Psychiatric comorbidity in cardiovascular inpatients: costs, net gain, and length of hospitalization

An Observational Study of Proactive and On-Request Psychiatry Consultation Services: Evidence for Differing Roles and Outcomes

BACKGROUND

Proactive psychiatric consultation services rapidly identify and assess medical inpatients in need of psychiatric care. In addition to more rapid contact, proactive services may reduce the length of stay and improve staff satisfaction. However, in some settings, it is impractical to integrate a proactive consultation service into every hospital unit; on-request and proactive services are likely to coexist in the future. Prior research has focused on changes in outcomes with the implementation of proactive services.

OBJECTIVE AND METHODS

This report describes differences between contemporary proactive and on-request services within the same academic medical center, comparing demographic and clinical data collected retrospectively from a 4-year period from the electronic medical record.

RESULTS

The proactive service saw patients over four times as many initial admissions (7592 vs. 1762), but transitions and handoffs between services were common, with 434 admissions involving both services, comprising nearly 20% of the on-request service's total contacts. The proactive service admissions had a shorter length of stay and a faster time to first psychiatric contact, and the patients seen were more likely to be female, of Black race, and to be publicly insured. There were over three times as many admissions to psychiatry from the proactive service. The on-request service's admissions had a longer length of stay, were much more likely to involve intensive care unit services, surgical services, and transfers among units, and the patients seen were more likely to die in the hospital or to be discharged to subacute rehabilitation.

CONCLUSIONS

Overall, the results suggest that the two services fulfill complementary roles, with the proactive service's rapid screening and contact providing care to a high volume of patients who might otherwise be unidentified and underserved. Simultaneously, the on-request service's ability to manage patients in response to consult requests over a much larger area of the hospital provided important support and continuity for patients with complex health needs. Institutions revising their consultation services will likely need to consider the best balance of these differing functions to address perceived demand for services.

Prevention of psychosocial distress consequences in somatic hospital inpatients via a stepped and collaborative care model: protocol of SomPsyNet, a stepped wedge cluster randomised trial

INTRODUCTION

Approximately 30% of somatic hospital inpatients experience psychosocial distress, contributing to increased (re-)hospitalisation rates, treatment resistance, morbidity, and direct and indirect costs. However, such distress often remains unrecognised and unaddressed. We established 'SomPsyNet', a 'stepped and collaborative care model' (SCCM) for somatic hospital inpatients, aiming at alleviating this issue through early identification of distress and provision of appropriate care, providing problem-focused pathways and strengthening collaborative care. We report the protocol of the 'SomPsyNet' study, aiming to evaluate implementation and impact of the SCCM on distressed patients' health-related quality of life. Secondary objectives include assessing efficacy of the screening procedures, influence of SCCM on other health outcomes and associated costs.

METHODS AND ANALYSIS

Our stepped wedge cluster randomised trial conducted at three tertiary hospitals comprises three conditions: treatment as usual (TAU) without screening for distress (phase 0), TAU with screening but without consequences (phase I, main comparator) and TAU with screening and psychosomatic-psychiatric consultations for those distressed (phase II). The time-of-transition between phases I and II was randomised. Sample size target is N=2200-2500 participants, with 6 month follow-up for distressed (anticipated n=640-700) and a subsample of non-distressed (anticipated n=200) patients. Primary outcome is mental health-related quality of life (SF-36 'Mental Health Component Summary score'); secondary outcomes include psychosocial distress, anxiety, depressive and somatic symptoms, symptom burden and distress, resilience, social support and qualitative of life, assessed by internationally accepted instruments, with good psychometric properties. Further, health claims data will be used to assess SCCM's impact on direct and indirect costs.

ETHICS AND DISSEMINATION

SomPsyNet adheres to the Helsinki Declaration and is approved by the 'Ethikkommission Nordwest- und Zentralschweiz' (2019-01724). Findings will be published in peer-reviewed journals and communicated to participants, healthcare professionals and the public.

TRIAL REGISTRATION NUMBER

Swiss National Clinical Trials Portal; ClinicalTrials.gov (NCT04269005, updated 19.09.2023).

