Nikolas H Kazmers1, Man Hung2, Ajinkya A Rane3, Jerry Bounsanga3, Cindy Weng4, Andrew R Tyser3. 1. Department of Orthopaedics, University of Utah, Salt Lake City, UT. Electronic address: nkazmers@gmail.com. 2. Department of Orthopaedics, University of Utah, Salt Lake City, UT; Division of Public Health, University of Utah, Salt Lake City, UT. 3. Department of Orthopaedics, University of Utah, Salt Lake City, UT. 4. Department of Pediatric Research Enterprise, University of Utah, Salt Lake City, UT.
Abstract
PURPOSE: The relationship between psychosocial factors and self-reported physical function among hand and upper extremity patients is complex. The Patient-Reported Outcomes Measurement Information System (PROMIS) platform has attempted to create a variety of specifically targeted metrics that can be administered using computer adaptive testing (CAT). Three metrics measuring self-reported physical function (herein referred to in combination as "functional" metrics) include the PROMIS Physical Function (PF) CAT, PROMIS Upper Extremity (UE) CAT, and the Quick Disabilities of the Arm, Shoulder, and Hand (QuickDASH). Two metrics assessing psychosocial factors include the PROMIS Anxiety and Pain Interference (PI) CATs ("nonfunctional" metrics). This study evaluates whether the functional metrics were correlated with nonfunctional metrics. METHODS: The 5 questionnaires were administered prospectively on a tablet computer to all consecutive adult patients presenting to an outpatient hand and upper extremity (nonshoulder) clinic at a tertiary academic medical center from January 1 to November 1, 2014. For patients with multiple visits during the study period, only the first was included. Data were evaluated retrospectively to assess the relationship between functional and nonfunctional measures, with Pearson correlation coefficients to understand the relationship between continuous variables, and 1-way analysis of variance to examine for differences in outcome measures across demographic groups. Multivariable linear regression analyses were performed to determine factors predicting functional disability. RESULTS: We included 1,299 patients: mean age was 46.8 years, 53% were female, and 23% were unemployed or on disability. The PROMIS PF CAT, PROMIS UE CAT, and QuickDASH scores were all significantly correlated with PROMIS Anxiety CAT (Pearson correlation coefficients, -0.46, -0.48, and 0.53, respectively) and PROMIS PI CAT (-0.60, -0.65, and 0.76, respectively) scores. Multivariable regression analyses demonstrated that increased PROMIS Anxiety and PI CAT scores each independently and adversely influenced PROMIS PF CAT, PROMIS UE CAT, and QuickDASH scores. CONCLUSIONS: Increasing levels of patient anxiety and pain interference are independently associated with decreased patient-reported upper extremity function. CLINICAL RELEVANCE: This study provides further support of the biopsychosocial model by highlighting that increased anxiety is associated with decreased self-reported function using the PROMIS platform.
PURPOSE: The relationship between psychosocial factors and self-reported physical function among hand and upper extremity patients is complex. The Patient-Reported Outcomes Measurement Information System (PROMIS) platform has attempted to create a variety of specifically targeted metrics that can be administered using computer adaptive testing (CAT). Three metrics measuring self-reported physical function (herein referred to in combination as "functional" metrics) include the PROMIS Physical Function (PF) CAT, PROMIS Upper Extremity (UE) CAT, and the Quick Disabilities of the Arm, Shoulder, and Hand (QuickDASH). Two metrics assessing psychosocial factors include the PROMIS Anxiety and Pain Interference (PI) CATs ("nonfunctional" metrics). This study evaluates whether the functional metrics were correlated with nonfunctional metrics. METHODS: The 5 questionnaires were administered prospectively on a tablet computer to all consecutive adult patients presenting to an outpatient hand and upper extremity (nonshoulder) clinic at a tertiary academic medical center from January 1 to November 1, 2014. For patients with multiple visits during the study period, only the first was included. Data were evaluated retrospectively to assess the relationship between functional and nonfunctional measures, with Pearson correlation coefficients to understand the relationship between continuous variables, and 1-way analysis of variance to examine for differences in outcome measures across demographic groups. Multivariable linear regression analyses were performed to determine factors predicting functional disability. RESULTS: We included 1,299 patients: mean age was 46.8 years, 53% were female, and 23% were unemployed or on disability. The PROMIS PF CAT, PROMIS UE CAT, and QuickDASH scores were all significantly correlated with PROMIS Anxiety CAT (Pearson correlation coefficients, -0.46, -0.48, and 0.53, respectively) and PROMIS PI CAT (-0.60, -0.65, and 0.76, respectively) scores. Multivariable regression analyses demonstrated that increased PROMIS Anxiety and PI CAT scores each independently and adversely influenced PROMIS PF CAT, PROMIS UE CAT, and QuickDASH scores. CONCLUSIONS: Increasing levels of patientanxiety and pain interference are independently associated with decreased patient-reported upper extremity function. CLINICAL RELEVANCE: This study provides further support of the biopsychosocial model by highlighting that increased anxiety is associated with decreased self-reported function using the PROMIS platform.
