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Chapter J.5
DHS Analytical Studies No. 41
Manual for use in primary care
Policy Brief | April 2015 | This brief accompanies the data sheet, Addressing Risk Factors for Noncommunicable Diseases Among Young People in Africa: Key to Prevention and Sustainable Development, and...
The objective of this project was to list the medical devices required to provide the essential reproductive, maternal, newborn and child health interventions defined by existing WHO guidelines and ...
Facilitator's Guide. This guide is designed to assist facilitators in training community health workers (CHWs) and community volunteers (CVs) in integrating community-based TB services into their work. The training will help community workers who al...
These standards for the quality of paediatric care in health facilities form part of normative
guidance for improving the quality of maternal, newborn, child and adolescent health care.
In view of the importance of the continuum of both the life-c...
he refugee flow to Ethiopia continued during 2018, with 36,1351 persons seeking safety and protection within the country’s borders. At the start of 2019, the nation hosted 905,8312 thousand refugees who were forced to flee their homes as a result ...
The Updated guidelines on Management of tuberculosis in children and adolescents include new recommendations that cover diagnostic approaches for TB, shorter treatment for children with non-severe drug-susceptible TB, a new option for the treatment ...
Report on the symposium 26–28 May 2015, New Babylon Meeting Center, The Hague
7 Febr. 2021
As COVID-19 continues to wreak havoc in countries – decimating people’s livelihoods, and leaving health systems struggling to provide healthcare and vaccines for the entire populat...
COVID-19 Vaccines: 1 Safety Surveillance 2 Manual
While there is no indication that pregnant women have an increased susceptibility to infection with SARS-CoV-2, there is evidence that pregnancy may increase the risk of severe illness and mortality...
Introduction Community health workers (CHWs) are increasingly being tasked to prevent and manage cardiovascular disease (CVD) and its risk factors in underserved populations in low-income ... middle-income countries (LMICs); however, little is known about the required training necessary for them to accomplish their role. This review aimed to evaluate the training of CHWs for the prevention and management of CVD and its risk factors in LMICs.
Methods A search strategy was developed in line with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, and five electronic databases (Medline, Global Health, ERIC, EMBASE and CINAHL) were searched to identify peer-reviewed studies published until December 2016 on the training of CHWs for prevention or control of CVD and its risk factors in LMICs. Study characteristics were extracted using a Microsoft Excel spreadsheet and quality assessed using Effective Public Health Practice Project’s Quality Assessment Tool. The search, data extraction and quality assessment were performed independently by two researchers.
Results The search generated 928 articles of which 8 were included in the review. One study was a randomised controlled trial, while the remaining were before–after intervention studies. The training methods included classroom lectures, interactive lessons, e-learning and online support and group discussions or a mix of two or more. All the studies showed improved knowledge level post-training, and two studies demonstrated knowledge retention 6 months after the intervention.
Conclusion The results of the eight included studies suggest that CHWs can be trained effectively for CVD prevention and management. However, the effectiveness of CHW trainings would likely vary depending on context given the differences between studies (eg, CHW demographics, settings and training programmes) and the weak quality of six of the eight studies. Well-conducted mixed-methods studies are needed to provide reliable evidence about the effectiveness and cost-effectiveness of training programmes for CHWs.
DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, ... Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index.
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, ... Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index.
