Evidence map›Paper›PMID 27752288›Full record

ArticleHeart Asia2016

Development of macaronic Hindi-English 'Hinglish' text message content for a coronary heart disease secondary prevention programme.

Jay Thakkar, Ganesan Karthikeyan, Gaurav Purohit, Swetha Thakkar, Jitender Sharma, Sunilkumar Verma, Neeraj Parakh, Sandeep Seth, Sundeep Mishra, Rakesh Yadav and 5 more

Abstract read
In one paragraph

Article in Heart Asia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

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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

15 authors.

Jay ThakkarThe George Institute for Global Health, Sydney, Australia; Sydney Medical School, The University of Sydney, Sydney, Australia; Westmead Hospital, Sydney, Australia.
Ganesan KarthikeyanAll India Institute of Medical Sciences , New Delhi , India.
Gaurav PurohitAll India Institute of Medical Sciences , New Delhi , India.
Swetha ThakkarNepean Hospital , Sydney , Australia.
Jitender SharmaAll India Institute of Medical Sciences , New Delhi , India.
Sunilkumar VermaAll India Institute of Medical Sciences , New Delhi , India.
Neeraj ParakhAll India Institute of Medical Sciences , New Delhi , India.
Sandeep SethAll India Institute of Medical Sciences , New Delhi , India.
Sundeep MishraAll India Institute of Medical Sciences , New Delhi , India.
Rakesh YadavAll India Institute of Medical Sciences , New Delhi , India.
Sandeep SinghAll India Institute of Medical Sciences , New Delhi , India.
Rohina JoshiThe George Institute for Global Health, Sydney, Australia; Sydney Medical School, The University of Sydney, Sydney, Australia.
Aravinda ThiagalingamSydney Medical School, The University of Sydney, Sydney, Australia; Westmead Hospital, Sydney, Australia.
Clara K ChowThe George Institute for Global Health, Sydney, Australia; Sydney Medical School, The University of Sydney, Sydney, Australia; Westmead Hospital, Sydney, Australia.
Julie RedfernThe George Institute for Global Health, Sydney, Australia; Sydney Medical School, The University of Sydney, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronary heart disease (CHD) is a leading cause of morbidity and mortality in India. Text message based prevention programs have demonstrated reduction in cardiovascular risk factors among patients with CHD in selected populations. Customisation is important as behaviour change is influenced by culture and linguistic context.

objectivesTo customise a mobile phone text message program supporting behaviour and treatment adherence in CHD for delivery in North India.

methodsWe used an iterative process with mixed methods involving three phases: (1) Initial translation, (2) Review and incorporation of feedback including review by cardiologists in India to assess alignment with local guidelines and by consumers on perceived utility and clarity and (3) Pilot testing of message management software.

resultsMessages were translated in three ways: symmetrical translation, asymmetrical translation and substitution. Feedback from cardiologists and 25 patients was incorporated to develop the final bank. Patients reported Hinglish messages were easy to understand (93%) and useful (78%). The software located in Australia successfully delivered messages to participants based in Delhi-surrounds (India).

conclusionsOur process for customisation of a text message program considered cultural, linguistic and the medical context of potential participants. This is important in optimising intervention fidelity across populations enabling examination of the generalisability of text message programs across populations. We also demonstrated the customised program was acceptable to patients in India and that a centralised cross-country delivery model was feasible. This process could be used as a guide for other groups seeking to customise their programs. TRIAL REGISTRATION NUMBER: TEXTMEDS Australia (Parent study)-ACTRN 12613000793718.

Indexed as

CORONARY ARTERY DISEASE

Identifiers

PMID27752288
PMCPMC5051379

What OpenQuestion holds

Textmetadata
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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.