Community health workers to reduce unmet surgical needs in an urban slum in India: an implementation study.

BACKGROUND: The Surgical Accredited & Trained Healthcare Initiative (SATHI) project demonstrates how community healthcare workers (CHWs) with merely 8 y of formal schooling and training for a short period can reduce unmet surgical needs. METHODS: A pilot study was carried out in the slums of a metropolitan city in India to know the effectiveness of a SATHI in reducing the burden of unmet surgical needs. In total, 12 730 people from 3000 households were included in the study for a duration of 6 months. RESULTS: We found 10% surgical needs (n=293) out of which 57% had unmet surgical needs. Out of total surgical needs, about half of the needs were cataract and abdominal, followed by extremities and chest conditions. SATHIs were able to convert 99 patients (60%) from unmet to met needs, who underwent surgery/treatment. The conversion from unmet to met among all surgery needs was highest for abdominal conditions (29%) followed by cataracts (17%). CONCLUSIONS: SATHIs with short training can reduce the burden of unmet surgical needs. SATHIs were able to convert a significant proportion of unmet to met needs by trust building, facilitating access to healthcare and ensuring post-operative adherence. Scaling up could help in the achievement of equitable healthcare across India.

Unmet Surgical Needs and Trust Deficit in Marginalized Communities in India: A Comparative Cross-Sectional Survey.

INTRODUCTION: We carried out a household study of surgical unmet needs and trust in the physician and perception of quality in the health system in a rural Tribal area and an urban slum in India. METHODS: A community-based, cross-sectional study was carried out in a Tribal and in an urban slum in Gujarat, India. We surveyed 7914 people in 2066 households in urban slum and 5180 people of 1036 households in rural Tribal area. The Surgeons Overseas Assessment of Surgical need was used to identify surgical met and unmet needs. Two instruments for trust deficit 'the Socio-culturally Competent Trust in Physician Scale for a Developing Country Setting' and 'Patient perceptions of quality' were also administered to understand perception about healthcare. Frequencies and proportions (categorical variable) summarized utilization of surgical services and surgical needs. P < 0.05 was statistically significant. RESULTS: Slums and Tribal areas were significantly different in sociodemographic indicators. Unmet surgical needs in Tribal area were less than 5% versus 39% in the urban slum. Major need of surgery in Tribal area was for eye conditions in older population, while surgical conditions in extremities and abdomen were predominant in the urban area. Trust level was high for physicians in both areas. CONCLUSIONS: Surgical unmet needs were significantly lower in Tribal versus urban area, possibly due to high priority given by the Indian government to alleviate poverty, social deprivation and participation of NGOs. Our study will give impetus to study unmet surgical needs and formulation of health policies in India and low-and-middle- income countries.

Evaluation of a virtual, simulated international public health peer-to-peer exchange learning experience.

Introduction: Public Health's (PH) global rise is accompanied by an increasing focus on training the new generation of PH graduates in interdisciplinary skills for multisectoral and cross-cultural engagement to develop an understanding of commonalities in health system issues and challenges in multi-cultural settings. Online teaching modalities provide an opportunity to enhance global health skill development through virtual engagement and peer exchange. However, current teaching pedagogy is limited in providing innovative modes of learning global health issues outside of traditional classroom settings with limited modalities of evidence-informed implementation models. Methods: This study designed, implemented, and evaluated a novel global health online synchronous module as proof of concept that incorporated elements of virtual Practice-based learning (PBL) using a case study approach offered to currently enrolled public health students at the University of Canberra (UC) and a partnering public health university from India, the Indian Institute of Public Health Gandhinagar (IIPH-G). Using constructive learning theory and the Social Determinants of Health framework, four online sessions were designed and implemented in August-September 2022. Formal process and outcome evaluation using a quantitative adapted survey of the validated International Student Experience survey (IES) at session end and findings provided. Results: Over 100 participating public health students from Australia and India provided narrative feedback and quantitative responses from the adapted IES instrument across four key dimensions, namely "motivation," "personal development," intellectual development, and "international perspectives" reporting an overall high mean impact of 4.29 (out of 5) across all four themes seen together. In essence, the sessions supported students to explore global health issues from a different cultural perspective while developing intercultural communication skills and enhancing their global exposure in real-time. Discussions: This innovation, implemented as a proof of concept, provided evidence, and demonstrated the implementation feasibility of a flexible virtual integrated practice-based module that can supplement classroom teaching. It provides participating students with the opportunity to develop intercultural understanding and communication competence as well as support global mindedness by engaging with international peers around focused global health case studies.

