ArticlePloS one2020
National Ambulance Surveillance System: A novel method using coded Australian ambulance clinical records to monitor self-harm and mental health-related morbidity.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed.
- Prehospital suicide mortality in the Lake Van basin: rural-urban disparities from three-year EMS dispatch surveillance in eastern Türkiye.BMC emergency medicine · 2026Article
- Mapping Adolescent Suicidal and Non-Suicidal Self-Injurious Behaviours Across Eastern Australia.Journal of community health · 2026Article
- Association between the location of Opioid Agonist Treatment (OAT) providers and heroin-related ambulance attendances.Substance abuse treatment, prevention, and policy · 2026Article
- Patterns of Acute Gamma-Hydroxybutyrate Harms Requiring Ambulance Attendance: Should Greater Focus Be on Regional Areas?Drug and alcohol review · 2025Article
- The Danish Drowning Cohort: Utstein-style data from fatal and non-fatal drowning incidents in Denmark.BMC medical research methodology · 2025Article
- Opioid-related harms and experiences of care among people in justice settings in New South Wales, Australia: evidence from the National Ambulance Surveillance System.Harm reduction journal · 2025Article
- Exploring the reliability and profile of frequent mental health presentations using different methods: An observational study using statewide ambulance data over a 4-year period.The Australian and New Zealand journal of psychiatry · 2025Observational
- Recommended nursing care for people with mental disorders in mobile prehospital care: a scoping review.Revista brasileira de enfermagem · 2025Article
- Characteristics of surveillance systems for suicide and self-harm: A scoping review.PLOS global public health · 2024Article
- Ascertaining injury risk issues through big data analysis: text-mining based analysis of national emergency response data.Frontiers in public health · 2024Article
- Increased ambulance attendances related to suicide and self-injury in response to the pandemic in Australia.The Australian and New Zealand journal of psychiatry · 2023Article
- Increased self-immolation frequency and severity during the COVID-19 pandemic.Burns : journal of the International Society for Burn Injuries · 2022Article
- The Utility of Ambulance Dispatch Call Syndromic Surveillance for Detecting and Assessing the Health Impact of Extreme Weather Events in England.International journal of environmental research and public health · 2022Article
- Suicide and self-harm surveillance across the Western Pacific: A call for action.The Lancet regional health. Western Pacific · 2022Article
- Changes in alcohol intoxication-related ambulance attendances during COVID-19: How have government announcements and policies affected ambulance call outs?The Lancet regional health. Western Pacific · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Self-harm and mental health are inter-related issues that substantially contribute to the global burden of disease. However, measurement of these issues at the population level is problematic. Statistics on suicide can be captured in national cause of death data collected as part of the coroner's review process, however, there is a significant time-lag in the availability of such data, and by definition, these sources do not include non-fatal incidents. Although survey, emergency department, and hospitalisation data present alternative information sources to measure self-harm, such data do not include the richness of information available at the point of incident. This paper describes the mental health and self-harm modules within the National Ambulance Surveillance System (NASS), a unique Australian system for monitoring and mapping mental health and self-harm. Data are sourced from paramedic electronic patient care records provided by Australian state and territory-based ambulance services. A team of specialised research assistants use a purpose-built system to manually scrutinise and code these records. Specific details of each incident are coded, including mental health symptoms and relevant risk indicators, as well as the type, intent, and method of self-harm. NASS provides almost 90 output variables related to self-harm (i.e., type of behaviour, self-injurious intent, and method) and mental health (e.g., mental health symptoms) in the 24 hours preceding each attendance, as well as demographics, temporal and geospatial characteristics, clinical outcomes, co-occurring substance use, and self-reported medical and psychiatric history. NASS provides internationally unique data on self-harm and mental health, with direct implications for translational research, public policy, and clinical practice. This methodology could be replicated in other countries with universal ambulance service provision to inform health policy and service planning.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.