Association of mental disorders with costs of somatic admissions in France

OBJECTIVES

Mentally ill patients have worse health outcomes when they suffer from somatic conditions compared to other patients. The objective of this study was to assess the association of mental illness with hospital inpatient costs for somatic reasons.

METHODS

All adult inpatient stays for somatic reasons in acute care hospitals between 2009 and 2013 were included using French exhaustive hospital discharge databases. Total inpatient costs were calculated from the all-payer perspective and compared in patients with and without a mental disorder. Only patients who had been admitted at least once for a mental disorder (either full-time or part-time) were considered to be mentally ill in this study. Generalized linear models with and without interaction terms studied the factors associated with hospital inpatient costs.

RESULTS

17,728,424 patients corresponding to 37,458,810 admissions were included. 1,163,972 patients (6.57%) were identified as having a mental illness. A previous full-time or part-time admission for a mental disorder significantly increased hospital inpatient costs (+32.64%, 95%CI=1.3243-1.3284). Interaction terms found an increased impact of mental disorders on costs in patients with low socio-economic status, as well as in men, patients aged between 45 and 60, and patients with a cardiovascular disease or diabetes.

CONCLUSION

Mentally ill patients have higher hospital costs than non-mentally ill patients. Improving curative and preventive treatments in those patients could improve their health and decrease the burden on healthcare systems.

Interaction of mental comorbidity and physical multimorbidity predicts length-of-stay in medical inpatients

BACKGROUND

Mental comorbidities of physically ill patients lead to higher morbidity, mortality, health-care utilization and costs.

OBJECTIVE

The aim of the study was to investigate the impact of mental comorbidity and physical multimorbidity on the length-of-stay in medical inpatients at a maximum-care university hospital.

DESIGN

The study follows a retrospective, quantitative cross-sectional analysis approach to investigate mental comorbidity and physical multimorbidity in internal medicine patients.

PATIENTS

The study comprised a total of n = 28.553 inpatients treated in 2017, 2018 and 2019 at a German Medical University Hospital.

MAIN MEASURES

Inpatients with a mental comorbidity showed a median length-of-stay of eight days that was two days longer compared to inpatients without a mental comorbidity. Neurotic and somatoform disorders (ICD-10 F4), behavioral syndromes (F5) and organic disorders (F0) were leading with respect to length-of-stay, followed by affective disorders (F3), schizophrenia and delusional disorders (F2), and substance use (F1), all above the sample mean length-of-stay. The impact of mental comorbidity on length-of-stay was greatest for middle-aged patients. Mental comorbidity and Elixhauser score as a measure for physical multimorbidity showed a significant interaction effect indicating that the impact of mental comorbidity on length-of-stay was greater in patients with higher Elixhauser scores.

CONCLUSIONS

The findings provide new insights in medical inpatients how mental comorbidity and physical multimorbidity interact with respect to length-of-stay. Mental comorbidity had a large effect on length-of-stay, especially in patients with high levels of physical multimorbidity. Thus, there is an urgent need for new service models to especially care for multimorbid inpatients with mental comorbidity.

Multimorbidity patterns and hospitalisation occurrence in adults and older adults aged 50 years or over

Multimorbidity is highly prevalent in older adults and can lead to hospitalisation. We investigate the prevalence, associated factors, and multimorbidity pattern associated to hospitalisation, readmission, and length of stay in the population aged 50 years and older. We analysed baseline data (2015–2016) from the ELSI-Brazil cohort, a representative sample of non-institutionalised Brazilians aged ≥ 50 years. In total, 8807 individuals aged ≥ 50 years were included. Poisson regression with robust variance adjusted for confounders was used to verify the associations with hospitalisation. Multiple linear regression was used to analyse the associations with readmission and length of stay. Network analysis was conducted using 19 morbidities and the outcome variables. In 8807 participants, the prevalence of hospitalisation was 10.0% (95% CI 9.1, 11), mean readmissions was 1.55 ± 1.191, and mean length of stay was 6.43 ± 10.46 days. Hospitalisation was positively associated with male gender, not living with a partner, not having ingested alcoholic beverages in the last month, and multimorbidity. For hospital readmission, only multimorbidity ≥ 3 chronic conditions showed a statistically significant association. Regarding the length of stay, the risk was positive for males and negative for living in rural areas. Five disease groups connected to hospitalisation, readmission and length of stay were identified. To conclude, sociodemographic variables, such as gender, age group, and living in urban areas, and multimorbidity increased the risk of hospitalisation, mean number of readmissions, and mean length of stay. Through network analysis, we identified the groups of diseases that increased the risk of hospitalisation, readmissions, and length of stay.

