Literature DB >> 26939927

PROMIS Fatigue Item Bank had Clinical Validity across Diverse Chronic Conditions.

David Cella1, Jin-Shei Lai2, Sally E Jensen2, Christopher Christodoulou3, Doerte U Junghaenel4, Bryce B Reeve5, Arthur A Stone4.   

Abstract

OBJECTIVE: To evaluate the comparability and responsiveness of Patient-Reported Outcomes Measurement Information System (PROMIS) fatigue item bank across six chronic conditions. STUDY DESIGN AND
SETTING: Individuals (n = 1,430) with chronic obstructive pulmonary disease (n = 125), chronic heart failure (n = 60), chronic back pain (n = 218), major depressive disorder (n = 196), rheumatoid arthritis (n = 521), and cancer (n = 310) completed assessments from the PROMIS fatigue item bank at baseline and a clinically relevant follow-up. The cancer and arthritis samples were followed in observational studies; the other four groups were enrolled immediately before a planned clinical intervention. All participants completed global ratings of change at follow-up. Linear mixed-effects models and standardized response means were estimated to examine clinical validity and responsiveness to change.
RESULTS: All patient groups reported more fatigue than the general population (range = 0.2-1.29 standard deviation worse). The four clinical groups with pretreatment baseline data experienced significant improvement in fatigue at follow-up (effect size range = 0.25-0.91). Individuals reporting better overall health usually experienced larger fatigue changes than those reporting worse overall health.
CONCLUSION: The results support the PROMIS fatigue measures's responsiveness to change in six different chronic conditions. In addition, these results support the ability of the PROMIS fatigue measures to compare differences in fatigue across a range of chronic conditions, thereby enabling comparative effectiveness research.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chronic conditions; Fatigue; Item bank; PROMIS; Patient-reported outcomes; Responsiveness

Mesh:

Year:  2016        PMID: 26939927      PMCID: PMC4902759          DOI: 10.1016/j.jclinepi.2015.08.037

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  25 in total

1.  NCCN Clinical Practice Guidelines Cancer-related fatigue.

Authors:  Ann M Berger; Amy Pickar Abernethy; Ashley Atkinson; Andrea M Barsevick; William S Breitbart; David Cella; Bernadine Cimprich; Charles Cleeland; Mario A Eisenberger; Carmen P Escalante; Paul B Jacobsen; Phyllis Kaldor; Jennifer A Ligibel; Barbara A Murphy; Tracey O'Connor; William F Pirl; Eve Rodler; Hope S Rugo; Jay Thomas; Lynne I Wagner
Journal:  J Natl Compr Canc Netw       Date:  2010-08       Impact factor: 11.908

2.  Cancer-related fatigue: definitions and clinical subtypes.

Authors:  Barbara F Piper; David Cella
Journal:  J Natl Compr Canc Netw       Date:  2010-08       Impact factor: 11.908

Review 3.  Statistical analysis of quality of life with missing data in cancer clinical trials.

Authors:  A B Troxel; D L Fairclough; D Curran; E A Hahn
Journal:  Stat Med       Date:  1998 Mar 15-Apr 15       Impact factor: 2.373

4.  The revised Piper Fatigue Scale: psychometric evaluation in women with breast cancer.

Authors:  B F Piper; S L Dibble; M J Dodd; M C Weiss; R E Slaughter; S M Paul
Journal:  Oncol Nurs Forum       Date:  1998-05       Impact factor: 2.172

5.  Measuring fatigue and other anemia-related symptoms with the Functional Assessment of Cancer Therapy (FACT) measurement system.

Authors:  S B Yellen; D F Cella; K Webster; C Blendowski; E Kaplan
Journal:  J Pain Symptom Manage       Date:  1997-02       Impact factor: 3.612

6.  Gender differences in depression: findings from the STAR*D study.

Authors:  Sheila M Marcus; Elizabeth A Young; Kevin B Kerber; Susan Kornstein; Amy H Farabaugh; Jeff Mitchell; Stephen R Wisniewski; G K Balasubramani; Madhukar H Trivedi; A John Rush
Journal:  J Affect Disord       Date:  2005-08       Impact factor: 4.839

7.  Prevalence of fatigue and associated factors in chronic low back pain patients.

Authors:  Marina de Góes Salvetti; Cibele Andrucioli de Mattos Pimenta; Patrícia Emília Braga; Michael McGillion
Journal:  Rev Lat Am Enfermagem       Date:  2013 Jan-Feb

8.  PROMIS measures of pain, fatigue, negative affect, physical function, and social function demonstrated clinical validity across a range of chronic conditions.

