Evidence map›Paper›PMID 36611225›Full record

ArticleNursing open2023

Perception of nurses on the use of mobile phone text messaging for the management of diabetes mellitus in rural Ghana.

Kwadwo Ameyaw Korsah, Eliasu Abdulai, Gladys Dzansi, Nathan Gamor

Open access · goldAbstract read
In one paragraph

Article in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
4.8field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
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  7. 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.

Kwadwo Ameyaw KorsahSchool of Nursing and Midwifery, University of Ghana, Legon, Ghana.
Eliasu AbdulaiSchool of Nursing and Midwifery, College of Health Sciences, University of Ghana, Legon, Ghana.ORCID 0000-0002-5119-1674
Gladys DzansiSchool of Nursing and Midwifery, University of Ghana, Legon, Ghana.ORCID 0000-0002-6036-811X
Nathan GamorCatholic Hospital Battor, University of Ghana, Legon, Ghana.ORCID 0000-0002-7965-3324
University of Ghana · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aims to explore the perception of nurses on the use of mobile phone SMS for managing diabetes in rural Ghana.

designExploratory Descriptive Qualitative Design.

methodsPurposive sampling was used to recruit (13) participants relative to data saturation after ethical clearance (REDACTED); using a semi-structured interview guide. All interviews were transcribed verbatim and analysed using thematic content analysis.

resultsParticipants believe SMS was useful in facilitating interaction between nurses, clients, family and statistically significant others; improving medication adherence and supporting blood glucose monitoring. The use of infographics was preferred to traditional SMS among digitally literate patients and voice calls for those who were illiterate. Participants had limited knowledge of downloadable diabetic applications. Participants were willing to accept and use SMS for the management of diabetes mellitus. PATIENT OR PUBLIC CONTRIBUTION: Thirteen nurses actively participated in the study.

Indexed as

Cell PhoneDiabetes MellitusNursesText MessagingBlood GlucoseBlood Glucose Self-MonitoringGhanaHumansPerceptionBlood Glucosediabetes mellitusmHealthnursesnursing managementperceptionSMS

Identifiers

PMID36611225
PMCPMC10077418
OpenAlexW4313702440

What OpenQuestion 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 OpenQuestion graph.