Depressive symptoms are associated with higher rates of readmission or mortality after medical hospitalization: A systematic review and meta-analysis

Symptoms of depression and risk of emergency department visits among people aged 70 years and over

BACKGROUND

Older people experiencing depression and anxiety have higher rates of health service utilisation than others, but little is known about whether these influence their seeking of emergency care. The aim was to examine the associations between symptoms of depression and the use of emergency health care, in an Australian context, among a population of people aged 70 years and over initially free of cardiovascular disease, dementia or major physical disability.

METHODS

We undertook secondary analyses of data from a large cohort of community-dwelling Australians aged [Formula: see text]70 years. Multivariable logistic regression was used to compare the association of symptoms of depression (measured using the Center for Epidemiological Studies Depression Scale 10 question version, CESD at baseline) with subsequent episodes of emergency care, adjusting for physical and social factors of clinical interest. Marginal adjusted odds ratios were calculated from the logistic regression.

RESULTS

Data were available for 10,837 Australian participants aged at least 70 years. In a follow-up assessment three years after the baseline assessment, 17.6% of people self-reported an episode of emergency care (attended an ED of called an emergency ambulance) in the last 12 months. Use of emergency healthcare was similar for men and women (17.8% vs. 17.4% p = 0.61). A score above the cut-off on the CESD at baseline was associated with greater use of emergency health care (OR = 1.35, 95% CI 1.11,1.64). When modelled separately, there was a greater association between a score above the cut-off on the CESD and emergency healthcare for women compared with men.

CONCLUSIONS

This study is unique in demonstrating how depressive symptoms among healthy older persons are associated with subsequent increased use of emergency healthcare. Improved understanding and monitoring of mental health in primary care is essential to undertake effective healthcare planning including prevention of needing emergency care.

Family Support During Hospitalization Buffers Depressive Symptoms Among Independent Older Adults

OBJECTIVES

Hospitalization is a stressful event that may lead to deterioration in older adults' mental health. Drawing on the stress-buffering hypothesis, we examined whether family support during hospitalization would moderate the relations between level of independence and in-hospital depressive symptoms.

METHOD

This research was a secondary analysis of a cohort study conducted with a sample of 370 hospitalized older adults. Acutely ill older adults reported their level of independence at time of hospitalization and their level of depressive symptoms three days into the hospital stay. Family support was estimated by a daily report of hours family members stayed with the hospitalized older adult.

RESULTS

Independent older adults whose family members stayed longer hours in the hospital had fewer depressive symptoms than independent older adults with shorter family visits. Relations between depressive symptoms and family support were not apparent for dependent older adults, even though their family members stayed more hours.

CONCLUSIONS

This study partially supports the stress-buffering hypothesis, in that social support ameliorated depressive symptoms among hospitalized independent older adults.

CLINICAL IMPLICATIONS

Assessing depressive symptoms and functional ability and creating an environment conducive to family support for older adults may be beneficial to hospitalized older adults' mental health.

Palliative Care Use in Advanced Cancer in the Garden State

BACKGROUND

Cancer is the second leading cause of death in the United States. Patients with metastatic cancer have a high symptom burden. Major global and domestic cancer care recommendations advise integration of palliative care services for these patients. Palliative care is specialized care that can decrease cost, improve symptom burden, and improve quality of life. Patient factors driving the use of palliative care remain poorly understood but may include both physiological and psychological needs, namely, pain and depression, respectively.

OBJECTIVE

The objective of this study was to identify patient-level predictors associated with inpatient palliative care use in patients with metastatic cancer.

METHODS

This was a secondary analysis of the 2018 New Jersey State Inpatient Database. The sample was limited to hospitalized adults with metastatic cancer in New Jersey. Descriptive statistics characterized the sample. Generalized linear modeling estimated the effects of pain and depression on the use of inpatient palliative care.

RESULTS

The sample included 28 697 hospitalizations for patients with metastatic cancer. Within the sample, 4429 (15.4%) included a palliative care consultation. There was a 9.3% documented occurrence of pain and a 10.9% rate of depression. Pain contributed to palliative care use, but depression was not predictive of an inpatient care consultation. Age, income category, and insurance status were significant factors influencing use.

CONCLUSION

Understanding demographic and clinical variables relative to palliative care use may help facilitate access to palliative care for adults experiencing metastatic cancer.

IMPLICATION FOR PRACTICE

Increased screening for pain and depression may expand palliative care use for adults with metastatic cancer receiving inpatient care.

Social frailty as a predictor of adverse outcomes among older adults: a systematic review and meta-analysis

BACKGROUND

With the aging of the population, frailty has attracted much attention, and the social dimension of frailty, namely social frailty, has also attracted attention. Studies have shown that social frailty can bring some adverse effects to the elderly, such as physical and cognitive function.

AIMS

To explore the risk of adverse health outcomes in older adults with social frailty compared with older adults with non-social frailty.

METHODS

Five databases were systematically searched from inception to February 28, 2023. Screening, data extraction and quality assessment were conducted independently by two researchers. The included studies were longitudinal studies of adverse outcomes in community-dwelling socially frail older adults, and the quality of each study was assessed using the Newcastle‒Ottawa Scale.

RESULTS

A total of 15 studies were included based on the inclusion criteria, of which 4 were subjected to meta-analysis. The mean age of the included population ranged from 66.3 to 86.5 years. According to existing research, social frailty was predictive of some adverse outcomes, such as incident disability, depressive symptoms, and reduced neuropsychological function. The meta-analysis showed that social frailty had a significant predictive effect on mortality among older adults [HR = 2.27, (95% CI = 1.03-5.00)].

CONCLUSION

In community-dwelling older adults, social frailty was a predictor of mortality, incident disability, depressive symptoms and other adverse outcomes. Social frailty had a negative impact on older adults, so it was necessary to strengthen the screening of social frailty to reduce the incidence of adverse outcomes.

Psychotherapy for comorbid depression and somatic disorders: a systematic review and meta-analysis

BACKGROUND

The treatment of depression in patients with somatic disorders is crucial, given its negative impact on quality of life (QoL), functioning, and even on the somatic disease prognosis. We aimed to examine the most updated evidence on the effects of psychotherapy in patients with depression and somatic disorders, including HIV, oncological, cardiometabolic, and neurological disorders.

METHODS

We conducted a meta-analysis of 75 randomized trials (8209 participants) of psychotherapy for adults with somatic disorders and a diagnosis or elevated symptoms of depression. Outcomes included depression, QoL, somatic health-related outcomes, and mortality.

RESULTS

Psychotherapy significantly reduced the severity of depression at post-treatment across all categories of somatic disorders (Hedges'g = 0.65; 95% CI 0.52-0.79), with sustained effects at 6-11 months (g = 0.38; 95% CI 0.22-0.53) and at 12 months follow-up or longer (g = 0.13; 95% CI 0.04-0.21). Psychotherapy also showed significant effects on QoL (g = 0.26; 95% CI 0.17-0.35), maintained up to 11 months follow-up (g = 0.25; 95% CI 0.16-0.34). No significant effects were observed on the most frequently reported somatic health-related outcomes (glycemic control, pain), and neither on mortality. Heterogeneity in most analyses was very high, and only 29 (38%) trials were rated at low risk of bias (RoB).

CONCLUSIONS

Psychotherapy may be an effective treatment option for patients with depression and somatic disorders, with long-term effects on depression severity and QoL. However, these results should be interpreted with caution due to heterogeneity and RoB.

Antidepressants for the treatment of depression in people with cancer

BACKGROUND

Major depression and other depressive conditions are common in people with cancer. These conditions are not easily detectable in clinical practice, due to the overlap between medical and psychiatric symptoms, as described by diagnostic manuals such as the Diagnostic and Statistical Manual of Mental Disorders (DSM) and International Classification of Diseases (ICD). Moreover, it is particularly challenging to distinguish between pathological and normal reactions to such a severe illness. Depressive symptoms, even in subthreshold manifestations, have a negative impact in terms of quality of life, compliance with anticancer treatment, suicide risk and possibly the mortality rate for the cancer itself. Randomised controlled trials (RCTs) on the efficacy, tolerability and acceptability of antidepressants in this population are few and often report conflicting results.

OBJECTIVES

To evaluate the efficacy, tolerability and acceptability of antidepressants for treating depressive symptoms in adults (aged 18 years or older) with cancer (any site and stage).

