Factors associated with physical function among people with systemic sclerosis: a SPIN cohort cross-sectional study.

OBJECTIVES: To compare physical function in systemic sclerosis (SSc, scleroderma) to general population normative data and identify associated factors. METHODS: Scleroderma Patient-centered Intervention Network Cohort participants completed the Physical Function domain of the Patient-Reported Outcomes Measurement Information System Version 2 upon enrolment. Multivariable linear regression was used to assess associations of sociodemographic, lifestyle, and disease-related variables. RESULTS: Among 2385 participants, the mean physical function T-score (43.7, SD = 8.9) was ∼2/3 of a standard deviation (SD) below the US general population (mean = 50, SD = 10). Factors associated in the multivariable analysis included older age (-0.74 points per SD years, 95% CI -0.78 to -1.08), female sex (-1.35, -2.37 to -0.34), fewer years of education (-0.41 points per SD in years, -0.75 to -0.07), being single, divorced, or widowed (-0.76, -1.48 to -0.03), smoking (-3.14, -4.42 to -1.85), alcohol consumption (0.79 points per SD drinks per week, 0.45-1.14), BMI (-1.41 points per SD, -1.75 to -1.07), diffuse subtype (-1.43, -2.23 to -0.62), gastrointestinal involvement (-2.58, -3.53 to -1.62), digital ulcers (-1.96, -2.94 to -0.98), moderate (-1.94, -2.94 to -0.93) and severe (-1.76, -3.24 to -0.28) small joint contractures, moderate (-2.10, -3.44 to -0.76) and severe (-2.54, -4.64 to -0.44) large joint contractures, interstitial lung disease (-1.52, -2.27 to -0.77), pulmonary arterial hypertension (-3.72, -4.91 to -2.52), rheumatoid arthritis (-2.10, -3.64 to -0.56) and idiopathic inflammatory myositis (-2.10, -3.63 to -0.56). CONCLUSION: Physical function is impaired for many individuals with SSc and is associated with multiple disease factors.

Extrarenal symptoms associate with worse quality of life in patients enrolled in the AMP RA/SLE Lupus Nephritis Network.

OBJECTIVE: Lupus nephritis (LN) can occur as an isolated component of disease activity or be accompanied by diverse extrarenal manifestations. Whether isolated renal disease is sufficient to decrease health related quality of life (HRQOL) remains unknown. This study compared Patient-Reported Outcomes Measurement Information System 29-Item (PROMIS-29) scores in LN patients with isolated renal disease to those with extrarenal symptoms to evaluate the burden of LN on HRQOL and inform future LN clinical trials incorporating HRQOL outcomes. METHODS: A total of 181 LN patients consecutively enrolled in the multicentre multi-ethnic/racial Accelerating Medicines Partnership completed PROMIS-29 questionnaires at the time of a clinically indicated renal biopsy. Raw PROMIS-29 scores were converted to standardized T scores. RESULTS: Seventy-five (41%) patients had extrarenal disease (mean age 34, 85% female) and 106 (59%) had isolated renal (mean age 36, 82% female). Rash (45%), arthritis (40%) and alopecia (40%) were the most common extrarenal manifestations. Compared with isolated renal, patients with extrarenal disease reported significantly worse pain interference, ability to participate in social roles, physical function, and fatigue. Patients with extrarenal disease had PROMIS-29 scores that significantly differed from the general population by > 0.5 SD of the reference mean in pain interference, physical function, and fatigue. Arthritis was most strongly associated with worse scores in these three domains. CONCLUSION: Most patients had isolated renal disease and extrarenal manifestations associated with worse HRQOL. These data highlight the importance of comprehensive disease management strategies that address both renal and extrarenal manifestations to improve overall patient outcomes.

Examining the Trajectory of Health-Related Quality of Life among Coronavirus Disease Patients.

