Comparative Effectiveness of Psychotherapy vs Antidepressants for Depression in Heart Failure: A Randomized Clinical Trial.

Importance: Heart failure (HF) affects more than 6 million adults in the US and more than 64 million adults worldwide, with 50% prevalence of depression. Patients and clinicians lack information on which interventions are more effective for depression in HF. Objective: To compare the effectiveness of behavioral activation psychotherapy (BA) vs antidepressant medication management (MEDS) on patient-centered outcomes inpatients with HF and depression. Design, Setting, and Participants: This pragmatic randomized comparative effectiveness trial was conducted from 2018 to 2022, including 1-year follow-up, at a not-for-profit academic health system serving more than 2 million people from diverse demographic, socioeconomic, cultural, and geographic backgrounds. Participant included inpatients and outpatients diagnosed with HF and depression, and data were analyzed as intention-to-treat. Data were analyzed from 2022 to 2023. Interventions: BA is an evidence-based manualized treatment for depression, promoting engagement in personalized pleasurable activities selected by patients. MEDS involves the use of an evidence-based collaborative care model with care managers providing coordination with patients, psychiatrists, and primary care physicians to only administer medications. Main Outcomes and Measures: The primary outcome was depressive symptom severity at 6 months, measured using the Patient Health Questionnaire 9-Item (PHQ-9). Secondary outcomes included physical and mental health-related quality of life (HRQOL), measured using the Short-Form 12-Item version 2 (SF-12); heart failure-specific HRQOL, measured using the Kansas City Cardiomyopathy Questionnaire; caregiver burden, measured with the Caregiver Burden Questionnaire for Heart Failure; emergency department visits; readmissions; days hospitalized; and mortality at 3, 6, and 12 months. Results: A total of 416 patients (mean [SD] age, 60.71 [15.61] years; 243 [58.41%] male) were enrolled, with 208 patients randomized to BA and 208 patients randomized to MEDS. At baseline, mean (SD) PHQ-9 scores were 14.54 (3.45) in the BA group and 14.31 (3.60) in the MEDS group; both BA and MEDS recipients experienced nearly 50% reduction in depressive symptoms at 3, 6, and 12 months (eg, mean [SD] score at 12 months: BA, 7.62 (5.73); P < .001; MEDS, 7.98 (6.06); P < .001; between-group P = .55). There was no statistically significant difference between BA and MEDS in the primary outcome of PHQ-9 at 6 months (mean [SD] score, 7.53 [5.74] vs 8.09 [6.06]; P = .88). BA recipients, compared with MEDS recipients, experienced small improvement in physical HRQOL at 6 months (mean [SD] SF-12 physical score: 38.82 [11.09] vs 37.12 [10.99]; P = .04), had fewer ED visits (3 months: 38% [95% CI, 14%-55%] reduction; P = .005; 6 months: 30% [95% CI, 14%-40%] reduction; P = .008; 12 months: 27% [95% CI, 15%-38%] reduction; P = .001), and spent fewer days hospitalized (3 months: 17% [95% CI, 8%-25%] reduction; P = .002; 6 months: 19% [95% CI, 13%-25%] reduction; P = .005; 12 months: 36% [95% CI, 32%-40%] reduction; P = .001). Conclusions and Relevance: In this comparative effectiveness trial of BA and MEDS in patients with HF experiencing depression, both treatments significantly reduced depressive symptoms by nearly 50% with no statistically significant differences between treatments. BA recipients experienced better physical HRQOL, fewer ED visits, and fewer days hospitalized. The study findings suggested that patients with HF could be given the choice between BA or MEDS to ameliorate depression. Trial Registration: ClinicalTrials.gov Identifier: NCT03688100.

Postdischarge Noninvasive Telemonitoring and Nurse Telephone Coaching Improve Outcomes in Heart Failure Patients With High Burden of Comorbidity.

