Comparative Effectiveness of Aspirin Dosing in Cardiovascular Disease.

BACKGROUND: The appropriate dose of aspirin to lower the risk of death, myocardial infarction, and stroke and to minimize major bleeding in patients with established atherosclerotic cardiovascular disease is a subject of controversy. METHODS: Using an open-label, pragmatic design, we randomly assigned patients with established atherosclerotic cardiovascular disease to a strategy of 81 mg or 325 mg of aspirin per day. The primary effectiveness outcome was a composite of death from any cause, hospitalization for myocardial infarction, or hospitalization for stroke, assessed in a time-to-event analysis. The primary safety outcome was hospitalization for major bleeding, also assessed in a time-to-event analysis. RESULTS: A total of 15,076 patients were followed for a median of 26.2 months (interquartile range [IQR], 19.0 to 34.9). Before randomization, 13,537 (96.0% of those with available information on previous aspirin use) were already taking aspirin, and 85.3% of these patients were previously taking 81 mg of daily aspirin. Death, hospitalization for myocardial infarction, or hospitalization for stroke occurred in 590 patients (estimated percentage, 7.28%) in the 81-mg group and 569 patients (estimated percentage, 7.51%) in the 325-mg group (hazard ratio, 1.02; 95% confidence interval [CI], 0.91 to 1.14). Hospitalization for major bleeding occurred in 53 patients (estimated percentage, 0.63%) in the 81-mg group and 44 patients (estimated percentage, 0.60%) in the 325-mg group (hazard ratio, 1.18; 95% CI, 0.79 to 1.77). Patients assigned to 325 mg had a higher incidence of dose switching than those assigned to 81 mg (41.6% vs. 7.1%) and fewer median days of exposure to the assigned dose (434 days [IQR, 139 to 737] vs. 650 days [IQR, 415 to 922]). CONCLUSIONS: In this pragmatic trial involving patients with established cardiovascular disease, there was substantial dose switching to 81 mg of daily aspirin and no significant differences in cardiovascular events or major bleeding between patients assigned to 81 mg and those assigned to 325 mg of aspirin daily. (Funded by the Patient-Centered Outcomes Research Institute; ADAPTABLE ClinicalTrials.gov number, NCT02697916.).

How Healthcare Providers Decide on a Referral Location in Telephone Triage: A Cross-sectional Study.

BACKGROUND: Approximately 25% of patients that present to the emergency department (ED) do so after contact with a healthcare professional. Many of these patients could be effectively managed in non-ED ambulatory settings. Aligning patients with safe and appropriate outpatient care has the potential to improve ED overcrowding, patient experience, outcomes, and costs. Little is understood about how healthcare providers approach triage decision-making and what factors influence their choices. OBJECTIVES: To evaluate how providers think about patient triage, and what factors influence their decision-making when triaging patient calls. DESIGN: Cross-sectional survey-based study in which participants make triage decisions for hypothetical clinical scenarios. PARTICIPANTS: Healthcare providers in the specialties of internal medicine, family medicine, or emergency medicine within a large integrated healthcare system in the Southeast. MAIN MEASURES: Differences in individual training and practice characteristics were used to compare observed differences in triage outcomes. Free-response data were evaluated to identify themes and factors affecting triage decisions. KEY RESULTS: Out of 72 total participants, substantial variability in triage decision-making was observed among all patient cases. Attending physicians triaged 1.4 fewer cases to ED care compared with resident physicians (p < 0.001, 95% CI 0.62-2.1). Academic attendings demonstrated a trend toward fewer cases to ED care compared with community attendings (0.61, p = 0.188, 95% CI - 0.31-1.5). Qualitative data highlighted the complex considerations in provider triage and led to the development of a novel conceptual model to describe the cognitive triage process and the main influencing factors. CONCLUSIONS: Triage decision-making for healthcare providers is influenced by many factors related to clinical resources, care coordination, patient factors, and clinician factors. The complex considerations involved yield variability in triage decisions that is largely unexplained by descriptive physician factors.

