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Reporting and utilization of Patient-Reported Outcomes Measurement Information System® (PROMIS®) measures in orthopedic research and practice: a systematic review

Abstract

Background

The Patient-Reported Outcomes Measurement Information System (PROMIS) is a dynamic system of psychometrically sound patient-reported outcome (PRO) measures. There has been a recent increase in the use of PROMIS measures, yet little has been written about the reporting of these measures in the field of orthopedics. The purpose of this study was to conduct a systematic review to determine the uptake of PROMIS measures across orthopedics and to identify the type of PROMIS measures and domains that are most commonly used in orthopedic research and practice.

Methods

We searched PubMed, Embase, and Scopus using keywords and database-specific subject headings to capture orthopedic studies reporting PROMIS measures through November 2018. Our inclusion criteria were use of PROMIS measures as an outcome or used to describe a population of patients in an orthopedic setting in patients ≥ 18 years of age. We excluded non-quantitative studies, reviews, and case reports.

Results

Our final search yielded 88 studies published from 2013 through 2018, with 57% (50 studies) published in 2018 alone. By body region, 28% (25 studies) reported PROMIS measures in the upper extremity (shoulder, elbow, hand), 36% (32 studies) reported PROMIS measures in the lower extremity (hip, knee, ankle, foot), 19% (17 studies) reported PROMIS measures in the spine, 10% (9 studies) reported PROMIS measures in trauma patients, and 6% (5 studies) reported PROMIS measures in general orthopedic patients. The majority of studies reported between one and three PROMIS domains (82%, 73 studies). The PROMIS Computerized Adaptive Test (CAT) approach was most commonly used (81%, 72 studies). The most frequently reported PROMIS domains were physical function (81%, 71 studies) and pain interference (61%, 54 studies).

Conclusion

Our review found an increase in the reporting of PROMIS measures over the recent years. Utilization of PROMIS measures in orthopedic populations is clinically appropriate and can facilitate communication of outcomes across different provider types and with reduced respondent burden.

Registration

The protocol for this systematic review was designed in accordance with the PRISMA guidelines and is registered with the PROSPERO database (CRD42018088260).

Introduction

In order to determine if a patient has achieved a meaningful outcome, it is insufficient to evaluate treatment results solely on medical history, physical findings, laboratory tests, or imaging findings [1]. Patient-reported outcome (PRO) measures are a useful tool to quantify and communicate a patient’s health status to healthcare providers that directly incorporates the patient’s voice. Change in PROs can be one of the measures of “success” from a patient’s perspective after an orthopedic procedure [2]. PROs are increasingly being used as part of the clinical encounter to guide treatment decisions and determine the effectiveness of interventions [3], but PROs have presented challenges with implementation and measure selection.

In orthopedic practice and research, there is great variability in the number of PRO measures available. As a result, there is confusion among orthopedic providers about which PRO measure is most appropriate given a patient population and how to appropriately interpret a patient’s score to enhance treatment recommendations. Subsequently, in orthopedics, there has been a recent increase in the adoption of a universally accepted set of PRO measures: the Patient-Reported Outcomes Measurement Information System® (PROMIS®). PROMIS has been compared against conventional general health and disease-specific PRO measures and regularly has been found to improve coverage of the relevant health domain, increase reliability, and reduce respondent burden [4].

PROMIS measures were developed with support by the National Institutes of Health (NIH) as an effort to address the need for more valid, reliable, and generalizable measures of clinical outcomes that are important to patients [5]. PROMIS is a set of psychometrically sound measures to assess a patient’s physical, mental, and social health across multiple conditions or diseases, including orthopedic conditions. PROMIS measures overcome the limitations of traditional PRO measures used in orthopedic research and practice by scoring all PROMIS domains using a common metric of a T-score that is normalized to the U.S. general population. PROMIS provides access to both fixed-length measures (e.g., 6-item measure of fatigue) and computerized adaptive testing (CAT) that tailors the measure for each individual to allow for efficient assessment when response burden is of concern [6].

In recent years, a proliferation of studies have reported the association of PROMIS measures with traditional measures and have demonstrated the reliability and performance of PROMIS measures in orthopedic populations. While there have been a few systematic reviews about the use of PROMIS measures in certain disciplines within orthopedics [7,8,9,10], these reviews do not describe how the measures have been reported neither in the literature nor the general uptake of PROMIS measures within orthopedic research and practice. Thus, we sought to evaluate the adoption of PROMIS measures in orthopedics by describing how the measures are used and reported on, including the PROMIS domains evaluated, the type of PROMIS instrument used, and other traditional measures that were reported along with PROMIS measures.

Methods

Review design

The protocol for this systematic review was designed in accordance with the PRISMA guidelines [11] and is registered with the PROSPERO database (CRD42018088260) [12]. We collaborated with a research librarian (LL) to develop an appropriate search strategy and management of the literature review.

Data sources and search strategy

We performed a literature search of PubMed, Embase, and Scopus from inception to November 4, 2018, using a combination of keywords and database-specific subject headings to capture studies done in an orthopedic setting and/or procedures that reported a PROMIS measure as an outcome (Additional file 1). We added search filters to exclude case studies or reports, editorials, letters to the editor, and studies not written in English.

Inclusion and exclusion criteria

Inclusion criteria included the use of PROMIS measures in studies conducted in orthopedic settings for clinical care purposes or studies that used PROMIS measures to assess an outcome from an orthopedic intervention. Our exclusion criteria were study population < 18 years of age; non-orthopedic interventions, settings, or providers performing the intervention; and qualitative studies, commentaries, or systematic reviews. All included studies were peer-reviewed, reported at least one PROMIS measure, and used an experimental, quasi-experimental, or observational design. Two authors screened articles (MH and SZG) and a third author (ER) resolved any conflicts.

Study selection and data extraction

After databases were searched, titles and abstracts of studies were uploaded into Covidence, a systematic review management software [13]. The article selection process was done in two phases. In the first phase, two authors (MH and SZG) performed independent reviews of titles and abstracts in Covidence using the predefined inclusion and exclusion criteria. Articles were moved to full-text review if one or both authors found the article potentially relevant. In the second phase, the same two authors independently reviewed full-text articles for eligibility. Any conflicts were resolved by the third author.

Data analysis

Included studies were evaluated from November 2018 to June 2020. The primary purpose of this review was to describe the uptake of PROMIS measures in orthopedic research and practice through qualitative synthesis, and then rate the quality of included studies. Therefore, we did not perform a meta-analysis of data. For the qualitative synthesis, we described the studies by publication year, clinical population, study type, and sample size. We evaluated the reporting of PROMIS measures by recording the PRO domains reported in each study and the type of PROMIS measures used (i.e., domain-specific fixed short forms, multiple domain profile short forms, or CAT). Last, we described the frequency in which PROMIS measures were reported alongside traditional measures by the clinical population. Traditional measures are non-PROMIS established measures used in orthopedics.

