Using existing data to identify candidate items for a health state classification system in multiple sclerosis.
Purpose: In multiple sclerosis (MS), the use of preference-based measures is limited to generic measures such as Health Utilities Index Mark 2 and 3, the EQ-5D and the SF-6D. However, the challenge of using such generic preference-based measures in people with MS is that they may not capture all dom...
| Publicado en: | Quality of Life Research Vol. 23; no. 5; pp. 1445 - 1458 |
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| Autores principales: | , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jun2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103824732&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103824732 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09629343 GPQ jtl: Quality of Life Research issn: 09629343 maglogo: N pubinfo: dt: Jun2014 vid: 23 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 103824732 NLM24338161 2012593868 10.1007/s11136-013-0604-5 NLM24338161 103824732 ppf: 1445 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Using existing data to identify candidate items for a health state classification system in multiple sclerosis. aug: au: Kuspinar, Ayse Finch, Lois Pickard, Simon Mayo, Nancy E affil: Faculty of Medicine, School of Physical and Occupational Therapy, McGill University, 3654 Prom Sir William Osler, Montreal, QC, H3G 1Y5, Canada, ayse.kuspinar@mail.mcgill.ca. sug: subj: Multiple Sclerosis Psychosocial Factors Outcomes (Health Care) Methods Quality of Life Questionnaires Standards Sickness Impact Profile Activities of Daily Living Classification Activities of Daily Living Psychosocial Factors Adult Algorithms Female Human Linear Regression Male Multiple Sclerosis Multiple Sclerosis Classification Patient Satisfaction Quality-Adjusted Life Years Quebec Questionnaires Reproducibility of Results Utilization Severity of Illness Indices Visual Analog Scaling Adult: 19-44 years Female Male ab: Purpose: In multiple sclerosis (MS), the use of preference-based measures is limited to generic measures such as Health Utilities Index Mark 2 and 3, the EQ-5D and the SF-6D. However, the challenge of using such generic preference-based measures in people with MS is that they may not capture all domains of health relevant to the disease. Therefore, the main aim of this paper is to describe the development of a health state classification system for MS patients. The specific objectives are: (1) to identify items best reflecting the domains of quality of life important to people with MS and (2) to provide evidence for the discriminative capacity of the response options by cross-walking onto a visual analog scale of health rating.Methods: The data come from an epidemiologically sampled population of people with MS diagnosed post-1994. The dataset consisted of 206 items relating to impairments, activity limitations, participation restrictions, health perception and quality of life. Important domains were identified from the responses to the Patient Generated Index, an individualized measure of quality of life. The extent to which the items formed a uni-dimensional, linear construct was estimated using Rasch analysis, and the best item was selected using the threshold map.Results: The sample was young (mean age 43) and predominantly female (n = 140/189; 74%). The P-PBMSI classification system consisted of five items, with three response levels per item, producing a total of 243 possible health states. Regression coefficient values consistently decreased between response levels and the linear test for trend were statistically significant for all items. The linear test for trend indicated that for each item the response options provided the same discriminative ability within the magnitude of their capacity. A scoring algorithm was estimated using a simple additive formula. The classification system demonstrated convergent validity against other measures of similar constructs and known-groups validity between different clinical subgroups.Conclusion: This study produced a health state classifier system based on items impacted upon by MS, and demonstrated the potential to discriminate the health impact of the disease. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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