2019
DOI: 10.1111/jgs.15881
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Depressive Symptoms and Total Healthcare Costs: Roles of Functional Limitations and Multimorbidity

Abstract: OBJECTIVES Depressive symptoms can be both a cause and a consequence of functional limitations and medical conditions. Our objectives were to determine the association of depressive symptoms with subsequent total healthcare costs in older women after accounting for functional limitations and multimorbidity. DESIGN Prospective cohort study (Study of Osteoporotic Fractures [SOF]). SETTING Four US sites. PARTICIPANTS A total of 2508 community‐dwelling women (mean age = 79.4 years) participating in the SOF year 10… Show more

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Cited by 16 publications
(13 citation statements)
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“… 18 The Elixhauser comorbidity index is a widely used comorbidity classification system developed for use with administrative data and has been validated as a predictor of inpatient mortality and health care use outcomes. 19 , 20 , 21 Our model is represented by the following formula: ln( μ ij ) = β 0 + β 1 Cohort i + β 2 Prepost ij + β 3 Cohort i × Prepost ij + β 4 BirthYear i + β 5 Gender i + β 6 Elixhauser i + β 7 Gender i × Prepost ij + β 8 BirthYear i × Prepost ij + ln(time ij ), where the outcome μ specifies the number of encounters, the i subscript refers to each individual, and the j subscript specifies the period (ie, pre- or postannouncement). The offset for no-show and cancellation rates is ln(number of scheduled visits) instead of ln ( time).…”
Section: Methodsmentioning
confidence: 99%
“… 18 The Elixhauser comorbidity index is a widely used comorbidity classification system developed for use with administrative data and has been validated as a predictor of inpatient mortality and health care use outcomes. 19 , 20 , 21 Our model is represented by the following formula: ln( μ ij ) = β 0 + β 1 Cohort i + β 2 Prepost ij + β 3 Cohort i × Prepost ij + β 4 BirthYear i + β 5 Gender i + β 6 Elixhauser i + β 7 Gender i × Prepost ij + β 8 BirthYear i × Prepost ij + ln(time ij ), where the outcome μ specifies the number of encounters, the i subscript refers to each individual, and the j subscript specifies the period (ie, pre- or postannouncement). The offset for no-show and cancellation rates is ln(number of scheduled visits) instead of ln ( time).…”
Section: Methodsmentioning
confidence: 99%
“…Higher functional limitation and multimorbidity in those with mental health disorders has also been reported in the recent literature. For example, Schousboe et al [ 19 ] found that for a Geriatric Depression Score of 0–1 versus 6+, the proportion with 4+ medical conditions increased from 16% to 33% and the proportion with IADL impairments rose from 14% to 58%. Similarly, a meta-analysis of population data involving 190,593 people across 43 low and middle-income countries reported odds of multimorbidity of 2.62 versus 3.44 for those with no depression versus those with depressive episodes [ 56 ].…”
Section: Discussionmentioning
confidence: 99%
“…Two recent Canadian studies provide supportive evidence of the negative effects of mental and physical co-morbidity: Guerra et al [ 16 ] reported higher odds of IADL disability for multimorbidity clusters that included mental health conditions compared to those without in a study of older adults from Quebec (Canada), and Dai et al’s study of a nationally-representative population [ 37 ] found that in people with the same number of chronic conditions those with mental disorders or physical and mental comorbidity showed higher prevalence of functional limitations (impaired HRQoL, higher service use). Studies from other countries show similar effects for functional limitations [ 57 ] and related outcomes such as frailty [ 23 ], HRQoL [ 12 , 13 , 57 ], subjective well-being [ 33 ], and service use/cost [ 19 ].…”
Section: Discussionmentioning
confidence: 99%
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“…Besides physical issues, there are often psychological, social, and cognitive problems ( 2 ). Furthermore, multimorbid patients have a poorer quality of life and higher health care utilization than patients with one chronic disease ( 3 ).…”
Section: Introductionmentioning
confidence: 99%