Prevalence and Determinants of Mental Health among COPD Patients in a Population-Based Sample in Spain

(1) Background: To assess the prevalence of mental disorders (depression and anxiety), psychological distress, and psychiatric medications consumption among persons suffering from COPD; to compare this prevalence with non-COPD controls and to identify which variables are associated with worse mental health. (2) Methods: This is an epidemiological case-control study. The data were obtained from the Spanish National Health Survey 2017. Subjects were classified as COPD if they reported suffering from COPD and the diagnosis of this condition had been confirmed by a physician. For each case, we selected a non-COPD control matched by sex, age, and province of residence. Conditional logistic regression was used for multivariable analysis. (3) Results: The prevalence of mental disorders (33.9% vs. 17.1%; p < 0.001), psychological distress (35.4% vs. 18.2%; p < 0.001), and psychiatric medications consumption (34.1% vs. 21.9%; p < 0.001) was higher among COPD cases compared with non-COPD controls. After controlling for possible confounding variables, such as comorbid conditions and lifestyles, using multivariable regression, the probability of reporting mental disorders (OR 1.41; 95% CI 1.10–1.82).), psychological distress (OR 1.48; 95% CI 1.12–1.91), and psychiatric medications consumption (OR 1.38 95% CI 1.11–1.71) remained associated with COPD. Among COPD cases, being a woman, poor self-perceived health, more use of health services, and active smoking increased the probability of suffering from mental disorders, psychological distress, and psychiatric medication use. Stroke and chronic pain were the comorbidities more strongly associated with these mental health variables. (4) Conclusions: COPD patients have worse mental health and higher psychological distress and consume more psychiatric medications than non-COPD matched controls. Variables associated with poorer mental health included being a woman, poor self-perceived health, use of health services, and active smoking.

Hospital costs associated with post-traumatic stress disorder in somatic patients: a retrospective study

BACKGROUND

Post-traumatic stress disorder is likely to affect clinical courses in the somatic hospital ward when appearing as comorbidity. Thus, this study aimed to assess the costs associated with comorbid post-traumatic stress disorder in a somatic hospital and to analyze if reimbursement appropriately compensated additional costs.

METHODS

The study used data from a German university hospital between 2011 and 2014, analyzing 198,819 inpatient episodes. Inpatient's episodes were included for analysis if they had a somatic primary diagnosis and a secondary diagnosis of post-traumatic stress disorder. Costs were calculated based on resource use and compared to reimbursement. Analyses were adjusted for sex, age and somatic comorbidities.

RESULTS

N = 219 Inpatient's episode were found with primary somatic disorder and a comorbid post-traumatic stress disorder. Inpatients episodes with comorbid post-traumatic stress disorder were compared to 34,229 control episodes, which were hospitalized with the same main diagnosis. Post-traumatic stress disorder was associated with additional hospital costs of €2311 [95%CI €1268 - €3355], while reimbursement rose by €1387 [€563 - €2212]. Results indicate that extra costs associated with post-traumatic stress disorder are not fully reimbursed. Male patients showed higher hospital costs associated with post-traumatic stress disorder. On average, post-traumatic stress disorder was associated with an extra length of stay of 3.4 days [2.1-4.6 days].

CONCLUSION

Costs associated with post-traumatic stress disorder were substantial and exceeded reimbursement, indicating an inadequate reimbursement for somatic patients with comorbid post-traumatic stress disorder.