SEARCH METHODS

We used standard, extensive Cochrane search methods. The latest search date was November 2022.

SELECTION CRITERIA

We included RCTs comparing antidepressants versus placebo, or antidepressants versus other antidepressants, in adults (aged 18 years or above) with any primary diagnosis of cancer and depression (including major depressive disorder, adjustment disorder, dysthymic disorder or depressive symptoms in the absence of a formal diagnosis).

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methods. Our primary outcome was 1. efficacy as a continuous outcome. Our secondary outcomes were 2. efficacy as a dichotomous outcome, 3. Social adjustment, 4. health-related quality of life and 5. dropouts. We used GRADE to assess certainty of evidence for each outcome.

MAIN RESULTS

We identified 14 studies (1364 participants), 10 of which contributed to the meta-analysis for the primary outcome. Six of these compared antidepressants and placebo, three compared two antidepressants, and one three-armed study compared two antidepressants and placebo. In this update, we included four additional studies, three of which contributed data for the primary outcome. For acute-phase treatment response (six to 12 weeks), antidepressants may reduce depressive symptoms when compared with placebo, even though the evidence is very uncertain. This was true when depressive symptoms were measured as a continuous outcome (standardised mean difference (SMD) -0.52, 95% confidence interval (CI) -0.92 to -0.12; 7 studies, 511 participants; very low-certainty evidence) and when measured as a proportion of people who had depression at the end of the study (risk ratio (RR) 0.74, 95% CI 0.57 to 0.96; 5 studies, 662 participants; very low-certainty evidence). No studies reported data on follow-up response (more than 12 weeks). In head-to-head comparisons, we retrieved data for selective serotonin reuptake inhibitors (SSRIs) versus tricyclic antidepressants (TCAs) and for mirtazapine versus TCAs. There was no difference between the various classes of antidepressants (continuous outcome: SSRI versus TCA: SMD -0.08, 95% CI -0.34 to 0.18; 3 studies, 237 participants; very low-certainty evidence; mirtazapine versus TCA: SMD -4.80, 95% CI -9.70 to 0.10; 1 study, 25 participants). There was a potential beneficial effect of antidepressants versus placebo for the secondary efficacy outcomes (continuous outcome, response at one to four weeks; very low-certainty evidence). There were no differences for these outcomes when comparing two different classes of antidepressants, even though the evidence was very uncertain. In terms of dropouts due to any cause, we found no difference between antidepressants compared with placebo (RR 0.85, 95% CI 0.52 to 1.38; 9 studies, 889 participants; very low-certainty evidence), and between SSRIs and TCAs (RR 0.83, 95% CI 0.53 to 1.22; 3 studies, 237 participants). We downgraded the certainty of the evidence because of the heterogeneous quality of the studies, imprecision arising from small sample sizes and wide CIs, and inconsistency due to statistical or clinical heterogeneity.

AUTHORS' CONCLUSIONS

Despite the impact of depression on people with cancer, the available studies were few and of low quality. This review found a potential beneficial effect of antidepressants against placebo in depressed participants with cancer. However, the certainty of evidence is very low and, on the basis of these results, it is difficult to draw clear implications for practice. The use of antidepressants in people with cancer should be considered on an individual basis and, considering the lack of head-to-head data, the choice of which drug to prescribe may be based on the data on antidepressant efficacy in the general population of people with major depression, also taking into account that data on people with other serious medical conditions suggest a positive safety profile for the SSRIs. Furthermore, this update shows that the usage of the newly US Food and Drug Administration-approved antidepressant esketamine in its intravenous formulation might represent a potential treatment for this specific population of people, since it can be used both as an anaesthetic and an antidepressant. However, data are too inconclusive and further studies are needed. We conclude that to better inform clinical practice, there is an urgent need for large, simple, randomised, pragmatic trials comparing commonly used antidepressants versus placebo in people with cancer who have depressive symptoms, with or without a formal diagnosis of a depressive disorder.

Biomarker opportunities in the treatment of cancer-related depression

Depression comorbid with cancer is common and associated with a host of negative health outcomes. The inflammatory basis of depression is a growing area of research in cancer, focused on how stressors transduce into inflammation and contribute to the emergence of depression. In this review, we synthesize inflammatory biomarker associations with both depression and the currently available pharmacotherapies and psychotherapies in cancer, underscoring the need for expanding research on anti-inflammatory agents with antidepressant effects. Modulation of inflammatory neuroimmune pathways can slow tumor progression and reduce metastases. Biomarkers associated with depression in cancer may help with diagnosis and treatment monitoring, as well as inform research on novel drug targets to potentially improve cancer survival.

Association of Function, Symptoms, and Social Support Reported in Standardized Outpatient Clinic Questionnaires With Subsequent Hospital Discharge Disposition and 30-Day Readmissions

OBJECTIVE

To determine whether patient-reported information, routinely collected in an outpatient setting, is associated with readmission within 30 days of discharge and/or the need for post-acute care after a subsequent hospital admission.

DESIGN

Retrospective cohort study. Six domains of patient-reported information collected in the outpatient setting (psychological distress, respiratory symptoms, musculoskeletal pain, family support, mobility, and activities of daily living [ADLs]) were linked to electronic health record hospitalization data. Mixed effects logistic regression models with random intercepts were used to identify the association between the 6 domains and outcomes.

SETTING

Outpatient clinics and hospitals in a Midwestern health system.

PARTICIPANTS

7671 patients who were hospitalized 11,445 times between May 2004 and May 2014 (N=7671).

INTERVENTION

None.

MAIN OUTCOME MEASURES

30-day hospital readmission and discharge home vs facility.

RESULTS

Domains were significantly associated with 30-day readmission and placement in a facility. Specifically, mobility (odds ratio [OR]=1.30; 95% confidence interval [CI], 1.16, 1.46), ADLs (OR=1.27; 95% CI, 1.13, 1.42), respiratory symptoms (OR=1.26; 95% CI, 1.12, 1.41), and psychological distress (OR=1.20; 95% CI, 1.07, 1.35) had the strongest associations with 30-day readmission. The ADL (OR=2.52; 95% CI, 2.26, 2.81), mobility (OR=2.35; 95% CI, 2.10, 2.63), family support (OR=2.28; 95% CI, 1.98, 2.62), and psychological distress (OR=1.38; 95% CI, 1.25, 1.52) domains had the strongest associations with discharge to an institution.

CONCLUSIONS

Patient-reported function, symptoms, and social support routinely collected in outpatient clinics are associated with future 30-day readmission and discharge to an institutional setting. Whether these data can be leveraged to guide interventions to address patient needs and improve outcomes requires further research.

The Prevalence of Psychiatric Disorders in General Hospital Inpatients: A Systematic Umbrella Review

BACKGROUND

To inform the future development of consultation-liaison psychiatry services, we need accurate information on the prevalence of psychiatric disorders in the general hospital inpatient setting. Systematic reviews have summarized the literature on specific aspects of this broad topic, but there has been no high-level overview that aggregates their findings and identifies gaps in the relevant literature.

OBJECTIVE

We aimed to produce a comprehensive overview of the field, summarizing the research literature on the prevalence of psychiatric disorders (i.e., interview-based psychiatric diagnoses) in general hospital inpatients. We did this using a systematic umbrella review (systematic review of systematic reviews), which is the best and most efficient method for summarizing a broad area of research.

METHODS

We searched Ovid Medline, Ovid Embase, Ovid PsycINFO, EBSCO CINAHL, and Scopus from database inception to September 2021 for systematic reviews that provided a pooled prevalence estimate, or prevalence range, for interview-diagnosed psychiatric disorders in general hospital inpatients. Two reviewers independently assessed articles and extracted data. The review is registered with PROSPERO, number CRD42019125574.

RESULTS

We screened 11,728 articles and included 10 systematic reviews in our umbrella review. We were able to extract pooled prevalence estimates from these as follows: major depression 12% to 20%, any anxiety disorder 8%, generalized anxiety disorder 5%, panic disorder 3%, delirium 15%. We were only able to extract a prevalence range for dementia, which was 3% to 63%. We found no systematic reviews from which we could extract prevalence data for the other psychiatric disorders that we included in our searches, indicating important gaps. From these data, we estimated that approximately one-third of inpatients have a psychiatric disorder.

