Literature DB >> 28893097

Factor validation and Rasch analysis of the individual recovery outcomes counter.

Geoffrey L Dickens1, Bridey Rudd1,2, Nutmeg Hallett3, Robin M Ion1, Scott M Hardie1.   

Abstract

OBJECTIVE: The individual recovery outcomes counter is a 12-item personal recovery self-assessment tool for adults with mental health problems. Although widely used across Scotland, limited research into its psychometric properties has been conducted. We tested its' measurement properties to ascertain the suitability of the tool for continued use in its' present form.
MATERIALS AND METHODS: Anonymised data from the assessments of 1743 adults using mental health services in Scotland were subject to tests based on principles of Rasch measurement theory, principal components analysis and confirmatory factor analysis.
RESULTS: Rasch analysis revealed that the six-point response structure of the individual recovery outcomes counter (I.ROC) was problematic. Re-scoring on a four-point scale revealed well-ordered items that measure a single, recovery-related construct, and has acceptable fit statistics. Confirmatory factor analysis supported this. Scale items covered around 75% of the recovery continuum; those individuals least far along the continuum were least well addressed.
CONCLUSIONS: A modified tool worked well for many, but not all, service users. The study suggests specific developments are required if the I.ROC is to maximise its' utility for service users and provide meaningful data for service providers. Implications for Rehabilitation Agencies and services working with people with mental health problems aim to help them with their recovery. The individual recovery outcomes counter has been developed and is used widely in Scotland to help service users track their progress to recovery. Using a large sample of routinely collected data we have demonstrated that a number of modifications are needed if the tool is to adequately measure recovery. This will involve consideration of the scoring system, item content and inclusion, and theoretical basis of the tool.

Entities:  

Keywords:  Mental health; Rasch measurement theory; factor analysis; recovery; validity

Mesh:

Year:  2017        PMID: 28893097     DOI: 10.1080/09638288.2017.1375030

Source DB:  PubMed          Journal:  Disabil Rehabil        ISSN: 0963-8288            Impact factor:   3.033


  6 in total

1.  Factors influencing the implementation of mental health recovery into services: a systematic mixed studies review.

Authors:  Myra Piat; Megan Wainwright; Eleni Sofouli; Brigitte Vachon; Tania Deslauriers; Cassandra Préfontaine; Francesca Frati
Journal:  Syst Rev       Date:  2021-05-05

2.  Reliability and validity of the Japanese version of the ADL-focused Occupation-based Neurobehavioural Evaluation (A-ONE J): Applying Rasch analysis methods.

Authors:  Yasuhiro Higashi; Shinichi Takabatake; Asako Matsubara; Koji Nishikawa; Hiroto Shigeta; Guðrún Árnadóttir
Journal:  Hong Kong J Occup Ther       Date:  2019-02-05       Impact factor: 0.917

Review 3.  Measuring Recovery in Deaf, Hard-of-Hearing, and Tinnitus Patients in a Mental Health Care Setting: Validation of the I.ROC.

Authors:  Karin C M Roze; Corrie Tijsseling; Bridey Rudd; Bea G Tiemens
Journal:  J Deaf Stud Deaf Educ       Date:  2020-04-05

4.  Measuring personal recovery in a low-intensity community mental healthcare setting: validation of the Dutch version of the individual recovery outcomes counter (I.ROC).

Authors:  Thijs Beckers; Bauke Koekkoek; Giel Hutschemaekers; Bridey Rudd; Bea Tiemens
Journal:  BMC Psychiatry       Date:  2022-01-14       Impact factor: 3.630

5.  Psychometric evaluation of an interview-administered version of the Kessler 10-item questionnaire (K10) for measuring psychological distress in rural Bangladesh.

Authors:  Mohammed Nazim Uddin; Fakir M Amirul Islam; Abdullah Al Mahmud
Journal:  BMJ Open       Date:  2018-06-30       Impact factor: 2.692

6.  Evaluation of psychometric properties of the activities of daily living scale of motor function used by caregivers using Rasch analysis.

Authors:  Toshikatsu Kaneda; Shinichi Takabatake; Yasuhiro Higashi; Yuka Horishima; Yuta Somei; Kazuyo Nakaoka; Hiroshi Warabino; Kousuke Kuwada; Tomosaburo Sakamoto; Kazuhisa Domen
Journal:  J Phys Ther Sci       Date:  2020-02-14
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.