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哈瑟尔特新冠疫情影响研究:新冠病毒病对荷兰一个小镇医疗就诊情况的影响

Hasselt Corona Impact Study: Impact of COVID-19 on healthcare seeking in a small Dutch town.

作者信息

Veldman Carlijn, Van Gijssel Erik A, Van Rooij Annelot H, Buitenhuis Lonneke, Van Den Berg Jan Willem K, Blanker Marco H

机构信息

Department of Pulmonary Medicine, Isala Hospital, Zwolle, The Netherlands.

Department of Pulmonary Medicine, University Medical Centre Groningen, Groningen, The Netherlands.

出版信息

NPJ Prim Care Respir Med. 2025 Apr 6;35(1):21. doi: 10.1038/s41533-025-00426-w.

DOI:10.1038/s41533-025-00426-w
PMID:40188237
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11972328/
Abstract

We investigated healthcare avoidance during the first COVID-19 wave in a Dutch region with high infection rates. A mixed-method, multiphase study used (1) primary care electronic health records to identify patients, (2) questionnaires to capture patients with unreported COVID-19 symptoms, and (3) interviews om care avoidance. Additionally, a natural language model estimated COVID-19 incidence from routine care data. Of 2361 respondents (39% response rate), 535 (23%) reported COVID-19 symptoms; 180 sought help, mainly from GPs. Care-seeking rates did not differ significantly between those with or without relatives who experienced severe illness or death before their own illness (p = 0.270). Interviews showed the main barriers were feeling not ill enough and concerns about an overstressed healthcare system, especially GPs. Only a third of participants with symptoms sought help, mostly from GPs. Serious illness or death of loved ones had no significant impact. Findings highlight the need for clear communication and accessible healthcare, including telemedicine, for future pandemics.

摘要

我们在荷兰一个感染率高的地区调查了新冠疫情第一波期间的医疗回避情况。一项混合方法的多阶段研究采用了:(1)初级保健电子健康记录来识别患者;(2)问卷调查以捕捉有未报告新冠症状的患者;(3)访谈以了解医疗回避情况。此外,一个自然语言模型从常规护理数据中估计新冠发病率。在2361名受访者中(回复率39%),535人(23%)报告有新冠症状;180人寻求帮助,主要是向全科医生求助。在自己患病前有亲属经历过严重疾病或死亡的人与没有此类亲属的人之间,寻求医疗帮助的比例没有显著差异(p = 0.270)。访谈显示,主要障碍是感觉病情不够严重以及担心医疗系统,尤其是全科医生不堪重负。只有三分之一有症状的参与者寻求了帮助,大多是向全科医生求助。亲人的重病或死亡没有显著影响。研究结果凸显了在未来大流行期间进行清晰沟通以及提供包括远程医疗在内的可及医疗服务的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9a8/11972328/23d4739b563d/41533_2025_426_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9a8/11972328/7c738e8c5ead/41533_2025_426_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9a8/11972328/23d4739b563d/41533_2025_426_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9a8/11972328/7c738e8c5ead/41533_2025_426_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9a8/11972328/23d4739b563d/41533_2025_426_Fig2_HTML.jpg

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本文引用的文献

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Data Resource Profile: Registry of electronic health records of general practices in the north of The Netherlands (AHON).数据资源简介:荷兰北部全科医疗电子健康记录登记处(AHON)
Int J Epidemiol. 2024 Feb 14;53(2). doi: 10.1093/ije/dyae021.
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A Natural Language Processing Model for COVID-19 Detection Based on Dutch General Practice Electronic Health Records by Using Bidirectional Encoder Representations From Transformers: Development and Validation Study.基于荷兰全科电子健康记录的 COVID-19 检测自然语言处理模型:使用转换器的双向编码器表示进行开发和验证研究。
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Postponed healthcare in The Netherlands during the COVID-19 pandemic and its impact on self-reported health.
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J Ment Health. 2023 Apr;32(2):480-491. doi: 10.1080/09638237.2021.2022620. Epub 2022 Jan 11.
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