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Background: The EQ-5D and Health Utilities Index Mark 3 (HUI-3) are preference-based measures used in cost-effectiveness studies. The Patient Reported Outcomes Measurement Information System (PROMIS) Preference scoring system (PROPr) is a new preference-based measure. In addition, algorithms were previously developed to map PROMIS Global Health (PROMIS-GH) items to HUI-3 using linear equating (HUI LE ) and 3-level EQ-5D using linear (EQ5D LE ). We sought to evaluate and compare estimated utilities based on PROPr and PROMIS-GH in adult stroke survivors., Methods: We performed a retrospective cohort study of adults diagnosed with 1 of ischemic stroke, intracerebral hemorrhage, or subarachnoid hemorrhage seen in an outpatient clinic between 2015 and 2019. Patients completed PROMIS scales and other measures. We computed a modified version of PROPr (mPROPr) and compared the distributional characteristics and correlations with stroke outcomes for mPROPr, HUI LE , and EQ5D LE ., Results: T toal of 4,159 stroke survivors (average age 62.7 ± 14.7 y, 48.4% female, 77.6% ischemic stroke) were included. Mean utility estimates for mPROPr, EQ5D LE , and HUI LE were 0.333 ± 0.244, 0.739 ± 0.201, and 0.544 ± 0.301, respectively. Correlations between the modified Rankin Scale and each of mPROPr and HUI LE were both -0.48 and -0.43 for EQ5D LE . Regression analyses indicated that mPROPr scores may be too low for stroke patients in good health and that EQ5D LE scores may be too high for stroke patients in poor health., Conclusions: All 3 PROMIS-based utilities were associated with measures of stroke disability and severity, but the distributions of utilities were very different. Our study highlights the problem cost-effectiveness researchers face of valuing health states with certainty. For researchers using utilities estimated from PROMIS scales, our study indicates that mapping PROMIS-GH item scores to HUI-3 via linear equating may be most appropriate in stroke patients., Highlights: A new preference-based measure has been developed from the Patient Reported Outcomes Measurement Information System (PROMIS), known as the PROMIS-Preference (PROPr) scoring system, and published equations mapping PROMIS Global Health (PROMIS-GH) items to the Health Utilities Index Mark 3 (HUI-3) and EQ-5D-3L are available for use in cost-effectiveness studies.Our study provides distributional characteristics and comparisons of utilities estimated using a modified version of PROPr and equations mapping PROMIS-GH items to EQ-5D-3L and HUI-3 in a sample of stroke survivors.The results of our study show large differences in the distributions of utilities estimated using the different health state measures, and these differences highlight the ongoing difficulty researchers face in valuing health states with certainty.

Purpose: Caregivers, or proxies, often complete patient-reported outcome measures (PROMs) on behalf of patients with stroke. The objective of our study was to assess the validity and responsiveness of proxy-responses compared to patient-responses across multiple domains of health., Methods: Stroke patients and their proxies were recruited to complete PROMs between 7/2018-11/2019. PROMs included Neuro-QoL cognitive function, PROMIS physical function, satisfaction with social roles, anxiety, fatigue, pain interference, sleep disturbance, Global Health, and PHQ-9. Internal consistency and convergent validity were compared between patient- and proxy-reported measures. Known-groups validity was assessed across levels of stroke disability. Internal responsiveness was evaluated using paired t-tests for a subset of patients who attended rehabilitation following stroke. Analyses were stratified by patients ≤ 3 vs > 3 months from stroke., Results: This cross-sectional study included 200 stroke patients (age 62.2 ± 13.3, 41.5% female) and their proxies (age 56.5 ± 13.9, 70% female, 72% spouses). PROMs had high internal consistency and were significantly correlated for patients and proxies. Patient- and proxy-reported measures worsened with increasing stroke disability. For 34 (17%) patients who attended rehabilitation, patients self-reported improvement on 5 domains whereas proxies reported no improvement. Compared to patient self-reports, validity was worse for proxy-reports on patients ≤ 3 months but better > 3 months from stroke., Conclusions: Both patient- and proxy-reported PROMs demonstrated strong validity. Only patient-reported PROMs were responsive to change, and proxies had worse validity for patients ≤ 3 months from stroke but better validity for patients > 3 months from stroke. These findings justify the utilization of proxy responses in stroke patients > 3 months from stroke.