CONCLUSIONS

Psychiatric disorders are very common in general hospital inpatients. While the planning of consultation-liaison psychiatry services will benefit from more research on the prevalence of each of the full range of disorders encountered in the inpatient setting, our findings indicate that we already know enough to justify increased and more population-based service provision.

Optimising the discharge process in internal medicine in Québec: A qualitative interpretive descriptive study to understand the challenges faced by healthcare professionals

Optimising the discharge process for internal medicine programs is a challenge given multiple social and practical constraints in transitions from hospital to home. The objective of this study is to explore healthcare professionals' perspectives on discharge processes in internal medicine within a context of organisational reform. This is an interpretive descriptive qualitative study using in-depth individual interviews with healthcare providers. Seventeen semi-structured interviews were conducted. The study comprised a sample of 18 healthcare professionals working on two internal medicine wards in an acute care teaching hospital in Quebec. A conceptual framework comprising core aspects of the discharge process (planning, coordination, teaching and outcomes) guided data collection and analysis. Thematic analysis was applied to analyse the data. Major themes were developed by contrasting empirical data and the conceptual framework. Five themes were developed (1) Iterative discharge planning; (2) Patient and family engagement in discharge planning and discharge readiness, (3) Lack of time for discharge teaching, (4) Discharge coordination and the placement of patients and (5) Inequitable social support and resources and risk of readmission. This study highlights the inter-relationship between discharge readiness and phases of the discharge process, in particular planning and coordination. Iterative planning along with strategies to coordinate discharge constitute efforts to ensure flexible processes that respond to patients' needs and preferences. Challenges persist for healthcare professionals regarding autonomy and resources, along with reduced opportunities for patient and family engagement in decision-making.

Regional well-being inequalities arising from healthcare expenditure public policies in Spain

Well-being inequalities arising from different healthcare expenditure public policies is currently a hot topic at a national scale, but especially so at a sub-national level because the inequalities in question are among citizens of the same country. Spain is an optimal study area to carry out research on this topic because it is considered to have one of the best health systems in the world, it is one of the top-ranking countries in terms of life expectancy rates (the indicators we use for well-being), and it has a decentralized public health system with significantly different regional healthcare expenditure public policies. Given that the factors involved in the complex direct, indirect, and second-order relationships between well-being and health spending are latent in nature, and that there are more hypotheses than certainties regarding these relationships, we propose a partial least squares structural equation modeling specification to test the research hypotheses and to estimate the corresponding impacts. These constructs are proxied by a set of 26 indicators, for which annual values at a regional scale were used for the period 2005-2018. From the estimation of this model, it can be concluded that mortality, expenditure and resources are the factors that have the greatest impact on well-being. In addition, a cluster analysis of the indicators for the constructs included in this research reveals the existence of three clearly differentiated groups of autonomous communities: the northern part of the country plus Extremadura (characterized by the lowest well-being and the highest mortality rates), Madrid (with the best results in well-being and mortality, the lowest public health expenditure per inhabitant and percentage of pharmaceutical spending, and the highest percentage in specialty care services and medical staff spending), and the rest of the country (south-eastern regions, with similar well-being values to those of the first group but with less health expenditure). Finally, a principal component analysis reveals that "healthiness" and "basic spending" are the optimal factors for mapping well-being and health spending in Spain.

Relationship between Psychological Distress and Demographic Characteristics among Patients Undergoing Coronary Artery Bypass Graft (CABG) Surgery

Coronary artery bypass graft (CABG) surgery patients often present with anxiety and depression. These symptoms coupled with pain are major concerns and are widely reported among CABG patients. The study aimed to evaluate the relationship between psychological distress and patients’ demographic data. This cross-sectional study in which 178 patients from a surgery ward were selected using the census method. Data were collected using the Hospital Anxiety and Depression Scale and the Brief Pain Inventory (Short Form). The participants’ mean age was 57.49 ± 13.78 years. The majority of participants had a moderate level of anxiety (89.3%) and a moderate level of pain interference (74.7%). Significant differences were noted, with a higher proportion of moderate anxiety level participants aged between 60 and 74 years old, married, and with a tertiary level education (p < 0.05) being found. There were also significant differences between gender (p < 0.05) and pain severity (p < 0.01) across the levels of depression. The levels of anxiety, depression, and pain were significant, especially among older patients. These symptoms should be routinely assessed, and further identification of predictors such as socioeconomic status before the procedure is necessary.

Depressive Symptoms and Healthcare Utilization in Late Life. Longitudinal Evidence From the AgeMooDe Study

Objective

The aim of this study was to investigate the longitudinal impact of depressive symptoms on utilization of healthcare in terms of GP visits as well as specialist visits and hospital admission in late life among community-dwelling individuals.

Methods

Longitudinal data (baseline and follow-up) were derived from the German multicentre, prospective cohort study “Late-life depression in primary care: needs, health care utilization and costs” study (AgeMooDe). At baseline, n = 1,230 patients aged 75 years and older were recruited from primary care practices. Main outcomes of interest were use of health care services: the number of GP visits, the number of medical specialist visits, and hospital admission. We used the Geriatric Depression Scale (GDS-15) to measure depression. Outcomes were analyzed with multilevel random intercept negative binominal regression and logistic random-effects models.

Results

At baseline (n = 1,191), mean age was 80.7 (SD 4.6) years, 62.9% were female, and 196 individuals (16.5%) had depression (GDS-15 ≥6). Our longitudinal analyses indicated that older individuals with more depressive symptoms visited their GP more often (IRR=1.03; CI [1.01-1.04], p &lt; 0.001), were visiting medical specialists more frequently (IRR=1.03; CI [1.01-1.04], p &lt; 0.01), and had higher odds of being hospitalized (OR=1.08; CI [1.02-1.13], p &lt; 0.01).

Conclusions

Based on this large longitudinal study we showed that, after adjustment for important covariates, older individuals with more depressive symptoms had higher health care utilization over time. They visited their GP and specialists more frequently and they had higher odds of being hospitalized. This may suggest that higher utilization of specialist care and increased likelihood of being hospitalized may be also attributable to unspecific symptoms or symptoms that are elevated through depressive symptoms.

Early liaison psychiatry consultations and general hospital readmission: A retrospective cohort study

BACKGROUND

Readmission rates are under growing scrutiny as an indicator of quality of care as much as a potential source of savings. Patients with comorbid psychiatric conditions are more likely to be readmitted, so Consultation-Liaison Psychiatry (CLP) may play a role in lowering readmission rates.

METHOD

In this retrospective cohort study conducted in a general hospital in Paris, France, all consecutive adult inpatients referred for the first time to CLP from January 2008 to December 2016, were included. The main outcomes were 30-day and 7-day readmissions in the same hospital, excluding iterative and planned stays. The objective of this study is to determine whether the timing of psychiatric consultations is associated with 30-day and 7-day readmission rates.

RESULTS

A total of 4498 inpatients (2298(51·1%) women, age = 59·8(±19·3) years) were referred to CLP. Adjusting for age, sex, place of residence, year of admission, type of ward, psychiatric diagnosis and disease severity, later consultation was associated with higher 30-day and 7-day readmission rates (adjusted Odds Ratio [95% confidence interval]:1.21[1·10-1·33] and 1·26[1·11-3·13], respectively). Further adjusting for length of stay, the association remained significant for 7-day readmission (1.28[1·05-1·57]). After stratification on the length of stay, for stays in the highest tercile (i.e., >21 days) an intervention after day 3 (versus before) was associated with 30-day and 7-day readmission rates of 15·8% versus 8·6%(1·81 [1·11-3·13]) and 4·9% versus 1·8%(2·98[1·16-9·88]), respectively.

CONCLUSION

Earlier psychiatric consultation was associated with fewer 30-day and 7-day readmissions. Interventional studies are needed to show that proactive CLP teams could help general hospitals to improve quality of care and make significant economic savings.

Association of cardiovascular metabolic risk factor measurements with psychiatric readmission among in-hospital patients with severe mental illness: a retrospective study

BACKGROUND

Patients with severe mental illness (SMI) and comorbid physical conditions were often associated with higher risks of mortality and hospital readmission. In this study, we aim to examine the association of cardiovascular metabolic risk factor measurements with risks of psychiatric readmissions among in-hospital patients with severe mental illness (SMI).