Quality assessment

We used the Newcastle-Ottawa Scale (NOS) to assess the quality of included studies (Additional file 2). Because this review included a heterogeneous group of studies with a wide variety of methodologies, there is likely no single risk of bias tool to perfectly evaluate study quality across such a diverse group. The NOS was developed to assess the quality of nonrandomized studies, and evaluates studies within three domains: the selection of study groups, the comparability between these groups, and the determination of the outcome of interest. We used a version of the NOS specifically adapted for cross-sectional studies [14] and for case control and cohort studies [15]. The NOS scoring of seven or more stars is generally considered high quality, though no ranges have been officially reported in the literature [16].

Results

Our preliminary search yielded 1046 citations, and after duplicates were removed, 513 citations were reviewed by their titles and abstracts. Of those, 376 were moved forward to the full-text review stage, and 88 articles remained for inclusion in the systematic review [3, 17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103] (Fig. 1). After conflicts were resolved by the third author, we calculated an 81.6% agreement between the authors performing full-text review.

Fig. 1
figure 1

PRISMA literature flow diagram [11]

Study characteristics

Table 1 shows the characteristics of included studies by year, clinical population, study type, and sample size.

Table 1 Study characteristics

Year

Studies included in this review were published from 2013 through 2018. The number of publications reporting PROMIS measures notably increased across time: 2013 (1%, 1 study), 2014 (7%, 6 studies), 2015 (6%, 5 studies), 2016 (13%, 11 studies), 2017 (17%, 15 studies). The majority of studies were published in 2018 (57%, 50 studies).

Clinical population

PROMIS measures were reported in orthopedic studies across multiple clinical populations. For reporting, we grouped the studies by body region rather than specific diagnosis. The majority of studies (36%, 32 studies) reported PROMIS measures in lower extremity disorders (hip, knee, ankle, foot), followed by upper extremity disorders (shoulder, elbow, hand) (28%, 25 studies), spine disorders (19%, 17 studies), orthopedic trauma (10%, 9 studies). Few studies (6%, 5 studies) reported PROMIS measures in general orthopedic patients.

Study type and sample size

The studies in this review varied in the study design used to assess outcomes. The largest percentage of studies were cohort studies (59%, 52 studies). Most of these were prospective observational designs (38%, 33 studies), and 22% (19 studies) were retrospective observational designs. Many studies (41%, 36 studies) used a cross-sectional study design to analyze the psychometric properties of PROMIS or to validate in a patient population. No randomized controlled trials were reported using PROMIS measures as an outcome measure. Sample sizes in the studies ranged from 11 patients to 14,679 patients, with 133 patients as the median number reported. Five studies included patients from registries including the American Orthopedic Foot and Ankle Society’s National Orthopedic Foot and Ankle Research Outcomes Network and the Maryland Orthopedic Registry.

Reporting of PROMIS measures

The most frequently reported PROMIS domains in the studies included in this review were physical function (81%, 71 studies), pain interference (61%, 54 studies), depression (31%, 28 studies), physical function-upper extremity (18%, 16 studies), physical function-lower extremity (3%, 3 studies), and anxiety (15%, 13 studies) (Table 2). Most studies (75%, 66 studies) reported more than one PROMIS domain. Approximately a third of studies (32%, studies) reported two PROMIS domains, 25% (22 studies) reported three PROMIS domains, 9% (8 studies) reported four PROMIS domains, and the remainder (9%, 8 studies) reported between 5 and 9 PROMIS domains. Only a quarter (25%, 22 studies) reported one PROMIS domain. Of the type of PROMIS instrument used (i.e., CAT, short form, or profile), the vast majority of studies (81%, 71 studies) reported using the PROMIS CAT approach. A small percentage of studies reported only fixed-length instruments (15%, 13 studies) and (4%, 4 studies) reported a combination of CAT and fixed-length questionnaires.

Table 2 Reporting of PROMIS measures

PROMIS and traditional PROs

Fourteen studies in this review reported PROMIS as the sole outcome measure. Of those 14 studies, 9 were published in 2018 alone. Widely reported traditional measures were reported alongside PROMIS measures in all studies. Traditional measures included measuring the constructs of pain, disability, psychosocial comorbidity, and quality of life. Table 3 describes the reporting of traditional measures alongside PROMIS measures by body region.

Table 3 PROMIS domains and traditional PROs by body region

Quality of studies and risk of bias

A majority of studies assessed had a low risk of bias. All cohort and cross-sectional studies scored seven or above in their respective versions of the NOS quality assessment tool, and, with one exception, all case-control studies scored eight or above. Table 4 describes the risk of bias summary for individual studies included in this review, and Additional file 2 contains detailed results of the quality assessment.

Table 4 Risk of bias summary table

Discussion

In this review, we evaluated the uptake of PROMIS measures in orthopedic research and practice by describing how PROMIS measures were reported in published studies. The number of studies reporting the use of PROMIS measures increased exponentially from 2013 through 2017, with a spike in studies reporting PROMIS measures in 2018 alone (57% of total studies). This large increase in studies potentially indicates that PROMIS measures are being more widely adopted within orthopedic research and practice as an outcome measure. This increase may be due to the evolution of PROMIS measures from the short form, fixed instrument to the CAT instrument. Additionally, progress has been made with the availability and integration of PROMIS measures into Electronic Health Record (EHR) systems, allowing easier use of PROMIS CAT in the clinical setting [104, 105]. However, in relation to the increase in reporting of PROMIS measures in the literature, the vast majority of studies in our review reported the use of traditional measures alongside PROMIS measures [106]. This finding supports that, while PROMIS measures are gaining traction within orthopedics, researchers and clinicians may not be ready to abandon traditional measures in favor of PROMIS measures, despite evidence that the PROMIS domains of physical function and pain interference outperform traditional measures [107]. The reasons for this hesitancy may be related to familiarity with traditional measures, participation in registries that do not have PROMIS measures as part of the core set of measures, or a perceived lack of applicability in their patient populations. However, it may be noted that any new PRO measure should be considered experimental; thus, established measures are included both for validation purposes and to gain more understanding of how they relate to each other.

Our review also found that the use of PROMIS measures across clinical populations varied, with 37% of studies examining lower extremity conditions, followed by upper extremity (28%) and spine conditions (19%). This finding is consistent with the supporting literature where the use of PROMIS measures in lower, upper, and spine is increasing as a primary measure across clinical populations [1, 4, 108]. Last, most studies in our review reported the use of CAT-based assessments as the PROMIS assessment type. This finding is not surprising, as the primary benefits of the PROMIS CAT measures are the decrease in patient burden and the precision of the estimate. The majority of studies reported between one and three PROMIS domains. Unsurprisingly, the most commonly reported PROMIS domains were physical function and pain interference, which are validated and compared to many traditional measures. Of the psychological domains, depression was reported more frequently than anxiety. While the field of orthopedics is focused on improved functioning and reduced pain, we would encourage a more holistic view of the patient by incorporating more psychological constructs that may affect patient prognosis. This review provides evidence that the prevalence and support for use of PROMIS measures is growing in orthopedics and that PROMIS is being recognized as a PRO measure of choice for clinical trials [109].