BACKGROUND: Noninvasive telemonitoring and nurse telephone coaching (NTM-NTC) is a promising postdischarge strategy in heart failure (HF). Comorbid conditions and disease burden influence health outcomes in HF, but how comorbidity burden modulates the effectiveness of NTM-NTC is unknown. This study aims to identify patients with HF who may benefit from postdischarge NTM-NTC based on their burden of comorbidity. METHODS AND RESULTS: In the Better Effectiveness After Transition - Heart Failure trial, patients hospitalized for acute decompensated HF were randomized to postdischarge NTM-NTC or usual care. In this secondary analysis of 1313 patients with complete data, comorbidity burden was assessed by scoring complication and coexisting diagnoses from index admissions. Clinical outcomes included 30-day and 180-day readmissions, mortality, days alive, and combined days alive and out of the hospital. Patients had a mean of 5.7 comorbidities and were stratified into low (0-2), moderate (3-8), and high comorbidity (≥9) subgroups. Increased comorbidity burden was associated with worse outcomes. NTM-NTC was not associated with readmission rates in any comorbidity subgroup. Among high comorbidity patients, NTM-NTC was associated with significantly lower mortality at 30 days (hazard ratio 0.25, 95% confidence interval 0.07-0.90) and 180 days (hazard ratio 0.51, 95% confidence interval 0.27-0.98), as well as more days alive (160.1 vs 140.3, P = .029) and days alive out of the hospital (152.0 vs 133.2, P = .044) compared with usual care. CONCLUSIONS: Postdischarge NTM-NTC improved survival among patients with HF with a high comorbidity burden. Comorbidity burden may be useful for identifying patients likely to benefit from this management strategy.

Implementing a Geriatric Fracture Program in a Mixed Practice Environment Reduces Total Cost and Length of Stay.

INTRODUCTION: Geriatric-orthopaedic co-management models can improve patient outcomes. However, prior reports have been at large academic centers with "closed" systems and an inpatient geriatric service. Here we describe a Geriatric Fracture Program (GFP) in a mixed practice "pluralistic" environment that includes employed academic faculty, private practice physicians, and multiple private hospitalist groups. We hypothesized GFP enrollment would reduce length of stay (LOS), time to surgery (TTS), and total hospital costs compared to non-GFP patients. MATERIALS AND METHODS: A multidisciplinary team was created around a geriatric Nurse Practitioner (NP) and consulting geriatrician. Standardized geriatric focused training programs and electronic tools were developed based on best practice guidelines. Fracture patients >65 years old were prospectively enrolled from July 2018 - June 2019. A trained biostatistician performed all statistical analyses. A p < 0.05 was considered significant. RESULTS: 564 operative and nonoperative fractures in patients over 65 were prospectively followed with 153 (27%) enrolled in the GFP and 411 (73%) admitted to other hospitalists or their primary care provider (non-GFP). Patients enrolled in the GFP had a significantly shorter median LOS of 4 days, compared to 5 days in non-GFP patients (P < 0.001). There was a strong trend towards a shorter median TTS in the GFP group (21.5 hours v 25 hours, p = 0.066). Mean total costs were significantly lower in the GFP group ($25,323 v $29085, p = 0.022). DISCUSSION: Our data shows that a geriatric-orthopaedic co-management model can be successfully implemented without an inpatient geriatric service, utilizing the pre-existing resources in a complex environment. The program can be expanded to include additional groups to improve care for entire geriatric fracture population with significant anticipated cost savings. CONCLUSIONS: With close multidisciplinary team work, a successful geriatric-orthopaedic comanagement model for geriatric fractures can be implemented in even a mixed practice environment without an inpatient geriatrics service.

Personalized treatments for depressive symptoms in patients with advanced heart failure: A pragmatic randomized controlled trial.

