Serious Mental Illness and Risk for Hospitalizations and Rehospitalizations for Ambulatory Care-sensitive Conditions in Denmark: A Nationwide Population-based Cohort Study

Prediction of medical admissions after psychiatric inpatient hospitalization in bipolar disorder: a retrospective cohort study

Objective

Bipolar Disorder (BD) is a severe mental illness associated with high rates of general medical comorbidity, reduced life expectancy, and premature mortality. Although BD has been associated with high medical hospitalization, the factors that contribute to this risk remain largely unexplored. We used baseline medical and psychiatric records to develop a supervised machine learning model to predict general medical admissions after discharge from psychiatric hospitalization.

Methods

In this retrospective three-year cohort study of 71 patients diagnosed with BD (mean age=52.19 years, females=56.33%), lasso regression models combining medical and psychiatric records, as well as those using them separately, were fitted and their predictive power was estimated using a leave-one-out cross-validation procedure.

Results

The proportion of medical admissions in patients with BD was higher compared with age- and sex-matched hospitalizations in the same region (25.4% vs. 8.48%). The lasso model fairly accurately predicted the outcome (area under the curve [AUC]=69.5%, 95%C.I.=55-84.1; sensitivity=61.1%, specificity=75.5%, balanced accuracy=68.3%). Notably, pre-existing cardiovascular, neurological, or osteomuscular diseases collectively accounted for more than 90% of the influence on the model. The accuracy of the model based on medical records was slightly inferior (AUC=68.7%, 95%C.I. = 54.6-82.9), while that of the model based on psychiatric records only was below chance (AUC=61.8%, 95%C.I.=46.2-77.4).

Conclusion

Our findings support the need to monitor medical comorbidities during clinical decision-making to tailor and implement effective preventive measures in people with BD. Further research with larger sample sizes and prospective cohorts is warranted to replicate these findings and validate the predictive model.

Integrating Electronic Health Records and Polygenic Risk to Identify Genetically Unrelated Comorbidities of Schizophrenia That May Be Modifiable

Background

Patients with schizophrenia have substantial comorbidity that contributes to reduced life expectancy of 10 to 20 years. Identifying modifiable comorbidities could improve rates of premature mortality. Conditions that frequently co-occur but lack shared genetic risk with schizophrenia are more likely to be products of treatment, behavior, or environmental factors and therefore are enriched for potentially modifiable associations.

Methods

Phenome-wide comorbidity was calculated from electronic health records of 250,000 patients across 2 independent health care institutions (Vanderbilt University Medical Center and Mass General Brigham); associations with schizophrenia polygenic risk scores were calculated across the same phenotypes in linked biobanks.

Results

Schizophrenia comorbidity was significantly correlated across institutions (r = 0.85), and the 77 identified comorbidities were consistent with prior literature. Overall, comorbidity and polygenic risk score associations were significantly correlated (r = 0.55, p = 1.29 × 10-118). However, directly testing for the absence of genetic effects identified 36 comorbidities that had significantly equivalent schizophrenia polygenic risk score distributions between cases and controls. This set included phenotypes known to be consequences of antipsychotic medications (e.g., movement disorders) or of the disease such as reduced hygiene (e.g., diseases of the nail), thereby validating the approach. It also highlighted phenotypes with less clear causal relationships and minimal genetic effects such as tobacco use disorder and diabetes.

Conclusions

This work demonstrates the consistency and robustness of electronic health record-based schizophrenia comorbidities across independent institutions and with the existing literature. It identifies known and novel comorbidities with an absence of shared genetic risk, indicating other causes that may be modifiable and where further study of causal pathways could improve outcomes for patients.

Severe and common mental disorders and risk of emergency hospital admissions for ambulatory care sensitive conditions among the UK Biobank cohort

BACKGROUND

People with mental disorders have worse physical health compared with the general population, which could be attributable to receiving poorer quality healthcare.

AIMS

To examine the relationship between severe and common mental disorders and risk of emergency hospital admissions for ambulatory care sensitive conditions (ACSCs), and factors associated with increased risk.

METHOD

Baseline data for England (N = 445 814) were taken from UK Biobank, which recruited participants aged 37-73 years during 2006-2010, and linked to hospital admission records up to 31 December 2019. Participants were grouped into those with a history of either schizophrenia, bipolar disorder, depression or anxiety, or no mental disorder. Survival analysis was used to assess the risk of hospital admission for ACSCs among those with mental disorders compared with those without, adjusting for factors in different domains (sociodemographic, socioeconomic, health and biomarkers, health-related behaviours, social isolation and psychological).

RESULTS

People with schizophrenia had the highest (unadjusted) risk of hospital admission for ACSCs compared with those with no mental disorder (hazard ratio 4.40, 95% CI 4.04-4.80). People with bipolar disorder (hazard ratio 2.48, 95% CI 2.28-2.69) and depression or anxiety (hazard ratio 1.76, 95% CI 1.73-1.80) also had higher risk. Associations were more conservative when including all admissions, as opposed to first admissions only. The observed associations persisted after adjusting for a range of factors.

CONCLUSIONS

People with severe mental disorders have the highest risk of preventable hospital admissions. Ensuring people with mental disorders receive adequate ambulatory care is essential to reduce the large health inequalities they experience.

Vaccine-preventable hospitalisations in adult mental health service users: a population study

BACKGROUND

Vaccine-preventable conditions cause preventable illness and may increase mortality in people living with mental illness. We examined how risks of hospitalisation for a wide range of vaccine-preventable conditions varied by age and sex among mental health (MH) service users.

METHODS

Linked population data from New South Wales (NSW), Australia were used to identify vaccine-preventable hospitalisations (VPH) for 19 conditions from 2015 to 2020. Adult MH service users (n = 418 915) were compared to other NSW residents using incidence rates standardised for age, sex and socioeconomic status. Secondary analyses examined admissions for COVID-19 to September 2021.

RESULTS

We identified 94 180 VPH of which 41% were influenza, 33% hepatitis B and 10% herpes zoster. MH service users had more VPH admissions [adjusted incidence rate ratio (aIRR) 3.2, 95% CI 3.1-3.3]. Relative risks were highest for hepatitis (aIRR 4.4, 95% CI 4.3-4.6), but elevated for all conditions including COVID-19 (aIRR 2.0, 95% CI 1.9-2.2). MH service users had a mean age of 9 years younger than other NSW residents at first VPH admission, with the largest age gap for vaccine-preventable pneumonias (11-13 years younger). The highest relative risk of VPH was among MH service users aged 45-65.

CONCLUSIONS

MH service users have increased risk of hospitalisation for many vaccine-preventable conditions. This may be due to reduced vaccination rates, more severe illness requiring hospitalisation, greater exposure to infectious conditions or other factors. People living with mental illness should be prioritised in vaccination strategies.

Impact of Board Certified Psychiatric Pharmacists on improving urinary tract infection antibiotic appropriateness at an acute psychiatric hospital

Introduction

Urinary tract infections (UTIs) are one of the most common indications for antibiotic use; patients with psychiatric disorders have a greater risk for UTI compared with patients without these disorders. However, there is little guidance on how best to manage antibiotic therapy in psychiatric hospitals. This study assessed the impact of a Board Certified Psychiatric Pharmacist (BCPP)-driven guideline on managing UTI treatment in an acute psychiatric hospital.

Methods

The guideline was developed by the psychiatric pharmacy team and distributed to internists, psychiatrists, and pharmacists. Preintervention data were assessed for patients admitted between November 30, 2019, and February 23, 2020; postintervention data were assessed from February 25, 2020, to April 24, 2020. All patients ages 13 years and older who were admitted and had orders for an antibiotic to treat a UTI were included in this study. Appropriate UTI management was defined as an appropriate agent, dose, route, and frequency per the treatment guideline. Additionally, the following criteria were to be ordered and assessed to be deemed appropriate: urinalysis, urine culture, complete blood count, basic or complete metabolic panel, temperature, and subjective symptoms.

Results

Before intervention, 19.0% of antibiotic orders were appropriate; after intervention, 46.7% of antibiotic orders were appropriate (P = .048).

Conclusion

The implementation of a BCPP-driven treatment algorithm was associated with a significant increase in appropriate antibiotic regimens for the treatment of UTIs in patients admitted to a psychiatric hospital.

The incidence rate of planned and emergency physical health hospital admissions in people diagnosed with severe mental illness: a cohort study

BACKGROUND

People with severe mental illness (SMI) have more physical health conditions than the general population, resulting in higher rates of hospitalisations and mortality. In this study, we aimed to determine the rate of emergency and planned physical health hospitalisations in those with SMI, compared to matched comparators, and to investigate how these rates differ by SMI diagnosis.

METHODS

We used Clinical Practice Research DataLink Gold and Aurum databases to identify 20,668 patients in England diagnosed with SMI between January 2000 and March 2016, with linked hospital records in Hospital Episode Statistics. Patients were matched with up to four patients without SMI. Primary outcomes were emergency and planned physical health admissions. Avoidable (ambulatory care sensitive) admissions and emergency admissions for accidents, injuries and substance misuse were secondary outcomes. We performed negative binomial regression, adjusted for clinical and demographic variables, stratified by SMI diagnosis.

RESULTS

Emergency physical health (aIRR:2.33; 95% CI 2.22-2.46) and avoidable (aIRR:2.88; 95% CI 2.60-3.19) admissions were higher in patients with SMI than comparators. Emergency admission rates did not differ by SMI diagnosis. Planned physical health admissions were lower in schizophrenia (aIRR:0.80; 95% CI 0.72-0.90) and higher in bipolar disorder (aIRR:1.33; 95% CI 1.24-1.43). Accident, injury and substance misuse emergency admissions were particularly high in the year after SMI diagnosis (aIRR: 6.18; 95% CI 5.46-6.98).

