| Literature DB >> 27274355 |
Ashley K Hagaman1, Uden Maharjan2, Brandon A Kohrt3.
Abstract
BACKGROUND: Despite increasing recognition of the high burden of suicide deaths in low- and middle-income countries, there is wide variability in the type and quality of data collected and reported for suspected suicide deaths. Suicide data are filtered through reporting systems shaped by social, cultural, legal, and medical institutions. Lack of systematic reporting may underestimate public health needs or contribute to misallocation of resources to groups most at risk.Entities:
Keywords: Developing countries; Health systems; Law enforcement; Nepal; Policy; Suicide; Suicide detection; Vital surveillance
Year: 2016 PMID: 27274355 PMCID: PMC4895957 DOI: 10.1186/s13033-016-0073-7
Source DB: PubMed Journal: Int J Ment Health Syst ISSN: 1752-4458
Semi-structured interview participant characteristics
| Subject# | Category | Facility | Occupation | Gender | Age |
|---|---|---|---|---|---|
| 1 | Administrative | Government Ministry | Statistician | Male | 40–49 |
| 2 | Administrative | Government Ministry | Surveillance director | Male | 40–49 |
| 3 | Administrative | Multi-lateral organization | Program researcher | Female | 30–39 |
| 4 | Administrative | Multi-lateral organization | Department director | Female | 40–49 |
| 5 | Administrative | Multi-lateral organization | Program coordinator | Female | >50 |
| 6 | Administrative | Multi-lateral organization | Development officer | Male | 30–39 |
| 7 | Administrative | Multi-lateral organization | Technical advisor | Male | 30–39 |
| 8 | Administrative | Multi-lateral organization | Technical advisor | Male | 30–39 |
| 9 | Administrative | NGO | Researcher | Male | 30–39 |
| 10 | Administrative | NGO | Researcher | Male | 30–39 |
| 11 | Administrative | Village Development Office | Data clerk | Female | 40–49 |
| 12 | Health | Academic hospital | Psychiatrist | Male | 40–49 |
| 13 | Health | District Health Office | District health officer | Male | >50 |
| 14 | Health | Government Ministry | Statistician | Male | 40–49 |
| 15 | Health | Government Ministry | Director | Male | 40–49 |
| 16 | Health | Government Ministry | Information management | Male | 40–49 |
| 17 | Health | Government Ministry | Epidemiologist | Male | >50 |
| 18 | Health | Government Ministry | Retired official | Male | >50 |
| 19 | Health | Multilateral organization | Psychosocial lead | Male | 30–39 |
| 20 | Health | National Hospital | Head nurse | Female | >50 |
| 21 | Health | National Hospital | Psychologist/professor | Female | 40–49 |
| 22 | Health | National Hospital | Psychiatrist resident | Male | 30–39 |
| 23 | Health | National Hospital | Psychiatrist | Male | 40–49 |
| 24 | Health | National Hospital | Professor and psychiatrist | Male | >50 |
| 25 | Health | National Hospital | Psychiatric resident | Male | 30–39 |
| 26 | Health | NGO | Psychologist | Female | 30–39 |
| 27 | Health | NGO | Program manager | Female | 30–39 |
| 28 | Health | NGO | Psychological counselor | Female | 30–39 |
| 29 | Health | NGO | Psychosocial worker | Male | 40–49 |
| 30 | Health | NGO | Researcher | Male | 40–49 |
| 31 | Health | Private Hospital | Director | Male | 40–49 |
| 32 | Legal | Lawyer | Lawyer | Male | 20–29 |
| 33 | Legal | Police | Division director | Female | 30–39 |
| 34 | Legal | Police | High-ranking official | Female | 40–49 |
| 35 | Legal | Police | High-ranking official | Male | 40–49 |
| 36 | Legal | Police | Police officer | Male | 40–49 |
Fig. 1Reporting pathways through governmental health, police, and administrative systems
Fig. 2Summary of barriers to reporting pathways for suicide deaths
Documentation procedures, policies, and practices as reported by stakeholders
| Stakeholder group | Roles with group | Legal requirements related to suicide | Policy providing guidelines | Definition of suicide | Reported experience |
|---|---|---|---|---|---|
| Nepal Police (Ministry of Home Affairs) | Local police intake individual report and relay to the district police office | Investigative reporting, documenting witnesses, submitting case file and evidence to the court system | Section 187: Draft Penal Code (abatement of suicide) | No explicit definition in the Penal Code nor the Muluki Ain | Individuals do not report suicides to police |
| Health system (Ministry of Health and Population) | DEATHS: | DEATHS: | Standardized reporting forms designed by MoHP | lCD codes (X60, X68, X70, X78) | Suicides do not present to the health sector |
| VDC or Municipality (Ministry of Federal Affairs and local Development) | Issue death certificates. If death is reported as suicide, the office requires a police investigation and doctor's report | All unnatural deaths must have supporting police and medical reports. Send aggregated data to the District Development Office | Civil Registration Act of 1976 | Police and medical documentation related to the cause of death | Individuals never report a death to VDC as suicide |
| Other government institutions | Central Bureau of Statistics is charged with collecting and reporting data from the police, MoHP, and other ministries |
Fig. 3Digitized hand-drawn surveillance network samples from five informants
Fig. 4Governing units of Nepal with corresponding police, administrative, and health institutions
Suicide-related and unidentified intent indicators in Nepal’s health management and information system
| ICD-10 codea | Disease description |
|---|---|
| X60 | Intentional self-poisoning by exposure to non-opioid analgesics, antipyretics and antirheumatics |
| X68 | Intentional self-poisoning by and exposure to pesticides |
| X70 | Intentional self-harm by hanging, strangulation and suffocation |
| X78 | Intentional self-harm by sharp object |
| T60 | Toxic effect of pesticides |
| T62 | Toxic effect of other noxious substances eaten as food |
| T65 | Toxic effect of other and unspecified substances |
aBurn and other detailed injuries not included. All self harm indicators are included
Extent of ‘control’ across institutional category
| Police | Health | Community | Development | ||
|---|---|---|---|---|---|
| Indegree, N (%) | 46 (40) | 36 (31) | 30 (26) | 4 (4) | |
| Outdegree, N (%) | 37 (32) | 33 (28) | 45 (39) | 0 | |