Measuring Recovery Related Outcomes: A Psychometric Investigation of the Recovery Markers Inventory

The concept of recovery can be operationalized from either the point of view of the consumer or from the perspective of the provider of services. The Recovery Markers Inventory (RMI) was created to assess recovery-related factors (i.e., actions/events associated with consumer’s recovery) from the pr...

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Bibliographic Details
Published in:Community mental health journal 2014-11, Vol.50 (8), p.896-902
Main Authors: Lusczakoski, Kate DeRoche, Olmos-Gallo, P. Antonio, McKinney, C. J., Starks, Roy, Huff, Steve
Format: Article
Language:English
Subjects:
Adolescent
Adult
Aged
Aged, 80 and over
Attitude of Health Personnel
Clinical outcomes
Community and Environmental Psychology
Community health care
Community Mental Health Centers
Consumers
Discriminant analysis
Drug use
Education
Employment
Factor Analysis, Statistical
Female
Humans
Male
Management information systems
Medicine
Medicine & Public Health
Mental disorders
Mental Disorders - rehabilitation
Mental health
Mental health care
Middle Aged
Original Paper
Outcome Assessment (Health Care) - methods
Outcome Assessment (Health Care) - standards
Patient Outcome Assessment
Principal components analysis
Psychiatry
Psychometrics
Quantitative psychology
Recovery (Medical)
Reproducibility of Results
Surveys and Questionnaires - standards
Symptom management
Treatment Outcome
United States
Validity
Young Adult
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Summary:The concept of recovery can be operationalized from either the point of view of the consumer or from the perspective of the provider of services. The Recovery Markers Inventory (RMI) was created to assess recovery-related factors (i.e., actions/events associated with consumer’s recovery) from the provider’s perspective. Evidence, which established the psychometric properties of the RMI, was obtained through the use of: (a) construct validity (i.e., confirmatory factor analysis and Rasch principal components analysis of residuals); (b) concurrent validity (i.e., the calculation of Pearson correlations between the RMI and other recovery-oriented instruments); and (c) reliability (i.e., Rasch Partial Credit models). Evidence presented in this article shows that the RMI scale is unidimensional, has an adequate level of correlation, and acceptable reliability. The current analysis provides evidence to support the RMI as a valid, reliable measure of recovery-related factors, which can complement consumer based instruments in the assessment of changes in recovery.
ISSN:0010-3853
1573-2789
DOI:10.1007/s10597-014-9728-5