Evidence map›Paper›PMID 29703205›Full record

Observational studyHealth and quality of life outcomes2018

Item reduction and validation of the Chinese version of diabetes quality-of-life measure (DQOL).

Xuejing Jin, Gordon G Liu, Hertzel C Gerstein, Mitchell A H Levine, Kathleen Steeves, Haijing Guan, Hongchao Li, Feng Xie

Abstract readObservational StudyValidation Study
In one paragraph

Observational study in Health and quality of life outcomes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
–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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Health Related Quality of Life Measurements for Diabetes: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  3. Pooled it
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  7. Review
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  11. Development, validation and item reduction of a food literacy questionnaire (IFLQ-19) with Australian adults.The international journal of behavioral nutrition and physical activity · 2022
    Article
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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.

Xuejing JinDepartment of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, ON, L8S 4K1, Canada.
Gordon G LiuChina Center for Health Economic Research, Peking University, Beijing, 100800, China.
Hertzel C GersteinDepartment of Medicine, McMaster University, Hamilton, ON, L8S 4K1, Canada.
Mitchell A H LevineDepartment of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, ON, L8S 4K1, Canada.
Kathleen SteevesDepartment of Sociology, McMaster University, Hamilton, ON, L8S 4K1, Canada.
Haijing GuanChina Center for Health Economic Research, Peking University, Beijing, 100800, China.
Hongchao LiSchool of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, 211198, Jiangsu, China.
Feng XieDepartment of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, ON, L8S 4K1, Canada. fengxie@mcmaster.ca.ORCID http://orcid.org/0000-0003-3454-6266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Diabetes Quality-of-Life (DQOL) Measure is a 46-item diabetes-specific quality of life instrument. The original English version of the DQOL has been translated into Chinese after cultural adaption, and the Chinese DQOL has been validated in the Chinese diabetic patient population and used in diabetes-related studies. There are two recognized problems with the Chinese DQOL: 1) the instrument is too long, and 2) the non-response rate of certain items is relatively high. This study aimed to develop and validate a short version for the Chinese DQOL.

methodsItem reduction was conducted based on the classical test theory (CTT) and item response theory (IRT), each combined with exploratory factor analysis (EFA). The confirmatory factor analysis (CFA) and Spearman correlation coefficient were employed in validating the short versions.

resultsBoth the study sample (n = 2,886) and the validation sample (n = 2,286) were from a longitudinal observation study of Chinese type 2 diabetic patients. The CTT kept 32 items, and the IRT kept 24 items from the original 46-item version. The two short versions were comparable in psychometric properties.

conclusionThe 24-item IRT-based short version of the Chinese DQOL was selected as the preferred short version because it imposes a lower burden on patients without compromising the psychometric properties of the instrument.

Indexed as

Quality of LifeAdultChinaDiabetes Mellitus, Type 2Factor Analysis, StatisticalFemaleHumansLanguageLongitudinal StudiesMaleMiddle AgedPsychometricsSurveys and QuestionnairesTranslationsClassical test theoryDiabetesFactor analysisItem response theoryPsychometricsQuality of life

Identifiers

PMID29703205
PMCPMC5921810

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Registered trials

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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.