Health Literacy and Health-care Resource Utilization Following Gastrostomy Tube Placement in Pediatric Patients.

INTRODUCTION: Parental health literacy and neighborhood socioeconomic disadvantage are associated with adverse health outcomes and increased health-care resource utilization in children. We sought to evaluate the association between community-level health literacy and neighborhood socioeconomic disadvantage and their relationships with outcomes of pediatric patients undergoing gastrostomy tube (GT) placement. METHODS: Pediatric patients who underwent GT placement from 2000 to 2019 were identified using the IBM MarketScan Research database. Claims data were merged with the health literacy index (HLI) and area deprivation index (ADI), measures of community-level health literacy and neighborhood socioeconomic disadvantage, respectively. We used multivariate logistic regression to estimate factors associated with postoperative 30- and 90-day ED visits (EVs) and 30-day readmissions. RESULTS: A total of 4374 pediatric patients underwent GT placement. In this cohort, 6.1% and 11.4% had 30-day and 90-day EV; and 30-day readmissions in 19.75%. HLI was lower in those with 30-(244.6 ± 6.1 versus 245.4 ± 6.1; P = 0.0482) and 90-(244.5 ± 5.8 versus 245.5 ± 6.1; P = 0.001) day EV, and 30-day readmission (244.5 ± 5.56 versus 245.4 ± 6.1; P = 0.001) related to GT. ADI was lower in those with 90-day EV (55.1 ± 13.1 versus 55.9 ± 14.6; P = 0.0244). HLI was associated with decreased odds of 30- (adjusted odds ratio: 0.968; 95% confidence interval: 0.941-0.997) and 90-day (adjusted odds ratio: 0.975; 95% confidence interval: 0.954-0.998) EV following GT placement. ADI was also significantly associated with 30 and 90-day EV following GT placement. CONCLUSIONS: In pediatric patients undergoing GT placement, higher ecologically-measured health literacy and neighborhood socioeconomic disadvantage are associated with decreased health-care resource utilization, as evidenced by decreased ED visits. Future studies should focus on the role of individual parental health literacy in outcomes of pediatric surgical patients.

Comparison of the effectiveness and safety of 2 aspirin doses in secondary prevention of cardiovascular outcomes in patients with chronic kidney disease: A subgroup analysis of ADAPTABLE.

BACKGROUND: Among patients with established cardiovascular disease, the ADAPTABLE trial found no significant differences in cardiovascular events and bleeding rates between 81 mg and 325 mg of aspirin (ASA) daily. In this secondary analysis from the ADAPTABLE trial, we studied the effectiveness and safety of ASA dosing in patients with a history of chronic kidney disease (CKD). METHODS: ADAPTABLE participants were stratified based on the presence or absence of CKD, defined using ICD-9/10-CM codes. Within the CKD group, we compared outcomes between patients taking ASA 81 mg and 325 mg. The primary effectiveness outcome was defined as a composite of all cause death, myocardial infarction, or stroke and the primary safety outcome was hospitalization for major bleeding. Adjusted Cox proportional hazard models were utilized to report differences between the groups. RESULTS: After excluding 414 (2.7%) patients due to missing medical history, a total of 14,662 patients were included from the ADAPTABLE cohort, of whom 2,648 (18%) patients had CKD. Patients with CKD were older (median age 69.4 vs 67.1 years; P < .0001) and less likely to be white (71.5% vs 81.7%; P < .0001) when compared to those without CKD. At a median follow-up of 26.2 months, CKD was associated with an increased risk of both the primary effectiveness outcome (adjusted HR 1.79 [1.57, 2.05] P < .001 and the primary safety outcome (adjusted HR 4.64 (2.98, 7.21), P < .001 and P < .05, respectively) regardless of ASA dose. There was no significant difference in effectiveness (adjusted HR 1.01 95% CI 0.82, 1.23; P = .95) or safety (adjusted HR 0.93; 95% CI 0.52, 1.64; P = .79) between ASA groups. CONCLUSIONS: Patients with CKD were more likely than those without CKD to have adverse cardiovascular events or death and were also more likely to have major bleeding requiring hospitalization. However, there was no association between ASA dose and study outcomes among these patients with CKD.