CONCLUSION

We found twice the incidence of emergency physical health admissions in patients with SMI compared to those without SMI. Avoidable admissions were particularly elevated, suggesting interventions in community settings could reduce hospitalisations. Importantly, we found underutilisation of planned inpatient care in patients with schizophrenia. Interventions are required to ensure appropriate healthcare use, and optimal diagnosis and treatment of physical health conditions in people with SMI, to reduce the mortality gap due to physical illness.

Identifying modifiable comorbidities of schizophrenia by integrating electronic health records and polygenic risk

Patients with schizophrenia have substantial comorbidity contributing to reduced life expectancy of 10-20 years. Identifying which comorbidities might be modifiable could improve rates of premature mortality in this population. We hypothesize that conditions that frequently co-occur but lack shared genetic risk with schizophrenia are more likely to be products of treatment, behavior, or environmental factors and therefore potentially modifiable. To test this hypothesis, we calculated phenome-wide comorbidity from electronic health records (EHR) in 250,000 patients in each of two independent health care institutions (Vanderbilt University Medical Center and Mass General Brigham) and association with schizophrenia polygenic risk scores (PRS) across the same phenotypes (phecodes) in linked biobanks. Comorbidity with schizophrenia was significantly correlated across institutions (r = 0.85) and consistent with prior literature. After multiple test correction, there were 77 significant phecodes comorbid with schizophrenia. Overall, comorbidity and PRS association were highly correlated (r = 0.55, p = 1.29×10-118), however, 36 of the EHR identified comorbidities had significantly equivalent schizophrenia PRS distributions between cases and controls. Fifteen of these lacked any PRS association and were enriched for phenotypes known to be side effects of antipsychotic medications (e.g., "movement disorders", "convulsions", "tachycardia") or other schizophrenia related factors such as from smoking ("bronchitis") or reduced hygiene (e.g., "diseases of the nail") highlighting the validity of this approach. Other phenotypes implicated by this approach where the contribution from shared common genetic risk with schizophrenia was minimal included tobacco use disorder, diabetes, and dementia. This work demonstrates the consistency and robustness of EHR-based schizophrenia comorbidities across independent institutions and with the existing literature. It identifies comorbidities with an absence of shared genetic risk indicating other causes that might be more modifiable and where further study of causal pathways could improve outcomes for patients.

The impact of comorbid severe mental illness and common chronic physical health conditions on hospitalisation: A systematic review and meta-analysis

BACKGROUND

People with severe mental illness (SMI) are at higher risk of physical health conditions compared to the general population, however, the impact of specific underlying health conditions on the use of secondary care by people with SMI is unknown. We investigated hospital use in people managed in the community with SMI and five common physical long-term conditions: cardiovascular diseases, COPD, cancers, diabetes and liver disease.

METHODS

We performed a systematic review and meta-analysis (Prospero: CRD42020176251) using terms for SMI, physical health conditions and hospitalisation. We included observational studies in adults under the age of 75 with a diagnosis of SMI who were managed in the community and had one of the physical conditions of interest. The primary outcomes were hospital use for all causes, physical health causes and related to the physical condition under study. We performed random-effects meta-analyses, stratified by physical condition.

RESULTS

We identified 5,129 studies, of which 50 were included: focusing on diabetes (n = 21), cardiovascular disease (n = 19), COPD (n = 4), cancer (n = 3), liver disease (n = 1), and multiple physical health conditions (n = 2). The pooled odds ratio (pOR) of any hospital use in patients with diabetes and SMI was 1.28 (95%CI:1.15-1.44) compared to patients with diabetes alone and pooled hazard ratio was 1.19 (95%CI:1.08-1.31). The risk of 30-day readmissions was raised in patients with SMI and diabetes (pOR: 1.18, 95%CI:1.08-1.29), SMI and cardiovascular disease (pOR: 1.27, 95%CI:1.06-1.53) and SMI and COPD (pOR:1.18, 95%CI: 1.14-1.22) compared to patients with those conditions but no SMI.

CONCLUSION

People with SMI and five physical conditions are at higher risk of hospitalisation compared to people with that physical condition alone. Further research is warranted into the combined effects of SMI and physical conditions on longer-term hospital use to better target interventions aimed at reducing inappropriate hospital use and improving disease management and outcomes.

Utilization of an Innovative Psychoeducational Group for Veterans With Severe Mental Illness: A Program Evaluation of a Quality Improvement Initiative

INTRODUCTION

Cognitive impairments-episodes of mania or psychosis, paranoia, and substance use-are common effects of serious mental illness, which can lead to stigmatization, social isolation, and a decrease in interaction with health care providers. These consequences can obstruct a person with serious mental illness ability to comprehend diagnosed mental disorders and to fully participate in treatment. Consistent with the Substance Abuse and Mental Health Services Administration Recovery Model for Disease Management, nurse practitioner residents in a mental health nurse practitioner residency program developed an interactive psychoeducation series to improve veteran health self-efficacy and self-management.

AIM

The overall purpose of this sequential quality improvement initiative was to develop and deliver a psychoeducational series, which is both veteran centric and recovery oriented.

METHODS

Series I of the project produced psychoeducational sessions based on collaborative interactions among veterans and members of the treatment team, with a focus on neurobiology, pharmacology, and evidence-based treatment recommendations. Through an innovative and interactive framework, Plan-Do-Study-Act cycles were utilized to bring about foundational themes and inherent changes in the psychoeducation delivery. With veterans' feedback and collaboration, Series II of the project was developed within the continuous improvement evaluations from Series I.

RESULTS

Treatment collaboration between veterans and providers was fostered as veterans experienced learning, symptom recognition, and empowerment.

CONCLUSION

This project is unique in that it is the first known review of a quality improvement initiative to incorporate concurrent changes in psychoeducational session delivery, involving veterans and their providers to foster collaboration.

Primary care for people with severe mental illness and comorbid obstructive airways disease: a qualitative study of patient perspectives with integrated stakeholder feedback

OBJECTIVES

To explore patient and stakeholder perspectives on primary respiratory care for people with severe mental illness (SMI) and comorbid obstructive airways disease (OAD).

DESIGN

Qualitative, semistructured qualitative interviews were undertaken with a purposive sample of people with a diagnosis of SMI (bipolar illness, schizophrenia, affective disorder with psychosis) and comorbid asthma or chronic obstructive pulmonary disease. Transcribed data were analysed using an interpretive phenomenological approach. Study results were discussed with stakeholders.

SETTING

Eight UK general practices.

PARTICIPANTS

16 people aged 45-75 years, with SMI and comorbid asthma or chronic obstructive pulmonary disease, were interviewed. Twenty-one people, four with lived experience of SMI and seventeen health/social care/third sector practitioners, participated in discussion groups at a stakeholder event.

RESULTS

Participants described disability and isolation arising from the interplay of SMI and OAD symptoms. Social support determined ease of access to primary care. Self-management of respiratory health was not person-centred as practitioners failed to consider individual needs and health literacy. Participants perceived smoking cessation impossible without tailored support. Less than half of the practices facilitated personalised access to timely primary care and continuity. Overall, there was a reliance on urgent care if service adaptations and social support were lacking. The stakeholder group expressed concern about gaps in care, the short-term funding of community organisations and fear of loss of benefits. Potential solutions focused on supported navigation of care pathways, relational continuity, individual and community asset building and the evolving social prescriber role.

CONCLUSION

This study suggests that despite UK guidelines and incentives to optimise physical healthcare, primary care fails to consistently deliver integrated biopsychosocial care for patients with SMI and OAD. Collaborative, personalised care that builds social capital and tailors support for self-management is needed, alongside service-level interventions to enhance access to healthcare for patients with comorbid SMI and OAD.

Association of Team-Based Care and Continuity of Care with Hospitalizations for Veterans with Comorbid Mental and Physical Health Conditions

BACKGROUND

Integrating mental health in primary care settings is associated with improved screening and detection of mental illness. In 2010, the Veterans Health Administration launched a patient-centered medical home (PCMH) model nationally across all clinical sites that integrated mental health into primary care-the Patient Aligned Care Team (PACT) initiative. Team-based delivery of continuous primary and mental health care, as found in effective collaborative care models, is thought to be crucial to managing veterans with mental health disorders. The association between clinic implementation of specific aspects of PACT and clinical outcomes of veterans with mental health disorders remains unknown.

OBJECTIVE

To examine the association between clinic implementation of team-based care and continuity of care and subsequent hospitalizations among veterans with mental health disorders.

DESIGN

Retrospective cohort study.

PATIENTS

A total of 1,444,942 veterans with comorbid mental health disorders and physical health conditions receiving primary care in 831 VA PACT clinics in fiscal year (FY) 2015.

MAIN MEASURES

We examined the clinic-level implementation of team-based care and continuity of care in the clinic where veterans received their primary care. Our primary outcome was any hospitalization in the VA or fee-based service in FY2016. We examined the impact of clinic-level implementation of team-based care and continuity of care on having a hospitalization, adjusting for patient demographic, clinical characteristics, and facility characteristics.

KEY RESULTS

Veterans receiving care in clinics with the greatest versus lowest quartile of implementation of team-based care had lower rates of hospitalization (8.8% vs. 12.3%; adjusted OR = 0.92, 95% CI 0.85-0.99, p < 0.035). There was not a statistically significant association between clinic-level implementation of continuity of care and hospitalization.

CONCLUSIONS

Veterans receiving care in clinics with greater implementation of team-based care had statistically significant lower rates of hospitalization.

