Journal article

A realist systematic review of evidence from low- and middle-income countries of interventions to improve immunization data use

The use of routine immunization data by health care professionals in low- and middle-income countries remains an underutilized resource in decision-making. Despite the significant resources invested in developing national health information systems, systematic reviews of the effectiveness of data use interventions are lacking. Applying a realist review methodology, this study synthesized evidence of effective interventions for improving data use in decision-making.

Languages

  • English

Publication year

2021

Publisher

BMC Health Services Research

Journal

BMC Health Services Research volume

Volume

21

Type

Journal article

Categories

  • Data

Tags

  • Data

Topic references

IDEA_materials_EN

TitleAuthorYearTypeLanguage
A Realist Review of What Works to Improve Data Use for ImmunizationPan American Health Organization (PAHO), PATH2019ReportEnglish
A realist systematic review of evidence from low- and middle-income countries of interventions to improve immunization data useAllison L. Osterman, Jessica C. Shearer, Nicole A. Salisbury2021Journal articleEnglish
Executive Summary: A Realist Review of What Works to Improve Data Use for ImmunizationPan American Health Organization (PAHO), PATH2019GuidanceEnglish
Immunization Data Evidence for Action (IDEA): Evidence Synthesis TablePan American Health Organization (PAHO), PATH2019ToolEnglish
Immunization Data Evidence for Action (IDEA): Top FindingsPan American Health Organization (PAHO), PATH2019GuidanceEnglish
Immunization Data: Evidence for Action (IDEA) Theory of Change: Supporting data-informed decision-making for immunization programsPan American Health Organization (PAHO), PATH2019ToolEnglish
Precis: A Realist Review of What Works to Improve Data Use for ImmunizationPan American Health Organization (PAHO), PATH2019GuidanceEnglish