METHODS

We collected the longitudinal information of laboratory investigations, blood pressure and body mass index (BMI) among in-hospital patients who had been diagnosed with schizophrenia, major depression disorder or bipolar disorder and with comorbid diagnosis of hypertension, hyperlipidemia or diabetes from Jan 2014 to Jan 2019. The primary outcome was time to first psychiatric readmission. Cox proportional hazard model was utilized to calculate the hazard risks (HR) of cardiovascular metabolic risk factors with psychiatric readmission.

RESULTS

A total of 5,256 patients were included in the analysis. Compared to patients with normal blood parameters, patients with aberrant tests of high-density dyslipidemia (HDL) and diastolic blood pressure (DBP) during in-hospitalization period were associated with higher risks to first psychiatric readmission [ HR (Hazard Ratio), 1.37 95% Confidence interval (CI), 1.03-1.83 for HDL and HR, 1.32 (95% CI, 1.04-1.67])for DBP]. Compared to patients with optimal monitoring, patients with suboptimal monitoring of blood lipids and blood pressure during in-hospitalization period or recommended window period of cardiovascular disease (CVD) risk management were associated with higher risks to first psychiatric readmission.

CONCLUSIONS

Aberrant cardiovascular metabolic blood test and blood pressure and missing measurements among in-hospital patients with SMI were associated with increased risks of psychiatric readmissions. This calls for more active screening and monitoring of CVD risk factors for those in-hospital patients in need.

Let Go and Let God: A Study of Religiosity and Depressive Symptoms in the Black Church

The purpose of this study was to examine the relationship between dimensions of religiosity (organizational, non-organizational, subjective) and depressive symptoms in the Black church. Surveys were administered to attendees of four churches in the northeastern U.S. The Multidimensional Measure of Religious Involvement for African Americans examined religiosity and the Patient Health Questionnaire-8 items assessed depressive symptoms. Logistic regression analysis was employed to examine the relationship between religiosity and depressive symptoms adjusting for potentially influential covariates. Participants reporting high organizational religiosity were significantly more likely to report non-significant depressive symptoms (adjusted odds ratio (AOR) = 1.80, 95% confidence interval (CI) = 1.05, 3.08) in comparison with those reporting low organizational religiosity, when controlling for potentially influential covariates. Our findings suggest that organizational religiosity may be protective against depression. These findings inform the development of initiatives seeking to reduce the burden of depression in the Black church.

Recent trends in the management of depression in persons with cancer

PURPOSE OF REVIEW

Depression is a prevalent comorbidity in cancer that significantly increases the risk for numerous negative health outcomes. This review updates the current evidence base for management of depression in cancer, highlighting new research directions based on the inflammatory hypothesis of depression.

RECENT FINDINGS

Research on pharmacotherapy and psychotherapy for depression in cancer has shown mixed efficacy partly because of methodological issues arising from the phenomenology of depression in cancer. After decades of stagnancy, more recent high-quality clinical trials are beginning to provide an evidence base to guide treatment. Inflammatory cytokine-associated depression is a subtype of depression that may have particular relevance in cancer, opening new avenues to explore therapeutic targets and biobehavioral impacts of interventions, which may improve cancer outcomes.

SUMMARY

The continuum of severity in cancer-related depression is important to consider in management approaches. Choice of treatment should be personalized to the patient and their symptom profile as there is currently insufficient evidence to recommend any particular medication or psychotherapy over another. Psychological interventions should be considered first line for mild-to-moderate depression, and pharmacological treatment added for more severe depression, which can be optimally delivered within a collaborative care model.

VIDEO ABSTRACT

http://links.lww.com/YCO/A62.

Using Higher-Order Constructs to Estimate Health-Disease Status: The Effect of Health System Performance and Sustainability

This article aims to provide information to public agencies and policymakers on the determinants of health systems and their relationships that influence citizens’ health–disease status. A total of 61 indicators for each of 17 Spanish autonomous communities were collected from the Spanish Ministry of Health, Social Services, and Equality between 2008 and 2017. The applied technique was partial least squares structural equation modeling (PLS-SEM). Concerning health–disease status, an influence of sustainability and performance on the health system was hypothesized. The findings revealed that health system sustainability had a negative effect on health–disease status, measured in terms of disease incidence. However, the relationship between health system performance and health–disease status is positive. Furthermore, health system performance mediates the relationship between sustainability and health–disease status. According to our study, if we consider the opposite poles that make up the definition of health–disease status (well-being and disease), this concept is defined more by the incidence of the negative aspect.

Combined influence of depression severity and low-grade inflammation on incident hospitalization and mortality risk in Italian adults

BACKGROUND

Depression and low-grade systemic inflammation are associated risk factors for hospitalizations and mortality, although the nature of this relationship is under-investigated.

METHODS

We performed multivariable Cox regressions of first hospitalization/mortality for all and specific causes vs depression severity, in an Italian population cohort (N=13,176; age≥35 years; 49.4% men), incrementally adjusting for sociodemographic, health and lifestyle factors. We tested potential mediation, additive and interactive effects of INFLA-score, a composite circulating inflammation index, and potential concurrent mediations of main lifestyles and chronic conditions.

RESULTS

Over 4,856 hospitalizations (median follow-up 7.28 years), we observed an increased incident risk of events by 24% (CI=17-32%) and 59% (30-90%) for moderate and severe depression, which also showed a 125% (33-281%) increased risk of all-cause mortality (over 471 deaths, 8.24 years). These remained stable after adjustment for lifestyles, health conditions and INFLA-score, which explained 2.1%, 7.6%, 16.3% and 8%, 14.9% and 12% of depression influence on hospitalizations and mortality risk, respectively. These proportions remained substantially stable after reciprocal adjustments. INFLA-score showed significant additive (but not interactive) effects on both hospitalizations and mortality risk.

LIMITATIONS

Depression severity was defined using a sub-version of Patient Health Questionnaire 9, which was validated here. Directionality links among exposures could not be established since they were collected simultaneously.

CONCLUSIONS

These findings suggest a combined influence of depression and low-grade inflammation on health, which is partly intertwined and dependent on lifestyles and chronic conditions. This suggests the existence of pathways other than inflammation through which depression may play its detrimental effect.

Association between operational positive depression symptom screen scores on hospital admission and 30-day readmissions

BACKGROUND

Positive scores on inpatient depression symptom screens have been found to be associated with readmissions, yet most studies have used depression screens collected as part of research studies.

OBJECTIVE

We evaluated whether the relationship between depression severity and readmission persisted when depression screening data was obtained for operational purposes.

DESIGN

Retrospective analysis studying prospective use of PHQ data.

SETTING

Large academic medical center.

INTERVENTION

Ward nurses obtained depression screens from patients soon after admission. Patients who answered 'yes' to at least one Patient Health Questionnaire (PHQ)-2 question were screened using the PHQ-9.

MAIN OUTCOMES AND MEASURES

We examined the association between depression severity and 30-day readmissions using logistic regression, adjusting for known predictors of hospital readmission.

RESULTS

From July 2014-June 2016, 18,792 discharged adult medicine inpatients received an initial depression screen (PHQ-2) and 1105 patients (5.90%) had at least one positive response. Of this group, 3163 patients (6.32%) were readmitted within 30 days. 1128 patients received the PHQ-9. Compared to patients with no depression, patients with moderately-severe depression had 3.03 higher odds (95%CI, 1.44-6.38) and patients with severe depression had 1.63 higher odds (95%CI, 0.70-3.78) of being readmitted, after adjusting for known predictors of hospital admission. Adding PHQ-9 results did not significantly improve the predictive power of a readmissions model.

CONCLUSIONS

Our mixed results call into question whether PHQ data obtained for operational purposes may differ compared to data obtained for research purposes. Differences in training of screening staff or patient discomfort with discussing depression in the hospital could explain our findings.

Excess deaths in treatment-resistant depression

BACKGROUND

Patients with treatment-resistant depression (TRD) have an increased mortality risk compared with other patients with depression, but it is not known how this translates into absolute numbers of excess deaths.

