Evidence map›Paper›PMID 42363272›Full record

ArticleHealth and quality of life outcomes2026

A multicenter longitudinal study on development and validation of the quality of life scale QLICD-DM (V2.0) for diabetes mellitus based on classical test theory and generalizability theory.

Yuxi Liu, Chen Zhou, Runmin Guo, Xiaoqing Zhang, Qingqing Zhang, Chonghua Wan, Riling Chen

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in Health and quality of life outcomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yuxi Liu *Shunde Women and Children's Hospital of Guangdong Medical University, Foshan, 528300, China.
Chen Zhou *Department of Public Health, The Central Hospital of Yongzhou, Yongzhou, 425000, China.
Runmin GuoShunde Women and Children's Hospital of Guangdong Medical University, Foshan, 528300, China.
Xiaoqing ZhangSchool of Public Health, Kunming Medical University, Kunming, 650500, China.
Qingqing ZhangDepartment of Statistics and Medical Record Management, Shandong Provincial Hospital, Jinan, 250021, China.
Chonghua WanSchool of Humanities and Management, Research Center for Quality of Life and Applied Psychology, Guangdong Medical University, Dongguan, 523808, China. wanchh@hotmail.com.ORCID https://orcid.org/0000-0002-7323-6837
Riling ChenShunde Women and Children's Hospital of Guangdong Medical University, Foshan, 528300, China. chenrl319@163.com.

Funding

the National Natural Science Foundation of China 71373058
6 · The paper itself

Abstract

purposeQuality of life (QOL) research in diabetes has long been a concern with many specific instruments being developed, but no scale for diabetes has been developed based on the modular approach. This study aimed to develop and validate the Diabetes Mellitus Scale of the System of Quality of Life Instruments for Chronic Diseases QLICD-DM (V2.0) by a modular approach and mixed methods.

methodsThe Scale was developed based on procedural decision-making methods and by combining the general module and the specific module. The instrument was used to assess the quality of life of 242 diabetic patients both before and after treatments. Under Classical Test Theory (CTT), the psychometric properties of the scale were assessed with regard to validity, reliability and responsiveness by correlation analyses, structural equation modeling, as well as t-tests. In addition, G-study and D-study in Generalizability Theory (GT) were used to validate the scale further.

resultsThe QLICD-DM (V2.0) was developed with a 14-item specific module and a 28-item general module in the final scale. For all domains, Cronbach's α values were greater than 0.70 with the exception of physical function (0.68), the test-retest reliability correlations r and ICCs were greater than 0.80 with the exception of physical and social function (0.65,0.64). The theoretical construct was supported by correlation analyses and confirmatory factor analysis using structural equation modeling, which demonstrated good construct validity. There were significant differences (P < 0.05) in the domains of physical function, specific module and the total scale before and after treatments. The standardized response means (SRMs) of the physical, psychological, social, and the specific module were 0.36, 0.14, 0.11 and 0.28 respectively. All G-coefficients were all greater than 0.70 with the exception of the physical domain (0.683), further confirming the reliability of the scale further. The overall error was found to be small in the G-study and in the D-study, indicating a high level of accuracy.

conclusionThe QLICD-DM (V2.0) not only integrated characteristics of generic and disease-specific instruments but also demonstrated good reliability, validity, and moderate responsiveness, and it could serve as a quality of life assessment tool for diabetes patients.

Indexed as

Diabetes MellitusDiabetes Mellitus, Type 2PsychometricsQuality of LifeAdultAgedFemaleHumansLongitudinal StudiesMaleMiddle AgedReproducibility of ResultsSurveys and QuestionnairesClassical test theoryDiabetesGeneralizability theoryPsychometric propertiesQuality of lifeStandardized response mean

Identifiers

PMID42363272
PMCPMC13579986

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.