. By the end of March 2021, it was distinct. B.1.617 lineage variants powered the wave, most notably B.1.617.2 (Delta variant). Conclusions: Based on the observations of this study, we propose that genomic surveillance of SARS-CoV-2 variants, complemented with epidemiological data, can be a promising tool to predict impending COVID-19 waves.

Application of "Actor Interface Analysis" to Examine Practices of Power in Health Policy Implementation: An Interpretive Synthesis and Guiding Steps.

BACKGROUND: The difference between 'policy as promised' and 'policy as practiced' can be attributed to implementation gaps. Actor relationships and power struggles are central to these gaps but have been studied using only a handful of theoretical and analytical frameworks. Actor interface analysis provides a methodological entry point to examine policy implementation and practices of power. As this approach has rarely been used in health policy analysis, this article aims, first, to synthesise knowledge about use of actor interface analysis in health policy implementation and, second, to provide guiding steps to conduct actor interface analysis. METHODS: We conducted an interpretive synthesis of literature using a set of 6 papers, selected using purposeful searches and focusing on actor dynamics and practices of power in policy experiences. Drawing upon the framework synthesis approach and using a guiding framework, the synthesis focused on 4 questions - the type of actor interfaces formed, the power practices observed, the effect of such power practices on implementation and the underpinning factors for the power practices. RESULTS: Multiple interface encounters and power practices were identified which included domination, control, contestation, collaborations, resistance, and negotiations. The lifeworlds of actors that underpinned the power practices, were rooted in social-organisational power relationships, personal experiences and interests, and social-ideological standpoints like values and beliefs of actors. The power practices influenced implementation both positively and negatively. CONCLUSION: Based on the learnings from synthesis, this paper provides guiding steps for conducting actor interface analysis. Additionally, it presents 2 useful tools for power analysis: (1) 'actor lifeworlds,' to understand underpinning factors for power practices and (2) relationships of lifeworlds, interface encounters and power practices with their effect on policy implementation. We suggest that interface analysis should be applied in more empirical settings and across varied health policy experiences to nuance the method better.

Power analysis in health policy and systems research: a guide to research conceptualisation.

Power is a growing area of study for researchers and practitioners working in the field of health policy and systems research (HPSR). Theoretical development and empirical research on power are crucial for providing deeper, more nuanced understandings of the mechanisms and structures leading to social inequities and health disparities; placing contemporary policy concerns in a wider historical, political and social context; and for contributing to the (re)design or reform of health systems to drive progress towards improved health outcomes. Nonetheless, explicit analyses of power in HPSR remain relatively infrequent, and there are no comprehensive resources that serve as theoretical and methodological starting points. This paper aims to fill this gap by providing a consolidated guide to researchers wishing to consider, design and conduct power analyses of health policies or systems. This practice article presents a synthesis of theoretical and conceptual understandings of power; describes methodologies and approaches for conducting power analyses; discusses how they might be appropriately combined; and throughout reflects on the importance of engaging with positionality through reflexive praxis. Expanding research on power in health policy and systems will generate key insights needed to address underlying drivers of health disparities and strengthen health systems for all.

Care Around Birth Approach: A Training, Mentoring, and Quality Improvement Model to Optimize Intrapartum and Immediate Postpartum Quality of Care in India.

BACKGROUND: With the highest risk of maternal and newborn mortality occurring during the period around birth, quality of care during the intrapartum and immediate postpartum periods is critical for maternal and neonatal survival. METHODS: The United States Agency for International Development's Scaling Up Reproductive, Maternal, Newborn, Child, and Adolescent Health Interventions project, also known as the Vriddhi project, collaborated with the national and 6 state governments to design and implement the Care Around Birth approach in 141 high caseload facilities across 26 high-priority districts of India from January 2016 to December 2017. The approach aimed to synergize evidence-based technical interventions with quality improvement (QI) processes, respectful maternity care, and health system strengthening efforts. The approach was designed using experiential training, mentoring, and a QI model. A baseline assessment measured the care ecosystem, staff competencies, and labor room practices. At endline, the approach was externally evaluated. RESULTS: Availability of logistics, recording and reporting formats, and display of protocols improved across the intervention facilities. At endline (October-December 2017), delivery and newborn trays were available in 98% of facilities compared to 66% and 55% during baseline (October-December 2015), respectively. Competency scores (> 80%) for essential newborn care and newborn resuscitation improved from 7% to 70% and from 5% to 82% among health care providers, respectively. The use of partograph in monitoring labor improved from 29% at the baseline to 61%; administration of oxytocin within 1 minute of delivery from 35% to 93%; newborns successfully resuscitated from 71% to 96%; and postnatal monitoring of mothers from 52% to 94%. CONCLUSION: The approach successfully demonstrated an operational design to improve the provision and experience of care during the intrapartum and immediate postpartum periods, thereby augmenting efforts aimed at ending preventable child and maternal deaths.

Impact of the COVID-19 pandemic on the human resources for health in India and key policy areas to build a resilient health workforce.