OBJECTIVES: Heart Failure is a chronic syndrome affecting over 5.7 million in the US and 26 million adults worldwide with nearly 50% experiencing depressive symptoms. The objective of the study is to compare the effects of two evidence-based treatment options for adult patients with depression and advanced heart failure, on depressive symptom severity, physical and mental health related quality of life (HRQoL), heart-failure specific quality of life, caregiver burden, morbidity, and mortality at 3, 6 and 12-months. METHODS: Trial design. Pragmatic, randomized, comparative effectiveness trial. Interventions. The treatment interventions are: (1) Behavioral Activation (BA), a patient-centered psychotherapy which emphasizes engagement in enjoyable and valued personalized activities as selected by the patient; or (2) Antidepressant Medication Management administered using the collaborative care model (MEDS). Participants. Adults aged 18 and over with advanced heart failure (defined as New York Heart Association (NYHA) Class II, III, and IV) and depression (defined as a score of 10 or above on the PHQ-9 and confirmed by the MINI International Neuropsychiatric Interview for the DSM-5) selected from all patients at Cedars-Sinai Medical Center who are admitted with heart failure and all patients presenting to the outpatient programs of the Smidt Heart Institute at Cedars-Sinai Medical Center. We plan to randomize 416 patients to BA or MEDS, with an estimated 28% loss to follow-up/inability to collect follow-up data. Thus, we plan to include 150 in each group for a total of 300 participants from which data after randomization will be collected and analyzed. CONCLUSIONS: The current trial is the first to compare the impact of BA and MEDS on depressive symptoms, quality of life, caregiver burden, morbidity, and mortality in patients with depression and advanced heart failure. The trial will provide novel results that will be disseminated and implemented into a wide range of current practice settings. REGISTRATION: ClinicalTrials.Gov Identifier: NCT03688100.

The Effect of Rehospitalization and Emergency Department Visits on Subsequent Adherence to Weight Telemonitoring.

BACKGROUND: Weight telemonitoring may be an effective way to improve patients' ability to manage heart failure and prevent unnecessary utilization of health services. However, the effectiveness of such interventions is dependent upon patient adherence. OBJECTIVE: The purpose of this study was to determine how adherence to weight telemonitoring changes in response to 2 types of events: hospital readmissions and emergency department visits. METHODS: The Better Effectiveness After Transition-Heart Failure trial examined the effectiveness of a remote telemonitoring intervention compared with usual care for patients discharged to home after hospitalization for decompensated heart failure. Participants were followed for 180 days and were instructed to transmit weight readings daily. We used Poisson regression to determine the within-person effects of events on subsequent adherence. RESULTS: A total of 625 events took place during the study period. Most of these events were rehospitalizations (78.7%). After controlling for the number of previous events and discharge to a skilled nursing facility, the rate for adherence decreased by nearly 20% in the 2 weeks after a hospitalization compared with the 2 weeks before (adjusted rate ratio, 0.81; 95% confidence interval: 0.77-0.86; P < .001). CONCLUSIONS: Experiencing a rehospitalization had the effect of diminishing adherence to daily weighing. Providers using telemonitoring to monitor decompensation and manage medications should take advantage of the potential "teachable moment" during hospitalization to reinforce the importance of adherence.

Association of Adherence to Weight Telemonitoring With Health Care Use and Death: A Secondary Analysis of a Randomized Clinical Trial.

Importance: Adherence to telemonitoring may be associated with heart failure exacerbation but is not included in telemonitoring algorithms. Objective: To assess whether telemonitoring adherence is associated with a patient's risk of hospitalization, emergency department visit, or death. Design, Setting, and Participants: This post hoc secondary analysis of the Better Effectiveness After Transition-Heart Failure randomized clinical trial included patients from 6 academic medical centers in California who were eligible if they were hospitalized for decompensated heart failure and excluded if they were discharged to a skilled nursing facility, were expected to improve because of a medical procedure, or did not have the cognitive or physical ability to participate. The trial compared a telemonitoring intervention with usual care for patients with heart failure after hospital discharge from October 12, 2011, to September 30, 2013. Data analysis was performed from November 8, 2016, to May 10, 2019. Interventions: The intervention group (n = 722) received heart failure education, telephone check-ins, and a wireless telemonitoring system that allowed the patient to transmit weight, blood pressure, heart rate, and selected symptoms. The control group (n = 715) received usual care. Patients were followed up for 180 days after discharge. Main Outcomes and Measures: The main outcome was within-person risk of hospitalization, emergency department visit, or death by week during the study period. Poisson regression was used to determine the within-person association of adherence to daily weighing with the risk of experiencing these events in the following week. Results: Among the 538 participants (mean [SD] age, 70.9 [14.1] years; 287 [53.8%] male; 269 [50.7%] white) in the present analysis, adherence was lowest during the first week after enrollment but steadily increased, peaking between days 26 and 60 at 69%, or 371 transmissions. Adherence to weight telemonitoring was associated with events in the following week; an increase in adherence by 1 day was associated with a 19% decrease in the rate of death in the following week (incidence rate ratio, 0.81; 95% CI, 0.73-0.90) and an 11% decrease in the rate of hospitalization (incidence rate ratio, 0.89; 95% CI, 0.86-0.91). Adherence in the previous week was not associated with reduced rates of emergency department visits (incidence rate ratio, 0.95; 95% CI, 0.90-1.02). Conclusions and Relevance: In this study, lower adherence to weight telemonitoring in a given week was associated with an increased risk of subsequent hospitalization or death in the following week. It is unlikely that this is a result of the telemonitoring intervention; rather, adherence may be an important factor associated with a patient's health status.

