BackgroundMeasurement of antenatal care (ANC) service coverage is often limited to the number of contacts or type of providers, reflecting a gap in the assessment of quality as well as cost estimations and health impact. The study aims to determine service subcomponents and provider and patient costs of ANC services and compares them between community (i.e. satellite clinics) and facility care (i.e. primary and secondary health centers) settings in rural Bangladesh.MethodsService contents and cost data were collected by one researcher and four interviewers in various community and facility health care settings in Gaibandha district between September and December 2016. We conducted structured interviews with organization managers, observational studies of ANC service provision (n = 70) for service contents and provider costs (service and drug costs) and exit interviews with pregnant women (n = 70) for patient costs (direct and indirect costs) in health clinics at community and facility levels. Fisher’s exact tests were used to determine any different patient characteristics between community and facility settings. ANC service contents were assessed by 63 subitems categorized into 11 groups and compared within and across community and facility settings. Provider and patient costs were collected in Bangladesh taka and analyzed as 2016 US Dollars (0.013 exchange rate).ResultsWe found generally similar provider and patient characteristics between the community and facility settings except in clients’ gestational age. High compliance (> 50%) of service subcomponents were observed in blood pressure monitoring, weight measurement, iron and folate supplementation given, and tetanus vaccine, while lower compliance of service subcomponents (< 50%) were observed in some physical examinations such as edema and ultrasonogram and routine tests such as blood test and urine test. Average unit costs of ANC service provision were about double at the facility level ($2.75) compared with community-based care ($1.62). ANC patient costs at facilities ($2.66) were about three times higher than in the community ($0.78).ConclusionThe study reveals a delay in pregnant women’s initial ANC care seeking, gaps in compliance of ANC subcomponents and difference of provider and patient costs between facility and community settings.

Background The Cholera-Hospital-Based-Intervention-for-7-days (CHoBI7) mobile health (mHealth) program was a cluster-randomized controlled trial of diarrhea patient households conducted in Dhaka, Bangladesh. Methods Patients were block-randomized to three arms: standard recommendation on oral rehydration solution use; health facility delivery of CHoBI7 plus mHealth (no home visits); and health facility delivery of CHoBI7 plus two home visits and mHealth. The primary outcome was reported diarrhea in the past two weeks collected monthly for 12 months. The secondary outcomes were stunting, underweight, and wasting at a 12 month follow-up. Analysis was intention-to-treat. The trial is registered at ClinicalTrials.gov (NCT04008134). Results Between December 4, 2016 and April 26, 2018, 2626 participants in 769 households were randomly allocated to three arms: 849 participants to standard message, 886 to mHealth with no home visits, and 891 to mHealth with two home visits. Children under five years had significantly lower 12-month diarrhea prevalence in both the mHealth with two home visits arm (Prevalence Ratio(PR): 0.73 (95% Confidence Interval(CI): 0.61, 0.87)) and the mHealth with no home visits arm (PR: 0.82 (95% CI: 0.69, 0.97)). Children under 2 years were significantly less likely to be stunted in both the mHealth with two home visits arm (33% vs. 45%, Odds Ratio(OR): 0.55, 95% CI: 0.31, 0.97) and the mHealth with no home visits arm (32% vs. 45%, OR: 0.54, 95% CI: 0.31, 0.96) compared to children in the standard message arm. Conclusion The CHoBI7 mHealth program lowered pediatric diarrhea and stunting among diarrhea patient households.

Little is known of the usual food intakes of rural adolescents in South Asia. This study describes dietary patterns, based on >91,000 7-day food frequencies among 30,702 girls and boys, aged 9-15 years in rural northwest Bangladesh. Three intake assessments per child, taken across a calendar year, were averaged to represent individual annual intake patterns for 22 food groups. Latent class analysis was used to assign individuals to dietary patterns based on class membership probabilities. The following five dietary patterns (class membership probabilities) were identified: (1) "least diverse" (0.20); (2) "traditional" (0.28); (3) "low vegetable/low fish" (0.23), (4) "moderately high meat" (0.20); and (5) "most diverse" (0.09). The least diverse pattern had the lowest median consumption of most foods and traditional had a relatively higher intake of most vegetables and fish. The most diverse pattern consumed both healthy and processed foods much more often than other patterns. The two most diverse patterns (4 and 5) were associated with higher socioeconomic status, body mass index, height-for-age Z-score, and male gender, and the least diverse pattern showed inverse associations with these characteristics. The most diverse pattern may represent an early wave of the nutrition transition in rural Bangladesh.

ObjectiveWe examined the incremental cost-effectiveness between two mHealth programs, implemented from 2011 to 2015 in rural Bangladesh: (1) Comprehensive mCARE package as an intervention group and (2) Basic mCARE package as a control group.MethodsBoth programs included a core package of census enumeration and pregnancy surveillance provided by an established cadre of digitally enabled community health workers (CHWs). In the comprehensive mCARE package, short message service (SMS) and home visit reminders were additionally sent to pregnant women (n = 610) and CHWs (n = 70) to promote the pregnant women’s care-seeking of essential maternal and newborn care services. Economic costs were assessed from a program perspective inclusive of development, start-up, and implementation phases. Effects were calculated as disability adjusted life years (DALYs) and the number of newborn deaths averted. For comparative purposes, we normalized our evaluation to estimate total costs and total newborn deaths averted per 1 million people in a community for both groups. Uncertainty was assessed using probabilistic sensitivity analyses with Monte Carlo simulation.ResultsThe addition of SMS and home visit reminders based on a mobile phone-facilitated pregnancy surveillance system was highly cost effective at a cost per DALY averted of $31 (95% uncertainty range: $19–81). The comprehensive mCARE program had at least 88% probability of being highly cost-effective as compared to the basic mCARE program based on the threshold of Bangladesh’s GDP per capita.ConclusionmHealth strategies such as SMS and home visit reminders on a well-established pregnancy surveillance system may improve service utilization and program cost-effectiveness in low-resource settings.