Skip to main content
Top
Published in: BMC Health Services Research 2/2017

Open Access 01-11-2017 | Research

Perceptions about data-informed decisions: an assessment of information-use in high HIV-prevalence settings in South Africa

Authors: Edward Nicol, Debbie Bradshaw, Jeannine Uwimana-Nicol, Lilian Dudley

Published in: BMC Health Services Research | Special Issue 2/2017

Login to get access

Abstract

Background

Information-use is an integral component of a routine health information system and essential to influence policy-making, program actions and research. Despite an increased amount of routine data collected, planning and resource-allocation decisions made by health managers for managing HIV programs are often not based on data. This study investigated the use of information, and barriers to using routine data for monitoring the prevention of mother-to-child transmission of HIV (PMTCT) programs in two high HIV-prevalence districts in South Africa.

Methods

We undertook an observational study using a multi-method approach, including an inventory of facility records and reports. The performance of routine information systems management (PRISM) diagnostic ‘Use of Information’ tool was used to assess the PMTCT information system for evidence of data use in 57 health facilities in two districts. Twenty-two in-depth interviews were conducted with key informants to investigate barriers to information use in decision-making. Participants were purposively selected based on their positions and experience with either producing PMTCT data and/or using data for management purposes. We computed descriptive statistics and used a general inductive approach to analyze the qualitative data.

Results

Despite the availability of mechanisms and processes to facilitate information-use in about two-thirds of the facilities, evidence of information-use (i.e., indication of some form of information-use in available RHIS reports) was demonstrated in 53% of the facilities. Information was inadequately used at district and facility levels to inform decisions and planning, but was selectively used for reporting and monitoring program outputs at the provincial level. The inadequate use of information stemmed from organizational issues such as the lack of a culture of information-use, lack of trust in the data, and the inability of program and facility managers to analyze, interpret and use information.

