Suicide is a leading cause of preventable death worldwide. Evidence supports the impact of providing active contact for individuals who have attempted suicide. The current systematic review and meta-analyses aim to investigate the effects of suicide prevention strategies implemented through remote and synchronous technology-based interventions.

Systematic review, narrative synthesis and meta-analysis.

Electronic databases (PubMed, PsycINFO, Scopus and Web of Science) and grey literature sources (ClinicalTrials.gov and Google Scholar) were searched until December 2024.

Eligible articles assessed suicide prevention interventions for participants over 12 years with prior suicidal behaviour. Eligible study designs included randomised controlled trials and non-randomised clinical trials published in English or Spanish.

Screening, selection process, data extraction and risk of bias assessment were performed independently by two reviewers. Data on suicide-related factors and adherence to treatment were extracted. Meta-analyses were conducted to determine effect sizes (Hedges’ g) for suicidal ideation, risk ratios (RR) for suicide attempts and Peto odds ratios (OR) for suicide. Heterogeneity was assessed using the Cochrane’s Q test, tau² statistic and I² value. Publication bias was investigated employing funnel plots and Egger’s test.

A total of 28 studies, comprising 10 015 participants in the intervention group and 10 726 in the comparison group, were included in the systematic review and meta-analyses. Synchronous remote-based interventions were effective in preventing repeated suicide attempts at 1 month (RR 0.73, 95% CI 0.62 to 0.85, I²=0.0%, Q=0.70, tau²=0.00), 6 months (RR 0.56, 95% CI 0.34 to 0.95, I²=85.4%, Q=54.92, tau²=0.36) and 12 months (RR 0.68, 95% CI 0.49 to 0.96, I²=87.6%, Q=72.63, tau²=0.27). Additionally, these interventions were associated with a reduction in suicide-related deaths at 18 months (Peto OR 0.18, 95% CI 0.08 to 0.44, I²=0.0%, Q=0.03, tau²=0.00). Effects on suicidal ideation were not statistically significant at any time point (Hedges’ g –0.07 to –0.28, I²=0.0 to 69.3%, Q=1.16 to 7.38, tau²=0.00 to 0.14).

Synchronous remote-based interventions demonstrate a potential benefit in preventing suicide attempts and deaths by suicide and may serve as an adjunct to usual treatment; however, the effect on suicidal ideation appears limited. The observed heterogeneity warrants caution when interpreting these findings. Future research should prioritise methodological enhancements to improve the quality and consistency of evidence, as well as investigate the mediating processes underlying their effectiveness in reducing suicidal behaviour.

CRD42021275044.

To evaluate how insurance influences the risk of a dementia diagnosis among a large, diverse cohort of US civilian adults with traumatic brain injury (TBI) over a 22-year period.

This is a retrospective cohort study involving individuals diagnosed with TBI.

The study used the Merative MarketScan Research Database, specifically drawing from the Commercial Claims and Encounters, Medicare Supplemental and Medicaid databases, from 2000 to 2022 in the USA. These databases provide comprehensive insights into healthcare services received by enrollees, including inpatient and outpatient services, outpatient prescription claims, clinical utilisation records and healthcare expenditures.

267 473 adults aged 55 and older who were diagnosed with a TBI between 1 January 2000 and 31 December 2022. Individuals with unknown TBI severity and dementia claims 2 years preceding TBI were excluded. TBI and dementia diagnoses were identified using International Classification of Disease 9th and 10th editions codes from inpatient and outpatient admission records.

None.

We compared the incidence of all-cause dementia across different insurance types to assess potential disparities in diagnosis following TBI. Cox proportional hazards models, with age as the time scale, were used to study the association between insurance type and dementia diagnosis following a TBI. Models were adjusted for key demographic variables, medical comorbidities and psychiatric conditions to account for potential confounding.

Of the 267 473 individuals with TBI, 12.7% were diagnosed with dementia over a mean follow-up period of 40 months (SD of 42 months). Dementia incidence differed significantly by insurance type, with 18.2% for Medicaid recipients, 17.3% for Medicare beneficiaries and only 2.3% among individuals with commercial insurance. The adjusted HR for dementia was notably higher among individuals enrolled on Medicaid (HR 2.9, 95% CI: 2.8 to 3.1) and Medicare (HR 2.1, 95% CI: 2.0 to 2.2), when compared with those with commercial insurance.

Individuals with TBI covered by Medicaid and Medicare are significantly more likely to be diagnosed with dementia, with a 2.9-fold and 2.1-fold increase risk, respectively, compared with those with commercial insurance. Addressing insurance-related disparities in dementia diagnosis is crucial for building a more equitable healthcare system. It is essential that individuals with TBI cases, regardless of their insurance type, have access to comprehensive care and preventive interventions to achieve the best possible long-term outcomes.