[神经内科转诊专家的效率概况:使用病例混合系统调整的临床组]。

A Sicras-Mainar, R Navarro-Artieda
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引用次数: 1

摘要

目的:通过在基层医疗机构中回顾性实施调整临床分组(ACG),确定一般转诊率、每个中心的神经病学发生率以及调整后的效率指标。患者和方法:设计多中心回顾性研究。包括2006年期间由五个初级保健小组(PCT)诊治的病人。主要测量是一般参数、年龄、性别、依赖(就诊和发作)以及每个患者相对于每个ACG的发病率。转诊率被定义为转诊次数和就诊次数之间的商。建立了效率指数(EI),用观察值除以间接标准化得到的期望转诊值。差异有统计学意义,p < 0.05。结果:研究患者80775例(使用率:72.4%),4.8 +/- 3.5次发作,7.9 +/- 8.2次就诊/患者/年。转诊率为9.0%(混合区间[CI]: 8.8-9.2);年龄:44.8±22.8岁(女性:54.6%),p = 0.000。平均每100名就诊患者每年转诊70.5例(p = 0.000),其中2.5%转诊至神经科,患者年龄较大,以女性为主,以头痛/偏头痛为主要就诊原因。就诊和发作的解释分别为43.2% ~ 73.9% (p = 0.000),分类变异的解释能力为46.3% (p = 0.0001),转诊的解释能力为20.1%。每个中心的EI分别为:0.97 (CI: 0.77-1.18)、0.79 (CI: 0.57-1.01)、0.88 (CI: 0.62-1.14)、1.29 (CI: 0.94-1.65)和0.91 (CI: 0.58-1.25), p = 0.023(家庭执业)和0.90 (CI: 0.47-1.33)、0.78 (CI: 0.35-1.21)、0.93 (CI: 0.43-1.44)、1.21 (CI: 0.60-1.82)和0.97 (CI: 0.39-1.56), p = 0.031(儿科);分别。结论:ACG调整的发病率解释了转诊变异性的重要部分。来自神经病学的比例很低。即使经过年龄、性别和发病率的调整,研究结果也必须谨慎解释。如果结果得到证实,它将允许改进PCT临床管理转诊的测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Efficiency profile in the neurological referrals effectuate reference specialists: use case-mix system adjusted clinical groups].

Objectives: To determine the general referral and neurological rate per center and the adjusted efficiency indexes, through the retrospective implementation of the Adjusted Clinical Groups (ACG) in a primary care setting.

Patients and methods: To design multicenter retrospective study. Attended patients by five primary care teams (PCT) during the year 2006 were included. The main measurements were general parameters, age, gender, dependent (visits and episodes) and morbidity of each patient relative to each ACG. The referral rate was defined as the quotient between the number of referrals and the visits made. Efficiency Index (EI) was established dividing the observed by the expected referrals obtained by indirect standardization. Statistical significance, p < 0.05.

Results: Studied patients 80775 (use: 72.4%), 4.8 +/- 3.5 episodes and 7.9 +/- 8.2 visits/patient/year. Percentage of visits with a referral was 9.0% (confiance interval [CI]: 8.8-9.2); age: 44.8 +/- 22.8 years (women: 54.6%), p = 0.000. The average of referrals was of 70.5 per 100 attended-patients/year (p = 0.000) 2.5% referrals of the total were made to the neurological, being patient of greater age, with predominance of women and displaying the head pain/migraine as main consultation reason. Visits and episodes explain 43.2%-73.9% respectively (p = 0.000), the explanatory power of the classification's variability was of 46.3% (p = 0.0001) and the referral 20.1%. EI per center were: 0.97 (CI: 0.77-1.18), 0.79 (CI: 0.57-1.01), 0.88 (CI: 0.62-1.14), 1.29 (CI: 0.94-1.65) and 0.91 (CI: 0.58-1.25), p = 0.023 (family practice) and 0.90 (CI: 0.47-1.33), 0.78 (CI: 0.35-1.21), 0.93 (CI: 0.43-1.44), 1.21 (CI: 0.60-1.82) and 0.97 (CI: 0.39-1.56), p = 0.031 (pediatrics); respectively.

Conclusions: Adjusted morbidity by ACG explains an important part of the referrals variability. A low percentage was derived to neurology. The study results must be interpreted cautiously even after adjustment by age, gender and morbidity. Should the results be confirmed it would allow an improvement in the measurement of referrals for clinical management in the PCT.

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