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1.
Afr J Reprod Health ; 27(5s): 36-45, 2023 May.
Article in English | MEDLINE | ID: mdl-37584919

ABSTRACT

Attitudes on gender roles affect decision-making dynamics, resource distribution, and income-generating opportunities. However, little is known about how attitudes on gender roles differ by age group. Cross-sectional data collected from 1,113 households in Oromia, Ethiopia were used to assess differences in gender-related attitudes across female "youth" (ages 15-24), "young adults" (ages 25-34), and "older adults" (ages 35-49). Fifteen survey questions using a Likert scale measured attitudes on sexual and reproductive behaviors, expectations around livelihood activities, and perceived influence in household decision making. Associations between attitudes and age group were assessed using the Chi-squared test. Measures of perceived influence in decision making differed significantly by age group for household decisions about participation in wage employment, and use of revenue generated from wage employment, and crop and livestock production. Response patterns were consistent, with youth least likely to feel they have influence in decision making. The results suggest that policies and programs should continue to support the agency of female youth.


Subject(s)
Attitude , Reproductive Behavior , Young Adult , Humans , Female , Cross-Sectional Studies , Ethiopia , Sexual Behavior
2.
Health Inf Manag ; 51(2): 79-88, 2022 May.
Article in English | MEDLINE | ID: mdl-32700567

ABSTRACT

BACKGROUND: Evidence-based interventions are necessary for planning and investing in health information systems (HIS) and for strengthening those systems to collect, manage, sort and analyse health data to support informed decision-making. However, evidence and guidance on HIS strengthening in low- and middle-income countries have been historically lacking. OBJECTIVE: This article describes the approach, methods, lessons learned and recommendations from 5 years of applying our learning agenda to strengthen the evidence base for effective HIS interventions. METHODS: The first step was to define key questions about characteristics, stages of progression, and factors and conditions of HIS performance progress. We established a team and larger advisory group to guide the implementation of activities to build the evidence base to answer questions. We strengthened learning networks to share information. RESULTS: The process of applying the learning agenda provided a unique opportunity to learn by doing, strategically collecting information about monitoring and evaluating HIS strengthening interventions and building a body of evidence. There are now models and tools to strengthen HIS, improved indicators and measures, country HIS profiles, documentation of interventions, a searchable database of HIS assessment tools and evidence generated through syntheses and evaluation results. CONCLUSION: The systematic application of learning agenda processes and activities resulted in increased evidence, information, guidance and tools for HIS strengthening and a resource centre, making that information accessible and available globally. IMPLICATIONS: We describe the inputs, processes and lessons learned, so that others interested in designing a successful learning agenda have access to evidence of how to do so.


Subject(s)
Health Information Systems
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