Literature DB >> 33388889

The performance of PROMIS computer adaptive testing for patient-reported outcomes in hip fracture surgery: a pilot study.

Aleksey Dvorzhinskiy1, Elizabeth B Gausden2, Ashley E Levack2, Benedict U Nwachukwu3, Joseph Nguyen4, Naomi E Gadinsky2, David S Wellman5, Dean G Lorich5.   

Abstract

INTRODUCTION: Patient-reported outcome measures (PROMs) are essential to patient-centered care in orthopaedics. PROMIS measures have demonstrated reliability, validity, responsiveness, and minimal floor and ceiling effects in various populations of patients receiving orthopaedic care but have not yet been examined in hip fracture patients. This pilot study sought to evaluate the psychometric performance of the PROMIS Physical Function (PROMIS PF) and Pain Interference (PROMIS PI) computer adaptive tests and compare these instruments with legacy outcome measures in hip fracture patients.
METHODS: This study included 67 patients who were 27-96 years old (median 76) and underwent osteosynthesis for a proximal femoral fracture. At 3, 6, and/or 12 months follow-up, patients completed both legacy (mHHS, SF-36-PCS, and VAS for pain) and PROMIS questionnaires (PROMIS PF and PROMIS PI). Respondent burden and floor/ceiling effects were calculated for each outcome measure. Correlation was calculated to determine concurrent validity between related constructs.
RESULTS: A strong correlation was found between PROMIS PF and mHHS (rho = 0.715, p < 0.001) and moderately strong correlation between PROMIS PF and SF-36 PCS (rho = 0.697, p < 0.001). There was also a moderately strong correlation between the VAS and the PROMIS PI (rho = 0.641, p < 0.001). Patients who completed PROMIS PF were required to answer significantly fewer questions as compared with legacy PROMs (mHHS, SF-36). For the PROMIS measures, 1% of patients completing PROMIS PF achieved the highest allowable score while 34% of patients completing PROMIS PI achieved the lowest allowable score. Of the legacy outcome measures, 31% of patients completing the VAS for pain achieved the lowest allowable score and 7% of patients completing the mHHS achieved the highest allowable score.
CONCLUSIONS: The results of this study support the validity of PROMIS CATs for use in hip fracture patients. The PROMIS PF was significantly correlated with SF-36 PCS and mHHS while requiring fewer question items per patient relative to the legacy outcome measures.
© 2021. Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Computer adaptive testing; Femoral neck fractures; Geriatric trauma; Hip fractures; Intertrochanteric fractures; Outcome measures; PROMIS; Patient-reported outcomes

Mesh:

Year:  2021        PMID: 33388889     DOI: 10.1007/s00402-020-03640-y

Source DB:  PubMed          Journal:  Arch Orthop Trauma Surg        ISSN: 0936-8051            Impact factor:   3.067


  18 in total

1.  Quality criteria were proposed for measurement properties of health status questionnaires.

Authors:  Caroline B Terwee; Sandra D M Bot; Michael R de Boer; Daniëlle A W M van der Windt; Dirk L Knol; Joost Dekker; Lex M Bouter; Henrica C W de Vet
Journal:  J Clin Epidemiol       Date:  2006-08-24       Impact factor: 6.437

2.  Evaluation of a preliminary physical function item bank supported the expected advantages of the Patient-Reported Outcomes Measurement Information System (PROMIS).

Authors:  M Rose; J B Bjorner; J Becker; J F Fries; J E Ware
Journal:  J Clin Epidemiol       Date:  2008-01       Impact factor: 6.437

3.  Supination External Rotational Ankle Fracture Injury Pattern Correlation With Regional Bone Density.

Authors:  Stephen J Warner; Elizabeth B Gausden; Ashley E Levack; Dean G Lorich
Journal:  Foot Ankle Int       Date:  2018-12-21       Impact factor: 2.827

4.  PROMIS Physical Function Computer Adaptive Test Compared With Other Upper Extremity Outcome Measures in the Evaluation of Proximal Humerus Fractures in Patients Older Than 60 Years.

Authors:  Jordan H Morgan; Michael A Kallen; Kanu Okike; Olivia C Lee; Mark S Vrahas
Journal:  J Orthop Trauma       Date:  2015-06       Impact factor: 2.512

5.  The future of outcomes measurement: item banking, tailored short-forms, and computerized adaptive assessment.

Authors:  David Cella; Richard Gershon; Jin-Shei Lai; Seung Choi
Journal:  Qual Life Res       Date:  2007-03-31       Impact factor: 4.147

6.  Preoperative PROMIS Scores Predict Postoperative Success in Foot and Ankle Patients.

Authors:  Bryant Ho; Jeff R Houck; Adolph S Flemister; John Ketz; Irvin Oh; Benedict F DiGiovanni; Judith F Baumhauer
Journal:  Foot Ankle Int       Date:  2016-08-16       Impact factor: 2.827

7.  Validation of PROMIS Physical Function Instruments in Patients With an Orthopaedic Trauma to a Lower Extremity.

Authors:  Nan E Rothrock; Aaron J Kaat; Mark S Vrahas; Robert V OʼToole; Sarah K Buono; Suzanne Morrison; Richard C Gershon
Journal:  J Orthop Trauma       Date:  2019-08       Impact factor: 2.512

8.  The PROMIS physical function correlates with the QuickDASH in patients with upper extremity illness.

Authors:  Celeste L Overbeek; Sjoerd P F T Nota; Prakash Jayakumar; Michiel G Hageman; David Ring
Journal:  Clin Orthop Relat Res       Date:  2014-08-07       Impact factor: 4.176

9.  PROMIS for Orthopaedic Outcomes Measurement.

Authors:  Dane Jensen Brodke; Charles L Saltzman; Darrel Scott Brodke
Journal:  J Am Acad Orthop Surg       Date:  2016-11       Impact factor: 3.020

10.  PROMIS Computer Adaptive Tests Compared With Time to Brake in Patients With Complex Lower Extremity Trauma.

Authors:  Chang-Yeon Kim; Daniel H Wiznia; Leon Averbukh; Andrea Torres; Edward Kong; Seewan Kim; Michael P Leslie
Journal:  J Orthop Trauma       Date:  2016-11       Impact factor: 2.512

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  3 in total

1.  Addressing posterior tilt displacement during surgery to lower failure risk of sub-capital Garden types 1 and 2 femoral fractures.

Authors:  Ely L Steinberg; Assaf Albagli; Nimrod Snir; Moshe Salai; Amal Khoury; Tomer Ben-Tov; Shai Factor
Journal:  Arch Orthop Trauma Surg       Date:  2021-05-06       Impact factor: 2.928

2.  Age Significantly Affects Response Rate to Outcomes Questionnaires Using Mobile Messaging Software.

Authors:  Toufic R Jildeh; Joshua P Castle; Muhammad J Abbas; Miriam E Dash; Noel O Akioyamen; Kelechi R Okoroha
Journal:  Arthrosc Sports Med Rehabil       Date:  2021-08-05

Review 3.  Key considerations to reduce or address respondent burden in patient-reported outcome (PRO) data collection.

Authors:  Olalekan Lee Aiyegbusi; Jessica Roydhouse; Samantha Cruz Rivera; Paul Kamudoni; Peter Schache; Roger Wilson; Richard Stephens; Melanie Calvert
Journal:  Nat Commun       Date:  2022-10-12       Impact factor: 17.694

  3 in total

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