Changes in oral corticosteroid use in asthma treatment-A 20-year Danish nationwide drug utilisation study

Oral corticosteroids (OCS) are used in asthma management but can cause serious adverse effects. We aimed to investigate the usage trends in a nationwide asthma cohort in Denmark from 1999 to 2018. Using national registers, we identified young adults (18-45 years) with two or more asthma drug collections within 12 months since the age of 15 years as indicative of active asthma. OCS exposure level was stratified as high use (≥5 mg prednisolone/day/year) and low use (<5 mg/day/year). Lorenz curves were computed to illustrate potential skewness of consumption among the OCS users. We identified 318 950 individuals with a median age of 29 years (IQR 20-38 years) whereof 57% were women. The 1-year prevalence of OCS users was stable at 4.8% (median, IQR 4.7%-4.8%), but with nearly 40% decrease in high-users from 0.54% in 1999 to 0.33% in 2018. The median annual exposure decreased from 500 mg/year (1999) to 250 mg/year (2018). We found a substantial skewness in the distribution of OCS usage with 10% of users accounting for almost 50% of all OCS use. The prevalence of OCS users among young adults with active asthma has been relatively stable from 1999 to 2018, but with a decreasing prevalence of high-users and annual consumption.

Hospitalizations among World Trade Center Health Registry Enrollees Who Were under 18 Years of Age on 9/11, 2001-2016

Much of the literature on hospitalizations post-September 11, 2001 (9/11) focuses on adults but little is known about post-9/11 hospitalizations among children. Data for World Trade Center Health Registry enrollees who were under 18-years old on 9/11 were linked to New York State hospitalization data to identify hospitalizations from enrollment (2003-2004) to December 31, 2016. Logistic regression was used to analyze factors associated with hospitalization. Of the 3151 enrollees under age 18 on 9/11, 243 (7.7%) had at least one 9/11-related physical health hospitalization and 279 (8.9%) had at least one 9/11-related mental health hospitalization. Individuals of non-White race, those living in New York City Housing Authority housing, those exposed to the dust cloud on 9/11, and those with probable 9/11-related PTSD symptoms were more likely to be hospitalized for a 9/11-related physical health condition. Older age and having probable 9/11-related PTSD symptoms at baseline were associated with being hospitalized for a 9/11-related mental health condition. Dust cloud exposure on 9/11 and PTSD symptoms were associated with hospitalizations among those exposed to 9/11 as children. Racial minorities and children living in public housing were at greater risk of hospitalization. Continued monitoring of this population and understanding the interplay of socioeconomic factors and disaster exposure will be important to understanding the long-term effects of 9/11.

Experiences of Hospitalization of Patients With Psychotic Disorders on Medical-Surgical Units: A Thematic Analysis

BACKGROUND:Individuals with psychotic disorders are more likely to have nonpsychiatric hospitalizations than the general population. Moreover, they experience worse outcomes in terms of rehospitalization, adverse events, in-hospital mortality, and longer length of stay. AIM: A patient-centered understanding of inpatient medical-surgical hospitalization experiences could shed light on disparities in hospital outcomes among individuals with psychotic disorders. METHOD: This article reports findings from Phase 1 (Qualitative) of a mixed methods, exploratory sequential study of nonpsychiatric hospitalizations of patients with psychotic disorders. Patients on medical-surgical units with diagnosed psychotic disorders (n = 20) were interviewed about their experiences of hospitalization, and a thematic analysis was conducted of transcripts, case notes, and setting notes. RESULTS: Five themes emerged from analysis: (1) managing through hard times (subthemes: intense emotions, medically complex with many symptoms, strategies for self-management), (2) ignored and treated unfairly, (3) actively involved in health (subthemes: seeking health education, suggesting changes), (4) appreciation of caring providers, and (5) violence: expected and enacted. Participants connected the difficult nature of their hospitalization experiences with a variety of sources and outcomes, including strong emotions, variable relationships with providers and a struggle to receive health education. CONCLUSIONS: Nurses who care for patients with psychotic disorders in medical-surgical settings can better meet patients' needs by concentrating on relationship building, especially during initial interactions, and helping patients better manage their medical and psychiatric symptoms through both pharmaceutical and nursing interventions.

Excess mortality and life-years lost in people with bipolar disorder: an 11-year population-based cohort study

AIMS

Bipolar disorder is associated with premature mortality, but evidence is mostly derived from Western countries. There has been no research evaluating shortened lifespan in bipolar disorder using life-years lost (LYLs), which is a recently developed mortality metric taking into account illness onset for life expectancy estimation. The current study aimed to examine the extent of premature mortality in bipolar disorder patients relative to the general population in Hong Kong (HK) in terms of standardised mortality ratio (SMR) and excess LYLs, and changes of mortality rate over time.

METHODS

This population-based cohort study investigated excess mortality in 12 556 bipolar disorder patients between 2008 and 2018, by estimating all-cause and cause-specific SMRs, and LYLs. Trends in annual SMRs over the 11-year study period were assessed. Study data were retrieved from a territory-wide medical-record database of HK public healthcare services.

RESULTS

Patients had higher all-cause [SMR: 2.60 (95% CI: 2.45-2.76)], natural-cause [SMR: 1.90 (95% CI: 1.76-2.05)] and unnatural-cause [SMR: 8.63 (95% CI: 7.34-10.03)] mortality rates than the general population. Respiratory diseases, cardiovascular diseases and cancers accounted for the majority of deaths. Men and women with bipolar disorder had 6.78 (95% CI: 6.00-7.84) years and 7.35 (95% CI: 6.75-8.06) years of excess LYLs, respectively. The overall mortality gap remained similar over time, albeit slightly improved in men with bipolar disorder.

CONCLUSIONS

Bipolar disorder is associated with increased premature mortality and substantially reduced lifespan in a predominantly Chinese population, with excess deaths mainly attributed to natural causes. Persistent mortality gap underscores an urgent need for targeted interventions to improve physical health of patients with bipolar disorder.

Potentially preventable hospitalisations for physical health conditions in community mental health service users: a population-wide linkage study

AIMS

Mental health (MH) service users have increased prevalence of chronic physical conditions such as cardio-respiratory diseases and diabetes. Potentially Preventable Hospitalisations (PPH) for physical health conditions are an indicator of health service access, integration and effectiveness, and are elevated in long term studies of people with MH conditions. We aimed to examine whether PPH rates were elevated in MH service users over a 12-month follow-up period more suitable for routine health indicator reporting. We also examined whether MH service users had increased PPH rates at a younger age, potentially reflecting the younger onset of chronic physical conditions.

METHODS

A population-wide data linkage in New South Wales (NSW), Australia, population 7.8 million. PPH rates in 178 009 people using community MH services in 2016-2017 were compared to population rates. Primary outcomes were crude and age- and disadvantage-standardised annual PPH episode rate (episodes per 100 000 population), PPH day rate (hospital days per 100 000) and adjusted incidence rate ratios (AIRR).

RESULTS

MH service users had higher rates of PPH admission (AIRR 3.6, 95% CI 3.5-3.6) and a larger number of hospital days (AIRR 5.2, 95% CI 5.2-5.3) than other NSW residents due to increased likelihood of admission, more admissions per person and longer length of stay. Increases were greatest for vaccine-preventable conditions (AIRR 4.7, 95% CI 4.5-5.0), and chronic conditions (AIRR 3.7, 95% CI 3.6-3.7). The highest number of admissions and relative risks were for respiratory and metabolic conditions, including chronic obstructive airways disease (AIRR 5.8, 95% CI 5.5-6.0) and diabetic complications (AIRR 5.4, 95% CI 5.1-5.8). One-quarter of excess potentially preventable bed days in MH service users were due to vaccine-related conditions, including vaccine-preventable respiratory illness. Age-related increases in risk occurred earlier in MH service users, particularly for chronic and vaccine-preventable conditions. PPH rates in MH service users aged 20-29 were similar to population rates of people aged 60 and over. These substantial differences were not explained by socio-economic disadvantage.

CONCLUSIONS

PPHs for physical health conditions are substantially increased in people with MH conditions. Short term (12-month) PPH rates may be a useful lead indicator of increased physical morbidity and less accessible, integrated or effective health care. High hospitalisation rates for vaccine-preventable respiratory infections and hepatitis underline the importance of vaccination in MH service users and suggests potential benefits of prioritising this group for COVID-19 vaccination.

Psychiatric Medication Changes Associated With Increased Rate of Medical Readmissions in Patients With Serious Mental Illness

ABSTRACT

To identify the impact of postdischarge psychiatric medication changes on general medical readmissions among patients with serious mental illness (SMI; bipolar disorder, major depressive disorder, and schizophrenia), claims from a 5% national sample of Medicare fee-for-service (FFS) beneficiaries hospitalized between 2013 and 2016 were studied. A total of 165,490 Medicare FFS beneficiaries with SMI 18 years or older with at least 1 year of continuous Medicare enrollment were identified. Within 30 days of discharge from index admission, 47.4% experienced a psychiatric medication change-including 75,892 beneficiaries experiencing a deletion and 55,713 experiencing an addition. After adjusting for potential confounders, those with a medication change experienced an 10% increase in the odds of 30-day readmission (odds ratio, 1.10; SE, 0.019; p < 0.001). Comorbid drug use disorder was also associated with an increased odds of readmission after controlling for other covariates. These findings suggest important factors that clinicians should be aware of when discharging patients with SMI.

Factors Related to 30-day Readmission following Hospitalization for Any Medical Reason among Patients with Mental Disorders: Facteurs liés à la réhospitalisation à 30 jours suivant une hospitalisation pour une raison médicale chez des patients souffrant de troubles mentaux

OBJECTIVE

This study evaluated the contributions of clinical, sociodemographic, and service use variables to the risk of early readmission, defined as readmission within 30 days of discharge following hospitalization for any medical reason (mental or physical illnesses), among patients with mental disorders in Quebec (Canada).

METHODS

In this longitudinal study, 2,954 hospitalized patients who had visited 1 of 6 Quebec emergency departments (ED) in 2014 to 2015 (index year) were identified through clinical administrative databanks. The first hospitalization was considered that may have occurred at any Quebec hospital. Data collected between 2012 and 2013 and 2013 and 2014 on clinical, sociodemographic, and service use variables were assessed as related to readmission/no readmission within 30 days of discharge using hierarchical binary logistic regression.