METHODS

Swedish national registers were used to identify a cohort of 118,774 antidepressant initiators 18-69 years old with a depression diagnosis. Patients who initiated a third consecutive treatment trial were classified as having TRD. Flexible parametric survival models were used to estimate the mortality risk due to all causes and external causes (suicides and accidents), comparing TRD patients with patients with other depression while adjusting for clinical and sociodemographic covariates and including interactions with TRD, age, and Charlson comorbidity index (CCI) for a number of somatic comorbidities. Standardized survival was estimated, as were numbers of excess deaths among TRD patients within each age and comorbidity category.

RESULTS

Compared with the mortality risk of other depressed patients, patients with TRD experienced excess deaths in most age and comorbidity categories in the range of 7-16 deaths per 1000 patients during 5 years. Highest numbers for all-cause excess deaths were found among patients 18-29 years old with CCI 1, where 16 [95% confidence interval 5-28] of the expected 37 [25-48] deaths per 1000 patients were excess deaths. The majority of the excess deaths were due to external causes.

CONCLUSION

Patients with TRD experience significant numbers of excess deaths compared with other patients with depression.

Development of a risk prediction model of potentially avoidable readmission for patients hospitalised with community-acquired pneumonia: study protocol and population

INTRODUCTION

30-day readmission rate is considered an adverse outcome reflecting suboptimal quality of care during index hospitalisation for community-acquired pneumonia (CAP). However, potentially avoidable readmission would be a more relevant metric than all-cause readmission for tracking quality of hospital care for CAP. The objectives of this study are (1) to estimate potentially avoidable 30-day readmission rate and (2) to develop a risk prediction model intended to identify potentially avoidable readmissions for CAP.

METHODS AND ANALYSIS

The study population consists of consecutive patients admitted in two hospitals from the community or nursing home setting with pneumonia. To qualify for inclusion, patients must have a primary or secondary discharge diagnosis code of pneumonia. Data sources include routinely collected administrative claims data as part of diagnosis-related group prospective payment system and structured chart reviews. The main outcome measure is potentially avoidable readmission within 30 days of discharge from index hospitalisation. The likelihood that a readmission is potentially avoidable will be quantified using latent class analysis based on independent structured reviews performed by four panellists. We will use a two-stage approach to develop a claims data-based model intended to identify potentially avoidable readmissions. The first stage implies deriving a clinical model based on data collected through retrospective chart review only. In the second stage, the predictors comprising the medical record model will be translated into International Classification of Diseases, 10th revision discharge diagnosis codes in order to obtain a claim data-based risk model.The study sample consists of 1150 hospital stays with a diagnosis of CAP. 30-day index hospital readmission rate is 17.5%.

ETHICS AND DISSEMINATION

The protocol was reviewed by the Comité de Protection des Personnes Sud Est V (IRB#6705). Efforts will be made to release the primary study results within 6 months of data collection completion.

TRIAL REGISTRATION NUMBER

ClinicalTrials.gov Registry (NCT02833259).

How Specialist Aftercare Impacts Long-Term Readmission Risks in Elderly Patients With Metabolic, Cardiac, and Chronic Obstructive Pulmonary Diseases: Cohort Study Using Administrative Data

BACKGROUND

The health state of elderly patients is typically characterized by multiple co-occurring diseases requiring the involvement of several types of health care providers.

OBJECTIVE

We aimed to quantify the benefit for multimorbid patients from seeking specialist care in terms of long-term readmission risks.

METHODS

From an administrative database, we identified 225,238 elderly patients with 97 different diagnosis (ICD-10 codes) from hospital stays and contact with 13 medical specialties. For each diagnosis associated with the first hospital stay, we used multiple logistic regression analysis to quantify the sex-specific and age-adjusted long-term all-cause readmission risk (hospitalizations occurring between 3 months and 3 years after the first admission) and how specialist contact impacts these risks.

RESULTS

Men have a higher readmission risk than women (mean difference over all first diagnoses 1.9%, P<.001), but similar reduction in readmission risk after receiving specialist care. Specialist care can reduce readmission risk by almost 50%. We found the greatest reductions in risk when the first hospital stay was associated with diagnoses corresponding to complex chronic diseases such as acute myocardial infarction (57.6% reduction in readmission risk, SE 7.6% for men [m]; 55.9% reduction, SE 9.8% for women [w]), diabetic and other retinopathies (m: 62.3%, SE 8.0; w: 60.1%, SE 8.4%), chronic obstructive pulmonary disease (m: 63.9%, SE 7.8%; w: 58.1%, SE 7.5%), disorders of lipoprotein metabolism (m: 64.7%, SE 3.7%; w: 63.8%, SE 4.0%), and chronic ischemic heart diseases (m: 63.6%, SE 3.1%; w: 65.4%, SE 3.0%).

CONCLUSIONS

Specialist care can greatly reduce long-term readmission risk for patients with chronic and multimorbid diseases. Further research is needed to identify the specific reasons for these findings and to understand the detected sex-specific differences.

Risk factors of hospitalization for any medical condition among patients with prior emergency department visits for mental health conditions

BACKGROUND

This longitudinal study identified risk factors for frequency of hospitalization among patients with any medical condition who had previously visited one of six Quebec (Canada) emergency departments (ED) at least once for mental health (MH) conditions as the primary diagnosis.

METHODS

Records of n = 11,367 patients were investigated using administrative databanks (2012-13/2014-15). Hospitalization rates in the 12 months after a first ED visit in 2014-15 were categorized as no hospitalizations (0 times), moderate hospitalizations (1-2 times), and frequent hospitalizations (3+ times). Based on the Andersen Behavioral Model, data on risk factors were gathered for the 2 years prior to the first visit in 2014-15, and were identified as predisposing, enabling or needs factors. They were tested using a hierarchical multinomial logistic regression according to the three groups of hospitalization rate.

RESULTS

Enabling factors accounted for the largest percentage of total variance explained in the study model, followed by needs and predisposing factors. Co-occurring mental disorders (MD)/substance-related disorders (SRD), alcohol-related disorders, depressive disorders, frequency of consultations with outpatient psychiatrists, prior ED visits for any medical condition and number of physicians consulted in specialized care, were risk factors for both moderate and frequent hospitalizations. Schizophrenia spectrum and other psychotic disorders, bipolar disorders, and age (except 12-17 years) were risk factors for moderate hospitalizations, while higher numbers (4+) of overall interventions in local community health service centers were a risk factor for frequent hospitalizations only. Patients with personality disorders, drug-related disorders, suicidal behaviors, and those who visited a psychiatric ED integrated with a general ED in a separate site, or who visited a general ED without psychiatric services were also less likely to be hospitalized. Less urgent and non-urgent illness acuity prevented moderate hospitalizations only.

CONCLUSIONS

Patients with severe and complex health conditions, and higher numbers of both prior outpatient psychiatrist consultations and ED visits for medical conditions had more moderate and frequent hospitalizations as compared with non-hospitalized patients. Patients at risk for frequent hospitalizations were more vulnerable overall and had important biopsychosocial problems. Improved primary care and integrated outpatient services may prevent post-ED hospitalization.

Assessing whether ad hoc clinician-generated patient questionnaires provide psychometrically valid information

Background

The provision of psychometrically valid patient reported outcomes (PROs) improves patient outcomes and reflects their quality of life. Consequently, ad hoc clinician-generated questionnaires of the past are being replaced by more rigorous instruments. This change, while beneficial, risks the loss/orphaning of decades-long information on difficult to capture/chronically ill populations. The goal of this study was to assess to the quality of data retrieved from these legacy questionnaires.

Methods

Participants included 8563 patients who generated a total of 12,626 hospital admissions over the 2004–2014 study period. Items used to screen for issues related to function, mood, symptoms, and social support among patients with chronic disease were identified in our medical center’s patient information questionnaire. Cluster and exploratory factor analyses (EFA) followed by multidimensional item response theory (MIRT) analyses were used to select items that defined factors. Scores were derived with summation and MIRT approaches; inter-factor relationships and relationships of factor scores to assigned diagnostic codes were assessed. Rasch analyses assessed the constructs’ measurement properties.

