Objective: The aims are to briefly review treatment outcomes for impaired practitioners, and to explore how preventive and early intervention, and the accessing of and retention within treatment systems for impaired medical practitioners, and particularly psychiatrists, could be improved to maximize the doctors' chances of full recovery and to minimize danger to self and others.
Methods: The literature on the treatment and care of medical practitioner impairment due to mental illness, and substance use, with special reference to impaired psychiatrists is briefly reviewed. The implications of deficiencies of usual clinical management of doctors impaired by mental illness and opportunities for improvement in services for them are explored, including the impact of the experience of being an impaired medical practitioner under psychiatric treatment. The roles of medical boards and advisory services are examined.
Results: Medical practitioner impairment due to mental illness has a severe impact on doctors' lives and the lives of their families due to both the effects of the disorder and the experience of communal, professional and self stigma and discrimination. Deficiencies in usual practice in the treatment and rehabilitation of such individuals are identified, and alternatives explored.
Conclusions: Prevention, early detection, intervention, and treatment programs that are more continuous more sensitive to the needs of impaired practitioners, that are more continuous, better structured, and rehabilitation and recovery focused, may be more likely to produce a positive outcome.
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http://dx.doi.org/10.1080/10398560802579526 | DOI Listing |
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Department of Developmental and Regenerative Neurobiology, Institute of Brain Science, Nagoya City University Graduate School of Medical Sciences, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, Aichi 467-8601, Japan.
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Department of Mathematics & Statistics, York University, Toronto, Canada.
Chronic kidney disease (CKD) affects over 13% of the population, totaling more than 800 million individuals worldwide. Timely identification and intervention are crucial to delay CKD progression and improve patient outcomes. This research focuses on developing a predictive model to classify diabetic patients showing signs of kidney function impairment based on their CKD development risk.
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