An item analysis according to the Rasch model of the German 12-item WHO Disability Assessment Schedule (WHODAS 2.0)

Vaganian, Lusine; Bussmann, Sonja; Boecker, Maren; Kusch, Michael; Labouvie, Hildegard; Gerlach, Alexander L.; Cwik, Jan Christopher

doi:10.1007/s11136-021-02872-8

Cited by 5 publications

(5 citation statements)

References 30 publications

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“…After adjustments to the modification indices, the model tested by the confirmatory factor analysis identified a single factor in the WHODAS 2.0 structure. Although different populations and health conditions are assessed, the generic version of the WHODAS 2.0 also had a single-factor structure [ 9 , 14 , 15 ]. In Brazilians with Chagas disease, WHODAS 2.0 showed 3 factors with adequate global internal consistency (Alpha = 0.87) [ 16 ].…”

Section: Discussionmentioning

confidence: 99%

“…Studies have reported different factor structures (e.g., one-factor [ 14 , 15 ], 3-factor [ 16 ], 4-factor [ 17 ], and 6-factor [ 18 , 19 ]) for the 12-item WHODAS 2.0 in varied populations and health conditions that include men and women [ 14 – 19 ]. Thus, it was necessary to assess the structural validity of this WHODAS 2.0 version in a sample of women with dysmenorrhea by exploratory factor analysis and confirmatory factor analysis.…”

Section: Methodsmentioning

confidence: 99%

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WHODAS measurement properties for women with dysmenorrhea

Arruda

Mantovan

Roza

et al. 2023

Health Qual Life Outcomes

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Background There is an association of dysmenorrhea with human functioning and disability. However, no patient-reported outcome measure has been developed to assess this construct in women with dysmenorrhea. WHODAS 2.0 has been recognized as an important generic patient-reported outcome information of physical function and disability. Thus, the aim of this study was to assess the measurement properties of the WHODAS 2.0 in women with dysmenorrhea. Methods This is an online and cross-sectional study conducted with Brazilian women aged 14 to 42 years with self-report of dysmenorrhea in the last three months. According to COSMIN, structural validity was evaluated by exploratory and confirmatory factor analysis; internal consistency by Cronbach’s Alpha; measurement invariance by multigroup confirmatory factor analysis between geographic regions of Brazil; and construct validity by correlating WHODAS 2.0 to the Numerical Rating Scale for pain severity. Results One thousand three hundred and eighty-seven women (24.7 ± 6.5 years) with dysmenorrhea participated in the study. WHODAS 2.0 presented a single factor by exploratory factor analysis and adequate model by confirmatory factor analysis (CFI = 0.924, TLI = 0.900, RMSEA = 0.038), excellent internal consistence (α = 0.892) for all items and an invariancy across geographic regions (ΔCFI ≤ 0.01 and ΔRMSEA < 0.015). Correlation between WHODAS 2.0 and numerical rating scale was positive and moderate (r = 0.337). Conclusion WHODAS 2.0 has a valid structure to assess functioning and disability related to dysmenorrhea in women.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

WHODAS measurement properties for women with dysmenorrhea

Arruda

Mantovan

Roza

et al. 2023

Health Qual Life Outcomes

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“…Over the past two decades, IRT and Rasch models have been applied to disability measurements (usually as complements to classical methods such as correlation and factor analysis) in numerous studies that aimed to: 1) investigate the psychometric properties of the newly developed WHO Disability Assessment Schedule (WHODAS) [ 22 , 23 ] and the Model Disability Survey (MDS) instruments of the WHO and World Bank [ 24 – 26 ]; 2) investigate stability over time and settings of measures based on ADL, IADL, or both [ 27 – 31 ]; and 3) develop new measures of functioning using existing ADL and IADL subsets [ 32 – 35 ]. Though not the specific aims of these studies, various problems associated with ADL and IADL items have been identified concerning the response categories [ 27 – 29 , 32 , 35 ], strength of unidimensional continuum and redundancy of items [ 31 – 33 ], and DIF with regard to gender [ 30 , 34 , 35 ] and age [ 34 – 36 ].…”

Section: Introductionmentioning

confidence: 99%

Dimensionality and invariance of ADL, IADL, BI-M2/WG-SS, and GALI in large surveys in France (2008–2014) and implications for measuring disability in epidemiology