BACKGROUND: Recent studies have reported a reduction in health-related quality of life (HR-QoL) among post-coronavirus disease 2019 (COVID-19) patients. However, there remains a gap in research examining the heterogeneity and determinants of HR-QoL trajectory in these patients. OBJECTIVE: To describe and identify factors explaining the variability in HR-QoL trajectories among a cohort of patients with history of COVID-19. DESIGN: A prospective study using data from a cohort of COVID-19 patients enrolled into a registry established at a health system in New York City. PARTICIPANTS: Participants were enrolled from July 2020 to June 2022, and completed a baseline evaluation and two follow-up visits at 6 and 12 months. METHODS: We assessed HR-QoL with the 29-item Patient Reported Outcomes Measurement Information System instrument, which was summarized into mental and physical health domains. We performed latent class growth and multinomial logistic regression to examine trajectories of HR-QoL and identify factors associated with specific trajectories. RESULTS: The study included 588 individuals with a median age of 52 years, 65% female, 54% White, 18% Black, and 18% Hispanic. We identified five physical health trajectories and four mental health trajectories. Female gender, having pre-existing hypertension, cardiovascular disease, asthma, and hospitalization for acute COVID-19 were independently associated with lower physical health. In addition, patients with increasing body mass index were more likely to experience lower physical health over time. Female gender, younger age, pre-existing asthma, arthritis and cardiovascular disease were associated with poor mental health. CONCLUSIONS: We found significant heterogeneity of HR-QoL after COVID-19, with women and patients with specific comorbidities at increased risk of lower HR-QoL. Implementation of targeted psychological and physical interventions is crucial for enhancing the quality of life of this patient population.

Preoperative patient-reported physical health-related quality of life predicts short-term postoperative outcomes in brain tumor patients.

BACKGROUND: Patient-reported outcome measures (PROMs) are increasingly used to assess patients' perioperative health. The PROM Information System 29 (PROMIS-29) is a well-validated global health assessment instrument for patient physical health, though its utility in cranial neurosurgery is unclear. OBJECTIVE: To investigate the utility of preoperative PROMIS-29 physical health (PH) summary scores in predicting postoperative outcomes in brain tumor patients. METHODS: Adult brain tumor patients undergoing resection at a single institution (January 2018-December 2021) were identified and prospectively received PROMIS-29 surveys during pre-operative visits. PH summary scores were constructed and optimum prediction thresholds for length of stay (LOS), discharge disposition (DD), and 30-day readmission were approximated by finding the Youden index of the associated receiver operating characteristic curves. Bivariate analyses were used to study the distribution of low (z-score≤-1) versus high (z-score>-1) PH scores according to baseline characteristics. Logistic regression models quantified the association between preoperative PH summary scores and post-operative outcomes. RESULTS: A total of 157 brain tumor patients were identified (mean age 55.4±15.4 years; 58.0% female; mean PH score 45.5+10.5). Outcomes included prolonged LOS (24.8%), non-routine discharge disposition (37.6%), and 30-day readmission (19.1%). On bivariate analysis, patients with low PH scores were significantly more likely to be diagnosed with a high-grade tumor (69.6% vs 38.85%, p=0.010) and less likely to have elective surgery (34.8% vs 70.9%, p=0.002). Low PH score was associated with prolonged LOS (26.1% vs 22%, p<0.001), nonroutine discharge (73.9% vs 31.3%, p<0.001) and 30-day readmission (43.5% vs 14.9%, p=0.003). In multivariate analysis, low PH scores predicted greater LOS (odds ratio [OR]=6.09, p=0.003), nonroutine discharge (OR=4.25, p=0.020), and 30-day readmission (OR=3.93, p=0.020). CONCLUSION: The PROMIS-29 PH summary score predicts short-term postoperative outcomes in brain tumor patients and may be incorporated into prospective clinical workflows.

Qualitative and Psychometric Evaluation of 29-Item Patient-Reported Outcomes Measurement Information System® to Assess General Health-Related Quality of Life in Patients With Moderately to Severely Active Inflammatory Bowel Disease.

OBJECTIVES: To evaluate content validity and psychometric properties of the 29-item Patient-Reported Outcomes Measurement Information System (PROMIS-29) to determine its suitability in inflammatory bowel disease (IBD) clinical trials. METHODS: Content validity of PROMIS-29 was evaluated using qualitative interviews, including concept elicitation and cognitive debriefing, among patients living with Crohn's disease (Crohn's disease n = 20) or ulcerative colitis (UC, n = 19). PROMIS-29 validity, reliability, and responsiveness were assessed using data from phase II clinical trials of Crohn's disease (N = 360) and UC (N = 518). RESULTS: Common (≥74%) symptoms reported in qualitative interviews were increased stool frequency, fatigue, abdominal pain/cramping, blood/mucus in stool, bowel urgency, and diarrhea. Disease impact aligned with PROMIS-29 content (depression, anxiety, physical function, pain interference, fatigue, sleep disturbance, and ability to participate in social roles/activities). Cognitive debriefing indicated that PROMIS-29 instructions were easily understood, items were relevant, and the recall period was appropriate. Psychometric evaluations demonstrated that PROMIS-29 scores indicating worse symptoms/functioning were associated with lower health-related quality of life and greater disease activity and severity. PROMIS-29 domain scores correlated (rs ≥ 0.40) with IBD Questionnaire domains and EuroQol-5-Dimension-5-Level dimensions measuring similar concepts. Test-retest reliability among patients with stable disease was moderate-to-excellent (0.64-0.94) for nearly all domains in all studies. PROMIS-29 was responsive to change in disease status from baseline to week 12. Thresholds for clinically meaningful improvement ranged from ≥3 to ≥8, depending on domain. CONCLUSIONS: PROMIS-29 is valid, reliable, and responsive for assessing general health-related quality of life and treatment response in IBD clinical trials.

