Evidence map›Paper›PMID 29184894›Full record

ArticlemHealth2017

Effect of mHealth on modifying behavioural risk-factors of non-communicable diseases in an adult, rural population in Delhi, India.

Malvika Sharma, Bratati Banerjee, G K Ingle, Suneela Garg

Open access · hybridAbstract read
In one paragraph

Article in mHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 4 pooled it
2.5field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 4 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Role of telemedicine in cardiovascular care in low- and middle-income countries (LMICs).American heart journal plus : cardiology research and practice · 2026
    Review
  6. Article
  7. Review
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  10. Task Sharing for Managing Common Noncommunicable Disease in a Nurse Led Noncommunicable Diseases Clinic in Peri-Urban Community of Chandigarh.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
  11. Article
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

4 authors at 1 institution in 1 country.

Malvika SharmaDepartment of Community Medicine, Maulana Azad Medical College, New Delhi, India.
Bratati BanerjeeDepartment of Community Medicine, Maulana Azad Medical College, New Delhi, India.
G K IngleDepartment of Community Medicine, Maulana Azad Medical College, New Delhi, India.
Suneela GargDepartment of Community Medicine, Maulana Azad Medical College, New Delhi, India.
Maulana Azad Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rising trend of non-communicable diseases (NCDs) has led to a "dual burden" in low and middle-income (LAMI) countries like India which are still battling with high prevalence of communicable diseases. The incorporation of a target specially dedicated to NCDs within the goal 3 of the newly adopted Sustainable Development Goals indicates the importance the world now accords to prevention and control of these diseases. Mobile phone technology is increasingly viewed as a promising communication channel that can be utilized for primary prevention of NCDs by promoting behaviour change and risk factor modification.

methodsA "Before and After" Intervention study was conducted on 400 subjects, over a period of one year, in Barwala village, Delhi, India. An mHealth intervention package consisting of weekly text messages and monthly telephone calls addressing lifestyle modification for risk factors of NCDs was given to the intervention group, compared to no intervention package in control group.

resultsAfter Intervention Phase, significant reduction was seen in behavioural risk factors (unhealthy diet and insufficient physical activity) in the intervention group compared to control group. Body mass index (BMI), systolic blood pressure and fasting blood sugar level also showed significant difference in the intervention group as compared to controls.

conclusionsOur study has demonstrated the usefulness of mHealth for health promotion and lifestyle modification at community level in a LAMI country. With the growing burden of NCDs in the community, such cost effective and innovative measures will be needed that can easily reach the masses.

Indexed as

Behavioural risk factorscommunicationdeveloping countriesdiethealth promotion

Identifiers

PMID29184894
PMCPMC5682360
OpenAlexW2766978472

What OpenQuestion holds

Textmetadata
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.