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Abstract Yield gap analysis is used to characterize the untapped production potential of cropping systems. With emerging large-n agronomic datasets and data science methods, pathways for narrowing yield gaps can be identified that provide actionable insights into where and how cropping systems can be sustainably intensified. Here we characterize the contributing factors to rice yield gaps across seven Indian states, with a case study region used to assess the power of intervention targeting. Primary yield constraints in the case study region were nitrogen and irrigation, but scenario analysis suggests modest average yield gains with universal adoption of higher nitrogen rates. When nitrogen limited fields are targeted for practice change (47% of the sample), yield gains are predicted to double. When nitrogen and irrigation co-limitations are targeted (20% of the sample), yield gains more than tripled. Results suggest that analytics-led strategies for crop intensification can generate transformative advances in productivity, profitability, and environmental outcomes.

Abstract Background Kerala, a southern state in India, is known to be atypical due to its high literacy rate and advanced social development indicators. Facing competition from a dominant private healthcare system, recent government health system reforms have focused on providing free, high-quality universal healthcare in the public sector. We carried out an analysis to ascertain the initial impacts of these measures among ‘hard to reach groups’ as part of a larger health policy and systems research study, with a focus on public sector health service utilisation. Methods We conducted Focus Group Discussions (FGDs) among identified vulnerable groups across four districts of Kerala between March and August of 2022. The FGDs explored community perspectives on the use of public healthcare facilities including enablers and barriers to healthcare access. Transliterated English transcripts were coded using ATLAS.ti software and thematically analyzed using the AAAQ framework, supplemented with inductive code generation. Results A total of 34 FGDs were conducted. Availability and cost-effectiveness were major reasons for choosing public healthcare, with the availability of public insurance in inpatient facilities influencing this preference. However, accessibility of public sector facilities posed challenges due to long journeys and queues. Uneven roads and the non-availability of public transport further restricted access. Gaps in acceptability were also observed: participants noted the need for the availability of special treatments available, reduced waiting times for special groups like those from tribal communities or the elderly mindful of their relatively greater travel and need for prompt care. Although quality improvements resulting from health reform measures were acknowledged, participants articulated the need for further enhancements in the availability and accessibility of services so as to make public healthcare systems truly acceptable. Conclusion The ‘Kerala Model of Development’ has been applauded internationally for its success in recent years. However, this has not inured the state from the typical barriers to public sector health care use articulated by participants in the study, which match global evidence. In order to deepen the impact of public sector reforms, the state must try to meet service user expectations– especially among those left behind. This requires attention to quality, timeliness, outreach and physical access. Longer term impacts of these reforms – as we move to a post-COVID scenario - should also be evaluated.

Abstract Background The People’s Planning Campaign (PPC) in the southern Indian state of Kerala started in 1996, following which the state devolved functions, finances, and functionaries to Local Self-Governments (LSGs). The erstwhile National Rural Health Mission (NRHM), subsequently renamed the National Health Mission (NHM) was a large-scale, national architectural health reform launched in 2005. How decentralisation and NRHM interacted and played out at the ground level is understudied. Our study aimed to fill this gap, privileging the voices and perspectives of those directly involved with this history. Methods We employed the Witness Seminar (WS), an oral history technique where witnesses to history together reminisce about historical events and their significance as a matter of public record. Three virtual WS comprised of 23 participants (involved with the PPC, N(R)HM, civil society, and the health department) were held from June to Sept 2021. Inductive thematic analysis of transcripts was carried out by four researchers using ATLAS. ti 9. WS transcripts were analyzed using a realist approach, meaning we identified Contexts, Mechanisms, and Outcomes (CMO) characterising NRHM health reform in the state as they related to decentralised planning. Results Two CMO configurations were identified, In the first one, witnesses reflected that decentralisation reforms empowered LSGs, democratised health planning, brought values alignment among health system actors, and equipped communities with the tools to identify local problems and solutions. Innovation in the health sector by LSGs was nurtured and incentivised with selected programs being scaled up through N(R)HM. The synergy of the decentralised planning process and N(R)HM improved health infrastructure, human resources and quality of care delivered by the state health system. The second configuration suggested that community action for health was reanimated in the context of the emergence of climate change-induced disasters and communicable diseases. In the long run, N(R)HM’s frontline health workers, ASHAs, emerged as leaders in LSGs. Conclusion The synergy between decentralised health planning and N(R)HM has significantly shaped and impacted the health sector, leading to innovative and inclusive programs that respond to local health needs and improved health system infrastructure. However, centralised health planning still belies the ethos and imperative of decentralisation – these contradictions may vex progress going forward and warrant further study.