RESULTS

Patients with co-occurring substance-related disorders/chronic physical illnesses, serious mental disorders, or adjustment disorders (clinical variables); 4+ outpatient psychiatric consultations with the same psychiatrist; and patients hospitalized for any medical reason within 12 months prior to index hospitalization (service use variables) were more likely to be readmitted within 30 days of discharge. Patients who made 1 to 3 ED visits within 1 year prior to the index hospitalization, had their index hospitalization stay of 16 to 29 days, or consulted a physician for any medical reason within 30 days after discharge or prior to the readmission (service use variables) were less likely to be rehospitalized.

CONCLUSIONS

Early hospital readmission was more strongly associated with clinical variables, followed by service use variables, both playing a key role in preventing early readmission. Results suggest the importance of developing specific interventions for patients at high risk of readmission such as better discharge planning, integrated and collaborative care, and case management. Overall, better access to services and continuity of care before and after hospital discharge should be provided to prevent early hospital readmission.

Death of a Partner and Risks of Ischemic Stroke and Intracerebral Hemorrhage: A Nationwide Danish Matched Cohort Study

Background

Stress has been reported to trigger stroke, and the death of a loved one is a potentially extremely stressful experience. Yet, previous studies have yielded conflicting findings of whether bereavement is associated with stroke risk, possibly because of insufficient distinction between ischemic stroke (IS) and intracerebral hemorrhage (ICH). We therefore examined the associations between bereavement and IS and ICH separately in contemporary care settings using nationwide high‐quality register resources.

Methods and Results

The study cohort included all Danish individuals whose partner died between 2002 and 2016 and a reference group of cohabiting individuals matched 1:2 on sex, age, and calendar time. Cox proportional hazards regression was used to estimate adjusted hazard ratios (aHRs) and corresponding 95% CIs during up to 5 years follow‐up. During the study period, 278 758 individuals experienced partner bereavement, of whom 7684 had an IS within the subsequent 5 years (aHR, 1.11; CI, 1.08–1.14 when compared with nonbereaved referents) and 1139 experienced an ICH (aHR, 1.13; CI, 1.04–1.23). For ICH, the estimated association tended to be stronger within the initial 30 days after partner death (aHR, 1.66; CI, 1.06–2.61), especially in women (aHR, 1.99; CI, 1.06–3.75), but the statistical precision was low. In absolute numbers, the cumulative incidence of IS at 30 days was 0.73 per 1000 in bereaved individuals versus 0.63 in their referents, and the corresponding figures for ICH were 0.13 versus 0.08.

Conclusions

Statistically significant positive associations with partner bereavement were documented for both IS and ICH risk, for ICH particularly in the short term. However, absolute risk differences were small.

Non-psychiatric hospitalization length-of-stay for patients with psychotic disorders: A mixed methods study

OBJECTIVE

Patients with psychotic disorders experience higher rates of chronic and acute non-psychotic diseases and have frequent non-psychiatric hospitalizations which result in both longer and more varied length-of-stay (LoS) than other patients. This study seeks to use a patient-centered perspective to examine LoS.

METHODS

This article reports Phase Two of a mixed methods, exploratory sequential study on non-psychiatric hospitalizations for individuals with psychotic disorders. Patients' experiences were used to guide a quantitative analysis of LoS using a general linear model.

RESULTS

Medical comorbidities were the patient characteristics which had the largest effect on LoS. Certain processes of care highlighted by patients from Phase One were also associated with longer LoS, including: physical restraints (105%), psychiatric consults (20%) and continuous observation (133%). Only recent in-system outpatient appointments were associated with shorter LoS. Data integration highlighted that factors which were important to patients such as partner support, were not always quantitatively significant, while others like medical comorbidities and use of physical restraints were points of congruence.

CONCLUSIONS

Medical comorbidities were highly associated with LoS but processes relating to longer LoS are those that are used to manage symptoms of acute psychosis. Clinicians should develop policies and procedures that address psychosis symptoms effectively during non-psychiatric hospitalizations. Further research is needed to understand which patients with psychotic disorders are at highest risk of extended length-of-stay.

Severe mental illness and health service utilisation for nonpsychiatric medical disorders: A systematic review and meta-analysis

BACKGROUND

Psychiatric comorbidity is known to impact upon use of nonpsychiatric health services. The aim of this systematic review and meta-analysis was to assess the specific impact of severe mental illness (SMI) on the use of inpatient, emergency, and primary care services for nonpsychiatric medical disorders.

METHODS AND FINDINGS

PubMed, Web of Science, PsychINFO, EMBASE, and The Cochrane Library were searched for relevant studies up to October 2018. An updated search was carried out up to the end of February 2020. Studies were included if they assessed the impact of SMI on nonpsychiatric inpatient, emergency, and primary care service use in adults. Study designs eligible for review included observational cohort and case-control studies and randomised controlled trials. Random-effects meta-analyses of the effect of SMI on inpatient admissions, length of hospital stay, 30-day hospital readmission rates, and emergency department use were performed. This review protocol is registered in PROSPERO (CRD42019119516). Seventy-four studies were eligible for review. All were observational cohort or case-control studies carried out in high-income countries. Sample sizes ranged from 27 to 10,777,210. Study quality was assessed using the Newcastle-Ottawa Scale for observational studies. The majority of studies (n = 45) were deemed to be of good quality. Narrative analysis showed that SMI led to increases in use of inpatient, emergency, and primary care services. Meta-analyses revealed that patients with SMI were more likely to be admitted as nonpsychiatric inpatients (pooled odds ratio [OR] = 1.84, 95% confidence interval [CI] 1.21-2.80, p = 0.005, I2 = 100%), had hospital stays that were increased by 0.59 days (pooled standardised mean difference = 0.59 days, 95% CI 0.36-0.83, p < 0.001, I2 = 100%), were more likely to be readmitted to hospital within 30 days (pooled OR = 1.37, 95% CI 1.28-1.47, p < 0.001, I2 = 83%), and were more likely to attend the emergency department (pooled OR = 1.97, 95% CI 1.41-2.76, p < 0.001, I2 = 99%) compared to patients without SMI. Study limitations include considerable heterogeneity across studies, meaning that results of meta-analyses should be interpreted with caution, and the fact that it was not always possible to determine whether service use outcomes definitively excluded mental health treatment.

CONCLUSIONS

In this study, we found that SMI impacts significantly upon the use of nonpsychiatric health services. Illustrating and quantifying this helps to build a case for and guide the delivery of system-wide integration of mental and physical health services.

Physical health among people with serious mental illness in the face of COVID-19: Concerns and mitigation strategies

COVID-19 can worsen the physical health of individuals with serious mental illness, a vulnerable group already facing physical health disparities. COVID-19 is further reducing access to physical health care due to shutdown of services deemed "non-urgent" and overcrowding of emergency services. Management of chronic diseases, highly prevalent in this group, is undermined due to exacerbation of psychiatric disorders, reduction in availability of social support, and worsening of negative social determinants of health. In this commentary, we discuss the challenges experienced by this group and offer mitigation strategies to reduce: (1) inequalities in access to physical health care; and (2) disruptions to the management of chronic physical conditions in the face of COVID-19. Recommendations include coordinated efforts by health authorities, primary and mental health care organizations, researchers, policymakers, and other stakeholders. These efforts should ensure equitable access to physical health care and implementation of innovative programs to protect the physical health of people with serious mental illness during and following the pandemic.

Disparities in the Use of General Somatic Care among Individuals Treated for Severe Mental Disorders and the General Population in France

Individuals with severe mental illnesses (SMI) face a striking excess and premature mortality which has been demonstrated in several national contexts. This phenomenon, which constitutes a red-flag indicator of public health inequities, can be hypothesized to result from healthcare access issues which have been insufficiently documented so far. In this context, our objective was to explore patterns of general somatic healthcare use of individuals treated for SMI in comparison to those of the general population in France using national health administrative data and a matched case-control study. Differences in the use of general and specific somatic preventive care services, primary care, routine specialized somatic care and admissions to non-psychiatric hospital departments for somatic causes were described between cases and controls after adjustment on differing clinical needs, socio-economic status, and living environment. Our results show a lower use of general preventive care services and of routine specialized somatic care in the SMI population, despite more frequent comorbidities, and a higher occurrence of avoidable hospitalizations, despite higher contacts with primary care physicians. These findings suggest that the health system fails to address the specific needs of this vulnerable population and support the development of measures aimed at reducing this gap.

Schizophrenia and attendance in primary healthcare: a population-based matched cohort study

Objective: Schizophrenia is associated with high mortality, somatic comorbidity and reduced life expectancy. The general practitioner (GP) plays a key role in the treatment of mental and physical multimorbidity. Nevertheless, it is unclear how much individuals with schizophrenia use primary healthcare. This study aims to investigate the yearly numbers of consultations in general practice for individuals with schizophrenia. Design and Setting: We performed a population-based matched cohort study of 21,757 individuals with schizophrenia and 435,140 age- and gender-matched references from Danish National Registers. Monthly general practice consultations were analysed using a generalized linear model with log link and assuming negative binomial distribution. Main outcome measures: Consultation rates in general practice up to17 years after index diagnosis. Results: Individuals with schizophrenia attended their GP more than references throughout the study period. The cases had 82% (95% CI: 78-87) and 76% (95% CI: 71-80) more consultations in primary care after 1 year and 5 years, respectively. Individuals with both schizophrenia and comorbid somatic illness attended even more. Conclusion: Individuals with schizophrenia are in regular contact with their GP, especially if they have comorbid illnesses. Whether an average of six consultations per year for individuals with schizophrenia is sufficient is up for debate. The study demonstrates a potential for an increased prevention and treatment of individuals with schizophrenia in general practice. KEY POINTS Schizophrenia is associated with high mortality, somatic comorbidity and reduced life expectancy. Little is known about the attendance pattern in primary care for individuals with schizophrenia. •We found high attendance rates in primary care for individuals diagnosed with schizophrenia from index diagnosis and at least 17 years after diagnosis, which suggests opportunities for earlier intervention to improve their somatic health. •We found an association between high illness comorbidity and increased risk of not attending the general practitioner. The most severely somatically and mentally ill individuals may thus be difficult to reach and support in the current healthcare system.

