丹麦医院登记的精神障碍:流行病学研究的内容和可能性综述。

IF 3.4 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Clinical Epidemiology Pub Date : 2025-04-16 eCollection Date: 2025-01-01 DOI:10.2147/CLEP.S509147
Oleguer Plana-Ripoll, Xiaoqin Liu, Ole Köhler-Forsberg, Henrik Toft Sørensen, Natalie C Momen
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引用次数: 0

摘要

背景:丹麦国家医院登记是精神病学数据的丰富来源。在丹麦人群中识别诊断出的精神障碍的潜力导致了大量重要的研究。然而,最近没有对这些研究来源的回顾。目的:回顾丹麦医院登记中有关精神障碍的内容、数据质量和流行病学考虑。方法:我们提供了丹麦医院登记(根据国际疾病分类第十版F组精神和行为障碍代码定义)中关于精神障碍的设置、历史和数据访问的信息。我们通过提供每年被诊断为精神障碍的个体数量、精神障碍类型、诊断、医院联系和联系单位,描述了丹麦医院登记册中精神障碍的长期登记情况。我们还提供了有关使用这些数据源时的注意事项的信息,包括数据质量。为此,我们检索PubMed以确定精神障碍诊断编码的验证研究。结果:1969年至2022年期间,在丹麦精神科至少有一次作为初级或二级诊断登记为患有精神障碍的1136280人(占这一时期居住在丹麦的所有人的10.7%)。接触类型和单位诊断根据精神障碍类型不同而不同。文献表明,丹麦医院精神障碍登记的编码诊断中有很大一部分被认为是有效的。结论:我们对丹麦医院登记的调查精神障碍的现有数据进行了概述。我们提高了研究人员在使用这些数据时应该意识到的局限性的认识,并讨论了它们的含义。在研究设计和报告基于登记的诊断精神障碍研究结果时,应仔细考虑这些因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mental Disorders in Danish Hospital Registers: A Review of Content and Possibilities for Epidemiological Research.

Background: The Danish national hospital registers are a rich source of data for psychiatric epidemiology. The potential to identify diagnosed mental disorders in the Danish population has resulted in a plethora of important research studies. However, no recent review of these research sources exists.

Objective: To review the content, data quality and epidemiological considerations regarding mental disorders in the Danish hospital registers.

Methods: We provide information on the setting, history, and data access regarding mental disorders in the Danish hospital registers (defined according to the International Classification of Diseases, Tenth Revision, F group Mental and behavioural disorder codes). We describe the registration of mental disorders over time in the Danish hospital registers, by providing counts of individuals diagnosed with mental disorders each year, by types of mental disorders, diagnosis, hospital contact, and contact unit. We also provide information on considerations when using these data sources, including data quality. For this, we searched PubMed to identify validation studies of coding of mental disorder diagnoses.

Results: Between 1969 and 2022, 1,136,280 individuals (10.7% of all individuals who resided in Denmark in this period) have been registered as having a mental disorder as a primary or secondary diagnosis in a psychiatric unit in Denmark at least once. The type of contact and unit diagnoses were made in varied by mental disorder type. The literature indicates that a large proportion of coded diagnoses in the Danish hospital registers of mental disorders were considered valid.

Conclusion: We provide an overview of the available data for investigating mental disorders in the Danish hospital registers. We raise awareness of the limitations researchers should be aware of when using this data and discuss their implications. Careful consideration should be given to these during study design and when reporting findings from register-based studies on diagnosed mental disorders.

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来源期刊
Clinical Epidemiology
Clinical Epidemiology Medicine-Epidemiology
CiteScore
6.30
自引率
5.10%
发文量
169
审稿时长
16 weeks
期刊介绍: Clinical Epidemiology is an international, peer reviewed, open access journal. Clinical Epidemiology focuses on the application of epidemiological principles and questions relating to patients and clinical care in terms of prevention, diagnosis, prognosis, and treatment. Clinical Epidemiology welcomes papers covering these topics in form of original research and systematic reviews. Clinical Epidemiology has a special interest in international electronic medical patient records and other routine health care data, especially as applied to safety of medical interventions, clinical utility of diagnostic procedures, understanding short- and long-term clinical course of diseases, clinical epidemiological and biostatistical methods, and systematic reviews. When considering submission of a paper utilizing publicly-available data, authors should ensure that such studies add significantly to the body of knowledge and that they use appropriate validated methods for identifying health outcomes. The journal has launched special series describing existing data sources for clinical epidemiology, international health care systems and validation studies of algorithms based on databases and registries.
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