scholarly journals FAAM ADL Scores Correlate with PROMIS Physical Function, Pain Interference, and Depression Outcomes

2017 ◽  
Vol 2 (2) ◽  
pp. 2473011416S0001 ◽  
Author(s):  
Devon Nixon ◽  
Jeremy McCormick ◽  
Jeffrey Johnson ◽  
Sandra Klein
Keyword(s):  
Lower Extremity ◽  
Physical Function ◽  
Multivariate Analyses ◽  
Smoking Status ◽  
Outcome Measurement ◽  
Patient Reported Outcome ◽  
Pain Interference ◽  
Measurement Information ◽  
Significant Group ◽  
Patient Reported

Category: Midfoot/Forefoot Introduction/Purpose: Legacy patient-reported outcome instruments like the FAAM Activities of Daily Living (ADL) quantify patient disability but are often limited by responder burden and incomplete questionnaires. The Patient-Reported Outcome Measurement Information System (PROMIS) overcomes such obstacles through computer-adaptive technology to collect data on various health domains including Physical Function (PF), Pain Interference (PI), and Depression. Few reports, though, have examined PROMIS tools in lower extremity patients, and no study has examined PROMIS psychosocial outcomes like PI and Depression in foot and ankle conditions. We investigated the relationship between FAAM ADL and PROMIS measures, hypothesizing that FAAM ADL and PROMIS scores would correlate. Methods: All new patients with either a primary or secondary diagnosis of hallux valgus based on clinic billing codes from July, 2015 – February, 2016 were retrospectively identified. Patients with complete FAAM ADL paper-based surveys and electronic PROMIS questionnaires for PF, PI, and Depression were included. Spearman rho correlations were performed between FAAM ADL and PROMIS scores. Bivariate and multivariate analyses were then performed to identify differences in FAAM ADL and PROMIS PF measures based on select demographic variables (gender, comorbidities, marital status, employment status, prior foot and/or ankle surgery, and smoking status). Significant variables (P < 0.1) from bivariate and multivariate analyses were then entered into stepwise linear regressions to determine which variable(s) determined variance in FAAM ADL and PROMIS PF scores. Results: Eighty-five patients were identified (13 males, 72 females). FAAM scores significantly correlated with PROMIS PF (r = 0.70, P < 0.001), PI (r = 0.65, P < 0.001), and Depression (r = 0.35, P < 0.001) outcomes. Bivariate and multivariate analyses revealed significantly lower FAAM ADL scores in men (P = 0.02) and active smokers (P = 0.1). No significant group differences were detected for PROMIS PF scores (P > 0.1). Regression analyses demonstrated that PROMIS PI scores alone accounted for significant portions of the variance in FAAM ADL (R2 = 0.44, P < 0.001) and PROMIS PF (R2 = 0.57, P < 0.001) measures. Conclusion: PROMIS PF, PI, and Depression scores all correlated with FAAM ADL scores, highlighting the importance of understanding functional and psychosocial disability when assessing outcomes in lower extremity patients. Further, PROMIS PI results predicted significant portions of FAAM ADL and PROMIS PF scores, suggesting that function and pain are interrelated when measured by either traditional or modern outcomes instruments.

Generating the American Shoulder and Elbow Surgeons Score Using Multivariable Predictive Models and Computer Adaptive Testing to Reduce Survey Burden

2021 ◽  
Vol 49 (3) ◽  
pp. 764-772
Author(s):  
Matthew S. Tenan ◽  
Joseph W. Galvin ◽  
Timothy C. Mauntel ◽  
John M. Tokish ◽  
James R. Bailey ◽  
...  
Keyword(s):  
Physical Function ◽  
Predictive Model ◽  
Predictive Models ◽  
Patient Reported Outcomes ◽  
Patient Survey ◽  
Patient Reported Outcome ◽  
Pain Interference ◽  
Measurement Information ◽  
Level Of Evidence ◽  
Patient Reported

Background: The preferred patient-reported outcome measure for the assessment of shoulder conditions continues to evolve. Previous studies correlating the Patient-Reported Outcomes Measurement Information System (PROMIS) computer adaptive tests (CATs) to the American Shoulder and Elbow Surgeons (ASES) score have focused on a singular domain (pain or physical function) but have not evaluated the combined domains of pain and physical function that compose the ASES score. Additionally, previous studies have not provided a multivariable prediction tool to convert PROMIS scores to more familiar legacy scores. Purpose: To establish a valid predictive model of ASES scores using a nonlinear combination of PROMIS domains for physical function and pain. Study Design: Cohort study (Diagnosis); Level of evidence, 3. Methods: The Military Orthopaedics Tracking Injuries and Outcomes Network (MOTION) database is a prospectively collected repository of patient-reported outcomes and intraoperative variables. Patients in MOTION research who underwent shoulder surgery and completed the ASES, PROMIS Physical Function, and PROMIS Pain Interference at varying time points were included in the present analysis. Nonlinear multivariable predictive models were created to establish an ASES index score and then validated using “leave 1 out” techniques and minimal clinically important difference /substantial clinical benefit (MCID/SCB) analysis. Results: A total of 909 patients completed the ASES, PROMIS Physical Function, and PROMIS Pain Interference at presurgery, 6 weeks, 6 months, and 1 year after surgery, providing 1502 complete observations. The PROMIS CAT predictive model was strongly validated to predict the ASES (Pearson coefficient = 0.76-0.78; R2 = 0.57-0.62; root mean square error = 13.3-14.1). The MCID/SCB for the ASES was 21.7, and the best ASES index MCID/SCB was 19.4, suggesting that the derived ASES index is effective and can reliably re-create ASES scores. Conclusion: The PROMIS CAT predictive models are able to approximate the ASES score within 13 to 14 points, which is 7 points more accurate than the ASES MCID/SCB derived from the sample. Our ASES index algorithm, which is freely available online ( https://osf.io/ctmnd/ ), has a lower MCID/SCB than the ASES itself. This algorithm can be used to decrease patient survey burden by 11 questions and provide a reliable ASES analog to clinicians.