Converting PROMIS®-29 v2.0 profile data to SF-36 physical and mental component summary scores in patients with cardiovascular disorders.

BACKGROUND: Health-related quality of life (HRQL) has become an important outcome parameter in cardiology. The MOS 36-ltem Short-Form Health Survey (SF-36) and the PROMIS-29 are two widely used generic measures providing composite HRQL scores. The domains of the SF-36, a well-established instrument utilized for several decades, can be aggregated to physical (PCS) and mental (MCS) component summary scores. Alternative scoring algorithms for correlated component scores (PCSc and MCSc) have also been suggested. The PROMIS-29 is a newer but increasingly used HRQL measure. Analogous to the SF-36, physical and mental health summary scores can be derived from PROMIS-29 domain scores, based on a correlated factor solution. So far, scores from the PROMIS-29 are not directly comparable to SF-36 results, complicating the aggregation of research findings. Thus, our aim was to provide algorithms to convert PROMIS-29 data to well-established SF-36 component summary scores. METHODS: Data from n = 662 participants of the Berlin Long-term Observation of Vascular Events (BeLOVE) study were used to estimate linear regression models with either PROMIS-29 domain scores or aggregated PROMIS-29 physical/mental health summary scores as predictors and SF-36 physical/mental component summary scores as outcomes. Data from a subsequent assessment point (n = 259) were used to evaluate the agreement between empirical and predicted SF-36 scores. RESULTS: PROMIS-29 domain scores as well as PROMIS-29 health summary scores showed high predictive value for PCS, PCSc, and MCSc (R2 ≥ 70%), and moderate predictive value for MCS (R2 = 57% and R2 = 40%, respectively). After applying the regression coefficients to new data, empirical and predicted SF-36 component summary scores were highly correlated (r > 0.8) for most models. Mean differences between empirical and predicted scores were negligible (|SMD|<0.1). CONCLUSIONS: This study provides easy-to-apply algorithms to convert PROMIS-29 data to well-established SF-36 physical and mental component summary scores in a cardiovascular population. Applied to new data, the agreement between empirical and predicted SF-36 scores was high. However, for SF-36 mental component summary scores, considerably better predictions were found under the correlated (MCSc) than under the original factor model (MCS). Additionally, as a pertinent byproduct, our study confirmed construct validity of the relatively new PROMIS-29 health summary scores in cardiology patients.

Comparing patient-reported outcomes measurement information system® (PROMIS®)-16 domain scores with the PROMIS-29 and 5-item PROMIS cognitive function scores.

PURPOSE: This study evaluates the interpretability of Patient-Reported Outcomes Measurement Information System® (PROMIS®)-16 profile domain scores (physical function, ability to participate in social roles and activities, anxiety, depression, sleep disturbance, pain interference, cognitive function - abilities, and fatigue) compared to the PROMIS-29 scores and a 5-item PROMIS cognitive function score. The study aims to provide insights into using these measures in clinical and research settings. METHODS: Analyses were conducted using data from 4130 adults from a nationally representative, probability-based internet panel between September and October 2022. A subset of 1256 individuals with back pain was followed up at six months. We compared the PROMIS-16 profile with the corresponding domain scores from the PROMIS-29 and a custom five-item cognitive function measure. We evaluated (1) reliability through inter-item correlations within each domain and (2) criterion validity by comparing PROMIS-16 profile with the corresponding longer PROMIS measures: (a) standardized mean differences in domain scores, (b) correlations, and (c) concordance of change (i.e., got worse, stayed the same, got better) among those with back pain from baseline to six months later using the reliable change index. We report the Kappa coefficient of agreement and the frequency and percentage of participants with concordant classifications. RESULTS: Inter-item correlations for the PROMIS-16 domains ranged from 0.65 in cognitive function to 0.92 in pain interference. Standardized mean differences between PROMIS-16 and the scores for the corresponding longer PROMIS domains were minimal (< 0.2). Correlations among the corresponding domain scores ranged from 0.82 for sleep disturbance to 0.98 for pain interference. The percentage of concordance in change groups ranged from 63% for sleep disturbance to 88% for pain interference. Except for sleep disturbance, the change groups derived from the PROMIS-16 showed moderate to substantial agreement with scores estimated from the longer PROMIS measures (Kappa coefficients ≥ 0.41). CONCLUSION: The PROMIS-16 domain scores perform similarly to the longer PROMIS measures and can be interpreted in the same way. This similarity indicates that PROMIS-16 can be useful for research as a brief health-related quality-of-life profile measure.

