Literature DB >> 25990189

Establishing a Common Metric for Physical Function: Linking the HAQ-DI and SF-36 PF Subscale to PROMIS(®) Physical Function.

Benjamin D Schalet1, Dennis A Revicki2, Karon F Cook3, Eswar Krishnan4, Jim F Fries4, David Cella3.   

Abstract

BACKGROUND: Physical function (PF) is a common health concept measured in clinical trials and clinical care. It is measured with different instruments that are not directly comparable, making comparative effectiveness research (CER) challenging when PF is the outcome of interest.
OBJECTIVE: Our goal was to establish a common reporting metric, so that scores on commonly used physical function measures can be converted into PROMIS scores.
DESIGN: Following a single-sample linking design, all participants completed items from the NIH Patient Reported Outcomes Measurement Information System (PROMIS®) Physical Function (PROMIS PF) item bank and at least one other commonly used "legacy" measure: the Health Assessment Questionnaire (HAQ) or the Short Form-36 physical function ten-item PF scale (SF-36 PF). A common metric was created using analyses based on item response theory (IRT), producing score cross-walk tables. PARTICIPANTS: Participants (N = 733) were part of an internet panel, many of whom reported one or more chronic health conditions. MAIN MEASURES: PROMIS PF, SF-36 PF, and the HAQ-Disability Index (HAQ-DI).
RESULTS: Our results supported the hypothesis that all three scales measure essentially the same concept. Cross-walk tables for use in CER are therefore justified.
CONCLUSIONS: HAQ-DI and SF-36 PF results can be expressed on the PROMIS PF metric for the purposes of CER and other efforts to compare PF results across studies that utilize any one of these three measures. Clinicians seeking to incorporate PROs into their clinics can collect patient data on any one of these three instruments and estimate the equivalent on the other two.

Entities:  

Keywords:  HAQ-DI; PRO; PROMIS; SF-36; patient-reported outcome; physical function; score linking

Mesh:

Year:  2015        PMID: 25990189      PMCID: PMC4579209          DOI: 10.1007/s11606-015-3360-0

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  32 in total

1.  The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection.

Authors:  J E Ware; C D Sherbourne
Journal:  Med Care       Date:  1992-06       Impact factor: 2.983

2.  Equating the MOS SF36 and the LSU HSI Physical Functioning Scales.

Authors:  W P Fisher; R L Eubanks; R L Marier
Journal:  J Outcome Meas       Date:  1997

3.  Equating EORTC QLQ-C30 and FACT-G scores and its use in oncological research.

Authors:  B Holzner; R K Bode; E A Hahn; D Cella; M Kopp; B Sperner-Unterweger; G Kemmler
Journal:  Eur J Cancer       Date:  2006-10-11       Impact factor: 9.162

4.  Bringing PROMIS to practice: brief and precise symptom screening in ambulatory cancer care.

Authors:  Lynne I Wagner; Julian Schink; Michael Bass; Shalini Patel; Maria Varela Diaz; Nan Rothrock; Timothy Pearman; Richard Gershon; Frank J Penedo; Steven Rosen; David Cella
Journal:  Cancer       Date:  2014-11-06       Impact factor: 6.860

5.  Normative values for the Health Assessment Questionnaire disability index: benchmarking disability in the general population.

Authors:  Eswar Krishnan; Tuulikki Sokka; Arja Häkkinen; Helen Hubert; Pekka Hannonen
Journal:  Arthritis Rheum       Date:  2004-03

6.  Linking fatigue measures on a common reporting metric.

Authors:  Jin-Shei Lai; David Cella; Betina Yanez; Arthur Stone
Journal:  J Pain Symptom Manage       Date:  2014-03-31       Impact factor: 3.612

7.  The Stanford Health Assessment Questionnaire: a review of its history, issues, progress, and documentation.

Authors:  Bonnie Bruce; James F Fries
Journal:  J Rheumatol       Date:  2003-01       Impact factor: 4.666

8.  Concept analysis of the patient reported outcomes measurement information system (PROMIS(®)) and the international classification of functioning, disability and health (ICF).

Authors:  Carole A Tucker; Alarcos Cieza; Anne W Riley; Gerold Stucki; Jin Shei Lai; T Bedirhan Ustun; Nenad Kostanjsek; William Riley; David Cella; Christopher B Forrest
Journal:  Qual Life Res       Date:  2014-02-06       Impact factor: 3.440

9.  Percentile benchmarks in patients with rheumatoid arthritis: Health Assessment Questionnaire as a quality indicator (QI).

