频繁使用公开会诊的决定因素:一项关于患者人口统计学、慢性病和初级保健利用模式的研究。

Porto biomedical journal Pub Date : 2025-03-07 eCollection Date: 2025-03-01 DOI:10.1097/j.pbj.0000000000000282
Cláudia A Leitão, Sílvia R Santos, Ana S Aguiar, Vera L Sousa, Helder A Lanhas, Filipe M Alves
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引用次数: 0

摘要

在葡萄牙,初级卫生保健的公开会诊解决了紧急医疗需求,占家庭医生活动的40-50%。经常出席(FAs),往往提出非急性问题,大大促进医疗保健的过度使用。本研究旨在确定2022年在初级卫生保健单位频繁使用口服避孕药的相关因素。对4269名成年患者进行了回顾性横断面分析,频繁就诊定义为四次或以上(≥90百分位数)。社会人口学和临床因素,包括年龄、性别、就业、慢性病和多病,使用二项logistic回归进行了检查。FAs (n = 570, 13.4%)占所有咨询的36.2%。显著相关变量包括女性(OR = 1.417)、经济不足(OR = 1.323)和多发病(OR = 1.678)。肌肉骨骼疾病(OR = 2.146)、心理疾病(OR = 2.040)和神经疾病(OR = 1.550)等疾病与频繁出勤密切相关。虽然FAs患者只占少数,但他们对OC服务的不成比例的使用强调了有针对性的干预措施的必要性,例如个性化护理计划和资源优化,以平衡需求和可用性。这些发现突出了提高卫生保健效率的政策和实践的关键领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinants of frequent use of open consultations: a study on patient demographics, chronic conditions, and utilization patterns in primary care.

In Portugal, open consultations (OCs) in primary health care address urgent medical needs, constituting 40-50% of family doctor activity. Frequent attenders (FAs), often presenting nonacute issues, significantly contribute to health care overuse. This study aimed to identify factors associated with frequent OC use in a primary health care unit during 2022. A retrospective cross-sectional analysis was conducted on 4,269 adult patients, with frequent attendance defined as four or more consultations (≥90th percentile). Sociodemographic and clinical factors, including age, sex, employment, chronic conditions, and multimorbidity, were examined using binomial logistic regression. FAs (n = 570, 13.4%) accounted for 36.2% of all consultations. Significant associated variables included female sex (OR = 1.417), economic insufficiency (OR = 1.323), and multimorbidity (OR = 1.678). Conditions such as musculoskeletal (OR = 2.146), psychological (OR = 2.040), and neurological (OR = 1.550) disorders were strongly linked to frequent attendance. While FAs represent a minority of patients, their disproportionate use of OC services underscores the need for targeted interventions, such as individualized care plans and resource optimization, to balance demand and availability. These findings highlight critical areas for policy and practice to enhance health care efficiency.

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