Limitations

Our systematic review has some limitations. First, we aimed to describe the prevalence and use of PROMIS measures within orthopedic practice and research rather than to compare outcomes or exposures in the studies. Our review had broad inclusion criteria, and thus there was high variability, with study designs often considered less rigorous. The majority of studies were retrospective and prospective cohort studies. No studies in our review were randomized clinical trials; however, this is likely because of the relative unavailability of PROMIS measures until recently. It will take some time before clinical trials that use PROMIS measures as endpoints are published.

Second, we reported on the PROMIS domains but did not perform meta-analyses to examine the effects of treatment or compare the performance of PROMIS measures with other reported measures. Last, many studies included in the review examined the reliability and validity of PROMIS measures in orthopedic populations, so the studies that reported PROMIS measures as the primary outcomes were less frequent, potentially leading to the impression that there is a higher prevalence of reporting PROMIS measures in the literature.

Conclusions

PROMIS measures have been increasingly reported in orthopedic research and practice and present a new era of PRO measurement for clinical practice and scientific dissemination. Our findings are relevant for orthopedic researchers and clinicians who are using, or considering using, PROMIS measures. Our findings can provide guidance for stakeholders about the selection and administration of PRO measures, supporting value-based decisions both in clinics and prostheses procurement [110]. The domains of physical function and pain interference are the most commonly reported PROMIS domains, and these measure similar constructs to the traditional, body region-specific measures. Considerations about which PROMIS measures to administer in clinical populations should be made by determining what constructs are most important and whether PROMIS measures are sufficient alone or if traditional measures are needed to supplement the PROMIS measures. Given the evidence for the validity and reliability of PROMIS in orthopedics, we expect a decrease in the use of other established PRO measures in order to reduce respondent burden.

The implications for future research and practice in orthopedics support that PROMIS measures are versatile, reliable, and valid for orthopedic research and practice. Further, PROMIS measures provide distinct advantages over traditional measures, particularly, when the study population is heterogeneous. Multiple recent studies indicate that widespread variability exists in the particular PROs used in studies of the same diagnosis, thereby significantly limiting the translatability of many of these high-impact studies [6, 8, 111, 112]. Future research on the use of PROMIS measures in orthopedics should focus on the use of PROMIS measures as the primary outcome measure, particularly in studies that examine heterogeneous patient populations. Last, PROMIS measures hold immense potential for improving patient and provider communication, particularly across specialties.

Availability of data and materials

A limited data set with fields reported in this paper is available upon request via email to the corresponding author, with no limitations on the reuse of the data.

References

  1. Jones RS, Stukenborg GJ. Patient-Reported Outcomes Measurement Information System (PROMIS) use in surgical care: a scoping study. J Am Coll Surg. 2017;224(3):245–54.e1. https://doi.org/10.1016/j.jamcollsurg.2016.11.015.

    Article  PubMed  Google Scholar 

  2. Nelson EC, Eftimovska E, Lind C, Hager A, Wasson JH, Lindblad S. Patient reported outcome measures in practice. BMJ. 2015;350:g7818. https://doi.org/10.1136/bmj.g7818.

    Article  PubMed  Google Scholar 

  3. Hung M, Stuart AR, Higgins TF, Saltzman CL, Kubiak EN. Computerized adaptive testing using the PROMIS physical function item bank reduces test burden with less ceiling effects compared with the short musculoskeletal function assessment in orthopaedic trauma patients. 2014;28:J Orthopaedic Trauma, 439–43. https://doi.org/10.1097/bot.0000000000000059.

  4. Brodke DJ, Saltzman CL, Brodke DS. PROMIS for orthopaedic outcomes measurement. J Am Acad Orthop Surg. 2016;24(11):744–9. https://doi.org/10.5435/JAAOS-D-15-00404.

    Article  PubMed  Google Scholar 

  5. Ader DN. Developing the Patient-Reported Outcomes Measurement Information System (PROMIS). Med Care. 2007;45:S1–2. https://doi.org/10.1097/01.mlr.0000260537.45076.74.

    Article  Google Scholar 

  6. Cella D, Gershon R, Lai J-S, Choi S. The future of outcomes measurement: item banking, tailored short-forms, and computerized adaptive assessment. Qual Life Res. 2007;16(Suppl 1):133–41. https://doi.org/10.1007/s11136-007-9204-6.

    Article  PubMed  Google Scholar 

  7. Gulledge CM, Lizzio VA, Smith DG, Guo E, Makhni EC. What are the floor and ceiling effects of patient-reported outcomes measurement information system computer adaptive test domains in orthopaedic patients? A systematic review. Arthroscopy. 2020. https://doi.org/10.1016/j.arthro.2019.09.022.

  8. Makhni EC, Meadows M, Hamamoto JT, Higgins JD, Romeo AA, Verma NN. Patient Reported Outcomes Measurement Information System (PROMIS) in the upper extremity: the future of outcomes reporting? J Shoulder Elbow Surg [Internet]. 2017 Feb;26(2):352–7. https://doi.org/10.1016/j.jse.2016.09.054.

    Article  PubMed  Google Scholar 

  9. Finkelstein JA, Schwartz CE. Patient-reported outcomes in spine surgery: past, current, and future directions. J Neurosurg Spine. 2019;31(2):155–64. https://doi.org/10.3171/2019.1.SPINE18770.

    Article  PubMed  Google Scholar 

  10. Hunt KJ, Lakey E. Patient-reported outcomes in foot and ankle surgery. Orthop Clin North Am [Internet]. 2018;49(2):277–89. https://doi.org/10.1016/j.ocl.2017.11.014.

    Article  PubMed  Google Scholar 

  11. Moher D, Liberati A, Tetzlaff J, Altman DG. The PRISMA Group. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement. PLoS Med. 2009;6:e1000097. https://doi.org/10.1371/journal.pmed.1000097.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Sideri S, Papageorgiou SN, Eliades T. Registration in the international prospective register of systematic reviews (PROSPERO) of systematic review protocols was associated with increased review quality. J Clin Epidemiol. 2018;100:103–10. https://doi.org/10.1016/j.jclinepi.2018.01.003.

    Article  PubMed  Google Scholar 

  13. Innovation VH. Covidence systematic review software. Veritas Health Innovation Melbourne, VIC; 2017.

    Google Scholar 

  14. Modesti PA, Reboldi G, Cappuccio FP, Agyemang C, Remuzzi G, Rapi S, et al. Panethnic differences in blood pressure in Europe: a systematic review and meta-analysis. PLoS One. 2016;11(1):e0147601. https://doi.org/10.1371/journal.pone.0147601.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol. 2010;25:603–5. https://doi.org/10.1007/s10654-010-9491-z.