The Patient-Reported Outcomes Measurement Information System^® (PROMIS^®)-16 Profile assesses eight health-related quality of life domains (physical function, ability to participate in social roles and activities, anxiety, depression, sleep disturbance, pain interference, cognitive function ­ abilities, and fatigue) using two items per domain. We evaluated the PROMIS-16 profile in a sample drawn from a nationally representative, probability-based internet panel. The study supports the reliability and criterion validity of the PROMIS-16, showing that the domain scores closely align with and have high concordance in change with the PROMIS-29 scores and a custom five-item cognitive function score. The PROMIS-16 has the potential to be a brief health-related quality-of-life profile measure in research and clinical settings.

The PROMIS-16 reproduces the PROMIS-29 physical and mental health summary scores accurately in a probability-based internet panel.

PURPOSE: The Patient-Reported Outcomes Measurement Information System® (PROMIS)-16 assesses the same multi-item domains but does not include the pain intensity item in the PROMIS-29. We evaluate how well physical and mental health summary scores estimated from the PROMIS-16 reproduce those estimated using the PROMIS-29. METHODS: An evaluation of data collected from 4130 respondents from the KnowledgePanel. Analyses include confirmatory factor analysis to assess physical and mental health latent variables based on PROMIS-16 scores, reliability estimates for the PROMIS measures, mean differences and correlations of scores estimated by the PROMIS-16 with those estimated by the PROMIS-29, and associations between differences in corresponding PROMIS-16 and PROMIS-29 scores by sociodemographic characteristics. RESULTS: A two-factor (physical and mental health) model adequately fits the PROMIS-16 scores. Reliability estimates for the PROMIS-16 measures were slightly lower than for the PROMIS-29 measures. There were minimal differences between PROMIS physical and mental health summary scores estimated using the PROMIS-16 or the PROMIS-29. PROMIS-16 and PROMIS-29 score differences by sociodemographic characteristics were small. Using the PROMIS pain intensity item when scoring the PROMIS-16 produced similar estimates of physical and mental health summary scores. CONCLUSION: The PROMIS-16 provides similar estimates of the PROMIS-29 physical and mental health summary scores. The high reliability of these scores indicates they are accurate enough for use with individual patients.

PROMIS-29 and EORTC QLQ-C30: an empirical investigation towards a common conception of health.

PURPOSE: The assessment of health-related quality of life (HRQOL) measured via patient-reported outcomes (PROs) is a key component in clinical trials and increasingly used in clinical routine worldwide. Two PRO measures (PROMs) that share the same definition of health and report outcomes on a comparable T-metric anchored to general population samples are the PROMIS-29 and the EORTC QLQ-C30. In this study, we investigate the empirical agreement of these underlying concepts. METHODS: We collected PROMIS-29 and EORTC QLQ-C30 data from 1,478 female patients at a breast cancer outpatient centre. We calculated descriptive statistics and correlations between the subscales of both instruments. We performed exploratory (EFA) and confirmatory factor analysis (CFA) in randomly split subsamples in order to assess the underlying psychometric structure of both instruments. RESULTS: The cohort (mean age = 47.4, ± 14.49) reported comparable mean HRQOL scores between the corresponding subscales of both instruments similar to general population reference values. Correlation between the corresponding subscales of both instruments ranged between 0.59 (Social Role) and 0.78 (Physical Functioning). Both an exploratory and a theoretically driven confirmatory factor analysis provided further support for conceptual agreement of the scales. CONCLUSION: EORTC QLQ-C30 and PROMIS-29 showed similar scores and satisfactory agreement in conceptional and statistical analysis. This suggests that the underlying conceptualization of health is reasonably close. Hence, the development of score transformation algorithms or calibration of both instruments on common scales could prospectively increase the comparability of clinical and research PRO data collected with either instrument.

Hungarian PROMIS-29+2: psychometric properties and population reference values.

