22 research outputs found

    Use of Risk Models to Predict Death in the Next Year Among Individual Ambulatory Patients With Heart Failure

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    Importance: The clinical practice guidelines for heart failure recommend the use of validated risk models to estimate prognosis. Understanding how well models identify individuals who will die in the next year informs decision making for advanced treatments and hospice. Objective: To quantify how risk models calculated in routine practice estimate more than 50% 1-year mortality among ambulatory patients with heart failure who die in the subsequent year. Design, Setting, and Participants: Ambulatory adults with heart failure from 3 integrated health systems were enrolled between 2005 and 2008. The probability of death was estimated using the Seattle Heart Failure Model (SHFM) and the Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) risk calculator. Baseline covariates were collected from electronic health records. Missing covariates were imputed. Estimated mortality was compared with actual mortality at both population and individual levels. Main Outcomes and Measures: One-year mortality. Results: Among 10930 patients with heart failure, the median age was 77 years, and 48.0% of these patients were female. In the year after study enrollment, 1661 patients died (15.9% by life-table analysis). At the population level, 1-year predicted mortality among the cohort was 9.7% for the SHFM (C statistic of 0.66) and 17.5% for the MAGGIC risk calculator (C statistic of 0.69). At the individual level, the SHFM predicted a more than 50% probability of dying in the next year for 8 of the 1661 patients who died (sensitivity for 1-year death was 0.5%) and for 5 patients who lived at least a year (positive predictive value, 61.5%). The MAGGIC risk calculator predicted a more than 50% probability of dying in the next year for 52 of the 1661 patients who died (sensitivity, 3.1%) and for 63 patients who lived at least a year (positive predictive value, 45.2%). Conversely, the SHFM estimated that 8496 patients (77.8%) had a less than 15% probability of dying at 1 year, yet this lower-risk end of the score range captured nearly two-thirds of deaths (n = 997); similarly, the MAGGIC risk calculator estimated a probability of dying of less than 25% for the majority of patients who died at 1 year (n = 914). Conclusions and Relevance: Although heart failure risk models perform reasonably well at the population level, they do not reliably predict which individual patients will die in the next year

    Organic Dissemination and Real-World Implementation of Patient Decision Aids for Left Ventricular Assist Device

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    Background. Although patient decision aids (PtDAs) have been shown to improve patient knowledge and satisfaction, they are infrequently used in the real world. We aimed to understand how our publicly available PtDAs developed for destination therapy left ventricular assist device (DT LVAD) were implemented in clinical practice and characterize factors influencing adoption. Methods. We contacted 39 people, 31 who had independently emailed inquiring about our DT LVAD PtDAs and 8 identified through snowball sampling. Thirty people from 23 programs participated in semistructured interviews, which were analyzed using normalization process theory. Results. Eleven programs currently use the PtDAs, 5 plan to use them but have not yet, and 7 do not currently use them nor have active plans to use them. Due to major tradeoffs and preference sensitivity of the DT LVAD decision, participants recognized a role for shared decision making and a need for significant information transfer. Due to a relative lack of resources, participants saw the PtDAs as a way to help facilitate a higher quality decision-making process. Limited time, lack of personnel, and perceived burden to implementing system-level change were cited as barriers to use. Initial implementation was accomplished by a champion of the PtDAs. Actual use of the PtDAs most commonly occurred through LVAD coordinators at the start of formal patient teaching sessions, where the PtDAs could be integrated into the existing LVAD consent and education structure. Conclusion. Interest in and implementation of PtDAs occurred independently at several LVAD programs due to a favorable decisional context, including a perceived role for shared decision making in the high-stakes decision around DT LVAD, unmet informational needs, preexisting education sessions, and invested clinical champions

    The Context of Caregiving in Heart Failure: A Dyadic, Mixed Methods Analysis

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    Background Caregiving for persons with heart failure (HF) varies based on the individual, family, and home contexts of the dyad, yet the dyadic context of HF caregiving is poorly understood. Objective The aim of this study was to explore dyadic perspectives on the context of caregiving for persons with HF. Methods Family caregivers and persons with HF completed surveys and semistructured interviews. Investigators also photographed caregiving areas to complement home environment data. Descriptive qualitative analysis resulted in 7 contextual domains, and each domain was rated as strength, need, or neutral. We grouped dyads by number of challenging domains of context, categorizing dyads as high (=3 domains), moderate (1-2 domains), or minimal (0 domains) needs. Quantitative instruments included the 36-item Short Form Health Survey, ENRICHD Social Support, HF Symptom Severity, and Zarit Burden Interview. We applied the average score of each quantitative measure to the groups derived from the qualitative analysis to integrate data in a joint display. Results The most common strength was the dyadic relationship, and the most challenging domain was caregiving intensity. Every dyad had at least 2 domains of strengths. Of 12 dyads, high-needs dyads (n = 3) had the worst average score for 7 of 10 instruments including caregiver and patient factors. The moderate-needs dyads (n = 6) experienced the lowest caregiver social support and mental health, and the highest burden. Conclusion Strengths and needs were evident in all patient-caregiver dyads with important distinctions in levels of need based on assessment of multiple contextual domains. Comprehensive dyadic and home assessments may improve understanding of unmet needs and improve intervention tailoring

    National survey of physicians’ perspectives on pharmacogenetic testing in solid organ transplantation

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    IntroductionOur objective was to evaluate physicians' perspectives on the clinical utility of pharmacogenetic (PGx) testing in kidney, liver, heart, and lung transplantation (KLHL-Tx).MethodsA 36-question web-based survey was developed and administered to medical and surgical directors of US KLHL-Tx centers.ResultsThere were 82 respondents (10% response rate). The majority were men (78%), non-Hispanic whites (70%), medical directors (72%), and kidney transplant physicians (35%). Although 78% of respondents reported having some PGx education, most reported lack of confidence in their PGx knowledge and ability to apply a PGx test. Participants reported mixed views about the clinical utility of PGx testing-most agreed with the efficacy of PGx testing, but not the benefits relative to the risks or standard of care. While 55% reported that testing was available at their institution, only 38% ordered a PGx test in the past year, most commonly thiopurine-S-methyltransferase. Physician-reported barriers to PGx implementation included uncertainty about the clinical value of PGx testing and patient financial burden.ConclusionTogether, our findings suggest prospective PGx research and pilot implementation programs are needed to elucidate the clinical utility and value of PGx in KLHL-Tx. These initiatives should include educational efforts to inform the use of PGx testing
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