    Article  PubMed  Google Scholar 

  16. Islam MM, Iqbal U, Walther B, Atique S, Dubey NK, Nguyen P-A, et al. Benzodiazepine use and risk of dementia in the elderly population: a systematic review and meta-analysis. Neuroepidemiology. 2016;47(3-4):181–91. https://doi.org/10.1159/000454881.

    Article  PubMed  Google Scholar 

  17. Hung M, Baumhauer JF, Latt LD, Saltzman CL, SooHoo NF, Hunt KJ, et al. Validation of PROMIS ® physical function computerized adaptive tests for orthopaedic foot and ankle outcome research. Clin Orthop Relat Res. 2013;471(11):3466–74. https://doi.org/10.1007/s11999-013-3097-1.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Hung M, Baumhauer JF, Brodsky JW, Cheng C, Ellis SJ, Franklin JD, et al. Psychometric comparison of the PROMIS physical function CAT with the FAAM and FFI for measuring patient-reported outcomes. Foot Ankle Int [Internet]. 2014;35(6):592–9. https://doi.org/10.1177/1071100714528492.

    Article  PubMed  Google Scholar 

  19. Hung M, Franklin JD, Hon SD, Cheng C, Conrad J, Saltzman CL. Time for a paradigm shift with computerized adaptive testing of general physical function outcomes measurements. Foot Ankle Int. 2014;35(1):1–7. https://doi.org/10.1177/1071100713507905.

    Article  PubMed  Google Scholar 

  20. Hunt KJ, Alexander I, Baumhauer J, Brodsky J, Chiodo C, Daniels T, et al. The Orthopaedic Foot and Ankle Outcomes Research (OFAR) network: feasibility of a multicenter network for patient outcomes assessment in foot and ankle. Foot Ankle Int. 2014;35(9):847–54. https://doi.org/10.1177/1071100714544157.

    Article  PubMed  Google Scholar 

  21. Papuga MO, Beck CA, Kates SL, Schwarz EM, Maloney MD. Validation of GAITRite and PROMIS as high-throughput physical function outcome measures following ACL reconstruction. J Orthop Res. 2014;32(6):793–801. https://doi.org/10.1002/jor.22591.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Tyser AR, Beckmann J, Franklin JD, Cheng C, Hon SD, Wang A, et al. Evaluation of the PROMIS physical function computer adaptive test in the upper extremity. J Hand Surg Am. 2014;39(10):2047–51.e4. https://doi.org/10.1016/j.jhsa.2014.06.130.

    Article  PubMed  Google Scholar 

  23. Mellema JJ, O’Connor CM, Overbeek CL, Hageman MG, Ring D. The effect of feedback regarding coping strategies and illness behavior on hand surgery patient satisfaction and communication: a randomized controlled trial. Hand. 2015;10(3):503–11. https://doi.org/10.1007/s11552-015-9742-2.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Beckmann JT, Hung M, Bounsanga J, Wylie JD, Granger EK, Tashjian RZ. Psychometric evaluation of the PROMIS Physical Function Computerized Adaptive Test in comparison to the American Shoulder and Elbow Surgeons score and Simple Shoulder Test in patients with rotator cuff disease. J Shoulder Elbow Surg. 2015;24(12):1961–7. https://doi.org/10.1016/j.jse.2015.06.025.

    Article  PubMed  Google Scholar 

  25. Morgan JH, Kallen MA, Okike K, Lee OC, Vrahas MS. 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. J Orthop Trauma. 2015;29(6):257–63. https://doi.org/10.1097/BOT.0000000000000280.

    Article  PubMed  Google Scholar 

  26. Stuart AR, Higgins TF, Hung M, Weir CR, Kubiak EN, Rothberg DL, et al. Reliability in measuring preinjury physical function in orthopaedic trauma. J Orthop Trauma. 2015;29(12):527–32. https://doi.org/10.1097/BOT.0000000000000392.

    Article  PubMed  Google Scholar 

  27. Fuchs DJ, Ho BS, LaBelle MW, Kelikian AS. Effect of arthroscopic evaluation of acute ankle fractures on PROMIS intermediate-term functional outcomes. Foot Ankle Int. 2016;37(1):51–7. https://doi.org/10.1177/1071100715597657.

    Article  PubMed  Google Scholar 

  28. Ho B, Houck JR, Flemister AS, Ketz J, Oh I, DiGiovanni BF, et al. Preoperative PROMIS scores predict postoperative success in foot and ankle patients. Foot Ankle Int. 2016;37(9):911–8. https://doi.org/10.1177/1071100716665113.

    Article  PubMed  Google Scholar 

  29. Beckmann JT, Hung M, Voss MW, Crum AB, Bounsanga J, Tyser AR. Evaluation of the patient-reported outcomes measurement information system upper extremity computer adaptive test. J Hand Surg Am. 2016;41(7):739–44.e4. https://doi.org/10.1016/j.jhsa.2016.04.025.

    Article  PubMed  Google Scholar 

  30. Nota SPFT, Spit SA, Oosterhoff TCH, Hageman MGJS, Ring DC, Vranceanu A-M. Is social support associated with upper extremity disability? Clin Orthop Relat Res. 2016;474(8):1830–6. https://doi.org/10.1007/s11999-016-4892-2.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Parrish RC 2nd, Menendez ME, Mudgal CS, Jupiter JB, Chen NC, Ring D. Patient satisfaction and its relation to perceived visit duration with a hand surgeon. J Hand Surg Am. 2016;41(2):257–62.e1–4. https://doi.org/10.1016/j.jhsa.2015.11.015.

    Article  PubMed  Google Scholar 

  32. Peters RM, Menendez ME, Mellema JJ, Ring D, Vranceanu A-M. Sleep disturbance and upper-extremity disability. Arch Bone Jt Surg. 2016;4(1):35–40 Available from: https://www.ncbi.nlm.nih.gov/pubmed/26894216.

    PubMed  PubMed Central  Google Scholar 

  33. Dasa V, Lensing G, Parsons M, Harris J, Volaufova J, Bliss R. Percutaneous freezing of sensory nerves prior to total knee arthroplasty. Knee. 2016;23(3):523–8. https://doi.org/10.1016/j.knee.2016.01.011.

    Article  PubMed  Google Scholar 

  34. Oak SR, Strnad GJ, Bena J, Farrow LD, Parker RD, Jones MH, et al. Responsiveness comparison of the EQ-5D, PROMIS Global Health, and VR-12 Questionnaires in knee arthroscopy. Orthop J Sports Med. 2016;4(12):2325967116674714. https://doi.org/10.1177/2325967116674714.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Papuga MO, Mesfin A, Molinari R, Rubery PT. Correlation of PROMIS physical function and pain CAT instruments with Oswestry Disability Index and Neck Disability Index in spine patients. Spine. 2016;41(14):1153–1159. doi: https://doi.org/10.1097/BRS.0000000000001518.

  36. van Leeuwen WF, van der Vliet QMJ, Janssen SJ, Heng M, Ring D, Vranceanu A-M. Does perceived injustice correlate with pain intensity and disability in orthopaedic trauma patients? Injury. 2016;47(6):1212–6. https://doi.org/10.1016/j.injury.2016.02.018.

