Evidence map›Paper›PMID 35818024›Full record

ReviewBMC medical informatics and decision making2022

Design, development, and evaluation of a surveillance system for suicidal behaviors in Iran.

Mohsen Shafiee, Mohammad Mahboubi, Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi

Abstract readReview
In one paragraph

Review in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Development and Implementation of National Real-Time Surveillance System for Suicide Attempts in Uruguay.International journal of environmental research and public health · 2025
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mohsen ShafieeDepartment of Nursing, Abadan University of Medical Sciences, Abadan, Iran.ORCID 0000-0002-9511-585X
Mohammad MahboubiDepartment of Public Health, Abadan University of Medical Sciences, Abadan, Iran.ORCID 0000-0001-9422-0714
Mostafa ShanbehzadehDepartment of Health Information Technology, School of Paramedical, Ilam University of Medical Sciences, Ilam, Iran.ORCID 0000-0002-5190-286X
Hadi Kazemi-ArpanahiDepartment of Health Information Technology, Abadan University of Medical Sciences, Abadan, Iran. h.kazemi@abadanums.ac.ir.ORCID 0000-0002-8882-5765

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuicide is a serious cause of morbidity and mortality in Iran and worldwide. Although several organizations gather information on suicide and suicide attempts, there is substantial misperception regarding the description of the phenomenon. This study proposes the minimum data set (MDS) for suicidal behaviors surveillance.

methodsA literature review was first conducted to achieve a thorough overview of suicide-related items and map the existing evidence supporting the development of the MDS. The data items included in the literature review were then analyzed using a two-round Delphi technique with content validation by an expert panel. The suicidal behaviors surveillance system was then established based on the confirmed MDS, and ultimately, its performance was assessed by involving the end-users.

resultsThe panel of experts consisted of 50 experts who participated in the Delphi phase and validity content review. Of these, 46% were men, and their mean age and average work experience were (36.4, SD ± 6.4) and (12.32, SD ± 5.2) years, respectively. The final MDS platform of our study contained 108 items classified into eight main categories. A web-based system with a modular and layered architecture was developed based on the derived MDS.

conclusionThe developed system provides a framework for recording suicidal behaviors' data. The integration of multiple suicide-related information systems at the regional and national levels makes it possible to assess the long-term outcomes and evolutions of suicide prevention interventions.

Indexed as

Suicidal IdeationSuicide, AttemptedFemaleHumansIranMaleMinimum data setSuicideSuicide behaviorSurveillance system

Identifiers

PMID35818024
PMCPMC9275034

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.