Background Identification of stroke patients at increased risk of emergency department (ED) visits or hospital admissions allows implementation of mitigation strategies. We evaluated the ability of the Patient-Reported Outcomes Information Measurement System (PROMIS) patient-reported outcomes (PROs) collected as part of routine care to predict 1-year emergency department (ED) visits and admissions when added to other readily available clinical variables. Methods and Results This was a cohort study of 1696 patients with ischemic stroke, intracerebral hemorrhage, subarachnoid hemorrhage, or transient ischemic attack seen in a cerebrovascular clinic from February 17, 2015, to June 11, 2018, who completed the following PROs at the visit: Patient Health Questionnaire-9, Quality of Life in Neurological Disorders cognitive function, PROMIS Global Health, sleep disturbance, fatigue, anxiety, social role satisfaction, physical function, and pain interference. A series of logistic regression models was constructed to determine the ability of models that include PRO scores to predict 1-year ED visits and all-cause and unplanned admissions. In the 1 year following the PRO encounter date, 1046 ED visits occurred in 548 patients; 751 admissions occurred in 453 patients. All PROs were significantly associated with future ED visits and admissions except PROMIS sleep. Models predicting unplanned admissions had highest optimism-corrected area under the curve (range, 0.684-0.724), followed by ED visits (range, 0.674-0.691) and then all-cause admissions (range, 0.628-0.671). PROs measuring domains of mental health had stronger associations with ED visits; PROs measuring domains of physical health had stronger associations with admissions. Conclusions PROMIS scales improve the ability to predict ED visits and admissions in patients with stroke. The differences in model performance and the most influential PROs in the prediction models suggest differences in factors influencing future hospital admissions and ED visits.

Objectives: To quantify the extent and variability of bias introduced when caregivers, or proxies, complete patient-reported outcome measures (PROM) on behalf of stroke patients., Design: Cross-sectional survey study conducted between July 2018 and November 2019., Setting: Ambulatory clinic of a cerebrovascular center or rehabilitation unit., Participants: A consecutive sample of stroke patients (N=200) and their proxies who were able and willing to complete PROMs. Proxies completed PROMs as they believed the patient would answer., Interventions: Not applicable., Main Outcome Measures: PROMs included Neuro-QoL cognitive function, PROMIS physical function, social role satisfaction, anxiety, fatigue, pain interference, sleep disturbance, Patient Health Questionnaire-9 translated to PROMIS Depression, and PROMIS Global Health., Results: The study included 200 stroke patients (age, 62.2±13.3; 41.5% women) and their proxies (age 56.5±13.9; 70% women, 72% spouses). Proxies reported worse functioning and more symptoms across all PROM domains compared with patients (average difference, 0.3-3.0 T score points). Reliability between dyad responses was moderate across all domains (intraclass correlation coefficients (2,1), 0.49-0.76) and effect sizes were small (d=0.04-0.35). Cognitive function, anxiety, and depression had the lowest agreement, whereas physical function, pain, and sleep had the highest agreement based on the Bland-Altman method. At the individual level, a large proportion of dyads had meaningfully different scores across domains (range, 40%-57%; dyads differed >5 T score points). Few predictors of disagreement were identified through multinomial regression models., Conclusions: At the aggregate level, small differences were detected between stroke patient-proxy pairs, with lower agreement on more subjective domains. At the individual level, a large proportion of dyads reported meaningfully different scores on all domains, affecting the interpretability of proxy responses on PROMs in a clinical setting., (Copyright © 2020 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)

