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Assessment of facility-based tuberculosis data quality in an integrated HIV/TB database in three South African districts
BACKGROUND: Assessment of data quality is essential to successful monitoring & evaluation of tuberculosis (TB) services. South Africa uses the Three Interlinked Electronic Register (TIER.Net) to monitor TB diagnoses and treatment outcomes. We assessed the quality of routine programmatic data as...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021242/ https://www.ncbi.nlm.nih.gov/pubmed/36962485 http://dx.doi.org/10.1371/journal.pgph.0000312 |
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author | Murphy, Joshua P. Kgowedi, Sharon Coetzee, Lezanie Maluleke, Vongani Letswalo, Daniel Mongwenyana, Constance Subrayen, Pria Charalambous, Salome Mvusi, Lindiwe Dlamini, Sicelo Martinson, Neil Moolla, Aneesa Miot, Jacqui Evans, Denise |
author_facet | Murphy, Joshua P. Kgowedi, Sharon Coetzee, Lezanie Maluleke, Vongani Letswalo, Daniel Mongwenyana, Constance Subrayen, Pria Charalambous, Salome Mvusi, Lindiwe Dlamini, Sicelo Martinson, Neil Moolla, Aneesa Miot, Jacqui Evans, Denise |
author_sort | Murphy, Joshua P. |
collection | PubMed |
description | BACKGROUND: Assessment of data quality is essential to successful monitoring & evaluation of tuberculosis (TB) services. South Africa uses the Three Interlinked Electronic Register (TIER.Net) to monitor TB diagnoses and treatment outcomes. We assessed the quality of routine programmatic data as captured in TIER.Net. METHODS: We reviewed 277 records from routine data collected for adults who had started TB treatment for drug-sensitive (DS-) TB between 10/2018-12/2019 from 15 facilities across three South African districts using three sources and three approaches to link these (i.e., two approaches compared TIER.NET with the TB Treatment Record while the third approach compared all three sources of TB data: the TB treatment record or patient medical file; the TB Identification Register; and the TB module in TIER.Net). We report agreement and completeness of demographic information and key TB-related variables across all three data sources. RESULTS: In our first approach we selected 150 patient records from TIER.Net and found all but one corresponding TB Treatment Record (99%). In our second approach we were also able to find a corresponding TIER.Net record from a starting point of the paper-based, TB Treatment Record for 73/75 (97%) records. We found fewer records 55/75 (73%) in TIER.Net when we used as a starting point records from the TB Identification Register. Demographic information (name, surname, date of birth, and gender) was accurately reported across all three data sources (matching 90% or more). The reporting of key TB-related variables was similar across both the TB Treatment Record and the TB module in TIER.Net (p>0.05). We observed differences in completeness and moderate agreement (Kappa 0.41–0.60) for site of disease, TB treatment outcome and smear microscopy or X-ray as a diagnostic test (p<0.05). We observed more missing items for the TB Treatment record compared to TIER.Net; TB treatment outcome date and site of disease specifically. In comparison, TB treatment start dates as well as HIV-status recording had higher concordance. HIV status and lab results appeared to be more complete in the TB module in TIER.Net than in the TB Treatment Records, and there was “good/substantial” agreement (Kappa 0.61–0.80) for HIV status. DISCUSSION AND CONCLUSION: Our key finding was that the TB Module in TIER.Net was more complete in some key variables including TB treatment outcome. Most TB patient records we reviewed were found on TIER.Net but there was a noticeable gap of TB Identification patient records from the paper register as compared to TIER.Net, including those who tested TB-negative or HIV-negative. There is evidence of complete and “good/substantial” data quality for key TB-related variables, such as “First GeneXpert test result” and “HIV status.” Improvements in data completeness of TIER.Net compared to the TB Treatment Record are the most urgent area for improvement, especially recording of TB treatment outcomes. |
format | Online Article Text |