Association of comorbid depression with inpatient outcomes in critical limb ischemia

There is a growing body of evidence that peripheral artery disease (PAD) may be impacted by depression. The objective of this study is to determine whether outcomes, primarily major amputation, differ between patients with depression and those without who presented to hospitals with critical limb ischemia (CLI), the end-stage of PAD. A retrospective cohort of patients hospitalized for CLI during 2012 and 2013 was identified from the National Inpatient Sample (NIS) using ICD-9 codes. The primary outcome was major amputation and secondary outcomes were length of stay and other complications. The sample included 116,008 patients hospitalized for CLI, of whom 10,512 (9.1%) had comorbid depression. Patients with depression were younger (64 ± 14 vs 67 ± 14 years, p < 0.001) and more likely to be female (55% vs 41%, p < 0.001), white (73% vs 66%, p < 0.001), and tobacco users (46% vs 41%, p < 0.001). They were also more likely to have prior amputations (9.8% vs 7.9%, p < 0.001). During the hospitalization, the rate of major amputation was higher in patients with comorbid depression (11.5% vs 9.1%, p < 0.001). In multivariable analysis, excluding patients who died prior to/without receiving an amputation ( n = 2621), comorbid depression was associated with a 39% increased odds of major amputation (adjusted OR 1.39, 95% CI 1.30, 1.49; p < 0.001). Across the entire sample, comorbid depression was also independently associated with a slightly longer length of stay (β = 0.199, 95% CI 0.155, 0.244; p < 0.001). These results provide further evidence that depression is a variable of interest in PAD and surgical quality databases should include mental health variables to enable further study.

Medical-Surgical Hospitalization Among Veterans With Psychiatric and Substance Use Disorders

BACKGROUND

Mental illness is associated with an increased risk for medical hospitalizations.

OBJECTIVE

This study investigates the degree to which nonpsychiatric factors account for these hospitalizations.

METHODS

Using National Veterans Health Administration (VHA) fiscal year 2012 data for 2 million veterans under the age of 60 years, hospitalization risks were compared for veterans with and without mental illnesses. Bivariate analyses identified factors associated with mental illnesses. Multiple logistic regression was used to calculate adjusted psychiatric risk for medical hospitalization, controlling for these factors.

RESULTS

Veterans carrying mental health diagnoses were at increased risk for hospitalizations (odds ratio [OR] = 2.52, 2.48-2.55). Among individual diagnoses, alcohol use disorder (AUD) (OR = 3.84, 3.78-3.91) and drug use disorders (OR = 4.58, 4.50-4.66) were associated with the highest risk. After adjusting for nonpsychiatric medical, addiction-related, and care utilization factors and the use of outpatient medical services, veterans with mental illnesses were at increased risk for medical hospitalization (OR = 1.43, 1.41-1.45). After further adjustment for AUD and drug use, hospitalization risk decreased further (OR = 1.23, 1.21-1.26) while the association of AUD and hospitalizations remained high (OR = 1.77, 1.73-1.81).

CONCLUSIONS

Medical comorbidities and service use accounted for most, but not all, of the increased risk of medical hospitalizations associated with mental illness. Even after accounting for poor health, AUD remained strongly associated with medical hospitalization.

Active listing and more consultations in primary care are associated with shorter mean hospitalisation and interacting with psychiatric disorders when adjusting for multimorbidity, age and sex

OBJECTIVE

Patient-provider relationships with primary care and need for hospitalisations are related within the complex networks comprising healthcare. Our objective was to analyse mean days hospitalised, using registration status (active or passive listing) with a provider and number of consultations as proxies of patient-provider relationships with primary care, adjusting for morbidity burden, age and sex while analysing the contribution of psychiatric disorders. The Johns Hopkins Adjusted Clinical Groups Case-Mix System was used to classify morbidity burden into Resource Utilization Band (RUB) 0-5.

DESIGN

Cross-sectional population study using zero-inflated negative binomial regression.

SETTING AND SUBJECTS

All population in the Swedish County of Blekinge (N = 151 731) in 2007.

MAIN OUTCOME MEASURE

Mean days hospitalised.

RESULTS

Actively listed were in mean hospitalised for 0.86 (95%CI 0.81-0.92) and passively listed for 1.23 (95%CI 1.09-1.37) days. For 0-1 consultation mean days hospitalised was 1.16 (95%CI 1.08-1.23) and for 4-5 consultations 0.68 (95%CI 0.62-0.75) days. At RUB3, actively listed were in mean hospitalised for 3.45 (95%CI 2.84-4.07) days if diagnosed with any psychiatric disorder and 1.64 (95%CI 1.50-1.77) days if not. Passively listed at RUB3 were in mean hospitalised for 5.17 (95%CI 4.36-5.98) days if diagnosed with any psychiatric disorder and 2.41 (95%CI 2.22-2.60) days if not.