OBJECTIVES: This study aims to assess psychometric properties of the Hungarian PROMIS-29+2 profile measure and provide general population reference values for Hungary. METHODS: An adult general population sample (n = 1700) completed PROMIS-29+2 v2.1 in an online survey. The following psychometric properties were assessed: floor and ceiling effect, convergent validity with SF-36v1 domains, internal consistency (McDonald's omega), unidimensionality, local independence, monotonicity, graded response model (GRM) fit and differential item functioning (DIF). Age- and gender-specific reference values were established using the US item calibrations. RESULTS: Depending on scale orientation, high floor or ceiling effects were observed for all domains (25.2-60.7%) except for sleep disturbance. McDonald's omega for domains ranged from 0.87-0.97. Unidimensionality, local independence and monotonicity were supported and the GRM adequately fitted for all but one domains. The sleep disturbance domain demonstrated item misfit, response level disordering and low discrimination ability, particularly for item Sleep116 ('refreshing sleep'). Strong correlations were observed between PROMIS-29+2 and corresponding SF-36 domains (rs=│0.60│ to │0.78│). No DIF was detected for most sociodemographic characteristics. Problems with physical function, pain interference and social roles tended to increase, whereas problems with anxiety, depression, fatigue and cognitive function declined with age (p < 0.01). In all domains except for cognitive function, more health problems occurred in females than in males (p < 0.001). CONCLUSION: The Hungarian PROMIS-29+2 shows satisfactory psychometric properties; however, the sleep disturbance domain substantially underperforms that requires further attention. Population reference values were generated that facilitate the interpretation of health outcomes in various patient populations.

Vision-related quality of life compared to generic measures in retinoblastoma survivors.

PURPOSE: To (1) Compare vision-related quality of life (VRQOL) in adolescent and young adult (AYA) unilateral versus bilateral retinoblastoma (RB) survivors using a vision-targeted measure and a generic health-related quality of life (HRQOL) measure and (2) Assess associations among VRQOL and generic HRQOL domains and overall QOL and estimate associations of the VRQOL and HRQOL domains with overall QOL. METHODS: The National Institute for Health (NIH) Toolbox® VRQOL instrument, PROMIS®-29 Profile v 2.1, and a single-item QOL measure were administered in a cross-sectional study of 101 RB survivors. Reliability for multi-item scales was estimated. Product-moment and Spearman rank correlation coefficients and stepwise ordinary least squares were used to measure associations of other variables with overall QOL. RESULTS: Significantly worse VRQOL was reported by bilateral than unilateral RB survivors. Cronbach's alpha coefficients for all VRQOL scales ranged from 0.83 to 0.95. Medium to large correlations were found between all NIH Toolbox® VRQOL scales and the PROMIS®-29 measures. Depression and ability to participate in social roles and activities from the PROMIS®-29 Profile accounted for 38% of the variance in overall QOL with the psychosocial domain of the NIH Toolbox® VRQOL explaining 16% of the variance. CONCLUSION: VRQOL is impaired in bilateral RB survivors. VRQOL is associated substantially with the PROMIS-29 generic HRQOL measure but has significant unique associations with overall QOL. The NIH Toolbox® VRQOL measure provides important information about the vision-related effects on daily life of AYA RB survivors.

Preliminary evaluation of the Chinese version of the patient-reported outcomes measurement information system 29-item profile in patients with aortic dissection.

BACKGROUND: The Patient-Reported Outcomes Measurement Information System 29-item Profile (PROMIS-29) has been widely used to measure health outcomes from the patient's perspective. It has not been validated in adults with aortic disease. The aim of this study was to explore the reliability and validity of the Chinese PROMIS-29 among patients undergoing surgery for aortic dissection (AD). METHODS: A cross-sectional design was applied. Eligible patients completed a questionnaire that contained the PROMIS-29 and legacy measures, including the Short Form-12 Health Survey (SF-12), 8-item Somatic Symptom Scale (SSS-8), Generalized Anxiety Disorder-2 (GAD-2), and Patient Health Questionnaire-2 (PHQ-2). The structural validity of the PROMIS-29 was evaluated using confirmatory factor analysis (CFA). Reliability was evaluated with Cronbach's α. Construct validity was assessed by calculating Spearman's rank correlations and comparing known-group differences. RESULTS: In total, a sample of 327 AD patients was included in the final analysis. Most of them were male (89%) with a mean age of 52.7 (± 10.3). CFA revealed good model fit of the seven-factor structure within PROMIS-29, as well as most domains in single-factor analysis. Reliability was confirmed with Cronbach's α > 0.90. Correlations between comparable domains of the PROMIS-29 and those of legacy questionnaires and most know-group comparisons were observed as hypothesized. CONCLUSIONS: This study found evidence for acceptable structural validity, construct validity and internal consistency of the PROMIS-29 in a sample of AD patients. It can be applied to AD survivors by researchers or clinicians, measuring outcomes after surgery and identifying those with worse health status.

