Virtual Mental Health Care and Suicide-Related Events DOI Creative Commons
Kertu Tenso, Kiersten L. Strombotne, Melissa M. Garrido

и другие.

JAMA Network Open, Год журнала: 2024, Номер 7(11), С. e2443054 - e2443054

Опубликована: Ноя. 5, 2024

Importance The rising suicide rates in the US emphasize need for effective prevention. While telehealth has transformed access to mental health care, impact of on outcomes is unknown. Objective To evaluate association virtual services with individual-level suicide-related events (SREs). Design, Setting, and Participants This retrospective cohort study using broadband as an instrumental variable assessed a national sample Veterans Health Administration patients who received care between March 1, 2020, December 31, 2021. were recently separated (ie, discharged or released from active duty) veterans completed their duty service 2019, at least 2 outpatient inpatient diagnoses related major depressive disorder, substance use posttraumatic stress disorder within year before most recent separation date. Data analyzed May 1 October 2023. Exposure Percentage patient’s total visits that conducted virtually by psychiatrists, psychologists, social workers calendar month. Main Outcomes Measures Binary measure indicating whether patient had experienced SRE (defined nonfatal attempt, intentional self-harm, death) specific month evaluated probit model. Results included 66 387 data points 16 236 unique veterans. Among these entries, 44 766 male (67.4%), mean (SD) age across was 32.9 (8.9) years, representative veteran population. There 929 SREs (1.4%). Virtual comprised 44.6% (46.1%) all visits. In analyses accounting factors simultaneously associated risk, 1% increase probability 2.5% decrease SREs. Conclusions Relevance Findings this quasi-experimental design found relative statistically significant SREs, suggesting providing may reduce outcomes.

Язык: Английский

Gambling problems predict suicidality in recently transitioned military veterans DOI Creative Commons
Olivia Metcalf,

Greg Roebuck,

Ellie Lawrence‐Wood

и другие.

Australian and New Zealand Journal of Public Health, Год журнала: 2023, Номер 47(3), С. 100038 - 100038

Опубликована: Апрель 11, 2023

This study investigated associations between gambling problems and suicidality in Australian veterans.Data drawn from n = 3,511 Defence Force veterans who had recently transitioned to civilian life. Gambling were assessed using the Problem Severity Index (PGSI) suicidal ideation behaviour items adapted National Survey of Mental Health Wellbeing.At-risk problem associated with increased odds [at-risk gambling: ratio (OR), 1.93; 95% confidence interval (CI), 1.47‒2.53; OR, 2.75; CI 1.86‒4.06] suicide planning or attempts (at-risk 2.07; CI, 1.39‒3.06; OR 4.22, 2.61‒6.81). The association total scores on PGSI any was substantially reduced became non-significant when controlling for effects depressive symptoms, but not financial hardship social support.Gambling harms are important risk factors veterans, should be recognised veteran-specific prevention policies programs, along co-occurring mental health problems.A comprehensive public approach reducing harm feature efforts veteran military populations.

Язык: Английский

Процитировано

4

Supporting servicemembers and veterans during their transition to civilian life using certified sponsors: A three-arm randomized controlled trial. DOI
Joseph C. Geraci, Ariana Dichiara, Ashley L. Greene

и другие.

Psychological Services, Год журнала: 2023, Номер 20(Suppl 2), С. 248 - 259

Опубликована: Янв. 1, 2023

Transitioning servicemembers and veterans (TSMVs) face difficulties throughout their reintegration to civilian life, including challenges with employment, poor social connection, elevated risk for suicide. To meet the needs of this high-risk population, national initiatives have leveraged community-based interventions. Authors conducted a three-arm randomized controlled trial (

Язык: Английский

Процитировано

4

Meaning in life following service among post‐9/11 military veterans: A latent growth mixture model analysis DOI
Shaina A. Kumar, Shelby Borowski, Dawne Vogt

и другие.

