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INTRODUCTION: Embedding mental health providers directly into operational units provides opportunities for holistic individual and population focused mental health support. To effectively provide clinical mental health care to a large number of Sailors and Marines while supporting the larger command, it is crucial to arrive at an optimal number of mental health (MH) care staff. In response to an increasing demand for MH care by operational units distributed globally, the U.S. Navy (USN) critically analyzed the current MH staffing levels, estimated future demand for MH care providers, and evaluated several staffing options. The following article illustrates a case study of workforce planning for the USN's embedded MH delivery model. MATERIALS AND METHODS: Several existing data sources were used to calculate current number of MH care staff across all USN platforms and to estimate demand for MH care. An open source Linear Programming application was used to estimate staffing solutions that meet business requirements in the most efficient manner possible. RESULTS: Results suggested different conclusions for embedded mental health staffing across USN communities. Depending on existing staffing levels and the number of Sailors or Marines anticipated to require care, the Linear Programming algorithm estimated needed staffing levels to address demand. CONCLUSION: The current project represents the first systematic workforce planning initiative designed to help staff the USN's global demand for community focused MH care. The results of this project have identified areas where additional embedded mental health resources should be made available. By systematically documenting all services and capabilities and carefully examining the operational demands of each community, the current solution was able to identify precisely what type of MH resources should be allocated to a given community.
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Serviços de Saúde Mental , Saúde Mental , Pessoal de Saúde , Humanos , Militares , Estados Unidos , Recursos HumanosRESUMO
PURPOSE: Geographic moves have been reported to have a negative impact on the mental health of children, but it is often difficult to separate the effect of the move from the circumstances that impelled it. Military populations may offer a way to examine this issue. Moves are common in military families, but parental employment and healthcare coverage remain constant. METHODS: Children of military parents with geographic moves in 2008 were compared with those without geographic moves with regard to the odds of mental health service use in 2009. RESULTS: This study included 548,336 children aged 6-17 years, and 179,486 (25%) children moved in 2008. Children aged 6-11 years with a geographic move had higher odds of mental health and outpatient visits (odds ratio [OR] 1.03; 95% confidence interval [CI] 1.01-1.06). Children aged 12-17 years with a geographic move had higher odds of mental outpatient visits (OR 1.04; 95% CI 1.01-1.07), psychiatric hospitalizations (OR 1.19; 95% CI 1.07-1.32), and emergency psychiatric visits (OR 1.20; 95% CI 1.07-1.32). CONCLUSION: Children with a geographic move in the previous year have increased odds of mental health encounters. Among adolescents, this increase extends to psychiatric hospitalizations and emergency visits.