Evidence on the relationship between PROMIS-29 and EQ-5D: a literature review.

PURPOSE: EQ-5D and PROMIS-29 are both concise, generic measures of patient-reported outcomes accompanied by preference weights that allow the estimation of quality-adjusted life years (QALYs). Both instruments are candidates for use in economic evaluation. However, they have different features in terms of the domains selected to measure respondents' self-perceived health and the characteristics of (and methods used to obtain) the preference weights. It is important to understand the relationship between the instruments and the implications of choosing either for the evidence used in decision-making. This literature review aimed to synthesise existing evidence on the relationship between PROMIS-29 (and measures based on it, such as PROMIS-29+2) and EQ-5D (both EQ-5D-3L and EQ-5D-5L). METHODS: A literature review was conducted in PubMed and Web of Science to identify studies investigating the relationship between PROMIS-29 and EQ-5D-based instruments. RESULTS: The literature search identified 95 unique studies, of which nine studies met the inclusion criteria, i.e. compared both instruments. Six studies examined the relationship between PROMIS-29 and EQ-5D-5L. Three main types of relationship have been examined in the nine studies: (a) comparing PROMIS-29 and EQ-5D as descriptive systems; (b) mapping PROMIS-29 domains to EQ-5D utilities; and (c) comparing and transforming PROMIS-29 utilities to EQ-5D utilities. CONCLUSION: This review has highlighted the lack of evidence regarding the relationship between PROMIS-29 and EQ-5D. The impact of choosing either instrument on the evidence used in cost-effectiveness analysis is currently unclear. Further research is needed to understand the relationship between the two instruments.

A protocol for chronic pain outcome measurement enhancement by linking PROMIS-29 scale to legacy measures and improving chronic pain stratification.

BACKGROUND: Substantial investment has gone into research on the efficacy and effectiveness of pharmaceutical and nonpharmacologic interventions for chronic pain. However, synthesizing this extensive literature is challenging because of differences in the outcome measures used in studies of similar or competing interventions. The absence of a common metric makes it difficult to replicate findings, pool data from multiple studies, resolve conflicting conclusions, or reach consensus when interpreting findings. METHODS: This study has a seven-member Advisory Council of chronic pain experts. Preliminary analyses will be performed on data from several large existing datasets; intermediate analyses will be performed using primary data collected from Amazon's Mechanical Turk (MTurk); and cross-validation will use primary data collected from a nationally-representative, probability-based panel. Target sample size for both primary datasets is 1500. The three study aims are as follows: Aim 1 will develop and evaluate links between the 29-item Patient-Reported Outcomes Measurement Information System (PROMIS®-29) and legacy measures used for chronic pain such as the Roland-Morris Disability Questionnaire (RMDQ) and the Oswestry Disability Index (ODI). We will assess the best method of score linking and create crosswalk tables. Aim 2 will evaluate and refine the Impact Stratification Score (ISS) based on 9 PROMIS-29 items and proposed by the NIH Research Task Force on chronic low back pain. We will evaluate the ISS in terms of other indicators of condition severity and patient prognosis and outcomes and identify cut-points to stratify chronic pain patients into subgroups. Aim 3 will evaluate the strengths and limitations of MTurk as a data collection platform for estimating chronic pain by comparing its data to other data sources. DISCUSSION: The accomplishment of Aims 1 and 2 will allow direct comparison of results across past and future studies of chronic pain. These comparisons will help us to understand different results from seemingly similar studies, and to determine the relative effectiveness of all pharmaceutical and nonpharmacologic interventions for chronic pain across different trials. Aim 3 findings will provide valuable information to researchers about the pros and cons of using the MTurk platform for research-based data collection. TRIAL REGISTRATION: ClinicalTrials.gov: NCT04426812 ; June 10, 2020.

Prediction of Oswestry Disability Index (ODI) using PROMIS-29 in a national sample of lumbar spine surgery patients.