CONCLUSIONS

Active listing and more consultations were associated with a decrease in mean days hospitalised, especially for patients with psychiatric diagnoses.

IMPLICATIONS

Promoting good relationships with primary care could be an opportunity to decrease mean days hospitalised, especially for patients with more complex diagnostic patterns. Key Points Primary care performance, patient-provider relationships and need for hospitalisation are related within the complex networks comprising healthcare systems. Good patient-provider relationships, i.e. more consultations and active listing, with primary care are associated with decreasing mean days hospitalised. The impact of patient-provider relationships in primary care on mean days hospitalised increased when psychiatric disorders added to patient complexity.

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

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.

Hospital costs associated with psychiatric comorbidities: a retrospective study

BACKGROUND

Psychiatric comorbidities are relevant for the diagnostic and therapeutic regimes in somatic hospital care. The main aim of this study was to analyse the association between psychiatric comorbidities and hospital costs per inpatient episode. A further aim was to discuss and address the methodological challenges in the estimation of these outcomes based on retrospective data.

METHODS

The study included 338,162 inpatient episodes consecutively discharged between 2011 and 2014 at a German university hospital. We used detailed resource use data to calculate day-specific hospital costs. We adjusted analyses for sex, age, somatic comorbidities and main diagnoses. We addressed potential time-related bias in retrospective diagnosis data with sensitivity analyses.

RESULTS

Psychiatric comorbidities were associated with an increase in hospital costs per episode of 40% and an increase of reimbursement per episode of 28%, representing marginal effects of 1344 € and 1004 €, respectively. After controlling for length of stay, sensitivity analyses provided a lower bound increase in daily costs and reimbursement of 207 € and 151 €, respectively.

CONCLUSION

If differences in hospital costs between patient groups are not adequately accounted for in DRG-systems, perverse incentives are created that can reduce the efficiency of care. Therefore, we suggest intensifying the inclusion of psychiatric comorbidities in the German DRG system. Future research should investigate the appropriate inclusion of psychiatric comorbidities in other health care systems' payment schemes.

A comparison of two psychiatric service approaches: findings from the Consultation vs. Liaison Psychiatry-Study

BACKGROUND

Psychiatric comorbidities are common in somatically ill patients. There is a lack of data that can provide clear insights into substantial comparative advantages of different Consultation/Liaison Psychiatry (CLP) services.

METHODS

The Consultation versus Liaison Psychiatry-Study collected and analyzed data of 890 primarily somatically ill hospital inpatients presenting with psychiatric symptoms in a prospective observational study design. One group was treated via a liaison-model (LM) with regular consultation hours, the other via an on-demand-model (ODM) with individually requested consultations.

RESULTS

Five hundred forty-five LM and 345 ODM patients were compared. Patients in the LM were, on average, older compared to the patients of the ODM. The vast majority (90.8%) of individuals for whom a psychiatric consultation was requested came from internal medicine. The most common diagnoses were affective disorders (39.3%), organic mental disorders (18.9%), alcohol-induced mental disorders (11.3%) and reactions to severe stress/adjustment disorders (10.4%). Organic mental disorders were significantly more common in patients seen in the LM (24.0% vs. 10.3%, p < 0.001) while affective disorders were more frequently diagnosed in the ODM (46.6% vs. 34.8%, p = 0.001). Patients seen in the ODM were, on average, more severely affected compared to patients seen in the LM and required more extensive treatment. 16.3% of ODM patients were regarded as potentially suicidal; among these, 3.5% were acutely suicidal and 12.8% latently suicidal. Any form of further treatment was required by 93.0% of ODM patients compared to 77.8% in the LM. Pharmacological treatment with benzodiazepines, usually used as short-term treatment, was more frequently prescribed to patients seen in the ODM while patients seen in the LM were more often started on selective serotonin reuptake inhibitors, indicative of long-term treatment.

CONCLUSIONS

Patients in need of less acute treatment were considerably less common in the ODM. The data indicate a possible risk of such patients to remain unrecognized. A quasi-liaison model is recommended to be the best suitable and cost-effective way of providing psychiatric care to somatically ill patients with psychiatric comorbidities.

