Not much is known about funding for and implementation of Person-centered, long-term services - referred to as "recovery services." SAMSHA funding archives from 2004-2020 were analyzed using Latent Class Analysis (LCA). All 50 states (plus DC and Guam) received about 482 recovery-based grants from 2004-2020 (total from 2004-2020 = $425 million vs. 63.3 ± 29.1 million in total SAMSHA funding per year on average). LCA showed 4 trends: peer focused (Pr(Class) = .09, 95%CI = 0.08, 0.10), treatment focused (Pr(Class) = 0.14, 95%CI = 0.12, 0.18), system focused (Pr(Class) = 0.57, 95% CI = 0.54, 0.59) and consumer focused (Pr(Class) = 0.19 (0.17, 0.21). Funding for recovery makes up a relatively low percentage of overall funding for substance prevention and treatment Implications are discussed.
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http://dx.doi.org/10.1177/00472379231217830 | DOI Listing |
Disabil Rehabil
December 2024
Discipline of Physiotherapy, Graduate School of Health, Faculty of Health, University of Technology Sydney, Ultimo, Australia.
Introduction: Electrical stimulation (E-stim) can reduce the impact of complications, like spasticity, bladder dysfunction in people with spinal cord injuries (SCIs), enhancing quality of life and health outcomes. With SCI prevalence high in regional Australia and a shift towards home-based community integrated care, the perspectives of people with SCI and healthcare professionals on current and future use of E-stim home-devices are needed.
Methods: A mixed-methods concurrent triangulation approach was used.
Orphanet J Rare Dis
December 2024
Department of Internal Medicine D, and Interdisciplinary Fabry Center (IFAZ), University Hospital Muenster, Muenster, Germany.
Background: The aim of our multicenter study was to investigate the implementation of the European Fabry guidelines on therapeutic recommendations in female patients with Fabry disease (FD) and to analyze the impact of enzyme replacement therapy (ERT) in treated and untreated females.
Results: Data from 3 consecutive visits of 159 female FD patients from 6 Fabry centers were retrospectively analyzed. According to their treatment, patients were separated in 3 groups (untreated, n = 71; newly ERT-treated, n = 47; long-term ERT-treated, n = 41).
BMC Prim Care
December 2024
Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Center, P.O. Box 2040, Rotterdam, 3015 CN, The Netherlands.
Background: HIV indicator condition-guided testing is recommended by guidelines to identify undiagnosed HIV infections. However, general practitioners (GPs) frequently see patients for indicator conditions without testing them for HIV. The aim of this study was to evaluate whether implementing HIV teams, using trained GP ambassadors, promoted local HIV indicator condition-guided testing practices in urban GP centers in the Netherlands.
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December 2024
Khost Mechanics Institute, Khost, Afghanistan.
Control charts are commonly used for process monitoring under the assumption that the variable of interest follows a normal distribution. However, this assumption is frequently violated in real-world applications. In this study, we develop an adaptive control chart based on the exponentially weighted moving average (EWMA) statistic to monitor irregular variations in the mean of the Truncated Transmuted Burr-II (TTB-II) distribution, employing Hastings approximation for normalization.
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December 2024
The Key Laboratory for Computer Systems of State Ethnic Affairs Commission, School of Computer and Artificial Intelligence, Southwest Minzu University, Chengdu, 610041, China.
Coronary artery disease represents a formidable health threat to middle-aged and elderly populations worldwide. This research introduces an advanced BP neural network algorithm, EPSOSA-BP, which integrates particle swarm optimization, simulated annealing, and a particle elimination mechanism to elevate the precision of heart disease prediction models. To address prior limitations in feature selection, the study employs single-hot encoding and Principal Component Analysis, thereby enhancing the model's feature learning capability.
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