Health-related quality of life profiles in adolescents and young adults with chronic conditions.

PURPOSE: To assess health-related quality of life (HRQOL) among adolescents and young adults (AYAs) with chronic conditions. METHODS: AYAs (N = 872) aged 14-20 years completed NIH's Patient-Reported Outcomes Measurement Information System® (PROMIS®) measures of physical function, pain interference, fatigue, social health, depression, anxiety, and anger. Latent profile analysis (LPA) was used to group AYAs into HRQOL profiles using PROMIS T-scores. The optimal number of profiles was determined by model fit statistics, likelihood ratio test, and entropy. Multinomial logistic regression models were used to examine how LPA's HRQOL profile membership was associated with patient demographic and chronic conditions. The model prediction accuracy on profile membership was evaluated using Huberty's I index with a threshold of 0.35 for good effect. RESULTS: A 4-profile LPA model was selected. A total of 161 (18.5%), 256 (29.4%), 364 (41.7%), and 91 (10.4%) AYAs were classified into Minimal, Mild, Moderate, and Severe HRQOL Impact profiles. AYAs in each profile had distinctive mean scores with over a half standard deviation (5-points in PROMIS T-scores) of difference between profiles across most HRQOL domains. AYAs who were female or had conditions such as mental health condition, hypertension, and self-reported chronic pain were more likely to be in the Severe HRQOL Impact profile. The Huberty's I index was 0.36. CONCLUSIONS: Approximately half of AYAs with a chronic condition experience moderate to severe HRQOL impact. The availability of risk prediction models for HRQOL impact will help to identify AYAs who are in greatest need of closer clinical care follow-up.

Applying latent profile analysis to identify adolescents and young adults with chronic conditions at risk for poor health-related quality of life.

The impact of chronic diseases on health-related quality of life (HRQOL) in adolescents and young adults (AYAs) is understudied. Latent profile analysis (LPA) can identify profiles of AYAs based on their HRQOL scores reflecting physical, mental, and social well-being. This paper will (1) demonstrate how to use LPA to identify profiles of AYAs based on their scores on multiple HRQOL indicators; (2) explore associations of demographic and clinical factors with LPA-identified HRQOL profiles of AYAs; and (3) provide guidance on the selection of adult or pediatric versions of Patient-Reported Outcomes Measurement Information System® (PROMIS®) in AYAs. A total of 872 AYAs with chronic conditions completed the adult and pediatric versions of PROMIS measures of anger, anxiety, depression, fatigue, pain interference, social health, and physical function. The optimal number of LPA profiles was determined by model fit statistics and clinical interpretability. Multinomial regression models examined clinical and demographic factors associated with profile membership. As a result of the LPA, AYAs were categorized into 3 profiles: Minimal, Moderate, and Severe HRQOL Impact profiles. Comparing LPA results using either the pediatric or adult PROMIS T-scores found approximately 71% of patients were placed in the same HRQOL profiles. AYAs who were female, had hypertension, mental health conditions, chronic pain, and those on medication were more likely to be placed in the Severe HRQOL Impact Profile. Our findings may facilitate clinicians to screen AYAs who may have low HRQOL due to diseases or treatments with the identified risk factors without implementing the HRQOL assessment.

Association between Food Insecurity and Health-Related Quality of Life: a Nationally Representative Survey.