Increased morbidity, mortality and length of in-hospital stay for patients with acute coronary syndrome with pre-morbid psychiatric diagnoses

BACKGROUND

Psychiatric and cardiac comorbidities form the top two budget categories for health systems in high-income countries with evidence that psychiatric pre-morbidities lead to worse outcomes in patients with acute coronary syndrome (ACS). There are no studies examining this relationship in a national multicentre population level study in the UK, and no studies examining their impact on length of in-hospital stay (LoS) in ACS. Recognizing at-risk populations and reducing LoS in ACS is an essential part of improving patient care and cost-effectiveness.

METHODS

We investigated the impact of psychiatric diagnoses on morbidity, all-cause mortality and LoS amongst 57,668 ACS patients between Jan-2004 and Dec-2014 using the Secure-Anonymized-Information-Linkage (SAIL) databank. Demographics, admissions, cardiac and psychiatric comorbidities were identified using coded data.

RESULTS

There were a total of 3857 out of 57,668 patients who had a pre-morbid psychiatric diagnosis. The mean LoS in patients without psychiatric comorbidities was 9.78days (95% CI: 9.66-9.91). This was higher (p<0.01) in the presence of any psychiatric diagnosis (14.72), dementia (20.87), schizophrenia (15.67), and mood disorders (13.41). Patients with psychiatric comorbidities had worse net adverse cardiac events (HR 1.18, 95% CI: 1.16-1.21) and mortality rates (HR 1.26, 95% CI: 1.23-1.30).

CONCLUSIONS

Our results demonstrate that psychiatric comorbidities have a significant and clinically important impact on morbidity, mortality and LoS in ACS patients in Wales, UK. Clinicians' awareness and active management of psychiatric conditions amongst ACS patients is needed to reduce poor outcomes and LoS and ultimately the risk for patients and financial burden for the health-service.

Chronology of Onset of Mental Disorders and Physical Diseases in Mental-Physical Comorbidity - A National Representative Survey of Adolescents

Background

The objective was to estimate temporal associations between mental disorders and physical diseases in adolescents with mental-physical comorbidities.

Methods

This article bases upon weighted data (N = 6483) from the National Comorbidity Survey Adolescent Supplement (participant age: 13–18 years), a nationally representative United States cohort. Onset of Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition lifetime mental disorders was assessed with the fully structured World Health Organization Composite International Diagnostic Interview, complemented by parent report. Onset of lifetime medical conditions and doctor-diagnosed diseases was assessed by self-report.

Results

The most substantial temporal associations with onset of mental disorders preceding onset of physical diseases included those between affective disorders and arthritis (hazard ratio (HR) = 3.36, 95%-confidence interval (CI) = 1.95 to 5.77) and diseases of the digestive system (HR = 3.39, CI = 2.30 to 5.00), between anxiety disorders and skin diseases (HR = 1.53, CI = 1.21 to 1.94), and between substance use disorders and seasonal allergies (HR = 0.33, CI = 0.17 to 0.63). The most substantial temporal associations with physical diseases preceding mental disorders included those between heart diseases and anxiety disorders (HR = 1.89, CI = 1.41 to 2.52), epilepsy and eating disorders (HR = 6.27, CI = 1.58 to 24.96), and heart diseases and any mental disorder (HR = 1.39, CI = 1.11 to 1.74).

Conclusions

Findings suggest that mental disorders are antecedent risk factors of certain physical diseases in early life, but also vice versa. Our results expand the relevance of mental disorders beyond mental to physical health care, and vice versa, supporting the concept of a more integrated mental-physical health care approach, and open new starting points for early disease prevention and better treatments, with relevance for various medical disciplines.

A Stepwise Psychotherapy Intervention for Reducing Risk in Coronary Artery Disease (SPIRR-CAD): Results of an Observer-Blinded, Multicenter, Randomized Trial in Depressed Patients With Coronary Artery Disease

BACKGROUND

Depression predicts adverse prognosis in patients with coronary artery disease (CAD), but previous treatment trials yielded mixed results. We tested the hypothesis that stepwise psychotherapy improves depressive symptoms more than simple information.

