Using Evidence and Data to Design an Intervention in the Project Community Model for Fostering Health and Wellbeing Among Adolescent Mothers and Their Children

Datos Bibliográficos

ID22083554
AutoresNettie Dzabala (0000-0003-3655-0736, Christian Health Association of Malawi, autor de correspondencia), Mtisunge Kachingwe (Christian Health Association of Malawi), Ibrahim Chikowe (0000-0002-8231-9140, University of Malawi), Carol Chidandale (Christian Health Association of Malawi), Lotte van der Haar (Utrecht University)
Año2021
Volumen9
Páginas584575-584575
Fecha de publicación2021-02-26
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Public Health (JOURNAL)
Identificadores de la revistaISSN: 2296-2565 • E-ISSN: 2296-2565
EditorialFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2021.584575
PMID33732673
OpenAlexW3134720746
IdiomaEN
Citas recibidas2
Referencias citadas14

In this paper, quantitative and qualitative measurements of maternal psychosocial wellbeing were utilized in three districts in Malawi that guided decision-making to increase the wellbeing of adolescent mothers and promote the healthy upbringing of their children. The 1-year design stage of the study relied on several sources of information: literature search, prior project implementation of similar projects, discussions with officials at the Malawi Department of Social Welfare, and observation visits in the targeted districts. The approaches for collecting data mentioned were triangulated for the development of a baseline survey. The baseline survey generated systematically collected data of the experiences and recalls as well as the missing data from the preliminary evaluation of the existing data. The baseline data gave the Young Women's Christian Association (YWCA) insight on the type of intervention required in order to give a greater and more holistic effect on the beneficiaries. We also discuss the lessons we learned as to whether the assumptions we had made at the onset were correct. If they were not correct, we explained the measures we took to correct the design or implementation of the project. Finally, the data provided benchmarks for project monitoring and evaluation

Data collection · Impact evaluation · Medical education · Political science · Program evaluation · Psychiatry · Psychosocial · Qualitative property · Research design · Sociology · Survey data collection · Welfare · Applied Psychology · Computer Science · Food Security and Health in Diverse Populations · Maternal Mental Health During Pregnancy and Postpartum · Medicine · Poverty, Education, and Child Welfare · Psychology