Conclusions

Managers’ inability to use information implied that decisions for program implementation and improving service delivery were not always based on data. This lack of data use could influence the delivery of health care services negatively. Facility and program managers should be provided with opportunities for capacity development as well as practice-based, in-service training, and be supported to use information for planning, management and decision-making.
Literature
1.
go back to reference World Health Organization. Health metrics network: framework and standards for country health information systems. Geneva: World Health Organization; 2008. World Health Organization. Health metrics network: framework and standards for country health information systems. Geneva: World Health Organization; 2008.
5.
go back to reference Aqil A. PRISM case studies. Strengthening and evaluating RHIS. Chapel Hill: Carolina Population Center, University of North Carolina. MEASURE Evaluation; 2008. Aqil A. PRISM case studies. Strengthening and evaluating RHIS. Chapel Hill: Carolina Population Center, University of North Carolina. MEASURE Evaluation; 2008.
8.
go back to reference Nicol E, Bradshaw D. Maternal, newborn and child survival: data challenges. In: Fonn S, Padarath A, editors. South African health review. Durban: Health Systems Trust; 2010. p. 73–8. Nicol E, Bradshaw D. Maternal, newborn and child survival: data challenges. In: Fonn S, Padarath A, editors. South African health review. Durban: Health Systems Trust; 2010. p. 73–8.
12.
go back to reference Kumalo F. Health management information systems. In: Ijumba P, Padarath A, editors. South African health review 2006. Durban: Health Systems Trust; 2006. p. 65–76. Kumalo F. Health management information systems. In: Ijumba P, Padarath A, editors. South African health review 2006. Durban: Health Systems Trust; 2006. p. 65–76.
13.
go back to reference Rohde JE, Shaw V, Hedberg C, Stoops N, Venter S, Venter K, Matshisi L. Information for primary health care. In: Barron P, Roma-Reardon J, editors. South African health review 2008. Durban: Health Systems Trust; 2008. p. 195–210. Rohde JE, Shaw V, Hedberg C, Stoops N, Venter S, Venter K, Matshisi L. Information for primary health care. In: Barron P, Roma-Reardon J, editors. South African health review 2008. Durban: Health Systems Trust; 2008. p. 195–210.
15.
go back to reference MEASURE Evaluation. Tools for Data Demand and Use in the Health Sector Performance of Routine Information Systems Management (PRISM) Tools. Chapel Hill: MEASURE Evaluation; 2011. MEASURE Evaluation. Tools for Data Demand and Use in the Health Sector Performance of Routine Information Systems Management (PRISM) Tools. Chapel Hill: MEASURE Evaluation; 2011.
16.
go back to reference World Health Organization. Health metrics network: assessing the national health information system: an assessment tool. – version 4.00. Geneva: WHO; 2008. Available from: https://books.google.co.za/books?id=rNNdgDGxj1UC&printsec=frontcover&source=gbs_ViewAPI&redir_esc=y#v=onepage&q&f=false. Accessed 18 Mar 2016 World Health Organization. Health metrics network: assessing the national health information system: an assessment tool. – version 4.00. Geneva: WHO; 2008. Available from: https://​books.​google.​co.​za/​books?​id=​rNNdgDGxj1UC&​printsec=​frontcover&​source=​gbs_​ViewAPI&​redir_​esc=​y#v=onepage&q&f=false. Accessed 18 Mar 2016
17.
go back to reference Patton MQ. Utilization-focused evaluation., 4th edition. Los Angeles: Safe Publications; 2008. Patton MQ. Utilization-focused evaluation., 4th edition. Los Angeles: Safe Publications; 2008.
20.
go back to reference Warburton A, Bate L, Long A. The demand for and use of outcomes information. Health Libr Rev. 1994;11(4):253–61.CrossRefPubMed Warburton A, Bate L, Long A. The demand for and use of outcomes information. Health Libr Rev. 1994;11(4):253–61.CrossRefPubMed
22.
go back to reference Garrib A, Stoops N, McKenzie A, 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;98:549–52.PubMed Garrib A, Stoops N, McKenzie A, 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;98:549–52.PubMed
23.
go back to reference MEASURE Evaluation. A review of constraints to using data for decision making: recommendations to inform the design of interventions. Chapel Hill: Carolina Population Center, University of North Carolina; MEASURE Evaluation; 2010. MEASURE Evaluation. A review of constraints to using data for decision making: recommendations to inform the design of interventions. Chapel Hill: Carolina Population Center, University of North Carolina; MEASURE Evaluation; 2010.
26.
go back to reference National Department of Health. DHIS standard operating procedures and guidelines. Pretoria: Department of Health; 2011. National Department of Health. DHIS standard operating procedures and guidelines. Pretoria: Department of Health; 2011.
27.
go back to reference National Department of Health. Joint review of HIV, TB and PMTCTProgrammes in South Africa: main report. Pretoria: NDOH; 2014. National Department of Health. Joint review of HIV, TB and PMTCTProgrammes in South Africa: main report. Pretoria: NDOH; 2014.
29.
30.
go back to reference Solarsh G, Goga A. Child health. In: Ijumba P, Day C, Ntuli A, editors. South African health review 2003/04. Durban: Health Systems Trust; 2004. p. 101–26. Solarsh G, Goga A. Child health. In: Ijumba P, Day C, Ntuli A, editors. South African health review 2003/04. Durban: Health Systems Trust; 2004. p. 101–26.
