Evidence map›Paper›PMID 35646480›Full record

ArticlePeerJ2022

Psychometric properties of the general self-efficacy scale among Thais with type 2 diabetes: a multicenter study.

Cameron Hurst, Nitchamon Rakkapao, Eva Malacova, Sirima Mongkolsomlit, Pear Pongsachareonnont, Ram Rangsin, Yindee Promsiripaiboon, Gunter Hartel

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 21% 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, 10 citations in OpenAlex.

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  8. Effect of self-efficacy-based training on metabolic control of patients with type 2 diabetes.International journal of physiology, pathophysiology and pharmacology · 2022
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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

8 authors at 5 institutions in 2 countries.

Cameron HurstBiostatistics Group, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Nitchamon RakkapaoFaculty of Public Health, Thammasat University, Rangsit, Prathumthani, Thailand.
Eva MalacovaBiostatistics Group, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Sirima MongkolsomlitFaculty of Public Health, Thammasat University, Rangsit, Prathumthani, Thailand.
Pear PongsachareonnontVitreoretinal Research Unit, Chulalongkorn University, Pathumwan, Bangkok, Thailand.
Ram RangsinDepartment of Military and Community Medicine, Phramongkutklao College of Medicine, Din Daeng, Bangkok, Thailand.
Yindee PromsiripaiboonDepartment of Public Health, Surat Thani Rajabhat University, Mueng, Surat Thani, Thailand.
Gunter HartelBiostatistics Group, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
QIMR Berghofer Medical Research Institute · AUThammasat University · THChulalongkorn University · THPhramongkutklao College of MedicineSuratthani Rajabhat University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Type 2 diabetes (T2D) is one of the most common chronic diseases in the world. In recent decades the prevalence of this disease has increased alarmingly in lower to middle income countries, where their resource-limited health care systems have struggled to meet this increased burden. Improving patient self-care by improving diabetes knowledge and diabetes management self-efficacy represents a feasible way of ameliorating the impact of T2D on the patient, and the health care system. Unfortunately, the relationships between self-efficacy, diabetes self-management, and thereafter, patient outcomes, are still far from well understood. Although a domain-specific measure of diabetes management self-efficacy, the Diabetes Management Self-Efficacy Scale (DMSES), has been validated in the Thai T2D population, more general measures of self-efficacy, such as the General Self-Efficacy scale (GSE) have not been validated in this population. In this paper we translate and examine the psychometric properties of the GSE in Thais living with T2D. Methods: In this nation-wide study we examined the psychometric properties of the GSE in 749 Thais diagnosed with T2D within the last five years, and evaluated its relationship with the DMSES along with other patient characteristics. Reliability of GSE was assessed using Cronbach's alpha, and the construct validity was examined using confirmatory factor analysis, along with GSE's convergence and discrimination from DMSES. Results: The Thai version of the GSE was shown to have good psychometric properties in Thais living with T2D. Cronbach's alpha was shown to be 0.87 (95% CI [0.86, 0.88]). We also demonstrated the structural validity of the GSE (Tucker-Lewis Index = 0.994, Cumulative Fit Index = 0.995, Adjusted Goodness of Fit Index = 0.998, Root Mean Square Error of Approximations = 0.025, 95% CI [0.06-0.039]), and that this instrument has a similar structure in Thais as in other populations. GSE was also shown to have some overlap with the DMSES with correlations among GSE and the DMSES domains ranging from 0.18 to 0.26, but also the GSE has substantial discrimination from DMSES (Disattenuated correlation coefficient = 0.283, 95% CI [0.214-0.352], Conclusions: We demonstrate that the Thai GSE is a reliable and valid measure. We believe the GSE may represent a useful tool to examine the efficacy of proposed and existing diabetes self-management, and management self-efficacy interventions.

Indexed as

Diabetes Mellitus, Type 2Self EfficacyHumansPsychometricsReproducibility of ResultsSelf CareSurveys and QuestionnairesThailandGeneral self-efficacyPatient self-carePsychometric validationType 2 Diabetes

Identifiers

PMID35646480
PMCPMC9135036
OpenAlexW4281285479

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.