Literature DB >> 26821919

The PROMIS FatigueFM Profile: a self-report measure of fatigue for use in fibromyalgia.

Anna L Kratz1, Stephen Schilling2, Jenna Goesling3, David A Williams4.   

Abstract

PURPOSE: Fibromyalgia (FM) is characterized by myriad symptoms and problems. Fatigue is one of the most common, distressing, and disabling symptoms in FM. The purpose of this study was to use fatigue item banks that were developed as part of the Patient-Reported Outcomes Measurement Information System (PROMIS) to devise a self-report measure of fatigue for use in individuals with FM.
METHODS: A sample of 532 adults with FM (age range = 18-77, 96.1 % female) completed the PROMIS fatigue item bank. Factor analyses and item response theory analyses were used to identify dimensionality and optimally performing items. These data were used in combination with clinical input to select items for a fatigue self-report measure for use in FM.
RESULTS: Factor analyses revealed four distinct factors in the PROMIS fatigue item bank; items for each univariate subscale were identified by selecting four items with high item information values. A 16-item measure, the PROMIS FatigueFM Profile, consisting of four 4-item short forms reflecting fatigue experience ("intensity") and fatigue impact in three subdomains-social, cognitive, and motivation-was created. The new PROMIS FatigueFM Profile short forms showed excellent internal reliability, low ceiling and floor effects, and equivalent or higher test information compared to the standard 4- and 7-item PROMIS fatigue short forms.
CONCLUSIONS: The newly developed PROMIS FatigueFM Profile, a 16-item measure consisting of four 4-item short forms of self-reported fatigue severity, shows early evidence of good psychometric characteristics, provides the ability to use short forms that assess distinct aspects of fatigue experience and fatigue impact, and demonstrates equivalent or higher levels of test information compared to standard PROMIS fatigue short forms with similar number of items. The PROMIS FatigueFM Profile indicated fatigue experience and impact levels approximately 1.5 standard deviations above the normative sample mean across all short forms. Future work to evaluate the validity and reliability of this new measure in individuals with FM is needed.

Entities:  

Keywords:  Fatigue; Fibromyalgia; PROMIS; Self-report measure; Short form

Mesh:

Year:  2016        PMID: 26821919      PMCID: PMC4893882          DOI: 10.1007/s11136-016-1230-9

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


  14 in total

1.  Development of responder definitions for fibromyalgia clinical trials.

Authors:  Lesley M Arnold; David A Williams; James I Hudson; Susan A Martin; Daniel J Clauw; Leslie J Crofford; Fujun Wang; Birol Emir; Chinglin Lai; Rong Zablocki; Philip J Mease
Journal:  Arthritis Rheum       Date:  2012-03

2.  How item banks and their application can influence measurement practice in rehabilitation medicine: a PROMIS fatigue item bank example.

Authors:  Jin-Shei Lai; David Cella; Seung Choi; Doerte U Junghaenel; Christopher Christodoulou; Richard Gershon; Arthur Stone
Journal:  Arch Phys Med Rehabil       Date:  2011-10       Impact factor: 3.966

3.  The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008.

Authors:  David Cella; William Riley; Arthur Stone; Nan Rothrock; Bryce Reeve; Susan Yount; Dagmar Amtmann; Rita Bode; Daniel Buysse; Seung Choi; Karon Cook; Robert Devellis; Darren DeWalt; James F Fries; Richard Gershon; Elizabeth A Hahn; Jin-Shei Lai; Paul Pilkonis; Dennis Revicki; Matthias Rose; Kevin Weinfurt; Ron Hays
Journal:  J Clin Epidemiol       Date:  2010-08-04       Impact factor: 6.437

Review 4.  Content validity of patient-reported outcome measures: perspectives from a PROMIS meeting.

Authors:  Susan Magasi; Gery Ryan; Dennis Revicki; William Lenderking; Ron D Hays; Meryl Brod; Claire Snyder; Maarten Boers; David Cella
Journal:  Qual Life Res       Date:  2011-08-25       Impact factor: 4.147

5.  Fatigue in fibromyalgia: a conceptual model informed by patient interviews.

Authors:  Louise Humphrey; Rob Arbuckle; Philip Mease; David A Williams; Bente Danneskiold Samsoe; Claire Gilbert
Journal:  BMC Musculoskelet Disord       Date:  2010-09-20       Impact factor: 2.362

6.  Identifying the clinical domains of fibromyalgia: contributions from clinician and patient Delphi exercises.

Authors:  Phillip J Mease; Lesley M Arnold; Leslie J Crofford; David A Williams; I Jon Russell; Louise Humphrey; Linda Abetz; Susan A Martin
Journal:  Arthritis Rheum       Date:  2008-07-15

7.  The prevalence and characteristics of fibromyalgia in the general population.

Authors:  F Wolfe; K Ross; J Anderson; I J Russell; L Hebert
Journal:  Arthritis Rheum       Date:  1995-01

