[宏观北部地区一家公立医院心血管外科治疗患者的社会保障概况,十年分析]。

Rodrigo Peña J, Pablo Rivano G, Omar Quiroz F, Sebastián Quiroz F, Antonia Gómez R, Angeline San Martín C, Daniela Cofré U, Manuel Quiroz F, Victoria Flores R
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引用次数: 0

摘要

在智利,心血管疾病是导致死亡的主要原因,社会经济地位与发病率/死亡率之间呈反比关系。目前,有关智利北部宏观地区的信息还很缺乏。我们的目的是描述一家公立医院十年来接受介入治疗的患者的概况:我们对 2012 年至 2022 年期间接受介入治疗的患者进行了生态观察研究。数据通过使用 FONASA 代码进行标准化搜索获得,包括 "主要 "心血管介入治疗。不包括 "轻微 "介入治疗和在其他中心接受手术的患者。数据收集时间为 2021 年至 2023 年。我们创建了一个数据库,并使用描述性统计对其进行分析,其中考虑了年龄范围、医疗保险和每年治疗的患者人数等变量:共获得 N= 9.075 条记录,其中 8.908 条与 FONASA 有关。干预次数最多的年龄段是 18-60 岁(49.8%)和 60 岁以上(49.6%)。自 2017 年以来,超过 50%的干预对象是 60 岁以上的老年人。年度干预的百分比变化增加了 117%。关于基于医疗保险的干预,B 级占 46.7%(4.335 人),A 级占 24.2%(2.194 人)。我们观察到,A 级增加了 24%:我们发现,患者年龄较大,属于低收入阶层。此外,近年来有向 A 级迁移的趋势,干预措施也有所增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Social Security Profile of Cardiovascular Surgical Treated Patients of a Public Hospital in the Macro-Northern Zone, Analysis of a Decade].

Cardiovascular pathology is the leading cause of death in Chile, with an inverse relationship between socioeconomic status and morbidity/ mortality. Currently, there is a lack of information regarding the Macro North Zone of Chile. Our aim is to describe the profile of patients undergoing interventions in a public hospital over a decade.

Methods: An observational ecological study was conducted on patients who underwent interventions from 2012 to 2022. Data were obtained through standardized searches using FONASA codes, including "major" cardiovascular interventions. "Minor" interventions and patients operated on in other centers were excluded. Data collection took place between 2021 and 2023. A database was created and analyzed using descriptive statistics, considering variables such as age range, health insurance, and the number of patients treated per year.

Results: A total of N= 9.075 records were obtained, with 8.908 corresponding to FONASA. The age ranges with the highest number of interventions were 18-60 years (49,8%) and over 60 years (49,6%). Since 2017, more than 50% of interventions have been in individuals over 60 years old. Annual interventions presented an increase in the percentage variation by 117%. Regarding interventions based on health insurance, tier B accounted for 46,7% (4.335) and tier A for 24,2% (2.194). We observed an increase in tier A by 24%.

Conclusion: We found that patients are older and belong to lower-income tiers. Additionally, there is a migration towards tier A in recent years and an increase in interventions.

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