Air quality and health co-benefits of climate change mitigation and adaptation actions by 2030: an interdisciplinary modeling study in Ahmedabad, India.

Climate change-driven temperature increases worsen air quality in places where coal combustion powers electricity for air conditioning. Climate solutions that substitute clean and renewable energy in place of polluting coal and promote adaptation to warming through reflective cool roofs can reduce cooling energy demand in buildings, lower power sector carbon emissions, and improve air quality and health. We investigate the air quality and health co-benefits of climate solutions in Ahmedabad, India-a city where air pollution levels exceed national health-based standards-through an interdisciplinary modeling approach. Using a 2018 baseline, we quantify changes in fine particulate matter (PM2.5) air pollution and all-cause mortality in 2030 from increasing renewable energy use (mitigation) and expanding Ahmedabad's cool roofs heat resilience program (adaptation). We apply local demographic and health data and compare a 2030 mitigation and adaptation (M&A) scenario to a 2030 business-as-usual (BAU) scenario (without climate change response actions), each relative to 2018 pollution levels. We estimate that the 2030 BAU scenario results in an increase of PM2.5 air pollution of 4.13 µg m-3 from 2018 compared to a 0.11 µg m-3 decline from 2018 under the 2030 M&A scenario. Reduced PM2.5 air pollution under 2030 M&A results in 1216-1414 fewer premature all-cause deaths annually compared to 2030 BAU. Achievement of National Clean Air Programme, National Ambient Air Quality Standards, or World Health Organization annual PM2.5 Air Quality Guideline targets in 2030 results in up to 6510, 9047, or 17 369 fewer annual deaths, respectively, relative to 2030 BAU. This comprehensive modeling method is adaptable to estimate local air quality and health co-benefits in other settings by integrating climate, energy, cooling, land cover, air pollution, and health data. Our findings demonstrate that city-level climate change response policies can achieve substantial air quality and health co-benefits. Such work can inform public discourse on the near-term health benefits of mitigation and adaptation.

Trust Deficit in Surgical Systems in an Urban Slum in India Under Universal Health Coverage: A Mixed Method Study.

Objectives: We carried out a mixed method study to understand why patients did not avail of surgical care in an urban slum in India. Methods: In our earlier study, we found that out of 10,330 people, 3.46% needed surgery; 42% did not avail of surgery (unmet needs). We conducted a follow-up study to understand reasons for not availing surgery, 141 in met needs, 91 in unmet needs. We administered 2 instruments, 16 in-depth interviews and 1 focused group discussion. Results: Responses from the 2 groups for "the Socio-culturally Competent Trust in Physician Scale for a Developing Country Setting" scale did not have significant difference except for, prescription of medicines, patients with unmet needs were less likely to agree (p = 0.076). Results between 2 groups regarding "Patient perceptions of quality" did not show significant difference except for doctors answering questions where a higher proportion of unmet need group agreed (p = 0.064). Similar observations were made in the in depth interviews and focus group. Conclusion: There is a need for understanding trust issues with health service delivery related to surgical care for marginalized populations.

Climate change and 2030 cooling demand in Ahmedabad, India: opportunities for expansion of renewable energy and cool roofs.