BACKGROUND: Food insecurity, limited or uncertain access to enough food for an active, healthy life, affected over 37 million Americans in 2018. Food insecurity is likely to be associated with worse health-related quality of life (HRQoL), but this association has not been measured with validated instruments in nationally representative samples. Given growing interest understanding food insecurity's role in health outcomes, it would be useful to learn what HRQoL measures best capture the experience of those with food insecurity. OBJECTIVE: To determine the association between food insecurity and several validated HRQoL instruments in US adults. DESIGN: Cross-sectional. PARTICIPANTS: US adults (age ≥ 18), weighted to be nationally representative. MAIN MEASURES: Food insecurity was assessed with three items derived from the USDA Household Food Security Survey Module. HRQoL was assessed using PROMIS-Preference (PROPr), which contains 7 PROMIS domains, self-rated health (SRH), Euroqol-5D-5L (EQ-5D), Health Utilities Index (HUI), and Short Form-6D (SF-6D). KEY RESULTS: In December 2017, 4142 individuals completed at least part of the survey (31% response rate), of whom 4060 (98.0%) reported food security information. Of survey respondents, 51.7% were women, 12.5% self-identified as black, 15.8% were Hispanic, and 11.0% did not have a high school diploma. 14.1% of respondents reported food insecurity. In adjusted analyses, food insecurity was associated with worse HRQoL across all instruments and PROMIS domains (p < .0001 for all). The magnitude of the difference between food-insecure and food-secure participants was largest with the SF-6D, EQ-5D, and PROPr; among individual PROMIS domain scores, the largest difference was for ability to participate in social roles. CONCLUSIONS: Food insecurity is strongly associated with worse HRQoL, with differences between food-secure and food-insecure individuals best measured using the SF-6D, EQ-5D, and PROPr. Future work should develop a specific instrument to measure changes in HRQoL in food insecurity interventions.

Clinician engagement in the ADAPTABLE (Aspirin Dosing: A Patient-centric Trial Assessing Benefits and Long-Term Effectiveness) trial.

BACKGROUND: ADAPTABLE (Aspirin Dosing: A Patient-centric Trial Assessing Benefits and Long-Term Effectiveness) is a pragmatic clinical trial examining high-dose versus low-dose aspirin among patients with cardiovascular disease. ADAPTABLE is leveraging novel approaches for clinical trial conduct to expedite study completion and reduce costs. One pivotal aspect of the trial conduct is maximizing clinician engagement. METHODS/RESULTS: Clinician engagement can be diminished by barriers including time limitations, insufficient research infrastructure, lack of research training, inadequate compensation for research activities, and clinician beliefs. We used several key approaches to boost clinician engagement such as empowering clinician champions, including a variety of clinicians, nurses and advanced practice providers, periodic newsletters and coordinated team celebrations, and deploying novel technological solutions. Specifically, some centers generated electronic health records-based best practice advisories and research dashboards. Future large pragmatic trials will benefit from standardization of the various clinician engagement strategies especially studies leveraging electronic health records-based approaches like research dashboards. Financial or academic "credit" for clinician engagement in clinical research may boost participation rates in clinical studies. CONCLUSION: Maximizing clinician engagement is important for the success of clinical trials; the strategies employed in the ADAPTABLE trial may serve as a template for future pragmatic studies.

Development of a person-centered interdisciplinary plan-of-care program for dialysis.

BACKGROUND: Dialysis care often focuses on outcomes that are of lesser importance to patients than to clinicians. There is growing international interest in individualizing care based on patient priorities, but evidence-based approaches are lacking. The objective of this study was to develop a person-centered dialysis care planning program. To achieve this objective we performed qualitative interviews, responsively developed a novel care planning program and then assessed program content and burden. METHODS: We conducted 25 concept elicitation interviews with US hemodialysis patients, care partners and care providers, using thematic analysis to analyze transcripts. Interview findings and interdisciplinary stakeholder panel input informed the development of a new care planning program, My Dialysis Plan. We then conducted 19 cognitive debriefing interviews with patients, care partners and care providers to assess the program's content and face validities, comprehensibility and burden. RESULTS: We identified five themes in concept elicitation interviews: feeling boxed in by the system, navigating dual lives, acknowledging an evolving identity, respecting the individual as a whole person and increasing individualization to enhance care. We then developed a person-centered care planning program and supporting materials that underwent 32 stakeholder-informed iterations. Data from subsequent cognitive interviews led to program revisions intended to improve contextualization and understanding, decrease burden and facilitate implementation. CONCLUSIONS: My Dialysis Plan is a content-valid, person-centered dialysis care planning program that aims to promote care individualization. Investigation of the program's capacity to improve patient experiences and outcomes is needed.