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.

Mental well-being, job satisfaction and self-rated workability in general practitioners and hospitalisations for ambulatory care sensitive conditions among listed patients: a cohort study combining survey data on GPs and register data on patients

BACKGROUND

Physicians' work conditions and mental well-being may affect healthcare quality and efficacy. Yet the effects on objective measures of healthcare performance remain understudied. This study examined mental well-being, job satisfaction and self-rated workability in general practitioners (GPs) in relation to hospitalisations for ambulatory care sensitive conditions (ACSC-Hs), a register-based quality indicator affected by referral threshold and prevention efforts in primary care.

METHODS

This is an observational study combining data from national registers and a nationwide questionnaire survey among Danish GPs. To ensure precise linkage of each patient with a specific GP, partnership practices were not included. Study cases were 461 376 adult patients listed with 392 GPs. Associations between hospitalisations in the 6-month study period and selected well-being indicators were estimated at the individual patient level and adjusted for GP gender and seniority, list size, and patient factors (comorbidity, sociodemographic characteristics).

RESULTS

The median number of ACSC-Hs per 1000 listed patients was 10.2 (interquartile interval: 7.0-13.7). All well-being indicators were inversely associated with ACSC-Hs, except for perceived stress (not associated). The adjusted incidence rate ratio was 1.26 (95% CI 1.13 to 1.42) for patients listed with GPs in the least favourable category of self-rated workability, and 1.19 (95% CI 1.05 to 1.35), 1.15 (95% CI 1.04 to 1.27) and 1.14 (95% CI 1.03 to 1.27) for patients listed with GPs in the least favourable categories of burn-out, job satisfaction and general well-being (the most favourable categories used as reference). Hospitalisations for conditions not classified as ambulatory care sensitive were not equally associated.

CONCLUSIONS

ACSC-H frequency increased with decreasing levels of GP mental well-being, job satisfaction and self-rated workability. These findings imply that GPs' work conditions and mental well-being may have important implications for individual patients and for healthcare expenditures.

Association of Mental Health Disorders With Health Care Utilization and Costs Among Adults With Chronic Disease

IMPORTANCE

A population-based study using validated algorithms to estimate the costs of treating people with chronic disease with and without mental health disorders is needed.

OBJECTIVE

To determine the association of mental health disorders with health care costs among people with chronic diseases.

DESIGN, SETTING, AND PARTICIPANTS

This population-based cohort study in the Canadian province of Alberta collected data from April 1, 2012, to March 31, 2015, among 991 445 adults 18 years and older with a chronic disease (ie, asthma, congestive heart failure, myocardial infarction, diabetes, epilepsy, hypertension, chronic pulmonary disease, or chronic kidney disease). Data analysis was conducted from October 2017 to August 2018.

EXPOSURES

Mental health disorder (ie, depression, schizophrenia, alcohol use disorder, or drug use disorder).

MAIN OUTCOMES AND MEASURES

Resource use, mean total unadjusted and adjusted 3-year health care costs, and mean total unadjusted 3-year costs for hospitalization and emergency department visits for ambulatory care-sensitive conditions.

RESULTS

Among 991 445 participants, 156 296 (15.8%) had a mental health disorder. Those with no mental health disorder were older (mean [SD] age, 58.1 [17.6] years vs 55.4 [17.0] years; P < .001) and less likely to be women (50.4% [95% CI, 50.3%-50.5%] vs 57.7% [95% CI, 57.4%-58.0%]; P < .001) than those with mental health disorders. For those with a mental health disorder, mean total 3-year adjusted costs were $38 250 (95% CI, $36 476-$39 935), and for those without a mental health disorder, mean total 3-year adjusted costs were $22 280 (95% CI, $21 780-$22 760). Having a mental health disorder was associated with significantly higher resource use, including hospitalization and emergency department visit rates, length of stay, and hospitalization for ambulatory care-sensitive conditions. Higher resource use by patients with mental health disorders was not associated with health care presentations owing to chronic diseases compared with patients without a mental health disorder (chronic disease hospitalization rate per 1000 patient days, 0.11 [95% CI, 0.11-0.12] vs 0.06 [95% CI, 0.06-0.06]; P < .001; overall hospitalization rate per 1000 patient days, 0.88 [95% CI, 0.87-0.88] vs 0.43 [95% CI, 0.43-0.43]; P < .001).

CONCLUSIONS AND RELEVANCE

This study suggests that mental health disorders are associated with substantially higher resource utilization and health care costs among patients with chronic diseases. These findings have clinical and health policy implications.

Risk factors of major infections in schizophrenia. A nationwide Danish register study

BACKGROUND

Risk of infections is elevated in patients with schizophrenia. Predicting their occurrence is essential, as infections in this group of patients are associated with prolonged hospital admission and increased mortality. The objective of the current investigation was to identify the potential risk factors of major infection after diagnosis with schizophrenia.

METHODS

This national prospective observational cohort study included 7788 people with schizophrenia born in Denmark between 1975 and 1990. Socio-demographic, psychiatric and health related data were obtained from Danish national registers. The Cox regression model was used for data analyses. Crude and adjusted hazard ratios (HRs) with 95% confidence intervals (95%CIs) are presented.

RESULTS

The most significant risk factors associated with the development of major infections included young age, female gender, medical comorbidity and substance abuse. A history of treatment with antipsychotics preceding the diagnosis was negatively associated with such morbidity.

CONCLUSION

This study reports several factors that might increase the risk of infections in individuals with schizophrenia. Early intervention towards infections should be considered in the subpopulation of schizophrenia patients who are at increased risk of infections.

Mortality rate trends in patients diagnosed with schizophrenia or bipolar disorder: a nationwide study with 20 years of follow-up

Background

Patients with severe mental illness (SMI) have a reduced life expectancy of one to two decades as compared to the general population, with most years of life lost due to somatic diseases. Most previous studies on disorders constituting SMI, e.g. schizophrenia and bipolar disorder, have investigated the disorders separately and hence not compared the disorders in terms of mortality rates relative to the background population.

Methods

A register-based cohort study including the entire Danish population comparing mortality rates relative to the background population, controlling for age and sex, i.e. standardized mortality ratios (SMRs) in patients diagnosed with schizophrenia with those in patients diagnosed with bipolar disorder, during the study period from 1995 to 2014.

Results

The SMR of patients with SMI was significantly higher than one for each calendar year in the study period with an overall SMR of 4.58, 95% CI (4.48–4.69) in patients diagnosed with schizophrenia (n = 38,500) and of 2.57 (95% CI 2.49–2.65) in patients diagnosed with bipolar disorder (n = 23,092). When investigating time trends in SMR for schizophrenia and for bipolar disorder, respectively, an increase in SMR over time was shown with a mean increase of 0.03 per year for schizophrenia and 0.02 for bipolar disorder (p < 0.01 for both disorders). The ratio between SMR for schizophrenia and SMR for bipolar disorder for each calendar year over the study period was constant (p = 0.756).

Conclusions

Increasing SMRs over the last 20 years were found for both patients diagnosed with bipolar disorder and patients diagnosed with schizophrenia. Despite clear differences between the two disorders regarding SMRs, the increases in SMR over time were similar, which could suggest similar underlying factors influencing mortality rates in both disorders.

Behavioral health conditions and potentially preventable diabetes-related hospitalizations in the United States: Findings from a national sample of commercial claims data

Objective

To characterize the relationship between potentially preventable hospitalizations (PPHs) for diabetes and behavioral health conditions in commercially insured working-age persons with diabetes in the United States.

Research design and methods

We retrospectively analyzed medical and pharmacy claims from services rendered between 2011 and 2013 for 229,039 adults with diabetes. Diabetes PPHs were identified using the Agency for Healthcare Research and Quality’s Prevention Quality Indicators v6.0 logic. We used negative binomial-logit hurdle regression models to explore the adjusted relationships between diabetes PPHs and schizophrenia, bipolar, depression, anxiety, adjustment disorder, alcohol use disorder, and drug use disorder.

Results

A total of 4,521 diabetes PPHs were experienced by 3,246 of the persons in the sample. The 20.83% of persons with one or more behavioral health conditions experienced 43.62% (1,972/4,521; 95% CI 42.18%-45.07%) of all diabetes PPHs, and the 7.14% of persons with more than one diagnosed behavioral health condition experienced 24.77% (1,120/4,521; 95% CI 23.54%-26.05%) of all diabetes PPHs. After adjusting for sociodemographic and physical health covariates, patients with depression, schizophrenia, drug or alcohol use disorders, or multiple behavioral health conditions were at significantly increased risk of experiencing at least one diabetes PPH, while patients with depression, drug use disorder, or multiple behavioral health conditions were at significantly increased risk of experiencing recurring diabetes PPHs over time.

Conclusions

A number of behavioral health conditions are associated with diabetes PPHs, which are often preventable with timely, high-quality outpatient care. The results of this study will enable clinicians, payers, and policy-makers to better focus outpatient care interventions and resources within the population of persons with diabetes.

