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A View of the Development of Patient-Reported Outcomes Measures, Their Clinical Integration, Electronification, and Potential Impact on Rehabilitation Service Delivery

Published:December 09, 2021DOI:


      Recognition of the importance of a patient's perception of their status and experience has become central to medical care and its evaluation. This recognition has led to a growing reliance on the use of patient-reported outcome measures (PROMs). Nevertheless, although awareness of PROMs and acceptance of their utility has increased markedly, few of us have a good insight into their development; their utility relative to clinician-rated and performance measures such as the FIM and 6-minute walk test or how their “electronification” and incorporation into electronic health records (EHRs) may improve the individualization, value, and quality of medical care. In all, the goal of this commentary is to provide some insight into historical factors and technology developments that we believe have shaped modern clinical PROMs as they relate to medicine in general and to rehabilitation in particular. In addition, we speculate that while the growth of PROM use may have been triggered by an increased emphasis on the centrality of the patient in their care, future uptake will be shaped by their embedding in EHRs and used to improve clinical decision support though their integration with other sources of clinical and sociodemographic data.


      List of abbreviations:

      CAT (computerized adaptive test), CRO (clinician-rated outcome), EHR (electronic health record), ePROM (electronic patient-reported outcome), IRT (item response theory), MCID (minimal clinically important difference), MOS (Medical Outcomes Study), PHQ-9 (Patient Health Questionnaire-9), PROM (patient-reported outcome measure), SIP (Sickness Impact Profile), TBI (traumatic brain injury)
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        • Centers for Medicaid and Medicare Services
        Patient-reported outcome measures.
        CMS measure management system blueprint, 2020
        • Krogsgaard MR
        • Brodersen J
        • Christensen KB
        • et al.
        What is a PROM and why do we need it?.
        Scand J Med Sci Sports. 2021; 31: 967-971
        • Ayers D
        • Franklin P.
        Successful use of patient reported outcomes in bundled patient contracts. Becker's Hospital CFO Report. Becker's Healthcare.
        • Butcher L.
        Patient-reported outcome measures support high-value care.
        Leadership+: Healthcare Financial Management Association (HFMA). 2017;
        • Brogan AP
        • DeMuro C
        • Barrett AM
        • D'Alessio D
        • Bal V
        • Hogue SL
        Payer perspectives on patient-reported outcomes in health care decision making: oncology examples.
        J Manag Care Spec Pharm. 2017; 23: 125-134
        • National Quality Forum
        Patient reported outcomes (PROs) in performance measurement.
        National Quality Forum, WashingtonDC2013
        • Johnston BC
        • Patrick DL
        • Devji T
        • et al.
        Patient-reported outcomes.
        (editors)in: Higgins JPT Thomas J Chandler J Cochrane Handbook for Systematic Reviews of Interventions. Cochrane Collaboration, London2021
        • Bergner M
        • Bobbitt RA
        • Carter WB
        • Gilson BS.
        The Sickness Impact Profile: development and final revision of a health status measure.
        Med Care. 1981; 19: 787-805
        • Bergner M
        • Gilson BS.
        The Sickness Impact Profile: the relevance of social science to medicine.
        (editors)in: Eisenberg L Kleinman A The relevance of social science for medicine. Sprinter, Dordrecht1981: 135-150
        • French DJ
        • France CR
        • Vigneau F
        • French JA
        • Evans RT.
        Fear of movement/(re)injury in chronic pain: a psychometric assessment of the original English version of the Tampa Scale for Kinesiophobia (TSK).
        Pain. 2007; 127: 42-51
        • Barr PJ
        • Scholl I
        • Bravo P
        • Faber MJ
        • Elwyn G
        • McAllister M.
        Assessment of patient empowerment–a systematic review of measures.
        PLoS One. 2015; 10e0126553
        • de Vet HCW
        • Terwee CB
        • ML B.
        • Knol DL.
        Measurement in medicine: a practical guide.
        Cambridge Books, New York2011
        • Shirmohammadi S
        • Barbe K
        • Grimaldi D
        • Rapuano S
        • Grassini S.