Time to Block: Early Regional Anesthesia Improves Pain Control in Geriatric Hip Fractures.

BACKGROUND: Fascia iliaca nerve blocks (FIBs) anesthetize the thigh and provide opioid-sparing analgesia for geriatric patients with hip fracture awaiting a surgical procedure. FIBs are recommended for preoperative pain management; yet, block administration is often delayed for hours after admission, and delays in pain management lead to worse outcomes. Our objective was to determine whether opioid consumption and pain following a hip fracture are affected by the time to block (TTB). We also examined length of stay and opioid-related adverse events. METHODS: This prospective cohort study included patients who were ≥60 years of age, presented with a hip fracture, and received a preoperative FIB from March 2017 to December 2017. Individualized care timelines, including the date and time of admission, block placement, and surgical procedure, were created to evaluate the effect that TTB and time to surgery (TTS) had on outcomes. Patterns among TTB, TTS, and morphine milligram equivalents (MME) were investigated using the Spearman rho correlation. For descriptive purposes, we divided patients into 2 groups based on the median TTB. Multivariable regression for preoperative MME and length of stay was performed to assess the effect of TTB. RESULTS: There were 107 patients, with a mean age of 83.3 years, who received a preoperative FIB. The median TTB was 8.5 hours. Seventy-two percent of preoperative MME consumption occurred before block placement (pre-block MME). A longer TTB was most strongly correlated with pre-block MME (rho = 0.54; p < 0.001), and TTS was not correlated. Patients with a faster TTB consumed fewer opioids preoperatively (12.0 compared with 33.1 MME; p = 0.015), had lower visual analog scale scores for pain on postoperative day 1 (2.8 compared with 3.5 points; p = 0.046), and were discharged earlier (4.0 compared with 5.5 days; p = 0.039). There were no differences in preoperative pain scores, postoperative opioid consumption, delirium, or opioid-related adverse events. Multivariate regression showed that every hour of delay in TTB was associated with a 2.8% increase in preoperative MME and a 1.0% increase in the length of stay. CONCLUSIONS: Faster TTB in geriatric patients with hip fracture may reduce opioid use, pain, and length of stay. LEVEL OF EVIDENCE: Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.

Do the unlabeled response categories of the Minnesota Living with Heart Failure Questionnaire satisfy the monotonicity assumption of simple-summated scoring?

PURPOSE: Half of the 21-item Minnesota Living with Heart Failure Questionnaire (MLHFQ) response categories are labeled (0 = No, 1 = Very little, 5 = Very much) and half are not (2, 3, and 4). We hypothesized that the unlabeled response options would not be more likely to be chosen at some place along the scale continuum than other response options and, therefore, not satisfy the monotonicity assumption of simple-summated scoring. METHODS: We performed exploratory and confirmatory factor analyses of the MLHFQ items in a sample of 1437 adults in the Better Effectiveness After Transition-Heart Failure study. We evaluated the unlabeled response options using item characteristic curves from item response theory-graded response models for MLHFQ physical and emotional health scales. Then, we examined the impact of collapsing response options on correlations of scale scores with other variables. RESULTS: The sample was 46% female; 71% aged 65 or older; 11% Hispanic, 22% Black, 54% White, and 12% other. The unlabeled response options were rarely chosen. The standard approach to scoring and scores obtained by collapsing adjacent response categories yielded similar associations with other variables, indicating that the existing response options are problematic. CONCLUSIONS: The unlabeled MLHFQ response options do not meet the assumptions of simple-summated scoring. Further assessment of the performance of the unlabeled response options and evaluation of alternative scoring approaches is recommended. Adding labels for response options in future administrations of the MLHFQ should be considered.