Study Objectives: We evaluated factors associated with the presence of sleep disturbance in patients with stroke and whether sleep disturbance predicted change in other patient-reported domains of health over time., Methods: Observational cohort study of 2,190 patients with stroke seen in a cerebrovascular clinic February 17, 2015 to July 5, 2017 who completed patient-reported outcome measures (PROMs) at ≥ 1 visit, including the Patient Health Questionnaire-9 depression screen, Quality of Life in Neurological Disorders (NeuroQoL) cognitive function and Patient-Reported Outcomes Information Measurement System (PROMIS) sleep disturbance, fatigue, anxiety, social role satisfaction, physical function, and pain interference. Separate multivariable models were constructed with PROMIS sleep disturbance as the dependent variable. Covariates included clinical and demographic variables, the Patient Health Questionnaire-9 depression screen scored on the PROMIS metric, and 1 of the 6 other PROMs. Among the 476 patients with ≥ 2 visits, linear regression models were constructed to determine the association of baseline sleep disturbance with follow-up PROMs after adjustment for the corresponding baseline PROMIS/NeuroQol scores, depression score, and clinical variables., Results: Younger age and all PROM scores were associated with sleep disturbance; depression had the greatest association among PROMs (beta estimate 0.53, 95% confidence interval, 0.49, 0.57), physical function had the least (-0.06, 95% confidence interval, -0.11, -0.01). Baseline PROMIS sleep disturbance score was associated with worse adjusted follow-up scores for depression, fatigue, social role satisfaction, and physical function., Conclusions: Younger age and all 8 PROMs were associated with sleep disturbance in patients with stroke. The degree of sleep disturbance predicted future patient-reported outcomes for multiple domains of health. Further study is warranted to determine if interventions shown to improve sleep symptoms will also improve other outcomes., (© 2020 American Academy of Sleep Medicine.)

Objective: Therapists in the hospital are charged with making timely discharge recommendations to improve access to rehabilitation after stroke. The objective of this study was to identify the predictive ability of the Activity Measure for Post-Acute Care "6 Clicks" Basic Mobility Inpatient Short Form (6 Clicks mobility) score and the National Institutes of Health Stroke Scale (NIHSS) score for actual hospital discharge disposition after stroke., Methods: In this retrospective cohort study, data were collected from an academic hospital in the United States for 1543 patients with acute stroke and a 6 Clicks mobility score. Discharge to home, a skilled nursing facility (SNF), or an inpatient rehabilitation facility (IRF) was the primary outcome. Associations among these outcomes and 6 Clicks mobility and NIHSS scores, alone or together, were tested using multinomial logistic regression, and the predictive ability of these scores was calculated using concordance statistics., Results: A higher 6 Clicks mobility score alone was associated with a decreased odds of actual discharge to an IRF or an SNF. The 6 Clicks mobility score alone was a strong predictor of discharge to home versus an IRF or an SNF. However, predicting discharge to an IRF versus an SNF was stronger when the 6 Clicks mobility score was considered in combination with the NIHSS score, age, sex, and race., Conclusion: The 6 Clicks mobility score alone can guide discharge decision making after stroke, particularly for discharge to home versus an SNF or an IRF. Determining discharge to an SNF versus an IRF could be improved by also considering the NIHSS score, age, sex, and race. Future studies should seek to identify which additional characteristics improve predictability for these separate discharge destinations., Impact: The use of outcome measures can improve therapist confidence in making discharge recommendations for people with stroke, can enhance hospital throughput, and can expedite access to rehabilitation, ultimately affecting functional outcomes., (© The Author(s) 2020. Published by Oxford University Press on behalf of the American Physical Therapy Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Study Objectives: Treatable sleep-related conditions are frequent in stroke patients, although their prevalence across stroke types and ideal method for screening is not clear. The objectives of this study were to evaluate the prevalence of sleep disturbance across different stroke types and identify approaches to the collection of sleep-related measures in clinical practice., Methods: We performed an observational cohort study of 2,213 patients with ischemic stroke, intracerebral hemorrhage (ICH), subarachnoid hemorrhage (SAH), or transient ischemic attack seen in a cerebrovascular clinic February 17, 2015 through July 5, 2017 who completed at least one of the following sleep-related questionnaires: Patient-Reported Outcomes Measurement Information System (PROMIS) sleep disturbance, Insomnia Severity Index (ISI), Sleep Apnea Probability Scale (SAPS), and sleep duration. Prevalence of abnormal scores were calculated using the following thresholds: PROMIS sleep disturbance ≥ 55, ISI ≥ 15, SAPS score ≥ 0.50, and sleep duration fewer than 6 or more than 9 hours. Sensitivity, specificity, and positive and negative predictive values of PROMIS sleep disturbance T-score ≥ 55 to identify patients with moderate-severe insomnia (ISI ≥ 15) were computed., Results: In the cohort, 28.6% patients (624/2183) had PROMIS sleep disturbance score ≥ 55, 17.6% (142/808) had ISI ≥ 15, and 61.3% (761/1241) had a positive SAPS screen. The frequency of abnormal sleep scale scores was similar across time periods and stroke types. The sensitivity and specificity of PROMIS sleep disturbance T-score ≥ 55 to identify patients with ISI ≥ 15 were 0.89 (95% confidence interval 0.83-0.94) and 0.81 (95% confidence interval 0.78-0.84), respectively., Conclusions: The prevalence of sleep-related symptoms in patients with mild stroke are similar across stroke types and time periods after stroke. Potential approaches to screening for sleep disturbance in stroke patients are provided., (© 2020 American Academy of Sleep Medicine.)

