Evidence map›Paper›PMID 37822962›Full record

ArticleDigital health

The effect of web based type 2 diabetes education on diabetes self management.

Filiz Selen, Ülkü Polat

Open access · goldAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

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

2 authors at 2 institutions in 1 country.

Filiz SelenDepartment of Internal Medicine Nursing, Hitit University Faculty of Health Sciences, Corum, Turkey.ORCID https://orcid.org/0000-0003-0913-9044
Ülkü PolatDepartment of Internal Medicine Nursing, Gazi University, Faculty of Health Sciences, Ankara, Turkey.
Gazi University · TRHitit Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study is a control group intervention study to determine the effect of web-based education on diabetes self-management in individuals with type 2 diabetes. Methods: The study was conducted in the Training and Research Hospital Diabetes Education Unit of Hitit University. The study was completed with 75 people (intervention 38, control 37). The data were obtained in the web site through patient identification form, self-management perception scale in diabetes, diabetes attitude, self-care scale and HbA1c, HDL, LDL values were followed by providing training and counseling. The values followed were viewed at the third and sixth months. Written permission was obtained from ethics committee and participants. The data of the study were evaluated with number, percentage, mean, pearson chi-square, independent t-test, repetitive analysis and variance analysis. Results: Statistically significant decrease in HbA1c and LDL values, diabetes self-management scale, diabetes attitude scale and self-care scale scores were found to be significantly different between the intervention and control groups. Conclusion: Web-based education and follow-up studies are effective in decreasing HbA1c values in increasing diabetes self-management skills of individuals with type 2 diabetes. It is recommended to use as a complementary tool in health care services for type 2 diabetes management.

Indexed as

diabetesHbA1cnursingonline educationself managementweb-based education

Identifiers

PMID37822962
PMCPMC10563455
OpenAlexW4387436019

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.