Selection of key health domains from PROMIS® for a generic preference-based scoring system

Janel Hanmer, David Cella, David Feeny, Baruch Fischhoff, Ron D. Hays, Rachel Hess, Paul A. Pilkonis, Dennis Revicki, Mark Roberts, Joel Tsevat, Lan Yu

Research output: Contribution to journalArticle

  • 6 Citations

Abstract

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.

LanguageEnglish (US)
Pages3377-3385
Number of pages9
JournalQuality of Life Research
Volume26
Issue number12
DOIs
StatePublished - Dec 1 2017

Fingerprint

Health
Aptitude
Information Systems
Reproducibility of Results
Cognition
Patient Selection
Fatigue
Sleep
Depression
Pain
Surveys and Questionnaires

Keywords

  • Health domains
  • Health status
  • Health-related quality of life
  • Multi-attribute utility instrument
  • PROMIS
  • Utility

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health

Cite this

Hanmer, J., Cella, D., Feeny, D., Fischhoff, B., Hays, R. D., Hess, R., ... Yu, L. (2017). Selection of key health domains from PROMIS® for a generic preference-based scoring system. Quality of Life Research, 26(12), 3377-3385. DOI: 10.1007/s11136-017-1686-2
Hanmer, Janel ; Cella, David ; Feeny, David ; Fischhoff, Baruch ; Hays, Ron D. ; Hess, Rachel ; Pilkonis, Paul A. ; Revicki, Dennis ; Roberts, Mark ; Tsevat, Joel ; Yu, Lan. / Selection of key health domains from PROMIS® for a generic preference-based scoring system. In: Quality of Life Research. 2017 ; Vol. 26, No. 12. pp. 3377-3385
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Hanmer, J, Cella, D, Feeny, D, Fischhoff, B, Hays, RD, Hess, R, Pilkonis, PA, Revicki, D, Roberts, M, Tsevat, J & Yu, L 2017, 'Selection of key health domains from PROMIS® for a generic preference-based scoring system' Quality of Life Research, vol. 26, no. 12, pp. 3377-3385. DOI: 10.1007/s11136-017-1686-2

Selection of key health domains from PROMIS® for a generic preference-based scoring system. / Hanmer, Janel; Cella, David; Feeny, David; Fischhoff, Baruch; Hays, Ron D.; Hess, Rachel; Pilkonis, Paul A.; Revicki, Dennis; Roberts, Mark; Tsevat, Joel; Yu, Lan.

In: Quality of Life Research, Vol. 26, No. 12, 01.12.2017, p. 3377-3385.

Research output: Contribution to journalArticle

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AU - Hanmer,Janel

AU - Cella,David

AU - Feeny,David

AU - Fischhoff,Baruch

AU - Hays,Ron D.

AU - Hess,Rachel

AU - Pilkonis,Paul A.

AU - Revicki,Dennis

AU - Roberts,Mark

AU - Tsevat,Joel

AU - Yu,Lan

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N2 - 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.

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Hanmer J, Cella D, Feeny D, Fischhoff B, Hays RD, Hess R et al. Selection of key health domains from PROMIS® for a generic preference-based scoring system. Quality of Life Research. 2017 Dec 1;26(12):3377-3385. Available from, DOI: 10.1007/s11136-017-1686-2