Background: Patient-reported outcome measures are increasingly being utilized in clinical care and research to evaluate outcomes following stroke. To optimize the clinical utility of these measures, we aimed to quantify meaningful change by establishing minimal important differences (MIDs), or responder definitions, for 4 domains affected in ischemic and hemorrhagic stroke patients., Methods and Results: We performed a retrospective cohort study of stroke patients seen in the Cleveland Clinic cerebrovascular center between September 2, 2012 and November 7, 2017. Four Patient-Reported Outcome Measurement Information System (PROMIS) scales were completed within 1 month poststroke and again at 6 months. MIDs were estimated using an anchor-based approach based on a global impression of change question and supported using 3 distribution-based methods. Cumulative distribution functions assessed responder thresholds. MIDs were additionally derived across sex, race, and varying levels of severity as defined by the modified Rankin Score and baseline PROMIS score. During the study period, 337 incident stroke patients completed at least 1 PROMIS domain scale at both time points (average age 61±14, 56% female). Estimates from the 4 methods were triangulated to provide a MID range across PROMIS domain: 2.5 to 6.5 T-score points for physical function and fatigue, 2.5 to 7.5 for social role satisfaction, and 3.0 to 8.0 for anxiety. Cumulative distribution functions plots identified between 30% and 40% of patients as having meaningful improvement based on the anchor-based estimates across all 4 domains. Meaningful change thresholds remained consistent across categories of sex and race. Anchor-based MIDs increased with increasing severity, whereas distribution-based MIDs remained consistent across severity levels., Conclusions: Our study is the first to evaluate interpretability of changes in PROMIS scores for stroke survivors. Future studies can utilize these thresholds to identify responders of stroke interventions. Based on our estimated MID ranges, researchers and clinicians can choose a responder threshold for comparing change in domain score at the group level, individual level, or by severity.

Background: Neurological conditions carry a high risk of depression. Given this risk, the Neurological Institute (NI) at Cleveland Clinic has initiated systematic screening for depression using the 9-item Patient Health Questionnaire-9 (PHQ-9) embedded within its electronic medical record and its data capture system, the Knowledge Program (KP) 1 ., Objective: We sought to (1) estimate the prevalence of depression among patients with epilepsy, stroke, and multiple sclerosis (MS); (2) identify risk factors for depression within each disease; and (3) determine differential risks and predictors across neurological disorders., Methods: The KP 1 database provided information on approximately 23,000 visits involving 7946 outpatients with epilepsy, stroke, or MS seen in neurology specialty clinics. The primary outcome measure was depression as defined as a PHQ-9 ≥ 10., Results: Overall, the point prevalence of depression was 29.0%. For stroke, epilepsy, and MS, prevalence of depression was 23% (95% CI: 21-25%), 33% (95% CI: 31-35%), and 29% (95% CI: 28-30%), respectively. For all 3 conditions, increasing disease severity and decreased health-related quality of life were independent predictors of depression. In multivariable models, there was a significant interaction between age and condition, and condition with disease severity. In stroke and MS, increasing age was associated with reduced odds for depression, whereas in epilepsy, increasing age was associated with an increased odds for depression., Conclusions: Although depression is common among patients with neurological disorders, our data suggest that predictors of depression such as age and disease severity varied by condition, supporting important possible phenomenological and pathophysiological differences of depression across these neurological conditions., (Copyright © 2018 Academy of Consultation-Liaison Psychiatry. Published by Elsevier Inc. All rights reserved.)

