Djajadisastra Ferdi W
National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.
J Prev Med Public Health. 2025 Mar;58(2):114-126. doi: 10.3961/jpmph.24.448. Epub 2024 Nov 20.
In this review, the primary objective was to comprehensively summarize and evaluate the themes and analytical strategies of studies that used data linkage methods to examine the healthcare engagement of individuals with self-harming and suicidal tendencies. Additionally, the review sought to identify gaps in the existing literature and suggest directions for future research in this area.
This review utilized the PubMed, PsycINFO, and Scopus databases. Employing a scoping review methodology, 27 papers were analyzed.
One particularly common data source is the routine information collected by government agencies. However, some studies supplement this data with newly collected information. Compared to other research methods, data linkage offers the advantage of incorporating participants from diverse backgrounds into the analysis. Most relevant studies using data linkage methods have primarily focused on identifying socio-demographic correlates of self-harm, suicide deaths, and healthcare interactions. Additionally, some studies have used cluster analysis to identify patterns of healthcare utilization within affected populations. Certain papers have employed unique methods to measure self-harm and healthcare interactions, while one study utilized a moderator analytical approach.
Data linkage offers a promising approach for researching the dynamics between self-harm, suicide, and healthcare contact. A notable challenge, however, is the focus of most studies on the associations between socio-demographic factors and the risks of self-harm and suicide.
在本综述中,主要目标是全面总结和评估使用数据链接方法来研究有自我伤害和自杀倾向个体的医疗保健参与情况的研究主题及分析策略。此外,该综述旨在找出现有文献中的差距,并为该领域的未来研究提出方向。
本综述利用了PubMed、PsycINFO和Scopus数据库。采用范围综述方法,分析了27篇论文。
一个特别常见的数据源是政府机构收集的常规信息。然而,一些研究用新收集的信息对这些数据进行补充。与其他研究方法相比,数据链接的优势在于能将来自不同背景的参与者纳入分析。大多数使用数据链接方法的相关研究主要集中于确定自我伤害、自杀死亡及医疗保健互动的社会人口统计学相关因素。此外,一些研究使用聚类分析来识别受影响人群中的医疗保健利用模式。某些论文采用了独特的方法来衡量自我伤害和医疗保健互动,而有一项研究采用了调节变量分析方法。
数据链接为研究自我伤害、自杀和医疗接触之间的动态关系提供了一种很有前景的方法。然而,一个显著的挑战是大多数研究聚焦于社会人口统计学因素与自我伤害和自杀风险之间的关联。