Literature DB >> 26851249

A study of the psychometric properties of 12-item World Health Organization Disability Assessment Schedule 2.0 in a large population of people with chronic musculoskeletal pain.

Mikhail Saltychev1, Esa Bärlund2, Ryan Mattie3, Zachary McCormick4, Jaana Paltamaa5, Katri Laimi1.   

Abstract

OBJECTIVE: To assess the validity of the Finnish translation of the 12-item World Health Organization Disability Assessment Schedule (WHODAS 2.0).
DESIGN: Cross-sectional cohort survey study.
SETTING: Physical and Rehabilitation Medicine outpatient university clinic.
SUBJECTS: The 501 consecutive patients with chronic musculoskeletal pain. MAIN MEASURES: Exploratory factor analysis and a graded response model using item response theory analysis were used to assess the constructs and discrimination ability of WHODAS 2.0.
RESULTS: The exploratory factor analysis revealed two retained factors with eigenvalues 5.15 and 1.04. Discrimination ability of all items was high or perfect, varying from 1.2 to 2.5. The difficulty levels of seven out of 12 items were shifted towards the elevated disability level. As a result, the entire test characteristic curve showed a shift towards higher levels of disability, placing it at the point of disability level of +1 (where 0 indicates the average level of disability within the sample).
CONCLUSIONS: The present data indicate that the Finnish translation of the 12-item WHODAS 2.0 is a valid instrument for measuring restrictions of activity and participation among patients with chronic musculoskeletal pain.

Entities:  

Keywords:  Functioning; item response theory; pain assessment; participation (WHO ICF); psychometry

Mesh:

Year:  2016        PMID: 26851249     DOI: 10.1177/0269215516631385

Source DB:  PubMed          Journal:  Clin Rehabil        ISSN: 0269-2155            Impact factor:   3.477


  7 in total

1.  Psychometric properties and a latent class analysis of the 12-item World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) in a pooled dataset of community samples.

Authors:  Melissa A MacLeod; Paul F Tremblay; Kathryn Graham; Sharon Bernards; Jürgen Rehm; Samantha Wells
Journal:  Int J Methods Psychiatr Res       Date:  2016-09-15       Impact factor: 4.035

2.  Psychometric properties of the 12-item WHODAS applied through phone survey: an experience in PERSIAN Traffic Cohort.

Authors:  Nasrin Shahedifar; Homayoun Sadeghi-Bazargani; Mohammad Asghari-Jafarabadi; Mostafa Farahbakhsh; Shahrzad Bazargan-Hejazi
Journal:  Health Qual Life Outcomes       Date:  2022-07-09       Impact factor: 3.077

3.  WHODAS 2.0-BO: normative data for the assessment of disability in older adults.

Authors:  Michele Lacerda Pereira Ferrer; Monica Rodrigues Perracini; Flávio Rebustini; Cassia Maria Buchalla
Journal:  Rev Saude Publica       Date:  2019-01-31       Impact factor: 2.106

4.  European violence risk and mental disorders (EU-VIORMED): a multi-centre prospective cohort study protocol.

Authors:  Giovanni de Girolamo; Giuseppe Carrà; Heiner Fangerau; Clarissa Ferrari; Pawel Gosek; Janusz Heitzman; Hans Salize; Margaret Walker; Johannes Wancata; Marco Picchioni
Journal:  BMC Psychiatry       Date:  2019-12-19       Impact factor: 3.630

5.  Psychometric Properties of the Polish Version of the 36-Item WHODAS 2.0 in Patients with Low Back Pain.

Authors:  Agnieszka Ćwirlej-Sozańska; Agnieszka Bejer; Agnieszka Wiśniowska-Szurlej; Anna Wilmowska-Pietruszyńska; Alessandro de Sire; Renata Spalek; Bernard Sozański
Journal:  Int J Environ Res Public Health       Date:  2020-10-06       Impact factor: 3.390

6.  The 12 items Amharic version WHODAS-2 showed cultural adaptation and used to measure disability among road traffic trauma victims in Ethiopia.

Authors:  Zewditu Abdissa Denu; Mensur Osman Yassin; Telake Azale Bisetegn; Gashaw Andargie Biks; Kassahun Alemu Gelaye
Journal:  BMC Psychol       Date:  2021-01-02

7.  World Health Organisation Disability Assessment Schedule (WHODAS 2.0): development and validation of the Nigerian Igbo version in patients with chronic low back pain.

Authors:  Chinonso Nwamaka Igwesi-Chidobe; Sheila Kitchen; Isaac Olubunmi Sorinola; Emma Louise Godfrey
Journal:  BMC Musculoskelet Disord       Date:  2020-11-17       Impact factor: 2.362

  7 in total

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