Validity of Physician and Administrator Peer Review for Selecting Specialist Narrow Network Participants.

Increasingly, insurers control costs by selectively contracting with high-performing, low-cost providers through "narrow networks." Health care systems are faced with selecting specialists for inclusion in these shared-risk contracts. One approach is to use peer ratings, but it remains uncertain whether physicians can identify which of their peers are quantitatively high-quality, highly efficient care providers. If the results of administrator and physician peer ratings were a reliable stand-in for empirical scores, then they might substitute for the resource- and time-intensive task of quantitative performance ratings. This study examines whether peer ratings correlate with empirical ratings from a multisource, quantitative performance score derived from electronic health record (EHR) data. The authors evaluated 74 specialists' quantitative performance using a composite of metrics derived from EHR data. A single-item survey was administered separately that asked 32 primary care physicians (PCPs) to rate the specialists on their orientation to value-based health care. Bivariate and multivariate relationships were assessed between mean PCP ratings and quantitative performance scores, and logistic regression with receiver operating characteristic curve analysis was employed to evaluate the accuracy of peer review in classifying specialists scoring in the top quartile of quantitative performance. Correlations between PCP ratings and quantitative scores were positive and significant (r = 0.70; P < 0.0001). Multivariable linear regression explained 52% of the variance in quantitative scores. Peer ratings predicted top-quartile performance with an accuracy of 82%. Physician and administrator peer ratings identified top-performing specialists fairly accurately, suggesting that PCPs are well positioned as both stewards and assessors of specialist efficiency and quality.

The Enhanced Care Program: Impact of a Care Transition Program on 30-Day Hospital Readmissions for Patients Discharged From an Acute Care Facility to Skilled Nursing Facilities.

BACKGROUND: Increased acuity of skilled nursing facility (SNF) patients challenges the current system of care for these patients. OBJECTIVE: Evaluate the impact on 30-day readmissions of a program designed to enhance the care of patients discharged from an acute care facility to SNFs. DESIGN: An observational, retrospective cohort analysis of 30-day hospital readmissions for patients discharged to 8 SNFs between January 1, 2014, and June 30, 2015. SETTING: A collaboration between a large, acute care hospital in an urban setting, an interdisciplinary clinical team, 124 community physicians, and 8 SNFs. PATIENTS: All patients discharged from Cedars-Sinai Medical Center to 8 partner SNFs were eligible for participation. INTERVENTION: The Enhanced Care Program (ECP) involved the following 3 interventions in addition to standard care: (1) a team of nurse practitioners participating in the care of SNF patients; (2) a pharmacist-driven medication reconciliation at the time of transfer; and (3) educational in-services for SNF nursing staff. MEASUREMENT: Thirty-day readmission rate for ECP patients compared to patients not enrolled in ECP. RESULTS: The average unadjusted, 30-day readmission rate for ECP patients over the 18-month study period was 17.2% compared to 23.0% among patients not enrolled in ECP (P < 0.001). After adjustment for sociodemographic and clinical characteristics, ECP patients had 29% lower odds of being readmitted within 30 days (P < 0.001). These effects were robust to stratified analyses, analyses adjusted for clustering, and balancing of covariates using propensity weighting. CONCLUSIONS: A coordinated, interdisciplinary team caring for SNF patients can reduce 30-day hospital readmissions.

Serological, genetic and clinical associations with increased health-care resource utilization in inflammatory bowel disease.