        Instrumentation and measurement in medical, biomedical, and healthcare systems.
        IEEE Instrum Meas Mag. 2016; 19: 6-12
        • Borrell-Carrio F
        • Suchman AL
        • Epstein RM.
        The biopsychosocial model 25 years later: principles, practice, and scientific inquiry.
        Ann Fam Med. 2004; 2: 576-582
        • Boake C.
        From the Binet-Simon to the Wechsler-Bellevue: tracing the history of intelligence testing.
        J Clin Exp Neuropsychol. 2002; 24: 383-405
        • Bech P.
        Clinical psychometrics.
        Wiley-Blackwell, Oxford2012
        • Nagi SZ.
        An epidemiology of disability among adults in the United States.
        Milbank Mem Fund Q Health Soc. 1976; 54: 439-467
        • Tarlov AR
        • Ware Jr, JE
        • Greenfield S
        • Nelson EC
        • Perrin E
        • Zubkoff M.
        The Medical Outcomes Study. An application of methods for monitoring the results of medical care.
        JAMA. 1989; 262: 925-930
        • Donabedian A.
        Evaluating the quality of medical care.
        Milbank Mem Fund Q. 1966; 44: 166-206
        • Hays RD.
        RAND-36 Health Status Inventory.
        The Psychological Corporation, Harcourt Brace and Company, San Antonio, TX1998
        • Fowler Jr, FJ
        • Wennberg JE
        • Timothy RP
        • Barry MJ
        • Mulley Jr, AG
        • Hanley D.
        Symptom status and quality of life following prostatectomy.
        JAMA. 1988; 259: 3018-3022
        • Stewart AL
        • Greenfield S
        • Hays RD
        • et al.
        Functional status and well-being of patients with chronic conditions. Results from the Medical Outcomes Study.
        JAMA. 1989; 262: 907-913
        • George LK
        • Fillenbaum GG.
        OARS methodology. A decade of experience in geriatric assessment.
        J Am Geriatr Soc. 1985; 33: 607-615
      1. Identifying the disabled: concepts and methods in the measurement of disability. By Lawrence D. Haber, 1967.
        Soc Secur Bull. 1988; 51: 11-28
        • Jette AM
        • Branch LG.
        The Framingham Disability Study: II. Physical disability among the aging.
        Am J Public Health. 1981; 71: 1211-1216
        • Branch LG
        • Jette AM.
        The Framingham Disability Study: I. Social disability among the aging.
        Am J Public Health. 1981; 71: 1202-1210
        • Kroenke K
        • Spitzer RL
        • Williams JB
        • Lowe B.
        The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: a systematic review.
        Gen Hosp Psychiatry. 2010; 32: 345-359
        • Katz S
        • Downs TD
        • Cash HR
        • Grotz RC.
        Progress in development of the index of ADL.
        Gerontologist. 1970; 10: 20-30
        • Rosow I
        • Breslau N.
        A Guttman health scale for the aged.
        J Gerontol. 1966; 21: 556-559
        • Tinetti ME
        • Williams TF
        • Mayewski R.
        Fall risk index for elderly patients based on number of chronic disabilities.
        Am J Med. 1986; 80: 429-434
        • Guralnik JM
        • Simonsick EM
        • Ferrucci L
        • et al.
        A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission.
        J Gerontol. 1994; 49: M85-M94
        • Fairbank JC
        • Pynsent PB.
        The Oswestry Disability Index.
        Spine (Phila Pa 1976). 2000; 25 ([discussion: 52]): 2940-2952
        • Roland M
        • Morris R.
        A study of the natural history of back pain. Part I: development of a reliable and sensitive measure of disability in low-back pain.
        Spine (Phila Pa 1976). 1983; 8: 141-144
        • Shaik AR
        • Shemjaz AM.
        The rise of physical therapy: a history in footsteps.
        Arch Med Health Sci. 2014; 2: 257-260
        • Moffat M.
        The history of physical therapy practice in the United States.
