A comprehensive assessment of the government of Tanzania health operation management information system using participatory action research
Cesilia Mambile & Augustino Mwogosi
What the paper says
Purpose This study uses a participatory action research (PAR) approach to evaluate the implementation and impact of the government of Tanzania health operation management information system (GoTHOMIS) on healthcare services in Tanzania. The primary objective is to assess the strengths, weaknesses and overall impact of GoTHOMIS. Design/methodology/approach The research uses a PAR methodology, involving active engagement with stakeholders from healthcare facilities, administrators and information technology experts. Data collection methods consist of key informant interviews and document analysis. The study strategically examines various aspects, including pre-implementation planning, challenges during implementation, system features and the strengths and weaknesses of GoTHOMIS. Furthermore, the focus extends to understanding the impact of GoTHOMIS on healthcare services. Findings The findings underscore critical areas for improvement, particularly in the pre-implementation planning stage. The study reveals issues related to a top-down approach and insufficient user participation, hindering the successful implementation of GoTHOMIS. Challenges such as inadequate infrastructure, power outages, missing diagnostic codes and compatibility issues with peripheral devices are identified. Despite these hurdles, GoTHOMIS exhibits strengths like improved accessibility, integration with the reporting system by the MTUHA government and automation of clinical tasks. Originality/value The study’s originality lies in applying a PAR approach to assess GoTHOMIS. This methodology provides valuable insights into the implementation challenges and suggests potential improvements. The study contributes to the existing body of knowledge by offering a detailed understanding of GoTHOMIS’s strengths and weaknesses, enhancing the potential for effective health management information systems.
6 citations
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.44 × 0.4 = 0.18 |
| M · momentum | 0.65 × 0.15 = 0.10 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.