OBJECTIVE: Inflammatory bowel diseases (IBD) are associated with significant morbidity and economic burden. The variable course of IBD creates a need for predictors of clinical outcomes and health resource utilization (HRU) to guide treatment decisions. We aimed to identify clinical, serological or genetic markers associated with inpatient resource utilization in patients with ulcerative colitis (UC) and Crohn's disease (CD). METHODS: Patients with IBD with available genetic and serological data who had at least one emergency department visit or hospitalization in a 3-year period were included. The primary outcome measure was HRU, as measured by the All Patient Refined Diagnosis Related Group classification system. Univariate and multivariate linear and logistic regression models were used to identify the associations with HRU. RESULTS: Altogether 858 (562 CD and 296 UC) patients were included. Anti-CBir1 seropositivity (P = 0.002, effect size [ES]: 0.762, 95% confidence interval [CI] 0.512-1.012) and low socioeconomic status (P = 0.005, ES: 1.620 [95% CI 1.091-2.149]) were independently associated with a high HRU. CD diagnosis (P = 0.006, ES: -0.701 [95% CI -0.959 to -0.443]) was independently associated with a low inpatient HRU. CONCLUSION: In patients with IBD who required at least one emergency department visit or hospitalization, anti-CBir1 antibody status may be a useful biomarker of HRU when formulating management strategies to reduce disease complications and resource utilization.

Online physician ratings fail to predict actual performance on measures of quality, value, and peer review.

Objective: Patients use online consumer ratings to identify high-performing physicians, but it is unclear if ratings are valid measures of clinical performance. We sought to determine whether online ratings of specialist physicians from 5 platforms predict quality of care, value of care, and peer-assessed physician performance. Materials and Methods: We conducted an observational study of 78 physicians representing 8 medical and surgical specialties. We assessed the association of consumer ratings with specialty-specific performance scores (metrics including adherence to Choosing Wisely measures, 30-day readmissions, length of stay, and adjusted cost of care), primary care physician peer-review scores, and administrator peer-review scores. Results: Across ratings platforms, multivariable models showed no significant association between mean consumer ratings and specialty-specific performance scores (ß-coefficient range, -0.04, 0.04), primary care physician scores (ß-coefficient range, -0.01, 0.3), and administrator scores (ß-coefficient range, -0.2, 0.1). There was no association between ratings and score subdomains addressing quality or value-based care. Among physicians in the lowest quartile of specialty-specific performance scores, only 5%-32% had consumer ratings in the lowest quartile across platforms. Ratings were consistent across platforms; a physician's score on one platform significantly predicted his/her score on another in 5 of 10 comparisons. Discussion: Online ratings of specialist physicians do not predict objective measures of quality of care or peer assessment of clinical performance. Scores are consistent across platforms, suggesting that they jointly measure a latent construct that is unrelated to performance. Conclusion: Online consumer ratings should not be used in isolation to select physicians, given their poor association with clinical performance.

Effectiveness of Remote Patient Monitoring After Discharge of Hospitalized Patients With Heart Failure: The Better Effectiveness After Transition -- Heart Failure (BEAT-HF) Randomized Clinical Trial.

