Literature DB >> 27697233

Assessing the quality of routine data for the prevention of mother-to-child transmission of HIV: An analytical observational study in two health districts with high HIV prevalence in South Africa.

Edward Nicol1, Lilian Dudley2, Debbie Bradshaw3.   

Abstract

BACKGROUND: The prevention of mother-to-child transmission of HIV (PMTCT) is a key maternal and child-health intervention in the context of the HIV/AIDS pandemic in South Africa. Accordingly, the PMTCT programmes have been incorporated in the routine District Health Management Information System (DHMIS) which collects monthly facility-based data to support the management of public-health services. To date, there has been no comprehensive evaluation of the PMTCT information system.
OBJECTIVES: This study seeks to evaluate the quality of output indicators for monitoring PMTCT interventions in two health districts with high HIV prevalence.
METHODS: An analytical observational study was undertaken based on the Performance of Routine Information System Management (PRISM) framework and tools, including an assessment of the routine PMTCT data for quality in terms of accuracy and completeness. Data were collected from 57 public health facilities for six pre-defined PMTCT data elements by comparing the source registers with the routine monthly report (RMR), and the RMR with the DMHIS for January and April 2012. This was supplemented by the analysis of the monthly data reported routinely in the DMHIS for the period 2009-2012. Descriptive statistics, analysis of variance (ANOVA) and Bland Altman analysis were conducted using STATA® Version 13.
RESULTS: Although completeness was relatively high at 91% (95% CI: 78-100%) at facility level and 96% (95% CI: 92-100%) at district level, the study revealed considerable data quality concerns for the PMTCT information with an average accuracy between the register and RMR of 51% (95% CI: 44-58%) and between the RMR and DHMIS database of 84% (95% CI: 78-91%). We observed differences in the data accuracy by organisational authority. The poor quality of the data was attributed partly to insufficient competencies of health information personnel.
CONCLUSIONS: The study suggests that the primary point of departure for accurate data transfer is during the collation process. Institutional capacity to improve data quality at the facility level and ensure core competencies for routine health information system (RHIS)-related tasks are needed. Further exploration of the possible factors that may influence data accuracy, such as supervision, RHIS processes, training and leadership are needed. In particular understanding is needed about how individual actions can bring about changes in institutional routines.
Copyright © 2016 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Entities:  

Keywords:  Data accuracy; Data completeness; Data quality; District health information system (DHIS); Monitoring and evaluation (M&E); PMTCT; Performance of routine information systems management (PRISM); Routine health information system (RHIS); South Africa

Mesh:

Year:  2016        PMID: 27697233     DOI: 10.1016/j.ijmedinf.2016.09.006

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


  21 in total

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4.  Male Partners Involvement in Prevention of Mother-to-Child Transmission of HIV Services in Southern Central Ethiopia: In Case of Lemo District, Hadiya Zone.

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5.  Integrating the prevention of mother-to-child transmission of HIV into primary healthcare services after AIDS denialism in South Africa: perspectives of experts and health care workers - a qualitative study.

Authors:  Jean Claude Mutabazi; Corie Gray; Lorrein Muhwava; Helen Trottier; Lisa Jayne Ware; Shane Norris; Katherine Murphy; Naomi Levitt; Christina Zarowsky
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6.  Factors Affecting Uptake of PMTCT Services, Lodwar County Referral Hospital, Turkana County, Kenya, 2015 to 2016.

Authors:  Dominic Ongaki; Mark Obonyo; Nancy Nyanga; James Ransom
Journal:  J Int Assoc Provid AIDS Care       Date:  2019 Jan-Dec

7.  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
Journal:  BMC Health Serv Res       Date:  2017-12-04       Impact factor: 2.655

8.  Health management information system (HMIS) data verification: A case study in four districts in Rwanda.

Authors:  Alphonse Nshimyiryo; Catherine M Kirk; Sara M Sauer; Emmanuel Ntawuyirusha; Andrew Muhire; Felix Sayinzoga; Bethany Hedt-Gauthier
Journal:  PLoS One       Date:  2020-07-17       Impact factor: 3.240

9.  Quality of routine facility data for monitoring priority maternal and newborn indicators in DHIS2: A case study from Gombe State, Nigeria.

Authors:  Antoinette Alas Bhattacharya; Nasir Umar; Ahmed Audu; Habila Felix; Elizabeth Allen; Joanna R M Schellenberg; Tanya Marchant
Journal:  PLoS One       Date:  2019-01-25       Impact factor: 3.240

10.  What will it take for the Global Plan priority countries in Sub-Saharan Africa to eliminate mother-to-child transmission of HIV?

Authors:  Ameena E Goga; Thu-Ha Dinh; Shaffiq Essajee; Witness Chirinda; Anna Larsen; Mary Mogashoa; Debra Jackson; Mireille Cheyip; Nobubelo Ngandu; Surbhi Modi; Sanjana Bhardwaj; Esnat Chirwa; Yogan Pillay; Mary Mahy
Journal:  BMC Infect Dis       Date:  2019-09-16       Impact factor: 3.090

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