Most of India's current electricity demand is met by combustion of fossil fuels, particularly coal. But the country has embarked on a major expansion of renewable energy and aims for half of its electricity needs to be met by renewable sources by 2030. As climate change-driven temperature increases continue to threaten India's population and drive increased demand for air conditioning, there is a need to estimate the local benefits of policies that increase renewable energy capacity and reduce cooling demand in buildings. We investigate the impacts of climate change-driven temperature increases, along with population and economic growth, on demand for electricity to cool buildings in the Indian city of Ahmedabad between 2018 and 2030. We estimate the share of energy demand met by coal-fired power plants versus renewable energy in 2030, and the cooling energy demand effects of expanded cool roof adaptation in the city. We find renewable energy capacity could increase from meeting 9% of cooling energy demand in 2018 to 45% in 2030. Our modeling indicates a near doubling in total electricity supply and a nearly threefold growth in cooling demand by 2030. Expansion of cool roofs to 20% of total roof area (associated with a 0.21 TWh reduction in cooling demand between 2018 and 2030) could more than offset the city's climate change-driven 2030 increase in cooling demand (0.17 TWh/year). This study establishes a framework for linking climate, land cover, and energy models to help policymakers better prepare for growing cooling energy demand under a changing climate.

Challenges in the execution of public health research: Reflections from Public Health Research Initiative (PHRI) grant management in India.

Background: Well-planned health research is fundamental to the success of any public health system in leading to better population health outcomes. Although the Indian public health system is unique, it lacks strong linkages between research and practice. There is a pressing need to address the gap in the research to reduce the disease burden in the country. Although various efforts are made to enhance public health research, such research is rarely documented as a process. The objective of the present paper is to document issues and challenges in managing public health research grants awarded to the PHRI fellows from 2013-to 2021 under the PHRI project. Method: A mixed-method approach, including qualitative (in-depth) interviews and secondary review, was adopted to collect the challenges in executing PHRI grants (during 2013-2021). The in-depth interviews were conducted among the PHRI execution team, whereas the secondary document review was conducted among the PHRI fellows, and the findings are documented under major themes like administrative, technical, and financial issues and/or challenges. Result: A total of 35 candidates 16 intramural (IM) candidates affiliated with PHFI or IIPH institutes and 19 extramural (EM) candidates affiliated to other academic institutes were selected for the fellowship, The common challenges identified amongst intra & extramural fellows were inability to disseminate the study findings, challenges in communication and getting audited statements, changes in study methods without prior permission, mid study attrition of CO-PIs and high budget utilization. The specific difficulties identified from extramural fellows were change in institute affiliation, lack of support to fund utilization from the parent institute and difficulties in field validation. Conclusion: The present perspective emphasizes that the management and implementation of a research grant is the crucial part of achieving a project's desired outcome. The learnings of PHRI grant execution allows the researchers to understand the issues in terms of methodological rigour and financial guidelines, rigorous tracking of the project activities, and complying with the terms of funding agreement are crucial. The challenges explored in this grant execution recommend developing a structured public health grant management leadership program for researchers and executors.

Climate Change Adaptation: Prehospital Data Facilitate the Detection of Acute Heat Illness in India.

INTRODUCTION: Extreme heat is a significant cause of morbidity and mortality, and the incidence of acute heat illness (AHI) will likely increase secondary to anthropogenic climate change. Prompt diagnosis and treatment of AHI are critical; however, relevant diagnostic and surveillance tools have received little attention. In this exploratory cross-sectional and diagnostic accuracy study, we evaluated three tools for use in the prehospital setting: 1) case definitions; 2) portable loggers to measure on-scene heat exposure; and 3) prevalence data for potential AHI risk factors. METHODS: We enrolled 480 patients who presented to emergency medical services with chief complaints consistent with AHI in Ahmedabad, India, from April-June 2016 in a cross-sectional study. We evaluated AHI case definition test characteristics in reference to trained prehospital provider impressions, compared on-scene heat index measured by portable loggers to weather station measurements, and identified AHI behavioral and environmental risk factors using logistic regression. RESULTS: The case definition for heat exhaustion was 23.8% (12.1-39.5%) sensitive and 93.6% (90.9-95.7%) specific. The positive and negative predictive values were 33.5% (20.8-49.0%) and 90.1% (88.5-91.5%), respectively. Mean scene heat index was 6.7°C higher than the mean station heat index (P < 0.001), and station data systematically underestimated heat exposure, particularly for AHI cases. Heat exhaustion cases were associated with on-scene heat index ≥ 49°C (odds ratio [OR] 2.66 [1.13-6.25], P = 0.025) and a history of recent exertion (OR 3.66 [1.30-10.29], P = 0.014), while on-scene air conditioning was protective (OR 0.29 [0.10-0.85], P = 0.024). CONCLUSION: Systematic collection of prehospital data including recent activity history and presence of air conditioning can facilitate early AHI detection, timely intervention, and surveillance. Scene temperature data can be reliably collected and improve heat exposure and AHI risk assessment. Such data may be important elements of surveillance, clinical practice, and climate change adaptation.