IMPORTANCE: It remains unclear whether telemonitoring approaches provide benefits for patients with heart failure (HF) after hospitalization. OBJECTIVE: To evaluate the effectiveness of a care transition intervention using remote patient monitoring in reducing 180-day all-cause readmissions among a broad population of older adults hospitalized with HF. DESIGN, SETTING, AND PARTICIPANTS: We randomized 1437 patients hospitalized for HF between October 12, 2011, and September 30, 2013, to the intervention arm (715 patients) or to the usual care arm (722 patients) of the Better Effectiveness After Transition-Heart Failure (BEAT-HF) study and observed them for 180 days. The dates of our study analysis were March 30, 2014, to October 1, 2015. The setting was 6 academic medical centers in California. Participants were hospitalized individuals 50 years or older who received active treatment for decompensated HF. INTERVENTIONS: The intervention combined health coaching telephone calls and telemonitoring. Telemonitoring used electronic equipment that collected daily information about blood pressure, heart rate, symptoms, and weight. Centralized registered nurses conducted telemonitoring reviews, protocolized actions, and telephone calls. MAIN OUTCOMES AND MEASURES: The primary outcome was readmission for any cause within 180 days after discharge. Secondary outcomes were all-cause readmission within 30 days, all-cause mortality at 30 and 180 days, and quality of life at 30 and 180 days. RESULTS: Among 1437 participants, the median age was 73 years. Overall, 46.2% (664 of 1437) were female, and 22.0% (316 of 1437) were African American. The intervention and usual care groups did not differ significantly in readmissions for any cause 180 days after discharge, which occurred in 50.8% (363 of 715) and 49.2% (355 of 722) of patients, respectively (adjusted hazard ratio, 1.03; 95% CI, 0.88-1.20; P = .74). In secondary analyses, there were no significant differences in 30-day readmission or 180-day mortality, but there was a significant difference in 180-day quality of life between the intervention and usual care groups. No adverse events were reported. CONCLUSIONS AND RELEVANCE: Among patients hospitalized for HF, combined health coaching telephone calls and telemonitoring did not reduce 180-day readmissions. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT01360203.

Variability in Implementation of Interventions Aimed at Reducing Readmissions Among Patients With Heart Failure: A Survey of Teaching Hospitals.

PURPOSE: To highlight teaching hospitals' efforts to reduce readmissions by describing interventions implemented to improve care transitions for heart failure (HF) patients and the variability in implemented HF-specific and care transition interventions. METHOD: In 2012, the authors surveyed a network of 17 teaching hospitals to capture information about the number, type, stage of implementation, and structure of 4 HF-specific and 21 care transition (predischarge, bridging, and postdischarge) interventions implemented to reduce readmissions among patients with HF. The authors summarized data using descriptive statistics, including the mean number of interventions implemented and the frequency and stage of specific interventions, and descriptive plots of the structure of two common interventions (multidisciplinary rounds and follow-up telephone calls). RESULTS: Sixteen hospitals (94%) responded. The number and stage of implementation of the HF-specific and care transition interventions implemented varied across institutions. The mean number of interventions at an advanced stage of implementation (i.e., implemented for ≥ 75% of HF patients on the cardiology service or on all services) was 10.9 (standard deviation = 4.3). Overall, predischarge interventions were more common than bridging or postdischarge interventions. There was variability in the personnel involved in multidisciplinary rounds and in the processes/content of follow-up telephone calls. CONCLUSIONS: Teaching hospitals have implemented a wide range of interventions aimed at reducing hospital readmissions, but there is substantial variability in the types, stages, and structure of their interventions. This heterogeneity highlights the need for collaborative efforts to improve understanding of intervention effectiveness.

Learning about 30-day readmissions from patients with repeated hospitalizations.

OBJECTIVES: To examine the population of inpatients with multiple hospitalizations at a large urban medical center in order to understand the types of patients who are at highest risk for 30-day readmission. STUDY DESIGN: Descriptive retrospective cohort analysis using hospital administrative data. METHODS: Bivariate analysis of clinical and sociodemographic characteristics of 19,049 adult inpatients discharged with a medical MS-DRG between July 1, 2009, and December 2010, and all subsequent inpatient admissions in the 180 days following each index discharge. RESULTS: Patients with 6 or more stays (very frequent readmissions) represented 0.8% of patients and 17.3% of 30-day readmissions. Those with 3 to 5 stays (frequent readmissions) comprised 9.4% of patients and 54.3% of 30-day readmissions. These patients differed significantly from those who had fewer hospitalizations with respect to age, race/ethnicity, gender, English proficiency, and insurance type. CONCLUSIONS: Most 30-day readmissions are experienced by patients who have multiple, frequent hospital admissions. Efforts to reduce readmissions must look beyond the current focus on a single hospital discharge and transition period.

A remote monitoring and telephone nurse coaching intervention to reduce readmissions among patients with heart failure: study protocol for the Better Effectiveness After Transition - Heart Failure (BEAT-HF) randomized controlled trial.

