SBIRT (Screening, Brief Intervention and Referral to Treatment) What is SBIRT? SBIRT is an evidence-based approach to identifying patients who use alcohol and other drugs at risky levels with the goal of reducing and preventing related health consequences, disease, accidents and injuries. Risky substance use is a health issue and often goes undetected. SBIRT is a comprehensive, integrated, public health approach that provides opportunities for early intervention before more severe consequences occur. An Introduction to SBIRT - This video was developed to introduce healthcare professionals to the importance of screening, brief intervention and referral to treatment (SBIRT). Why is SBIRT Important? SBIRT is effective. How does SBIRT work? SBIRT incorporates screening for all types of substance use with brief, tailored feedback and advice. What are the benefits of SBIRT? Prevent disease, accidents and injuries related to substance use, resulting in better patient outcomes. New York State Approved SBIRT Training NYS SBIRT Promotional Brochures Mentor Resources
Charles Silverstein Dr. Charles Silverstein, Ph.D. (born 1935[1]) is an American writer, therapist and gay activist. He is a frequent lecturer at conventions on both the state and national levels, author of eight books and many professional papers, and has received many awards from the American Psychological Association[citation needed] and the American Psychological Foundation.[citation needed] Dr. His essays and professional papers have been published widely in journals and anthologies . Works[edit] The Joy of Gay Sex, co-authored with Edmund White (1977)A Family Matter: A Parents' Guide to Homosexuality (1977)Man to Man: Gay Couples in America (1981)Gays, Lesbians and Their Therapists: Studies in Psychotherapy (1991)The New Joy of Gay Sex, co-authored with Felice Picano (1993)The Initial Psychotherapy Interview: A Gay Man Seeks Treatment (2011)For the Ferryman: A Personal History (2011) Book Chapters[edit] Silverstein, C. (2011). Silverstein, C. (1997). Silverstein, C. (1996). Silverstein, C. (1996).
Diagnostic odds ratio From Wikipedia, the free encyclopedia log(Diagnostic Odds Ratio) for varying sensitivity and specificity In medical testing with binary classification, the diagnostic odds ratio (DOR) is a measure of the effectiveness of a diagnostic test.[1] It is defined as the ratio of the odds of the test being positive if the subject has a disease relative to the odds of the test being positive if the subject does not have the disease. The rationale for the diagnostic odds ratio is that it is a single indicator of test performance (like accuracy and Youden's J statistic) but which is independent of prevalence (unlike accuracy) and is presented as an odds ratio, which is familiar to medical practitioners. Definition[edit] The diagnostic odds ratio is defined mathematically as: where and are the number of true positives, false negatives, false positives and true negatives respectively.[1] Confidence interval[edit] Interpretation[edit] Relation to other measures of diagnostic test accuracy[edit] Uses[edit] .
Electronic Tools for Use in the Continuum of Care for Patients With Addiction | IRETA About The NIDA Notes Course This is a self-paced online course about the use of technology throughout the continuum of care for patients with addiction. The five sections will introduce you to five different electronic tools that can be used in prevention, treatment, and aftercare. Through this training, discover new ways to screen for drug and alcohol use, learn how technology can support cognitive behavioral therapy, and become familiar with other relevant substance use research. This course is jointly presented by NIDA and IRETA. Who can take this course? Anyone! Can I get Continuing Education Credits? Yes! Questions about the course? Contact our Help Desk at Access The Course To access the couse, you will need to be logged into myIRETA. Not a member? Join here: ireta.org/myireta. Once you have created an account, click on this link to access the course: my.ireta.org/onlineEd/course/view.php? To proceed, click on the Enrollment button
Mental Health Diagnoses Decided by Vote, Not Discovery Post edited and updated January 2, 2013, to reflect clarifications as a result of interactions with the many people who have left comments. I thank them for their input. According to the American Psychiatric Association, until 1974 homosexuality was a mental illness. Freud had alluded to homosexuality numerous times in his writings, and had concluded that paranoia and homosexuality were inseparable. Other psychiatrists wrote copiously on the subject, and homosexuality was “treated” on a wide basis. Then in 1970 gay activists protested against the APA convention in San Francisco. What’s noteworthy about this is that the removal of homosexuality from the list of mental illnesses was not triggered by some scientific breakthrough. The APA claimed that they made the change because new research showed that most homosexual people were content with their sexual orientation, and that as a group, they appeared to be as well-adjusted as heterosexual people.
Design effect In survey methodology, the design effect (generally denoted as or ) is a measure of the expected impact of a sampling design on the variance of an estimator for some parameter. It is calculated as the ratio of the variance of an estimator based on a sample from an (often) complex sampling design, to the variance of an alternative estimator based on a simple random sample (SRS) of the same number of elements.[1]: 258 The Deff (be it estimated, or known a-priori) can be used to adjust the variance of an estimator in cases where the sample is not drawn using simple random sampling. It may also be useful in sample size calculations and for quantifying the representativeness of a sample. The term "design effect" was coined by Leslie Kish in 1965. The design effect is a positive real number that indicates an inflation ( ), or deflation ( ) in the variance of an estimator for some parameter, that is due to the study not using SRS (with , when the variances are identical).[2]: 53, 54 Deff[edit] ). .
