Analysis of the completeness of self-harm and suicide records in Pernambuco, Brazil, 2014–2016

Author:

da Fonsêca Jéssica Ramalho,de Oliveira Conceição Maria,de Castro Cláudia Cristina Lima,da Costa Heitor Victor Veiga,Galvão Pauliana Valéria Machado,da Costa Ceballos Albanita Gomes,do Bonfim Cristine Vieira

Abstract

Abstract Introduction 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. Methods 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%). Results 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”. Conclusion 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.

Funder

coordenação de aperfeiçoamento de pessoal de nível superior

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health

Reference50 articles.

1. Bailey RK, Patel TC, Avenido J, Patel M, Jaleel M, Barker NC, Khan JA, All S, Jabeen S. Suicide: current trends. J Natl Med Assoc. 2011;103(7):614–7.

2. Naghavi M, Global Burden of Disease Self-Harm Collaborators. Global, regional, and national burden of suicide mortality 1990 to 2016: systematic analysis for the Global Burden of Disease Study 2016. BMJ. 2019; https://doi.org/10.1136/bmj.l94.

3. Palma DCA, Santos ESD, Ignotti E. Analysis of spatial patterns and characterization of suicides in Brazil from 1990 to 2015. Cad SaúdePública. 2020; https://doi.org/10.1590/0102-311X00092819.

4. O’Connor E, Gaynes B, Burda BU, et al. Screening for suicide risk in primary care: a systematic evidence review for the U.S. Preventive Services Task Force. Rockville (MD): Agency for Healthcare Research and Quality (US); 2013. https://www.ncbi.nlm.nih.gov/books/NBK137739/table/ch1.t1/. Accessed 25 Nov 2021.

5. Crosby AE, Ortega L, Melanson C. Self-directed violence surveillance: uniform definitions and recommended data elements. Atlanta, GA: Centers for Disease Control and Prevention, National Center for Injury Prevention and Control; 2011.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3