Prevalence of Comorbid Chronic Obstructive Pulmonary Disease in Individuals Suffering from Schizophrenia and Bipolar Disorder: A Systematic Review

The disease burden associated with schizophrenia and bipolar disorder is substantial, with affected individuals having a shorter life expectancy and a high risk of severe physical comorbid conditions. These individuals are more likely to smoke and have a longer smoking history compared to the general population. Furthermore, use of antipsychotic drugs has also been linked to active smoking. Chronic obstructive pulmonary disease (COPD) is a respiratory condition affecting elderly individuals with a long smoking history, so it would be expected that individuals suffering from major mental disorders may exhibit a higher prevalence of COPD compared to the general population. We searched the databases Pubmed and Scopus for observational studies of at least 200 patients including at least one group suffering from schizophrenia or bipolar disorder and a comparison group of individuals at risk of COPD. The initial search, along with the data extraction process and the risk of bias assessment were carried out independently by the two reviewers. Eight studies were included. The risk of bias was substantial as most studies did not adequately address confounding variables. A pooled analysis showed a greater likelihood of suffering from comorbid COPD compared with the general population both for schizophrenic (OR 1.573, 1.439-1.720) and bipolar individuals (OR 1.551, 1.452-1.658). Based on these findings, COPD is more common in individuals suffering from major mental illness compared to the general population. Further research is required to ascertain whether smoking is the only cause and develop strategies for the prevention of COPD in these high-risk groups.

Agreement between primary care and hospital diagnosis of schizophrenia and bipolar disorder: A cross-sectional, observational study using record linkage

People with serious mental illness die 10–25 years sooner than people without these conditions. Multiple challenges to accessing and benefitting from healthcare have been identified amongst this population, including a lack of coordination between mental health services and general health services. It has been identified in other conditions such as diabetes that accurate documentation of diagnosis in the primary care chart is associated with better quality of care. It is suspected that if a patient admitted to the hospital with serious mental illness is then discharged without adequate identification of their diagnosis in the primary care setting, follow up (such as medication management and care coordination) may be more difficult. We identified cohorts of patients with schizophrenia and bipolar disorder who accessed care through the North York Family Health Team (a group of 77 family physicians in Toronto, Canada) and North York General Hospital (a large community hospital) between January 1, 2012 and December 31, 2014. We identified whether labeling for these conditions was concordant between the two settings and explored predictors of concordant labeling. This was a retrospective cross-sectional study using de-identified data from the Health Databank Collaborative, a linked primary care-hospital database. We identified 168 patients with schizophrenia and 370 patients with bipolar disorder. Overall diagnostic concordance between primary care and hospital records was 23.2% for schizophrenia and 15.7% for bipolar disorder. Concordance was higher for those with multiple (2+) inpatient visits (for schizophrenia: OR 2.42; 95% CI 0.64–9.20 and for bipolar disorder: OR 8.38; 95% CI 3.16–22.22). Capture-recapture modeling estimated that 37.4% of patients with schizophrenia (95% CI 20.7–54.1) and 39.6% with bipolar disorder (95% CI 25.7–53.6) had missing labels in both settings when adjusting for patients’ age, sex, income quintiles and co-morbidities. In this sample of patients accessing care at a large family health team and community hospital, concordance of diagnostic information about serious mental illness was low. Interventions should be developed to improve diagnosis and continuity of care across multiple settings.

Incidence Rates and Risk of Hospital Registered Infections among Schizophrenia Patients before and after Onset of Illness: A Population-Based Nationwide Register Study

Infections in schizophrenia patients are associated with an increased premature mortality. However, our knowledge about the burden of infections in schizophrenia is scarce. The aims of this study were to (1) determine the prevalence of clinically important hospital registered infections in the period of five years prior to and five years after the diagnosis, (2) estimate the risk of infections before and after the schizophrenia diagnosis and, (3) evaluate the impact of comorbidity on the risk of infections in schizophrenia. Using combined data from Danish national registers, we sampled a cohort of all persons born in Denmark in the period 1975⁻1990 and obtained health-related records from 1995⁻2013. Occurrence patterns and the risk of infections were measured as annual incidence rates and incidence rates ratios, estimated using Poisson models. Medical conditions from the Charlson Index were considered as a measure of comorbidity. The analyses showed that schizophrenia patients had a significantly elevated risk of almost all types of hospital registered infections during the period of the study when compared to the controls. Comorbidity increased rates of infections by 176%. The results suggest that the risk of infections is elevated in the schizophrenia population and physical illness is an important risk factor.

Health care utilization and cost after discharge from a mental health hospital; an RCT comparing community residential aftercare and treatment as usual

BACKGROUND

Community residential aftercare (step-down) services can ease the transition after a mental health hospital stay for patients with severe mental illness (SMI).

AIMS

To investigate use of community and specialised mental health care services and costs in patients with SMI the first 12 months after discharge from a mental health hospital (MHH), comparing community residential aftercare (CRA) and treatment as usual.

METHODS

An open parallel group randomised controlled trial with 41 participants. Data on use of specialist services (hospital, ambulant treatment and outpatient treatment) and community services (residential stays, home help, home care nursing, mental health consultation) were collected from specialist and community registers and health records.

RESULTS

For the primary outcome, utilisation of community mental health services, the intervention group used, on average, 29% fewer hours (mean differences - 21.6 h, 95% CI -93.1 to 44.9, p = .096) with a cost saving of 29% (mean differences - 1845 EUR, 95% CI -8267 to 4171, p = .102), but the estimates were imprecise. For the secondary outcome, the study groups had the same total number of inpatient days (66 days), but the intervention group had on average of 13.4 fewer inpatient days in the mental health hospital (95% CI -29.9 to 0.9. p = .008). The number of inpatient admissions (mean difference - 0.9 admissions, 95% CI -3.5 to 1.5, p = .224) and readmissions (- 0.8, 95% CI -2.5 to 0.9. p = .440) was lower in the intervention group. The intervention group had on average a total cost saving of 38.5% (mean differences - 23,071 EUR, 95% CI -45,450 to 3027. p = .057). A post hoc multivariable regression analysis controlling for baseline characteristics gave a reduction in total cost in favour of the intervention group of - 19,781 EUR (95% CI -44,072 to 4509, p=,107).

CONCLUSION

In this study, it was not possible to draw a definite conclusion about the effect, due to the small sample and imprecision of the estimates. The direction of the results and size of the point estimate, in addition to findings in other studies, indicates that transferring patients ready for discharge from mental hospital to community residential aftercare can have the potential to reduce total consumption of health services and costs without increased hospital admissions.

TRIAL REGISTRATION

Registered in clinicaltrials.gov ( NCT01719354 ).

[Somatic risks in elderly people with severe psychiatric illnesses]

BACKGROUND

Aged patients with severe mental illness (SMI) suffer from a high risk for functional impairment and a high load of somatic comorbidities. Until now, there has been a lack of systematic studies on this patient population in later life. This review summarizes the most significant somatic comorbidities and discusses the consequences for the medical care of this elderly group of patients.

METHODS

A selective narrative review based on PubMed research and observations in clinical practice.

RESULTS

Life expectancy is shortened by approximately 10 years in patients with SMI. The main reasons are somatic comorbidities, particularly lung and respiratory tract disorders, metabolic syndrome with its subsequent cardiovascular complications, in addition to osteoporosis and fractures with a complicated clinical course. Although life expectancy is shortened, the number of geriatric patients with SMI is increasing and requires special attention to be given to out-patient psychosocial care, self-management of somatic diseases, and to age-appropriate continuation of psychiatric treatment.

CONCLUSION

The life expectancy of patients with SMI is reduced because of their typically somatic comorbidity, but they are reaching increasingly advanced ages as a consequence of improved treatment possibilities. They often require special attention in their diagnostic work-up and support in the management of their treatment. Collaborative care linking medical geriatric and geronto-psychiatric treatment facilities is helpful in the the interdisciplinary therapy required.

Boundary-Spanning Care: Reducing Psychiatric Rehospitalization and Self-Injury in a Jail Population

Individuals with serious mental illness detained in jail may require frequent psychiatric hospitalization due to the destabilizing nature of the jail environment. This study examined the impact of a pilot treatment program involving continuity of patient care across jail and hospital settings aimed at reducing hospitalizations and negative health outcomes for a population of high-risk, incarcerated individuals with mental illness. This study examined rate ratios of psychiatric hospitalizations, injuries, and suicide watches, comparing 15 patients in the treatment program to themselves pretreatment and to a control group of 15 frequently rehospitalized patients. Patients in treatment experienced significant decreases in overall hospitalizations ( p < .001), 15-day rehospitalizations ( p < .002), and suicide watches in jail ( p < .02), compared to themselves pretreatment. A boundary-spanning treatment program lowered hospitalization rates and need for suicide watch for a small, yet clinically complicated and challenging group of patients.

Excess incidence and risk factors for recurrent pneumonia in bipolar disorder

AIM

Patients with bipolar disorder (BD) tend to have poorer outcomes after pneumonia and could have a higher risk for recurrence of pneumonia. We aimed to investigate the incidence and risk factors of recurrent pneumonia in patients with BD.

METHODS

In a nationwide cohort of BD patients (derived from the National Health Insurance Research Database in Taiwan) who were hospitalized for pneumonia between 1996 and 2012, we identified 188 patients who developed recurrent pneumonia after a baseline pneumonia episode. Applying risk-set sampling at a 1:2 ratio, 353 matched controls were selected from the study cohort. We used multivariate conditional logistic regression analysis to explore the association between recurrent pneumonia and physical illness, concomitant medications, and psychotropic drugs.

RESULTS

The findings showed that the incidence of recurrent pneumonia in BD was 6.60 cases per 100 person-years, which was higher than that in the general population. About 10% (9.24%) of cases with recurrent pneumonia died within 30 days of hospitalization. Patients had increased risk of recurrent pneumonia if they had hypertension, diabetes mellitus, cancer, or asthma. Conversely, psychotropic drugs, both first- and second-generation antipsychotics, which are known to increase susceptibility to baseline pneumonia, were not associated with risk of pneumonia recurrence.

CONCLUSION

We found an excess incidence of recurring pneumonia in patients with BD, and this risk was associated with pre-existing medical conditions but not psychotropic agents. Physicians should carefully consider the comorbid medical conditions of patients with BD that could lead to recurrent pneumonia.