Abstract Background Publicly Funded Health Insurance Schemes (PFHIS) are intended to play a role in achieving Universal Health Coverage (UHC). In countries like India, PFHISs have low penetrance and provide limited coverage of services and of family members within households, which can mean that women lose out. Gender inequities in relation to financial risk protection are understudied. Given the emphasis being placed on achieving UHC for all in India, this paper examined intersecting gender inequalities and changes in PFHIS coverage in southern India, where its penetrance is greater and of longer duration. Data and methods This study used the fourth (NFHS-4, 2015–16) and fifth (NFHS-5, 2019–21) rounds of India’s National Family Health Survey for five southern states: namely, Andhra Pradesh, Karnataka, Kerala, Tamil Nadu, and Telangana. The World Health Organization’s Health Equity Assessment Toolkit (HEAT) Plus and Stata were used to analyse PFHIS coverage disaggregated by seven dimensions of inequality. Ratios and differences for binary dimensions; Between Group Variance and Theil Index for unordered dimensions; Absolute and Relative Concentration Index (RCI) for ordered dimensions were computed separately for women and men. Results Overall, PFHIS coverage increased significantly (p

BackgroundAccredited Social Health Activists (ASHA) are Community Health Workers (CHWs) employed by the National Health Mission of the Government of India to link the population to health facilities and improve maternal and child health outcomes in the country. The government of Kerala launched primary health reform measures in 2016 whereby Primary Health Centres (PHCs) were upgraded to Family Health Centres (FHCs). The COVID-19 pandemic in 2020 impacted essential health service delivery, including primary care services. The CHWs network of Kerala played a crucial role in implementing the primary care reforms and COVID-19 management efforts that followed. We carried out a study to understand the perspectives of the CHWs in Kerala about their role in the recent primary healthcare reforms and during the COVID-19 pandemic management efforts.MethodsWe conducted in-depth interviews (IDI) with 16 ASHAs from 8 primary care facilities in Kerala from July to October 2021. We further conducted Focus Group Discussions (FGDs) (N = 34) with population subgroups in these eight facility catchment areas and asked their opinion about the ASHAs working in their community. We obtained written informed consent from all the participants, and interview transcripts were thematically analysed by a team of four researchers using ATLAS.ti 9 software.ResultsOur study participants were women aged about 45 years with over 10 years of work experience as CHWs. Their job responsibilities as a frontline health worker helped them build trust in the community and local self-governments. CHWs were assigned roles of outpatient crowd management, and registration duties in FHCs. The COVID-19 pandemic increased their job roles manifold. Community members positively mentioned the home visits, delivery of medicines, and emotional support offered by the CHWs during the pandemic. The CHWs noted that the honorarium of INR 6,000 (US$73) was inconsistent and very low for the volume of work done.ConclusionThe CHWs in Kerala play a crucial role in primary care reforms and COVID-19 management. Despite their strong work ethic and close relationship with local self-governments, low and irregular wages remain the biggest challenge.

Abstract Background Increasing financial risk protection is a key feature of Universal Health Coverage and the path towards health for all. Publicly Funded Health Insurance Schemes (PFHIS) have been considered as one of the pathways to safeguard against financial shocks and potentially reduce Out-of-Pocket Expenditure (OOPE). The south Indian state of Kerala has roughly a decade-long experience in implementing PFHIS. To date, there have been very few assessments of the coverage of these schemes and their impact on expenditure. Aiming to fill this gap, we explored the extent of and inequalities in insurance coverage, as well as choice of providers, and median cost of hospitalization in Kerala among insured and uninsured individuals. Methods A cross-sectional household survey was conducted in four districts of Kerala as part of a larger health systems research study from July–October 2019. We employed multistage random sampling to collect data from 13,064 individuals covering 3234 households in the catchment area of eight primary health care facilities. We used descriptive statistics, bivariate and multivariate analysis. We evaluated socioeconomic disparities using an absolute measure of inequality—the Slope Index of Inequality (SII) and a relative measure—the Relative Concentration Index (RCI). Results A substantial proportion of our study respondents reported that they were covered by PFHIS (45.8%). Respondents belonging to lowest and middle wealth quintiles of household had significantly greater odds of being covered by insurance than respondents belonging to the richest wealth quintile. The negative magnitude of RCI [-16.8% (95%CI: -25.3, -8.4)] and SII [-21.5% (95%CI: -36.1, -7.0)] suggest a higher concentration of PFHIS coverage among the poor. Median OOPE for hospitalisation at private health facilities was INR 9000 (approx. USD 108.70) among those covered by PFHIS, whereas it was INR 10500 (approx. USD 126.82) at private health facilities among those not covered by insurance. Conclusion While PFHIS seems to be appropriately targeting poorer populations, among the insured, OOPE for hospitalization persists. Among the uninsured, population subgroups with advantage are spending the greatest amount, raising questions about whether those facing relative disadvantage are forgoing care altogether or seeking care using cheaper, public avenues. Further policy action to more effectively reduce financial burden among left behind eligible populations under PFHIS will be essential to UHC progress in the state.

