Skip to main content
Top
Published in: BMC Medical Informatics and Decision Making 1/2014

Open Access 01-12-2014 | Research article

Strengthening district-based health reporting through the district health management information software system: the Ugandan experience

Authors: Vincent Micheal Kiberu, Joseph KB Matovu, Fredrick Makumbi, Carol Kyozira, Eddie Mukooyo, Rhoda K Wanyenze

Published in: BMC Medical Informatics and Decision Making | Issue 1/2014

Login to get access

Abstract

Background

Untimely, incomplete and inaccurate data are common challenges in planning, monitoring and evaluation of health sector performance, and health service delivery in many sub-Saharan African settings. We document Uganda’s experience in strengthening routine health data reporting through the roll-out of the District Health Management Information Software System version 2 (DHIS2).

Methods

DHIS2 was adopted at the national level in January 2011. The system was initially piloted in 4 districts, before it was rolled out to all the 112 districts by July 2012. As part of the roll-out process, 35 training workshops targeting 972 users were conducted throughout the country. Those trained included Records Assistants (168, 17.3%), District Health Officers (112, 11.5%), Health Management Information System Focal Persons (HMIS-FPs) (112, 11.5%), District Biostatisticians (107, 11%) and other health workers (473, 48.7%). To assess improvements in health reporting, we compared data on completeness and timeliness of outpatient and inpatient reporting for the period before (2011/12) and after (2012/13) the introduction of DHIS2. We reviewed data on the reporting of selected health service coverage indicators as a proxy for improved health reporting, and documented implementation challenges and lessons learned during the DHIS2 roll-out process.

Results

Completeness of outpatient reporting increased from 36.3% in 2011/12 to 85.3% in 2012/13 while timeliness of outpatient reporting increased from 22.4% to 77.6%. Similarly, completeness of inpatient reporting increased from 20.6% to 57.9% while timeliness of inpatient reporting increased from 22.5% to 75.6%. There was increased reporting on selected health coverage indicators (e.g. the reporting of one-year old children who were immunized with three doses of pentavelent vaccine increased from 57% in 2011/12 to 87% in 2012/13). Implementation challenges included limited access to computers and internet (34%), inadequate technical support (23%) and limited worker force (18%).