The Role of Mental Health Disease in Potentially Preventable Hospitalizations: Findings From a Large State

BACKGROUND

Preventable hospitalizations are markers of potentially low-value care. Addressing the problem requires understanding their contributing factors.

OBJECTIVE

The objective of this study is to determine the correlation between specific mental health diseases and each potentially preventable hospitalization as defined by the Agency for Healthcare Research and Quality.

DESIGN/SUBJECTS

The Texas Inpatient Public Use Data File, an administrative database of all Texas hospital admissions, identified 7,351,476 adult acute care hospitalizations between 2005 and 2008.

MEASURES

A hierarchical multivariable logistic regression model clustered by admitting hospital adjusted for patient and hospital factors and admission date.

RESULTS

A total of 945,280 (12.9%) hospitalizations were potentially preventable, generating $6.3 billion in charges and 1.2 million hospital days per year. Mental health diseases [odds ratio (OR), 1.25; 95% confidence interval (CI), 1.22-1.27] and substance use disorders (OR, 1.13; 95% CI, 1.12-1.13) both increased odds that a hospitalization was potentially preventable. However, each mental health disease varied from increasing or decreasing the odds of potentially preventable hospitalization depending on which of the 12 preventable hospitalization diagnoses were examined. Older age (OR, 3.69; 95% CI, 3.66-3.72 for age above 75 years compared with 18-44 y), black race (OR 1.44; 95% CI, 1.43-1.45 compared to white), being uninsured (OR 1.52; 95% CI, 1.51-1.54) or dual-eligible for both Medicare and Medicaid (OR, 1.23; 95% CI, 1.22-1.24) compared with privately insured, and living in a low-income area (OR, 1.20; 95% CI, 1.17-1.23 for lowest income quartile compared with highest) were other patient factors associated with potentially preventable hospitalizations.

CONCLUSIONS

Better coordination of preventative care for mental health disease may decrease potentially preventable hospitalizations.

Infectious and immunogenetic factors in bipolar disorder

OBJECTIVE

Despite the evidence supporting the association between infection and bipolar disorder (BD), the genetic vulnerability that mediates its effects has yet to be clarified. A genetic origin for the immune imbalance observed in BD, possibly involved in the mechanisms of pathogen escape, has, however, been suggested in recent studies.

METHOD

Here, we present a critical review based on a systematic literature search of articles published until December 2016 on the association between BD and infectious/immunogenetic factors.

RESULTS

We provide evidence suggesting that infectious insults could act as triggers of maladaptive immune responses in BD and that immunogenetic vulnerability may amplify the effects of such environmental risk factors, increasing susceptibility to subsequent environmental encounters. Quality of evidence was generally impaired by scarce attempt of replication, small sample sizes and lack of high-quality environmental measures.

CONCLUSION

Infection has emerged as a potential preventable cause of morbidity in BD, urging the need to better investigate components of the host-pathogen interaction in patients and at-risk subjects, and thus opening the way to novel therapeutic opportunities.

Increased risk of chronic obstructive pulmonary disease in patients with bipolar disorder: A population-based study

BACKGROUND

We conducted this nationwide study to examine the prevalence and incidence of chronic obstructive pulmonary disease (COPD) among patients with bipolar disorder in Taiwan.

METHODS

We used a random sample of 766,427 subjects who were aged ≥18 years in 2005. Patients with at least one primary diagnosis of bipolar disorder were identified. Study participants with one primary or secondary diagnosis of COPD for either ambulatory or inpatient care were also identified. We compared the prevalence of COPD in patients with bipolar disorder and the general population in 2005. In addition, we further investigated this cohort from 2006 to 2010 to detect incident cases of COPD in patients with bipolar disorder compared with the general population. The factors associated with COPD among patients with bipolar disorder were also analyzed.

RESULTS

The prevalence of COPD in patients with bipolar disorder was higher than in the general population in 2005 (5.68% vs. 2.88%, odds ratio 2.03; 95% confidence interval, 1.53-2.67). The average annual incidence of COPD in patients with bipolar disorder was also higher than in the general population (2.03% vs. 1.03%, risk ratio 1.94; 95% confidence interval, 1.65-2.29) from 2006 to 2010.

LIMITATIONS

Some risk factors for COPD such as substance use, obesity, or lifestyle pattern were not available in this study.

CONCLUSIONS

Patients with bipolar disorder had a higher prevalence and incidence of COPD compared with the general population. Higher prevalence of COPD among bipolar patients was associated with increased age, males, hypertension, and second-generation antidepressant use.

Quality of Care and Outcomes of Heart Failure Among Patients With Schizophrenia in Denmark

Research on the association between schizophrenia and the quality of care and clinical outcomes of heart failure (HF) remains sparse. This nationwide study compared the quality of care and clinical outcomes of HF among Danish patients with and without schizophrenia. In a population-based cohort study, we identified 36,718 patients with incident HF with hospital contacts, including 108 with schizophrenia, using Danish registries between 2004 and 2013. High quality of HF care was defined as receiving ≥ 80% guideline-recommended process-performance measures of care. Potential predictors of HF care among patients with schizophrenia included patient-specific factors (age, gender, Global Assessment of Functioning [GAF] score, alcohol or drug abuse, duration of schizophrenia); provider-specific factors (quality of schizophrenia care); and system-specific factors (patient-volume defined as hospital departments and clinics yearly average patient-volume of patients with incident HF). Clinical outcomes included 4-week all-cause readmission and 1-year all-cause mortality after a first-time hospital contact with incident HF. Results showed that compared with patients with incident HF who have no schizophrenia, patients with incident HF who have schizophrenia had a lower chance of receiving high-quality HF care (relative risk 0.66, 95% confidence interval 0.48 to 0.91). A high GAF score was associated with a higher chance of receiving high-quality HF care among patients with incident HF who have schizophrenia. Patients with incident HF who have schizophrenia had a higher risk of 1-year mortality (adjusted hazard ratio 2.83, 95% confidence interval 1.59 to 5.04), but not a higher risk of readmission than patients with incident HF who have no schizophrenia. In conclusion, efforts are warranted to reduce the high mortality among patients with incident HF who have schizophrenia.

Hospitalizations for asthma among adults exposed to the September 11, 2001 World Trade Center terrorist attack

OBJECTIVE

We described the patterns of asthma hospitalization among persons exposed to the 2001 World Trade Center (WTC) attacks, and assessed whether 9/11-related exposures or comorbidities, including posttraumatic stress disorder (PTSD) and gastroesophageal reflux symptoms (GERS), were associated with an increased rate of hospitalization.

METHODS

Data for adult enrollees in the WTC Health Registry, a prospective cohort study, with self-reported physician-diagnosed asthma who resided in New York State on 9/11 were linked to administrative hospitalization data to identify asthma hospitalizations during September 11, 2001-December 31, 2010. Multivariable zero-inflated Poisson regression was used to examine associations among 9/11 exposures, comorbid conditions, and asthma hospitalizations.

RESULTS

Of 11 471 enrollees with asthma, 406 (3.5%) had ≥1 asthma hospitalization during the study period (721 total hospitalizations). Among enrollees diagnosed before 9/11 (n = 6319), those with PTSD or GERS had over twice the rate of hospitalization (adjusted rate ratio (ARR) = 2.5, 95% CI = 1.4-4.1; ARR = 2.1, 95% CI = 1.3-3.2, respectively) compared to those without. This association was not statistically significant in enrollees diagnosed after 9/11. Compared to higher educational attainment, completing less than college was associated with an increased hospitalization rate among participants with both pre-9/11- and post-9/11-onset asthma (ARR = 1.9, 95% CI = 1.2-2.9; ARR = 2.6, 95% CI = 1.6-4.1, respectively). Sinus symptoms, exposure to the dust cloud, and having been a WTC responder were not associated with asthma hospitalization.

CONCLUSIONS

Among enrollees with pre-9/11 asthma, comorbid PTSD and GERS were associated with an increase in asthma hospitalizations. Management of these comorbidities may be an important factor in preventing hospitalization.

Prevalence, incidence and mortality from cardiovascular disease in patients with pooled and specific severe mental illness: a large-scale meta-analysis of 3,211,768 patients and 113,383,368 controls

People with severe mental illness (SMI) - schizophrenia, bipolar disorder and major depressive disorder - appear at risk for cardiovascular disease (CVD), but a comprehensive meta-analysis is lacking. We conducted a large-scale meta-analysis assessing the prevalence and incidence of CVD; coronary heart disease; stroke, transient ischemic attack or cerebrovascular disease; congestive heart failure; peripheral vascular disease; and CVD-related death in SMI patients (N=3,211,768) versus controls (N=113,383,368) (92 studies). The pooled CVD prevalence in SMI patients (mean age 50 years) was 9.9% (95% CI: 7.4-13.3). Adjusting for a median of seven confounders, patients had significantly higher odds of CVD versus controls in cross-sectional studies (odds ratio, OR=1.53, 95% CI: 1.27-1.83; 11 studies), and higher odds of coronary heart disease (OR=1.51, 95% CI: 1.47-1.55) and cerebrovascular disease (OR=1.42, 95% CI: 1.21-1.66). People with major depressive disorder were at increased risk for coronary heart disease, while those with schizophrenia were at increased risk for coronary heart disease, cerebrovascular disease and congestive heart failure. Cumulative CVD incidence in SMI patients was 3.6% (95% CI: 2.7-5.3) during a median follow-up of 8.4 years (range 1.8-30.0). Adjusting for a median of six confounders, SMI patients had significantly higher CVD incidence than controls in longitudinal studies (hazard ratio, HR=1.78, 95% CI: 1.60-1.98; 31 studies). The incidence was also higher for coronary heart disease (HR=1.54, 95% CI: 1.30-1.82), cerebrovascular disease (HR=1.64, 95% CI: 1.26-2.14), congestive heart failure (HR=2.10, 95% CI: 1.64-2.70), and CVD-related death (HR=1.85, 95% CI: 1.53-2.24). People with major depressive disorder, bipolar disorder and schizophrenia were all at increased risk of CVD-related death versus controls. CVD incidence increased with antipsychotic use (p=0.008), higher body mass index (p=0.008) and higher baseline CVD prevalence (p=0.03) in patients vs.

