2011
DOI: 10.1007/s10488-011-0382-8
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Associations of Mental, and Medical Illnesses With Against Medical Advice discharges: The National Hospital Discharge Survey, 1988–2006

Abstract: This study examined the association of mental and medical illnesses with the odds for leaving against medical advice (AMA) in a national sample of adult patients who left general hospitals between 1988 and 2006. Leaving AMA was first examined as a function of year and mental illness. Multiple logistic regression analysis was then used to adjust for patient and hospital characteristics when associating mental and major medical diagnoses with AMA discharges. The results indicated that leaving AMA was most strong… Show more

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Cited by 34 publications
(21 citation statements)
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“…19,20 Importantly, substance use disorders appear to affect health care costs even after increased disease burden is accounted for. 21 …”
Section: Impact Of Substance Use On Health Care Use and Costsmentioning
confidence: 99%
“…19,20 Importantly, substance use disorders appear to affect health care costs even after increased disease burden is accounted for. 21 …”
Section: Impact Of Substance Use On Health Care Use and Costsmentioning
confidence: 99%
“…The variable having the strongest reported association with leaving AMA is having done so before [5,6,9,10]. Other variables associated with leaving AMA have been younger age, male sex, membership in a visible minority, lower socioeconomic status, absence of health insurance, substance abuse, psychiatric disorders, and urban residency [1-7,9-17]. …”
Section: Introductionmentioning
confidence: 99%
“…The major limitations of the existing studies on leaving AMA are that most were based on localized experiences with limited numbers and follow-up, [5,6,10,14,20] were limited to one type of admission diagnosis,[4,7,9,12,13,16,17,19],[20] or were not population based [1,3]. Many studies also did not adjust for confounding variables.…”
Section: Introductionmentioning
confidence: 99%
“…Socio-demographic variables consistently identified as predictors of DAMA include lower socioeconomic status, male sex, younger age, lack of insurance, substance abuse and race [11,12]. Some hospital factors contributing to DAMA include hospital size (defined by the number of beds), teaching and non-teaching environment of hospital, shorter hospital stay and the regional location of the hospital [2,13].…”
Section: Introductionmentioning
confidence: 99%