Assessing mortality risk attributable to high ambient temperatures in Ahmedabad, 1987 to 2017.

BACKGROUND: Studies on high temperatures and mortality have not focused on underdeveloped tropical regions and have reported the associations of different temperature metrics without conducting model selection. METHODS: We collected daily mortality and meteorological data including ambient temperatures and humidity in Ahmedabad during summer, 1987-2017. We proposed two cross-validation (CV) approaches to compare semiparametric quasi-Poisson models with different temperature metrics and heat wave definitions. Using the fittest model, we estimated heat-mortality associations among general population and subpopulations. We also conducted separate analyses for 1987-2002 and 2003-2017 to evaluate temporal heterogeneity. FINDINGS: The model with maximum and minimum temperatures and without heat wave indicator gave the best performance. With this model, we found a substantial and significant increase in mortality rate starting from maximum temperature at 42 °C and from minimum temperature at 28 °C: 1 °C increase in maximum and minimum temperatures at lag 0 were associated with 9.56% (95% confidence interval [CI]: 6.64%, 12.56%) and 9.82% (95% CI: 6.33%, 13.42%) increase in mortality risk, respectively. People aged ≥65 years and lived in South residential zone where most slums were located, were more vulnerable. We observed flatter increases in mortality risk associated with high temperatures comparing the period of 2003-2017 to 1987-2002. INTERPRETATION: The analyses provided better understanding of the relationship of high temperatures with mortality in underdeveloped tropical regions and important implications in developing heat warning system for local government. The proposed CV approaches will benefit future scientific work.

Secondary attack rate in household contacts of COVID-19 Paediatric index cases: a study from Western India.

BACKGROUND: Role of pediatric cases in secondary transmission of COVID-19 is not well understood. We aim to study secondary attack rate (SAR) of COVID-19 in household contacts of pediatric index cases from Gujarat, Western Indian state. METHODS: For this cross-sectional study, details of 2412 paediatric patients were collected from Government records. Through stratified random sampling 10% (n = 242) of the patients were selected for the study and were telephonically contacted for obtaining the details of household secondary infection; 72 pediatric index cases having 287 household contacts were included in the study. RESULTS: The SAR in household contacts of pediatric index cases was 1.7% (95% CI: 0.74-4%). Majority of the index cases were males (94.4%) with 66% of the patients being admitted at various hospitals and isolation facilities (45%); 37% were home quarantine. Of 72, 50 (74%) cases were aged between 12 and 18 years. The family size of the index cases causing secondary infection was comparatively larger than index cases without secondary household infection (6.75 ± 2.3 versus 4.9 ± 1.9; P = 0.034). CONCLUSIONS: The household SAR from pediatric patients is low and is closely associated with the family size of the index cases. Hence, home quarantine should be advocated in smaller families with appropriate isolation facilities.

Role of extreme weather events and El Niño Southern Oscillation on incidence of Enteric Fever in Ahmedabad and Surat, Gujarat, India.