ContextAgricultural field experiments are costly and time-consuming, and their site-specific nature limits their ability to capture spatial and temporal variability. This hinders the transfer of crop management information across different locations, impeding effective agricultural decision-making. Further, accurate estimates of the benefits and risks of alternative crop and nutrient management options are crucial for effective decision-making in agriculture.ObjectiveThe objective of this study was to utilize the Crop Environment Resource Synthesis CERES-Wheat model to simulate crop growth, yield, and nitrogen dynamics in a long-term conservation agriculture (CA) based wheat system. The study aimed to calibrate the model using data from a field experiment conducted during the 2019-20-2020-21 growing seasons and evaluation it with independent data from the year 2021–22.MethodCrop simulation models, such as the Crop Environment Resource Synthesis CERES-Wheat (DSSAT v 4.8), may provide valuable insights into crop growth and nitrogen dynamics, enabling decision makers to understand and manage production risk more effectively.Therefore, the present study employed the CERES-Wheat (DSSAT v 4.8) model and calibrated it using field data, including plant phenological phases, leaf area index, aboveground biomass, and grain yield from the 2019-20-2020-21 growing seasons. An independent dataset from the year 2021–22 was used for model evaluation. The model was used to investigate the relationship between growing degree days (GDD), temperature, nitrate and ammonical concentration in soil, and nitrogen uptake by the crop. Additionally, the study explored the impact of contrasting tillage practices and fertilizer nitrogen management options on wheat yields. The experimental site is situated at ICAR-Indian Agricultural Research Institute (IARI), New Delhi, representing Indian Trans-Gangetic Plains Zone (28o 40’N latitude, 77o 11’E longitude and an altitude of 228 m above sea level). The treatments consist of four nitrogen management options, viz., N0 (zero nitrogen), N150 (150 kg N ha−1 through urea), GS (Green seeker based urea application) and USG (urea super granules @150 kg N ha−1) in two contrasting tillage systems, i.e., CA-based zero tillage (ZT) and conventional tillage (CT).ResultThe outcomes exhibited favorable agreement between the model’s simulations and the observed data for crop phenology (With less than 2 days variation in 50% onset of flowering), grain and biomass yield (Root mean square error; RMSE 336 kg ha−1 and 649 kg ha−1, respectively), and leaf area index (LAI) (RMSE 0.28 & normalized RMSE; nRMSE 6.69%). The model effectively captured the nitrate-N (NO3−-N) dynamics in the soil profile, exhibiting a remarkable concordance with observed data, as evident from its low RMSE = 12.39 kg ha−1 and nRMSE = 13.69%. Moreover, as it successfully simulated the N balance in the production system, the nitrate leaching and ammonia volatilization pattern as described by the model are highly useful to understand these critical phenomena under both conventional tillage (CT) and CA-based Zero Tillage (ZT) treatments.ConclusionThe study concludes that the DSSAT-CERES-Wheat model has significant potential to assess the impacts of tillage and nitrogen management practices on crop growth, yield, and soil nitrogen dynamics in the western Indo-Gangetic Plains (IGP) region. By providing reliable forecasts within the growing season, this modeling approach can facilitate better planning and more efficient resource management.Future implicationsThe successful implementation of the DSSAT-CERES-Wheat model in this study highlights its applicability in assessing crop performance and soil dynamics. Future research should focus on expanding the model’s capabilities by reducing its sensitivity to initial soil nitrogen levels to refine its predictions further. Moreover, the model’s integration with decision support systems and real-time data can enhance its usefulness in aiding agricultural decision-making and supporting sustainable crop management practices.

