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      Health-economic outcomes in hospital patients with medical-psychiatric comorbidity: A systematic review and meta-analysis

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          Abstract

          Background

          Hospital inpatients often experience medical and psychiatric problems simultaneously. Although this implies a certain relationship between healthcare utilization and costs, this relationship has never been systematically reviewed.

          Objective

          The objective is to examine the extent to which medical-psychiatric comorbidities relate to health-economic outcomes in general and in different subgroups. If the relationship is significant, this would give additional reasons to facilitate the search for targeted and effective treatments for this complex population.

          Method

          A systematic review in Embase, Medline, Psycinfo, Cochrane, Web of Science and Google Scholar was performed up to August 2016 and included cross-references from included studies. Only peer-reviewed empirical studies examining the impact of inpatient medical-psychiatric comorbidities on three health-economic outcomes (length of stay (LOS), medical costs and rehospitalizations) were included. Study design was not an exclusion criterion, there were no restrictions on publication dates and patients included had to be over 18 years. The examined populations consisted of inpatients with medical-psychiatric comorbidities and controls. The controls were inpatients without a comorbid medical or psychiatric disorder. Non-English studies were excluded.

          Results

          From electronic literature databases, 3165 extracted articles were scrutinized on the basis of title and abstract. This resulted in a full-text review of 86 articles: 52 unique studies were included. The review showed that the presence of medical-psychiatric comorbidity was related to increased LOS, higher medical costs and more rehospitalizations. The meta-analysis revealed that patients with comorbid depression had an increased mean LOS of 4.38 days compared to patients without comorbidity (95% CI: 3.07 to 5.68, I2 = 31%).

          Conclusions

          Medical-psychiatric comorbidity is related to increased LOS, medical costs and rehospitalization; this is also shown for specific subgroups. This study had some limitations; namely, that the studies were very heterogenetic and, in some cases, of poor quality in terms of risk of bias. Nevertheless, the findings remain valid and justify the search for targeted and effective interventions for this complex population.

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          Most cited references59

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          Excess mortality of mental disorder.

          We describe the increased risk of premature death from natural and from unnatural causes for the common mental disorders. With a Medline search (1966-1995) we found 152 English language reports on the mortality of mental disorder which met our inclusion criteria. From these reports, covering 27 mental disorder categories and eight treatment categories, we calculated standardised mortality ratios (SMRs) and 95% confidence intervals (CIs) for all causes of death, all natural causes and all unnatural causes; and for most, SMRs for suicide, other violent causes and specific natural causes. Highest risks of premature death, from both natural and unnatural causes, are for substance abuse and eating disorders. Risk of death from unnatural causes is especially high for the functional disorders, particularly schizophrenia and major depression. Deaths from natural causes are markedly increased for organic mental disorders, mental retardation and epilepsy. All mental disorders have an increased risk of premature death.
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            Does delirium increase hospital stay?

            To determine the effects of prevalent and incident delirium on length of hospital stay. Prospective cohort study, comparing (1). length of stay after admission in cases of prevalent delirium versus controls without prevalent delirium with (2). length of stay after diagnosis in cases of incident delirium versus controls matched by day of diagnosis. The medical services of a primary, acute care hospital. Medical admissions of patients aged 65 and older from the emergency department with delirium diagnosed during the first week in hospital. Patients admitted to intensive care or oncology and those with a primary diagnosis of stroke were excluded. A sample of those without delirium was also enrolled. Delirium was diagnosed using the Confusion Assessment Method. Data on length of stay and diagnosis-related groups (DRGs) were abstracted from administrative data. Measures of covariates included the Informant Questionnaire on Cognitive Decline in the Elderly, the Delirium Index, the instrumental activities of daily living questionnaire from the Older American Resources and Services project, the Charlson Comorbidity Index, the Clinical Severity Scale, and the Acute Physiology Score. The study sample comprised 359 patients: 204 with prevalent delirium, 37 with incident delirium, and 118 without delirium. After controlling for covariates, prevalent delirium was not associated with a significantly longer hospital stay, but incident delirium was associated with an excess stay after diagnosis of 7.78 days (95% confidence interval=3.07, 12.48). Similar results were obtained using log-transformed or DRG-adjusted estimates of length of stay. In older medical inpatients, incident but not prevalent delirium is an important predictor of longer hospital stay. Interventions to prevent incident delirium may reduce length of stay.
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              Relationship of depression to increased risk of mortality and rehospitalization in patients with congestive heart failure.

              Patients with congestive heart failure (CHF) may have a high prevalence of depression, which may increase the risk of adverse outcomes. To determine the prevalence and relationship of depression to outcomes of patients hospitalized with CHF. We screened patients aged 18 years or older having New York Heart Association class II or greater CHF, an ejection fraction of 35% or less, or both, admitted between March 1, 1997, and June 30, 1998, to the cardiology service of one hospital. Patients with a Beck Depression Inventory score of 10 or higher underwent a modified National Institute of Mental Health Diagnostic Interview Schedule to identify major depressive disorder. Primary care providers coordinated standard treatment for CHF and other medical and psychiatric disorders. We assessed all-cause mortality and readmission (rehospitalization) rates 3 months and 1 year after depression assessment. Logistic regression analyses were used to evaluate the independent prognostic value of depression after adjustment for clinical risk factors. Of 374 patients screened, 35.3% had a Beck Depression Inventory score of 10 or higher and 13.9% had major depressive disorder. Overall mortality was 7.9% at 3 months and 16.2% at 1 year. Major depression was associated with increased mortality at 3 months (odds ratio, 2.5 vs no depression; P =.08) and at 1 year (odds ratio, 2.23; P =.04) and readmission at 3 months (odds ratio, 1.90; P =.04) and at 1 year (odds ratio, 3.07; P =.005). These increased risks were independent of age, New York Heart Association class, baseline ejection fraction, and ischemic etiology of CHF. Major depression is common in patients hospitalized with CHF and is independently associated with a poor prognosis.
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – original draft
                Role: ConceptualizationRole: ValidationRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: Writing – review & editing
                Role: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                13 March 2018
                2018
                : 13
                : 3
                : e0194029
                Affiliations
                [1 ] Erasmus MC, University Medical Center Rotterdam, Department of Psychiatry, Rotterdam, the Netherlands
                [2 ] Zilveren Kruis Achmea, Department of Health Procurement, Leusden, the Netherlands
                [3 ] Rijnstate Hospital, Department of Psychiatry, Arnhem, the Netherlands
                Weill Cornell Medicine-Qatar, QATAR
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-2270-8742
                Article
                PONE-D-17-07079
                10.1371/journal.pone.0194029
                5849295
                29534097
                5fcae6c9-a6ac-4444-b56a-e5ae73b920cd
                © 2018 Jansen et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 21 February 2017
                : 23 February 2018
                Page count
                Figures: 4, Tables: 3, Pages: 19
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Mood Disorders
                Depression
                Medicine and Health Sciences
                Health Care
                Patients
                Inpatients
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Social Sciences
                Economics
                Health Economics
                Medicine and Health Sciences
                Health Care
                Health Economics
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Meta-Analysis
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Statistical Methods
                Meta-Analysis
                Medicine and Health Sciences
                Health Care
                Health Care Facilities
                Hospitals
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Psychoses
                Medicine and Health Sciences
                Diagnostic Medicine
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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