INTRODUCTION: Enteric Fever (EF) affects over 14.5 million people every year globally, with India accounting for the largest share of this burden. The water-borne nature of the disease makes it prone to be influenced as much by unsanitary living conditions as by climatic factors. The detection and quantification of the climatic effect can lead to improved public health measures which would in turn reduce this burden. METHODOLOGY: We obtained a list of monthly Widal positive EF cases from 1995 to 2017 from Ahmedabad and Surat Municipalities. We obtained population data, daily weather data, and Oceanic Niño Index values from appropriate sources. We quantified the association between extreme weather events, phases of El Niño Southern Oscillations (ENSO) and incidence of EF. RESULTS: Both cities showed a seasonal pattern of EF, with cases peaking in early monsoon. Risk of EF was affected equally in both cities by the monsoon season -- Ahmedabad (35%) and Surat (34%). Extreme precipitation was associated with 5% increase in EF in Ahmedabad but not in Surat. Similarly, phases of ENSO had opposite effects on EF across the two cities. In Ahmedabad, strong El Niño months were associated with 64% increase in EF risk while strong La Niña months with a 41% reduction in risk. In Surat, strong El Niño was associated with 25% reduction in risk while moderate La Niña with 21% increase in risk. CONCLUSIONS: Our results show that the risk of EF incidence in Gujarat is highly variable, even between the two cities only 260 kms apart. In addition to improvements in water supply and sewage systems, preventive public health measures should incorporate variability in risk across season and phases of ENSO. Further studies are needed to characterize nationwide heterogeneity in climate-mediated risk, and to identify most vulnerable populations that can benefit through early warning systems.

Perceptions of quality of care during birth at private Chiranjeevi facilities in Gujarat: lessons for Universal Health Coverage.

The Indian national health policy encourages partnerships with private providers as a means to achieve universal health coverage. One of these was the Chiranjeevi Yojana (CY), a partnership since 2006 with private obstetricians to increase access to institutional births in the state of Gujarat. More than a million births have occurred under this programme. We studied women's perceptions of quality of care in the private CY facilities, conducting 30 narrative interviews between June 2012 and April 2013 with mothers who had birthed in 10 CY facilities within the last month. The commonly agreed upon characteristics of a "good (sari) delivery" were: giving birth vaginally, to a male child, with the shortest period of pain, and preferably free of charge. But all this mattered only after the primary outcome of being "saved" was satisfied. Women ensured this by choosing a competent provider, a "good doctor". They wanted a quick delivery by manipulating "heat" (intensifying contractions) through oxytocics. There were instances of inadequate clinical care for serious morbidities although the few women who experienced poor quality of care still expressed satisfaction with their overall care. Mothers' experiences during birth are more accurate indicators of the quality of care received by them, than the satisfaction they report at discharge. Improving health literacy of communities regarding the common causes of severe maternal morbidity and mortality must be addressed urgently. It is essential that cashless CY services be ensured to achieve the goal of 100% institutional births.

Cluster-randomised trial to test the effect of a behaviour change intervention on toilet use in rural India: results and methodological considerations.