Abstract Background Among the core principles of the 2030 agenda of Sustainable Development Goals (SDGs) is the call to Leave no One behind (LNOB), a principle that gained resonance as the world contended with the COVID-19 pandemic. The south Indian state of Kerala received acclaim globally for its efforts in managing COVID-19 pandemic. Less attention has been paid, however, to how inclusive this management was, as well as if and how those “left behind” in testing, care, treatment, and vaccination efforts were identified and catered to. Filling this gap was the aim of our study. Methods We conducted In-depth interviews with 80 participants from four districts of Kerala from July to October 2021. Participants included elected local self-government members, medical and public health staff, as well as community leaders. Following written informed consent procedures, each interviewee was asked questions about whom they considered the most “vulnerable” in their areas. They were also asked if there were any special programmes/schemes to support the access of “vulnerable” groups to general and COVID related health services, as well as other needs. Recordings were transliterated into English and analysed thematically by a team of researchers using ATLAS.ti 9.1 software. Results The age range of participants was between 35 and 60 years. Vulnerability was described differentially by geography and economic context; for e.g., fisherfolk were identified in coastal areas while migrant labourers were considered as vulnerable in semi-urban areas. In the context of COVID-19, some participants reflected that everyone was vulnerable. In most cases, vulnerable groups were already beneficiaries of various government schemes within and beyond the health sector. During COVID, the government prioritized access to COVID-19 testing and vaccination among marginalized population groups like palliative care patients, the elderly, migrant labourers, as well as Scheduled Caste and Scheduled Tribes communities. Livelihood support like food kits, community kitchen, and patient transportation were provided by the LSGs to support these groups. This involved coordination between health and other departments, which may be formalised, streamlined and optimised in the future. Conclusion Health system actors and local self-government members were aware of vulnerable populations prioritized under various schemes but did not describe vulnerable groups beyond this. Emphasis was placed on the broad range of services made available to these “left behind” groups through interdepartmental and multi-stakeholder collaboration. Further study (currently underway) may offer insights into how these communities – identified as vulnerable – perceive themselves, and whether/how they receive, and experience schemes designed for them. At the program level, inclusive and innovative identification and recruitment mechanisms need to be devised to identify populations who are currently left behind but may still be invisible to system actors and leaders.

Abstract Background In 2016, the Government of the southern Indian state of Kerala launched the Aardram mission, a set of reforms in the state’s health sector with the support of Local Self Governments (LSG). Primary Health Centres (PHCs) were slated for transformation into Family Health Centres (FHCs), with extended hours of operation as well as improved quality and range of services. With the COVID-19 pandemic emerging soon after their introduction, we studied the outcomes of the transformation from PHC to FHC and how they related to primary healthcare service delivery during COVID-19. Methods A qualitative study was conducted using In-depth interviews with 80 health system actors (male n = 32, female n = 48) aged between 30–63 years in eight primary care facilities of four districts in Kerala from July to October 2021. Participants included LSG members, medical and public health staff, as well as community leaders. Questions about the need for primary healthcare reforms, their implementation, challenges, achievements, and the impact of COVID-19 on service delivery were asked. Written informed consent was obtained and interview transcripts – transliterated into English—were thematically analysed by a team of four researchers using ATLAS.ti 9 software. Results LSG members and health staff felt that the PHC was an institution that guarantees preventive, promotive, and curative care to the poorest section of society and can help in reducing the high cost of care. Post-transformation to FHCs, improved timings, additional human resources, new services, fully functioning laboratories, and well stocked pharmacies were observed and linked to improved service utilization and reduced cost of care. Challenges of geographical access remained, along with concerns about the lack of attention to public health functions, and sustainability in low-revenue LSGs. COVID-19 pandemic restrictions disrupted promotive services, awareness sessions and outreach activities; newly introduced services were stopped, and outpatient numbers were reduced drastically. Essential health delivery and COVID-19 management increased the workload of health workers and LSG members, as the emphasis was placed on managing the COVID-19 pandemic and delivering essential health services. Conclusion Most of the health system actors expressed their belief in and commitment to primary health care reforms and noted positive impacts on the clinical side with remaining challenges of access, outreach, and sustainability. COVID-19 reduced service coverage and utilisation, but motivated greater efforts on the part of both health workers and community representatives. Primary health care is a shared priority now, with a need for greater focus on systems strengthening, collaboration, and primary prevention.

