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Assessing the data quality of performance information generated by the health sector in the Breede Valley Subdistrict for evidence-based decision-making

Thesis (MPA)--Stellenbosch University, 2017.

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Main Author: Marais, Heinrich Jacques
Other Authors: Burger, Naomi
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2017
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access_status_str Open Access
author Marais, Heinrich Jacques
author2 Burger, Naomi
author_browse Burger, Naomi
Marais, Heinrich Jacques
author_facet Burger, Naomi
Marais, Heinrich Jacques
author_sort Marais, Heinrich Jacques
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MPA)--Stellenbosch University, 2017.
format Thesis
id oai:scholar.sun.ac.za:10019.1/100991
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:47:19.123Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2017
publishDateRange 2017
publishDateSort 2017
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/100991 Assessing the data quality of performance information generated by the health sector in the Breede Valley Subdistrict for evidence-based decision-making Marais, Heinrich Jacques Burger, Naomi Stellenbosch University. Faculty of Economic and Management Sciences. School of Public Leadership. Health services administrators -- Breede River Valley (South Africa) Information and communication technology (ICT) Data integrity UCTD Thesis (MPA)--Stellenbosch University, 2017. ENGLISH SUMMARY : Internationally, health authorities have shown an increased dependence on information and communication technology (ICT) to provide timely and reliable information that can inform decisions about the effective, efficient and equitable distribution of health resources. The usefulness of the information, however, is determined by the quality of the data which underpins it. Inaccurate data can lead to inappropriate priorities and actions on the part of decision-makers. The purpose of this study was to assess the data quality of performance information in the Breede Valley Subdistrict as a reliable source for evidence-based decision-making. To investigate this research question, a case study approach was followed. The management cadre in the subdistrict were consulted for data collection purposes. Data collection tools include face-to-face interviews and self-administered questionnaires. The study concluded that the data quality of performance information in the Breede Valley Subdistrict meets the quality criteria for its intended purposes. The study revealed that the collection of performance information is perceived as laborious and irrelevant to improving patient care. The study recommends that the risk control measures should be enforced at facilities who regularly present data quality issues. Further studies should be conducted to gain a representative opinion about the relevance and the quality of performance information generated AFRIKAANSE OPSOMMING : Gesondheidsowerhede wereldwyd is afhanklik van inligting-en-telekommunikasie tegnologie (ITK) om tydige en betroubare inligting oor die effektiewe en gelykmatige verspreiding van gesondheidsbronne te verskaf. Die doel van hierdie studie was om die data kwaliteit van prestasie-inligting in die Breede Vallei Subdistrik vir bewys-gebaseerde besluitneming te evauleer. ’n Gevallestudiebenadering is gebruik om die navorsingsvraag te ondersoek. Inligting is onder meer deur vraelyste en onderhoude met bestuurders in die subdistrik verkry. Die studie het bevind dat die data-kwaliteit van prestasie-inligting voldoen aan die kwaliteitskrieria vir die doel waarvoor dit gegenereer word. Die studie toon dat die versameling van prestasie-inligting uitputtend is en nie die kwaliteit van pasientesorg verbeter nie. Die studie beveel aan dat risiko-beheerkontroles in plek gestel word by fasiliteite wat voordurend data-kwailiteitkwessies het. Verdere studies moet onderneem word om ’n verteenwoordigende mening oor die relevansie en kwaliteit van prestasie-inligting te maak. Masters 2017-02-15T06:36:35Z 2017-03-29T11:55:08Z 2017-02-15T06:36:35Z 2017-03-29T11:55:08Z 2017-03 Thesis http://hdl.handle.net/10019.1/100991 en_ZA Stellenbosch University xvi, 136 pages ; illustrations, includes annexures application/pdf Stellenbosch : Stellenbosch University
spellingShingle Health services administrators -- Breede River Valley (South Africa)
Information and communication technology (ICT)
Data integrity
UCTD
Marais, Heinrich Jacques
Assessing the data quality of performance information generated by the health sector in the Breede Valley Subdistrict for evidence-based decision-making
title Assessing the data quality of performance information generated by the health sector in the Breede Valley Subdistrict for evidence-based decision-making
title_full Assessing the data quality of performance information generated by the health sector in the Breede Valley Subdistrict for evidence-based decision-making
title_fullStr Assessing the data quality of performance information generated by the health sector in the Breede Valley Subdistrict for evidence-based decision-making
title_full_unstemmed Assessing the data quality of performance information generated by the health sector in the Breede Valley Subdistrict for evidence-based decision-making
title_short Assessing the data quality of performance information generated by the health sector in the Breede Valley Subdistrict for evidence-based decision-making
title_sort assessing the data quality of performance information generated by the health sector in the breede valley subdistrict for evidence based decision making
topic Health services administrators -- Breede River Valley (South Africa)
Information and communication technology (ICT)
Data integrity
UCTD
url http://hdl.handle.net/10019.1/100991
work_keys_str_mv AT maraisheinrichjacques assessingthedataqualityofperformanceinformationgeneratedbythehealthsectorinthebreedevalleysubdistrictforevidencebaseddecisionmaking