BACKGROUND: Effective and scalable behaviour change interventions to increase use of existing toilets in low income settings are under debate. We tested the effect of a novel intervention, the '5 Star Toilet' campaign, on toilet use among households owning a toilet in a rural setting in the Indian state of Gujarat. METHODS: The intervention included innovative and digitally enabled campaign components delivered over 2 days, promoting the upgrading of existing toilets to achieve use by all household members. The intervention was tested in a cluster randomised trial in 94 villages (47 intervention and 47 control). The primary outcome was the proportion of households with use of toilets by all household members, measured through self- or proxy-reported toilet use. We applied a separate questionnaire tool that masked open defecation questions as a physical activity study, and excluded households surveyed at baseline from the post-intervention survey. We calculated prevalence differences using linear regression with generalised estimating equations. RESULTS: The primary study outcome was assessed in 2483 households (1275 intervention and 1208 control). Exposure to the intervention was low. Post-intervention, toilet use was 83.8% in the control and 90.0% in the intervention arm (unadjusted difference + 6.3%, 95%CI 1.1, 11.4, adjusted difference + 5.0%, 95%CI -0.1, 10.1. The physical activity questionnaire was done in 4736 individuals (2483 intervention and 2253 control), and found no evidence for an effect (toilet use 80.7% vs 82.2%, difference + 1.7%, 95%CI -3.2, 6.7). In the intervention arm, toilet use measured with the main questionnaire was higher in those exposed to the campaign compared to the unexposed (+ 7.0%, 95%CI 2.2%, 11.7%), while there was no difference when measured with the physical activity questionnaire (+ 0.9%, 95%CI -3.7%, 5.5%). Process evaluation suggested that insufficient campaign intensity may have contributed to the low impact of the intervention. CONCLUSION: The study highlights the challenge in achieving high intervention intensity in settings where the proportion of the total population that are potential beneficiaries is small. Responder bias may be minimised by masking open defecation questions as a physical activity study. Over-reporting of toilet use may be further reduced by avoiding repeated surveys in the same households. TRIAL REGISTRATION: The trial was registered on the RIDIE registry ( RIDIE-STUDY-ID-5b8568ac80c30 , 27-8-2018) and retrospectively on clinicaltrials.gov ( NCT04526171 , 30-8-2020).

Participation in microfinance based Self Help Groups in India: Who becomes a member and for how long?

INTRODUCTION: Microfinance is a widely promoted developmental initiative to provide poor women with affordable financial services for poverty alleviation. One popular adaption in South Asia is the Self-Help Group (SHG) model that India adopted in 2011 as part of a federal poverty alleviation program and as a secondary approach of integrating health literacy services for rural women. However, the evidence is limited on who joins and continues in SHG programs. This paper examines the determinants of membership and staying members (outcomes) in an integrated microfinance and health literacy program from one of India's poorest and most populated states, Uttar Pradesh across a range of explanatory variables related to economic, socio-demographic and area-level characteristics. METHOD: Using secondary survey data from the Uttar Pradesh Community Mobilization project comprising of 15,300 women from SHGs and Non-SHG households in rural India, we performed multivariate logistic and hurdle negative binomial regression analyses to model SHG membership and duration. RESULTS: While in general poor women are more likely to be SHG members based on an income threshold limit (government-sponsored BPL cards), women from poorest households are more likely to become members, but less likely to stay members, when further classified using asset-based wealth quintiles. Additionally, poorer households compared to the marginally poor are less likely to become SHG members when borrowing for any reason, including health reasons. Only women from moderately poor households are more likely to continue as members if borrowing for health and non-income-generating reasons. The study found that an increasing number of previous pregnancies is associated with a higher membership likelihood in contrast to another study from India reporting a negative association. CONCLUSION: The study supports the view that microfinance programs need to examine their inclusion and retention strategies in favour of poorest household using multidimensional indicators that can capture poverty in its myriad forms.

Surgical Unmet Need in a Low-Income Area of a Metropolitan City in India: A Cross-Sectional Study.

INTRODUCTION: We investigated the burden of surgical conditions, level of unmet needs and reasons for non-utilization of surgical services in a slum of Ahmedabad, India. METHODS: A community-based cross-sectional study was carried out from August to December 2019. Inclusion criteria was age > 14 years; any type of injury/condition that requires surgery; subject has had surgery in last 1 year, and death information of family members. Data were stored and coded in Microsoft excel and exported to IBM SPSS statistics version 25 software for data analysis. Frequencies and proportions (categorical variable) are used to summarize utilization of surgical services and understanding surgical need. The Surgeons Overseas Assessment of Surgical was used to identify surgical met and unmet needs translated into local language. Open Data Kit software was used to install questionnaire in the "Tablet" to collect information and stress-free workflow in field. RESULTS: Out of 10,330 population in 2066 households, 7914 were more than 14 years of age. 3.46% (n = 274) people needed surgery; 116 did not avail surgery and were categorized in "unmet need." Fifty percent of individuals with surgical needs had abdominal- or extremities-related problems followed by eyes surgery need (14%); back, chest and breast surgical need was 13.5%. Seventeen percent of participants with surgical needs had wounds related to injury or accident while 63% had wounds that were not related to injury. Almost all participants had gone to a physician to seek healthcare, however 42% did not avail surgical care needed for a variety of reasons. Forty-six percent of participants needing surgical care underwent major surgical procedure, while 11% had minor procedures. Financial reasons (34.5%) and lack of trust (35.3%) were major reasons for not availing surgical care. CONCLUSIONS AND RELEVANCE: Ahmedabad is a relatively high income metropolitan city, has universally free health care and multiple healthcare facilities. Despite this, we have shown that there is significant unmet need for surgical procedures in the low-income population. A unique finding was that most patients sought a consultation but approximately 50% did not avail of the free surgical procedures under the universally free health care system in this city. We propose creation of community healthcare workers focused on surgical conditions.