Objectives: (1) Examine 8 patient-reported domains of health across levels of disability compared to the US general population; and (2) identify factors associated with domain scores in patients with ischemic stroke., Methods: Observational cohort study of 1,195 patients in a cerebrovascular clinic from February 17, 2015, to January 27, 2017, who completed Neuro-QoL (Quality of Life in Neurological Disorders) executive function or the following PROMIS (Patient-Reported Outcomes Measurement Information System) scales as part of routine care: physical function, satisfaction with social roles, fatigue, anxiety, depression, pain interference, and sleep disturbance., Results: Mean age was 62 (±15) years, and 81% were white. Median modified Rankin Scale (mRS) score at the clinic visit was 1 (interquartile range 0-2). Percentage of patients with scores meaningfully worse than the general population ranged from 28% (sleep disturbance) to 63% (physical function). Scores were worse in patients with higher mRS levels, although correlation between scores and mRS level varied (sleep disturbance r = 0.16 to physical function r = 0.52). Most affected domains were physical function (T score = 58.8), satisfaction with social roles (T score = 55.4), and executive function (T score = 53.4). Disability, lower income, and female sex were associated with worse scores in multiple domains. Age was associated with worse physical function but lower anxiety, depression, and sleep disturbance., Conclusions: Patients with ischemic stroke reported symptoms in multiple domains that increase to variable degrees at higher levels of disability. Physical function, satisfaction with social roles, and executive function were most affected. This information improves our understanding of the well-being of patients with ischemic stroke and brings attention to the importance of social roles and executive function for stroke survivors., (© 2018 American Academy of Neurology.)

Background: The ideal time to screen for poststroke depression remains uncertain. We evaluated the 2-item Patient Health Questionnaire (PHQ-2) as a screening tool for depression during the acute stroke admission by determining the prevalence of positive depression screen during admission and by calculating the level of agreement between positive screens during admission and follow-up., Methods: This was a retrospective cohort of adult stroke survivors discharged January to December 2013 with principal discharge diagnosis of acute ischemic stroke or intracerebral hemorrhage. Depression screening was systematically performed during the hospital admission using the PHQ-2. The 9-item Patient Health Questionnaire (PHQ-9), which includes the PHQ-2, was completed by patients at outpatient follow-up., Results: The study cohort consisted of 337 patients with mean age of 66.3 years. Median time from admission to PHQ-2 was 3 days (interquartile range 1-4 days). The screen was positive for depression in 4.7% (95% confidence interval 2.7%-7.6%) of patients. Of the 150 patients with PHQ-9 data at outpatient follow up, 19.3% screened positive for depression. In both the inpatient setting and at outpatient follow-up, the prevalence of a positive depression screen was similar between patients with and without a history of depression or antidepressant use., Conclusions: Systematic screening for depression using PHQ-2 during hospitalization for acute stroke identified few patients. Most patients with depressive symptoms were identified only at the time of outpatient follow-up. Further study is needed to evaluate the usefulness of other depression screens for stroke patients in the acute hospital setting and the optimal timing for depression screening after stroke., (Copyright © 2017 National Stroke Association. Published by Elsevier Inc. All rights reserved.)

Background: There is uncertainty regarding the clinical utility of the data obtained from patient-reported outcome measures (PROMs) for patient care. We evaluated the incremental information obtained by PROMs compared to the clinician-reported modified Rankin Scale (mRS)., Methods and Results: This was an observational study of 3283 ischemic stroke patients seen in a cerebrovascular clinic from September 14, 2012 to June 16, 2015 who completed the routinely collected PROMs: Stroke Impact Scale-16 (SIS-16), EQ-5D, Patient Health Questionnaire-9, PROMIS Physical Function, and PROMIS fatigue. The amount of variation in the PROMs explained by mRS was determined using r 2 after adjustment for age and level of stroke impairment. The proportion with meaningful change was calculated for patients with ≥2 visits. Concordance with change in the other scales and the ability to discriminate changes in health state as measured by c-statistic was evaluated for mRS versus SIS-16. Correlation between PROMs and mRS was highest for SIS-16 ( r =-0.64, P <0.01). The r 2 ranged from 0.11 (PROMIS fatigue) to 0.56 (SIS-16). Change in scores occurred in 51% with mRS and 35% with SIS-16. There was lower agreement and less ability to discriminate change in mRS than in SIS-16 with change in the other measures., Conclusions: PROMs provide additional valuable information compared to the mRS alone in stroke patients seen in the ambulatory setting. SIS-16 may have a better ability to identify change than mRS in health status of relevance to the patient. PROMs may be a useful addition to mRS in the assessment of health status in clinical practice., (© 2017 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.)