    Article  PubMed  Google Scholar 

  37. Hermanussen HH, Menendez ME, Chen NC, Ring D, Vranceanu A-M. Predictors of upper-extremity physical function in older adults. Arch Bone Jt Surg. 2016;4(4):359–65 Available from: https://www.ncbi.nlm.nih.gov/pubmed/27847850.

    PubMed  PubMed Central  Google Scholar 

  38. Koltsov JCB, Greenfield ST, Soukup D, Do HT, Ellis SJ. Validation of patient-reported outcomes measurement information system computerized adaptive tests against the foot and ankle outcome score for 6 common foot and ankle pathologies. Foot Ankle Int. 2017;38(8):870–8. https://doi.org/10.1177/1071100717709573.

    Article  PubMed  Google Scholar 

  39. Nixon DC, McCormick JJ, Johnson JE, Klein SE. PROMIS pain interference and physical function scores correlate with the Foot and Ankle Ability Measure (FAAM) in patients with hallux valgus. Clin Orthop Relat Res. 2017;475(11):2775–80. https://doi.org/10.1007/s11999-017-5476-5.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Oh Y, Drijkoningen T, Menendez ME, Claessen FMAP, Ring D. The influence of psychological factors on the Michigan Hand Questionnaire. Hand. 2017 Mar;12(2):197–201. https://doi.org/10.1177/1558944716642765.

    Article  PubMed  Google Scholar 

  41. Beleckas CM, Padovano A, Guattery J, Chamberlain AM, Keener JD, Calfee RP. Performance of Patient-Reported Outcomes Measurement Information System (PROMIS) upper extremity (UE) versus physical function (PF) computer adaptive tests (CATs) in upper extremity clinics. J Hand Surg Am. 2017;42(11):867–74. https://doi.org/10.1016/j.jhsa.2017.06.012.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Sheean AJ, Schmitz MR, Ward CL, Barrow AE, Tennent DJ, Roach CJ, et al. Assessment of disability related to femoroacetabular impingement syndrome by use of the Patient-Reported Outcome Measure Information System (PROMIS) and objective measures of physical performance. Am J Sports Med [Internet]. 2017 Sep;45(11):2476–82. https://doi.org/10.1177/0363546517708793.

    Article  PubMed  Google Scholar 

  43. Hancock KJ, Glass N, Anthony CA, Hettrich CM, Albright J, Amendola A, et al. Performance of PROMIS for healthy patients undergoing meniscal surgery. J Bone Joint Surg Am. 2017 Jun 7;99(11):954–8. https://doi.org/10.2106/JBJS.16.00848.

    Article  PubMed  Google Scholar 

  44. Hung M, Saltzman CL, Greene T, Voss MW, Bounsanga J, Gu Y, et al. Evaluating instrument responsiveness in joint function: the HOOS JR, the KOOS JR, and the PROMIS PF CAT. J Orthop Res. 2018;36(4):1178–84. https://doi.org/10.1002/jor.23739.

    Article  PubMed  Google Scholar 

  45. Anthony CA, Glass N, Hancock K, Bollier M, Hettrich CM, Wolf BR. Preoperative performance of the patient-reported outcomes measurement information system in patients with rotator cuff pathology. Arthroscopy. 2017;33(10):1770–4.e1. https://doi.org/10.1016/j.arthro.2017.04.018.

    Article  PubMed  Google Scholar 

  46. Anthony CA, Glass NA, Hancock K, Bollier M, Wolf BR, Hettrich CM. Performance of PROMIS instruments in patients with shoulder instability. Am J Sports Med. 2017;45(2):449–53. https://doi.org/10.1177/0363546516668304.

    Article  PubMed  Google Scholar 

  47. Dowdle SB, Glass N, Anthony CA, Hettrich CM. Use of PROMIS for patients undergoing primary total shoulder arthroplasty. Orthop J Sports Med. 2017;5(9):2325967117726044. https://doi.org/10.1177/2325967117726044.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Owen RJ, Zebala LP, Peters C, McAnany S. PROMIS physical function correlation with NDI and mJOA in the surgical cervical myelopathy patient population. Spine [Internet]. 2018;43(8):550–5. https://doi.org/10.1097/BRS.0000000000002373.

    Article  PubMed  Google Scholar 

  49. Purvis TE, Andreou E, Neuman BJ, Riley LH 3rd, Skolasky RL. Concurrent validity and responsiveness of PROMIS health domains among patients presenting for anterior cervical spine surgery. Spine. 2017;42(23):E1357–65. https://doi.org/10.1097/BRS.0000000000002347.

    Article  PubMed  Google Scholar 

  50. Kleimeyer JP, Wood KB, Lønne G, Herzog T, Ju K, Beyer L, et al. Surgery for refractory coccygodynia: operative versus nonoperative treatment. Spine. 2017;42(16):1214–9. https://doi.org/10.1097/BRS.0000000000002053.

    Article  PubMed  Google Scholar 

  51. Merrill RK, Zebala LP, Peters C, Qureshi SA, McAnany SJ. Impact of depression on patient-reported outcome measures after lumbar spine decompression. Spine. 2018;43(6):434–9. https://doi.org/10.1097/BRS.0000000000002329.

    Article  PubMed  Google Scholar 

  52. Kaat AJ, Rothrock NE, Vrahas MS, OʼToole RV, Buono SK, Zerhusen T Jr, et al. Longitudinal validation of the PROMIS physical function item bank in upper extremity trauma. J Orthop Trauma [Internet]. 2017 Oct;31(10):e321–6. https://doi.org/10.1097/BOT.0000000000000924.

    Article  PubMed  Google Scholar 

  53. Henn RF 3rd, Dubina AG, Jauregui JJ, Smuda MP, Tracy JK. The Maryland Orthopaedic Registry (MOR): design and baseline characteristics of a prospective registry. J Clin Orthop Trauma. 2017;8(4):301–7. https://doi.org/10.1016/j.jcot.2017.04.003.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Kazmers NH, Hung M, Rane AA, Bounsanga J, Weng C, Tyser AR. Association of physical function, anxiety, and pain interference in nonshoulder upper extremity patients using the PROMIS platform. J Hand Surg Am [Internet]. 2017;42(10):781–7. https://doi.org/10.1016/j.jhsa.2017.05.008.

    Article  PubMed  PubMed Central  Google Scholar 

  55. St John MJ, Mitten D, Hammert WC. Efficacy of PROMIS pain interference and Likert pain scores to assess physical function. J Hand Surg Am. 2017;42(9):705–10. https://doi.org/10.1016/j.jhsa.2017.06.004.