The COVID-19 pandemic has disrupted the already low resourced, fragmented and largely unregulated health systems in countries like India. It has only further exacerbated the stress on human resources for health (HRH) in many unanticipated ways. We explored the effect of COVID-19 pandemic on the health workforce in India, and analytically extrapolated the learnings to draw critical components to be addressed in the HRH policies, which can further be used to develop a detailed 'health workforce resilience' policy. We examined the existing literature and media reports published during the pandemic period, covering the gaps and challenges that impeded the performance of the health workers. Recommendations were designed by studying the learnings from various measures taken within India and in some other countries. We identified seven key areas that could be leveraged and improved for strengthening resilience among the health workforce. The system-level factors (at macro level) include developing a health workforce resilience policy, planning and funding for emergency preparedness, stakeholder engagement and incentivization mechanisms; the organization-level factors (meso level) include identifying HRH bench strength, mobilizing the health workforce, psycho-social support, protection from disease; and the individual-level factors (micro level) include measures around self-care by health workers. In keeping with the interdisciplinary nature of the associated factors, we emphasize on developing a future-ready health workforce using a multi-sectoral approach for building its strength and resilience.

Unpacking the implementation blackbox using 'actor interface analysis': how did actor relations and practices of power influence delivery of a free entitlement health policy in India?

Exploring the implementation blackbox from a perspective that considers embedded practices of power is critical to understand the policy process. However, the literature is scarce on this subject. To address the paucity of explicit analyses of everyday politics and power in health policy implementation, this article presents the experience of implementing a flagship health policy in India. Janani Shishu Suraksha Karyakram (JSSK), launched in the year 2011, has not been able to fully deliver its promises of providing free maternal and child health services in public hospitals. To examine how power practices, influence implementation, we undertook a qualitative analysis of JSSK implementation in one state of India. We drew on an actor-oriented perspective of development and used 'actor interface analysis' to guide the study design and analysis. Data collection included in-depth interviews of implementing actors and JSSK service recipients, document review and observations of actor interactions. A framework analysis method was used for analysing data, and the framework used was founded on the constructs of actor lifeworlds, which help understand the often neglected and lived realities of policy actors. The findings illustrate that implementation was both strengthened and constrained by practices of power at various interface encounters. The implementation decisions and actions were influenced by power struggles such as domination, control, resistance, contestation, facilitation and collaboration. Such practices were rooted in: Social and organizational power relationships like organizational hierarchies and social positions; personal concerns or characteristics like interests, attitudes and previous experiences and the worldviews of actors constructed by social and ideological paradigms like their values and beliefs. Application of 'actor interface analysis' and further nuancing of the concept of 'actor lifeworlds' to understand the origin of practices of power can be useful for understanding the influence of everyday power and politics on the policy process.

Strengthening the Use of Partograph in High Caseload Public Health Facilities in India through an Integrated Quality Improvement Approach.

BACKGROUND: The effective implementation of evidence-based practices including the use of partograph to improve maternal and newborn outcomes is critical on account of increased institutional delivery. However, despite clear guidelines, partograph use in India is not widely practiced. MATERIALS AND METHODS: Quality improvement (QI) efforts along with training and mentoring were operationalized in a total of 141 facilities across 26 high priority districts of India. Assessments were conducted across baseline, intervention period, and end line. These included reviewing the availability of partograph and staff competency in filling them at baseline and end line, as well as reviewing monthly data for use and completeness of filling. The monthly data were tabulated quarter wise to study trends. Competency scores were tabulated to show the difference across assessments. RESULTS: An overall upward trend from 29% to 61% was seen in the practice of partograph use. Simultaneously, completeness in filling up the partograph increased from 32% to 81%. Staff competency in filling partograph improved considerably: proportion of staff scoring low decreased over the intervention period from 63% to 2.5% (P < 0.0001), and the proportion scoring high increased from 13% to 72% (P < 0.0001) from baseline to end line. CONCLUSION: The integrated approach of training, mentoring, and QI can be used in similar settings to strengthen partograph use.

Implementation of "health systems approach" to improve vaccination at birth in institutional deliveries at public health facilities; experience from six states of India.

INTRODUCTION: Newborn vaccination is an integral part of routine immunization program in India, but program implementation gaps exist. The focus of this article is to identify and describe an implementation strategy which could improve the newborn vaccination at the facility level. MATERIALS AND METHODS: A situation analysis was conducted through a mixed-methods approach to identify the lacunae in the health system and the same was used to develop an implementation strategy to improve newborn vaccination coverage across the six priority states. RESULTS: Issues in stewardship and human resource, vaccine-related stock-outs, and poor service delivery were some of the reasons for low facility-level vaccination coverage. After implementation of a health system-based strategy, the new born vaccination improved from 55% to 88% across 10 quarters of program implementation. Factors such as sensitization of stakeholders, vaccination on holidays, rigorous documentation, and supportive supervision of health staff were primary reasons for improvement in service delivery. CONCLUSION: Importance of newborn immunization at birth is well established. The results from six states prove that "health systems approach" as an implementation strategy is a viable tool to improve newborn immunization at birth.