Coste,

Pérès,

Robine

et al. 2023

Arch Public Health

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Background The epidemiological investigation and surveillance of disability requires well-constructed, invariant, and, if possible, exchangeable measures. However, the current or recommended measures have not been thoroughly investigated with respect to these issues. Here we examined the dimensional structure and invariance of four measures across sociodemographic groups: Activities of Daily Living (ADL), Instrumental Activities of Daily Living (IADL), Budapest Initiative Mark 2 (BI-M2) and Washington Group on Disability Statistics Short Set (WG-SS), and Global Activity Limitation Indicator (GALI). Methods We used data from three large nationwide representative surveys conducted in France between 2008 and 2014. The surveys included these four measures and classical and modern approaches (correlations, principal component analysis, Rasch modeling) were used to assess their dimensional structure as well as their invariance through differential item functioning (DIF) for sociodemographic characteristics. Polytomous logistic regression models were used to assess gradients in health inequalities associated with these measures. Results For many items of ADL, IADL, and BI-M2/WG-SS, we consistently observed disordered response thresholds, rejection of unidimensionality, and DIF evidence for sociodemographic characteristics across the survey samples. Health inequality gradients were erratic. In addition, it was impossible to identify a common continuum for GALI, ADL, IADL, and BI-M2/WG-SS or their constituent items. Conclusion This study warns against the current practice of investigating disability in epidemiology using measures that are unsuitable for epidemiological use, incommensurable, and inadequate regarding the basic requisites of dimensionality and invariance. Developing invariant measures and equating them along a common continuum to enlarge the common bases of measurement should therefore be a priority.

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“…Its application is well suited whenever new patient-reported outcome measures (PROMs) shall be developed, for example, 16,17 or whenever existing PROMs shall be reviewed and where necessary be revised. [18][19][20][21][22] It possesses desirable mathematical properties and allows for a unified approach to simultaneously investigate several measurement issues 23,24 as unidimensionality, local independence, differential item functioning (DIF) and targeting.…”

Section: Introductionmentioning

confidence: 99%

“…This is supported when looking more closely to the items showing the DIF with regard to receiving an injectable antidiabetic drug. In fact, the DIF is related to the items from the "Follow-up/Coordination"-subdimension (Items[16][17][18][19][20] which reflect how far the attending doctor coordinates and supervises the treatments of other health services. This could indicate a slight difference in treatment of patients receiving an injectable antidiabetic drug-with the difference being especially pronounced with regard to the 'Follow-up/Coordination'-aspect.Regarding the dimensionality of the PACIC-20, we found that the PACIC-20 can indeed be regarded as a unidimensional scale including all 20 items if the huge amount of response dependency across items is accounted for.…”

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confidence: 99%

Psychometric evaluation of the Patient Assessment of Chronic Illness Care instrument using Item analysis according to the Rasch model

Boecker

Iglesias

Peytremann‐Bridevaux

2022

Evaluation Clinical Practice

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Rationale, aims and objectives: The Patient Assessment of Chronic Illness Care (PACIC) instrument assesses patient care in alignment with the chronic care model. The aim of the study was to comprehensively validate the PACIC using the Rasch model. A special focus was placed on the investigation of local dependence (LD), differential item functioning (DIF) and targeting. Method: This secondary analysis utilized data of 760 patients with a diagnosis of diabetes who had participated in the Swiss CoDiab-VD cohort study. The psychometric properties of the French PACIC-version were evaluated using the Rasch model. DIF was investigated in relation to age, gender, education, year of recruitment into the CoDiab-VD cohort study, type of diabetes and whether patients got an injectable antidiabetic drug or not. Results:The initial analysis of the PACIC revealed poor fit to the Rasch model (χ 2 -p < 0.001) with response dependency being the most prominent problem. After combining the items into two testlets (testlet 1: Items 1-11; testlet 2: Items 12-20), good overall model fit was found (χ 2 -p = 0.77) as well as good reliability (Person Separation Index = 0.85) and targeting. DIF with regard to whether patients got an injectable antidiabetic drug or not was found for testlet 2. However, the size of this DIF was regarded as not being substantial. Conclusion:The PACIC is a well-targeted, reliable unidimensional instrument to assess patient care in alignment with the chronic care model in patients with diabetes. It is free of substantial DIF. The PACIC-20 sum score can hence be used in clinical practice for individual diagnostic. For evaluation purposes like assessment of change or group evaluations, the usage of the interval-scale level person parameters is recommended as it permits using parametric statistical analyses and provides a more accurate picture about the actual amount of change.

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An item analysis according to the Rasch model of the German 12-item WHO Disability Assessment Schedule (WHODAS 2.0)

Cited by 5 publications

References 30 publications

WHODAS measurement properties for women with dysmenorrhea

WHODAS measurement properties for women with dysmenorrhea

Dimensionality and invariance of ADL, IADL, BI-M2/WG-SS, and GALI in large surveys in France (2008–2014) and implications for measuring disability in epidemiology

Psychometric evaluation of the Patient Assessment of Chronic Illness Care instrument using Item analysis according to the Rasch model

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