Dataset Information

Measurement invariance across chronic conditions: a systematic review and an empirical investigation of the Health Education Impact Questionnaire (heiQ™).

ABSTRACT:

Background

To examine whether lack of measurement invariance (MI) influences mean comparisons among different disease groups, this paper provides (1) a systematic review of MI in generic constructs across chronic conditions and (2) an empirical analysis of MI in the Health Education Impact Questionnaire (heiQ™).

Methods

(1) We searched for studies of MI among different chronic conditions in online databases. (2) Multigroup confirmatory factor analyses were used to study MI among five chronic conditions (orthopedic condition, rheumatism, asthma, COPD, cancer) in the heiQ™ with N?=?1404 rehabilitation inpatients. Impact on latent and composite mean differences was examined.

Results

(1) A total of 30 relevant studies suggested that about one in three items lacked MI. However, only four studies examined impact on latent mean differences. Scale means were only affected in one of these three studies. (2) Across the eight heiQ™ scales, seven scales had items with lack of MI in at least one disease group. However, in only two heiQ™ scales were some latent or composite mean differences affected.

Conclusions

Lack of MI among disease groups is common and may have a relevant influence on mean comparisons when using generic instruments. Therefore, when comparing disease groups, tests of MI should be implemented. More studies of MI and according impact on mean differences in generic questionnaires are needed.

SUBMITTER: Schuler M

PROVIDER: S-EPMC4021509 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature

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Publications

Measurement invariance across chronic conditions: a systematic review and an empirical investigation of the Health Education Impact Questionnaire (heiQ™).

Schuler Michael M Musekamp Gunda G Bengel Jürgen J Nolte Sandra S Osborne Richard H RH Faller Hermann H

Health and quality of life outcomes 20140423

<h4>Background</h4>To examine whether lack of measurement invariance (MI) influences mean comparisons among different disease groups, this paper provides (1) a systematic review of MI in generic constructs across chronic conditions and (2) an empirical analysis of MI in the Health Education Impact Questionnaire (heiQ™).<h4>Methods</h4>(1) We searched for studies of MI among different chronic conditions in online databases. (2) Multigroup confirmatory factor analyses were used to study MI among f ...[more]

PMID: 24758346

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Project description:BackgroundShort versions of the European Health Literacy Survey (HLS-EU) questionnaire are increasingly used to measure and compare health literacy (HL) in populations worldwide. As no validated versions of these questionnaires have thus far appeared in French, this study aimed to study the psychometric properties of the French translation of the 16- and 6-item short versions (HLS-EU-Q16 and HLS-EU-Q6), including their measurement invariance across sex, age, and education level.MethodsA consensual French version of the HLS-EU-Q16 and HLS-EU-Q6 was developed by following the current recommendations for transcultural questionnaire adaptation. It was then completed by 317 patients recruited in waiting rooms of general practitioners in the Paris area (France). Structural validity was studied with the Rasch model for the HLS-EU-Q16 and confirmatory factorial analysis (CFA) for the HLS-EU-Q6. Concurrent and convergent validity, respectively, were assessed by scores on the Functional Communicative Critical Health Literacy (FCCHL) questionnaire and the physicians' evaluations of their patient's HL.ResultsThe 16 items of the HLS-EU-Q16 were Rasch homogenous but meaningful differential item functioning (DIF) was found across sex, age, and/or education level for eight items. The CFA model fit for the HLS-EU-Q6 was poor. The overall scores for both HLS-EU short versions correlated poorly with the FCCHL scores. Similarly, HL levels defined using either short-version score did not agree with physicians' HL assessments.ConclusionThe French version of the HLS-EU-Q16 has acceptable psychometric properties, despite meaningful DIF for age, sex and education level and a poor discriminative power among subjects with average to high HL level. We recommend its use to measure HL in populations with sufficient reading skills to discriminate between subjects with low to average HL. Also, sensitivity analyses should be performed to evaluate the potential measurement bias due to DIF. Our results did not demonstrate the validity of the HLS-EU-Q6.

Project description:ObjectiveThe sleep of healthcare students is worth discovering. Mental health and self-rated health are thought to be associated with sleep quality. As such, valid instruments to assess sleep quality in healthcare students are crucial and irreplaceable. This study aimed to investigate the measurement properties of the Sleep Quality Questionnaire (SQQ) for Chinese healthcare students.MethodsTwo longitudinal assessments were undertaken among healthcare students, with a total of 595, between December 2020 and January 2021. Measures include the Chinese version of the SQQ, Patient Health Questionnaire-4 (PHQ-4), Self-Rated Health Questionnaire (SRHQ), and sociodemographic questionnaire. Structural validity through confirmatory factor analysis (CFA) was conducted to examine factor structure of the SQQ. T-tests and ANOVAs were used to examine sociodemographic differences in sleep quality scores. Multi Group CFA and longitudinal CFA were respectively used to assess cross-sectional invariance and longitudinal invariance across two-time interval, i.e., cross-cultural validity. Construct validity, internal consistency, and test-retest reliability were correspondingly examined via Spearman correlation, Cronbach's alpha and McDonald's omega, and intraclass correlation coefficient. Multiple linear regression analysis was performed to examine incremental validity of the SQQ based on the PHQ-4 and SRHQ as indicators of the criterion variables.ResultsCFA results suggested that the two-factor model of the SQQ-9 (item 2 excluded) had the best fit. The SQQ-9 scores differed significantly by age, grade, academic stage, hobby, stress coping strategy, anxiety, depression, and self-rated health subgroups. Measurement invariance was supported in terms of aforesaid subgroups and across two time intervals. In correlation and regression analyses, anxiety, depression, and self-rated health were moderately strong predictors of sleep quality. The SQQ-9 had good internal consistency and test-retest reliability.ConclusionGood measurement properties suggest that the SQQ is a promising and practical measurement instrument for assessing sleep quality of Chinese healthcare students.

Dataset Information

Measurement invariance across chronic conditions: a systematic review and an empirical investigation of the Health Education Impact Questionnaire (heiQ™).

Background

Methods

Results

Conclusions

Publications

Measurement invariance across chronic conditions: a systematic review and an empirical investigation of the Health Education Impact Questionnaire (heiQ™).

Similar Datasets

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