Applied Psychology Health and Well-Being, Год журнала: 2023, Номер 16(2), С. 723 - 744

Опубликована: Дек. 10, 2023

Meaning in life refers to the "sense made of, and significance felt regarding, nature of one's being existence." Meaningful living promotes well-being, resilience, personal growth. Yet, much remains unknown about how meaning changes over time determinants meaning, particularly during major transitions. We identified distinct trajectories using latent growth mixture models examined prospective predictors class membership a military veteran cohort assessed at multiple points throughout first 3 years after leaving service. Three were identified: consistently high (89.5%; n = 7025), diminishing (6.1%; 479), strengthening (4.4%; 348). Veterans with greater posttraumatic stress symptoms, depression moral injury experienced increased odds less adaptive trajectory (i.e. and/or vs. meaning), whereas veterans who reported psychological community relationship satisfaction, intimate satisfaction lower trajectory. Several gender differences also observed. Results provide insight into subgroups that are more likely experience service thus may benefit from additional support reduce their risk for poor longer-term health well-being outcomes.

Язык: Английский

Процитировано

4

Predicting Suicides Among US Army Soldiers After Leaving Active Service DOI
Chris J. Kennedy, Jaclyn C. Kearns, Joseph C. Geraci

и другие.

JAMA Psychiatry, Год журнала: 2024, Номер unknown

Опубликована: Сен. 25, 2024

Importance The suicide rate of military servicemembers increases sharply after returning to civilian life. Identifying high-risk before they leave service could help target preventive interventions. Objective To develop a model based on administrative data for regular US Army soldiers that can predict suicides 1 120 months leaving active service. Design, Setting, and Participants In this prognostic study, consolidated database was created all who left from 2010 through 2019. Machine learning models were trained over the next in random 70% training sample. Validation implemented remaining 30%. Data analyzed March 2023 2024. Main outcome measures National Death Index. Predictors came records available sociodemographics, career characteristics, psychopathologic risk factors, indicators physical health, social networks supports, stressors. Results Of 800 579 cohort (84.9% male; median [IQR] age at discharge, 26 [23-33] years), 2084 had occurred as December 31, 2019 (51.6 per 100 000 person-years). A lasso assuming consistent slopes time discriminated well but shortest horizons more complex stacked generalization ensemble machine models. Test sample area under receiver operating characteristic curve ranged 0.87 (SE = 0.06) first month 0.72 0.003) months. 10% with highest predicted accounted between 30.7% 1.8) 46.6% 6.6) across horizons. Calibration most part better than super learner (both estimated 120-month horizons.) Net benefit model-informed prevention strategy positive compared intervene-with-all or intervene-with-none strategies range plausible intervention thresholds. Sociodemographics, factors important classes predictors. Conclusions relevance These results demonstrated variables meaningful accuracy subsequent decade. However, final determination cost-effectiveness would require information beyond scope report about content, costs, effects relevant relation monetary value placed preventing suicides.

Язык: Английский

Процитировано

1

Virtual Mental Health Care and Suicide-Related Events DOI Creative Commons
Kertu Tenso, Kiersten L. Strombotne, Melissa M. Garrido

и другие.

JAMA Network Open, Год журнала: 2024, Номер 7(11), С. e2443054 - e2443054

Опубликована: Ноя. 5, 2024

Importance The rising suicide rates in the US emphasize need for effective prevention. While telehealth has transformed access to mental health care, impact of on outcomes is unknown. Objective To evaluate association virtual services with individual-level suicide-related events (SREs). Design, Setting, and Participants This retrospective cohort study using broadband as an instrumental variable assessed a national sample Veterans Health Administration patients who received care between March 1, 2020, December 31, 2021. were recently separated (ie, discharged or released from active duty) veterans completed their duty service 2019, at least 2 outpatient inpatient diagnoses related major depressive disorder, substance use posttraumatic stress disorder within year before most recent separation date. Data analyzed May 1 October 2023. Exposure Percentage patient’s total visits that conducted virtually by psychiatrists, psychologists, social workers calendar month. Main Outcomes Measures Binary measure indicating whether patient had experienced SRE (defined nonfatal attempt, intentional self-harm, death) specific month evaluated probit model. Results included 66 387 data points 16 236 unique veterans. Among these entries, 44 766 male (67.4%), mean (SD) age across was 32.9 (8.9) years, representative veteran population. There 929 SREs (1.4%). Virtual comprised 44.6% (46.1%) all visits. In analyses accounting factors simultaneously associated risk, 1% increase probability 2.5% decrease SREs. Conclusions Relevance Findings this quasi-experimental design found relative statistically significant SREs, suggesting providing may reduce outcomes.

Язык: Английский

Процитировано

1