Therapeutic communities (TCs) for substance abusers are oriented toward changing the entire person as a means for facilitating a drug-free future. This vision parallels ideas such as integrated care for the treatment of co-occurring substance abuse and psychiatric conditions. The extent to which integrated services are available in TCs has not been documented. Using data from a national sample of 345 TCs, this paper examines the availability of integrated care in TCs and the structural and cultural characteristics of TCs that offer integrated care. The results indicate that a substantial portion of TCs in this sample admit clients with co-occurring disorders (70.7%), and as many as half of the TCs offer integrated care. TCs that offer integrated care show increased use of professional staff, individual psychotherapy, and a less confrontational milieu, but notably, retain many of the "essential elements" of the traditional TC model.
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http://dx.doi.org/10.1007/s11414-011-9251-1 | DOI Listing |
Aging Clin Exp Res
January 2025
Research Laboratory Psychology of Patients, Families, and Health Professionals, Department of Nursing, School of Health Sciences, University of Ioannina, Ioannina, Greece.
Loneliness, social isolation, and living alone are significant risk factors for mortality, particularly in older adults. This systematic review and meta-analysis aimed to quantify their associations with all-cause and cause-specific mortality in older adults, broadening previous research by including more social factors. Comprehensive searches were conducted in PubMed, APA PsycINFO, and CINAHL until December 31, 2023, following PRISMA 2020 and MOOSE guidelines.
View Article and Find Full Text PDFEur J Health Econ
January 2025
Department of Business Administration and Health Care Management, Faculty of Management, Economics and Social Sciences, University of Cologne, Cologne, Germany.
Introduction: Cesarean deliveries account for approximately one-third of all births in Germany, prompting ongoing discussions on cesarean section rates and their connection to medical staffing and birth volume. In Germany, the majority of departments integrate obstetric and gynecological care within a single department.
Methods: The analysis utilized quality reports from German hospitals spanning 2015 to 2019.
Analyst
January 2025
Department of Chemistry, University of Victoria, Victoria, British Columbia, V8W 3V6, Canada.
Infrared absorption spectroscopy and surface-enhanced Raman spectroscopy were integrated into three data fusion strategies-hybrid (concatenated spectra), mid-level (extracted features from both datasets) and high-level (fusion of predictions from both models)-to enhance the predictive accuracy for xylazine detection in illicit opioid samples. Three chemometric approaches-random forest, support vector machine, and -nearest neighbor algorithms-were employed and optimized using a 5-fold cross-validation grid search for all fusion strategies. Validation results identified the random forest classifier as the optimal model for all fusion strategies, achieving high sensitivity (88% for hybrid, 92% for mid-level, and 96% for high-level) and specificity (88% for hybrid, mid-level, and high-level).
View Article and Find Full Text PDFInt J STD AIDS
January 2025
Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Background: Cisgender women living with HIV (WLWH) are disproportionately impacted by cervical cancer. Nevertheless, disparities in uptake and implementation of cervical cancer services persist in sub-Saharan Africa, where population-level estimates of screening coverage remain scarce.
Methods: We pooled data from nationally representative Population-based HIV Impact Assessment (PHIA) surveys conducted in Ethiopia, Malawi, Rwanda, Tanzania, Zambia, and Zimbabwe (2015-2019).
RSC Adv
January 2025
Department of Chemical and Materials Engineering, University of Alberta Edmonton AB T6G 1H9 Canada
Non-destructive color sensors are widely applied for rapid analysis of various biological and healthcare point-of-care applications. However, existing red, green, blue (RGB)-based color sensor systems, relying on the conversion to human-perceptible color spaces like hue, saturation, lightness (HSL), hue, saturation, value (HSV), as well as cyan, magenta, yellow, key (CMYK) and the CIE L*a*b* (CIELAB) exhibit limitations compared to spectroscopic methods. The integration of machine learning (ML) techniques presents an opportunity to enhance data analysis and interpretation, enabling insights discovery, prediction, process automation, and decision-making.
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