The high cost of health care for people with behavioral health (BH) conditions or intellectual and developmental disabilities (IDD) in the United States led one state to implement the Provider-led Arkansas Shared Savings Entity (PASSE) program. PASSE is a managed care model that puts provider-led organizations at risk for the highest need people with BH conditions or IDD in Medicaid, a public health insurance program for low-income residents. Drawing on key informant interviews and payment models across the United States, we describe the PASSE program, how it compares with state Medicaid programs for similar populations, and prospects for the program. Key informants cited several PASSE features as promising mechanisms to improve beneficiary outcomes: expanded care coordination, service flexibility, incentives for community investments, accountability for cost and quality across physical health, behavioral health, and long-term care, quality target accountability, fostered competition, and provider ownership. Informants worry that PASSE features will be insufficient to catalyze changes in provider behavior. Efforts may be targeted to control costs primarily through service reductions with uncertain effects on quality of care. PASSE hinges on improved care coordination and increased efforts to address social determinants of health. Success or failure in these areas will likely determine whether PASSE leads to improved outcomes for two of the most costly and vulnerable populations.
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http://dx.doi.org/10.1016/j.hpopen.2020.100023 | DOI Listing |
Microb Pathog
February 2025
Embrapa Dairy Cattle, Av. Eugênio do Nascimento, 610 - Aeroporto, Juiz de Fora, Minas Gerais, 36038330, Brazil. Electronic address:
As a natural alternative to conventional antimicrobials, bacteriophages are emerging as highly effective biocontrol agents against Staphylococcus aureus and other pathogenic bacteria. Due to the wide diversity of S. aureus types and the emergence of antibiotic-resistant strains, the search for highly lytic and prevalent bacteriophages against S.
View Article and Find Full Text PDFTranscult Psychiatry
December 2024
Institute of Public Health and Social Sciences, Khyber Medical University, Peshawar, Pakistan.
We investigated the effectiveness of interventions provided by traditional healers for common mental disorders (CMDs) together with associated barriers and facilitators. Electronic databases including MEDLINE, APA Psych Info, Allied and Complementary Medicine, Embase, CINAHL, Social Science Citation Index, and Scopus were searched from inception until October 2021. Randomised controlled trials (RCTs) assessing interventions by traditional healers for CMDs and qualitative and mixed-methods studies examining traditional healers and their attendees' views about the treatment of CMDs by traditional healers were included.
View Article and Find Full Text PDFAging Ment Health
December 2024
Centre de recherche de l'Institut universitaire de gériatrie de Montréal (CRIUGM), Québec, Canada.
Objectives: To examine how change in benzodiazepine (BZD) use is linked to changes in depressive symptoms intensity, worry intensity, and sleep quality over 16 months.
Method: Data come from a larger randomised controlled trial (RCT) named the 'Programme d'Aide du Succès au SEvrage (PASSE-60+)' study (NCT02281175). Seventy-three participants age 60 years and older took part in a 4-month discontinuation programme and were assessed four times over 16 months.
Biol Aujourdhui
November 2023
Univ. Rennes, EHESP, Inserm, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, 9 avenue Léon Bernard, 35000 Rennes, France.
Nowadays, a growing body of evidence suggests that the developmental programs of each individual could be modified. The acquired new phenotypic changes could be persistent throughout the individual's life and even transmitted to the next generation. While the exact mechanism for that preservation is not well understood yet, there are many evidences showing that epigenetic alterations, which are robust and dynamic in response to the influence of the environmental factors, could be responsible for that inheritance.
View Article and Find Full Text PDFSci Rep
April 2023
Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
To evaluate the generalizability of artificial intelligence (AI) algorithms that use deep learning methods to identify middle ear disease from otoscopic images, between internal to external performance. 1842 otoscopic images were collected from three independent sources: (a) Van, Turkey, (b) Santiago, Chile, and (c) Ohio, USA. Diagnostic categories consisted of (i) normal or (ii) abnormal.
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