Effects of health behaviour change intervention through women's self-help groups on maternal and newborn health practices and related inequalities in rural india: A quasi-experimental study.

BACKGROUND: Despite the health system efforts, health disparities exist across sub-populations in India. We assessed the effects of health behaviour change interventions through women's self-help groups (SHGs) on maternal and newborn health (MNH) behaviours and socio-economic inequalities. METHODS: We did a quasi-experimental study of a large-scale SHG program in Uttar Pradesh, India, where 120 geographic blocks received, and 83 blocks did not receive health intervention. Data comes from two cross-sectional surveys with 4,615 recently delivered women in 2015, and 4,250 women in 2017. The intervention included MNH discussions in SHG meetings and community outreach activities. The outcomes included antenatal, natal and postnatal care, contraceptive use, cord care, skin-to-skin care, and breastfeeding practices. Effects were assessed using multilevel mixed-effects regression adjusted difference-in-differences (DID) analysis adjusting for geographic clustering and potential covariates, for all, most-marginalised and least-marginalised women. Concentration indices examined the socio-economic inequality in health practices over time. FINDINGS: The net improvements (5-11 percentage points [pp]) in correct MNH practices were significant in the intervention areas. The improvements over time were higher among the most-marginalised than least-marginalised for antenatal check-ups (DID: 20pp, p<0•001 versus DID: 6pp, p = 0•093), consumption of iron folic acid tablets for 100 days (DID: 7pp, p = 0•036 versus DID: -1pp, p = 0•671), current use of contraception (DID: 12pp, p = 0•046 versus DID: 10pp, p = 0•021), cord care (DID: 12pp, p = 0•051 versus DID: 7pp, p = 0•210), and timely initiation of breastfeeding (DID: 29pp, p = 0•001 versus DID: 1pp, p = 0•933). Lorenz curves and concentration indices indicated reduction in rich-poor gap in health practices over time in the intervention areas. INTERPRETATION: Disparities in MNH behaviours declined with the efforts by SHGs through behaviour change communication intervention.

Antimicrobial Resistance Surveillance in Typhoidal Salmonella in Ahmedabad in an Era of Global Antimicrobial Resistance Surveillance Systems.

INTRODUCTION: India possibly carries the highest burden of antimicrobial resistant typhoidal salmonellae in the world. We report on the health-care ecosystem that produces data on antimicrobial resistance (AMR) testing and the resistance patterns of typhoidal Salmonella isolates in the city of Ahmedabad. MATERIALS AND METHODS: Through municipality records and internet searches, we identified 1696 private and 83 public laboratories in the city; 4 medical colleges, 4 health-care institution attached laboratories, and 4 corporate laboratories (CLs) were performing culture and antibiotic sensitivity testing (AST), but only 2 medical colleges and 1 CL shared their data with us. There was considerable variation in culturing and sensitivity testing methodology across laboratories. RESULTS: Out of 51,260 blood cultures, Salmonella isolates were detected in only 146 (0.28%). AST was conducted on 124 isolates, of which 67 (54%) were found resistant. Multidrug resistance was absent. Concurrent resistance to more than one antibiotic was very high, 88%, among the 67 resistant isolates. Ciprofloxacin resistance varied widely between the private and public sector laboratories. Notably, isolates from the private sector laboratory showed complete resistance to azithromycin. CONCLUSIONS: High resistance to ciprofloxacin and azithromycin observed in Ahmedabad may be due to the increased use of these two antibiotics in the public and private sectors, respectively. The need of the hour is to identify a representative sample of laboratories from both the public and the private sectors and encourage them to participate in the national AMR surveillance network.

