What drives poor quality of care for child diarrhea? Experimental evidence from India.

Most health care providers in developing countries know that oral rehydration salts (ORS) are a lifesaving and inexpensive treatment for child diarrhea, yet few prescribe it. This know-do gap has puzzled experts for decades. Using randomized experiments in India, we estimated the extent to which ORS underprescription is driven by perceptions that patients do not want ORS, provider's financial incentives, and ORS stock-outs (out-of-stock events). Patients expressing a preference for ORS increased ORS prescribing by 27 percentage points. Eliminating stock-outs increased ORS provision by 7 percentage points. Removing financial incentives did not affect ORS prescribing on average but did increase ORS prescribing at pharmacies. We estimate that perceptions that patients do not want ORS explain 42% of underprescribing, whereas stock-outs and financial incentives explain only 6 and 5%, respectively.

In search of a fix to the primary health care chasm in India: can institutionalizing a public health cadre and inducting family physicians be the answer?

India's woes with an underprioritized and hence underfunded and understaffed public health system continue to plague public healthcare delivery. Though the need for appropriately qualified public health cadre to lead public health programmes is well established, a well-meaning conducive approach to implementing this is lacking. As the COVID-19 pandemic brought back the focus on India's fragmented health system and primary healthcare deficiencies, we discuss the primary healthcare conundrum in India in search of a quintessential fix. We argue for instituting a well-thought and inclusive public health cadre to lead preventive and promotive public health programmes and manage public health delivery. With the aim being to increase community confidence in primary health care, along with the need to augment primary healthcare infrastructure, we argue for a need to augment primary healthcare with physicians trained in family medicine. Provisioning medical officers and general practitioners trained in family medicine can salvage community's confidence in primary care, increase primary healthcare utilization, stymie over-specialization of care, channelize and prioritize referrals, and guarantee competence in healthcare quality for rural communities.

Prevalence of Hypothyroidism in the Population of West Bokaro Coal Mine Area, Jharkhand: A Hospital-Based Observational Study.

Background Hypothyroidism is a common endocrine disorder worldwide. Studies on the prevalence of hypothyroidism in different geographical territories of India are sparse. Data on the prevalence of hypothyroidism in India's coal mine areas are lacking. Therefore, we conducted a cross-sectional study to determine the prevalence of hypothyroidism in the adult population living in the coal mine areas of West Bokaro, Jharkhand, India. Methods In total, 1484 individuals of both sexes attending the outpatient department (OPD) of Tata Central Hospital, West Bokaro, Jharkhand, with varied symptoms were screened for thyroid-stimulating hormone (TSH) levels from January 2021 to February 2022. The age of the study participants ranged from 15 to 80 years. Results In total, 366 participants had hypothyroidism (subclinical as well as overt). The prevalence of hypothyroidism was greater in women than in men. Among the 366 patients with hypothyroidism, 311 were women and 55 were men, and the ratio was 5.5:1. The percentage of the population having hypothyroidism was 24% in this study, which is higher than that reported in other parts of India; however, our results are similar to those of a study conducted in Assam in 2017. Among patients with high TSH levels, 47%, 25%, and 19% had TSH in the range of 5.6-7.5, 7.6-10.6, and 10.6-20 µU/mL, respectively. Conclusions Subclinical and overt hypothyroidism are common in eastern India. Patients with undiagnosed fatigue and weight gain must be screened for TSH levels. Hypothyroidism is no longer a rarity, and coal mine areas are no exception to this phenomenon. A population­based epidemiological study of thyroid disorders in coal mine areas is an urgent need.

Health care services use, stillbirth, and neonatal and infant survival following implementation of the Maternal Health Voucher Scheme in Bangladesh: A difference-in-differences analysis of Bangladesh Demographic and Health Survey data, 2000 to 2016.