Results

Literature review and clinician interviews yielded four hypothesized constructs: psychological distress/wellbeing, symptom burden, social support, and physical function. Rasch analyses showed that, while all had good measurement properties, only one, function, separated individuals well. In exploratory factor analyses (EFA), 11 factors representing depression, respiratory symptoms, musculoskeletal pain, family support, mobility, activities of daily living, alcohol consumption, weight loss, fatigue, neurological disorders, and fear at home were identified. Based on the agreement between EFA and cluster analyses as well as Cronbach’s alpha, six domains were retained for analyses. Correlations were strong between activities of daily living and mobility (.84), and moderate between pain and mobility (.37) and psychological distress (.59) Known-group validity was supported from the relationships between factor scores and the relevant diagnostic code assignments (.12 to .20).

Conclusions and discussion

Items from ad hoc clinician-generated patient information questionnaires can be aggregated into valid factors that assess supportive care domains among chronically ill patients. However, the binary response options offered by many screening items limit their information content and consequently, as highlighted by Rasch analyses, their ability to meaningfully discriminate trait levels in these populations.

The relevance of depressive symptoms for the outcome of patients receiving vitamin K antagonists: results from the thrombEVAL cohort study

AIMS

Although depressive symptoms are highly prevalent in patients receiving oral anticoagulation (OAC), the relevance of depression for the outcome of anticoagulated individuals is unknown.

METHODS AND RESULTS

We analysed data from the multicentre cohort study thrombEVAL (NCT01809015) investigating the efficacy of OAC with vitamin K antagonists. There was an independent study monitoring, and an independent review panel assessed the endpoints. Out of n = 1558 participants, information about depressive symptoms, as measured by the two-item screener of the patient health questionnaire (PHQ-2), was available in n = 1405 individuals. The mean follow-up period was 28.04 months, with a standard deviation of 11.52 months. In multivariable Cox regression analysis, baseline PHQ-2 sum score was a strong and robust predictor of clinically relevant bleeding [hazard ratio (HR) 1.13, 95% confidence interval 1.03-1.24; P = 0.011] and all-cause mortality (HR 1.18, 1.08-1.28; P = 0.001) independent of age, sex, high school graduation, partnership, clinical profile, intake of serotonin reuptake inhibitors, and quality of OAC therapy. Individuals with clinically significant depressive symptoms (PHQ-2 ≥ 3) had a 57% increased risk for clinically relevant bleeding (fully adjusted HR 1.57, 1.08-2.28) and 54% greater risk for death (fully adjusted HR 1.54, 1.09-2.17). There was no association of depressive symptoms with thromboembolic events. For hospitalization, individuals with depressive symptoms (PHQ-2 ≥ 3) did not experience an elevated risk in the fully adjusted model (HR 1.08, 0.86-1.35; P = 0.52).

CONCLUSION

Assessment of depression by the PHQ-2 provided independent long-term prognostic information beyond common biomedical risk factors. These findings highlight the need for targeting depressive symptoms in the management of patients receiving OAC therapy.

Health-related quality of life and readmission of patients with cardiovascular disease in South Korea

AIMS

The purpose of this study was to investigate the health-related quality of life (HRQOL) of patients with cardiovascular disease and its relationship to hospital readmission.

METHODS

The cross-sectional study used data from 1037 adults aged ⩾19 years diagnosed with myocardial infarction or angina pectoris. Raw data were obtained from the fourth to sixth Korea National Health and Nutrition Examination Survey (2007-2014).

RESULTS

Readmission was found to be associated with age, living status, education level, unemployment, individual income level, stroke, osteoarthritis, diabetes, depression, low stress level, walking days per week, and activity limitations due to cardiovascular disease.

CONCLUSION

In summary, readmission was related to HRQOL among patients with myocardial infarction. Interventions that consider efforts to reduce readmission through improved diagnosis and development of systematic management of cardiovascular disease symptoms are required.

Structured, proactive care coordination versus usual care for Improving Morbidity during Post-Acute Care Transitions for Sepsis (IMPACTS): a pragmatic, randomized controlled trial

Background

Hospital mortality for patients with sepsis has recently declined, but sepsis survivors still suffer from significant long-term mortality and morbidity. There are limited data that support effective strategies to address post-discharge management of patients hospitalized with sepsis.

Methods

The Improving Morbidity during Post-Acute Care Transitions for Sepsis (IMPACTS) study is a pragmatic, randomized controlled trial at three hospitals within a single healthcare delivery system comparing clinical outcomes between sepsis survivors who receive usual care versus care delivered through the Sepsis Transition and Recovery (STAR) program. The STAR program includes a centrally located nurse navigator using telephone counseling and electronic health record-based support to facilitate best-practice post-sepsis care strategies for patients during hospitalization and the 30 days after hospital discharge, including post-discharge review of medications, evaluation for new impairments or symptoms, monitoring existing comorbidities, and palliative care referral when appropriate. Adults admitted through the Emergency Department with suspected infection (i.e., antibiotics initiated, bacterial cultures drawn) and deemed, by previously developed risk-stratification models, high risk for readmission or death are included. Eligible patients are randomly allocated 1:1 to either Arm 1, usual care or Arm 2, STAR. Planned enrollment is 708 patients during a 6-month period. The primary outcome is the composite of all-cause hospital readmissions and mortality assessed 30 days post discharge. Secondary outcomes include 30- and 90-day hospital readmissions, mortality, emergency department visits, acute care-free days alive, and acute care and total costs.

Discussion

This pragmatic evaluation provides the most comprehensive assessment to date of a strategy to improve delivery of recommended post-sepsis care.

Trial registration

ClinicalTrials.gov, NCT03865602. Registered retrospectively on 6 March 2019.

Improving Depression Management in Patients with Medical Illness Using Collaborative Care: Linking Treatment from the Inpatient to the Outpatient Setting

Objective: This paper sought to review the impact of depression in patients with comorbid medical problems, the importance of bridging the gap between inpatient and outpatient care for medical inpatients with depression (especially for organizations that treat patients in both settings), and the elements necessary to implement a pilot for an outpatient Collaborative Care Management program for patients with depression following medical admissions. Taken into account is the presence of new billing mechanisms and potential cost offsets. Methods: The literature referenced in this paper was identified through a search of online databases, including PubMed and Google Scholar. The data used to analyze cost were drawn from national, publicly available sources, such as the Kaiser Family Foundation, Bureau of Labor Statistics, and the Organisation for Economic Cooperation and Development. Results: Collaborative care is an evidence-based intervention for depression that can aid with successful transition of care as patients move from the inpatient to the outpatient setting. It can be considered cost-effective when treating a panel of patients that falls below the recommended caseload for a single case manager (i.e., 19-46 billed encounters, depending on the payer mix), particularly when considering the savings from a reduced length of stay associated with well-controlled depressive symptoms. Conclusion: Organizations should consider implementing collaborative care management for patients with depression to improve depression outcomes, reduce costs, and prepare themselves for a health financing environment that rewards value.

Association of depression with malnutrition, grip strength and impaired cognitive function among senior trauma patients

BACKGROUND

Depression is common among senior adults, yet understudied among trauma patients. The purpose of this study was to assess the prevalence of depressive symptoms among seniors hospitalized in acute trauma care, to compare patients with depressive symptoms vs. those without, and to evaluate whether depression symptoms affects discharge destination.

METHODS

This cross-sectional and prospective analysis was conducted among community-dwelling patients ≥70 years old, hospitalized at the Senior Trauma Center of the University Hospital Zurich, Switzerland. We used the Geriatric Depression Scale (GDS-15) to assess presence of depressive symptoms. Using a cutoff value of 5 points, we compared age- and gender-adjusted characteristics of patients with and without depressive symptoms. Multinomial logistic regression models were used to estimate the odds of returning home vs. not adjusting for age, gender, nutritional status, cognitive function and others.

RESULTS

Of the 273 seniors enrolled, 104 (38.1%) were men and the mean age was 79.4 (SD = 6.5) years. We identified 52 (19.0%) patients with depressive symptoms. These patients were more likely to be older (p = 0.04), at risk for malnutrition (p<0.0001), at least pre-frail (p = 0.005), and have decreased cognitive function (p = 0.001). They were also more than twice as likely to be discharged to acute geriatric care compared to home (OR = 2.28 (CI = 1.12-4.68)).

LIMITATIONS

Depressive symptoms were assessed during acute care without data before hospitalization.

CONCLUSIONS

Senior trauma patients with depressive symptoms during acute care were more likely to be at higher risk of malnutrition, have cognitive decline and are more likely to receive additional geriatric care.