Practice level factors associated with enhanced engagement with practice facilitators; findings from the heart health now study.

BACKGROUND: Practice facilitation is a promising strategy to enhance care processes and outcomes in primary care settings. It requires that practices and their facilitators engage as teams to drive improvement. In this analysis, we explored the practice and facilitator factors associated with greater team engagement at the mid-point of a 12-month practice facilitation intervention focused on implementing cardiovascular prevention activities in practice. Understanding factors associated with greater engagement with facilitators in practice-based quality improvement can assist practice facilitation programs with planning and resource allocation. METHODS: One hundred thirty-six ambulatory care small to medium sized primary care practices that participated in the EvidenceNow initiative's NC Cooperative, named Heart Health Now (HHN), fit the eligibility criteria for this analysis. We explored the practice and facilitator factors associated with greater team engagement at the mid-point of a 12-month intervention using a retrospective cohort design that included baseline survey data, monthly practice activity implementation data and information about facilitator's experience. Generalized linear mixed-effects models (GLMMs) identified variables associated with greater odds of team engagement using an ordinal scale for level of team engagement. RESULTS: Among our practice cohort, over half were clinician-owned and 27% were Federally Qualified Health Centers. The mean number of clinicians was 4.9 (SD 4.2) and approximately 40% of practices were in Medically Underserved Areas (MUA). GLMMs identified a best fit model. The Model presented as odd ratios and 95% confidence intervals suggests greater odds ratios of higher team engagement with greater practice QI leadership 17.31 (5.24-57.19), [0.00], and practice location in a MUA 7.25 (1.8-29.20), [0.005]. No facilitator characteristics were independently associated with greater engagement. CONCLUSIONS: Our analysis provides information for practice facilitation stakeholders to consider when considering which practices may be more amendable to embracing facilitation services.

PROMIS® Adult Health Profiles: Efficient Short-Form Measures of Seven Health Domains.

BACKGROUND: There is a need for valid self-report measures of core health-related quality of life (HRQoL) domains. OBJECTIVE: To derive brief, reliable and valid health profile measures from the Patient Reported Outcomes Measurement Information System® (PROMIS®) item banks. METHODS: Literature review, investigator consensus process, item response theory (IRT) analysis, and expert review of scaling results from multiple PROMIS data sets. We developed 3 profile measures ranging in length from 29 to 57 questions. These profiles assess important HRQoL domains with highly informative subsets of items from respective item banks and yield reliable information across mild-to-severe levels of HRQoL experiences. Each instrument assesses the domains of pain interference, fatigue, depression, anxiety, sleep disturbance, physical function, and social function using 4-, 6-, and 8-item short forms for each domain, and an average pain intensity domain score, using a 0-10 numeric rating scale. RESULTS: With few exceptions, all domain short forms within the profile measures were highly reliable across at least 3 standard deviation (30 T-score) units and were strongly correlated with the full bank scores. Construct validity with ratings of general health and quality of life was demonstrated. Information to inform statistical power for clinical and general population samples is also provided. CONCLUSIONS: Although these profile measures have been used widely, with summary scoring routines published, description of their development, reliability, and initial validity has not been published until this article. Further evaluation of these measures and clinical applications are encouraged.

PROMIS pediatric measures validated in a longitudinal study design in pediatric oncology.