Authors: Sjoerd P F T Nota; Silke A Spit; Thijs C H Oosterhoff; Michiel G J S Hageman; David C Ring; Ana-Maria Vranceanu Journal: Clin Orthop Relat Res Date: 2016-05-12 Impact factor: 4.176
Authors: Andrew R Tyser; James Beckmann; Jeremy D Franklin; Christine Cheng; Shirley D Hon; Angela Wang; Man Hung Journal: J Hand Surg Am Date: 2014-08-16 Impact factor: 2.230
Authors: David Ring; John Kadzielski; Lauren Fabian; David Zurakowski; Leah R Malhotra; Jesse B Jupiter Journal: J Bone Joint Surg Am Date: 2006-09 Impact factor: 5.284
Authors: Vivian S Lee; Kensaku Kawamoto; Rachel Hess; Charlton Park; Jeffrey Young; Cheri Hunter; Steven Johnson; Sandi Gulbransen; Christopher E Pelt; Devin J Horton; Kencee K Graves; Tom H Greene; Yoshimi Anzai; Robert C Pendleton Journal: JAMA Date: 2016-09-13 Impact factor: 56.272
Authors: David Cella; Susan Yount; Nan Rothrock; Richard Gershon; Karon Cook; Bryce Reeve; Deborah Ader; James F Fries; Bonnie Bruce; Mattias Rose Journal: Med Care Date: 2007-05 Impact factor: 2.983
Authors: Nikolas H Kazmers; Angela P Presson; Ziji Yu; Wyatt Walsh; Douglas T Hutchinson; Andrew R Tyser Journal: J Hand Surg Am Date: 2020-07-05 Impact factor: 2.230
Authors: Nikolas H Kazmers; Man Hung; Jerry Bounsanga; Maren W Voss; Abby Howenstein; Andrew R Tyser Journal: J Hand Surg Am Date: 2019-05-06 Impact factor: 2.230
Authors: James C Hubbard; Yue Zhang; Yuqing Qiu; Minkyoung Yoo; Andrew R Stephens; Michelle Zeidan; Nikolas H Kazmers Journal: J Hand Surg Am Date: 2022-02-23 Impact factor: 2.342
Authors: Nikolas H Kazmers; Beatrice Grasu; Angela P Presson; Zhining Ou; Nicholas B Henrie; Andrew R Tyser Journal: J Hand Surg Am Date: 2020-02-13 Impact factor: 2.230
Authors: Meredith L Grogan Moore; Joost T P Kortlever; Mark H F Keulen; David P Brigati; Kevin J Bozic; Karl M Koenig Journal: J Orthop Date: 2020-02-07
Authors: Ali Aneizi; Dominique Gelmann; Dominic J Ventimiglia; Patrick M J Sajak; Vidushan Nadarajah; Michael J Foster; Tristan B Weir; Ngozi M Akabudike; Raymond A Pensy; R Frank Henn Journal: Hand (N Y) Date: 2021-01-19
Authors: Nikolas H Kazmers; Yuqing Qiu; Minkyoung Yoo; Andrew R Stephens; Michelle Zeidan; Yue Zhang Journal: J Hand Surg Am Date: 2021-03-31 Impact factor: 2.342