Evidence map›Paper›PMID 36962485›Full record

ArticlePLOS global public health2022

Assessment of facility-based tuberculosis data quality in an integrated HIV/TB database in three South African districts.

Joshua P Murphy, Sharon Kgowedi, Lezanie Coetzee, Vongani Maluleke, Daniel Letswalo, Constance Mongwenyana, Pria Subrayen, Salome Charalambous, Lindiwe Mvusi, Sicelo Dlamini and 4 more

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 1 country.

Joshua P MurphyHealth Economics and Epidemiology Research Office (HE2RO), University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0001-5466-3131
Sharon KgowediHealth Economics and Epidemiology Research Office (HE2RO), University of the Witwatersrand, Johannesburg, South Africa.
Lezanie CoetzeeHealth Economics and Epidemiology Research Office (HE2RO), University of the Witwatersrand, Johannesburg, South Africa.
Vongani MalulekeHealth Economics and Epidemiology Research Office (HE2RO), University of the Witwatersrand, Johannesburg, South Africa.
Daniel LetswaloHealth Economics and Epidemiology Research Office (HE2RO), University of the Witwatersrand, Johannesburg, South Africa.
Constance MongwenyanaHealth Economics and Epidemiology Research Office (HE2RO), University of the Witwatersrand, Johannesburg, South Africa.
Pria SubrayenThe Aurum Institute, Parktown, Johannesburg, South Africa.
Salome CharalambousThe Aurum Institute, Parktown, Johannesburg, South Africa.
Lindiwe MvusiSouth African National Department of Health, Pretoria, South Africa.
Sicelo DlaminiSouth African National Department of Health, Pretoria, South Africa.
Neil MartinsonPerinatal HIV Research Unit (PHRU), Soweto, South Africa.
Aneesa MoollaHealth Economics and Epidemiology Research Office (HE2RO), University of the Witwatersrand, Johannesburg, South Africa.
Jacqui MiotHealth Economics and Epidemiology Research Office (HE2RO), University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0001-7070-3826
Denise EvansHealth Economics and Epidemiology Research Office (HE2RO), University of the Witwatersrand, Johannesburg, South Africa.ORCID https://orcid.org/0000-0003-0698-1228
University of the Witwatersrand · ZADepartment of Health · ZAAurum Institute · ZAPerinatal HIV Research Unit · ZA

Funding

Partnership for Global Health Research Training Program (Renewal)-Supplement for OBSSR, NCI, NCI-AIDS and NIDCDD43TW010543 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Wafaie W Fawzi, DAVIDSON HOWES HAMER · 2017 to 2026
$12.1M
FIC NIH HHS D43 TW010543
6 · The paper itself

Abstract

backgroundAssessment 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.

methodsWe 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.

resultsIn 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

conclusionOur 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.

Identifiers

PMID36962485
PMCPMC10021242
OpenAlexW4297500475

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read197
reference markers read5
identifiers read6
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.