Museum Moving to Inpatients: Le Louvre à l'Hôpital

Anxiety and depressive symptoms are common in hospitalized patients. Arts and cultural programs were reported to enhance their quality of life. The Le Louvre à l’hôpital study presents a new approach in which the museum moves to the hospital by displaying and discussing artworks with patients interactively. Over one year, four large statues were disposed in the hospital gardens, 30 reprints of large painting were exhibited in the hospital hall, dining rooms, and circulations areas. A total of 83 small-group guided art discussions (90 min) were organized, which 451 patients attended. The 200 small-size reproductions of paintings placed in the patients’ rooms were chosen based on their individual preferences. Decreased anxiety after the art sessions was reported by 160 of 201 patients (79.6%). Out of 451 patients, 406 (90%) said the art program had met their expectations, and 372 (82.4%) wished to continue the experience with caregivers (162 paramedics trained for art activity during 66 workshops). In conclusion, moving the museum to the hospital constitutes a valuable way to provide art activities for inpatients in large numbers, which may reduce hospital-related anxiety in many instances.

Association of the Trauma of Hospitalization With 30-Day Readmission or Emergency Department Visit

IMPORTANCE

Trauma of hospitalization refers to the depersonalizing and stressful experience of a hospital admission and is hypothesized to increase the risk of readmission after discharge.

OBJECTIVES

To characterize the trauma of hospitalization by measuring patient-reported disturbances in sleep, mobility, nutrition, and mood among medical inpatients, and to examine the association between these disturbances and the risk of unplanned return to hospital after discharge.

DESIGN, SETTING, AND PARTICIPANTS

This prospective cohort study enrolled participants between September 1, 2016, and September 1, 2017, at 2 academic hospitals in Toronto, Canada. Participants were adults admitted to the internal medicine ward for more than 48 hours. Participants were interviewed before discharge using a standardized questionnaire to assess sleep, mobility, nutrition, and mood. Responses for each domain were dichotomized as disturbance or no disturbance. Disturbance in 3 or 4 domains (the upper tertile) was considered high trauma of hospitalization, and disturbance in 0 to 2 domains (the lower 2 tertiles) was considered low trauma.

MAIN OUTCOME AND MEASURES

The primary outcome was readmission or emergency department visit within 30 days of discharge. The association between trauma of hospitalization and the primary outcome was examined using logistic regression, adjusted for age; sex; length of stay; Charlson Comorbidity Index Score; Laboratory-Based Acute Physiology Score; and baseline disturbances in sleep, mobility, nutrition, and mood.

RESULTS

A total of 207 patients participated, of whom 82 (39.6%) were women and 125 (60.4%) were men, with a mean (SD) age of 60.3 (16.8) years. Among the 207 participants, 75 (36.2%) reported sleep disturbance, 162 (78.3%) reported mobility disturbance, 114 (55.1%) reported nutrition disturbance, and 48 (23.2%) reported mood disturbance. Nearly all participants (192 [92.8%]) described a disturbance in at least 1 domain, and 61 participants (29.5%) had high trauma exposure. A statistically significant 15.8% greater absolute risk of readmission or emergency department visit was found in participants with high trauma (37.7%; 95% CI, 25.9%-51.1%) compared with those with low trauma (21.9%; 95% CI, 15.7%-29.7%), which remained statistically significant after adjusting for baseline characteristics (adjusted odds ratio, 2.52; 95% CI, 1.24-5.17; P = .01) and propensity score matching (odds ratio, 2.47; 95% CI, 1.11-5.73; P = .03).

CONCLUSIONS AND RELEVANCE

Disturbances in sleep, mobility, nutrition, and mood were common in medical inpatients; such trauma of hospitalization may be associated with a greater risk of 30-day readmission or emergency department visit after hospital discharge.

Schneider B, I. Twersky J. Implementing and feasibility testing depression screening using the electronic medical record for patients with type 2 diabetes admitted to the hospital

AIM

Is it feasible to implement a programme to screen for depression in patients admitted to the hospital for diabetes complications and use the electronic medical record to notify providers of their patient's depression score and give suggestions for medication and counselling?

DESIGN

A feasibility study was conducted with patients hospitalized with diabetes and depression in the Durham Veterans Affairs Medical Center, Durham, North Carolina, United States.

METHODS

Patients with type 2 diabetes were screened for depression. The healthcare provider was notified via the electronic medical record about the patients' depression scores. The provider discussed options for management of depression with the patient and initiated treatment.

RESULTS

The process of screening for depression at admission, notifying the provider by way of electronic medical record that the patient screened positive for depression with suggestions for medication and counseling was feasible and acceptable to providers and patients.

Association of social worker-assessed psychosocial factors with 30-day hospital readmissions among hemodialysis patients

Background

Evidence regarding the effect of psychosocial factors on hospital readmission in the setting of hemodialysis is limited. We examined whether social worker-assessed factors were associated with 30-day readmission among prevalent hemodialysis patients.

Methods

Data on 14 factors were extracted from the first available psychosocial assessment performed by social workers at three metropolitan Atlanta dialysis centers. Index admissions (first admission preceded by ≥30 days without a previous hospital discharge) were identified in the period 2/1/10–12/31/14, using linked national administrative hospitalization data. Readmission was defined as any admission within 30 days after index discharge. Associations of each of the psychosocial factors with readmission were assessed using multivariable logistic regression with adjustment for patient and index admission characteristics.

Results

Among 719 patients with index admissions, 22.1% were readmitted within 30 days. No psychosocial factors were statistically significantly associated with readmission risk. However, history of substance abuse vs. none was associated with a 29% higher risk of 30-day readmission [OR: 1.29, 95% CI: 0.75–2.23], whereas depression/anxiety was associated with 20% lower risk [OR: 0.80, 95% CI: 0.47–1.36]. Patients who were never married and those who were divorced, or widowed had 38 and 17% higher risk of 30-day readmission, respectively, than those who were married [OR: 1.38, 95% CI: 0.84–2.72; OR: 1.17, 95% CI: 0.73–1.90].

Conclusions

Results suggest that psychosocial issues may be associated with risk of 30-day readmission among dialysis patients. Despite the limitations of lack of generalizability and potential misclassification due to patient self-report of psychosocial factors to social workers, further study is warranted to determine whether addressing these factors through targeted interventions could potentially reduce readmissions among hemodialysis patients.

Effective mental health interventions to reduce hospital readmission rates: a systematic review

BACKGROUND

Hospitals in the United States are financially penalized for having a higher than expected thirty-day readmission ratio among patients initially hospitalized for heart failure, acute myocardial infarction (AMI), pneumonia, chronic obstructive pulmonary disease (COPD), coronary artery bypass graft (CABG) surgery, or hip and knee replacement. Patients hospitalized for these conditions that have comorbid mental health diagnoses or symptoms are at high risk for readmission.

METHODS

We conducted a systematic review to determine if interventions, that are specifically designed to assess or treat mental health symptoms, can effectively reduce risk of readmission following hospitalization for physical health conditions. We searched on PubMed and Google Scholar for peer-reviewed articles published between January 2010 and June 2018 that examined the impact of mental-health interventions on readmissions for physical conditions.

RESULTS

After screening 81 full text articles, we found eleven intervention studies, one meta-analysis, and one cross-sectional study that met our inclusion criteria. Only three of the intervention studies found significant differences in readmission rates between intervention and comparison groups. Each of these interventions targeted patients after discharge from the hospital. One of the interventions was a physical health telemonitoring and individual psychotherapy intervention for patients that were initially admitted for heart failure. The second intervention was individual and group psychotherapy sessions for patients who were initially admitted for AMI. The third intervention was a nurse-driven depression care management protocol for home care patients with depressive symptoms who were initially admitted for any physical health condition. The cross-sectional study showed that communities with a stronger, social-based public mental health infrastructure had significantly lower physical health readmission rates.

CONCLUSIONS

The literature identified in this review, appears to provide support for the use of mental health interventions after discharge as a mechanism for reducing physical health condition readmissions. Future research is needed to determine if these interventions can specifically reduce thirty-day readmissions for the six conditions linked to financial penalties.

Changes in healthcare resource use and costs associated with early versus delayed initiation of atypical antipsychotic adjunctive treatment in major depressive disorder

AIMS

The study compared all-cause and major depressive disorder (MDD)-related healthcare resource use (HRU) and costs in patients with MDD treated with atypical antipsychotic (AAP) adjunctive therapy early or later in treatment.

