Evidence mapPaperPMID 32661193Full record

Trial reportBMJ open diabetes research & care2020

Feasibility of computer-generated telephonic message-based follow-up system among healthcare workers with diabetes: a randomized controlled trial.

Mahima Sadanshiv, Lakshmanan Jeyaseelan, Henry Kirupakaran, Vikas Sonwani, Thambu David Sudarsanam

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
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

5 authors at 1 institution in 1 country.

Mahima SadanshivGeneral Medicine, Christian Medical College and Hospital Vellore, Vellore, Tamil Nadu, India msadanshiv@gmail.com.ORCID 0000-0003-1244-1981
Lakshmanan JeyaseelanBiostatistics, Christian Medical College and Hospital Vellore, Vellore, Tamil Nadu, India.
Henry KirupakaranStaff Student Health Service, Christian Medical College and Hospital Vellore, Vellore, Tamil Nadu, India.
Vikas SonwaniPadhar Hospital, Betul, Madhya Pradesh, India.
Thambu David SudarsanamInternal Medicine, Christian Medical College and Hospital Vellore, Vellore, Tamil Nadu, India.
Christian Medical College, Vellore · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo assess the feasibility of computer-generated educational messaging system in healthcare workers of a tertiary care hospital. The secondary objectives were glycemic control, patient satisfaction and adherence to lifestyle modifications. RESEARCH DESIGN AND

methodsSingle-center parallel-group open-labeled randomized controlled trial with computer generated block randomization.

settingHealthcare workers with diabetes working in Christian Medical College Vellore, Tamil Nadu.

participants431 assessed, 341 met the selection criteria, 320 participants were randomized and 161 were taken into intervention arm and 159 in the control arm.

interventionComputer-generated short message service (SMS) based on transtheoretical model of behavioral change, 2 messages per week for 3 months, along with standard of care diabetic care. Messages had educational material regarding healthy eating habits and exercise and these messages were sent twice weekly. The messages were scheduled via an automatic calendar in a way that each subject in the intervention arm received 15 educational messages per month.Control group received only standard of care diabetic care which included dietary advice, exercise regimen and diabetic medications under supervision of their physician every 3 months. FOLLOW-UP: 6 months.

results95.65% of people in the intervention arm (n=154) received regular messages, out of which 93.17% read the messages regularly. 80.12% acted on the messages. 93.17% felt more satisfied with their healthcare.While both groups showed improvement in body mass index (BMI) and hemoglobin A1c (HbA1c), the difference was greater in the intervention with regard to both decrease in BMI (-0.6, p<0.001) and HBA1c (-0.48, p<0.001).

conclusionsSMS-based education system is feasible in improving healthcare among healthcare workers with diabetes. It improves patient satisfaction, adherence and improves healthcare among individuals with diabetes by decreasing their BMI and decreasing HbA1c.

Indexed as

Diabetes MellitusComputersFeasibility StudiesFollow-Up StudiesHealth PersonnelHumansIndiaadult diabetescompliance/adherenceprospective randomized trialtelemedicine

Identifiers

PMID32661193
PMCPMC7359061
OpenAlexW3041293694

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.