A learning agenda to build the evidence base for strengthening global health information systems.
Health Inf Manag
; 51(2): 79-88, 2022 May.
Article
em En
| 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.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Sistemas de Informação em Saúde
Tipo de estudo:
Prognostic_studies
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article