Evidence map›Paper›PMID 31039158›Full record

ArticlePLoS medicine2019

Evaluation of a social protection policy on tuberculosis treatment outcomes: A prospective cohort study.

Karen Klein, Maria Paula Bernachea, Sarah Irribarren, Luz Gibbons, Cristina Chirico, Fernando Rubinstein

Erratum issuedAbstract readEvaluation Study
In one paragraph

Article in PLoS medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  15. Social Protection Interventions for TB-Affected Households: A Scoping Review.The American journal of tropical medicine and hygiene · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Karen KleinInstitute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina.
Maria Paula BernacheaInstitute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina.
Sarah IrribarrenBiobehavioral Nursing and Health Informatics, University of Washington, School of Nursing HSB, Seattle, Washington, United States of America.ORCID 0000-0003-2980-0717
Luz GibbonsInstitute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina.
Cristina ChiricoTuberculosis Control Program of the 5th Health Region, Ministry of Health of the Province of Buenos Aires, Hospital Cetrángolo, Buenos Aires, Argentina.
Fernando RubinsteinInstitute for Clinical Effectiveness and Health Policy (IECS), Buenos Aires, Argentina.ORCID 0000-0001-5653-5766

Funding

Development and Evaluation of an Interactive Mobile Health Intervention to Support Patients with Active TuberculosisK23NR017210 · NINR · UNIVERSITY OF WASHINGTON · PI IRIBARREN, SARAH JO HANNAH · 2017 to 2019
$437k
Patient and system factors associated with successful treatment of TuberculosisR01AI083229 · NIAID · INSTITUTO DE EFECTIVIDAD CLINICA Y SANIT · PI PALMERO, DOMINGO JUAN, RUBINSTEIN, FERNANDO ADRIÁN · 2010 to 2012
$288k
NIAID NIH HHS R01 AI083229NINR NIH HHS K23 NR017210
6 · The paper itself

Abstract

backgroundTuberculosis (TB) still represents a major public health problem in Latin America, with low success and high default rates. Poor adherence represents a major threat for TB control and promotes emergence of drug-resistant TB. Expanding social protection programs could have a substantial effect on the global burden of TB; however, there is little evidence to evaluate the outcomes of socioeconomic support interventions. This study evaluated the effect of a conditional cash transfer (CCT) policy on treatment success and default rates in a prospective cohort of socioeconomically disadvantaged patients. METHODS AND

findingsData were collected on adult patients with first diagnosis of pulmonary TB starting treatment in public healthcare facilities (HCFs) from 16 health departments with high TB burden in Buenos Aires who were followed until treatment completion or abandonment. The main exposure of interest was the registration to receive the CCT. Other covariates, such as sociodemographic and clinical variables and HCFs' characteristics usually associated with treatment adherence and outcomes, were also considered in the analysis. We used hierarchical models, propensity score (PS) matching, and inverse probability weighting (IPW) to estimate treatment effects, adjusting for individual and health system confounders. Of 941 patients with known CCT status, 377 registered for the program showed significantly higher success rates (82% versus 69%) and lower default rates (11% versus 20%). After controlling for individual and system characteristics and modality of treatment, odds ratio (OR) for success was 2.9 (95% CI 2, 4.3, P < 0.001) and default was 0.36 (95% CI 0.23, 0.57, P < 0.001). As this is an observational study evaluating an intervention not randomly assigned, there might be some unmeasured residual confounding. Although it is possible that a small number of patients was not registered into the program because they were deemed not eligible, the majority of patients fulfilled the requirements and were not registered because of different reasons. Since the information on the CCT was collected at the end of the study, we do not know the exact timing for when each patient was registered for the program.

conclusionsThe CCT appears to be a valuable health policy intervention to improve TB treatment outcomes. Incorporating these interventions as established policies may have a considerable effect on the control of TB in similar high-burden areas.

Indexed as

Health PolicyPublic PolicyAdolescentAdultAgedAged, 80 and overAntitubercular AgentsArgentinaCohort StudiesFemaleHealth Plan ImplementationHumansMaleMiddle AgedProspective StudiesPsychosocial Support SystemsAntitubercular Agents

Identifiers

PMID31039158
PMCPMC6490910

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.