Postgraduate Program in Collective Health, Federal University of Pernambuco, Recife, PE, Brazil.
Maurício de Nassau University Center, Health Secretary of Recife, Recife, PE, Brazil.
BMC Public Health. 2022 Jun 9;22(1):1154. doi: 10.1186/s12889-022-13455-8.
Suicides and suicide attempts are major public health problems, and coping strategies are hampered by insufficient or inadequate notifications. Data accuracy influences the formulation of public and mental health policies and suicide prevention strategies. The objective of this study was to analyze the completeness of self-harm and suicide records in the state of Pernambuco, Brazil, 2014-2016.
This is an evaluative study with a descriptive design. The data were collected from suicide attempt records from the Notifiable Diseases Information System and suicide records from the Mortality Information System. Probabilistic linkage was used to relate these databases, and the degree of completeness of the variables was calculated. Completeness was classified into the following categories: good (≥ 75.1%), regular (50.1%-75.0%), low (25.1%-50.0%), and very low (≤ 25.0%).
In the analyzed period, 1,404 notifications of self-harm were studied, with an overall mean completeness of 86.2%. In addition, 1,050 suicide records were analyzed, with an overall mean completeness of 95.8%. Most variables referring to suicide attempts had good completeness, with the exception of the variables "occupation" and "education." The completeness of all suicide-related variables was rated as good. After linkage, a significant improvement was observed in the degree of completeness of the variable "occupation".
The results of this study showed that the completeness of self-harm and suicide variables improved from the first to the last year. The integration of data from different information systems provides an opportunity to improve suicide prevention programs and the quality of available information. Continuous efforts to increase the completeness and reliability of suicide surveillance systems are fundamental to describe the epidemiological profile and, consequently, plan preventive actions, in addition to contributing to the development and reformulation of strategies aimed at reducing morbidity and mortality related to suicidal behavior.
自杀和自杀未遂是重大的公共卫生问题,应对策略因通知不足或不充分而受到阻碍。数据的准确性影响公共卫生和精神卫生政策以及自杀预防策略的制定。本研究的目的是分析 2014-2016 年巴西伯南布哥州自残和自杀记录的完整性。
这是一项具有描述性设计的评估研究。数据来自疾病监测信息系统中的自杀未遂记录和死亡信息系统中的自杀记录。使用概率链接将这些数据库相关联,并计算变量的完整性程度。完整性分为以下几类:良好(≥75.1%)、中等(50.1%-75.0%)、低(25.1%-50.0%)和极低(≤25.0%)。
在所分析的时期内,研究了 1404 例自残通知,总体平均完整性为 86.2%。此外,分析了 1050 例自杀记录,总体平均完整性为 95.8%。大多数自杀未遂相关变量的完整性良好,除了“职业”和“教育”变量外。所有与自杀相关的变量的完整性均被评为良好。链接后,“职业”变量的完整性程度显著提高。
本研究结果表明,自残和自杀变量的完整性从第一年到最后一年有所提高。来自不同信息系统的数据整合为改善自杀预防计划和提高现有信息质量提供了机会。不断努力提高自杀监测系统的完整性和可靠性,对于描述流行病学特征,从而规划预防措施,以及有助于制定和修改旨在降低与自杀行为相关的发病率和死亡率的策略,都是至关重要的。