Literature DB >> 26038213

Reliability and construct validity of PROMIS® measures for patients with heart failure who undergo heart transplant.

Kathryn E Flynn1, Mary Amanda Dew2,3,4, Li Lin5, Maria Fawzy5, Felicia L Graham5, Elizabeth A Hahn6, Ron D Hays7, Robert L Kormos8, Honghu Liu7, Mary McNulty2, Kevin P Weinfurt9,10.   

Abstract

PURPOSE: To evaluate the reliability and construct validity of measures from the Patient-Reported Outcomes Measurement Information System(®) (PROMIS(®)) for patients with heart failure before and after heart transplantation.
METHODS: We assessed reliability of the PROMIS short forms using Cronbach's alpha and the average marginal reliability. To assess the construct validity of PROMIS computerized adaptive tests and short-form measures, we calculated Pearson product moment correlations between PROMIS measures of physical function, fatigue, depression, and social function and existing PRO measures of similar domains (i.e., convergent validity) as well as different domains (i.e., discriminate validity) in patients with heart failure awaiting heart transplant. We evaluated the responsiveness of these measures to change after heart transplant using effect sizes.
RESULTS: Forty-eight patients were included in the analyses. Across the many domains examined, correlations between conceptually similar domains were larger than correlations between different domains of health, demonstrating construct validity. Health status improved substantially after heart transplant (standardized effect sizes, 0.63-1.24), demonstrating the responsiveness of the PROMIS measures. Scores from the computerized adaptive tests and the short forms were similar.
CONCLUSIONS: This study provides evidence for the reliability and construct validity (including responsiveness to change) of four PROMIS domains in patients with heart failure before and after heart transplant. PROMIS measures are a reasonable choice in this context and will facilitate comparisons across studies and health conditions.

Entities:  

Keywords:  Congestive heart failure; Outcomes research; Patient-reported outcomes

Mesh:

Year:  2015        PMID: 26038213      PMCID: PMC4593724          DOI: 10.1007/s11136-015-1010-y

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


  24 in total

1.  ATS statement: guidelines for the six-minute walk test.

Authors: 
Journal:  Am J Respir Crit Care Med       Date:  2002-07-01       Impact factor: 21.405

2.  Convergent and discriminant validation by the multitrait-multimethod matrix.

Authors:  D T CAMPBELL; D W FISKE
Journal:  Psychol Bull       Date:  1959-03       Impact factor: 17.737

Review 3.  Physical functional outcomes after cardiothoracic transplantation.

Authors:  Kathleen L Grady; Dorothy M Lanuza
Journal:  J Cardiovasc Nurs       Date:  2005 Sep-Oct       Impact factor: 2.083

4.  Quality of life in patients with advanced heart failure.

Authors:  K Dracup; J A Walden; L W Stevenson; M L Brecht
Journal:  J Heart Lung Transplant       Date:  1992 Mar-Apr       Impact factor: 10.247

5.  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

6.  Development and evaluation of the Kansas City Cardiomyopathy Questionnaire: a new health status measure for heart failure.

Authors:  C P Green; C B Porter; D R Bresnahan; J A Spertus
Journal:  J Am Coll Cardiol       Date:  2000-04       Impact factor: 24.094

7.  Quality of life of candidates for and recipients of heart transplants.

Authors:  A E Molzahn; J R Burton; P McCormick; D L Modry; P Soetaert; P Taylor
Journal:  Can J Cardiol       Date:  1997-02       Impact factor: 5.223

8.  Assessment of patient outcome with the Minnesota Living with Heart Failure questionnaire: reliability and validity during a randomized, double-blind, placebo-controlled trial of pimobendan. Pimobendan Multicenter Research Group.

Authors:  T S Rector; J N Cohn
Journal:  Am Heart J       Date:  1992-10       Impact factor: 4.749

9.  The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups.

Authors:  C A McHorney; J E Ware; J F Lu; C D Sherbourne
Journal:  Med Care       Date:  1994-01       Impact factor: 2.983

10.  The Patient Health Questionnaire-2: validity of a two-item depression screener.

Authors:  Kurt Kroenke; Robert L Spitzer; Janet B W Williams
Journal:  Med Care       Date:  2003-11       Impact factor: 2.983

View more
  22 in total

1.  Validation of Patient-Reported Outcomes Measurement Information System (PROMIS) computerized adaptive tests in cervical spine surgery.

Authors:  Barrett S Boody; Surabhi Bhatt; Aditya S Mazmudar; Wellington K Hsu; Nan E Rothrock; Alpesh A Patel
Journal:  J Neurosurg Spine       Date:  2018-01-05

2.  Leveraging Patient-Reported Outcomes Using Data Visualization.

Authors:  Lisa V Grossman; Steven K Feiner; Elliot G Mitchell; Ruth M Masterson Creber
Journal:  Appl Clin Inform       Date:  2018-08-01       Impact factor: 2.342

3.  Brief Report: Patient Activation Among Urban Hospitalized Patients With Heart Failure.

Authors:  Ruth Masterson Creber; Ting Chen; Chao Wei; Christopher S Lee
Journal:  J Card Fail       Date:  2017-08-23       Impact factor: 5.712

4.  What questionnaires to use when measuring quality of life in sacral tumor patients: the updated sacral tumor survey.

Authors:  Olivier D R van Wulfften Palthe; Stein J Janssen; Jay S Wunder; Peter C Ferguson; Guo Wei; Peter S Rose; Micheal J Yaszemski; Franklin H Sim; Patrick J Boland; John H Healey; Francis J Hornicek; Joseph H Schwab
Journal:  Spine J       Date:  2016-11-14       Impact factor: 4.166

5.  A comparison of computer adaptive tests (CATs) and short forms in terms of accuracy and number of items administrated using PROMIS profile.

Authors:  Eisuke Segawa; Benjamin Schalet; David Cella
Journal:  Qual Life Res       Date:  2019-10-08       Impact factor: 4.147

6.  Use of the PROMIS® Depression scale and the Beck Depression Inventory in patients with heart failure.

Authors:  Kenneth E Freedland; Brian C Steinmeyer; Robert M Carney; Eugene H Rubin; Michael W Rich
Journal:  Health Psychol       Date:  2019-05       Impact factor: 4.267

7.  Visual analogies, not graphs, increase patients' comprehension of changes in their health status.

Authors:  Meghan Reading Turchioe; Lisa V Grossman; Annie C Myers; Dawon Baik; Parag Goyal; Ruth M Masterson Creber
Journal:  J Am Med Inform Assoc       Date:  2020-05-01       Impact factor: 4.497

8.  Responsiveness of 8 Patient-Reported Outcomes Measurement Information System (PROMIS) measures in a large, community-based cancer study cohort.

Authors:  Roxanne E Jensen; Carol M Moinpour; Arnold L Potosky; Tania Lobo; Elizabeth A Hahn; Ron D Hays; David Cella; Ashley Wilder Smith; Xiao-Cheng Wu; Theresa H M Keegan; Lisa E Paddock; Antoinette M Stroup; David T Eton
Journal:  Cancer       Date:  2016-10-03       Impact factor: 6.860

9.  Validity and Responsiveness of a 10-Item Patient-Reported Measure of Physical Function in a Rheumatoid Arthritis Clinic Population.

Authors:  Elizabeth Wahl; Andrew Gross; Vladimir Chernitskiy; Laura Trupin; Lianne Gensler; Krishna Chaganti; Kaleb Michaud; Patricia Katz; Jinoos Yazdany
Journal:  Arthritis Care Res (Hoboken)       Date:  2017-03       Impact factor: 4.794

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.