PURPOSE: The primary purpose was to examine the measurement properties of the PROMIS-29 to better understand its use in patients undergoing spine surgery. A secondary objective was to calculate a predictive equation between PROMIS-29 and ODI, to allow clinicians and researchers to determine a predicted ODI score based on PROMIS short form scores. METHODS: 719 patients with PROMIS v2.0 and ODI responses were queried from the quality outcomes database. Validity was assessed using coefficient omega, ceiling/floor effects, and confirmatory factor analysis. Multivariable regression predicting ODI scores from PROMIS-29 domains was used to create a predictive equation. Predicted ODI scores were plotted against ODI scores to determine how well PROMIS-29 domains predicted ODI. RESULTS: Results showed good reliability and validity of PROMIS-29 in patients undergoing lumbar spine surgery: convergent and discriminant validity, low floor/ceiling effects, and unidimensional domains. The conversion equation used 6 PROMIS-29 domains (ODI% =  37.847- 1.475*[PFraw] + 1.842*[PAINraw] + 0.557*[SDraw] - 0.642*[SRraw] + 0.478*[PIraw] + 0.295*[DEPraw]). Correlation between the predicted and actual ODI scores was R = 0.88, R2 = 0.78, suggesting that the equation predicted ODI scores that are strongly correlated with actual ODI scores. CONCLUSIONS: Good measurement properties support the use of PROMIS-29 in spine surgery patients. Findings suggest accurate ODI scores can be derived from PROMIS-29 domains. Clinicians who want to move from ODI to PROMIS-29 can use this equation to obtain estimated ODI scores when only collecting PROMIS-29. These results support the idea that PROMIS-29 domains have the potential to replace disease-specific traditional PROMs.

Validation of the Patient-Reported Outcomes Measurement Information System (PROMIS)-57 and -29 item short forms among kidney transplant recipients.

OBJECTIVE: The Patient-Reported Outcomes Measurement Information System (PROMIS) aims to address the lack of generalizable and universal measure of patient-reported outcomes to assess health-related quality of life. It has not been validated for patients with chronic kidney disease. We aim to validate the PROMIS-57 and PROMIS-29 questionnaires among kidney transplant recipients. METHODS: A cross-sectional sample of stable kidney transplant recipients was recruited. Each participant completed PROMIS-57, a 57-question instrument covering seven domains-physical function, anxiety, depression, fatigue, pain, sleep disturbance, and social functioning-alongside validated legacy questionnaires [Patient Health Questionnaire (PHQ9), General Anxiety Disorder (GAD7), Edmonton Symptom Assessment Scale revised (ESASr), and Kidney Disease Quality of Life (KDQoL-36)]. PROMIS-29, a 29-question instrument, is nested within PROMIS-57 and measures the same domains. Structural validity of PROMIS was assessed with confirmatory factor analysis, reported using the Comparative Fit Index (CFI). Construct validity was assessed with known-groups comparisons. Internal consistency was evaluated with Cronbach's α and convergent validity was assessed with Spearman's Rho. Test-retest reliability was assessed through the intraclass correlation coefficient (ICC). RESULTS: Mean (± SD) age of the 177 participants was 50 (± 17), 57% were male and 55% Caucasian. Internal consistency of each domain was high (Cronbach's α > 0.88). Confirmatory factor analysis showed good structural validity for most domains (CFI > 0.95, RMSEA < 0.05). Test-retest reliability indicated good agreement (ICC > 0.6). Known-groups comparisons by clinical and socio-demographic differences were found as hypothesized. CONCLUSIONS: Our results provide evidence that PROMIS-57 and PROMIS-29 are highly reliable and valid instruments among kidney transplant recipients. We propose it as a valuable tool to assess important domains of the illness experience.

Adapting summary scores for the PROMIS-29 v2.0 for use among older adults with multiple chronic conditions.

PURPOSE: The patient-reported outcomes measurement information system 29-item profile (PROMIS-29 v2.0) is a widely used health-related quality of life (HRQoL) measure. Summary scores for physical and mental HRQoL have recently been developed for the PROMIS-29 using a general population. Our purpose was to adapt these summary scores to a population of older adults with multiple chronic conditions. METHODS: We collected the PROMIS-29 v2.0 for 1359 primary care patients age 65+ with at least 2 of 13 chronic conditions. PROMIS-29 has 7 domains, plus a single-item pain intensity scale. We used exploratory factor analysis (EFA), followed by confirmatory factor analysis (CFA), to examine the number of factors that best captured these eight scores. We used previous results from a recent study by Hays et al. (Qual Life Res 27:1885-1891, 2018) to standardize scoring coefficients, normed to the general population. RESULTS: The mean age was 80.7, and 67% of participants were age 80 or older. Our results indicated a 2-factor solution, with these factors representing physical and mental HRQoL, respectively. We call these factors the physical health score (PHS) and the mental health score (MHS). We normed these summary scores to the general US population. The mean MHS for our population of was 50.1, similar to the US population, while the mean PHS was 42.2, almost a full standard deviation below the US population. CONCLUSIONS: We describe the adaptation of physical and mental health summary scores of the PROMIS-29 for use with a population of older adults with multiple chronic conditions.

