Public but ineffective: Fatality inquiries into childhood deaths in Alberta.
Verbeke, M.-C.; Mitchell, I.
Show abstract
IntroductionChild Death Review (CDR) processes are public efforts to review a childs death to understand how and why children die, to improve child health and to prevent future deaths. In 2013, the Canadian Paediatric Society made specific recommendations to establish structured and comprehensive CDR systems in each province and territory. In Alberta, there is no comprehensive CDR process but there are some components. The most public and probably the most expensive component is the public fatality inquiry. A new notification policy adopted after in June 2017 appears to be of limited value for child death prevention. MethodsWe examined all Alberta fatality inquiry reports from January 1, 1995 to April 15, 2023 concerning children aged 0-17 years (n=133) to determine whether the fatality inquiry system might be effective in preventing future similar deaths. ResultsRecommendations made by judges in a fatality inquiry were not always followed by action, and hence inquiry recommendations have been largely ineffective. Fatality inquiry recommendations were sometimes untimely, and therefore had little chance of being effective. There is an increasing trend from 1995 (case 1) to 2023 (case 133) in the time taken to initiate a child fatality inquiry review. Discussion and ConclusionInformation and recommendations from fatality inquiries into Alberta childhood deaths tend to be delayed and not followed by action. A comprehensive CDR process is required in Alberta. With system changes, public fatality inquiries could be an effective part of the child death prevention process.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Protocol for the Houston Hospital-Based Violence Intervention Program 93%
- Opinions of Former Jail Residents about Self-collection of SARS-CoV-2 Specimens, Paired with Wastewater Surveillance: A Qualitative Study Rapidly Examining Acceptability of COVID-19 Mitigation Measures 93%
- Unlocking the mentally ill in Indonesia: An empirical study of the effectiveness of a “Bebas Pasung” program in Central Java 92%
Similar papers in this journal
- Common Factors in Serious Case Reviews of Child Maltreatment where there is a Medical Cause of Death: Qualitative Thematic Analysis 94%
- Examining the intersection of child protection and public housing: development, health and justice outcomes using linked administrative data 93%
- Synthesizing evidence regarding community-based volunteer facilitated programs supporting integrated care transitions from hospital to home: A scoping review protocol 92%
Similar papers in this journal
- Sources of Stress and Coping Mechanisms: Experiences of Maternal Health Care Providers in Western Kenya 92%
- How do local-level authorities engage in epidemic and pandemic preparedness activities and coordinate with higher levels of government? Survey results from 33 cities 91%
- “ She helped from the first minute to the last ” – experiences of respectful maternal and newborn care during the COVID-19 pandemic in Nampula Province, Mozambique 91%
Similar papers in this journal
- Temporal Geospatial Analysis of COVID-19 Pre-infection Determinants of Risk in South Carolina 91%
- A rapid review of COVID-19 vaccine prioritization in the U.S.: alignment between Federal guidance and State practice 91%
- Differences in COVID-19 Risk by Race and County-Level Social Determinants of Health Among Veterans 91%
Similar papers in this journal
- Feasibility, Acceptability, and Barriers to Implementing Select Non-Pharmaceutical Interventions to Reduce the Transmission of Pandemic Influenza - United States, 2019 93%
- SARS-CoV-2 Transmission Potential and Policy Changes in South Carolina, February 2020 – January 2021 92%
- Late surges in COVID-19 cases and varying transmission potential partially due to public health policy changes in 5 Western states, March 10, 2020-January 10, 2021 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.