        J Phys Ther Educ. 2003; 17: 15-25
      2. US Centers for Medicare and Medicaid Services. CARE Item Set and B-CARE. Available at: Accessed December 31, 2020.

        • Keith RA
        • Granger CV
        • Hamilton BB
        • Sherwin FS.
        The Functional Independence Measure: a new tool for rehabilitation.
        (editors)in: Eisenberg MG Grzesiak RC Advances in clinical rehabilitation. Springer Publishing Company, New York1987: 6-18
        • Bruce B
        • Fries J
        • Lingala B
        • Hussain YN
        • Krishnan E.
        Development and assessment of floor and ceiling items for the PROMIS physical function item bank.
        Arthritis Res Ther. 2013; 15: R144
        • Carlozzi NE
        • Tyner CE
        • Kisala PA
        • et al.
        Measuring self-reported cognitive function following TBI: development of the TBI-QOL Executive Function and Cognition-General Concerns item banks.
        J Head Trauma Rehabil. 2019; 34: 308-325
        • Guralnik JM
        • Branch LG
        • Cummings SR
        • Curb JD.
        Physical performance measures in aging research.
        J Gerontol. 1989; 44: M141-M146
        • Brach JS
        • VanSwearingen JM
        • Newman AB
        • Kriska AM.
        Identifying early decline of physical function in community-dwelling older women: performance-based and self-report measures.
        Phys Ther. 2002; 82: 320-328
        • Kivinen P
        • Halonen P
        • Eronen M
        • Nissinen A.
        Self-rated health, physician-rated health and associated factors among elderly men: the Finnish cohorts of the Seven Countries Study.
        Age Ageing. 1998; 27: 41-47
        • Fried LP
        • Bandeen-Roche K
        • Chaves PH
        • Johnson BA.
        Preclinical mobility disability predicts incident mobility disability in older women.
        J Gerontol A Biol Sci Med Sci. 2000; 55: M43-M52
        • Fritz JM
        • Piva SR.
        Physical Impairment Index: reliability, validity, and responsiveness in patients with acute low back pain.
        Spine (Phila Pa 1976). 2003; 28: 1189-1194
        • Latham NK
        • Mehta V
        • Nguyen AM
        • et al.
        Performance-based or self-report measures of physical function: which should be used in clinical trials of hip fracture patients?.
        Arch Phys Med Rehabil. 2008; 89: 2146-2155
        • Horvath Walsh LE
        • Rider A
        • Piercy J
        • et al.
        Real-world impact of physician and patient discordance on health-related quality of life in US patients with acute myeloid leukemia.
        Oncol Ther. 2019; 7: 67-81
        • Schnadig ID
        • Fromme EK
        • Loprinzi CL
        • et al.
        Patient-physician disagreement regarding performance status is associated with worse survivorship in patients with advanced cancer.
        Cancer. 2008; 113: 2205-2214
        • Smith KW
        • Avis NE
        • Assmann SF.
        Distinguishing between quality of life and health status in quality of life research: a meta-analysis.
        Qual Life Res. 1999; 8: 447-459
        • Motl RW
        • McAuley E
        • Wynn D
        • Sandroff B
        • Suh Y.
        Physical activity, self-efficacy, and health-related quality of life in persons with multiple sclerosis: analysis of associations between individual-level changes over one year.
        Qual Life Res. 2013; 22: 253-261
        • Garatachea N
        • Molinero O
        • Martinez-Garcia R
        • Jimenez-Jimenez R
        • Gonzalez-Gallego J
        • Marquez S.
        Feelings of well being in elderly people: relationship to physical activity and physical function.
        Arch Gerontol Geriatr. 2009; 48: 306-312
        • Takata Y
        • Ansai T
        • Soh I
        • et al.
        Quality of life and physical fitness in an 85-year-old population.
        Arch Gerontol Geriatr. 2010; 50: 272-276
        • Kim D.
        Correlation between physical function, cognitive function, and health-related quality of life in elderly persons.
        J Phys Ther Sci. 2016; 28: 1844-1848
        • Alsubaie SF
        • Alkathiry AA
        • Abdelbasset WK
        • Nambi G.
        The physical activity type most related to cognitive function and quality of life.
