A customized m-Health system for improving Tuberculosis treatment adherence and follow-up in south India

Narasimhan, Padmanesan; Bakshi, Aishwarya; Kittusami, Sathyapriya; Prashant, Suma; Mathai, Dilip; Bakshi, Kasturi; MacIntyre, C Raina; Ray, Pradeep

doi:10.1007/s12553-013-0067-2

Cited by 16 publications

(13 citation statements)

References 8 publications

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“…Two studies didn't calculate significance test on the effect of SMS messaging on TSR of TB due to inappropriate or lack of comparator group [46,47]. One study reported only about the level of patient adherence on TB treatment but not on treatment outcome [48].…”

Section: Characteristics Of Selected Studiesmentioning

confidence: 99%

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Does phone messaging improves tuberculosis treatment success? A systematic review and meta-analysis

et al. 2020

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Background: Compliance to anti-TB treatment is crucial in achieving cure and avoiding the emergence of drug resistance. Electronic health (eHealth) interventions are included in the strategy to end the global Tuberculosis (TB) epidemic by 2035. Evidences showed that mobile messaging systems could improve patient adherence to clinic appointment for diagnosis and treatment. This review aimed to assess the effect of mobile-phone messaging on anti-TB treatment success. Methods: All randomized controlled trial (RCT) and quasi-experimental studies done prior to August 26, 2019 were included in the review. Studies were retrieved from PubMed, EMBASE, Cochrane and ScienceDirect databases including, grey and non-indexed literatures from Google and Google scholar. Quality of studies were independently assessed using Cochrane Risk of Bias Assessment Tool. A qualitative synthesis and quantitative pooled estimation were used to measure the effect of phone messaging on TB treatment success rate. PRISMA flow diagrams were used to summarize article selection process. Results: A total of 1237 articles were identified, with 14 meeting the eligibility criteria for qualitative synthesis. Eight studies with a total of 5680 TB patients (2733 in intervention and 2947 in control groups) were included in metaanalysis. The pooled effect of mobile-phone messaging revealed a small increase in treatment success compared to standard of care (RR 1.04, 95% CI 1.02 to 1.06), with low heterogeneity (I 2 = 7%, p < 0.0002). In the review, performance, detection and attrition biases were reported as major risk of biases. Conclusions: Mobile-phone messaging showed a modest effect in improving anti-TB treatment success; however, the quality of evidence was low. Further controlled studies are needed to increase the evidence-base on the role of mHealth interventions to improve TB care. Protocol registration number: CRD420170744339.

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Section: Characteristics Of Selected Studiesmentioning

confidence: 99%

“…Two studies focused on LTBI treatment completion [49,52] couldn't be pooled to determining treatment success. One study used a different tool to measure the outcome variable [48] and studies excluded due to lack of comparison groups [46,47].…”

Section: Quantitative Synthesis Of Evidencementioning

confidence: 99%

Does phone messaging improves tuberculosis treatment success? A systematic review and meta-analysis

et al. 2020

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“…However, there was substantial variability within each category of outcome, as shown in Table 1. For example, acceptability and satisfaction within the perception category were defined differently from one study to another [15,28-30,32,35,36,40,44]. Also, SMS-only intervention studies did not focus on technical outcome [12,15,22,29,30,32,35, 36,42,43,45,46] whereas studies involving other mHealth technologies such as an app or mobile data collection did so [21,28,33,37,39-41].…”

Section: Resultsmentioning

confidence: 99%

Toward Developing a Standardized Core Set of Outcome Measures in Mobile Health Interventions for Tuberculosis Management: Systematic Review

Lee

et al. 2019

JMIR Mhealth Uhealth

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Background Tuberculosis (TB) management can be challenging in low- and middle-income countries (LMICs) not only because of its high burden but also the prolonged treatment period involving multiple drugs. With rapid development in mobile technology, mobile health (mHealth) interventions or using a mobile device for TB management has gained popularity. Despite the potential usefulness of mHealth interventions for TB, few studies have quantitatively synthesized evidence on its effectiveness, presumably because of variability in outcome measures reported in the literature. Objective The aim of this systematic review was to evaluate the outcome measures reported in TB mHealth literature in LMICs. Methods MEDLINE, EMBASE, and the Cochrane Database of Systematic Reviews were searched to identify mHealth intervention studies for TB (published up to May 2018) that reported any type of outcome measures. The extracted information included the study setting, types of mHealth technology used, target population, study design, and categories of outcome measures. Outcomes were classified into 13 categories including treatment outcome, adherence, process measure, perception, technical outcome, and so on. The qualitative synthesis of evidence focused on the categories of outcome measures reported by the type of mHealth interventions. Results A total of 27 studies were included for the qualitative synthesis of evidence. The study designs varied widely, ranging from randomized controlled trials to economic evaluations. A total of 12 studies adopted short message service (SMS), whereas 5 studies used SMS in combination with additional technologies or mobile apps. The study populations were also diverse, including patients with TB, patients with TB/HIV, health care workers, and general patients attending a clinic. There was a wide range of variations in the definition of outcome measures across the studies. Among the diverse categories of outcome measures, treatment outcomes have been reported in 14 studies, but only 6 of them measured the outcome according to the standard TB treatment definitions by the World Health Organization. Conclusions This critical evaluation of outcomes reported in mHealth studies for TB management suggests that substantial variability exists in reporting outcome measures. To overcome the challenges in evidence synthesis for mHealth interventions, this study can provide insights into the development of a core set of outcome measures by intervention type and study design.

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“…Technological innovations are currently being developed for resource-poor settings and if used correctly could be highly effective in complex emergencies. For example, mHealth services (healthcare using mobile communication technologies) have been found useful in improving adherence to treatment by sending voice-based reminders to patients to take their medications on time (Narasimhan et al 2014).…”

Section: Discussionmentioning

confidence: 99%

Treatment of tuberculosis in complex emergencies in developing countries: a scoping review

Munn-Mace

Parmar

2017

Health Policy and Planning

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Almost 172 million people live in complex emergencies globally resulting from political and/or economic instability. The provision and continuity of health care in complex emergencies remain a significant challenge. Health agencies are often hesitant to implement tuberculosis programmes in particular because its treatment requires a longer commitment than most acute diseases. However, not treating tuberculosis promptly increases mortality and untreated tuberculosis further increases the incidence of tuberculosis. Given that complex emergencies are increasing globally, there is an urgent need to analyse the available evidence to improve our understanding of how best to deliver tuberculosis programmes in such settings. Using a scoping review method, we selected and analysed 15 studies on tuberculosis programmes in complex emergencies. We found that despite the challenges, tuberculosis programmes have been successful in complex emergencies. We identified seven cross-cutting factors that were found to be important: service providers and treatment regime, training and supervision, donor support, adherence, leadership and coordination, monitoring and government and community support. In general, programmes showed greater creativity and flexibility to adapt to the local conditions and at times, it also meant diverting from the WHO guidelines. We identify areas of further research including the need to study the effectiveness of programmes that divert from the WHO guidelines and their implication on drug resistance.

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A customized m-Health system for improving Tuberculosis treatment adherence and follow-up in south India

Cited by 16 publications

References 8 publications

Does phone messaging improves tuberculosis treatment success? A systematic review and meta-analysis

Does phone messaging improves tuberculosis treatment success? A systematic review and meta-analysis

Toward Developing a Standardized Core Set of Outcome Measures in Mobile Health Interventions for Tuberculosis Management: Systematic Review

Treatment of tuberculosis in complex emergencies in developing countries: a scoping review

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