Background: Malnutrition is a leading cause of mortality and morbidity among children in low- and middle-income countries. Ghana is one of 36 countries with the highest burden of stunting, globally. The aim of this work is to use data driven planning methods to conduct in-depth analysis on the Lancet series nutrition interventions in Ghana to inform nutritional strategic planning. Methods: A mixed methods approach was employed for this national nutritional assessment conducted in May 2016. Quantitative data on nutritional interventions were generated by application of the Determinants Analysis Tool and phenomenological approach was employed to explain the causes of barriers identified. Outputs from the tool were analyzed by simple descriptive statistics and data from group discussions were assessed by thematic content analysis. The base line years for this assessment were 2014 and 2015. Results: Overall in Ghana, 21.0% of frontline health workers are trained on lactation management and breastfeeding counselling and support, 56.6% of mothers of children 0-2 years initiated breastfeeding within one hour of birth, and 59.4% of mothers with children 0-5 months took iron folate supplementation for 90 or more days during pregnancy. In addition, only 19.9% of children 12-59 months received two doses of vitamin A supplementation in a calendar year, and 32.5% of children 6-59 months with severe acute malnutrition were admitted for treatment at health facilities. In all, among infants 6-8 months old, 6.9% were fed with minimum dietary diversity, 50.6% received age appropriate meal frequency and 21.6% received iron rich diet. Inadequate pre-service and in-service training for staff, low prioritization and coordination (at higher levels) and weak integration of services (at lower levels) were key barriers to nutrition coverage in Ghana. Conclusion: Data driven analysis and planning based on proven nutritional interventions in Ghana demonstrated gaps and barriers and garnered workable strategies to improve nutrition services.
Mixed methods approach were employed for this national nutritional assessment conducted in May 2016. Quantitative data on nutritional interventions was generated by application of the Determinants Analysis Tool and phenomenological approach was employed to explain the causes of barriers identified. Four participants (Regional Deputy Director of Public Health, Regional Public Health Nurse, Regional Nutrition Officer and Regional Health Information Officer) were purposively selected from each of the ten administrative regions in the Ghana due to their background and role in nutrition services. In addition local facilitators (Nutrition Unit of the Ghana Health Service) and representatives from some development partners (including UNICEF, WHO and World Food Programme (WFP) participated. Ghana has ten administrative regions, and officers from all ten regions were included to provide a nationwide representation. The national assessment was undertaken in the Ashanti Region of Ghana for three days to assess barriers to coverage of nutrition services and included desk review, group discussions and key informants interviews. Facilitators assisted in the desk reviews, conduct of interviews and provided mentoring and coaching on capturing major issues and recording of key points from the group discussion. Main causes of identified bottlenecks to the nutritional interventions were thematically analysed through a phenomenological approach under service delivery factors and enabling environment factors through group discussions. Phenomenological approach was used to allow a deeper understanding of an event or phenomenon by looking at the story of the group who experienced a shared lived experience or phenomenon [16]. Six teams made up of regional, national and international personnel were formed in line with the key interventions to provide qualitative explanation and assessment of the outputs from the tool. The Determinants Analysis framework is premised on the notion that effective coverage of services is influenced by four main factors or determinants namely: supply, demand, quality and environment. The Ten Determinant Model Tool produces a graphical output (Fig. 1) that facilitates identification of the key bottlenecks. Graphical presentation of the determinants analysis framework. Description of figure: The figure describes the supply side, demand side and effective coverage determinants and how bottlenecks are determined Overall, the Ten Determinant Model used for this nutrition assessment in Ghana had FOUR Domains with TEN Determinants: Enabling Environment (Social Norms, Management/Coordination, Legislation/Policy and Budget/Expenditures); Supply (Commodities, Human Resource and Access); Demand (Initial Utilisation, Continuous Utilisation/Knowledge) and Effective Coverage/Behaviour [17, 18]. Identification of the low bars on the supply-determinant side of the graph as well as a sharp drop from one bar to the next on the demand and quality-determinant side of the graph enables managers to identify and prioritize bottlenecks to the effective health service coverage. The Ten Determinant Model is based on Microsoft Excel sheets linked together with sections for data inputs linked to outputs. Input data produce simple bar graphs that display the determinants of health service coverage and thus facilitate identification of key bottlenecks that influence effective coverage (illustrated in Fig. 1). The section for data input is fully linked with the section that displays the outputs. The tool directly utilised data from District Health Information Management System (DHIMS), Multi-Indicator Cluster Survey (MICS) Reports [19], Demographic and Health Surveys (DHS) [20] and other sources of data including programme monitoring and review reports. The DHIMS is a tool for collection, validation, analysis, and presentation of aggregate statistical data, tailored to integrated health information management activities in the Ghana Health Service. Six key nutrition tracer interventions based on The Lancet Series-Maternal and Child Nutrition [15], were selected as, Community Management of Acute Malnutrition (CMAM), Complementary Feeding, Early Initiation to Breastfeeding, Exclusive Breastfeeding, Vitamin A Supplementation, and Iron-Folic Acid Supplementation. Each intervention was assessed based on a particular delivery platform (as individualized facility based services or schedulable and outreach services or as family oriented practices and community based services) to enable accurate identification of barriers and bottlenecks. In this analysis, minimum acceptable diet for complementary feeding was assessed using two sub components-minimum dietary diversity and age appropriate meal frequency as specified in the Ministry of Health National Nutrition Policy of Ghana [12]. Each of the six thematic groups had a moderator and a recorder. Data from group discussions were organized and described using manual thematic content analysis for qualitative data. Each group worked on a different theme to eliminated the issue of duplication and repetition of information among the groups. Quantitative data were analyzed with simple descriptive statistics (i.e. proportions and percentages) by Microsoft Excel 2013. The base line years for this assessment were 2014 and 2015 and national coverage targets were used as the benchmark to assess these coverage indicators. Outputs from the tool were analyzed by simple descriptive statistics such as frequency, proportions and ratios. The determinants analysis principles were applied to identify bottlenecks. Causality analysis were conducted to identify barriers resulting in these bottleneck. This formed the basis in determining strategies to remove the bottlenecks on nutritional deprivation in Ghana. All data used was aggregated data at national level and had no link to individuals. In all cases, documentations and computerized records were kept secure and accessible to persons directly involved in developing the operational plans. The Ghana Health Service Ethics Review Committee and office of the Policy, Planning, Monitoring and Evaluation Division of the Ghana Health Service gave approval for documentation and dissemination of the Determinant Analysis process in Ghana.
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