OASAS Online Training Portal Welcome to the NYS OASAS Online Training and Test Portal. Upon completion of any Addiction Medicine Educational Series Course or Learning Thursdays Webcast, you may access the NYS OASAS Test Portal to take an exam and obtain an NYS OASAS Standardized Certificate of Completion. Using this web-based training process, you can study/review course materials, complete corresponding test(s), submit your answers, and receive documentation of your results immediately. NYS OASAS Online Course Categories currently available: Addiction Medicine Educational Series: The Addiction Medicine Educational Series provides a resource for obtaining valuable information and knowledge about substance use disorders. Learning Thursdays: View archived Learning Thursdays presentations on a variety of topics delivered by subject matter experts within the agency and the NYS OASAS provider network.
Live From Hell's Kitchen Homosexual Dachau? This name doesn't have anything to do with World War II. More than any other mental institution in the United States, Atascadero State Hospital (photograph) was a chamber of horrors for homosexuals. The tag "Homosexual Dachau" was well-earned for its forced lobotomies, castrations and brutal treatments practiced at that facility. Hundreds of gays and lesbians were forcibly sent by their families to be cured of homosexuality which, as recently as the early 1970s, was considered a sexual and psychological disorder. The 1950's were an especially dark time for homosexuals. Even up until 1971, simply being a homosexual could result in a life sentence. At Atascadero State Hospital, doctors (I use that term loosely) were permitted under an obscure California law to commit those who practiced sodomy into the hospital. A caller into an NPR Radio talk show about lobotomies recalled a cousin who was a homosexual. "PAT (Caller): Yes, I'm Pat from Naples, Florida.
Decision curve analysis From Wikipedia, the free encyclopedia Type of probability threshold analysis Decision curve analysis evaluates a predictor for an event as a probability threshold is varied, typically by showing a graphical plot of net benefit against threshold probability. By convention, the default strategies of assuming that all or no observations are positive are also plotted. Decision curve analysis is distinguished from other statistical methods like receiver operating characteristic (ROC) curves by the ability to assess the clinical value of a predictor. Threshold probability is defined as the minimum probability of an event at which a decision-maker would take a given action, for instance, the probability of cancer at which a doctor would order a biopsy. Theory[edit] The threshold probability compares the relative harm of unnecessary treatment (false positives) to the benefit of indicated treatment (true positives). Interpretation[edit] Example decision curve analysis graph with two predictors.
Homosexuality and Mental Health Hooker administered three projective tests (the Rorschach, Thematic Apperception Test [TAT], and Make-A-Picture-Story [MAPS] Test) to 30 homosexual males and 30 heterosexual males recruited through community organizations. The two groups were matched for age, IQ, and education. None of the men were in therapy at the time of the study. Unaware of each subject's sexual orientation, two independent Rorschach experts evaluated the men's overall adjustment using a 5-point scale. A third expert used the TAT and MAPS protocols to evaluate the psychological adjustment of the men. Hooker concluded from her data that homosexuality is not a clinical entity and that homosexuality is not inherently associated with psychopathology. Hooker's findings have since been replicated by many other investigators using a variety of research methods. Some studies found differences between homosexual and heterosexual respondents, and then assumed that those differences indicated pathology in the homosexuals.
Economic epidemiology The main context through which this field emerged was the idea of prevalence-dependence, or disinhibition, which suggests that individuals change their behavior as the prevalence of a disease changes. However, economic epidemiology also encompasses other ideas, including the role of externalities, global disease commons and how individuals’ incentives can influence the outcome and cost of health interventions. Strategic epidemiology is a branch of economic epidemiology that adopts an explicitly game theoretic approach to analyzing the interplay between individual behavior and population wide disease dynamics. Prevalence-dependence[edit] Limiting the spread of disease at the population level requires changing individual behavior, which in turn depends on what information individuals have about the level of risk. The converse is also true: if there is a lowered risk of disease, either through vaccination or because of lowered prevalence, individuals may increase their risk-taking behavior.
WHEN GAY MEANT MAD - Arts & Entertainment In 1964, aged 18, Price was admitted to the psychiatric ward of a hospital in Chester. The treatment he was to undergo was intended to "cure" him of his homosexuality. Within a day of his arrival, Price was confined to one room, pumped full of nausea-inducing drugs, kept in a bed smeared with his own vomit and faeces. Peter believed, until recently, that he was a solitary guinea-pig in this grim landscape of psychological tricks; that he was unique in receiving aversion therapy to correct homosexuality. Like Peter, Colin submitted to this treatment voluntarily. Colin Fox recalls his sense of intense isolation and fear as a teenager. Gerald William Clegg-Hill - Billy to his friends - did not volunteer. "But ours was not a liberal family. Tragically, Billy did not survive the treatment. AVERSION therapy, in the Fifties, was psychiatry's new toy. The Department of Health says that aversion therapy has not been banned because it may be effective in the treatment of alcohol misuse. !
Effect Model law The Effect Model law states that a natural relationship exists for each individual between the frequency (observation) or the probability (prediction) of a morbid event without any treatment and the frequency or probability of the same event with a treatment . This relationship applies to a single individual, individuals within a population, or groups. This law enables the prediction of the (absolute) benefit ( ) of a treatment for a given patient. ) is a constant” and “ is a constant”. Boissel formulated the hypothesis that the antiarrhythmic drugs efficacy was a function combining a beneficial effect ( ) that is proportional to and a constant adverse effect ( ), independent of . Illustration in the (Rc,Rt) plane[edit] In 1987, L'Abbe, Detsky and O'Rourke recommended including a graphical representation of the various trials while designing a meta-analysis. should be represented, and on the y-axis, the risk in the treated group [6] (Figure 1 and Figure 2). Figure 1. Figure 2. and By summing up