Evidence map›Paper›PMID 35195534›Full record

SynthesisJournal of medical Internet research2022

Digital Health Technologies to Improve Medication Adherence and Treatment Outcomes in Patients With Tuberculosis: Systematic Review of Randomized Controlled Trials.

Abdurahman Ridho, Sofa D Alfian, Job F M van Boven, Jutti Levita, Esin Aki Yalcin, Ly Le, Jan-Willem Alffenaar, Eelko Hak, Rizky Abdulah, Ivan S Pradipta

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 8 pooled it
–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

68 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Digital health tools in the management of allergic rhinitis: a systematic review.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
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  10. Impact of text reminders on pneumatic compression device (PCD) compliance in patients with breast cancer-related lymphedema.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
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  14. Hidden in Success: Gendered Patterns of Suboptimal Care Engagement Among Tuberculosis Patients Who "Successfully" Completed Treatment in South Africa.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
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8 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

10 authors.

Abdurahman RidhoDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, Indonesia.ORCID 0000-0002-8251-0332
Sofa D AlfianDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, Indonesia.ORCID 0000-0001-5419-8938
Job F M van BovenDepartment of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.ORCID 0000-0003-2368-2262
Jutti LevitaDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, Indonesia.ORCID 0000-0002-4578-4174
Esin Aki YalcinDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Ankara University, Ankara, Turkey.ORCID 0000-0002-1560-710X
Ly LeVingroup Big Data Institute, Hanoi, Vietnam.ORCID 0000-0002-3182-0007
Jan-Willem AlffenaarFaculty of Medicine and Health, School of Pharmacy, University of Sydney, Sydney, Australia.ORCID 0000-0001-6703-0288
Eelko HakPharmacotherapy, Pharmacoepidemiology and Pharmacoeconomics, Research Institute of Pharmacy, University of Groningen, Groningen, Netherlands.ORCID 0000-0003-0849-7210
Rizky AbdulahDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, Indonesia.ORCID 0000-0002-8779-6421
Ivan S PradiptaDepartment of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, Indonesia.ORCID 0000-0002-7151-0783

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNonadherence to medication in tuberculosis (TB) hampers optimal treatment outcomes. Digital health technology (DHT) seems to be a promising approach to managing problems of nonadherence to medication and improving treatment outcomes.

objectiveThis paper systematically reviews the effect of DHT in improving medication adherence and treatment outcomes in patients with TB.

methodsA literature search in PubMed and Cochrane databases was conducted. Randomized controlled trials (RCTs) that analyzed the effect of DHT interventions on medication adherence outcomes (treatment completion, treatment adherence, missed doses, and noncompleted rate) and treatment outcomes (cure rate and smear conversion) were included. Adult patients with either active or latent TB infection were included. The Jadad score was used for evaluating the study quality. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guideline was followed to report study findings.

resultsIn all, 16 RCTs were selected from 552 studies found, and 6 types of DHT interventions for TB were identified: 3 RCTs examined video directly observed therapy (VDOT), 1 examined video-observed therapy (VOT), 1 examined an ingestible sensor, 1 examined phone call reminders, 2 examined medication monitor boxes, and 8 examined SMS text message reminders. The outcomes used were treatment adherence, including treatment completion, treatment adherence, missed dose, and noncompleted rate, as well as clinical outcomes, including cure rate and smear conversion. In treatment completion, 4 RCTs (VDOT, VOT, ingestible sensor, SMS reminder) found significant effects, with odds ratios and relative risks (RRs) ranging from 1.10 to 7.69. Treatment adherence was increased in 1 study by SMS reminders (RR 1.05; 95% CI 1.04-1.06), and missed dose was reduced in 1 study by a medication monitor box (mean ratio 0.58; 95% CI 0.42-0.79). In contrast, 3 RCTs of VDOT and 3 RCTs of SMS reminders did not find significant effects for treatment completion. Moreover, no improvement was found in treatment adherence in 1 RCT of VDOT, missed dose in 1 RCT of SMS reminder, and noncompleted rate in 1 RCT of a monitor box, and 2 RCTs of SMS reminders. For clinical outcomes such as cure rate, 2 RCTs reported that phone calls (RR 1.30; 95% CI 1.07-1.59) and SMS reminders (OR 2.47; 95% CI 1.13-5.43) significantly affected cure rates. However, 3 RCTs found that SMS reminders did not have a significant impact on cure rate or smear conversion.

conclusionsIt was found that DHT interventions can be a promising approach. However, the interventions exhibited variable effects regarding effect direction and the extent of improving TB medication adherence and clinical outcomes. Developing DHT interventions with personalized feedback is required to have a consistent and beneficial effect on medication adherence and outcomes among patients with TB.

Indexed as

Cell PhoneText MessagingTuberculosisAdultBiomedical TechnologyHumansMedication AdherenceRandomized Controlled Trials as TopicReminder SystemsTreatment Outcomedigital healtheHealthinterventionmedication adherence technologynonadherencesystematic reviewtreatment outcomestuberculosis

Identifiers

PMID35195534
PMCPMC8908199

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.