Utilization of maternal health services and its determinants: a cross-sectional study among women in rural Uttar Pradesh, India.

BACKGROUND: Proper utilization of antenatal and postnatal care services plays an important role in reducing the maternal mortality ratio and infant mortality rate. This paper assesses the utilization of health care services during pregnancy, delivery and post-delivery among rural women in Uttar Pradesh (UP) and examines its determinants. METHODS: Data from a baseline survey of UP Community Mobilization (UPCM) project (2013) was utilized. A cross-sectional sample of currently married women (15 to 49 years) who delivered a baby 15 months prior to the survey was included. Information was collected from 2208 women spread over five districts of UP. Information on socio-demography characteristics, utilization of antenatal care (ANC), delivery and postnatal care (PNC) services was collected. To examine the determinants of utilization of maternal health services, the variables included were three ANC visits, institutional delivery and PNC within 42 days of delivery. Separate multilevel random intercept logistic regressions were used to account for clustering at a block and gram panchayat level after adjusting for covariates. RESULTS: Eighty-three percent of women had any ANC. Of them, 61% reported three or more ANC visits. Although 68% of women delivered in a health facility, 29% stayed for at least 48 h. Any PNC within 42 days after delivery was reported by 26% of women. In the adjusted analysis, women with increasing number of contacts with the health worker during the antenatal period, women exposed to mass-media and non-marginalized women were more likely to have at least three ANC visits during pregnancy. Non-marginalized women and women with at least three ANC visits were more likely than their counterparts to deliver in an institution. Contacts with health worker during pregnancy, marginalization, at least three ANC visits and institutional delivery were the strong determinants for utilization of PNC services. Self-help group (SHG) membership had no association with the utilization of maternal health services. CONCLUSIONS: Utilization of maternal health services was low. Contact with the health worker and marginalization emerged as important factors for utilization of services. Although not associated with the utilization, SHGs can be used for delivering health care messages within and beyond the group.

Building Resilience to Climate Change: Pilot Evaluation of the Impact of India's First Heat Action Plan on All-Cause Mortality.

Background: Ahmedabad implemented South Asia's first heat action plan (HAP) after a 2010 heatwave. This study evaluates the HAP's impact on all-cause mortality in 2014-2015 relative to a 2007-2010 baseline. Methods: We analyzed daily maximum temperature (T max)-mortality relationships before and after HAP. We estimated rate ratios (RRs) for daily mortality using distributed lag nonlinear models and mortality incidence rates (IRs) for HAP warning days, comparing pre- and post-HAP periods, and calculated incidence rate ratios (IRRs). We estimated the number of deaths avoided after HAP implementation using pre- and post-HAP IRs. Results: The maximum pre-HAP RR was 2.34 (95%CI 1.98-2.76) at 47°C (lag 0), and the maximum post-HAP RR was 1.25 (1.02-1.53) estimated at 47°C (lag 0). Post-to-pre-HAP nonlagged mortality IRR for T max over 40°C was 0.95 (0.73-1.22) and 0.73 (0.29-1.81) for T max over 45°C. An estimated 1,190 (95%CI 162-2,218) average annualized deaths were avoided in the post-HAP period. Conclusion: Extreme heat and HAP warnings after implementation were associated with decreased summertime all-cause mortality rates, with largest declines at highest temperatures. Ahmedabad's plan can serve as a guide for other cities attempting to increase resilience to extreme heat.