id | pubmed-10021242 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-100212422023-03-17 Assessment of facility-based tuberculosis data quality in an integrated HIV/TB database in three South African districts Murphy, Joshua P. Kgowedi, Sharon Coetzee, Lezanie Maluleke, Vongani Letswalo, Daniel Mongwenyana, Constance Subrayen, Pria Charalambous, Salome Mvusi, Lindiwe Dlamini, Sicelo Martinson, Neil Moolla, Aneesa Miot, Jacqui Evans, Denise PLOS Glob Public Health Research Article BACKGROUND: Assessment of data quality is essential to successful monitoring & evaluation of tuberculosis (TB) services. South Africa uses the Three Interlinked Electronic Register (TIER.Net) to monitor TB diagnoses and treatment outcomes. We assessed the quality of routine programmatic data as captured in TIER.Net. METHODS: We reviewed 277 records from routine data collected for adults who had started TB treatment for drug-sensitive (DS-) TB between 10/2018-12/2019 from 15 facilities across three South African districts using three sources and three approaches to link these (i.e., two approaches compared TIER.NET with the TB Treatment Record while the third approach compared all three sources of TB data: the TB treatment record or patient medical file; the TB Identification Register; and the TB module in TIER.Net). We report agreement and completeness of demographic information and key TB-related variables across all three data sources. RESULTS: In our first approach we selected 150 patient records from TIER.Net and found all but one corresponding TB Treatment Record (99%). In our second approach we were also able to find a corresponding TIER.Net record from a starting point of the paper-based, TB Treatment Record for 73/75 (97%) records. We found fewer records 55/75 (73%) in TIER.Net when we used as a starting point records from the TB Identification Register. Demographic information (name, surname, date of birth, and gender) was accurately reported across all three data sources (matching 90% or more). The reporting of key TB-related variables was similar across both the TB Treatment Record and the TB module in TIER.Net (p>0.05). We observed differences in completeness and moderate agreement (Kappa 0.41–0.60) for site of disease, TB treatment outcome and smear microscopy or X-ray as a diagnostic test (p<0.05). We observed more missing items for the TB Treatment record compared to TIER.Net; TB treatment outcome date and site of disease specifically. In comparison, TB treatment start dates as well as HIV-status recording had higher concordance. HIV status and lab results appeared to be more complete in the TB module in TIER.Net than in the TB Treatment Records, and there was “good/substantial” agreement (Kappa 0.61–0.80) for HIV status. DISCUSSION AND CONCLUSION: Our key finding was that the TB Module in TIER.Net was more complete in some key variables including TB treatment outcome. Most TB patient records we reviewed were found on TIER.Net but there was a noticeable gap of TB Identification patient records from the paper register as compared to TIER.Net, including those who tested TB-negative or HIV-negative. There is evidence of complete and “good/substantial” data quality for key TB-related variables, such as “First GeneXpert test result” and “HIV status.” Improvements in data completeness of TIER.Net compared to the TB Treatment Record are the most urgent area for improvement, especially recording of TB treatment outcomes. Public Library of Science 2022-09-28 /pmc/articles/PMC10021242/ /pubmed/36962485 http://dx.doi.org/10.1371/journal.pgph.0000312 Text en © 2022 Murphy et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Murphy, Joshua P. Kgowedi, Sharon Coetzee, Lezanie Maluleke, Vongani Letswalo, Daniel Mongwenyana, Constance Subrayen, Pria Charalambous, Salome Mvusi, Lindiwe Dlamini, Sicelo Martinson, Neil Moolla, Aneesa Miot, Jacqui Evans, Denise Assessment of facility-based tuberculosis data quality in an integrated HIV/TB database in three South African districts |
title | Assessment of facility-based tuberculosis data quality in an integrated HIV/TB database in three South African districts |
title_full | Assessment of facility-based tuberculosis data quality in an integrated HIV/TB database in three South African districts |
title_fullStr | Assessment of facility-based tuberculosis data quality in an integrated HIV/TB database in three South African districts |
title_full_unstemmed | Assessment of facility-based tuberculosis data quality in an integrated HIV/TB database in three South African districts |
title_short | Assessment of facility-based tuberculosis data quality in an integrated HIV/TB database in three South African districts |
title_sort | assessment of facility-based tuberculosis data quality in an integrated hiv/tb database in three south african districts |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021242/ https://www.ncbi.nlm.nih.gov/pubmed/36962485 http://dx.doi.org/10.1371/journal.pgph.0000312 |
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