Introduction: Kerala, a south Indian state, has often been cited globally as a model for better health outcomes at low cost but faces unique challenges in achieving Universal Health Coverage (UHC). To propel the efforts in achieving UHC, the Government of Kerala announced the “Aardram” health reform initiative, emphasising improving the quality of primary care service delivery. The reforms started in 2017, and in the first stage, 170 of 848 Primary Health Centres (PHCs) were upgraded to Family Health Centres (FHCs). The facilities were provided with additional doctors, nurses, and paramedical staff; the working hours were extended, and the range of services offered increased. In support of these processes, we carried out a facility assessment to assess differences between upgraded FHCs and existing PHCs. Materials and Methods: We conducted a facility-based cross-sectional assessment in eight primary care facilities of Kerala, FHC (N=4) and PHCs (N=4) from June to October 2019. A structured questionnaire covering utilisation and coverage of selected priority services for various populations and health outcome data was filled out by health staff to report data for the financial year 2018-19. Data were analysed in Microsoft Excel spreadsheets for easy analysis and replication by state stakeholders. Results: Coverage indicators such as full antenatal care and full immunization coverage were not appreciably different in FHCs as compared to PHCs. However, key reform-related differences were observed. On average, FHCs had 0.8 medical officers and one staff nurse per 10,000 population, whereas PHCs had 0.7 medical officers and less than 0.4 staff nurses per 10,000 population, even as the size of populations served by these human resources varied greatly across both types of facilities. The number of outpatient department visits per 10,000 population annually was 11,343 persons in FHCs and 9,580 persons in PHCs. FHCs also provided additional services such as screening for depression and chronic obstructive pulmonary disorders. Conclusion: Aardram primary healthcare reforms are still in their early days and appear to be associated with improved service coverage at the institutional level. However, some patterns are uneven: reforms should be carefully documented, and population-level impacts monitored over time.

Abstract Background The COVID-19 pandemic has helped shine the spotlight on the role of women’s leadership in tackling the world’s health and health system challenges. The proportion of women occupying senior leadership positions in the health sector is less compared to males, even as they constitute a vast majority of the work force. The South Indian state of Kerala is an exception to this trend, a phenomenon that we sought to understand and contextualise. We undertook a study to understand the personal and professional journeys of some women leaders in the Kerala health sector to determine the antecedents of their leadership positions, the challenges that came their way in leadership, and strategies adopted to overcome these challenges. We also investigated into how these experiences shaped their styles and approaches to leadership. Methods We conducted a qualitative study involving semi-structured in-depth interviews with women leaders. Sixteen women leaders were identified from public records and through peer nomination and interviewed in their language of preference following written informed consent procedures. Interviews focused on participants’ professional and personal trajectories, work-life balance, style of leadership, challenges, enablers, lessons learned in their path, and their vision for the health system. The interviews conducted in Malayalam were transliterated into English and thematically analysed using Atlas.Ti8 software by three researchers. Results Our study participants were aged 40 to around 80 years, from 8 out of 14 districts of the state. Women leaders in Kerala’s health sector faced challenges through the life-course: during their early school education, in professional service as well as in their roles as leaders. There were myriad experiences – including gender stereotyping and discrimination at the intersection of gender and other social identities. Women developed manifold ways of overcoming them and evolve unique – and again myriad—leadership styles. Conclusions Women leaders in Kerala have faced shared challenges through their life-course to climb up the ranks of leadership; each leader has adopted unique ways of overcoming them and developed similarly unique leadership styles. At each life stage there were bargains with patriarchy – involving family members (often as allies), against formal and informal institutional rules, managers, peers and subordinates., which in turn suggests a feminist consciousness on the part of Kerala women leaders as well as the society in which they are seeking to lead.

