Evidence map›Paper›PMID 35973702›Full record

ArticleBMJ open2022

Assessing the quality of tuberculosis care using routine surveillance data: a process evaluation employing the Zero TB Indicator Framework in Mongolia.

Ariunzaya Saranjav, Christina Parisi, Xin Zhou, Khulan Dorjnamjil, Tumurkhuyag Samdan, Sumiya Erdenebaatar, Altantogoskhon Chuluun, Tserendagva Dalkh, Gantungalag Ganbaatar, Meredith B Brooks and 3 more

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

13 authors.

Ariunzaya Saranjav *Zero TB Mongolia, Mongolian Health Initiative, Ulaanbaatar, Mongolia ariunzaya.sar@gmail.com.ORCID 0000-0001-9122-6686
Christina Parisi *Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.
Xin ZhouDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut, USA.
Khulan DorjnamjilZero TB Mongolia, Mongolian Health Initiative, Ulaanbaatar, Mongolia.
Tumurkhuyag SamdanZero TB Mongolia, Mongolian Health Initiative, Ulaanbaatar, Mongolia.
Sumiya ErdenebaatarZero TB Mongolia, Mongolian Health Initiative, Ulaanbaatar, Mongolia.
Altantogoskhon ChuluunUlaanbaatar City Health Department, Governor's Office of Capital City Ulaanbaatar, Ulaanbaatar, Mongolia.
Tserendagva DalkhDepartment of Hospital Development, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.
Gantungalag GanbaatarTuberculosis Surveillance and Research Department, National Center for Communicable Diseases, Ulaanbaatar, Mongolia.
Meredith B BrooksDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-1022-2515
Donna SpiegelmanCenter for Methods in Implementation and Prevention Science, Yale School of Public Health, New Haven, Connecticut, USA.
Davaasambuu Ganmaa *Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA.
J Lucian Davis *Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.ORCID 0000-0002-8629-9992

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Comprehensive Translational Science Analytics Tools for the Global Health AgendaDP1ES025459 · NIEHS · YALE UNIVERSITY · PI SPIEGELMAN, DONNA L · 2014 to 2018
$4.1M
Translational Science Training to Reduce the Impact of Alcohol on HIV InfectionT32AA025877 · NIAAA · UNIVERSITY OF FLORIDA · PI Robert L Cook, DEBRA E LYON · 2018 to 2026
$3.3M
NCATS NIH HHS UL1 TR001863NIAAA NIH HHS T32 AA025877NIEHS NIH HHS DP1 ES025459
6 · The paper itself

Abstract

objectivesTo evaluate the feasibility of the Zero TB Indicator Framework as a tool for assessing the quality of tuberculosis (TB) case-finding, treatment and prevention services in Mongolia.

settingPrimary health centres, TB dispensaries, and surrounding communities in four districts of Mongolia.

designThree retrospective cross-sectional cohort studies, and two longitudinal studies each individually nested in one of the cohort studies.

participants15 947 community members from high TB-risk populations; 8518 patients screened for TB in primary health centres and referred to dispensaries; 857 patients with index TB and 2352 household contacts. PRIMARY AND SECONDARY OUTCOME MEASURES: 14 indicators of the quality of TB care defined by the Zero TB Indicator Framework and organised into three care cascades, evaluating community-based active case-finding, passive case-finding in health facilities and TB screening and prevention among close contacts; individual and health-system predictors of these indicators.

resultsThe cumulative proportions of participants receiving guideline-adherent care varied widely, from 96% for community-based active case-finding, to 79% for TB preventive therapy among household contacts, to only 67% for passive case-finding in primary health centres and TB dispensaries (range: 29%-80% across districts). The odds of patients completing active TB treatment decreased substantially with increasing age (aOR: 0.76 per decade, 95% CI: 0.71 to 0.83, p<0.001) and among men (aOR: 0.56, 95% CI: 0.36 to 0.88, p=0.013). Contacts of older index patients also had lower odds of initiating and completing of TB preventive therapy (aOR: 0.60 per decade, 95% CI: 0.38 to 0.93, p=0.022).

conclusionsThe Zero TB Framework provided a feasible and adaptable approach for using routine surveillance data to evaluate the quality of TB care and identify associated individual and health system factors. Future research should evaluate strategies for collecting process indicators more efficiently; gather qualitative data on explanations for low-quality care; and deploy quality improvement interventions.

Indexed as

TuberculosisTuberculosis, PulmonaryContact TracingCross-Sectional StudiesHumansMaleMongoliaRetrospective Studiespublic healthquality in health carerespiratory infectionstuberculosis

Identifiers

PMID35973702
PMCPMC9386240

What OpenQuestion holds

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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.