31.
go back to reference Kimaro HC, Twaakyondo HM. Analysing the hindrance to the use of information and technology for improving efficiency of health care delivery system in Tanzania. Tanzan Health Res Bull. 2005;7(3):189–97.PubMed Kimaro HC, Twaakyondo HM. Analysing the hindrance to the use of information and technology for improving efficiency of health care delivery system in Tanzania. Tanzan Health Res Bull. 2005;7(3):189–97.PubMed
32.
go back to reference Burn A, Shongwe G. Monitoring hospital care in South Africa: development and use of indictors in hospital service management. In: Ijumba P, Day C, Ntuli A, editors. South African health review 2003/2004. Durban: Health Systems Trust; 2004. p. 29–41. Burn A, Shongwe G. Monitoring hospital care in South Africa: development and use of indictors in hospital service management. In: Ijumba P, Day C, Ntuli A, editors. South African health review 2003/2004. Durban: Health Systems Trust; 2004. p. 29–41.
33.
go back to reference Nicol E. Evaluating the process and output indicators for maternal, newborn, and child survival in South Africa: A comparative study of PMTCT information systems in KwaZulu-Natal and the Western Cape. PhD Thesis. SUNScholar: Stellenbosch University; 2015. http://hdl.handle.net/10019.1/97073. Nicol E. Evaluating the process and output indicators for maternal, newborn, and child survival in South Africa: A comparative study of PMTCT information systems in KwaZulu-Natal and the Western Cape. PhD Thesis. SUNScholar: Stellenbosch University; 2015. http://​hdl.​handle.​net/​10019.​1/​97073.
35.
go back to reference Heywood A, Rohde J. Using information for action. A manual for health workers at facility level. Arcadia, Pretoria: The Equity Project; 2001. Heywood A, Rohde J. Using information for action. A manual for health workers at facility level. Arcadia, Pretoria: The Equity Project; 2001.
36.
go back to reference MEASURE Evaluation. Decision maker perceptions in Kenya and Nigeria: an assessment of data use constraints. Chapel Hill: Carolina Population Center, University of North Carolina; MEASURE Evaluation; 2010. MEASURE Evaluation. Decision maker perceptions in Kenya and Nigeria: an assessment of data use constraints. Chapel Hill: Carolina Population Center, University of North Carolina; MEASURE Evaluation; 2010.
37.
go back to reference Harrison T. A facility-level assessment of data use constraints in Uganda. MEASURE Evaluation: Chapel Hill; 2010. Harrison T. A facility-level assessment of data use constraints in Uganda. MEASURE Evaluation: Chapel Hill; 2010.
40.
go back to reference English R, Masilela T, Barron P, Schönfeldt A. Health information Systems in South Africa. In: Padarath A, English R, editors. South African health review 2011. Durban: Health Systems Trust; 2011. p. 81–90. English R, Masilela T, Barron P, Schönfeldt A. Health information Systems in South Africa. In: Padarath A, English R, editors. South African health review 2011. Durban: Health Systems Trust; 2011. p. 81–90.
41.
go back to reference AbouZahr C, Boerma T. Health information systems: the foundations of public health. Bull World Health Organ. 2005;83(8):578–83. doi: /S0042–96862005000800010PubMedPubMedCentral AbouZahr C, Boerma T. Health information systems: the foundations of public health. Bull World Health Organ. 2005;83(8):578–83. doi: /S0042–96862005000800010PubMedPubMedCentral
44.
go back to reference MEASURE Evaluation. Improving Demand for and Use of Data Strengthens HIV/AIDS Programs in Rwanda. Chapel Hill: University of North Carolina; 2012. MEASURE Evaluation. Improving Demand for and Use of Data Strengthens HIV/AIDS Programs in Rwanda. Chapel Hill: University of North Carolina; 2012.
46.
go back to reference Kamadjeu RM, Tapang EM, Moluh RN. Designing and implementing an electronic health record system in primary care practice in sub-Saharan Africa: a case study from Cameroon. Inform Prim Care. 2005;13(3):179–86.PubMed Kamadjeu RM, Tapang EM, Moluh RN. Designing and implementing an electronic health record system in primary care practice in sub-Saharan Africa: a case study from Cameroon. Inform Prim Care. 2005;13(3):179–86.PubMed
47.
go back to reference Lorenzi NM, Riley RT, Blyth AJ, Southon G, Dixon BJ. Antecedents of the people and organizational aspects of medical informatics: review of the literature. J Am Med Inform Assoc. 1997;4(2):79–93.CrossRefPubMedPubMedCentral Lorenzi NM, Riley RT, Blyth AJ, Southon G, Dixon BJ. Antecedents of the people and organizational aspects of medical informatics: review of the literature. J Am Med Inform Assoc. 1997;4(2):79–93.CrossRefPubMedPubMedCentral
48.
go back to reference Taylor C. Building cultures for sustainability. Oxford Lead J. 2009;1:1–3. Available from: http://www.oxfordleadership.com/journal/vol1_issue1/taylor.pdf. Accessed 04 Apr 2016 Taylor C. Building cultures for sustainability. Oxford Lead J. 2009;1:1–3. Available from: http://​www.​oxfordleadership​.​com/​journal/​vol1_​issue1/​taylor.​pdf.​ Accessed 04 Apr 2016
Metadata
Title
Perceptions about data-informed decisions: an assessment of information-use in high HIV-prevalence settings in South Africa
Authors
Edward Nicol
Debbie Bradshaw
Jeannine Uwimana-Nicol
Lilian Dudley
Publication date
01-11-2017
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue Special Issue 2/2017
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-017-2641-1

Other articles of this Special Issue 2/2017

BMC Health Services Research 2/2017 Go to the issue