Authors:  Eswar Krishnan; Peter Tugwell; James F Fries
Journal:  Arthritis Res Ther       Date:  2004-09-14       Impact factor: 5.156

10.  Measurement of patient outcome in arthritis.

Authors:  J F Fries; P Spitz; R G Kraines; H R Holman
Journal:  Arthritis Rheum       Date:  1980-02
View more
  28 in total

1.  Patient-Reported Outcomes as a Measure of Healthcare Quality.

Authors:  Dominick L Frosch
Journal:  J Gen Intern Med       Date:  2015-10       Impact factor: 5.128

2.  Prediction of Oswestry Disability Index (ODI) using PROMIS-29 in a national sample of lumbar spine surgery patients.

Authors:  Jacquelyn S Pennings; Clinton J Devin; Inamullah Khan; Mohamad Bydon; Anthony L Asher; Kristin R Archer
Journal:  Qual Life Res       Date:  2019-06-06       Impact factor: 4.147

3.  Does recall period matter? Comparing PROMIS® physical function with no recall, 24-hr recall, and 7-day recall.

Authors:  David M Condon; Robert Chapman; Sara Shaunfield; Michael A Kallen; Jennifer L Beaumont; Daniel Eek; Debanjali Mitra; Katy L Benjamin; Kelly McQuarrie; Jamae Liu; James W Shaw; Allison Martin Nguyen; Karen Keating; David Cella
Journal:  Qual Life Res       Date:  2019-11-07       Impact factor: 4.147

4.  Psychometric evaluation of the pediatric and parent-proxy Patient-Reported Outcomes Measurement Information System and the Neurology and Traumatic Brain Injury Quality of Life measurement item banks in pediatric traumatic brain injury.

Authors:  Hilary Bertisch; Frederick P Rivara; Pamela A Kisala; Jin Wang; Keith Owen Yeates; Dennis Durbin; Mark R Zonfrillo; Michael J Bell; Nancy Temkin; David S Tulsky
Journal:  Qual Life Res       Date:  2017-03-07       Impact factor: 4.147

5.  Physical function metric over measure: An illustration with the Patient-Reported Outcomes Measurement Information System (PROMIS) and the Functional Assessment of Cancer Therapy (FACT).

Authors:  Aaron J Kaat; Benjamin D Schalet; Joshua Rutsohn; Roxanne E Jensen; David Cella
Journal:  Cancer       Date:  2017-09-08       Impact factor: 6.860

Review 6.  What is the future of patient-reported outcomes in sickle-cell disease?

Authors:  Sharon A Singh; Nitya Bakshi; Prashant Mahajan; Claudia R Morris
Journal:  Expert Rev Hematol       Date:  2020-10-15       Impact factor: 2.929

7.  The Relationship Among 3 Generic Patient-Reported Outcome Instruments in Patients With Lower Extremity Health Conditions.

Authors:  Johanna M Hoch; Christina Lorete; Jamie Legner; Matthew C Hoch
Journal:  J Athl Train       Date:  2019-05-14       Impact factor: 2.860

8.  The sensitivity of the MOS SF-12 and PROMIS® global summary scores to adverse health events in an older cohort.

Authors:  Joanne Allen; Fiona M Alpass; Christine V Stephens
Journal:  Qual Life Res       Date:  2018-05-03       Impact factor: 4.147

9.  The use of PROMIS patient-reported outcomes (PROs) to inform light chain (AL) amyloid disease severity at diagnosis.

Authors:  Anita D'Souza; Brooke E Magnus; Judith Myers; Angela Dispenzieri; Kathryn E Flynn
Journal:  Amyloid       Date:  2020-01-23       Impact factor: 7.141

10.  Performance of a Patient Reported Outcomes Measurement Information System (PROMIS) Short Form in Older Adults with Chronic Musculoskeletal Pain.

Authors:  Richard A Deyo; David I Buckley; LeAnn Michaels; Amy Kobus; Elizabeth Eckstrom; Vanessa Forro; Cynthia Morris
Journal:  Pain Med       Date:  2016-02       Impact factor: 3.750

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.