METHODS

In a multicenter trial, we randomized 570 CAD patients scoring higher than 7 on the Hospital Anxiety and Depression Scale-depression subscale to usual care plus either one information session (UC-IS) or stepwise psychotherapy (UC-PT). UC-PT patients received three individual psychotherapy sessions. Those still depressed were offered group psychotherapy (25 sessions). The primary outcome was changed in the Hospital Anxiety and Depression Scale-depression scores from baseline to 18 months. Preplanned subgroup analyses examined whether treatment responses differed by patients' sex and personality factors (Type D).

RESULTS

The mean (standard deviation) depression scores declined from 10.4 (2.5) to 8.7 (4.1) at 18 months in UC-PT and from 10.4 (2.5) to 8.9 (3.9) in UC-IS (both p < .001). There was no significant group difference in change of depressive symptoms (group-by-time effect, p = .90). Preplanned subgroup analyses revealed no differences in treatment effects between men versus women (ptreatment-by-sex interaction = .799) but a significant treatment-by-Type D interaction on change in depressive symptoms (p = .026) with a trend for stronger improvement with UC-PT than UC-IS in Type D patients (n = 341, p = .057) and no such difference in improvement in patients without Type D (n = 227, p = .54).

CONCLUSIONS

Stepwise psychotherapy failed to improve depressive symptoms in CAD patients more than UC-IS. The intervention might be beneficial for depressed CAD patients with Type D personality. However, this finding requires further study.

TRIAL REGISTRATION

www.clinicaltrials.gov NCT00705965; www.isrctn.com ISRCTN76240576.

Association between mental disorders and physical diseases in adolescents from a nationally representative cohort

OBJECTIVE

Pediatric health care and research focus mostly on single morbidities, although the single-disease framework has been challenged. The main objective was to estimate associations between childhood mental disorders and physical diseases.

METHODS

This study is based on weighted data (n = 6482) from the National Comorbidity Survey Replication Adolescent Supplement (age, 13-18 years). Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition lifetime mental disorders were assessed using the fully structured World Health Organization Composite International Diagnostic Interview, complemented by parent report. Lifetime medical conditions and doctor-diagnosed diseases were assessed by adolescent self-report.

RESULTS

Of 6469 participants, 2137 (35.33%) reported at least one mental disorder and one physical disease. The most substantial associations included those between affective disorders and diseases of the digestive system (odds ratio [OR] = 3.46, 95% confidence interval [CI] = 2.28-5.24), anxiety disorders and arthritis (OR = 2.27, CI = 1.34-3.85), anxiety disorders and heart diseases (OR = 2.41, CI = 1.56-3.73), anxiety disorders and diseases of the digestive system (OR = 2.18, CI = 1.35-3.53), and eating disorders and epilepsy/seizures (OR = 5.45, CI = 1.57-18.87). Sociodemographic factors did not account for the association between mental disorders and physical diseases.

CONCLUSIONS

Findings suggest that mental disorders and physical diseases often co-occur in childhood. This association is a major public health challenge, and the child health system needs additional strategies in patient-centered care, research, medical education, health policy, and economics to develop well-coordinated interdisciplinary approaches linking mental and physical care in children.

The Association between Depressive Symptoms and Physical Diseases in Switzerland: A Cross-Sectional General Population Study

OBJECTIVE

To estimate the association between depressive symptoms and physical diseases in Switzerland, as respective findings might inform about future estimates of mental and physical health care costs.

METHODS

A population-based study, using data from the Swiss Health Survey collected by computer-assisted telephone interviews and additional written questionnaires during the year 2007 (n = 18,760) in Switzerland. The multistage stratified random sample included subjects aged 15 years and older, living in a private Swiss household with a telephone connection. Complete data were available for 14,348 subjects (51% of all subjects reached by telephone). Logistic regression analyses were used to estimate the associations between depressive symptoms and any physical disease, or a specific physical disease out of 13 non-communicable physical diseases assessed with a self-report checklist on common physical diseases. Analyses were adjusted for sex, age, education, occupation, and household income.

RESULTS

In the adjusted models, depressive symptoms were associated with arthrosis and arthritis [Odds Ratio (OR) = 1.79, 95% confidence interval (CI) = 1.28-2.50] and any physical disease (OR = 1.67, 95% CI = 1.33-2.10) after controlling for multiple testing.

