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Journal Article

Citation

Moradinazar M, Najafi F, Baneshi MR, Haghdoost AA. Bull. Emerg. Trauma 2019; 7(2): 99-104.

Affiliation

Modeling in Health Research Center, Institute for Future Studies in Health, Kerman University of Medical Science, Kerman, Iran.

Copyright

(Copyright © 2019, Trauma Reseach Center, Shiraz University of Medical Sciences)

DOI

10.29252/beat-070202.

PMID

31198796

PMCID

PMC6555204

Abstract

OBJECTIVE: To estimate (under reporting) UR of SDS (Suicide deaths) and SAS (suicide attempts) in Kermanshah Province which is among provinces with high suicide rate in Iran.

METHODS: For estimating the size of UR suicide death registers, all cases of SAS and suicide deaths were retrieved from forensic medicine and health centers. Then, using network scale up method, a sample of 500 cases, aged 18 to 65 years, were randomly selected from the general population on the basis of age - sex proportion. To find the 95% confidence interval, bootstrap technique was used.

RESULTS:  The average coverage of SDS was 58.4%, the lowest and highest coverage rate of SDS were attributed to self-immolation (34.2%) and hanging (81.2%), respectively. The coverage rate of SAS for self-immolation and deliberate self-poisoning were 82.4% and 77.2%, respectively. Size estimation of SAS by NSU method revealed that deliberate self-poisoning with medication (61.7%), poisoning with toxins and chemicals (20.6%), and self-immolation (7.7%) were the most frequent methods of SAS.

CONCLUSION: Given the low coverage of suicide registers, all causes of death, especially deaths classified as accident or deaths with undetermined category, are required to be accurately registered. Investigations of causes of death, correction of wrong codes, as well as interviews with survivors to give them assurance can reduce the rate of suicide denial and result in increased accuracy of death register coverage.


Language: en

Keywords

Network scale up; Size estimation; Suicide; Under reporting

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