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The impact of natural disasters on child health and investments in rural India.

ABSTRACT: There is growing concern that climate change will lead to more frequent natural disasters that may adversely affect short- and long-term health outcomes in developing countries. Prior research has primarily focused on the impact of single, large disaster events but very little is known about how small and moderate disasters, which are more typical, affect population health. In this paper, we present one of the first investigations of the impact of small and moderate disasters on childhood morbidity, physical growth, and immunizations by combining household data on over 80,000 children from three waves of the Indian National Family and Health Survey with an international database of natural disasters (EM-DAT). We find that exposure to a natural disaster in the past month increases the likelihood of acute illnesses such as diarrhea, fever, and acute respiratory illness in children under 5 year by 9-18%. Exposure to a disaster in the past year reduces height-for-age and weight-for-age z-scores by 0.12-0.15 units, increases the likelihood of stunting and underweight by 7%, and reduces the likelihood of having full age-appropriate immunization coverage by nearly 18%. We also find that disasters' effects vary significantly by gender, age, and socioeconomic characteristics. Most notably, the adverse effects on growth outcomes are much smaller among boys, infants, and families with more socioeconomic resources.

SUBMITTER: Datar A

PROVIDER: S-EPMC3544338 | biostudies-literature | 2013 Jan

REPOSITORIES: biostudies-literature

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The impact of natural disasters on child health and investments in rural India.

Datar Ashlesha A Liu Jenny J Linnemayr Sebastian S Stecher Chad C

Social science & medicine (1982) 20121107 1

There is growing concern that climate change will lead to more frequent natural disasters that may adversely affect short- and long-term health outcomes in developing countries. Prior research has primarily focused on the impact of single, large disaster events but very little is known about how small and moderate disasters, which are more typical, affect population health. In this paper, we present one of the first investigations of the impact of small and moderate disasters on childhood morbid ...[more]

PMID: 23159307

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Project description:ObjectiveTo assess how pregnancy anaemia affects the offspring's early childhood development, child haemoglobin (Hb) levels child growth and diseases incidence 2 years after birth in a low-income setting. Furthermore, we investigate the mediating role of childhood Hb levels with disease incidences and skills.DesignProspective cohort study.Setting and participantsThe study participants are 941-999 mother-child dyads from rural Madhepura in Bihar, India. In 2015, the women were recruited during pregnancy from registers in mother-child centres of 140 villages for the first wave of data collection. At the time of the second wave in 2017, the children were 22-32 months old.Primary and secondary outcome measuresThe recruited women were visited at home for a household survey and the measurement of the women's and child's Hb level, child weight and height. Data on the incidence of diarrhoea and respiratory diseases or fever were collected from interviews with the mothers. To test motor, cognitive, language and socioemotional skills of the children, we used an adapted version of the child development assessment FREDI.ResultsThe average Hb during pregnancy was 10.2 g/dL and 69% of the women had pregnancy anaemia. At the age of 22-32 months, a 1 g/dL increase in Hb during pregnancy was associated with a 0.17 g/dL (95% CI: 0.11 to 0.23) increase in Hb levels of the child. Children of moderately or severely anaemic women during pregnancy showed 0.57 g/dL (95% CI: -0.78 to -0.36) lower Hb than children of non-anaemic women. We find no association between the maternal Hb during pregnancy and early skills, stunting, wasting, underweight or disease incidence. While childhood anaemia does not correlate with childhood diseases, we find an association of a 1 g/dl increase in the child's Hb with 0.04 SDs higher test scores.ConclusionsWhile pregnancy anaemia is a risk factor for anaemia during childhood, we do not find evidence for an increased risk of infectious diseases or early childhood development delays.

