Evidence map›Paper›PMID 30942696›Full record

ArticleJMIR mHealth and uHealth2019

Mobile Health for Tuberculosis Management in South India: Is Video-Based Directly Observed Treatment an Acceptable Alternative?

Anil A Kumar, Ayesha De Costa, Arundathi Das, G A Srinivasa, George D'Souza, Rashmi Rodrigues

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
15.4field-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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Anil A KumarSt John's Research Institute, St John's National Academy of Health Sciences, Bangalore, India.ORCID 0000-0003-0565-8752
Ayesha De CostaPublic Health Sciences, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-1869-5990
Arundathi DasRajiv Gandhi University of Health Sciences, Bangalore, India.ORCID 0000-0003-4259-0953
G A SrinivasaRajiv Gandhi University of Health Sciences, Bangalore, India.ORCID 0000-0002-7298-899X
George D'SouzaDepartment of Chest Medicine, St John's Medical College, St John's National Academy of Health Sciences, Bangalore, India.ORCID 0000-0003-0343-4675
Rashmi RodriguesPublic Health Sciences, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-0656-0178
Karolinska Institutet · SERajiv Gandhi University of Health Sciences · INSt. John's National Academy of Health Sciences · IN

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundWith the availability of low-cost mobile devices and the ease of internet access, mobile health (mHealth) is digitally revolutionizing the health sector even in resource-constrained settings. It is however necessary to assess end-user perceptions before deploying potential interventions.

objectiveThis study aimed to assess the mobile phone usage patterns and the acceptability of mobile phone support during care and treatment in patients with tuberculosis (TB) in South India.

methodsThis exploratory study was conducted at an urban private tertiary care teaching hospital and nearby public primary-level health care facilities in Bangalore, South India. We recruited 185 patients with TB through consecutive sampling. Subsequent to written informed consent, participants responded to an interviewer-administered pretested questionnaire. The questionnaire included questions on demographics, phone usage patterns, and the benefits of using of mobile phone technology to improve health outcomes and treatment adherence. Frequency, mean, median, and SD or interquartile range were used to describe the data. Bivariate associations were assessed between demographics, clinical details, phone usage, and mHealth communication preferences using the chi-square test and odds ratios. Associations with a P value ≤.20 were included in a logistic regression model. A P value of <.05 was considered significant.

resultsOf the 185 participants, 151 (81.6%) used a mobile phone, and half of them owned a smartphone. The primary use of the mobile phone was to communicate over voice calls (147/151, 97.4%). The short message service (SMS) text messaging feature was used by only 66/151 (43.7%) mobile phone users. A total of 87 of the 151 mobile phone users (57.6%) knew how to use the camera. Only 41/151 (27.2%) mobile phone users had used their mobile phones to communicate with their health care providers. Although receiving medication reminders via mobile phones was acceptable to all participants, 2 participants considered repeated reminders as an intrusion of their privacy. A majority of the participants (137/185, 74.1%) preferred health communications via voice calls. Of the total participants, 123/185 (66.5%) requested reminders to be sent only at specific times during the day, 22/185 (11.9%) suggested reminders should synchronize with their prescribed medication schedule, whereas 40/185 (21.6%) did not have any time preferences. English literacy was associated with a preference for SMS in comparison with voice calls. Most participants (142/185, 76.8%) preferred video-based directly observed treatment when compared with in-person directly observed treatment.

conclusionsAlthough mobile phones for supporting health and treatment adherence were acceptable to patients with TB, mHealth interventions should consider language, mode of communication, and preferred timing for communication to improve uptake.

Indexed as

AdultCell PhoneCross-Sectional StudiesDrug MonitoringFemaleHumansIndiaMaleMedication AdherenceMiddle AgedSurveys and QuestionnairesTelemedicineTuberculosisadherenceDOTmedical informaticsmHealthmobile phonereminderSMStuberculosisvDOTvideo DOTvoice call

Identifiers

PMID30942696
PMCPMC6468344
OpenAlexW2914722446

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.