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医疗保健利用情况和多重疾病水平在瑞典选择初级保健提供者中的重要性。

Importance of healthcare utilization and multimorbidity level in choosing a primary care provider in Sweden.

作者信息

Ranstad Karin, Midlöv Patrik, Halling Anders

机构信息

Department of Clinical Sciences in Malmö, Lund University , Sweden.

出版信息

Scand J Prim Health Care. 2014 Jun;32(2):99-105. doi: 10.3109/02813432.2014.929819.

Abstract

OBJECTIVE

To study the associations between active choice of primary care provider and healthcare utilization, multimorbidity, age, and sex, comparing data from primary care and all healthcare in a Swedish population.

DESIGN

Descriptive cross-sectional study using descriptive analyses including t-test, correlations, and logistic regression modelling in four separate models.

SETTING AND SUBJECTS

The population (151 731) and all healthcare in Blekinge in 2007.

MAIN OUTCOME MEASURE

Actively or passively listed in primary care, registered on 31 December 2007.

RESULTS

Number of consultations (OR 1.31, 95% CI 1.30-1.32), multimorbidity level (OR 1.69, 95% CI 1.67-1.70), age (OR 1.03, 95% CI 1.03-1.03), and sex (OR for men 0.67, 95% CI 0.65-0.68) were all associated with registered active listing in primary care. Active listing was more strongly associated with number of consultations and multimorbidity level using primary care data (OR 2.11, 95% CI 2.08-2.15 and OR 2.14, 95% CI 2.11-2.17, respectively) than using data from all healthcare. Number of consultations and multimorbidity level were correlated and had similar associations with active listing in primary care. Modelling number of consultations, multimorbidity level, age, and sex gave four separate models with about 70% explanatory power for active listing in primary care. Combining number of consultations and multimorbidity did not improve the models.

CONCLUSIONS

Number of consultations and multimorbidity level were associated with active listing in primary care. These factors were also associated with each other differently in primary care than in all healthcare. More complex models including non-health-related individual characteristics and healthcare-related factors are needed to increase explanatory power.

摘要

目的

研究在瑞典人群中,主动选择初级医疗服务提供者与医疗服务利用、多种疾病共存、年龄及性别之间的关联,比较初级医疗和所有医疗服务的数据。

设计

描述性横断面研究,在四个独立模型中使用包括t检验、相关性分析和逻辑回归建模的描述性分析。

设置与研究对象

2007年布莱金厄的人群(151731人)及所有医疗服务。

主要观察指标

2007年12月31日在初级医疗中主动或被动登记的情况。

结果

就诊次数(比值比1.31,95%置信区间1.30 - 1.32)、多种疾病共存水平(比值比1.69,95%置信区间1.67 - 1.70)、年龄(比值比1.03,95%置信区间1.03 - 1.03)以及性别(男性比值比0.67,95%置信区间0.65 - 0.68)均与初级医疗中主动登记情况相关。与使用所有医疗服务的数据相比,使用初级医疗数据时,主动登记与就诊次数和多种疾病共存水平的关联更强(分别为比值比2.11,95%置信区间2.08 - 2.15和比值比2.14,95%置信区间2.11 - 2.17)。就诊次数和多种疾病共存水平相互关联,且与初级医疗中主动登记的关联相似。对就诊次数、多种疾病共存水平、年龄和性别进行建模得到四个独立模型,对初级医疗中主动登记情况的解释力约为70%。将就诊次数和多种疾病共存情况相结合并未改善模型。

结论

就诊次数和多种疾病共存水平与初级医疗中主动登记情况相关。这些因素在初级医疗中相互之间的关联与在所有医疗服务中的关联不同。需要更复杂的模型,包括非健康相关的个体特征和医疗服务相关因素,以提高解释力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1cd3/4075024/a04c1dffc613/pri-32-99_g001.jpg

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