Garrison Gregory M, Keuseman Rachel, Bania Buck, Robelia Paul, Pecina Jennifer
From the Department of Family Medicine, Mayo Clinic, Rochester, MN
From the Department of Family Medicine, Mayo Clinic, Rochester, MN.
J Am Board Fam Med. 2017 Jan 2;30(1):63-70. doi: 10.3122/jabfm.2017.01.160186.
The chronic disease model suggests continuity of care and team-based care can improve outcomes for multimorbidity patients and reduce hospitalizations. Continuity of care following admission has had mixed effects on readmission rates; however, its effect before admission has not been well studied. Increased outpatient care organization and continuity before admission is hypothesized to reduce the odds of readmission.
In a cohort of 14,662 primary care patients from a Patient-Centered Medical Home (PCMH) practice, continuity of care in the 12 months before admission was assessed using 3 established metrics; usual provider continuity (UPC), dispersion continuity of care (COC), and sequence continuity (SECON). In addition, because these established metrics may not accurately reflect continuity in planned team-based care, a new metric called visit entropy (VE) was used to quantify the disorganization of visits. Multivariate logistic regression was performed to examine the relationship between readmission within 30 days and continuity while controlling for known readmission risk factors abstracted from an electronic medical record.
Higher VE was associated with readmission (odds ratio, 1.10; 95% confidence interval, 1.02 to 1.19). The continuity measures of UPC, COC, and SECON were not associated with readmission.
Disorganized medical care, characterized by a higher VE, is associated with higher odds of readmission among hospitalized primary care patients. An association between traditional measures of continuity (UPC, COC, and SECON) and readmission was not found.
慢性病模型表明,连续性护理和团队式护理可改善多病共存患者的治疗效果并减少住院次数。入院后的连续性护理对再入院率的影响不一;然而,其入院前的影响尚未得到充分研究。据推测,入院前增加门诊护理组织和连续性可降低再入院几率。
在一个以患者为中心的医疗之家(PCMH)诊所的14662名初级护理患者队列中,使用3种既定指标评估入院前12个月的护理连续性;常规医疗服务提供者连续性(UPC)、护理分散连续性(COC)和顺序连续性(SECON)。此外,由于这些既定指标可能无法准确反映基于团队的计划护理中的连续性,因此使用一种名为就诊熵(VE)的新指标来量化就诊的无序程度。进行多变量逻辑回归,以检验30天内再入院与连续性之间的关系,同时控制从电子病历中提取的已知再入院风险因素。
较高的VE与再入院相关(比值比,1.10;95%置信区间,1.02至1.19)。UPC、COC和SECON的连续性指标与再入院无关。
以较高的VE为特征的医疗护理无序与住院初级护理患者再入院几率较高相关。未发现连续性的传统指标(UPC、COC和SECON)与再入院之间存在关联。