        Biomed Res Int. 2020; 20208856284
        • Stanghelle B
        • Bentzen H
        • Giangregorio L
        • Pripp AH
        • Bergland A.
        Associations between health-related quality of life, physical function and pain in older women with osteoporosis and vertebral fracture.
        BMC Geriatr. 2019; 19: 298
        • Wilson CL
        • Gawade PL
        • Ness KK.
        Impairments that influence physical function among survivors of childhood cancer.
        Children (Basel). 2015; 2: 1-36
        • Trojetto T
        • Elliott RJ
        • Rashid S
        • et al.
        Availability, characteristics, and barriers of rehabilitation programs in organ transplant populations across Canada.
        Clin Transplant. 2011; 25: E571-E578
      3. Guiding principles for the care of older adults with multimorbidity: an approach for clinicians: American Geriatrics Society Expert Panel on the Care of Older Adults with Multimorbidity.
        J Am Geriatr Soc. 2012; 60: E1-E25
        • Hu J
        • Wu T
        • Damodaran S
        • Tabb KM
        • Bauer A
        • Huang H.
        The effectiveness of collaborative care on depression outcomes for racial/ethnic minority populations in primary care: a systematic review.
        Psychosomatics. 2020; 61: 632-644
        • Thota AB
        • Sipe TA
        • Byard GJ
        • et al.
        Collaborative care to improve the management of depressive disorders: a community guide systematic review and meta-analysis.
        Am J Prev Med. 2012; 42: 525-538
        • Garcia ME
        • Ochoa-Frongia L
        • Moise N
        • Aguilera A
        • Fernandez A
        collaborative care for depression among patients with limited English proficiency: a systematic review.
        J Gen Intern Med. 2018; 33: 347-357
        • Cheville AL
        • Moynihan T
        • Herrin J
        • Loprinzi C
        • Kroenke K.
        Effect of collaborative telerehabilitation on functional impairment and pain among patients with advanced-stage cancer: a randomized clinical trial.
        JAMA Oncol. 2019; 5: 644-652
        • Longacre CF
        • Nyman JA
        • Visscher SL
        • Borah BJ
        • Cheville AL.
        Cost-effectiveness of the Collaborative Care to Preserve Performance in Cancer (COPE) trial tele-rehabilitation interventions for patients with advanced cancers.
        Cancer Med. 2020; 9: 2723-2731
        • Mulvaney-Day N
        • Marshall T
        • Downey Piscopo K
        • et al.
        Screening for behavioral health conditions in primary care settings: a systematic review of the literature.
        J Gen Intern Med. 2018; 33: 335-346
        • Gilbody S
        • Bower P
        • Fletcher J
        • Richards D
        • Sutton AJ.
        Collaborative care for depression: a cumulative meta-analysis and review of longer-term outcomes.
        Arch Intern Med. 2006; 166: 2314-2321
        • Angstman KB
        • Oberhelman S
        • Rohrer JE
        • Meunier MR
        • Rasmussen NH
        • Chappell DH.
        Depression remission decreases outpatient utilization at 6 and 12 months after enrollment into collaborative care management.
        Popul Health Manag. 2014; 17: 48-53
        • Angstman KB
        • Phelan S
        • Myszkowski MR
        • et al.
        Minority primary care patients with depression: outcome disparities improve with collaborative care management.
        Med Care. 2015; 53: 32-37
        • Akambase JA
        • Miller NE
        • Garrison GM
        • Stadem P
        • Talley H
        • Angstman KB.
        Depression outcomes in smokers and nonsmokers: comparison of collaborative care management versus usual care.
        J Prim Care Community Health. 2019; 102150132719861265
        • Kroenke K
        • Theobald D
        • Wu J
        • et al.
        Effect of telecare management on pain and depression in patients with cancer: a randomized trial.
        JAMA. 2010; 304: 163-171
        • Choi Yoo SJ
        • Nyman JA
        • Cheville AL
        • Kroenke K
        Cost effectiveness of telecare management for pain and depression in patients with cancer: results from a randomized trial.
