Literature DB >> 15626634

Evaluation criteria for district health management information systems: lessons from the Ministry of Health, Kenya.

George W Odhiambo-Otieno1.   

Abstract

INTRODUCTION: There has been no comprehensive evaluation of the district health management information systems (DHMISs) since the establishment of these systems by the Ministry of Health (MoH), in Kenya. This is partly due to lack of defined criteria for evaluating the systems. The objective of this study is to design evaluation criteria for assessing the viability, sustainability and ultimate contribution of DHMIS in the management of the district health system (DHS) in Kenya.
METHODS: This descriptive cross-sectional study was undertaken in three DHSs in Kenya. Empirical evidence was collected through interviews, complemented by a comprehensive review of relevant literature, reports and operational manuals of various health information systems in Kenya.
RESULTS: A set of evaluation criteria for DHMISs in Kenya was designed for each of the three phases of implementation: phase one-pre-implementation evaluation criteria (categorized as policy and objectives, technical feasibility, financial viability, political viability and administrative operability) to be applied at the design stage; phase two-concurrent (operational) implementation evaluation criteria to be applied during implementation of the new system; phase three-post-implementation evaluation criteria (classified as internal-quality of information; external-resources and managerial support; ultimate-systems impact) to be applied after operating the implemented system for at least 3 years.
CONCLUSIONS: In designing a DHMIS model there is need to have built-in these three sets of evaluation criteria which should be used in a phased manner. Pre-implementation evaluation criteria should be used to evaluate the system's viability before more resources are committed to its implementation; concurrent (operational) implementation evaluation criteria should be used to ascertain the status of the on-going implementation with the view to either fine-tune or abandon it altogether before more resources are used on it; and post-implementation evaluation criteria should be used to assess its overall effectiveness (if it has achieved its hypothesized benefits) towards the management of DHS.

Entities:  

Mesh:

Year:  2005        PMID: 15626634     DOI: 10.1016/j.ijmedinf.2004.09.003

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  5 in total

1.  Criteria for the evaluation of a cloud-based hospital information system outsourcing provider.

Authors:  Chinyao Low; Ya Hsueh Chen
Journal:  J Med Syst       Date:  2012-02-26       Impact factor: 4.460

2.  Exploring how different modes of governance act across health system levels to influence primary healthcare facility managers' use of information in decision-making: experience from Cape Town, South Africa.

Authors:  Vera Scott; Lucy Gilson
Journal:  Int J Equity Health       Date:  2017-09-15

Review 3.  Key influences in the design and implementation of mental health information systems in Ghana and South Africa.

Authors:  S Ahuja; T Mirzoev; C Lund; A Ofori-Atta; S Skeen; A Kufuor
Journal:  Glob Ment Health (Camb)       Date:  2016-04-08

4.  PRISM framework: a paradigm shift for designing, strengthening and evaluating routine health information systems.

Authors:  Anwer Aqil; Theo Lippeveld; Dairiku Hozumi
Journal:  Health Policy Plan       Date:  2009-03-20       Impact factor: 3.344

5.  Assessing the ability of health information systems in hospitals to support evidence-informed decisions in Kenya.

Authors:  Elesban Kihuba; David Gathara; Stephen Mwinga; Mercy Mulaku; Rose Kosgei; Wycliffe Mogoa; Rachel Nyamai; Mike English
Journal:  Glob Health Action       Date:  2014-07-31       Impact factor: 2.640

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.