High-sensitivity C-reaction protein (hsCRP) levels are correlated with risk of vascular disease. The clinical implications of markedly elevated hsCRP levels in the setting of acute stroke are less understood., Objective: To determine the association of very high admission hsCRP levels (≥10mg/L) on all-cause mortality in patients with acute stroke., Methods: A retrospective cohort study of 1176 patients hospitalized with acute stroke between 2005 and 2012 who had a hsCRP assay drawn within seven days of admission. Mortality data was obtained using Ohio Death Index. Cox proportional analysis was used to determine hazard ratios of death among patients with hsCRP values >10mg/L after adjusting for age, sex, race and relevant co-morbid conditions. NIHSS was also adjusted in a subset of patients in whom it was available (n=378)., Results: Patients with hsCRP >10mg/L had 2.65 (95% CI: 1.99, 3.53) increased hazard of all-cause mortality compared to stroke patients with hsCRP ≤10mg/L. Association of hsCRP with mortality was greater for patients with low NIHSS and declined in patients with increasing NIHSS scores. A higher proportion of patients with hsCRP >10 died from nonvascular causes than patients with hsCRP ≤10mg/L., Conclusion: Very high levels of hsCRP may be a useful marker to identify stroke patients at increased risk for death, especially those with stroke of mild severity. More research is needed to determine how this information can be used to improve patient care, especially in patients with mild stroke., (Copyright © 2016 Elsevier B.V. All rights reserved.)

Background: Caregivers, or proxies, often complete patient-reported outcomes (PROs) on behalf of patients; yet, research has demonstrated proxies rate patient outcomes worse than patients rate their own outcomes. To improve interpretability of PROs in group-level analyses, our study aimed to identify optimal approaches for reducing proxy-introduced bias in the analysis of PROs. Methods: Data were simulated based on 200 patients with stroke and their proxies who both completed 9 PROMIS domains as part of a cross-sectional study. The sample size was varied as 50, 100, 200, and 500, and the proportion of patients with proxy-respondents was varied as 10%, 20%, and 50%. Six methods for handling proxy-completions were investigated: (1) complete case analysis; (2) proxy substitution; (3) Method 2 plus proxy adjustment; (4) Method 3 including inverse-probability of treatment weighting; (5) multiple imputation; (6) linear equating. These methods were evaluated by comparing average bias in PROMIS T -scores (estimated versus observed patient-only responses), as well as by comparing estimated regression coefficients to models using patient-only responses. Results: Overall mean T -score differences ranged from 0 to 1.75. The range of mean differences varied by the 6 methods with methods 1 and 5 providing estimates closest to the observed mean. In regression models, all but inverse-probability of treatment weighting resulted in low bias when proxy-completions were 10% to 20%. With 50% proxy-completions, method 5 resulted in less accurate estimations while methods 1 to 3 provided less proxy-introduced bias. Bias remained low across domain and varying sample sizes but increased with larger percentages of proxy-respondents. Conclusions: Our study found modest proxy-introduced bias when estimating PRO scores or regression estimates across multiple domains of health. This bias remained low, even when sample size was 50 and there were large proportions of proxy-completions. While many of these methods can be chosen for including proxies in stroke PRO research with <20% proxy-respondents, proxy substitution with adjustment resulted in low bias with 50% proxy-respondents. * Patient-reported outcome measures are increasingly utilized to evaluate outcomes after stroke, yet as many as 25% of people who have a stroke may be unable to report their status. * Patient-reported outcome measures from a caregiver, or proxy, are often substituted for the patient's self-report; yet, research has demonstrated that proxies tend to rate patient outcomes worse than patients rate their own outcomes, and this disparity is particularly pronounced for the more subjective domains like emotional well-being and fatigue. * Methods have been suggested for incorporating proxy data into outcomes studies, but it is unclear which methods are best and whether the optimal method differs by health domain. * Our simulation study, based on clinical data, evaluated 6 methods for correcting proxy-introduced bias when estimating patient-reported outcome measure scores or regression estimates across multiple domains of health. * Our study provides a summary of optimal methods for handling proxy-completions based on the purpose of the group-level analysis, percent proxy-completion, and health domain. [ABSTRACT FROM AUTHOR]