    Article  PubMed  Google Scholar 

  56. Boody BS, Bhatt S, Mazmudar AS, Hsu WK, Rothrock NE, Patel AA. Validation of Patient-Reported Outcomes Measurement Information System (PROMIS) computerized adaptive tests in cervical spine surgery. J Neurosurg Spine. 2018;28(3):268–79. https://doi.org/10.3171/2017.7.SPINE17661.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Stoop N, Menendez ME, Mellema JJ, Ring D. The PROMIS Global Health Questionnaire correlates with the QuickDASH in patients with upper extremity illness. Hand. 2018;13(1):118–21. https://doi.org/10.1177/1558944717691127.

    Article  PubMed  Google Scholar 

  58. Beleckas CM, Wright M, Prather H, Chamberlain A, Guattery J, Calfee RP. Relative prevalence of anxiety and depression in patients with upper extremity conditions. J Hand Surg Am. 2018;43(6):571.e1–8. https://doi.org/10.1016/j.jhsa.2017.12.006.

    Article  Google Scholar 

  59. Fischerauer SF, Talaei-Khoei M, Vissers FL, Chen N, Vranceanu A-M. Pain anxiety differentially mediates the association of pain intensity with function depending on level of intolerance of uncertainty. J Psychiatr Res. 2018;97:30–7. https://doi.org/10.1016/j.jpsychires.2017.11.006.

    Article  PubMed  Google Scholar 

  60. Hung M, Voss MW, Bounsanga J, Gu Y, Granger EK, Tashjian RZ. Psychometrics of the Patient-Reported Outcomes Measurement Information System Physical Function instrument administered by computerized adaptive testing and the Disabilities of Arm, Shoulder and Hand in the orthopedic elbow patient population. J Shoulder Elbow Surg. 2018;27(3):515–22. https://doi.org/10.1016/j.jse.2017.10.015.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Haskell A, Kim T. Implementation of Patient-Reported Outcomes Measurement Information System data collection in a private orthopedic surgery practice. Foot Ankle Int [Internet]. 2018 May;39(5):517–21. https://doi.org/10.1177/1071100717753967.

    Article  PubMed  Google Scholar 

  62. Vincent HK, Hagen JE, Zdziarski-Horodyski LA, Patrick M, Sadasivan KK, Guenther R, et al. Patient-Reported Outcomes Measurement Information System outcome measures and mental health in orthopaedic trauma patients during early recovery. J Orthop Trauma. 2018 Sep;32(9):467–73. https://doi.org/10.1097/BOT.0000000000001245.

    Article  PubMed  Google Scholar 

  63. Schwartz CE, Zhang J, Rapkin BD, Finkelstein JA. Reconsidering the minimally important difference: evidence of instability over time and across groups. Spine J. 2019;19(4):726–34. https://doi.org/10.1016/j.spinee.2018.09.010.

    Article  PubMed  Google Scholar 

  64. Rubery PT, Houck J, Mesfin A, Molinari R, Papuga MO. Preoperative Patient Reported Outcomes Measurement Information System scores assist in predicting early postoperative success in lumbar discectomy. Spine [Internet]. 2019;44(5):325–33. https://doi.org/10.1097/BRS.0000000000002823.

    Article  PubMed  Google Scholar 

  65. Raad M, Jain A, Huang M, Skolasky RL, Sciubba DM, Kebaish KM, et al. Validity and responsiveness of PROMIS in adult spinal deformity: the need for a self-image domain. Spine J. 2019 Jan;19(1):50–5. https://doi.org/10.1016/j.spinee.2018.07.014.

    Article  PubMed  Google Scholar 

  66. Purvis TE, Neuman BJ, Riley LH 3rd, Skolasky RL. Discriminant ability, concurrent validity, and responsiveness of PROMIS health domains among patients with lumbar degenerative disease undergoing decompression with or without arthrodesis. Spine. 2018;43(21):1512–20. https://doi.org/10.1097/BRS.0000000000002661.

    Article  PubMed  Google Scholar 

  67. Patton RS, Runner RP, Lyons RJ, Bradbury TL. Clinical outcomes of patients with lateral femoral cutaneous nerve injury after direct anterior total hip arthroplasty. J Arthroplasty. 2018;33(9):2919–26.e1. https://doi.org/10.1016/j.arth.2018.04.032.

    Article  PubMed  Google Scholar 

  68. Patterson BM, Orvets ND, Aleem AW, Keener JD, Calfee RP, Nixon DC, et al. Correlation of Patient-Reported Outcomes Measurement Information System (PROMIS) scores with legacy patient-reported outcome scores in patients undergoing rotator cuff repair. J Shoulder Elbow Surg. 2018;27(6S):S17–23. https://doi.org/10.1016/j.jse.2018.03.023.

    Article  PubMed  Google Scholar 

  69. Patel AA, Dodwad S-NM, Boody BS, Bhatt S, Savage JW, Hsu WK, et al. Validation of Patient Reported Outcomes Measurement Information System (PROMIS) computer adaptive tests (CATs) in the surgical treatment of lumbar spinal stenosis. Spine. 2018;43(21):1521–8. https://doi.org/10.1097/BRS.0000000000002648.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Nixon DC, Cusworth BM, McCormick JJ, Johnson JE, Klein SE. Patient-reported allergies do not predict poorer PROMIS function, pain, and depression scores following foot and ankle surgery. Foot Ankle Int. 2018;39(8):949–53. https://doi.org/10.1177/1071100718769667.

    Article  PubMed  Google Scholar 

  71. Meredith SJ, Nadarajah V, Jauregui JJ, Smuda MP, Medina SH, Bennett CH, et al. Preoperative opioid use in knee surgery patients. J Knee Surg. 2019;32(7):630–6. https://doi.org/10.1055/s-0038-1666868.

    Article  PubMed  Google Scholar 

  72. Medina SH, Nadarajah V, Jauregui JJ, Smuda MP, Foster M, Meredith SJ, et al. Orthopaedic surgery patients who use recreational marijuana have less pre-operative pain. Int Orthop. 2019;43(2):283–92. https://doi.org/10.1007/s00264-018-4101-x.

    Article  PubMed  Google Scholar 

  73. Kootstra TJM, Wilkens SC, Menendez ME, Ring D. Is physician empathy associated with differences in pain and functional limitations after a hand surgeon visit? Clin Orthop Relat Res. 2018 Apr;476(4):801–7. https://doi.org/10.1007/s11999.0000000000000077.

    Article  PubMed  PubMed Central  Google Scholar 

  74. Kohring JM, Pelt CE, Anderson MB, Peters CL, Gililland JM. Press Ganey Outpatient Medical Practice Survey scores do not correlate with patient-reported outcomes after primary joint arthroplasty. J Arthroplasty. 2018;33(8):2417–22. https://doi.org/10.1016/j.arth.2018.03.044.

    Article  PubMed  Google Scholar 

  75. Kohring JM, Erickson JA, Anderson MB, Gililland JM, Peters CL, Pelt CE. Treated versus untreated depression in total joint arthroplasty impacts outcomes. J Arthroplasty. 2018;33(7S):S81–5. https://doi.org/10.1016/j.arth.2018.01.065.

