Journey From a Digital Innovation to a Sustainable Health Worker Capacity-Building App in India: Experiences, Challenges, and Lessons Learned.

Health workers, especially auxiliary nurse midwives (ANMs), are among the most critical resources in improving the quality of immunization services and reducing vaccine hesitancy under the Universal Immunization Programme (UIP) in India. To improve health worker immunization skills, UIP trainings in India are primarily conducted through instructor-led classroom, cascade trainings. However, a 2018 capacity-building need assessment revealed several challenges involved in traditional classroom training, such as a single-time exposure to new guidelines, complicated logistics arrangements, a lack of refresher training, and varying quality of training. These complexities make it difficult to meet the timely knowledge and skill needs of every health worker effectively and uniformly in a rapidly changing scenario of UIP. To meet health worker capacity-building needs and address these challenges, Rapid Immunization Skill Enhancement (RISE), a learning management system (LMS) application, was conceptualized. The RISE LMS application was developed as a human-centered, interactive, continuous, and adaptable knowledge and skill-building platform for health workers engaged in the UIP. RISE complements existing classroom-based cascade training for health workers by leveraging digital technologies for faster, easier, and more effective knowledge transfer to accommodate the fast-changing needs of a dynamic health program like UIP. In this article, we share the challenges and strategic solutions to digital training applications, lessons learned, sustainability of the application, and the impact RISE has made in India, all of which stemmed from leadership, coordinated efforts from a team of skilled professionals, government acceptance, detailed planning, and continued stakeholder engagement.

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.

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.

A cohort study on risk factors for preterm births in rural Gujarat.

BACKGROUND: Prematurity is one of the leading causes of neonatal and under-five mortalities globally and also in India. It is an important determinant of short- and long-term morbidities in infants and children. Unfortunately, risk factors of majority of preterm births (PTBs) remain unexplained which calls for appropriate action. There is a dearth of community-based research on PTB and its risk factors, especially in high burden countries like India. OBJECTIVES: The objective of the study was to explore different risk factors for PTB. METHODS:: A cohort of 1977 antenatal mothers was enrolled at household level by trained field investigators and was followed up in four districts of Gujarat, India, to document the outcome of pregnancy. Pretested and structured questionnaires were used to collect information. A hierarchical regression model was used to analyze the risk factors for PTB. RESULTS: Proportion of PTB was 9% among the enrolled cohort. Risk factors which were found to be significant on applying the hierarchical model were periodontal disease, long sleep duration, and sex during any trimester. CONCLUSIONS: The study suggests an urgent need for strengthening of existing guidelines for effective, evidence-based, and culturally appropriate interventions for prevention of PTB. Maintenance of good oral hygiene should find a place in routine recommendations for pregnant women, and antenatal examinations should include screening for oral hygiene also.

Considerations of private sector obstetricians on participation in the state led "Chiranjeevi Yojana" scheme to promote institutional delivery in Gujarat, India: a qualitative study.

BACKGROUND: In India a lack of access to emergency obstetric care contributes to maternal deaths. In 2005 Gujarat state launched a public-private partnership (PPP) programme, Chiranjeevi Yojana (CY), under which the state pays accredited private obstetricians a fixed fee for providing free intrapartum care to poor and tribal women. A million women have delivered under CY so far. The participation of private obstetricians in the partnership is central to the programme's effectiveness. We explored with private obstetricians the reasons and experiences that influenced their decisions to participate in the CY programme. METHOD: In this qualitative study we interviewed 24 purposefully selected private obstetricians in Gujarat. We explored their views on the scheme, the reasons and experiences leading up to decisions to participate, not participate or withdraw from the CY, as well as their opinions about the scheme's impact. We analysed data using the Framework approach. RESULTS: Participants expressed a tension between doing public good and making a profit. Bureaucratic procedures and perceptions of programme misuse seemed to influence providers to withdraw from the programme or not participate at all. Providers feared that participating in CY would lower the status of their practices and some were deterred by the likelihood of more clinically difficult cases among eligible CY beneficiaries. Some providers resented taking on what they saw as a state responsibility to provide safe maternity services to poor women. Younger obstetricians in the process of establishing private practices, and those in more remote, 'less competitive' areas, were more willing to participate in CY. Some doctors had reservations over the quality of care that doctors could provide given the financial constraints of the scheme. CONCLUSIONS: While some private obstetricians willingly participate in CY and are satisfied with its functioning, a larger number shared concerns about participation. Operational difficulties and a trust deficit between the public and private health sectors affect retention of private providers in the scheme. Further refinement of the scheme, in consultation with private partners, and trust building initiatives could strengthen the programme. These findings offer lessons to those developing public-private partnerships to widen access to health services for underprivileged groups.