Abstract Background Non-Communicable Diseases (NCDs) constitute a significant danger to the nation’s public health system, both in terms of morbidity and mortality, as well as the financial burden they inflict. Kerala is undergoing an epidemiologic transition, which has significantly impacted the state’s morbidity and mortality figures. For decades, the state has been putting in place myriad programs to reduce the burden of NCDs across population groups. Socioeconomic inequalities in NCD testing have been documented in India, although they are understudied in Kerala. The study aimed to estimate and characterize districtwise socioeconomic inequality in Blood Pressure (BP) and Blood Glucose (BG) testing. Methods A cross-sectional household survey was conducted between July–October 2019 in Kasaragod, Alappuzha, Kollam and Thiruvananthapuram districts of Kerala, India. A total of 6383 participants aged 30 years and above were interviewed using multistage random sampling. Descriptive statistics were derived district-wise. We computed ratios, differences, equiplots, and Erreygers concentration indices for each district to measure socioeconomic inequality in BP and BG testing. Erreygers decomposition techniques were used to estimate the relative contribution of covariates to socioeconomic inequality. Results There was a significant concentration of BP and BG testing favouring wealthier quintiles in Alappuzha, Kollam, and Thiruvananthapuram districts. The inequality in BP and BG testing was highest in Thiruvananthapuram (0.087 and 0.110), followed by Kollam (0.077 and 0.090), Alappuzha (0.083 and 0.073) and Kasaragod (0.026 and 0.056). Decomposition analysis revealed that wealth quintile and education contributed substantially to socioeconomic inequality in BP and BG testing in all four districts. It was also found that family history of NCDs significantly contributed to observed socioeconomic inequality in BP testing (29, 11, 16, and 27% in Kasaragod, Alappuzha, Kollam, and Thiruvananthapuram, respectively). Similarly, in BG testing, family history of NCDs substantially contributed to observed socioeconomic inequality, explaining 16–17% in Kasaragod, Alappuzha, Kollam, and Thiruvananthapuram respectively of the total inequality. Conclusion While the magnitude of socioeconomic inequality in NCD risk factor testing did not appear to be very high in four Kerala districts, although levels were statistically significant in three of them. Greater exploration is needed on how education and caste contribute to these inequalities and their relationship to NCD risk factors such as family history. From such analyses, we may be able to identify entry points to mitigate inequalities in testing access, as well as burden.

IntroductionConventional rice production techniques are less economical and more vulnerable to sustainable utilization of farm resources as well as significantly contributed GHGs to atmosphere.MethodsIn order to assess the best rice production system for coastal areas, six rice production techniques were evaluated, including SRI-AWD (system of rice intensification with alternate wetting and drying (AWD)), DSR-CF (direct seeded rice with continuous flooding (CF)), DSR-AWD (direct seeded rice with AWD), TPR-CF (transplanted rice with CF), TPR-AWD (transplanted rice with AWD), and FPR-CF (farmer practice with CF). The performance of these technologies was assessed using indicators such as rice productivity, energy balance, GWP (global warming potential), soil health indicators, and profitability. Finally, using these indicators, a climate smartness index (CSI) was calculated.Results and discussionRice grown with SRI-AWD method had 54.8 % higher CSI over FPR-CF, and also give 24.5 to 28.3% higher CSI for DSR and TPR as well. There evaluations based on the climate smartness index can provide cleaner and more sustainable rice production and can be used as guiding principle for policy makers.

Abstract Background Non-Communicable Diseases (NCDs) are among India’s top burdens, particularly in states like Kerala, which is at an advanced stage of the epidemiological transition. Evidence in India points towards intersectional inequalities in risk factors of NCDs and testing, both of which are understudied in Kerala. We estimated the self-reported testing and prevalence of key NCD risk factors—blood pressure (BP) and blood glucose (BG) comparing Kerala men and women across educational, wealth, religion, as well as caste and tribal status subgroups. Method A multistage random sample survey of 3398 women and 2982 men aged 30 years and over was administered in 4 districts of Kerala from July to October 2019. Descriptive analysis for men and women was undertaken using survey weights. Slope index of Inequality and Relative Concentration Index for wealth and education related inequalities, and, Weighted Mean Difference from Mean and Index of Disparity for caste and tribal status, as well as religion related inequalities were calculated using World Health Organisation’s Health Equity Assessment Toolkit Plus and Stata 12. Results A significantly higher proportion of women reported BP and BG testing by medical personnel in the previous year than men (BP Testing among Women (BPTw): 90.3% vs BP Testing among Men (BPTM):80.8%, BG Testing among Women (BGTw): 86.2% vs BG Testing among Women (BGTM):78.3%). Among those tested, more women (11.2%) than men (7.9%) reported High Blood Pressure (HBP) but not High Blood Glucose (HBG). Testing for BP was concentrated among less-educated women while BG testing was concentrated among both less educated women and men. HBP and HBG were concentrated among less educated and wealthier groups. Although sex differences were insignificant across caste and tribal status and religion subgroups, magnitude of inequalities was high for HBP and HBG. Conclusion Distinct patterns of sex inequalities were present in self-reported testing and prevalence of NCD risk factors in Kerala. Education and wealth seem to be associated with testing while prevalence appeared to vary by religious groups. Given the low rates of illiteracy, it is encouraging but maybe a data artefact that a small population of less-educated persons was getting tested; however, exclusion of poor groups and inequalities by other dimensions raise concerns. Further exploration is needed to understand underlying mechanisms of these inequalities to ensure we leave no one behind.