        Gen Hosp Psychiatry. 2014; 36: 599-606
        • Basch E
        • Deal AM
        • Kris MG
        • et al.
        Symptom monitoring with patient-reported outcomes during routine cancer treatment: a randomized controlled trial.
        J Clin Oncol. 2016; 34: 557-565
        • Finney Rutten LJ
        • Ruddy KJ
        • Chlan LL
        • et al.
        Pragmatic cluster randomized trial to evaluate effectiveness and implementation of enhanced EHR-facilitated cancer symptom control (E2C2).
        Trials. 2020; 21: 480
        • Malec JF
        • Ketchum JM.
        A standard method for determining the minimal clinically important difference for rehabilitation measures.
        Arch Phys Med Rehabil. 2020; 101: 1090-1094
        • Crosby RD
        • Kolotkin RL
        • Williams GR.
        Defining clinically meaningful change in health-related quality of life.
        J Clin Epidemiol. 2003; 56: 395-407
        • Beaton DE
        • Boers M
        • Wells GA.
        Many faces of the minimal clinically important difference (MCID): a literature review and directions for future research.
        Curr Opin Rheumatol. 2002; 14: 109-114
        • Manea L
        • Gilbody S
        • McMillan D.
        Optimal cut-off score for diagnosing depression with the Patient Health Questionnaire (PHQ-9): a meta-analysis.
        CMAJ. 2012; 184: E191-E196
        • Berliner JL
        • Brodke DJ
        • Chan V
        • SooHoo NF
        • Bozic KJ.
        Can preoperative patient-reported outcome measures be used to predict meaningful improvement in function after TKA?.
        Clin Orthop Relat Res. 2017; 475: 149-157
        • Dowsey MM
        • Spelman T
        • Choong PF.
        Development of a prognostic nomogram for predicting the probability of nonresponse to total knee arthroplasty 1 year after surgery.
        J Arthroplasty. 2016; 31: 1654-1660
        • Anderson MR
        • Houck JR
        • Saltzman CL
        • et al.
        Validation and generalizability of preoperative PROMIS scores to predict postoperative success in foot and ankle patients.
        Foot Ankle Int. 2018; 39: 763-770
        • Baumhauer JF.
        Patient-reported outcomes - are they living up to their potential?.
        N Engl J Med. 2017; 377: 6-9
        • Mierzynska J
        • Piccinin C
        • Pe M
        • et al.
        Prognostic value of patient-reported outcomes from international randomised clinical trials on cancer: a systematic review.
        Lancet Oncol. 2019; 20: e685-ee98
        • Gotay CC
        • Kawamoto CT
        • Bottomley A
        • Efficace F.
        The prognostic significance of patient-reported outcomes in cancer clinical trials.
        J Clin Oncol. 2008; 26: 1355-1363
        • Hopkins AM
        • Wagner J
        • Kichenadasse G
        • Modi N
        • Rowland A
        • Sorich MJ.
        Patient-reported outcomes as a prognostic marker of survival in patients with advanced nonsmall cell lung cancer treated with immunotherapy.
        Int J Cancer. 2020; 147: 3085-3089
        • Inkrot S
        • Lainscak M
        • Edelmann F
        • et al.
        Poor self-rated health predicts mortality in patients with stable chronic heart failure.
        Eur J Cardiovasc Nurs. 2016; 15: 504-512
        • Venskutonyte L
        • Brismar K
        • Ohrvik J
        • Ryden L
        • Kjellstrom B.
        Self-rated health predicts outcome in patients with type 2 diabetes and myocardial infarction: a DIGAMI 2 quality of life sub-study.
        Diab Vasc Dis Res. 2013; 10: 361-367
        • Badaoui S
        • Kichenadasse G
        • Rowland A
        • Sorich MJ
        • Hopkins AM.
        Patient-reported outcomes predict progression-free survival of patients with advanced breast cancer treated with abemaciclib.
        Oncologist. 2021; 26: 562-568
        • Coens C
        • Pe M
        • Dueck AC
        • et al.
        International standards for the analysis of quality-of-life and patient-reported outcome endpoints in cancer randomised controlled trials: recommendations of the SISAQOL Consortium.