BACKGROUND: Starting in 2006 to 2007, the Government of Bangladesh implemented the Maternal Health Voucher Scheme (MHVS). This program provides pregnant women with vouchers that can be exchanged for health services from eligible public and private sector providers. In this study, we examined whether access to the MHVS was associated with maternal health services utilization, stillbirth, and neonatal and infant mortality. METHODS AND FINDINGS: We used information on pregnancies and live births between 2000 to 2016 reported by women 15 to 49 years of age surveyed as part of the Bangladesh Demographic and Health Surveys. Our analytic sample included 23,275 pregnancies lasting at least 7 months for analyses of stillbirth and between 15,125 and 21,668 live births for analyses of health services use, neonatal, and infant mortality. With respect to live births occurring prior to the introduction of the MHVS, 31.3%, 14.1%, and 18.0% of women, respectively, reported receiving at least 3 antenatal care visits, delivering in a health institution, and having a skilled birth attendant at delivery. Rates of neonatal and infant mortality during this period were 40 and 63 per 1,000 live births, respectively, and there were 32 stillbirths per 1,000 pregnancies lasting at least 7 months. We applied a difference-in-differences design to estimate the effect of providing subdistrict-level access to the MHVS program, with inverse probability of treatment weights to address selection into the program. The introduction of the MHVS program was associated with a lagged improvement in the probability of delivering in a health facility, one of the primary targets of the program, although associations with other health services were less evident. After 6 years of access to the MHVS, the probabilities of reporting at least 3 antenatal care visits, delivering in a health facility, and having a skilled birth attendant present increased by 3.0 [95% confidence interval (95% CI) = -4.8, 10.7], 6.5 (95% CI = -0.6, 13.6), and 5.8 (95% CI = -1.8, 13.3) percentage points, respectively. We did not observe evidence consistent with the program improving health outcomes, with probabilities of stillbirth, neonatal mortality, and infant mortality decreasing by 0.7 (95% CI = -1.3, 2.6), 0.8 (95% CI = -1.7, 3.4), and 1.3 (95% CI = -2.5, 5.1) percentage points, respectively, after 6 years of access to the MHVS. The sample size was insufficient to detect smaller associations with adequate precision. Additionally, we cannot rule out the possibility of measurement error, although it was likely nondifferential by treatment group, or unmeasured confounding by concomitant interventions that were implemented differentially in treated and control areas. CONCLUSIONS: In this study, we found that the introduction of the MHVS was positively associated with the probability of delivering in a health facility, but despite a longer period of follow-up than most extant evaluations, we did not observe attendant reductions in stillbirth, neonatal mortality, or infant mortality. Further work and engagement with stakeholders is needed to assess if the MHVS has affected the quality of care and health inequalities and whether the design and eligibility of the program should be modified to improve maternal and neonatal health outcomes.

Financial risk protection from social health insurance.

This paper estimates the impact of social health insurance on financial risk by utilizing data from a natural experiment created by the phased roll-out of a social health insurance program for the poor in India. We estimate the distributional impact of insurance on of out-of-pocket costs and incorporate these results with a stylized expected utility model to compute associated welfare effects. We adjust the standard model, accounting for conditions of developing countries by incorporating consumption floors, informal borrowing, and asset selling which allow us to separate the value of financial risk reduction from consumption smoothing and asset protection. Results show that insurance reduces out-of-pocket costs, particularly in higher quantiles of the distribution. We find reductions in the frequency and amount of money borrowed for health reasons. Finally, we find that the value of financial risk reduction outweighs total per household costs of the insurance program by two to five times.

The effect of paid maternity leave on early childhood growth in low-income and middle-income countries.

BACKGROUND: Despite recent improvements, low height-for-age, a key indicator of inadequate child nutrition, is an ongoing public health issue in low-income and middle-income countries. Paid maternity leave has the potential to improve child nutrition, but few studies have estimated its impact. METHODS: We used data from 583 227 children younger than 5 years in 37 countries surveyed as part of the Demographic and Health Surveys (2000-2014) to compare the change in children's height-for-age z score in five countries that increased their legislated duration of paid maternity leave (Uganda, Zambia, Zimbabwe, Bangladesh and Lesotho) relative to 32 other countries that did not. A quasiexperimental difference-in-difference design involving a linear regression of height-for-age z score on the number of weeks of legislated paid maternity leave was used. We included fixed effects for country and birth year to control for, respectively, fixed country characteristics and shared trends in height-for-age, and adjusted for time-varying covariates such as gross domestic product per capita and the female labour force participation rate. RESULTS: The mean height-for-age z scores in the pretreatment period were -1.91 (SD=1.44) and -1.47 (SD=1.57) in countries that did and did not change their policies, respectively. The scores increased in treated and control countries over time. A 1-month increase in legislated paid maternity leave was associated with a decrease of 0.08(95% CI -0.20 to 0.04) in child height-for-age z score. Sensitivity analyses did not support a robust association between paid maternity leave policies and height-for-age z score. CONCLUSION: We found little evidence that recent changes in legislated paid maternity leave have been sufficient to affect child height-for-age z scores. The relatively short durations of leave, the potential for low coverage and the strong increasing trend in children's growth may explain our findings. Future studies considering longer durations or combined interventions may reveal further insight to support policy.

Report from a symposium on catalyzing primary and secondary prevention of cancer in India.

PURPOSE: Oral, breast, and cervical cancers are amenable to early detection and account for a third of India's cancer burden. We convened a symposium of diverse stakeholders to identify gaps in evidence, policy, and advocacy for the primary and secondary prevention of these cancers and recommendations to accelerate these efforts. METHODS: Indian and global experts from government, academia, private sector (health care, media), donor organizations, and civil society (including cancer survivors and patient advocates) presented and discussed challenges and solutions related to strategic communication and implementation of prevention, early detection, and treatment linkages. RESULTS: Innovative approaches to implementing and scaling up primary and secondary prevention were discussed using examples from India and elsewhere in the world. Participants also reflected on existing global guidelines and national cancer prevention policies and experiences. CONCLUSIONS: Symposium participants proposed implementation-focused research, advocacy, and policy/program priorities to strengthen primary and secondary prevention efforts in India to address the burden of oral, breast, and cervical cancers and improve survival.

