Evidence map›Paper›PMID 29969463›Full record

SynthesisPLoS medicine2018

Adherence interventions and outcomes of tuberculosis treatment: A systematic review and meta-analysis of trials and observational studies.

Narges Alipanah, Leah Jarlsberg, Cecily Miller, Nguyen Nhat Linh, Dennis Falzon, Ernesto Jaramillo, Payam Nahid

4 registry-linked trialsOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PLoS medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 282 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
282citing papers in PubMed, 15 pooled it
22.7field-weighted citation impact, top 1% 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.

NCT04134689 nacompletednot on this mapstarted 2020, after this paper: background citation

DOT Selfie: A Mobile Health Intervention With Transfer of Social Bundle Incentives to Increase Treatment Adherence in Tuberculosis Patients in Uganda: A Randomized Control Trial.

TypeinterventionalSponsorUniversity of GeorgiaRan2020 to 2023Enrolled144ConditionsTuberculosisArmsDOT Selfie Intervention, In-person DOT
NCT04208789 completednot on this mapstarted 2020, after this paper: background citation

Artificial Neural Network as Diagnostic Tools For Rifampicin-Resistant Tuberculosis In Indonesia: A Predictive Model Study and Economic Evaluation

TypeobservationalSponsorHasanuddin UniversityRan2020 to 2020Enrolled524ConditionsMDR Tuberculosis, Resistance to Tuberculostatic DrugsArmsRapid Molecular Drug-Resistant Tuberculosis Test, Artificial Intelligent Model, Drug Susceptibility Test
NCT04221789 naactive not recruitingnot on this mapstarted 2020, after this paper: background citation

TB Treatment Support Tools: Refinement and Evaluation of an Interactive Mobile App and Direct Adherence Monitoring on TB Treatment Outcomes

TypeinterventionalSponsorInstitute for Clinical Effectiveness and Health PolicyRan2020 to 2025Enrolled555ConditionsTuberculosis, Treatment AdherenceArmsTB treatment assistant
NCT05633056 narecruitingnot on this mapstarted 2023, after this paper: background citation

Adaptive Evaluation of mHealth and Conventional Adherence Support Interventions to Optimize Outcome With New Treatment Regimens for Drug-resistant Tuberculosis and HIV in South Africa

TypeinterventionalSponsorColumbia UniversityRan2023 to 2029Enrolled360ConditionsMulti Drug Resistant Tuberculosis, HIV InfectionsArmsAdherence support intevention
3 · Its place in the literature

Who cites it

282 citing papers in PubMed, 15 syntheses or guidelines pooled it, 497 citations in OpenAlex.

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222 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 2 countries.

Narges AlipanahUniversity of California San Francisco, Division of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General, San Francisco, California, United States of America.ORCID 0000-0002-8381-5701
Leah JarlsbergUniversity of California San Francisco, Division of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General, San Francisco, California, United States of America.ORCID 0000-0001-6548-6337
Cecily MillerUniversity of California San Francisco, Division of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General, San Francisco, California, United States of America.
Nguyen Nhat LinhGlobal TB Programme, World Health Organization, Geneva, Switzerland.
Dennis FalzonGlobal TB Programme, World Health Organization, Geneva, Switzerland.ORCID 0000-0001-8798-7909
Ernesto JaramilloGlobal TB Programme, World Health Organization, Geneva, Switzerland.
Payam NahidUniversity of California San Francisco, Division of Pulmonary and Critical Care Medicine, Zuckerberg San Francisco General, San Francisco, California, United States of America.ORCID 0000-0003-2811-1311
San Francisco General Hospital · USWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundIncomplete adherence to tuberculosis (TB) treatment increases the risk of delayed culture conversion with continued transmission in the community, as well as treatment failure, relapse, and development or amplification of drug resistance. We conducted a systematic review and meta-analysis of adherence interventions, including directly observed therapy (DOT), to determine which approaches lead to improved TB treatment outcomes. METHODS AND

findingsWe systematically reviewed Medline as well as the references of published review articles for relevant studies of adherence to multidrug treatment of both drug-susceptible and drug-resistant TB through February 3, 2018. We included randomized controlled trials (RCTs) as well as prospective and retrospective cohort studies (CSs) with an internal or external control group that evaluated any adherence intervention and conducted a meta-analysis of their impact on TB treatment outcomes. Our search identified 7,729 articles, of which 129 met the inclusion criteria for quantitative analysis. Seven adherence categories were identified, including DOT offered by different providers and at various locations, reminders and tracers, incentives and enablers, patient education, digital technologies (short message services [SMSs] via mobile phones and video-observed therapy [VOT]), staff education, and combinations of these interventions. When compared with DOT alone, self-administered therapy (SAT) was associated with lower rates of treatment success (CS: risk ratio [RR] 0.81, 95% CI 0.73-0.89; RCT: RR 0.94, 95% CI 0.89-0.98), adherence (CS: RR 0.83, 95% CI 0.75-0.93), and sputum smear conversion (RCT: RR 0.92, 95% CI 0.87-0.98) as well as higher rates of development of drug resistance (CS: RR 4.19, 95% CI 2.34-7.49). When compared to DOT provided by healthcare providers, DOT provided by family members was associated with a lower rate of adherence (CS: RR 0.86, 95% CI 0.79-0.94). DOT delivery in the community versus at the clinic was associated with a higher rate of treatment success (CS: RR 1.08, 95% CI 1.01-1.15) and sputum conversion at the end of two months (CS: RR 1.05, 95% CI 1.02-1.08) as well as lower rates of treatment failure (CS: RR 0.56, 95% CI 0.33-0.95) and loss to follow-up (CS: RR 0.63, 95% CI 0.40-0.98). Medication monitors improved adherence and treatment success and VOT was comparable with DOT. SMS reminders led to a higher treatment completion rate in one RCT and were associated with higher rates of cure and sputum conversion when used in combination with medication monitors. TB treatment outcomes improved when patient education, healthcare provider education, incentives and enablers, psychological interventions, reminders and tracers, or mobile digital technologies were employed. Our findings are limited by the heterogeneity of the included studies and lack of standardized research methodology on adherence interventions.

conclusionTB treatment outcomes are improved with the use of adherence interventions, such as patient education and counseling, incentives and enablers, psychological interventions, reminders and tracers, and digital health technologies. Trained healthcare providers as well as community delivery provides patient-centered DOT options that both enhance adherence and improve treatment outcomes as compared to unsupervised, SAT alone.

Indexed as

Medication AdherenceAdolescentAdultAntitubercular AgentsAttitude of Health PersonnelCell PhoneChildChild, PreschoolDirectly Observed TherapyHealth Knowledge, Attitudes, PracticeHealth PersonnelHumansInfantInfant, NewbornObservational Studies as TopicPatient Education as TopicAntitubercular Agents

Identifiers

PMID29969463
PMCPMC6029765
OpenAlexW2810683857

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.