8.  Evaluating the dimensionality of perceived cognitive function.

Authors:  Jin-Shei Lai; Zeeshan Butt; Lynne Wagner; Jerry J Sweet; Jennifer L Beaumont; Janette Vardy; Paul B Jacobsen; Pamela J Shapiro; Sheri R Jacobs; David Cella
Journal:  J Pain Symptom Manage       Date:  2009-06       Impact factor: 3.612

9.  The Multidimensional Fatigue Inventory (MFI) psychometric qualities of an instrument to assess fatigue.

Authors:  E M Smets; B Garssen; B Bonke; J C De Haes
Journal:  J Psychosom Res       Date:  1995-04       Impact factor: 3.006

10.  An internet survey of 2,596 people with fibromyalgia.

Authors:  Robert M Bennett; Jessie Jones; Dennis C Turk; I Jon Russell; Lynne Matallana
Journal:  BMC Musculoskelet Disord       Date:  2007-03-09       Impact factor: 2.362

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  11 in total

1.  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

2.  Fibrofog in Daily Life: An Examination of Ambulatory Subjective and Objective Cognitive Function in Fibromyalgia.

Authors:  Anna L Kratz; Daniel Whibley; Samsuk Kim; Martin Sliwinski; Daniel Clauw; David A Williams
Journal:  Arthritis Care Res (Hoboken)       Date:  2020-11-09       Impact factor: 4.794

3.  Multi-Site Observational Study to Assess Biomarkers for Susceptibility or Resilience to Chronic Pain: The Acute to Chronic Pain Signatures (A2CPS) Study Protocol.

Authors:  Giovanni Berardi; Laura Frey-Law; Kathleen A Sluka; Emine O Bayman; Christopher S Coffey; Dixie Ecklund; Carol G T Vance; Dana L Dailey; John Burns; Asokumar Buvanendran; Robert J McCarthy; Joshua Jacobs; Xiaohong Joe Zhou; Richard Wixson; Tessa Balach; Chad M Brummett; Daniel Clauw; Douglas Colquhoun; Steven E Harte; Richard E Harris; David A Williams; Andrew C Chang; Jennifer Waljee; Kathleen M Fisch; Kristen Jepsen; Louise C Laurent; Michael Olivier; Carl D Langefeld; Timothy D Howard; Oliver Fiehn; Jon M Jacobs; Panshak Dakup; Wei-Jun Qian; Adam C Swensen; Anna Lokshin; Martin Lindquist; Brian S Caffo; Ciprian Crainiceanu; Scott Zeger; Ari Kahn; Tor Wager; Margaret Taub; James Ford; Stephani P Sutherland; Laura D Wandner
Journal:  Front Med (Lausanne)       Date:  2022-04-25

4.  Fatigue in the general population: German normative values of the EORTC QLQ-FA12.

Authors:  Andreas Hinz; Joachim Weis; Elmar Brähler; Anja Mehnert
Journal:  Qual Life Res       Date:  2018-06-16       Impact factor: 4.147

5.  Phenotypic Features of Central Sensitization.

Authors:  David A Williams
Journal:  J Appl Biobehav Res       Date:  2018-06-27

6.  Validation of the Pittsburgh Fatigability Scale in a mixed sample of adults with and without chronic conditions.

Authors:  Noelle E Carlozzi; Nicholas R Boileau; Susan L Murphy; Tiffany J Braley; Anna L Kratz
Journal:  J Health Psychol       Date:  2019-09-18

7.  Sensitivity of alternative measures of functioning and wellbeing for adults with sickle cell disease: comparison of PROMIS® to ASCQ-Me℠.

Authors:  San Keller; Manshu Yang; Marsha J Treadwell; Kathryn L Hassell
Journal:  Health Qual Life Outcomes       Date:  2017-06-02       Impact factor: 3.186

8.  Fatigue Profiles in Patients with Multiple Sclerosis are Based on Severity of Fatigue and not on Dimensions of Fatigue.

Authors:  Heleen Beckerman; Isaline Cjm Eijssen; Jetty van Meeteren; Marion C Verhulsdonck; Vincent de Groot
Journal:  Sci Rep       Date:  2020-03-05       Impact factor: 4.379

9.  An App-Based Just-in-Time Adaptive Self-management Intervention for Care Partners (CareQOL): Protocol for a Pilot Trial.

Authors:  Noelle E Carlozzi; Sung Won Choi; Zhenke Wu; Jennifer A Miner; Angela K Lyden; Christopher Graves; Jitao Wang; Srijan Sen
Journal:  JMIR Res Protoc       Date:  2021-12-09

Review 10.  Dissecting the fatigue experience: A scoping review of fatigue definitions, dimensions, and measures in non-oncologic medical conditions.

Authors:  Ruel Billones; Josephine K Liwang; Kierra Butler; Letitia Graves; Leorey N Saligan
Journal:  Brain Behav Immun Health       Date:  2021-05-21
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