Paper Type

Complete

Paper Number

PACIS2026-1461

Description

Open-source health information systems (HIS) are increasingly implemented in countries with developing economies (CDEs). However, many implementations are distressed, persistently experiencing challenges that threaten sustained use and expected service delivery gains. Current literature describes barriers but remains limited in explaining how distress emerges. We conducted a critical realist literature review to identify generative mechanisms, structures, and enabling conditions that plausibly give rise to distress in open-source HIS implementations. A systematic search and quality appraisal produced 70 studies, analysed through retroduction. Eight interacting mechanisms were identified: workforce capacity, stakeholder engagement, workflow alignment, fragmentation, complexity, user satisfaction, integrated planning and development, and data quality, each constrained by characteristic structures and enabling conditions. We integrate these insights into a causal explanatory framework.

Comments

14-Healthcare

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Jul 5th, 12:00 AM

Mechanisms Influencing Distressed Implementation of Open-Source Health Information Systems in Countries with Developing Economies - A Critical Realist Review

Open-source health information systems (HIS) are increasingly implemented in countries with developing economies (CDEs). However, many implementations are distressed, persistently experiencing challenges that threaten sustained use and expected service delivery gains. Current literature describes barriers but remains limited in explaining how distress emerges. We conducted a critical realist literature review to identify generative mechanisms, structures, and enabling conditions that plausibly give rise to distress in open-source HIS implementations. A systematic search and quality appraisal produced 70 studies, analysed through retroduction. Eight interacting mechanisms were identified: workforce capacity, stakeholder engagement, workflow alignment, fragmentation, complexity, user satisfaction, integrated planning and development, and data quality, each constrained by characteristic structures and enabling conditions. We integrate these insights into a causal explanatory framework.