Project description:BackgroundReliable basic infrastructure, particularly electricity, is a critical enabling factor in improving health systems and consequently achieving the health sustainable development goals (SDGs). Yet, there is no systematic and rigorous study examining the effect of reliable electricity on health systems in a developing country context. In this study, we examine the effect of Jyotigram Yojana (JGY), a rural electrification program providing 24-h electricity to rural non-agricultural users in Gujarat, India, on core components of health systems including health facilities, health information, and health services utilization.MethodsWe match data from the District Level Household and Facility Survey (DLHS-II and DLHS-III) and administrative data from electricity distribution companies on JGY implementation. Matching survey data with administrative data allows us to precisely identify the relevant sample from Gujarat for our data analysis. We then apply a difference-in-differences framework to address potential bias in JGY implementation by comparing the sample from Gujarat (treatment group) with that from Maharashtra (control group). Our key independent variable is a dummy indicating JGY implementation, which operationalizes access to reliable electricity. It takes value 1 if the PHC/eligible woman/child is located or residing in the state of Gujarat and 0 if located or residing in the state of Maharashtra. Our outcome variables cover three core components of health systems-health facilities, health information, and child and maternal health services utilization. Each outcome is a binary variable. We therefore estimate probit models with appropriate control variables.ResultsWe find that JGY implementation significantly improved the operational capacity of health facilities, in particular primary health centers (PHCs), by increasing the availability and functionality of a wide range of essential devices and equipment. JGY also significantly increased access to health information through television. Further, JGY increased utilization of health services; in particular, it increased the probability of children receiving critical vaccinations and pregnant women receiving antenatal care. Our results are robust to alternate specifications and analysis using alternate data.ConclusionReliable electricity can be an effective tool in improving core components of health systems. In addition to targeting direct factors within the health systems such as health workforce and health financing, investments in supporting infrastructure are warranted to achieve the health SDGs.

Project description:BackgroundAn m-health application has been developed and implemented with community health workers to improve their counseling in a rural area of India. The ultimate aim was to generate demand and improve utilization of key maternal, neonatal, and child health services. The present study aims to assess the impact and cost-effectiveness of this project.Methods/designA pre-post quasi-experimental design with a control group will be used to undertake difference in differences analysis for assessing the impact of intervention. The Annual Health Survey (2011) will provide pre-intervention data, and a household survey will be carried out to provide post-intervention data.Two community development blocks where the intervention was introduced will be treated as intervention blocks while two controls blocks are selected after matching with intervention blocks on three indicators: average number of antenatal care checkups, percentage of women receiving three or more antenatal checkups, and percentage of institutional deliveries. Two categories of beneficiaries will be interviewed in both areas: women with a child between 29 days and 6 months and women with a child between 12 and 23 months. Propensity score matched samples from intervention and control areas in pre-post periods will be analyzed using the difference in differences method to estimate the impact of intervention in utilization of key services.Bottom-up costing methods will be used to assess the cost of implementing intervention. A decision model will estimate long-term effects of improved health services utilization on mortality, morbidity, and disability. Cost-effectiveness will be assessed in terms of incremental cost per disability-adjusted life year averted and cost per unit increase in composite service coverage in intervention versus control groups.ConclusionsThe study will generate significant evidence on impact of the m-health intervention for maternal, neonatal, and child services and on the cost of scaling up m-health technology for accredited social health activists in India.

Project description:BackgroundIn 2018, 875 000 under-five children died in India with children from poor families and rural communities disproportionately affected. Community health centres are positioned to improve access to quality child health services but capacity is often low and the systems for improvements are weak.MethodsSecondary analysis of child health program data from the Uttar Pradesh Technical Support Unit was used to delineate how program activities were temporally related to public facility readiness to provide child health services including inpatient admissions. Fifteen community health centres were mapped regarding capacity to provide child health services in July 2015. Mapped domains included human resources and training, infrastructure, equipment, drugs/supplies and child health services. Results were disseminated to district health managers. Six months following dissemination, Clinical Support Officers began regular supportive supervision and gaps were discussed monthly with health managers. Senior pediatric residents mentored medical officers over a three-month period. Improvements were assessed using a composite score of facility readiness for child health services in July 2016. Usage of outpatient and inpatient services by under-five children was also assessed.ResultsThe median essential composition score increased from 0.59 to 0.78 between July 2015 and July 2016 (maximum score of 1) and the median desirable composite increased from 0.44 to 0.58. The components contributing most to the change were equipment, drugs and supplies and service provision. Scores for trained human resources and infrastructure did not change between assessments. The number of facilities providing some admission services for sick children increased from 1 in July 2015 to 9 in October 2016.ConclusionsFacility readiness for the provision of child health services in Uttar Pradesh was improved with relatively low inputs and targeted assessment. However, these improvements were only translated into admissions for sick children when clinical mentoring was included in the support provided to facilities.

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The impact of natural disasters on child health and investments in rural India.

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The impact of natural disasters on child health and investments in rural India.

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