BackgroundKerala, a south Indian state, has a long and strong history of mobilisation of people's participation with institutionalised mechanisms as part of decentralisation reforms introduced three decades ago. This history formed the backdrop of the state's COVID-19 response from 2020 onwards. As part of a larger health equity study, we carried out an analysis to understand the contributions of people's participation to the state's COVID-19 response, and what implications this may have for health reform as well as governance more broadly.MethodsWe employed in-depth interviews with participants from four districts of Kerala between July and October, 2021. Following written informed consent procedures, we carried out interviews of health staff from eight primary health care centres, elected Local Self Government (LSG, or Panchayat) representatives, and community leaders. Questions explored primary health care reforms, COVID responses, and populations left behind. Transliterated English transcripts were analysed by four research team members using a thematic analysis approach and ATLAS.ti 9 software. For this paper, we specifically analysed codes and themes related to experiences of community actors and processes for COVID mitigation activities.ResultsA key feature of the COVID-19 response was the formation of Rapid Response Teams (RRTs), groups of lay community volunteers, who were identified and convened by LSG leaders. In some cases, pre-pandemic 'Arogya sena' (health army) community volunteer groups were merged with RRTs. RRT members were trained and supported by the health departments at the local level to distribute medicine and essential items, provided support for transportation to health facilities, and assisted with funerary rites during lockdown and containment period. RRTs often comprised youth cadres of ruling and opposition political parties. Existing community networks like Kudumbashree (Self Help Groups) and field workers from other departments have supported and been supported by RRTs. As pandemic restrictions eased, however, there was concern about the sustainability of this arrangement as well.ConclusionParticipatory local governance in Kerala allowed for the creation of invited spaces for community participation in a variety of roles as part of the COVID 19 response, with manifest impact. However, the terms of engagement were not decided by communities, nor were they involved more deeply in planning and organising health policy or services. The sustainability and governance features of such involvement warrant further study.

IntroductionIndia's Pradhan Mantri Jan Arogya Yojana (PM-JAY) is the world's largest health assurance scheme providing health cover of 500,000 INR (about USD 6,800) per family per year. It provides financial support for secondary and tertiary care hospitalization expenses to about 500 million of India's poorest households through various insurance models with care delivered by public and private empanelled providers. This study undertook to describe the provider empanelment of PM-JAY, a key element of its functioning and determinant of its impact.MethodsWe carried out secondary analysis of cross-sectional administrative program data publicly available in PM-JAY portal for 30 Indian states and 06 UTs. We analysed the state wise distribution, type and sector of empanelled hospitals and services offered through PM-JAY scheme across all the states and UTs.ResultsWe found that out of the total facilities empanelled (N = 20,257) under the scheme in 2020, more than half (N = 11,367, 56%) were in the public sector, while 8,157 (40%) facilities were private for profit, and 733 (4%) were private not for profit entities. State wise distribution of hospitals showed that five states (Karnataka (N = 2,996, 14.9%), Gujarat (N = 2,672, 13.3%), Uttar Pradesh (N = 2,627, 13%), Tamil Nadu (N = 2315, 11.5%) and Rajasthan (N = 2,093 facilities, 10.4%) contributed to more than 60% of empanelled PMJAY facilities: We also observed that 40% of facilities were offering between two and five specialties while 14% of empanelled hospitals provided 21-24 specialties.ConclusionA majority of the hospital empanelled under the scheme are in states with previous experience of implementing publicly funded health insurance schemes, with the exception of Uttar Pradesh. Reasons underlying these patterns of empanelment as well as the impact of empanelment on service access, utilisation, population health and financial risk protection warrant further study. While the inclusion and regulation of the private sector is a goal that may be served by empanelment, the role of public sector remains critical, particularly in underserved areas of India.

