RESUMO
BACKGROUND: Disparities in the use of maternal, neonatal and child health (MNCH) services remain a concern in Low- and Middle-Income countries such as Nepal. Commonly observed disparities exist in education, income, ethnic groups, administrative regions and province-level in Nepal. In order to improve equitable outcomes for MNCH and to scale-up quality services, an Investment Case (IC) approach was lunched in the Asia Pacific region. The study assessed the impact of the IC intervention package in maternal and child health outcomes in Nepal. METHODS: The study used a quasi-experimental design extracting data from the Nepal Demographic Health Surveys - 2011 (pre-assessment) and 2016 (post-assessment) for 16 intervention and 24 control districts. A Difference in Difference (DiD) analysis was conducted to assess the impact of the intervention on maternal and child health outcomes. The linear regression method was used to calculate the DiD, adjusting for potential covariates. The final models were arrived by stepwise backward method including the confounding variables significant at p < 0.05. RESULTS: The results of the DiD analyses showed at least four antenatal care visits (ANC) decreased in the intervention area (DiD% = - 4.8), while the delivery conducted by skilled birth attendants increased (DiD% = 6.6) compared to control area. However, the adjusted regression coefficient showed that these differences were not significant, indicating a null effect of the intervention. Regarding the child health outcomes, children with underweight (DiD% = 6.3), and wasting (DiD% = 5.4) increased, and stunting (DiD% = - 6.3) decreased in the intervention area compared to control area. The adjusted regression coefficient showed that the difference was significant only for wasting (ß = 0.019, p = 0.002), indicating the prevalence of wasting increased in the intervention group compared to the control group. CONCLUSION: The IC approach implemented in Nepal did not show improvements in maternal and child health outcomes compared to control districts. The use of the IC approach to improve MCH in Nepal should be discussed and, if further used, the process of implementation should be strictly monitored and evaluated.
Assuntos
Serviços de Saúde da Criança , Serviços de Saúde Materna , Criança , Família , Feminino , Humanos , Recém-Nascido , Nepal/epidemiologia , Gravidez , Cuidado Pré-NatalRESUMO
BACKGROUND: Investment Case is a participatory approach that has been used over the years for better strategic actions and planning in the health sector. Based on this approach, a District Investment Case (DIC) program was launched to improve maternal, neonatal and child health services in partnership with government, non-government sectors and UNICEF Nepal. In the meantime, this study aimed to explore perceptions and experiences of local stakeholders regarding health planning and budgeting and explore the role of the DIC program in ensuring equity in access to maternal and child health services. METHODS: This study adopted an exploratory phenomenography design with a purposive sampling technique for data collection. Three DIC implemented districts and three comparison districts were selected and total 30 key informant interviews with district level stakeholders and six focus groups with community stakeholders were carried out. A deductive approach was used to explore the perception of local stakeholders of health planning and budgeting of the health care expenses on the local level. RESULTS: Investment Case approach helped stakeholders in planning systematically based on evidence through collaborative and participatory approach while in comparison areas previous year plan was mainly primarily considered as reference. Resource constraints and geographical difficulty were key barriers in executing the desired plan in both intervention and comparison districts. Positive changes were observed in coverage of maternal and child health services in both groups. A few participants reported no difference due to the DIC program. The participants specified the improvement in access to information, access and utilization of health services by women. This has influenced the positive health care seeking behavior. CONCLUSIONS: The decentralized planning and management approach at the district level helps to ensure equity in access to maternal, newborn and child health care. However, quality evidence, inclusiveness, functional feedback and support system and local resource utilization should be the key consideration.
Assuntos
Serviços de Saúde da Criança/estatística & dados numéricos , Planejamento em Saúde/economia , Acessibilidade aos Serviços de Saúde/estatística & dados numéricos , Serviços de Saúde Materna/estatística & dados numéricos , Participação dos Interessados , Adulto , Criança , Serviços de Saúde da Criança/economia , Pré-Escolar , Feminino , Pessoal de Saúde/estatística & dados numéricos , Humanos , Lactente , Recém-Nascido , Nascido Vivo/epidemiologia , Masculino , Serviços de Saúde Materna/economia , Pessoa de Meia-Idade , Nepal/epidemiologiaRESUMO
AIM: To evaluate the utility of diabetes prediction models for CVD prediction as stated in two earlier studies. METHODS: 845 subjects from the population based German KORA (Cooperative Health Research in the Region of Augsburg) S4/F4 cohort study (aged 55 to 74 years, without diabetes, former stroke, and former myocardial infarction at baseline) were followed for up to ten years for incident stroke and myocardial infarction. Seven diabetes risk scores developed from four different studies were applied to the KORA cohort to assess their predictive ability for CVD. RESULTS: Areas under the receiver-operating curve (AROCs) for the prediction of CVD ranged from 0.60 to 0.65 when diabetes risk scores were applied to the KORA cohort. When diabetes risk scores were used to predict CVD and type 2 diabetes, respectively, AROCs for the prediction of CVD were 0.09 to 0.24 lower than AROCs for the prediction of type 2 diabetes. Furthermore, we used KORA data to develop prediction models for either diabetes or CVD, and found that they differed widely in selected predictor variables. CONCLUSION: In the older population, diabetes risk scores are not useful for the prediction of CVD, and prediction models for diabetes and CVD, respectively, require different parameters.