Authors:  Karon F Cook; Sally E Jensen; Benjamin D Schalet; Jennifer L Beaumont; Dagmar Amtmann; Susan Czajkowski; Darren A Dewalt; James F Fries; Paul A Pilkonis; Bryce B Reeve; Arthur A Stone; Kevin P Weinfurt; David Cella
Journal:  J Clin Epidemiol       Date:  2016-03-04       Impact factor: 6.437

9.  A multidimensional measure of fatigue for use with cancer patients.

Authors:  K D Stein; S C Martin; D M Hann; P B Jacobsen
Journal:  Cancer Pract       Date:  1998 May-Jun

10.  Responsiveness and minimal important differences for patient reported outcomes.

Authors:  Dennis A Revicki; David Cella; Ron D Hays; Jeff A Sloan; William R Lenderking; Neil K Aaronson
Journal:  Health Qual Life Outcomes       Date:  2006-09-27       Impact factor: 3.186

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  52 in total

1.  PROMIS and legacy measures compared in a supportive care intervention for breast cancer patients and caregivers: Experience from a randomized trial.

Authors:  Alla Sikorskii; David Victorson; Patrick O'Connor; Vered Hankin; Abolfazl Safikhani; Tracy Crane; Terry Badger; Gwen Wyatt
Journal:  Psychooncology       Date:  2018-07-17       Impact factor: 3.894

2.  Combining online and in-person methods to evaluate the content validity of PROMIS fatigue short forms in rheumatoid arthritis.

Authors:  S J Bartlett; A K Gutierrez; A Butanis; V P Bykerk; J R Curtis; S Ginsberg; A L Leong; A Lyddiatt; W B Nowell; A M Orbai; K C Smith; C O Bingham
Journal:  Qual Life Res       Date:  2018-05-24       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.  Real-Time Associations Between Glucose Levels and Fatigue in Type 2 Diabetes: Sex and Time Effects.

Authors:  Cynthia Fritschi; Chang Park; Laurie Quinn; Eileen G Collins
Journal:  Biol Res Nurs       Date:  2020-02-03       Impact factor: 2.522

5.  A Feasibility Study to Develop and Test a Cognitive Behavioral Stress Management Mobile Health Application for HIV-Related Fatigue.

Authors:  Julie Barroso; Mohan Madisetti; Martina Mueller
Journal:  J Pain Symptom Manage       Date:  2019-09-17       Impact factor: 3.612

6.  Fatigue among patients with renal cell carcinoma receiving adjuvant sunitinib or sorafenib: patient-reported outcomes of ECOG-ACRIN E2805 trial.

Authors:  Fengmin Zhao; David Cella; Judith Manola; Robert S DiPaola; Lynne I Wagner; Naomi S B Haas
Journal:  Support Care Cancer       Date:  2017-12-23       Impact factor: 3.603

7.  Measurement invariance and general population reference values of the PROMIS Profile 29 in the UK, France, and Germany.

Authors:  Felix Fischer; Chris Gibbons; Joël Coste; Jose M Valderas; Matthias Rose; Alain Leplège
Journal:  Qual Life Res       Date:  2018-01-19       Impact factor: 4.147

8.  The PROMIS fatigue item bank has good measurement properties in patients with fibromyalgia and severe fatigue.

Authors:  Kathleen J Yost; Niels G Waller; Minji K Lee; Ann Vincent
Journal:  Qual Life Res       Date:  2017-01-30       Impact factor: 4.147

9.  A SMART design to determine the optimal treatment of chronic pain among military personnel.

Authors:  Diane Flynn; Linda H Eaton; Dale J Langford; Nicholas Ieronimakis; Honor McQuinn; Richard O Burney; Samuel L Holmes; Ardith Z Doorenbos
Journal:  Contemp Clin Trials       Date:  2018-08-24       Impact factor: 2.226

10.  Older Adults Can Successfully Monitor Symptoms Using an Inclusively Designed Mobile Application.

Authors:  Meghan Reading Turchioe; Lisa V Grossman; Dawon Baik; Christopher S Lee; Mathew S Maurer; Parag Goyal; Monika M Safford; Ruth M Masterson Creber
Journal:  J Am Geriatr Soc       Date:  2020-03-10       Impact factor: 5.562

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