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Trends in, and projections of, indicators of universal health coverage in Bangladesh, 1995-2030: a Bayesian analysis of population-based household data.
Rahman, Md Shafiur; Rahman, Md Mizanur; Gilmour, Stuart; Swe, Khin Thet; Krull Abe, Sarah; Shibuya, Kenji.
Affiliation
  • Rahman MS; Department of Global Health Policy, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; Global Public Health Research Foundation, Dhaka, Bangladesh. Electronic address: sohelruhrd@gmail.com.
  • Rahman MM; Department of Global Health Policy, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; Global Public Health Research Foundation, Dhaka, Bangladesh; Department of Population Science and Human Resource Development, University of Rajshahi, Rajshahi, Bangladesh; Institute for Global Health
  • Gilmour S; Department of Global Health Policy, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
  • Swe KT; Department of Global Health Policy, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
  • Krull Abe S; Department of Global Health Policy, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.
  • Shibuya K; Department of Global Health Policy, Graduate School of Medicine, University of Tokyo, Tokyo, Japan; Institute for Global Health Policy Research, National Center for Global Health and Medicine, Tokyo, Japan.
Lancet Glob Health ; 6(1): e84-e94, 2018 01.
Article in En | MEDLINE | ID: mdl-29241620
ABSTRACT

BACKGROUND:

Many countries are implementing health system reforms to achieve universal health coverage (UHC) by 2030. To understand the progress towards UHC in Bangladesh, we estimated trends in indicators of the health service and of financial risk protection. We also estimated the probability of Bangladesh's achieving of UHC targets of 80% essential health-service coverage and 100% financial risk protection by 2030.

METHODS:

We estimated the coverage of UHC indicators-13 prevention indicators and four treatment indicators-from 19 nationally representative population-based household surveys done in Bangladesh from Jan 1, 1991, to Dec 31, 2014. We used a Bayesian regression model to estimate the trend and to predict the coverage of UHC indicators along with the probabilities of achieving UHC targets of 80% coverage of health services and 100% coverage of financial risk protection from catastrophic and impoverishing health payments by 2030. We used the concentration index and relative index of inequality to assess wealth-based inequality in UHC indicators.

FINDINGS:

If the current trends remain unchanged, we estimated that coverage of childhood vaccinations, improved water, oral rehydration treatment, satisfaction with family planning, and non-use of tobacco will achieve the 80% target by 2030. However, coverage of four antenatal care visits, facility-based delivery, skilled birth attendance, postnatal checkups, care seeking for pneumonia, exclusive breastfeeding, non-overweight, and adequate sanitation were not projected to achieve the target. Quintile-specific projections showed wide wealth-based inequality in access to antenatal care, postnatal care, delivery care, adequate sanitation, and care seeking for pneumonia, and this inequality was projected to continue for all indicators. The incidence of catastrophic health expenditure and impoverishment were projected to increase from 17% and 4%, respectively, in 2015, to 20% and 9%, respectively, by 2030. Inequality analysis suggested that wealthiest households would disproportionately face more financial catastrophe than the most disadvantaged households.

INTERPRETATION:

Despite progress, Bangladesh will not achieve the 2030 UHC targets unless the country scales up interventions related to maternal and child health services, and reforms health financing systems to avoid high dependency on out-of-pocket payments. The introduction of a national health insurance system, increased public funding for health care, and expansion of community-based clinics in rural areas could help to move the country towards UHC.

FUNDING:

Japan Ministry of Health, Labour, and Welfare.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Universal Health Insurance Type of study: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Aspects: Equity_inequality Limits: Humans Country/Region as subject: Asia Language: En Journal: Lancet Glob Health Year: 2018 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Universal Health Insurance Type of study: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Aspects: Equity_inequality Limits: Humans Country/Region as subject: Asia Language: En Journal: Lancet Glob Health Year: 2018 Document type: Article