Government health insurance for people below poverty line in India: quasi-experimental evaluation of insurance and health outcomes.

OBJECTIVES: To evaluate the effects of a government insurance program covering tertiary care for people below the poverty line in Karnataka, India, on out-of-pocket expenditures, hospital use, and mortality. DESIGN: Geographic regression discontinuity study. SETTING: 572 villages in Karnataka, India. PARTICIPANTS: 31,476 households (22,796 below poverty line and 8680 above poverty line) in 300 villages where the scheme was implemented and 28,633 households (21,767 below poverty line and 6866 above poverty line) in 272 neighboring matched villages ineligible for the scheme. INTERVENTION: A government insurance program (Vajpayee Arogyashree scheme) that provided free tertiary care to households below the poverty line in about half of villages in Karnataka from February 2010 to August 2012. MAIN OUTCOME MEASURE: Out-of-pocket expenditures, hospital use, and mortality. RESULTS: Among households below the poverty line, the mortality rate from conditions potentially responsive to services covered by the scheme (mostly cardiac conditions and cancer) was 0.32% in households eligible for the scheme compared with 0.90% among ineligible households just south of the eligibility border (difference of 0.58 percentage points, 95% confidence interval 0.40 to 0.75; P<0.001). We found no difference in mortality rates for households above the poverty line (households above the poverty line were not eligible for the scheme), with a mortality rate from conditions covered by the scheme of 0.56% in eligible villages compared with 0.55% in ineligible villages (difference of 0.01 percentage points, -0.03 to 0.03; P=0.95). Eligible households had significantly reduced out-of-pocket health expenditures for admissions to hospitals with tertiary care facilities likely to be covered by the scheme (64% reduction, 35% to 97%; P<0.001). There was no significant increase in use of covered services, although the point estimate of a 44.2% increase approached significance (-5.1% to 90.5%; P=0.059). Both reductions in out-of-pocket expenditures and potential increases in use might have contributed to the observed reductions in mortality. CONCLUSIONS: Insuring poor households for efficacious but costly and underused health services significantly improves population health in India.

Slums and malnourishment: evidence from women in India.

OBJECTIVES: We examined the association between slum residence and nutritional status in women in India by using competing classifications of slum type. METHODS: We used nationally representative data from the 2005-2006 National Family Health Survey (NFHS-3) to create our citywide analysis sample. The data provided us with individual, household, and community information. We used the body mass index data to identify nutritional status, whereas the residential status variable provided slum details. We used a multinomial regression framework to model the 3 nutrition states-undernutrition, normal, and overnutrition. RESULTS: After we controlled for a range of attributes, we found that living in a census slum did not affect nutritional status. By contrast, living in NFHS slums decreased the odds of being overweight by 14% (95% confidence interval [CI] =0.79, 0.95) and increased the odds of being underweight by 10% (95% CI=1.00, 1.22). CONCLUSIONS: The association between slum residence and nutritional outcomes is nuanced and depends on how one defines a slum. This suggests that interventions targeted at slums should look beyond official definitions and include current living conditions to effectively reach the most vulnerable.

Health infrastructure & immunization coverage in rural India.

BACKGROUND & OBJECTIVE: Immunization coverage in India is far from complete with a disproportionately large number of rural children not being immunized. We carried out this study to examine the role of health infrastructure and community health workers in expanding immunization coverage in rural India. METHODS: The sample consisted of 43,416 children aged 2-35 months residing in rural India from the National Family Health Surveys (NFHS) conducted in 1993 and 1998. We estimated separate multinomial logit regression models for polio and non polio vaccines that estimated the probability that a child would receive "no cover," "some cover" or "full age-appropriate cover." The key measure of health infrastructure was a hierarchical variable that assigned each child to categories (no facility, dispensary or clinic, sub-centre, primary health care centre, and hospital) based on the best health facility available in the child's village. We also included variables capturing the availability of various types of community health workers in the village and other health infrastructure. RESULTS: While there was under-provision of rural health infrastructure, our results showed that the availability of health infrastructure had only a modest effect on immunization coverage. Larger and better-equipped facilities had bigger effects on immunization coverage. The presence of community health workers in the village was not associated with increased immunization coverage. INTERPRETATION & CONCLUSION: Our findings suggest that expanding the availability of fixed health infrastructure is unlikely to achieve the goal of universal coverage. Reforming community outreach programmes might be better strategy for increasing immunization coverage.