    Article  PubMed  Google Scholar 

  76. Kleimeyer JP, Cheng I, Alamin TF, Hu SS, Cha T, Yanamadala V, et al. Selective anterior lumbar interbody fusion for low back pain associated with degenerative disc disease versus nonsurgical management. Spine. 2018;43(19):1372–80. https://doi.org/10.1097/BRS.0000000000002630.

    Article  PubMed  Google Scholar 

  77. Khechen B, Haws BE, Patel DV, Bawa MS, Elboghdady IM, Lamoutte EH, et al. PROMIS physical function score strongly correlates with legacy outcome measures in minimally invasive lumbar microdiscectomy. Spine. 2019;44(6):442–6. https://doi.org/10.1097/BRS.0000000000002841.

    Article  PubMed  Google Scholar 

  78. Karns MR, Jones DL, Todd DC, Maak TG, Aoki SK, Burks RT, et al. Patient- and procedure-specific variables driving total direct costs of outpatient anterior cruciate ligament reconstruction. Orthop J Sports Med. 2018;6(8):2325967118788543. https://doi.org/10.1177/2325967118788543.

    Article  PubMed  PubMed Central  Google Scholar 

  79. Kagan R, Anderson MB, Christensen JC, Peters CL, Gililland JM, Pelt CE. The recovery curve for the patient-reported outcomes measurement information system patient-reported physical function and pain interference computerized adaptive tests after primary total knee arthroplasty. J Arthroplasty. 2018;33(8):2471–4. https://doi.org/10.1016/j.arth.2018.03.020.

    Article  PubMed  Google Scholar 

  80. Kadri O, Jildeh TR, Meldau JE, Blanchett J, Borowsky P, Muh S, et al. How long does it take for patients to complete PROMIS scores?: an assessment of PROMIS CAT Questionnaires administered at an ambulatory sports medicine clinic. Orthop J Sports Med. 2018;6(8):2325967118791180. https://doi.org/10.1177/2325967118791180.

    Article  PubMed  PubMed Central  Google Scholar 

  81. Hung M, Saltzman CL, Voss MW, Bounsanga J, Kendall R, Spiker R, et al. Responsiveness of the Patient-Reported Outcomes Measurement Information System (PROMIS), Neck Disability Index (NDI) and Oswestry Disability Index (ODI) instruments in patients with spinal disorders. Spine J. 2019;19(1):34–40. https://doi.org/10.1016/j.spinee.2018.06.355.

    Article  PubMed  Google Scholar 

  82. Hung M, Saltzman CL, Kendall R, Bounsanga J, Voss MW, Lawrence B, et al. What Are the MCIDs for PROMIS, NDI, and ODI instruments among patients with spinal conditions? Clin Orthop Relat Res. 2018;476(10):2027–36. https://doi.org/10.1097/CORR.0000000000000419.

    Article  PubMed  PubMed Central  Google Scholar 

  83. Hung M, Bounsanga J, Voss MW, Saltzman CL. Establishing minimum clinically important difference values for the Patient-Reported Outcomes Measurement Information System Physical Function, hip disability and osteoarthritis outcome score for joint reconstruction, and knee injury and osteoarthritis outcome score for joint reconstruction in orthopaedics. World J Orthop. 2018;9(3):41–9. https://doi.org/10.5312/wjo.v9.i3.41.

    Article  PubMed  PubMed Central  Google Scholar 

  84. Hung M, Baumhauer JF, Licari FW, Voss MW, Bounsanga J, Saltzman CL. PROMIS and FAAM minimal clinically important differences in foot and ankle orthopedics. Foot Ankle Int [Internet]. 2019;40(1):65–73. https://doi.org/10.1177/1071100718800304.

    Article  PubMed  Google Scholar 

  85. Hung M, Baumhauer JF, Licari FW, Bounsanga J, Voss MW, Saltzman CL. Responsiveness of the PROMIS and FAAM instruments in foot and ankle orthopedic population. Foot Ankle Int. 2019;40(1):56–64. https://doi.org/10.1177/1071100718799758.

    Article  PubMed  Google Scholar 

  86. Haws BE, Khechen B, Guntin JA, Cardinal KL, Bohl DD, Singh K. Validity of PROMIS in minimally invasive transforaminal lumbar interbody fusion: a preliminary evaluation. J Neurosurg Spine. 2018;29(1):28–33. https://doi.org/10.3171/2017.11.SPINE17989.

    Article  PubMed  Google Scholar 

  87. Hancock KJ, Glass N, Anthony CA, Wolf BR, Hettrich CM, Albright J, et al. PROMIS: a valid and efficient outcomes instrument for patients with ACL tears. Knee Surg Sports Traumatol Arthrosc. 2019;27(1):100–4. https://doi.org/10.1007/s00167-018-5034-z.

    Article  PubMed  Google Scholar 

  88. Gausden EB, Levack AE, Sin DN, Nwachukwu BU, Fabricant PD, Nellestein AM, et al. Validating the Patient Reported Outcomes Measurement Information System (PROMIS) computerized adaptive tests for upper extremity fracture care. J Shoulder Elbow Surg. 2018;27(7):1191–7. https://doi.org/10.1016/j.jse.2018.01.014.

    Article  PubMed  Google Scholar 

  89. Gausden EB, Levack A, Nwachukwu BU, Sin D, Wellman DS, Lorich DG. Computerized adaptive testing for patient reported outcomes in ankle fracture surgery. Foot Ankle Int. 2018;39(10):1192–8. https://doi.org/10.1177/1071100718782487.

    Article  PubMed  PubMed Central  Google Scholar 

  90. Fram B, Wall LB, Gelberman RH, Goldfarb CA. Surgical transposition for chronic instability of the extensor carpi ulnaris tendon. J Hand Surg Eur Vol. 2018;43(9):925–30. https://doi.org/10.1177/1753193418773036.

    Article  PubMed  Google Scholar 

  91. Crijns TJ, Bernstein DN, Ring D, Gonzalez R, Wilbur D, Hammert WC. Factors associated with a discretionary upper-extremity surgery. J Hand Surg Am. 2019;44(2):155.e1–7. https://doi.org/10.1016/j.jhsa.2018.04.028.

    Article  Google Scholar 

  92. Chen RE, Papuga MO, Voloshin I, Nicandri GT, Goldblatt JP, Bronstein RD, et al. Preoperative PROMIS scores predict postoperative outcomes after primary ACL reconstruction. Orthop J Sports Med. 2018;6(5):2325967118771286. https://doi.org/10.1177/2325967118771286.

    Article  PubMed  PubMed Central  Google Scholar 

  93. Cavallero M, Rosales R, Caballero J, Virkus WW, Kempton LB, Gaski GE. Locking plate fixation in a series of bicondylar tibial plateau fractures raises treatment costs without clinical benefit. J Orthop Trauma. 2018;32(7):333–7. https://doi.org/10.1097/BOT.0000000000001188.