        Lancet Oncol. 2020; 21: e83-e96
        • Henn 3rd, RF
        • Kang L
        • Tashjian RZ
        • Green A.
        Patients' preoperative expectations predict the outcome of rotator cuff repair.
        J Bone Joint Surg Am. 2007; 89: 1913-1919
        • Thomas ML.
        The value of item response theory in clinical assessment: a review.
        Assessment. 2011; 18: 291-307
        • Reise SP
        • Waller NG.
        Item response theory and clinical measurement.
        Annu Rev Clin Psychol. 2009; 5: 27-48
        • van der Linden W
        • Hambleton R.
        Handbook of modern item response theory.
        Springer Science and Business Media, 1996
        • Smith SR
        • Vargo M
        • Zucker D
        • et al.
        Psychometric characteristics and validity of the PROMIS Cancer Function Brief 3D Profile.
        Arch Phys Med Rehabil. 2022; 103: S146-S161
        • Cella D
        • Gershon R
        • Lai JS
        • Choi S
        The future of outcomes measurement: item banking, tailored short-forms, and computerized adaptive assessment.
        Qual Life Res. 2007; 16 (Suppl): 133-141
        • Hahn EA
        • Cella D
        • Bode RK
        • Gershon R
        • Lai JS
        Item banks and their potential applications to health status assessment in diverse populations.
        Med Care. 2006; 44 (11 Suppl): S189-S197
        • Stucki G
        • Kostanjsek N
        • Ustun B
        • Ewert T
        • Cieza A.
        Applying the ICF to rehabilitation medicine.
        (editor)in: Frontera W DeLisa's physical medicine and rehabilitation principles and practice. Lippencott Williams and Wilkins, Philadelphia2010: 301-324
        • Haley SM
        • Coster WJ
        • Andres PL
        • et al.
        Activity outcome measurement for postacute care.
        Med Care. 2004; 42: I49-I61
        • Jette AM
        • Haley SM
        • Tao W
        • et al.
        Prospective evaluation of the AM-PAC-CAT in outpatient rehabilitation settings.
        Phys Ther. 2007; 87: 385-398
        • Fries JF
        • Bruce B
        • Cella D.
        The promise of PROMIS: using item response theory to improve assessment of patient-reported outcomes.
        Clin Exp Rheumatol. 2005; 23 (Suppl 39): S53-S57
        • Fries JF
        • Cella D
        • Rose M
        • Krishnan E
        • Bruce B.
        Progress in assessing physical function in arthritis: PROMIS short forms and computerized adaptive testing.
        J Rheumatol. 2009; 36: 2061-2066
        • Cella D
        • Riley W
        • Stone A
        • et al.
        The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008.
        J Clin Epidemiol. 2010; 63: 1179-1194
        • Gershon RC
        • Lai JS
        • Bode R
        • et al.
        Neuro-QOL: quality of life item banks for adults with neurological disorders: item development and calibrations based upon clinical and general population testing.
        Qual Life Res. 2012; 21: 475-486
        • Tulsky DS
        • Kisala PA
        • Victorson D
        • et al.
        Overview of the Spinal Cord Injury–Quality of Life (SCI-QOL) measurement system.
        J Spinal Cord Med. 2015; 38: 257-269
        • Tulsky DS
        • Kisala PA
        • Victorson D
        • et al.
        TBI-QOL: development and calibration of item banks to measure patient reported outcomes following traumatic brain injury.
        J Head Trauma Rehabil. 2016; 31: 40-51
        • Haley SM
        • Fragala-Pinkham MA
        • Dumas HM
        • et al.
        Evaluation of an item bank for a computerized adaptive test of activity in children with cerebral palsy.
        Phys Ther. 2009; 89: 589-600
        • Allen DD
        • Gorton GE
        • Oeffinger DJ
        • Tylkowski C
        • Tucker CA
        • Haley SM.
        Analysis of the pediatric outcomes data collection instrument in ambulatory children with cerebral palsy using confirmatory factor analysis and item response theory methods.
