Selection of key health domains from PROMIS® for a generic preference-based scoring system.
Purpose: We sought to select a parsimonious subset of domains from the patient-reported outcomes measurement information system (PROMIS®) that could be used for preference-based valuation. Domain selection criteria included face validity, comprehensiveness, and structural independence.Methods: First...
| Publicado en: | Quality of Life Research Vol. 26; no. 12; pp. 3377 - 3386 |
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| Autores principales: | , , , , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2017
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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=126170728&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 126170728 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09629343 GPQ jtl: Quality of Life Research issn: 09629343 maglogo: N pubinfo: dt: Dec2017 vid: 26 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 126170728 126170728 144026044 NLM28825177 126170728 10.1007/s11136-017-1686-2 NLM28825177 126170728 ppf: 3377 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Selection of key health domains from PROMIS® for a generic preference-based scoring system. aug: au: Hanmer, Janel Cella, David Feeny, David Fischhoff, Baruch Hays, Ron Hess, Rachel Pilkonis, Paul Revicki, Dennis Roberts, Mark Tsevat, Joel Yu, Lan Hays, Ron D Pilkonis, Paul A affil: Department of General Internal Medicine , University of Pittsburgh Medical Center , 230 McKee Place, Suite 600 Pittsburgh 15213 USA sug: subj: Severity of Illness Indices Quality of Life Psychosocial Factors Patient-Reported Outcomes Adult Female Funding Source Human Surveys Delphi Technique Adult: 19-44 years Female ab: Purpose: We sought to select a parsimonious subset of domains from the patient-reported outcomes measurement information system (PROMIS®) that could be used for preference-based valuation. Domain selection criteria included face validity, comprehensiveness, and structural independence.Methods: First, 9 health outcomes measurement experts selected domains appropriate for a general health measure using a modified Delphi procedure. Second, 50 adult community members assessed structural independence of domain pairs. For each pair, the participant was asked if it were possible to have simultaneously good functioning in domain 1 but poor functioning in domain 2, and vice versa. The community members also rated the relative importance of the domains. Finally, the experts selected domains, guided by community members' judgments of structural independence and importance.Results: After 3 rounds of surveys, the experts agreed on 10 potential domains. The percent of pairs deemed structurally independent by community members ranged from 50 to 95 (mean = 78). Physical Function, Pain Interference, and Depression were retained because of their inclusion in existing preference-based measures and their importance to community members. Four other domains were added because they were important to community members and judged to be independent by at least 67% of respondents: Cognitive Function-Abilities; Fatigue; Ability to Participate in Social Roles and Activities; and Sleep Disturbance.Conclusion: With input from measurement experts and community members, we selected 7 PROMIS domains that can be used to create a preference-based score. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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