In line with the Sustainable Development Goals (SDGs) and the target for achieving Universal Health Coverage (UHC), state level initiatives to promote health with "no-one left behind" are underway in India. In Kerala, reforms under the flagship Aardram mission include upgradation of Primary Health Centres (PHCs) to Family Health Centres (FHCs, similar to the national model of health and wellness centres (HWCs)), with the proactive provision of a package of primary care services for the population in an administrative area. We report on a component of Aardram's monitoring and evaluation framework for primary health care, where tracer input, output, and outcome indicators were selected using a modified Delphi process and field tested. A conceptual framework and indicator inventory were developed drawing upon literature review and stakeholder consultations, followed by mapping of manual registers currently used in PHCs to identify sources of data and processes of monitoring. The indicator inventory was reduced to a list using a modified Delphi method, followed by facility-level field testing across three districts. The modified Delphi comprised 25 participants in two rounds, who brought the list down to 23 approved and 12 recommended indicators. Three types of challenges in monitoring indicators were identified: appropriateness of indicators relative to local use, lack of clarity or procedural differences among those doing the reporting, and validity of data. Further field-testing of indicators, as well as the revision or removal of some may be required to support ongoing health systems reform, learning, monitoring and evaluation.

Background: There was an outbreak of acute hepatitis in Mylapore village, Kollam district, Kerala, southern India during February to June 2013. An outbreak investigation was initiated with the objective of describing the epidemiological features of the hepatitis outbreak. Materials and Methods: House-to-house visits were undertaken to identify symptomatic cases. The outbreak was described in terms of person, place and time. Hypothesis was generated based on findings from descriptive study, laboratory investigation of water samples, and environmental observations. A case-control study was designed to test the hypothesis. Chi-square test, univariate analysis, and logistic regression to identify the risk factors associated with hepatitis A infection were done. Results: Line list generated consisted of 45 cases. Attack rate was the highest among the age group 15-24 years (4.6%) followed by 5-14 years (3.1%). The geographical distribution of the cases suggested a clustering around the water supply through the pipeline and epidemic curve showed a sharp rise in cases suggestive of a common source outbreak. Water samples collected form pipeline showed evidence of fecal contamination and absence of residual chlorine. In the case-control study, having consumed water from the pipeline (odds ratio: 9.01 [95% confidence interval: 2.16-37.61]) was associated with the hepatitis A cases. Conclusion: The time frame of disease occurrence, environmental observations, anecdotal evidences, laboratory results and results of the analytical study indicated the possibility of occurrence of hepatitis A outbreak as a result of pipe water contamination supplied from a bore well. The study warrants establishment of an efficient water quality surveillance system.

The synthesis of amides holds great promise owing to their impeccable contributions as building blocks for highly valued functional derivatives. Herein, we disclose the design, synthesis and crystal structure of a mixed-ligand ruthenium(II) complex, [Ru(η6-Cym)(O,O-PLY)Cl], (1) where Cym = 1-isopropyl-4-methyl-benzene and O,O-PLY = deprotonated form of 9-hydroxy phenalenone (HO,O-PLY). The complex catalyzes the aerobic oxidation of various primary amines (RCH2NH2) to value-added amides (RCONH2) with excellent selectivity and efficiency under relatively mild conditions with common organic functional group tolerance. Structural, electrochemical, spectroscopic, and computational studies substantiate that the synergism between the redox-active ruthenium and π-Lewis acidic PLY moieties facilitate the catalytic oxidation of amines to amides. Additionally, the isolation and characterization of key intermediates during catalysis confirm two successive dehydrogenation steps leading to nitrile, which subsequently transform to the desired amide through hydration. The present synthetic approach is also extended to substitution-dependent tuning at PLY to tune the electronic nature of 1 and to assess substituent-mediated catalytic performance. The effect of substitution at the PLY moiety (5th position) leads to structural isomers, which were further evaluated for the catalytic transformations of amine to amides under similar reaction conditions. [ABSTRACT FROM AUTHOR]

Lead-free (Bi1-x Hox)0.5Na0.5TiO3 (0.00 ⩽ x ⩽ 0.06) i.e., BHNT ferroelectric material was prepared by conventional solid-state reaction method. X-ray diffraction pattern revealed the production of a single-phase compound with a rhombohedral crystal structure for all compositions. The FESEM micrographs demonstrate that adding even a modest amount of Ho2O3 can clearly alter the microstructure. The temperature-dependent dielectric data demonstrates that the depolarization temperature (Td) decreases, whereas the temperature corresponding to maximum dielectric permittivity (Tm) increases with the rise in Ho content. Impedance spectroscopy and electrical modulus analysis have been used to investigate the electrical conduction process. Using Arrhenius' equation, the activation energy is calculated as a function of the temperature for all the samples as a function of temperature. It has been predicted that the addition of Ho2O3 would compensate the volatilization of Bi2O3 and/or Na2CO3 due to the increase in activation energy. These results demonstrate that BHNT ceramic is a strong competitor as a sustainable and multipurpose material. [ABSTRACT FROM AUTHOR]