PURPOSE: This study assessed the responsiveness to change over time and theorized associations of Patient-Reported Outcomes Measurement Information System (PROMIS) pediatric measures in children and adolescents in treatment for cancer to determine measure readiness for use in cancer clinical trials. METHODS: We administered eight PROMIS (three symptom, two psychological, and three performance) pediatric short-form measures and the Symptom Distress Scale (SDS) to 96 pediatric oncology patients at three time points during a course of chemotherapy. We assessed responsiveness using paired t tests and generalized estimating equation (GEE) models, calculated standardized response mean (SRM) values for PROMIS measures, and examined scores over three data points (T1-T3). Guided by the theory of unpleasant symptoms (TOUS), we examined associations among the PROMIS measures, the SDS, and other variables using GEE. RESULTS: The paired t tests showed statistically significant changes in two psychological measures and one performance measure from T1 to T2; three symptom, two psychological and two performance measures from T2 to T3; and three symptom and two psychological measures from T1 to T3. Findings from GEE models indicate PROMIS pediatric measures had statistically significant short-term and long-term changes, controlling for demographic and clinical variables. One performance measure did not achieve significant change at any time point. We found positive support for theorized relationships in the TOUS. CONCLUSIONS: Most of the PROMIS pediatric measures demonstrated changes over time and had significant relationships as theorized, thus supporting concurrent and construct validity of these measures when administered to pediatric oncology patients during a course of chemotherapy. This evidence supports the measures' readiness for use in clinical trials.

Development and content validity of a hemodialysis symptom patient-reported outcome measure.

PURPOSE: To describe the process and preliminary qualitative development of a new symptom-based patient-reported outcome measure (PROM) intended to assess hemodialysis treatment-related physical symptoms. METHODS: Experienced interviewers conducted concept elicitation and cognitive debriefing interviews with individuals receiving in-center hemodialysis in the United States. Concept elicitation interviews involved eliciting spontaneous reports of symptom experiences and probing to further explore and confirm concepts. We used patient-reported concepts to generate a preliminary symptom PROM. We conducted 3 rounds of cognitive debriefing interviews to evaluate symptom relevance, item interpretability, and draft item structure. We iteratively refined the measure based on cognitive interview findings. RESULTS: Forty-two adults receiving in-center hemodialysis participated in the concept elicitation interviews. A total of 12 symptoms were reported by > 10% of interviewees. We developed a 13-item initial draft instrument for testing in 3 rounds of cognitive interviews with an additional 52 hemodialysis patients. Participant responses and feedback during cognitive interviews led to changes in symptom descriptions, division of the single item "nausea/vomiting" into 2 distinct items, removal of daily activity interference items, addition of instructions, and clarification about the recall period, among other changes. CONCLUSIONS: Symptom Monitoring on Renal Replacement Therapy-Hemodialysis (SMaRRT-HD™) is a 14-item PROM intended for use in hemodialysis patents. SMaRRT-HD™ uses a single treatment recall period and a 5-point Likert scale to assess symptom severity. Qualitative interview data provide evidence of its content validity. SMaRRT-HD™ is undergoing additional testing to assess measurement properties and inform measure scoring.

Determining a transitional scoring link between PROMIS® pediatric and adult physical health measures.

PURPOSE: Having independent versions of the PROMIS® scales (for Pediatric and Adults) is problematic as scores cannot be evaluated longitudinally as individuals move from childhood into adulthood. The primary aim of this research project is to use item response theory (IRT) to develop a transitional scoring link (or "crosswalk") between the PROMIS adult and pediatric physical health measures. SETTING: Sample 1 was collected at 6 rehabilitation hospitals in the U.S., and participants in Sample 2 were recruited from public health insurance programs and an online research panel. METHODS: PROMIS pediatric and adult physical function, mobility, upper extremity, fatigue, and pain measures were administered to a sample of 874 individuals aged 14-20 years old with special health needs and a sample of 641 individuals aged 14-25 years with a disability. IRT-based scores were linked using a linear approximation to calibrated projection. RESULTS: Estimated latent variable correlations ranged between 0.84 and 0.95 for the PROMIS pediatric and adult scores. Root Expected Mean Square Difference values were below the 0.08 threshold in all cases except when comparing genders on the Mobility (0.097) and Pain (0.10) scales in the special health care needs sample. Sum score conversion tables for the pediatric and adult PROMIS measures are presented. CONCLUSIONS: The linking coefficients can be used to calculate scale scores on PROMIS adult measures from pediatric measure scores and vice versa. This may lead to more accurate measurement in cross-sectional studies spanning multiple age groups or longitudinal studies that require comparable measurement across distinct developmental stages.