scholarly journals Patients and clinicians define symptom levels and meaningful change for PROMIS pain interference and fatigue in RA using bookmarking

Rheumatology ◽  
2021 ◽  
Author(s):  
Clifton O Bingham ◽  
Alessandra L Butanis ◽  
Ana Maria Orbai ◽  
Michelle Jones ◽  
Victoria Ruffing ◽  
...  
Keyword(s):  
Clinical Decision Making ◽  
Outcome Measurement ◽  
Clinical Decision ◽  
Patient Reported Outcome ◽  
Pain Interference ◽  
Measurement Information ◽  
Meaningful Change ◽  
External Anchor ◽  
New Information ◽  
Patient Reported

Abstract Objectives Using patient-reported outcomes to inform clinical decision-making depends on knowing how to interpret scores. Patient-Reported Outcome Measurement Information System® (PROMIS®) instruments are increasingly used in rheumatology research and care, but there is little information available to guide interpretation of scores. We sought to identify thresholds and meaningful change for PROMIS Pain Interference and Fatigue scores from the perspective of RA patients and clinicians. Methods We developed patient vignettes using the PROMIS item banks representing a continuum of Pain Interference and Fatigue levels. During a series of face-to-face ‘bookmarking’ sessions, patients and clinicians identified thresholds for mild, moderate and severe levels of symptoms and identified change deemed meaningful for making treatment decisions. Results In general, patients selected higher cut points to demarcate thresholds than clinicians. Patients and clinicians generally identified changes of 5–10 points as representing meaningful change. The thresholds and meaningful change scores of patients were grounded in their lived experiences having RA, approach to self-management, and the impacts on function, roles and social participation. Conclusion Results offer new information about how both patients and clinicians view RA symptoms and functional impacts. Results suggest that patients and providers may use different strategies to define and interpret RA symptoms, and select different thresholds when describing symptoms as mild, moderate or severe. The magnitude of symptom change selected by patients and clinicians as being clinically meaningful in interpreting treatment efficacy and loss of response may be greater than levels determined by external anchor and statistical methods.

scholarly journals Preoperative PROMIS Physical Function Scores Predict Postoperative Outcomes Following Total Ankle Replacement

2021 ◽  
Vol 6 (3) ◽  
pp. 247301142110203
Author(s):  
Matthew S. Conti ◽  
Kristin C. Caolo ◽  
Agnes D. Cororaton ◽  
Jonathan T. Deland ◽  
Constantine A. Demetracopoulos ◽  
...  
Keyword(s):  
Pain Intensity ◽  
Physical Function ◽  
Outcome Measurement ◽  
Total Ankle Replacement ◽  
Postoperative Outcomes ◽  
Pain Interference ◽  
Measurement Information ◽  
Ankle Replacement ◽  
Patient Reported ◽  
Postoperative Improvement

Background: Despite good evidence that supports significant improvements in pain and physical function following a total ankle replacement (TAR) for end-stage ankle arthritis, there is a subset of patients who do not significantly benefit from surgery. The purpose of this study was to perform a preliminary analysis to determine if preoperative Patient-Reported Outcome Measurement Information System (PROMIS) scores could be used to predict which patients were at risk of not meaningfully improving following a TAR. Methods: Prospectively collected preoperative and ≥2-year postoperative PROMIS physical function, pain interference, pain intensity, and depression scores for 111 feet in 105 patients were included in the study. Significant postoperative improvement was defined using minimal clinically important differences (MCIDs). Logistic regression models and area under the curve (AUC) analyses were used to determine whether preoperative PROMIS scores were predictive of postoperative outcomes. Results: Receiver operating characteristic curves found statistically significant AUCs for the PROMIS physical function (AUC = 0.728, P = .004), pain intensity (AUC = 0.720, P = .018), and depression (AUC = 0.761, P < .001) domains. The preoperative PROMIS pain interference domain did not achieve a statistically significant AUC. Conclusion: Preoperative PROMIS physical function and pain intensity t scores may be used to predict postoperative improvement in patients following a fixed-bearing TAR; however, preoperative PROMIS pain interference scores were not good predictors. The results of this study may be used to guide research regarding patient-reported outcomes following TAR. Level of Evidence: Level III, retrospective comparative series.

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