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The Commonwealth Fund.

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Purpose-While previous evidence has shown increased likelihood for survival in cancer patients who have social support, little is known about changes in social support during illness and their impact on survival. This study examines the relationship between social support and survival among women diagnosed with breast carcinoma, specifically assessing the effect of network size and changes in social contact post-diagnosis.Methods-A population-based sample of 584 women was followed for up to 12.5 years (median follow-up =10.3 years). The mean age at diagnosis was 44 years, 81% were married, and 29% were racial/ethnic minorities. Cox regression analysis was used to estimate survival as a function of social support (changes in social contact and the size of social support), disease severity, treatment, health status, and socio-demographic factors.Results-Fifty-four-percent of the women had local and 44% had regional stage disease. About 53% underwent mastectomy, 68% received chemotherapy, and 55% had radiation. Regression results showed that disease stage, estrogen receptor status, and mastectomy were associated with greater risk of dying. Although network size was not related to survival, increased contact with friends/family post-diagnosis was associated with lower risk of death, with a hazard ratio of 0.31 (95% CI, 0.17-0.57).Conclusion-Findings from this study have identified an important aspect of a woman's social network that impacts survival. An increase in the amount of social contact, representing greater social support, may increase the likelihood of the women's survival by enhancing their coping skills, providing emotional support, and expanding opportunities for information-sharing.

The Bundled Payments for Care Improvement initiative is a federally funded innovation model mandated by the Affordable Care Act. It is designed to help transition Medicare away from fee-for-service payments and toward bundling a single payment for an episode of acute care in a hospital and related postacute care in an appropriate setting. While results from the initiative will not be available for several years, current data can help provide critical early insights. However, little is known about the participating organizations and how they are focusing their efforts. We identified participating hospitals and used national Medicare claims data to assess their characteristics and previous spending patterns. These hospitals are mostly large, nonprofit, teaching hospitals in the Northeast, and they have selectively enrolled in the bundled payment initiative covering patient conditions with high clinical volumes. We found no significant differences in episode-based spending between participating and nonparticipating hospitals. Postacute care explains the largest variation in overall episode-based spending, signaling an opportunity to align incentives across providers. However, the focus on a few selected clinical conditions and the high degree of integration that already exists between enrolled hospitals and postacute care providers may limit the generalizability of bundled payment across the Medicare system.

ObjectiveThere has been concern that an increase in billing for high-intensity emergency care is due to changes in coding practices facilitated by electronic health records. We sought to characterise the trends in billing for high-intensity emergency care among Medicare beneficiaries and to examine the degree to which trends in high-intensity billing are explained by changes in patient characteristics and services provided in the emergency department (ED).Design, setting and participantsObservational study using traditional Medicare claims to identify ED visits at non-federal acute care hospitals for elderly beneficiaries in 2006, 2009 and 2012.Outcomes measuresBilling intensity was defined by emergency physician evaluation and management (E&M) codes. We tested for overall trends in high-intensity billing (E&M codes 99285, 99291 and 99292) and in services provided over time using linear regression models, adjusting for patient characteristics. Additionally, we tested for time trends in rates of admission to the hospital and to the intensive care unit (ICU). Next, we classified outpatient visits into 39 diagnosis categories and analysed the change in proportion of high-intensity visits versus the change in number of services. Finally, we quantified the extent to which trends in high-intensity billing are explained by changes in patient demographics and services provided in the ED using multivariable modelling.ResultsHigh-intensity visits grew from 45.8% of 671 103 visits in 2006 to 57.8% of 629 010 visits in 2012 (2.0% absolute increase per year; 95% CI 1.97% to 2.03%) as did the mean number of services provided for admitted (1.28 to 1.41; +0.02 increase in procedures per year; 95% CI 0.018 to 0.021) and discharged ED patients (7.1 to 8.6; +0.25 increase in services per year; 95% CI 0.245 to 0.255). There was a reduction in hospital admission rate from 40.1% to 35.9% (−0.68% per year; 95% CI −0.71% to −0.65%; P<0.001), while the ICU rate of admission rose from 11.7% to 12.3% (+0.11% per year; 95% CI 0.09% to 0.12%; P<0.001). When we stratified by diagnosis category, there was a moderate correlation between change in visits billed as high intensity and the change in mean number of services provided per visit (r=0.38; 95% CI 0.07 to 0.63). Trends in patient characteristics and services provided accounted moderately for the trend in practice intensity for outpatient visits (pseudo R2 of 0.47) but very little for inpatient visits (0.051) and visits overall (0.148).ConclusionsIncreases in services provided in the ED moderately account for the trends in billing for high-intensity emergency care for outpatient visits.

There is a strong movement toward implementation of evidence-based practices (EBP) in child welfare systems. The SafeCare parenting model is one of few parent-training models that addresses child neglect, the most common form of maltreatment. Here, the authors describe initial findings from a statewide effort to implement the EBP, SafeCare®, into a state child welfare system. A total of 50 agencies participated in training, with 295 individuals entering training to implement SafeCare. Analyses were conducted to describe the trainee sample, describe initial training and implementation indicators, and to examine correlates of initial training performance and implementation indicators. The quality of SafeCare uptake during training and implementation was high with trainees performing very well on training quizzes and role-plays, and demonstrating high fidelity when implementing SafeCare in the field (performing over 90% of expected behaviors). However, the quantity of implementation was generally low, with relatively few providers (only about 25%) implementing the model following workshop training. There were no significant predictors of training or implementation performance, once corrections for multiple comparisons were applied. The Discussion focuses on challenges to large-scale system-wide implementation of EBP. Keywords dissemenation/implementation; parenting; child welfare services/child protection; neglect Many child welfare systems are moving to adopt structured, standardized, evidenced-based approaches to working with families, as evaluations of existing unstructured services have generally failed to find positive service effects (e.g., Chaffin, Bonner, & Hill, 2001;Westat, 2002). One promising evidence-based practice (EBP) being implemented in several child welfare agencies is the SafeCare® model. SafeCare is a behaviorally based parent training model that targets parents of children aged 0-5. SafeCare content focus on home safety, child health, and parent-child interactions (Lutzker & Bigelow, 2002) Method Statewide SafeCare Implementation PlanState funds were received in 2008 for training providers of family preservation services to conduct SafeCare. In this particular state, as in many others, most direct child welfare services are provided by private agencies following a child maltreatment investigation conducted by public child welfare workers. Accordingly, private providers were the most appropriate choice for SafeCare training. To build capacity for large-scale training and support, NSTRC recruited and trained a group of contracted employees to provide Safe-Care training throughout the state, with NSTRC faculty and staff providing supervision and quality control.The implementation was designed so that each agency was trained both to deliver SafeCare (termed home visitors) and to conduct ongoing coaching, consisting of regular fidelity monitoring with feedback. Coaching is a standard part of NSTRC's implementation model (Whitaker et al., 2008), and critical for implementation with fidelity...

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