    Article  PubMed  Google Scholar 

  94. Bhatt S, Boody BS, Savage JW, Hsu WK, Rothrock NE, Patel AA. Validation of patient-reported outcomes measurement information system computer adaptive tests in lumbar disk herniation surgery. J Am Acad Orthop Surg. 2019;27(3):95–103. https://doi.org/10.5435/JAAOS-D-17-00300.

    Article  PubMed  PubMed Central  Google Scholar 

  95. Bernstein DN, Kelly M, Houck JR, Ketz JP, Flemister AS, DiGiovanni BF, et al. PROMIS pain interference is superior vs numeric pain rating scale for pain assessment in foot and ankle patients. Foot Ankle Int. 2019;40(2):139–44. https://doi.org/10.1177/1071100718803314.

    Article  PubMed  Google Scholar 

  96. Bernholt D, Wright RW, Matava MJ, Brophy RH, Bogunovic L, Smith MV. Patient reported outcomes measurement information system scores are responsive to early changes in patient outcomes following arthroscopic partial meniscectomy. Arthroscopy. 2018;34(4):1113–7. https://doi.org/10.1016/j.arthro.2017.10.047.

    Article  PubMed  Google Scholar 

  97. Beleckas CM, Prather H, Guattery J, Wright M, Kelly M, Calfee RP. Anxiety in the orthopedic patient: using PROMIS to assess mental health. Qual Life Res. 2018;27(9):2275–82. https://doi.org/10.1007/s11136-018-1867-7.

    Article  PubMed  PubMed Central  Google Scholar 

  98. Beleckas CM, Guattery J, Chamberlain AM, Khan T, Kelly MP, Calfee RP. Using Patient-reported Outcomes Measurement Information System measures to understand the relationship between improvement in physical function and depressive symptoms. J Am Acad Orthop Surg. 2018;26(24):e511–8. https://doi.org/10.5435/JAAOS-D-17-00039.

    Article  PubMed  PubMed Central  Google Scholar 

  99. Austin DC, Torchia MT, Moschetti WE, Jevsevar DS, Keeney BJ. Patient outcomes after total knee arthroplasty in patients older than 80 years. J Arthroplasty [Internet]. 2018;33(11):3465–73. https://doi.org/10.1016/j.arth.2018.07.012.

    Article  PubMed  Google Scholar 

  100. Anderson MR, Houck JR, Saltzman CL, Hung M, Nickisch F, Barg A, et al. Validation and generalizability of preoperative PROMIS scores to predict postoperative success in foot and ankle patients. Foot Ankle Int. 2018;39(7):763–70. https://doi.org/10.1177/1071100718765225.

    Article  PubMed  Google Scholar 

  101. Anderson MR, Baumhauer JF, DiGiovanni BF, Flemister S, Ketz JP, Oh I, et al. Determining success or failure after foot and ankle surgery using Patient Acceptable Symptom State (PASS) and Patient Reported Outcome Information System (PROMIS). Foot Ankle Int. 2018;39(8):894–902. https://doi.org/10.1177/1071100718769666.

    Article  PubMed  Google Scholar 

  102. Alvarez-Nebreda ML, Heng M, Rosner B, McTague M, Javedan H, Harris MB, et al. Reliability of proxy-reported Patient-reported Outcomes Measurement Information system physical function and pain interference responses for elderly patients with musculoskeletal injury. J Am Acad Orthop Surg. 2019;27(4):e156–65. https://doi.org/10.5435/JAAOS-D-17-00644.

    Article  PubMed  Google Scholar 

  103. Overbeek CL, Nota SPFT, Jayakumar P, Hageman MG, Ring D. The PROMIS physical function correlates with the QuickDASH in patients with upper extremity illness. Clin Orthop Relat Res. 2015;473(1):311–7. https://doi.org/10.1007/s11999-014-3840-2.

    Article  PubMed  Google Scholar 

  104. Wagner LI, Schink J, Bass M, Patel S, Diaz MV, Rothrock N, et al. Bringing PROMIS to practice: brief and precise symptom screening in ambulatory cancer care. Cancer. 2015;121(6):927–34. https://doi.org/10.1002/cncr.29104.

    Article  PubMed  Google Scholar 

  105. Cella D, Riley W, Stone A, Rothrock N, Reeve B, Yount S, 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(11):1179–94. https://doi.org/10.1016/j.jclinepi.2010.04.011.

    Article  PubMed  PubMed Central  Google Scholar 

  106. Fidai MS, Saltzman BM, Meta F, Lizzio VA, Stephens JP, Bozic KJ, et al. Patient-Reported Outcomes Measurement Information System and legacy patient-reported outcome measures in the field of orthopaedics: a systematic review. Arthroscopy. 2018;34:605–14. https://doi.org/10.1016/j.arthro.2017.07.030.

    Article  PubMed  Google Scholar 

  107. Brodke DS, Goz V, Voss MW, Lawrence BD, Spiker WR, Hung M. PROMIS PF CAT outperforms the ODI and SF-36 physical function domain in spine patients. Spine. 2017;42(12):921–9. https://doi.org/10.1097/BRS.0000000000001965.

    Article  PubMed  PubMed Central  Google Scholar 

  108. O’Hara NN, Richards JT, Overmann A, Slobogean GP, Klazinga NS. Is PROMIS the new standard for patient-reported outcomes measures in orthopaedic trauma research? Injury [Internet]; 2019. https://doi.org/10.1016/j.injury.2019.10.076.

    Book  Google Scholar 

  109. Shalhoub H, Reaney M. PROMIS® tools as endpoints in clinical trials: what should you know? A review of PROMIS® capabilities and the current regulatory space. Int J Clin Trials. 2016;3(4):174–9 Available from: http://www.ijclinicaltrials.com/index.php/ijct/article/view/146. [cited 2020 Jun 17].

    Article  Google Scholar 

  110. Pennestrì F, Lippi G, Banfi G. Pay less and spend more-the real value in healthcare procurement. Ann Transl Med. 2019;7(22):688. https://doi.org/10.21037/atm.2019.10.93.

    Article  PubMed  PubMed Central  Google Scholar 

  111. Makhni EC, Padaki AS, Petridis PD, Steinhaus ME, Ahmad CS, Cole BJ, et al. High variability in outcome reporting patterns in high-impact ACL literature. J Bone Joint Surg Am [Internet]. 2015;97(18):1529–42. https://doi.org/10.2106/JBJS.O.00155.

    Article  PubMed  Google Scholar 

  112. Galeoto G, Piepoli V, Ciccone E, Mollica R, Federici C, Magnifica F, et al. Musculoskeletal Health Questionnaire: translation, cultural adaptation and validation of the Italian version (MSK-HQ-I). Muscles Ligaments Tendons J (MLTJ). 2019;9(2). https://doi.org/10.32098/mltj.02.2019.20.

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Horn, M.E., Reinke, E.K., Couce, L.J. et al. Reporting and utilization of Patient-Reported Outcomes Measurement Information System® (PROMIS®) measures in orthopedic research and practice: a systematic review. J Orthop Surg Res 15, 553 (2020). https://doi.org/10.1186/s13018-020-02068-9

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