Organizational Leadership and Adaptive Reserve in Blood Pressure Control: The Heart Health NOW Study.

PURPOSE: Our purpose was to assess whether a practice's adaptive reserve and high leadership capability in quality improvement are associated with population blood pressure control. METHODS: We divided practices into quartiles of blood pressure control performance and considered the top quartile as the benchmark for comparison. Using abstracted clinical data from electronic health records, we performed a cross-sectional study to assess the association of top quartile hypertension control and (1) the baseline practice adaptive reserve (PAR) scores and (2) baseline practice leadership scores, using modified Poisson regression models adjusting for practice-level characteristics. RESULTS: Among 181 practices, 46 were in the top quartile, which averaged 68% or better blood pressure control. Practices with higher PAR scores compared with lower PAR scores were not more likely to reside in the top quartile of performance (prevalence ratio [PR] = 1.92 for highest quartile; 95% CI, 0.9-4.1). Similarly, high quality improvement leadership capability compared with lower capability did not predict better blood pressure control performance (PR = 0.94; 95% CI, 0.57-1.56). Practices with higher proportions of commercially insured patients were more likely than practices with lower proportions of commercially insured patients to have top quartile performance (37% vs 26%, P =.002), whereas lower proportions of the uninsured (8% vs 14%, P =.055) were associated with better performance. CONCLUSIONS: Our findings show that adaptive reserve and leadership capability in quality improvement implementation are not statistically associated with achieving top quartile practice-level hypertension control at baseline in the Heart Health NOW project. Our findings, however, may be limited by a lack of patient-related factors and small sample size to preclude strong conclusions.

Assessing responsiveness over time of the PROMIS® pediatric symptom and function measures in cancer, nephrotic syndrome, and sickle cell disease.

PURPOSE: Previous studies provided evidence for the validity of the PROMIS Pediatric measures in cross-sectional studies. This study evaluated the ability of the PROMIS Pediatric measures to detect change over time in children and adolescents with cancer, nephrotic syndrome (NS), or sickle cell disease (SCD). METHODS: Participants (8-17 years) completed measures of fatigue, pain interference, anger, anxiety, depressive symptoms, mobility, upper extremity, and peer relationships at three or four time points (T1-T4). Between T1 and T2, children with cancer received chemotherapy and children with SCD experienced a pain exacerbation. Children with NS were first assessed during active disease (T2), with T3 and T4 conducted at disease remission. For the primary analysis of responsiveness, we expected better scores at T3 (recovery) compared to T2 (event) for all diseases. T1 and T4 are also expected to have better scores than T2. Linear mixed models were used and adjusted for time, gender, age, race/ethnicity, education, comorbid conditions, and disease. RESULTS: Enrolled were 96 children with cancer, 121 children with SCD, and 127 children with NS. Fatigue, pain interference, mobility, and upper extremity scores worsened from T1 (baseline) to T2 (event) (p < 0.01), and significantly improved from T2 to T3 and T4 (p < 0.01). Similarly, anxiety and depressive symptoms significantly improved from T2 to T3 and T4 (p < 0.01). CONCLUSIONS: This study provides evidence for the responsiveness of seven PROMIS Pediatric measures to clinical disease state in three chronic illnesses. The findings support use of PROMIS Pediatric measures in clinical research.

Disentangling the Role of Health Care Systems in Producing High-Quality Care.

This Viewpoint examines in-depth 5 features of health care systems that may influence quality of care: pooled resources, centralization, standardization, interprovider coordination, and cross-practice learning.

Do Self-Management Interventions Work in Patients With Heart Failure? An Individual Patient Data Meta-Analysis.

