2014
DOI: 10.1176/appi.ps.201300323
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Potentially Preventable Medical Hospitalizations Among Maryland Residents With Mental Illness, 2005–2010

Abstract: Mental illness was associated with increased odds of ACS hospitalization across the life span. Future research should examine the potential for integrated medical and behavioral health care models to address the poorly controlled somatic conditions that lead to ACS hospitalizations among persons with mental illness.

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Cited by 11 publications
(9 citation statements)
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“…Increased ACS-specific utilization among populations of consumers with mental illness has been shown in prior research. Authors of a study of Maryland Medicaid data found that mental illness was associated with 32% higher odds of experiencing an ACS-specific hospital admission among adults aged 18-64, as well as among children and older adults (McGinty & Sridhara, 2014). These findings confirmed the findings from two previous studies in the SMI population regarding the prevalence of ACS-specific conditions in mental illness (Cahoon, McGinty, Ford, & Daumit, 2013;Li, Glance, Cai, & Mukamel, 2008).…”
Section: Data For Hospital Admissions and Readmissions In 2012 From Tsupporting
confidence: 71%
See 1 more Smart Citation
“…Increased ACS-specific utilization among populations of consumers with mental illness has been shown in prior research. Authors of a study of Maryland Medicaid data found that mental illness was associated with 32% higher odds of experiencing an ACS-specific hospital admission among adults aged 18-64, as well as among children and older adults (McGinty & Sridhara, 2014). These findings confirmed the findings from two previous studies in the SMI population regarding the prevalence of ACS-specific conditions in mental illness (Cahoon, McGinty, Ford, & Daumit, 2013;Li, Glance, Cai, & Mukamel, 2008).…”
Section: Data For Hospital Admissions and Readmissions In 2012 From Tsupporting
confidence: 71%
“…I found very little ACS-specific utilization, with just two inpatient admissions and two ED visits in the sample during the one year study timeframe. Although the same ICD-9-CM codes were used to identify ACS-specific utilization as in prior research, authors of the prior studies used administrative claims data with primary and secondary diagnoses codes as the basis for analysis (Cahoon et al, 2013;Li et al, 2008;McGinty & Sridhara, 2014). I relied on ICD-9-CM codes on authorization data provided to the CMHC from two health plans, and there was only one code (the primary diagnosis code) per authorization.…”
Section: Data For Hospital Admissions and Readmissions In 2012 From Tmentioning
confidence: 99%
“…Medical comorbidity and premature mortality in MH care is a global problem (Liu et al ., 2017). An association between MH conditions and preventable hospital admissions has been demonstrated in diverse health care settings in the USA (Yoon et al ., 2012; McGinty and Sridhara, 2014; Medford-Davis et al ., 2018; Schmidt et al ., 2018; Stockbridge et al ., 2019), Denmark (Davydow et al ., 2015, 2016), Taiwan (Lin et al ., 2011) and Scotland (Payne et al ., 2013). However, our specific findings may not generalise to the health systems of other countries.…”
Section: Discussionmentioning
confidence: 99%
“…These unaccounted patient risk factors are known to be associated with health outcomes and are largely outside of physicians' control. [9][10][11][12][13][14][15][16] In the presence of inadequate risk adjustment, the ACSC hospitalization measures could lead to inappropriate penalties for outpatient providers, such as safety-net clinics, that serve a high proportion of individuals with social, cognitive, and functional needs. 17,18 Penalties to such providers, often operating on already-thin margins, could be harmful.…”
Section: Introductionmentioning
confidence: 99%