Evidence map›Paper›PMID 32735220›Full record

ArticleJMIR mHealth and uHealth2020

Explaining Differences in the Acceptability of 99DOTS, a Cell Phone-Based Strategy for Monitoring Adherence to Tuberculosis Medications: Qualitative Study of Patients and Health Care Providers.

Beena E Thomas, J Vignesh Kumar, Chidiebere Onongaya, Spurthi N Bhatt, Amith Galivanche, Murugesan Periyasamy, M Chiranjeevi, Amit Subhash Khandewale, Geetha Ramachandran, Daksha Shah and 3 more

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
12.5field-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.

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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 66 citations in OpenAlex.

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  17. Adherence to treatment on a daily-dose regimen for TB.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2023
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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 at 5 institutions in 2 countries.

Beena E Thomas *Department of Social and Behavioural Research, National Institute for Research in Tuberculosis, Chennai, India.ORCID 0000-0003-1973-2212
J Vignesh KumarDepartment of Social and Behavioural Research, National Institute for Research in Tuberculosis, Chennai, India.ORCID 0000-0003-0238-598X
Chidiebere OnongayaDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States.ORCID 0000-0003-2033-1440
Spurthi N BhattDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States.ORCID 0000-0003-2614-227X
Amith GalivancheDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States.ORCID 0000-0002-9594-9299
Murugesan PeriyasamyDepartment of Social and Behavioural Research, National Institute for Research in Tuberculosis, Chennai, India.ORCID 0000-0001-8352-7323
M ChiranjeeviDepartment of Social and Behavioural Research, National Institute for Research in Tuberculosis, Chennai, India.ORCID 0000-0001-5718-1082
Amit Subhash KhandewaleDepartment of Social and Behavioural Research, National Institute for Research in Tuberculosis, Chennai, India.ORCID 0000-0003-2713-2524
Geetha RamachandranDepartment of Social and Behavioural Research, National Institute for Research in Tuberculosis, Chennai, India.ORCID 0000-0002-5672-9488
Daksha ShahPublic Health Department, Municipal Corporation of Greater Mumbai, Mumbai, India.ORCID 0000-0003-0168-7847
Jessica E HabererCenter for Global Health, Massachusetts General Hospital, Boston, MA, United States.ORCID 0000-0001-5845-3190
Kenneth H MayerThe Fenway Institute, Fenway Health, Boston, MA, United States.ORCID 0000-0001-7460-733X
Ramnath Subbaraman *Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States.ORCID 0000-0002-2063-943X
National Institute of Research in Tuberculosis · INTufts University · USBrihanmumbai Municipal Corporation · INFenway Health · USMassachusetts General Hospital · US

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI RAJESH T GANDHI · 2004 to 2026
$94.4M
Harvard Clinical and Translational Science CenterKL2TR001100 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$8.5M
Optimizing mHealth for adherence monitoring and interventionK24MH114732 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI HABERER, JESSICA ELIZABETH · 2017 to 2021
$800k
Doris Duke Charitable Foundation 2018095NCATS NIH HHS KL2 TR001100NIAID NIH HHS P30 AI060354NIMH NIH HHS K24 MH114732
6 · The paper itself

Abstract

background99DOTS is a cell phone-based strategy for monitoring tuberculosis (TB) medication adherence that has been rolled out to more than 150,000 patients in India's public health sector. A considerable proportion of patients stop using 99DOTS during therapy.

objectiveThis study aims to understand reasons for variability in the acceptance and use of 99DOTS by TB patients and health care providers (HCPs).

methodsWe conducted qualitative interviews with individuals taking TB therapy in the government program in Chennai and Vellore (HIV-coinfected patients) and Mumbai (HIV-uninfected patients) across intensive and continuation treatment phases. We conducted interviews with HCPs who provide TB care, all of whom were involved in implementing 99DOTS. Interviews were transcribed, coded using a deductive approach, and analyzed with Dedoose 8.0.35 software (SocioCultural Research Consultants, LLC). The findings of the study were interpreted using the unified theory of acceptance and use of technology, which highlights 4 constructs associated with technology acceptance: performance expectancy, effort expectancy, social influences, and facilitating conditions.

resultsWe conducted 62 interviews with patients with TB, of whom 30 (48%) were HIV coinfected, and 31 interviews with HCPs. Acceptance of 99DOTS by patients was variable. Greater patient acceptance was related to perceptions of improved patient-HCP relationships from increased phone communication, TB pill-taking habit formation due to SMS text messaging reminders, and reduced need to visit health facilities (performance expectancy); improved family involvement in TB care (social influences); and from 99DOTS leading HCPs to engage positively in patients' care through increased outreach (facilitating conditions). Lower patient acceptance was related to perceptions of reduced face-to-face contact with HCPs (performance expectancy); problems with cell phone access, literacy, cellular signal, or technology fatigue (effort expectancy); high TB- and HIV-related stigma within the family (social influences); and poor counseling in 99DOTS by HCPs or perceptions that HCPs were not acting upon adherence data (facilitating conditions). Acceptance of 99DOTS by HCPs was generally high and related to perceptions that the 99DOTS adherence dashboard and patient-related SMS text messaging alerts improve quality of care, the efficiency of care, and the patient-HCP relationship (performance expectancy); that the dashboard is easy to use (effort expectancy); and that 99DOTS leads to better coordination among HCPs (social influences). However, HCPs described suboptimal facilitating conditions, including inadequate training of HCPs in 99DOTS, unequal changes in workload, and shortages of 99DOTS medication envelopes.

conclusionsIn India's government TB program, 99DOTS had high acceptance by HCPs but variable acceptance by patients. Although some factors contributing to suboptimal patient acceptance are modifiable, other factors such as TB- and HIV-related stigma and poor cell phone accessibility, cellular signal, and literacy are more difficult to address. Screening for these barriers may facilitate targeting of 99DOTS to patients more likely to use this technology.

Indexed as

Cell PhoneDrug MonitoringMedication AdherenceTuberculosisHealth PersonnelHumansIndiaQualitative Researchimplementation sciencemedication adherencemHealthmobile phonequalitative researchtuberculosis

Identifiers

PMID32735220
PMCPMC7428900
OpenAlexW3037869292

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.