BACKGROUND: Heart failure is a prevalent health problem associated with costly hospital readmissions. Transitional care programs have been shown to reduce readmissions but are costly to implement. Evidence regarding the effectiveness of telemonitoring in managing the care of this chronic condition is mixed. The objective of this randomized controlled comparative effectiveness study is to evaluate the effectiveness of a care transition intervention that includes pre-discharge education about heart failure and post-discharge telephone nurse coaching combined with home telemonitoring of weight, blood pressure, heart rate, and symptoms in reducing all-cause 180-day hospital readmissions for older adults hospitalized with heart failure. METHODS/DESIGN: A multi-center, randomized controlled trial is being conducted at six academic health systems in California. A total of 1,500 patients aged 50 years and older will be enrolled during a hospitalization for treatment of heart failure. Patients in the intervention group will receive intensive patient education using the 'teach-back' method and receive instruction in using the telemonitoring equipment. Following hospital discharge, they will receive a series of nine scheduled health coaching telephone calls over 6 months from nurses located in a centralized call center. The nurses also will call patients and patients' physicians in response to alerts generated by the telemonitoring system, based on predetermined parameters. The primary outcome is readmission for any cause within 180 days. Secondary outcomes include 30-day readmission, mortality, hospital days, emergency department (ED) visits, hospital cost, and health-related quality of life. DISCUSSION: BEAT-HF is one of the largest randomized controlled trials of telemonitoring in patients with heart failure, and the first explicitly to adapt the care transition approach and combine it with remote telemonitoring. The study population also includes patients with a wide range of demographic and socioeconomic characteristics. Once completed, the study will be a rich resource of information on how best to use remote technology in the care management of patients with chronic heart failure. TRIAL REGISTRATION: ClinicalTrials.gov # NCT01360203.

Health-related quality-of-life measurement in randomized clinical trials in breast cancer--taking stock.

Measurement of health-related quality-of-life (HRQOL) in randomized clinical trials in breast cancer has become common. In this review, we take stock of the contribution that HRQOL measurement in breast cancer clinical trials makes to clinical decision making regarding selection of optimal treatment. A series of MEDLINE searches was conducted to identify all randomized trials in breast cancer that included self-reported HRQOL or psychosocial outcomes. A total of 256 citations were identified that included HRQOL or psychosocial outcomes in breast cancer patients, and 66 of these involved randomized clinical trials of treatment. These 66 reports of breast cancer clinical trials of treatment are discussed in this review. Forty-six of the trials evaluated biomedical interventions, and 20 evaluated psychosocial interventions. Among the biomedical trials, eight trials evaluated HRQOL in primary management of breast cancer, seven trials evaluated HRQOL in adjuvant therapy of breast cancer patients, 20 trials involved metastatic breast cancer, eight trials involved symptom control/supportive care, and three trials evaluated different approaches to investigation or follow-up of breast cancer patients. Among the psychosocial trials, 13 trials evaluated HRQOL in adjuvant therapy of breast cancer patients, and their partners or spouses, six trials involved metastatic breast cancer, and one trial focused on symptom control. We found that the contribution of HRQOL measurement to clinical decision making depended on the clinical setting. In primary management of breast cancer, where medical outcomes of several treatment options are equivalent, HRQOL measurement provided added information for clinical decision making beyond that of traditional medical outcomes. In trials in the adjuvant setting, HRQOL measurement did not influence clinical decision making. In metastatic disease, HRQOL outcomes provided little information beyond that obtained from traditional medical outcomes, including toxicity. In the symptom control/supportive care setting, results of HRQOL questionnaires targeting specific symptoms (e.g., emesis) guided treatment decisions. In psychosocial intervention trials, psychosocial and/or HRQOL measurements often provided the only outcome information; therefore, selection of instruments that captured attributes likely to be altered by the intervention was essential. Until results of ongoing trials in breast cancer are available, caution is recommended in initiating new HRQOL studies unless treatment equivalency is expected, or unless the HRQOL questions target unique or specific issues that can only be addressed through patient self-report, including outcomes of psychosocial interventions.