BACKGROUND: Self-management interventions are widely implemented in the care for patients with heart failure (HF). However, trials show inconsistent results, and whether specific patient groups respond differently is unknown. This individual patient data meta-analysis assessed the effectiveness of self-management interventions in patients with HF and whether subgroups of patients respond differently. METHODS AND RESULTS: A systematic literature search identified randomized trials of self-management interventions. Data from 20 studies, representing 5624 patients, were included and analyzed with the use of mixed-effects models and Cox proportional-hazard models, including interaction terms. Self-management interventions reduced the risk of time to the combined end point of HF-related hospitalization or all-cause death (hazard ratio, 0.80; 95% confidence interval [CI], 0.71-0.89), time to HF-related hospitalization (hazard ratio, 0.80; 95% CI, 0.69-0.92), and improved 12-month HF-related quality of life (standardized mean difference, 0.15; 95% CI, 0.00-0.30). Subgroup analysis revealed a protective effect of self-management on the number of HF-related hospital days in patients <65 years of age (mean, 0.70 versus 5.35 days; interaction P=0.03). Patients without depression did not show an effect of self-management on survival (hazard ratio for all-cause mortality, 0.86; 95% CI, 0.69-1.06), whereas in patients with moderate/severe depression, self-management reduced survival (hazard ratio, 1.39; 95% CI, 1.06-1.83, interaction P=0.01). CONCLUSIONS: This study shows that self-management interventions had a beneficial effect on time to HF-related hospitalization or all-cause death and HF-related hospitalization alone and elicited a small increase in HF-related quality of life. The findings do not endorse limiting self-management interventions to subgroups of patients with HF, but increased mortality in depressed patients warrants caution in applying self-management strategies in these patients.

Responsiveness of the PROMIS® measures to changes in disease status among pediatric nephrotic syndrome patients: a Midwest pediatric nephrology consortium study.

BACKGROUND: Nephrotic syndrome represents a condition in pediatric nephrology typified by a relapsing and remitting course, proteinuria and the presence of edema. The PROMIS measures have previously been studied and validated in cross-sectional studies of children with nephrotic syndrome. This study was designed to longitudinally validate the PROMIS measures in pediatric nephrotic syndrome. METHODS: One hundred twenty seven children with nephrotic syndrome between the ages of 8 and 17 years participated in this prospective cohort study. Patients completed a baseline assessment while their nephrotic syndrome was active, a follow-up assessment at the time of their first complete proteinuria remission or study month 3 if no remission occurred, and a final assessment at study month 12. Participants completed six PROMIS measures (Mobility, Fatigue, Pain Interference, Depressive Symptoms, Anxiety, and Peer Relationships), the PedsQL version 4.0, and two global assessment of change items. RESULTS: Disease status was classified at each assessment: nephrotic syndrome active in 100% at baseline, 33% at month 3, and 46% at month 12. The PROMIS domains of Mobility, Fatigue, Pain Interference, Depressive Symptoms, and Anxiety each showed a significant overall improvement over time (p < 0.001). When the PROMIS measures were compared to the patients' global assessment of change, the domains of Mobility, Fatigue, Pain Interference, and Anxiety consistently changed in an expected fashion. With the exception of Pain Interference, change in PROMIS domain scores did not correlate with changes in disease activity. PROMIS domain scores were moderately correlated with analogous PedsQL domain scores. CONCLUSION: This study demonstrates that the PROMIS Mobility, Fatigue, Pain Interference, and Anxiety domains are sensitive to self-reported changes in disease and overall health status over time in children with nephrotic syndrome. The lack of significant anchoring to clinically defined nephrotic syndrome disease active and remission status may highlight an opportunity to improve the measurement of HRQOL in children with nephrotic syndrome through the development of a nephrotic syndrome disease-specific HRQOL measure.

The Medication Optimization Value Proposition: Aligning Teams and Education to Improve Care.

United States health care lags behind other countries in quality and cost. The present health care system is unsustainable, and there is now a quick movement toward value-based care. This article lays out essential care delivery elements, and makes the case for medication optimization to enable new value-based models. Success factors include enhancing team-based care and interdisciplinary education to achieve patient-centered care.