        J Pediatr Orthop. 2008; 28: 192-198
        • Cook KF
        • Kallen MA
        • Hayes D
        • et al.
        Calibration and validation of an item bank for measuring general physical function of patients in medical rehabilitation settings.
        Patient Relat Outcome Meas. 2018; 9: 11-16
        • Werneke MW
        • Deutscher D
        • Fritz J
        • et al.
        Associations between interim patient-reported outcome measures and functional status at discharge from rehabilitation for non-specific lumbar impairments.
        Qual Life Res. 2020; 29: 439-451
        • Hart DL
        • Mioduski JE
        • Werneke MW
        • Stratford PW.
        Simulated computerized adaptive test for patients with lumbar spine impairments was efficient and produced valid measures of function.
        J Clin Epidemiol. 2006; 59: 947-956
        • Ni P
        • McDonough CM
        • Jette AM
        • et al.
        Development of a computer-adaptive physical function instrument for Social Security Administration disability determination.
        Arch Phys Med Rehabil. 2013; 94: 1661-1669
        • Jette DU
        • Stilphen M
        • Ranganathan VK
        • Passek SD
        • Frost FS
        • Jette AM.
        Validity of the AM-PAC "6-Clicks" inpatient daily activity and basic mobility short forms.
        Phys Ther. 2014; 94: 379-391
        • Jette DU
        • Stilphen M
        • Ranganathan VK
        • Passek S
        • Frost FS
        • Jette AM.
        Interrater reliability of AM-PAC "6-Clicks" Basic Mobility and Daily Activity Short Forms.
        Phys Ther. 2015; 95: 758-766
        • Hoyer EH
        • Young DL
        • Friedman LA
        • et al.
        Routine inpatient mobility assessment and hospital discharge planning.
        JAMA Intern Med. 2019; 179: 118-120
        • Bush RA
        • Perez A
        • Baum T
        • Etland C
        • Connelly CD.
        A systematic review of the use of the electronic health record for patient identification, communication, and clinical support in palliative care.
        JAMIA Open. 2018; 1: 294-303
        • Gold HT
        • Karia RJ
        • Link A
        • et al.
        Implementation and early adaptation of patient-reported outcome measures into an electronic health record: a technical report.
        Health Informatics J. 2020; 26: 129-140
        • Rotenstein LS
        • Agarwal A
        • O'Neil K
        • et al.
        Implementing patient-reported outcome surveys as part of routine care: lessons from an academic radiation oncology department.
        J Am Med Inform Assoc. 2017; 24: 964-968
        • Cheville AL
        • Wang C
        • Yost KJ
        • et al.
        Improving the delivery of function-directed care during acute hospitalizations: methods to develop and validate the Functional Assessment in Acute Care Multidimensional Computerized Adaptive Test (FAMCAT).
        Arch Rehabil Res Clin Transl. 2021; 3100112
        • Teresi JA
        • Wang C
        • Kleinman M
        • Jones RN
        • Weiss DJ.
        Differential item functioning analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) measures: methods, challenges, advances, and future directions.
        Psychometrika. 2021; 86: 674-711
        • Teresi JA
        • Ocepek-Welikson K
        • Ramirez M
        • et al.
        Examination of the measurement equivalence of the Functional Assessment in Acute Care MCAT (FAMCAT) mobility item bank using differential item functioning analyses.
        Arch Phys Med Rehabil. 2022; 103: S84-S107
        • Cheville A.
        Design and methods to develop and validate the Functional Assessment in Acute Care Multidimensional Computerized Adaptive Test (FAMCAT) to improve delivery of function-directed care in hospitals.
        Arch Rehabil Res Clin Transl. 2021; 3100112
        • Webb EJ.
        Unconventionality, triangulation, and inference.
        (editor)in: Denzin NK Sociological methods: a sourcebook. Routledge, New York2017: 449-457
        • Cheville AL
        • Basford JR
        • Parney I
        • Yang P
        • Diehn FE.
        Nested cohort study to identify characteristics that predict near-term disablement from lung cancer brain metastases.
        Arch Phys Med Rehabil. 2017; 98: 303-311