Affected health domains in patients with brainstem cavernous malformations.

BACKGROUND: Brainstem cavernous malformations (CM) carry high risks of hemorrhage and neurologic morbidity. While much is published on physical effects of brainstem CM, very little is known about these patients' quality of life. This study aimed to assess the quality of life PROMIS-29 health domains of brainstem CM patients and identify quality of life predictors. METHODS: This was a cross-sectional study of adult patients with at least one brainstem CM identified by advertising on the Angioma Alliance website and from our institutional CM registry. A web-based questionnaire was administered and included self-reported information about the patient, cavernous malformation, residual clinical symptoms, and treatment. In addition, patients filled out the PROMIS-29 (version 1.0). The PROMIS-29 has 7 health domains and is standardized against the general population. We defined impaired quality of life as at least one out of 7 abnormal domains and used a 1 standard deviation cutoff for abnormal. We verified clinical and radiographic data to self-reported data in 28.8% of patients. RESULTS: A total of 104 patients (mean age of 46.5 ± 11.5 years; 77.9% females) were recruited. Most (82.7%) reported at least one symptomatic hemorrhagic event and 36.5% reported at least 1 surgical procedure. At least one abnormal PROMIS domain was present in 64.4% of patients with fatigue (34.6%), anxiety (35.6%), social (28.2%), and physical (27.9%) domains being the most common. Among patients with a Rankin Score of 0-2, 55% had at least one abnormal domain. Gait difficulty, but not age, sex, or surgery predicted impaired quality of life. CONCLUSION: More than half of patients with brainstem CM have impaired quality of life. Fatigue, anxiety, and social function, in addition to physical dysfunction, are common; practitioners should be aware of these concerns. PROMIS-29 provides additional information than modified Rankin Score and should be considered in clinical trials and when assessing treatment outcomes until a disease-specific outcome tool is available.

PROMIS®-29 v2.0 profile physical and mental health summary scores.

PURPOSE: The PROMIS-29 v2.0 profile assesses pain intensity using a single 0-10 numeric rating item and seven health domains (physical function, fatigue, pain interference, depressive symptoms, anxiety, ability to participate in social roles and activities, and sleep disturbance) using four items per domain. This paper describes the development of physical and mental health summary scores for the PROMIS-29 v2.0. METHOD: We conducted factor analyses of PROMIS-29 scales on data collected from two internet panels (n = 3000 and 2000). RESULTS: Confirmatory factor analyses provided support for a physical health factor defined by physical function, pain (interference and intensity), and ability to participate in social roles and activities, and a mental health factor defined primarily by emotional distress (anxiety and depressive symptoms). Reliabilities for these two summary scores were 0.98 (physical health) and 0.97 (mental health). Correlations of the PROMIS-29 v2.0 physical and mental health summary scores with chronic conditions and other health-related quality of life measures were consistent with a priori hypotheses. CONCLUSIONS: This study develops and provides preliminary evidence supporting the reliability and validity of PROMIS-29 v2.0 physical and mental health summary scores that can be used in future studies to assess impacts of health care interventions and track changes in health over time. Further evaluation of these and alternative summary measures is recommended.

Physical Function and Health-Related Quality of Life in Overweight and Obese Rural Women Who Meet Physical Activity Recommendations.

Associations of physical function and health-related quality of life in 297 rural women, ages 40-69 years (body mass index of 28-45 kg/m2) who met activity criterion were examined using cross-sectional baseline data from the Women Weigh-in for Wellness trial (ClinicalTrials.gov NCT01307644). Assessments included demographics, 400-m walk, timed chair stands, and health-related quality of life using the Patient-Reported Outcomes Measurement Information System (PROMIS-29). Women were classified as active if they had ≥500 metabolic equivalent·min/week by the Behavioral Risk Factor Surveillance System survey (n = 103, 34.7%), or ≥150 weekly minutes of greater than or equal to moderate intensity activity by accelerometry (n = 222, 74.8%). Ordinal logistic regression models adjusted for age, comorbidities, and body mass index were calculated. Meeting activity guidelines per self-report was associated with perceptions of less fatigue and greater satisfaction with social roles, whereas meeting guidelines as measured by accelerometry was associated with faster gait speed.