CONTROLS

Moreover, CVD prevalence (p=0.007), but not CVD incidence (p=0.21), increased in more recently conducted studies. This large-scale meta-analysis confirms that SMI patients have significantly increased risk of CVD and CVD-related mortality, and that elevated body mass index, antipsychotic use, and CVD screening and management require urgent clinical attention.

Perceived Stress, Multimorbidity, and Risk for Hospitalizations for Ambulatory Care-sensitive Conditions: A Population-based Cohort Study

BACKGROUND

Psychiatric disorders are associated with an increased risk for ambulatory care-sensitive condition (ACSC)-related hospitalizations, but it remains unknown whether this holds for individuals with nonsyndromic stress that is more prevalent in the general population.

OBJECTIVES

To determine whether perceived stress is associated with ACSC-related hospitalizations and rehospitalizations, and posthospitalization 30-day mortality.

RESEARCH DESIGN AND MEASURES

Population-based cohort study with 118,410 participants from the Danish National Health Survey 2010, which included data on Cohen's Perceived Stress Scale, followed from 2010 to 2014, combined with individual-level national register data on hospitalizations and mortality. Multimorbidity was assessed using health register information on diagnoses and drug prescriptions within 39 condition categories.

RESULTS

Being in the highest perceived stress quintile was associated with a 2.13-times higher ACSC-related hospitalization risk (95% CI, 1.91, 2.38) versus being in the lowest stress quintile after adjusting for age, sex, follow-up time, and predisposing conditions. The associated risk attenuated to 1.48 (95% CI, 1.32, 1.67) after fully adjusting for multimorbidity and socioeconomic factors. Individuals with above reference stress levels experienced 1703 excess ACSC-related hospitalizations (18% of all). A dose-response relationship was observed between perceived stress and the ACSC-related hospitalization rate regardless of multimorbidity status. Being in the highest stress quintile was associated with a 1.26-times insignificantly increased adjusted risk (95% CI, 0.79, 2.00) for ACSC rehospitalizations and a 1.43-times increased adjusted risk (95% CI, 1.13, 1.81) of mortality within 30 days of admission.

CONCLUSIONS

Elevated perceived stress levels are associated with increased risk for ACSC-related hospitalization and poor short-term prognosis.

Do Patients with Pre-Existing Psychiatric Illness Have an Increased Risk of Infection after Injury?

BACKGROUND

Trauma remains a leading cause of death and long term-morbidity. We have shown that patients who sustain traumatic injuries are at increased risk for the development of infectious complications. Psychiatric illnesses (PIs) are also noted to occur frequently among the general population. The presence of a PI has been shown to be a risk factor for the development of infections. Despite the prevalence of both traumatic injuries and psychiatric diseases, there are little data relating the impact of PI on the outcome of patients with trauma. We hypothesize that the presence of a PI will be associated with an increased risk of an infection developing after injury.

PATIENTS AND METHODS

This is a five year retrospective chart review of all admitted patients with trauma age 18 years and older. Patients with and without a major psychiatric illness were compared. Demographic data, mechanism of injury and Injury Severity Score (ISS) were reviewed. Co-morbidities included diabetes mellitus, obesity, pre-injury steroid use, and International Classification of Diseases, 9th edition, based psychiatric illness. All infections were diagnosed by microbiologic criteria (urinary tract infection [UTI], ventilator-associated pneumonia) or Centers for Disease Control and Prevention criteria for clinically evident infections (surgical site infection).

RESULTS

Of the 11,147 admitted trauma patients, 14.5% had a pre-injury PI diagnosis. The PI patients were older (61.5 ± 0.5 vs. 54.3; p < 0.001), more often female (56% vs. 39.1%; p < 0.001), and had no difference in blunt mechanism rates (88.4% vs. 89.9%; p = 0.06) or median ISS (9 vs. 9; p = 0.06). There was no difference between PI and non-PI patients in pre-injury diabetes mellitus (13.4% vs. 12.7%; p = 0.4), steroid use (2.5% vs. 1.9%; p = 0.1), but patients with PI were more likely to be obese (15.7% vs. 13.6%; p = 0.03). Patients with PI were more likely to have an infection develop (10.4% vs. 7.5%; p < 0.001). The most common infection in both groups was UTI (6.9% vs. 4.2%; p < 0.001). Compared with non-PI patients, adjusting for age, gender, ISS, diabetes mellitus, and obesity, patients with PI were more likely to have an infection develop (odds ratio 1.3, 95% confidence interval = 1.1-1.5) Conclusions: Patients with an underlying PI are at increased risk of having a UTI after traumatic injury. This study identifies a previously unknown independent risk factor for UTIs in patients with trauma. This stresses the need for increased awareness and attention to this vulnerable population.

Bipolar disorder and diabetes mellitus: evidence for disease-modifying effects and treatment implications

BACKGROUND

Bipolar disorder refers to a group of chronic psychiatric disorders of mood and energy levels. While dramatic psychiatric symptoms dominate the acute phase of the diseases, the chronic course is often determined by an increasing burden of co-occurring medical conditions. High rates of diabetes mellitus in patients with bipolar disorder are particularly striking, yet unexplained. Treatment and lifestyle factors could play a significant role, and some studies also suggest shared pathophysiology and risk factors.

OBJECTIVE

In this systematic literature review, we explored data around the relationship between bipolar disorder and diabetes mellitus in recently published population-based cohort studies with special focus on the elderly.

METHODS

A systematic search in the PubMed database for the combined terms "bipolar disorder" AND "elderly" AND "diabetes" in papers published between January 2009 and December 2015 revealed 117 publications; 7 studies were large cohort studies, and therefore, were included in our review.

RESULTS

We found that age- and gender- adjusted risk for diabetes mellitus was increased in patients with bipolar disorder and vice versa (odds ratio range between 1.7 and 3.2).

DISCUSSION

Our results in large population-based cohort studies are consistent with the results of smaller studies and chart reviews. Even though it is likely that heterogeneous risk factors may play a role in diabetes mellitus and in bipolar disorder, growing evidence from cell culture experiments and animal studies suggests shared disease mechanisms. Furthermore, disease-modifying effects of bipolar disorder and diabetes mellitus on each other appear to be substantial, impacting both treatment response and outcomes.

CONCLUSIONS

The risk of diabetes mellitus in patients with bipolar disorder is increased. Our findings add to the growing literature on this topic. Increasing evidence for shared disease mechanisms suggests new disease models that could explain the results of our study. A better understanding of the complex relationship between bipolar disorder and diabetes mellitus could lead to novel therapeutic approaches and improved outcomes.

Examining the impact of comorbid serious mental illness on rehospitalization among medical and surgical inpatients

OBJECTIVE

Multiple barriers to quality health care may affect the outcomes of postacute treatment for individuals with serious mental illness (SMI). This study examined rehospitalization for medical and surgical inpatients with and without a comorbid diagnosis of SMI which included psychotic disorders, bipolar disorder and major depression.

METHODS

We examined hospital discharge records for medical and surgical inpatients from a large urban health system. Descriptive statistics and logistic regression models compared 7-, 30-, 60-, 90- and 180-day rehospitalization among medical and surgical inpatients with SMI (n=3221) and without an SMI diagnosis (n=70,858).

RESULTS

Within 6 months following discharge, hospitalized medical patients without an SMI diagnosis (34.3%) and with an SMI diagnosis (43.4%) were rehospitalized (P<.001), while surgical patients without an SMI diagnosis (20.3%) and with an SMI diagnosis (30.0%) were rehospitalized (P<.001). Odds of rehospitalization among medical patients were 1.5 to 2.4 times higher for those with an SMI diagnosis compared to those without an SMI diagnosis (P<.001).

CONCLUSIONS

Medical patients with a comorbid psychotic or major mood disorder diagnosis have an increased likelihood of a medical rehospitalization as compared to those without a comorbid SMI diagnosis. These findings support prior literature and suggest the importance of identifying targeted interventions aimed at lowering the likelihood of rehospitalization among inpatients with a comorbid SMI diagnosis.

Ambulatory Care Sensitive Hospitalizations among Medicaid Beneficiaries with Chronic Conditions

OBJECTIVES

This study examined the relationship between ambulatory care sensitive hospitalizations (ACSH) and patient-level and county-level variables.

METHODS

Utilizing a retrospective cohort approach, multi-state Medicaid claims data from 2007-2008 was used to examine ACSH at baseline and follow-up periods. The study cohort consisted of adult, non-elderly Medicaid beneficiaries with chronic physical conditions, who were continuously enrolled in fee-for-service programs, not enrolled in Medicare, and did not die during the study period (N=7,021). The dependent variable, ACSH, was calculated in the follow-up year using an algorithm from the Agency for Healthcare Research and Quality algorithm. Patient-level (demographic, health status, continuity of care) and county-level (density of healthcare providers and facilities, socio-economic characteristics, local economic conditions) factors were included as independent variables. Multivariable logistic regression models were used to examine the relationship between ACSH and independent variables.

RESULTS

In this study population, 8.2% had an ACSH. African-Americans were more likely to have an ACSH [AOR=1.55, 95% CI 1.16, 2.07] than Caucasians. Adults with schizophrenia were more likely to have an ACSH, compared to those without schizophrenia [AOR=1.54, 95% CI 1.16, 2.04]. Residents in counties with a higher number of community mental health centers [AOR=0.88, 95% CI 0.80, 0.97] and rural health centers [AOR=0.98, 95% CI 0.95, 0.99] were less likely to have an ASCH.

CONCLUSIONS

Programs and interventions designed to reduce the risk of ACSH may be needed to target specific population subgroups and improve healthcare infrastructure.