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Care coordination for senior patients with multiple chronic diseases: Examining the association between organizational factors and patient outcomes.

机译:患有多种慢性病的老年患者的护理协调:检查组织因素与患者预后之间的关联。

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摘要

The Institute of Medicine has identified care coordination as a national priority to improve the quality of care. Care coordination is critical for senior patients who are challenged by our fragmented healthcare delivery system. Many senior patients have multiple chronic conditions, receive care from numerous providers across different care settings, and take multiple prescriptions. The primary care physician (PCP) is in a unique position to coordinate care and the Chronic Care Model (CCM) purports to optimally support the PCP.;The CCM posits that the redesign of physician practice organizations will result in effective physician-patient interactions and subsequently improved patient outcomes. Physician-patient relational coordination and trust, which are not included in the CCM, may play a significant role in facilitating these productive interactions between physicians and patients envisioned by the CCM framework. Therefore, the theories of RC and trust within the CCM framework guide this research.;This study evaluated quantitatively the association between the Chronic Care Model components and PCP relational coordination and trust, and nationally recognized quality measures using patient and organization data from a single, multispecialty medical group with an Independent Practice Association division. The main research questions examined in this study were the following: (1) do the CCM components predict quality outcomes, (2) do PCP relational coordination and trust predict quality outcomes and (3) do RC and trust moderate patient risk covariates such as low levels of education, etc.?;The patient population was composed of managed care Medicare beneficiaries with diabetes and at least one additional chronic condition receiving care from this organization between 2004 and 2007. Longitudinal analyses were conducted using four years of medical claims and physician satisfaction data from the study organization, incorporating proxy variables (PCP communication and coordination scores) for relational coordination (RC) and trust. Cross-sectional analyses utilized primary data assessing CCM, RC and trust that were linked with respondents' 2007 claims data. The cross-sectional analyses also examined two additional outcome variables---"end of life" discussions with PCP and overall PCP satisfaction---derived from the patient survey.;In all fitted Hierarchical Generalized Linear Models (HGLM) using longitudinal data and examining the log odds of the diabetes quality measures, PCP communication and coordination (combined as the proxy variable for RC) was a significant predictor. In the fitted HGLM using the cross-sectional survey-linked data, PCP RC moderated the negative impact on the diabetes quality composite measure from low education of the patient (p=0.04). Both RC and trust were significantly associated with the probability of patients having "end of life" discussions with their PCP (p=0.03). Lastly, the logisitic model fit with the CCM component scores from 24 clinics, 81 PCPs and 408 patients found the overall chronic care model score and the score for self-management support significant (p = 0.07 and 0.03 respectively). In this fitted model the combined variable for high RC and trust did not reach statistical significance although the coefficient was positive. Additionally, statistically significant correlations were found between the proxy variable of PCP coordination/communication examined as a key predictor in the longitudinal analyses, and RC and trust examined as key predictors in the cross-sectional analyses.;In summary, this study found a strong association between high levels of PCP communication/coordination and diabetes quality composite measures in a senior population with significant disease burden. Moreover, the study found that PCP relational coordination and trust play an important role in "end of life" discussions with patients. Finally, the study supports previous research which highlights the importance of the self-management component within the CCM.;Given the growing prevalence of multiple chronic conditions among the elderly, this study provides evidence to support reimbursement for care coordination within primary care. The study also supports the current emphasis on the expansion of patient-centered medical homes within an infrastructure of the Chronic Care Model. Finally, the role of PCP partnership including RC and trust is critical to meaningful discussions with patients in primary care settings when patient preferences and options can be fully explored and prior to an emergent medical crisis.
机译:医学研究所已将护理协调确定为提高护理质量的国家优先事项。护理协调对于受到分散的医疗服务体系挑战的老年患者至关重要。许多老年患者患有多种慢性病,需要接受来自不同医疗机构的众多提供者的护理,并需要多种处方。基层医疗医生(PCP)处于协调医疗服务的独特位置,而慢性护理模型(CCM)则旨在为PCP提供最佳支持。CCM认为,重新设计医生执业机构将导致有效的医患互动,以及随后改善了患者的预后。 CCM中不包括的医患关系协调和信任在促进CCM框架设想的医师和患者之间的生产性互动方面可能发挥重要作用。因此,CCM框架内的RC和信任理论指导了本研究。该研究定量评估了慢性护理模型组成部分与PCP关系协调与信任之间的关联,并使用来自单个患者,组织和组织的数据对国家认可的质量度量进行了评估,拥有独立实践协会部门的多专业医学小组。本研究中研究的主要研究问题如下:(1)CCM成分是否预测了质量结果,(2)PCP关系协调和信任是否预测了质量结果,(3)RC和信任中度患者风险协变量,例如低患者水平由2004年至2007年间接受管理的医疗保健糖尿病患者和至少一个其他慢性病患者从该组织获得治疗组成。纵向分析使用了四年的医疗要求和医师满意度进行来自研究组织的数据,并结合了用于关系协调(RC)和信任的代理变量(PCP沟通和协调分数)。横断面分析利用了评估CCM,RC和信任度的主要数据,这些数据与受访者的2007年索赔数据相关联。横断面分析还检查了两个额外的结果变量,即与PCP进行的“生命终结”讨论和对PCP的总体满意度,这是从患者调查得出的。在所有使用纵向数据拟合的分层广义线性模型(HGLM)中检查糖尿病质量测量的对数几率,PCP沟通和协调(结合为RC的代表变量)是一个重要的预测指标。在使用横断面调查相关数据拟合的HGLM中,PCP RC减轻了患者受过低教育对糖尿病质量综合指标的负面影响(p = 0.04)。 RC和信任都与患者与其PCP进行“生命终结”讨论的可能性显着相关(p = 0.03)。最后,逻辑模型符合来自24家诊所,81名PCP和408名患者的CCM成分评分,发现总体慢性护理模型评分和自我管理支持评分显着(分别为p = 0.07和0.03)。在该拟合模型中,尽管系数为正,但高RC和信任度的组合变量未达到统计显着性。此外,在纵向分析中将PCP协调/沟通的代理变量作为关键预测因素进行检验,而在横断面分析中将RC和信任作为关键预测因素进行检验,则在统计学上具有显着的相关性。高PCP沟通/协调水平与患有严重疾病负担的老年人群中糖尿病质量综合指标之间的相关性。此外,研究发现PCP关系协调和信任在与患者的“生命终结”讨论中起着重要作用。最后,该研究支持先前的研究,该研究突出了CCM内自我管理部分的重要性。鉴于老年人中多种慢性病的患病率日益上升,该研究提供了支持在基层医疗中协调医疗费用的证据。这项研究还支持当前在“慢性病护理模式”的基础设施中扩大以患者为中心的医疗之家的重点。最后,当可以充分探讨患者的喜好和选择并在紧急医疗危机发生之前,包括RC和信任在内的PCP合作伙伴关系的角色对于与初级保健机构中的患者进行有意义的讨论至关重要。

著录项

  • 作者

    Ryan, Marian.;

  • 作者单位

    Brandeis University, The Heller School for Social Policy and Management.;

  • 授予单位 Brandeis University, The Heller School for Social Policy and Management.;
  • 学科 Gerontology.;Health Sciences Medicine and Surgery.;Health Sciences Health Care Management.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 238 p.
  • 总页数 238
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物医学工程;
  • 关键词

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