Literature DB >> 28795261

A method to create a standardized generic and condition-specific patient-reported outcome measure for patient care and healthcare improvement.

Karen E Schifferdecker1,2, Susan E Yount3, Karen Kaiser3, Anna Adachi-Mejia4,5,6, David Cella3, Kathleen L Carluzzo5, Amy Eisenstein3,7, Michael A Kallen3, George J Greene3, David T Eton8, Elliott S Fisher6.   

Abstract

PURPOSE: Patient-reported outcome measures (PROMs), which are generic or condition-specific, are used for a number of reasons, including clinical care, clinical trials, and in national-level efforts to monitor the quality of health care delivery. Creating PROMs that meet different purposes without overburdening patients, healthcare systems, providers, and data systems is paramount. The objective of this study was to test a generalizable method to incorporate condition-specific issues into generic PROM measures as a first step to producing PROMs that efficiently provide a standardized score. This paper outlines the method and preliminary findings focused on a PROM for osteoarthritis of the knee (OA-K).
METHODS: We used a mixed-methods approach and PROMIS® measures to test development of a combined generic and OA-K-specific PROM. Qualitative methods included patient focus groups and provider interviews to identify impacts of OA-K important to patients. We then conducted a thematic analysis and an item gap analysis: identified areas covered by existing generic PROMIS measures, identified "gap" areas not covered, compared gap areas to legacy instruments to verify relevance, and developed new items to address gaps. We then performed cognitive testing on new items and drafted an OA-K-specific instrument based on findings.
RESULTS: We identified 52 existing PROMIS items and developed 24 new items across 14 domains.
CONCLUSIONS: We developed a process for creating condition-specific instruments that bridge gaps in existing generic measures. If successful, the methodology will create instruments that efficiently gather the patient's perspective while allowing health systems, researchers, and other interested parties to monitor and compare outcomes over time, conditions, and populations.

Entities:  

Keywords:  Healthcare quality; Mixed methods; Osteoarthritis of the knee; Patient-reported outcome measure

Mesh:

Year:  2017        PMID: 28795261     DOI: 10.1007/s11136-017-1675-5

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  27 in total

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2.  Standardizing Patient Outcomes Measurement.

Authors:  Michael E Porter; Stefan Larsson; Thomas H Lee
Journal:  N Engl J Med       Date:  2016-02-11       Impact factor: 91.245

3.  Association between generic and disease-specific quality of life questionnaires and mobility and balance among women with osteoporosis and vertebral fractures.

Authors:  Astrid Bergland; Hilde Thorsen; Rannveig Kåresen
Journal:  Aging Clin Exp Res       Date:  2011-08       Impact factor: 3.636

4.  A PROMIS fatigue short form for use by individuals who have multiple sclerosis.

Authors:  Karon F Cook; Alyssa M Bamer; Toni S Roddey; George H Kraft; Jiseon Kim; Dagmar Amtmann
Journal:  Qual Life Res       Date:  2011-09-17       Impact factor: 4.147

5.  The Validity of Disease-specific Quality of Life Attributions Among Adults with Multiple Chronic Conditions.

Authors:  John E Ware; Barbara Gandek; Jeroan Allison
Journal:  Int J Stat Med Res       Date:  2016

6.  Patient reported outcome measures could help transform healthcare.

Authors:  Nick Black
Journal:  BMJ       Date:  2013-01-28

7.  Which is more valid for stroke patients: generic or stroke-specific quality of life measures?

Authors:  Mayowa Ojo Owolabi
Journal:  Neuroepidemiology       Date:  2009-11-05       Impact factor: 3.282

8.  Development of the PROMIS ® pediatric global health (PGH-7) measure.

Authors:  Christopher B Forrest; Katherine B Bevans; Ramya Pratiwadi; JeanHee Moon; Rachel E Teneralli; Jo M Minton; Carole A Tucker
Journal:  Qual Life Res       Date:  2013-11-22       Impact factor: 4.147

9.  Does adding MS-specific items to a generic measure (the SF-36) improve measurement?

Authors:  J A Freeman; J C Hobart; A J Thompson
Journal:  Neurology       Date:  2001-07-10       Impact factor: 9.910

10.  Defining an International Standard Set of Outcome Measures for Patients With Hip or Knee Osteoarthritis: Consensus of the International Consortium for Health Outcomes Measurement Hip and Knee Osteoarthritis Working Group.

Authors:  Ola Rolfson; Stephanie Wissig; Lisa van Maasakkers; Caleb Stowell; Ilana Ackerman; David Ayers; Thomas Barber; Thami Benzakour; Kevin Bozic; Nicolaas Budhiparama; James Caillouette; Philip G Conaghan; Leif Dahlberg; Jennifer Dunn; John Grady-Benson; Said A Ibrahim; Sally Lewis; Henrik Malchau; Mojieb Manzary; Lyn March; Nader Nassif; Rob Nelissen; Noel Smith; Patricia D Franklin
Journal:  Arthritis Care Res (Hoboken)       Date:  2016-11       Impact factor: 4.794

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  6 in total

1.  Development and Initial Validation of the PROMIS®-Plus-HF Profile Measure.

Authors:  Faraz S Ahmad; Michael A Kallen; Karen E Schifferdecker; Kathleen L Carluzzo; Susan E Yount; Jill M Gelow; Peter A McCullough; Stephen E Kimmel; Elliot S Fisher; David Cella
Journal:  Circ Heart Fail       Date:  2019-06-05       Impact factor: 8.790

Review 2.  Are OMERACT recommendations followed in clinical trials on fibromyalgia? A systematic review of patient-reported outcomes and their measures.

Authors:  Annika Döhmen; Milan Kock; Alexander Obbarius; Christoph Paul Klapproth; Felix Fischer; Matthias Rose
Journal:  Qual Life Res       Date:  2022-10-01       Impact factor: 3.440

Review 3.  Selecting patient-reported outcome measures of health-related quality of life in adult rheumatology: quality and breadth of coverage.

Authors:  Erin Knight; Karen E Schifferdecker; Guy S Eakin; Bryce B Reeve
Journal:  Rheumatol Int       Date:  2022-09-20       Impact factor: 3.580

Review 4.  Patient-reported outcome measures to evaluate postoperative quality of life in patients undergoing elective abdominal surgery: a systematic review.

Authors:  Margot E Lodge; Chris Moran; Adam D J Sutton; Hui-Ching Lee; Jugdeep K Dhesi; Nadine E Andrew; Darshini R Ayton; David J Hunter-Smith; Velandai K Srikanth; David A Snowdon
Journal:  Qual Life Res       Date:  2022-01-22       Impact factor: 4.147

5.  Psychometric properties of the Polish version of the 36-item WHODAS 2.0 in patients with hip and knee osteoarthritis.

Authors:  Agnieszka Bejer; Agnieszka Ćwirlej-Sozańska; Agnieszka Wiśniowska-Szurlej; Anna Wilmowska-Pietruszyńska; Renata Spalek; Alessandro de Sire; Bernard Sozański
Journal:  Qual Life Res       Date:  2021-03-15       Impact factor: 4.147

6.  Responsiveness of the Traumatic Brain Injury Quality of Life Cognition Banks in Recent Brain Injury.

Authors:  Callie E Tyner; Pamela A Kisala; Aaron J Boulton; Mark Sherer; Nancy D Chiaravalloti; Angelle M Sander; Tamara Bushnik; David S Tulsky
Journal:  Front Hum Neurosci       Date:  2022-03-04       Impact factor: 3.169

  6 in total

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