CONCLUSION

Our findings contribute to a better understanding of the comorbidity of depressive symptoms and arthrosis and arthritis in Switzerland and might have implications for more precise future estimates of mental and physical health care costs.

Overview of the prevalence, impact, and management of depression and anxiety in chronic obstructive pulmonary disease

More than one third of individuals with chronic obstructive pulmonary disease (COPD) experience comorbid symptoms of depression and anxiety. This review aims to provide an overview of the burden of depression and anxiety in those with COPD and to outline the contemporary advances and challenges in the management of depression and anxiety in COPD. Symptoms of depression and anxiety in COPD lead to worse health outcomes, including impaired health-related quality of life and increased mortality risk. Depression and anxiety also increase health care utilization rates and costs. Although the quality of the data varies considerably, the cumulative evidence shows that complex interventions consisting of pulmonary rehabilitation interventions with or without psychological components improve symptoms of depression and anxiety in COPD. Cognitive behavioral therapy is also an effective intervention for managing depression in COPD, but treatment effects are small. Cognitive behavioral therapy could potentially lead to greater benefits in depression and anxiety in people with COPD if embedded in multidisciplinary collaborative care frameworks, but this hypothesis has not yet been empirically assessed. Mindfulness-based treatments are an alternative option for the management of depression and anxiety in people with long-term conditions, but their efficacy is unproven in COPD. Beyond pulmonary rehabilitation, the evidence about optimal approaches for managing depression and anxiety in COPD remains unclear and largely speculative. Future research to evaluate the effectiveness of novel and integrated care approaches for the management of depression and anxiety in COPD is warranted.

The impact of multimorbidity on short-term events in patients with community-acquired pneumonia: prospective cohort study

The impact of multimorbidity on patients with community-acquired pneumonia has not been well characterised. Thus, our aim was to explore the relationship between multimorbidity and adverse events within 90 days of discharge. Data were prospectively collected for a population-based cohort of all adults discharged from any of the seven emergency departments (ED) or six hospitals in Edmonton (Alberta, Canada) with community-acquired pneumonia. Multivariable Cox regression models were used to examine the independent association between multimorbidity (defined as two or more chronic conditions) and subsequent 90-day mortality, hospitalisation, or ED visits after treatment of pneumonia. The cohort included 5565 patients, mean age was 57 years (SD 20), 54% were male, and 59% were treated as outpatients; 1602 (29%) patients had multimorbidity. Within 90 days, 255 (5%) patients died, 1205 (22%) were hospitalised, 1280 (23%) died or were hospitalised, and 2049 (37%) were admitted to the ED. The presence of multimorbidity was independently associated with an increased risk of death or hospitalisation within 90 days (37% vs. 17% for those without multimorbidity, adjusted hazard ratio: 1.43, 95% confidence interval: 1.26 to 1.62) as well as ED visits (45% vs. 34%, adjusted hazard ratio: 1.40, 95% confidence interval: 1.26 to 1.56). Multimorbidity was present in one-third of all patients with pneumonia in our study, and it was independently associated with death, hospitalisation, or return to ED within 90 days of discharge. Our findings suggest that multimorbidity is strongly related to prognosis and should be considered when making site-of-care decisions in the ED or deciding upon readiness for discharge.

Economics of psychosocial factors in patients with cardiovascular disease

Growing evidence supports a causal relationship between cardiovascular disease and psychosocial factors such as mental health and behavioral disorders, acute and chronic stress, and low socioeconomic status. While this has enriched our understanding of the interaction between cardiovascular risk factors, much less is known about its economic implications. In this review, we evaluate the economic impact of psychosocial factors in persons at risk for or diagnosed with cardiovascular disease. Most studies have focused on depression and almost uniformly conclude that patients with cardiovascular disease and comorbid depression use a greater number of ambulatory and hospital services and incur higher overall costs. Additionally, comorbid depression may also reduce employment productivity in patients with cardiovascular disease, further magnifying its economic impact. Recent randomized trials have demonstrated that innovative care delivery models that target depression may reduce costs or at least be cost neutral while improving quality of life. The growing population burden and overlap of cardiovascular disease, comorbid mental illness, and other psychosocial factors suggest that future research identifying cost-effective or cost-saving treatment models may have significant health and economic implications.