Conclusion

Implementation of DHIS2 resulted in improved timeliness and completeness in reporting of routine outpatient, inpatient and health service usage data from the district to the national level. Continued onsite support supervision and mentorship and additional system/infrastructure enhancements, including internet connectivity, are needed to further enhance the performance of DHIS2.
Appendix
Available only for authorised users
Literature
2.
go back to reference Ministry of Health, Health Systems 20/20, Makerere University School of Public Health: Uganda Health Systems Assessment. 2011, Kampala, Uganda and Bethesda, MD: Health Systems 20/20 Project, Abt Associates Inc, Available at: http://health.go.ug/docs/hsa.pdf. Accessed March 6, 2014 Ministry of Health, Health Systems 20/20, Makerere University School of Public Health: Uganda Health Systems Assessment. 2011, Kampala, Uganda and Bethesda, MD: Health Systems 20/20 Project, Abt Associates Inc, Available at: http://​health.​go.​ug/​docs/​hsa.​pdf. Accessed March 6, 2014
3.
go back to reference Makombe SD, Hochgesang M, Jahn A, Tweya H, Hedt B, Chuka S, Yu JK, Aberle-Grace J, Pasulani O, Bailey C, Kamoto K, Schouten EJ, Harries AD: Assessing the quality of data aggregated by antiretroviral treatment clinics in Malawi. Bull World Health Organ. 2008, 86: 310-314. 10.2471/BLT.07.044685.CrossRefPubMedPubMedCentral Makombe SD, Hochgesang M, Jahn A, Tweya H, Hedt B, Chuka S, Yu JK, Aberle-Grace J, Pasulani O, Bailey C, Kamoto K, Schouten EJ, Harries AD: Assessing the quality of data aggregated by antiretroviral treatment clinics in Malawi. Bull World Health Organ. 2008, 86: 310-314. 10.2471/BLT.07.044685.CrossRefPubMedPubMedCentral
4.
go back to reference Garrib A, Stoops N, McKenzie N, Dlamini L, Govender T, Rohde J, Herbst K: An evaluation of the District Health Information System in rural South Africa. S Afr Med J. 2008, 98: 549-552.PubMed Garrib A, Stoops N, McKenzie N, Dlamini L, Govender T, Rohde J, Herbst K: An evaluation of the District Health Information System in rural South Africa. S Afr Med J. 2008, 98: 549-552.PubMed
5.
go back to reference Chaulagai CN, Moyo CM, Koot J, Moyo HBM, Sambakunsi TC, Khunga FM, Naphini PD: Design and implementation of a health management information system in Malawi. Health Policy Plan. 2005, 20 (6): 375-384. 10.1093/heapol/czi044.CrossRefPubMed Chaulagai CN, Moyo CM, Koot J, Moyo HBM, Sambakunsi TC, Khunga FM, Naphini PD: Design and implementation of a health management information system in Malawi. Health Policy Plan. 2005, 20 (6): 375-384. 10.1093/heapol/czi044.CrossRefPubMed
6.
go back to reference Ayub MJB, Lars Ø, Ola D, Jeremiah M, Charles N: IST-Africa 2012 Conference Proceedings. National Roll out of District Health Information Software (DHIS 2) in Kenya. Ayub MJB, Lars Ø, Ola D, Jeremiah M, Charles N: IST-Africa 2012 Conference Proceedings. National Roll out of District Health Information Software (DHIS 2) in Kenya.
7.
go back to reference Rudman WJ, Bailey JH, Hope C, Garrett P, Brown CA, et al: The impact of a web-based reporting system on the collection of medication error occurrence data. Advances in Patient Safety: From research to implementation. Edited by: Henriksen K, Battles JB, Marks ES. 2005, Rockville, MD: Agency for Healthcare Research & Quality (US) Rudman WJ, Bailey JH, Hope C, Garrett P, Brown CA, et al: The impact of a web-based reporting system on the collection of medication error occurrence data. Advances in Patient Safety: From research to implementation. Edited by: Henriksen K, Battles JB, Marks ES. 2005, Rockville, MD: Agency for Healthcare Research & Quality (US)
8.
go back to reference Mphatswe W, Mate KS, Bennett B, Ngidi H, Reddy J, Barker PM, Rollins N: Improving public health information: a data quality intervention in Kwazulu-Natal, South Africa. Bull World Health Organ. 2012, 90: 176-182. 10.2471/BLT.11.092759.CrossRefPubMed Mphatswe W, Mate KS, Bennett B, Ngidi H, Reddy J, Barker PM, Rollins N: Improving public health information: a data quality intervention in Kwazulu-Natal, South Africa. Bull World Health Organ. 2012, 90: 176-182. 10.2471/BLT.11.092759.CrossRefPubMed
10.
go back to reference Kintu P, Nanyunja M, Nzabanita A, Magoola R: Development of HMIS in poor countries: Uganda as a case study. Health Policy Dev. 2005, 3 (1): 46-53. Kintu P, Nanyunja M, Nzabanita A, Magoola R: Development of HMIS in poor countries: Uganda as a case study. Health Policy Dev. 2005, 3 (1): 46-53.
Metadata
Title
Strengthening district-based health reporting through the district health management information software system: the Ugandan experience
Authors
Vincent Micheal Kiberu
Joseph KB Matovu
Fredrick Makumbi
Carol Kyozira
Eddie Mukooyo
Rhoda K Wanyenze
Publication date
01-12-2014
Publisher
BioMed Central
Published in
BMC Medical Informatics and Decision Making / Issue 1/2014
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/1472-6947-14-40

Other articles of this Issue 1/2014

BMC Medical Informatics and Decision Making 1/2014 Go to the issue