MATERIALS AND METHODS

Adults with MDD and antidepressant treatment (ADT) who newly initiated adjunctive aripiprazole, brexpiprazole, lurasidone, or quetiapine between October 1, 2014 and September 30, 2015 were identified in the IQVIA Real-World Data Adjudicated Claims database; the index date was the date of the first AAP claim. Patients were stratified into three cohorts: AAP initiated in the first year (Y1); in the second year (Y2); and more than 2 years (Y3) of first ADT use. Within each cohort, HRU and costs were compared between the 12 months before and after the index date. Pre-post changes in HRU and costs were then compared between cohorts.

RESULTS

Five hundred and six (36.7%) patients were categorized as Y1; 252 (18.3%) as Y2; and 622 (45.1%) as Y3. AAP use was associated with significantly decreased rates of all-cause and MDD-related hospitalization and emergency department visits, and increased rates of pharmacy fills and physician office visits; and the magnitude of changes was largest in cohort Y1. Cohort Y1 had the largest reductions in mean (±SD) all-cause medical costs per patient (-$10,496 ± $85,022, p = .015) compared to Y2 (-$2,474 ± $85,022, p = .572) and Y3 (-$472 ± $31,334, p = .823), mainly due to the reduction in hospitalization. After adjusting for differences in baseline characteristics, the largest reductions in hospitalization and medical costs were observed in cohort Y1. Similar increases in all-cause pharmacy costs were seen in all cohorts. A similar trend in costs was observed in MDD-related healthcare services.

LIMITATIONS AND CONCLUSIONS

AAP treatment was associated with reductions in all-cause and MDD-related medical costs, primarily in decreased hospitalization. The reductions were largest among patients who initiated treatment in the first year.

Use of Antidepressant Medications Moderates the Relationship Between Depressive Symptoms and Hospital Length of Stay in Patients with Advanced Cancer

BACKGROUND

Among patients with cancer, depressive symptoms are associated with worse clinical outcomes, including greater health care utilization. As use of antidepressant medications can improve depressive symptoms, we sought to examine relationships among depressive symptoms, antidepressant medications, and hospital length of stay (LOS) in patients with advanced cancer.

MATERIALS AND METHODS

From September 2014 to May 2016, we prospectively enrolled patients with advanced cancer who had an unplanned hospitalization. We performed chart review to obtain information regarding documented depressive symptoms in the 3 months prior to admission and use of antidepressant medications at the time of admission. We compared differences in hospital LOS by presence or absence of depressive symptoms and used adjusted linear regression to examine if antidepressant medications moderated these outcomes.

RESULTS

Of 1,036 patients, 126 (12.2%) had depressive symptoms documented prior to admission, and 288 (27.8%) were taking antidepressant medications at the time of admission. Patients with depressive symptoms experienced longer hospital LOS (7.25 vs. 6.13 days; p = .036). Use of antidepressant medications moderated this relationship; among patients not on antidepressant medications, depressive symptoms were associated with longer hospital LOS (7.88 vs. 6.11 days; p = .025), but among those on antidepressant medications, depressive symptoms were not associated with hospital LOS (6.57 vs. 6.17 days; p = .578).

CONCLUSION

Documented depressive symptoms prior to hospital admission were associated with longer hospital LOS. This effect was restricted to patients not on antidepressant medications. Future studies are needed to investigate if use of antidepressant medications decreases LOS for patients hospitalized with advanced cancer and the mechanisms by which this may occur.

IMPLICATIONS FOR PRACTICE

This study investigated the prevalence of documented depressive symptoms in patients with advanced cancer in the 3 months prior to an unplanned hospitalization and the prevalence of use of antidepressant medications at time of hospital admission. The relationship of these variables with hospital length of stay was also examined, and it was found that documented depressive symptoms were associated with prolonged hospital length of stay. Interestingly, antidepressant medications moderated the relationship between depressive symptoms and hospital length of stay. These findings support the need to recognize and address depressive symptoms among patients with advanced cancer, with potential implications for optimizing health care utilization.

Impact of Behavioral Health Screening on Proactive Identification of Patients at Risk for Hospital Readmission

Improving the ability to predict which patients are at increased risk for readmission can lead to more effective interventions and greater compliance with CMS Hospital Readmissions Reduction Program (HRRP) requirements. This study evaluated the performance of a risk model that used data from a health system's electronic medical record (EMR) to predict all-cause readmission among adult inpatients with acute medical conditions, with a specific focus on the impact of including behavioral health screening data. The study included 39,155 unique adult patients admitted during 2015 to 4 acute care inpatient facilities within a nonprofit community-based health care system. The risk model integrated a comprehensive set of data elements including demographics, psychosocial characteristics, medical history, assessment results, and clinical events. Predictive models were constructed using a multivariable logistic regression with a stepwise selection approach. Among study participants, the mean age was 62.9 years, 48.0% were male, 31.2% had comorbid psychiatric conditions, and 6986 had medical conditions/procedures subject to HRRP penalties. Results from exploratory predictive analyses demonstrated that any patients with a Serious Mental Illness (SMI) diagnosis were 28% more likely to be readmitted within 30 days, and the likelihood of readmission associated with SMI increased to 56% for patients with medical conditions subject to HRRP penalties. As health care systems face increasing pressures to reduce readmissions and avoid CMS HRRP financial penalties, study results indicate the importance of including behavioral health data from EMRs and screening assessments for all inpatients to improve discharge planning and patient outcomes.

The association of depression and all-cause and cause-specific mortality: an umbrella review of systematic reviews and meta-analyses

BACKGROUND

Depression is a prevalent and disabling mental disorder that frequently co-occurs with a wide range of chronic conditions. Evidence has suggested that depression could be associated with excess all-cause mortality across different settings and populations, although the causality of these associations remains unclear.

METHODS

We conducted an umbrella review of systematic reviews and meta-analyses of observational studies. PubMed, PsycINFO, and Embase electronic databases were searched through January 20, 2018. Systematic reviews and meta-analyses that investigated associations of depression and all-cause and cause-specific mortality were selected for the review. The evidence was graded as convincing, highly suggestive, suggestive, or weak based on quantitative criteria that included an assessment of heterogeneity, 95% prediction intervals, small-study effects, and excess significance bias.

RESULTS

A total of 26 references providing 2 systematic reviews and data for 17 meta-analytic estimates met inclusion criteria (19 of them on all-cause mortality); data from 246 unique studies (N = 3,825,380) were synthesized. All 17 associations had P < 0.05 per random effects summary effects, but none of them met criteria for convincing evidence. Associations of depression and all-cause mortality in patients after acute myocardial infarction, in individuals with heart failure, in cancer patients as well as in samples from mixed settings met criteria for highly suggestive evidence. However, none of the associations remained supported by highly suggestive evidence in sensitivity analyses that considered studies employing structured diagnostic interviews. In addition, associations of depression and all-cause mortality in cancer and post-acute myocardial infarction samples were supported only by suggestive evidence when studies that tried to adjust for potential confounders were considered.

CONCLUSIONS

Even though associations between depression and mortality have nominally significant results in all assessed settings and populations, the evidence becomes weaker when focusing on studies that used structured interviews and those that tried to adjust for potential confounders. A causal effect of depression on all-cause and cause-specific mortality remains unproven, and thus interventions targeting depression are not expected to result in lower mortality rates at least based on current evidence from observational studies.

Mental Health Conditions and Unplanned Hospital Readmissions in Children

OBJECTIVE

Mental health conditions (MHCs) are prevalent among hospitalized children and could influence the success of hospital discharge. We assessed the relationship between MHCs and 30-day readmissions.

METHODS

This retrospective, cross-sectional study of the 2013 Nationwide Readmissions Database included 512,997 hospitalizations of patients ages 3 to 21 years for the 10 medical and 10 procedure conditions with the highest number of 30-day readmissions. MHCs were identified by using the International Classification of Diseases, 9th Revision-Clinical Modification codes. We derived logistic regression models to measure the associations between MHC and 30-day, all-cause, unplanned readmissions, adjusting for demographic, clinical, and hospital characteristics.

RESULTS

An MHC was present in 17.5% of medical and 13.1% of procedure index hospitalizations. Readmission rates were 17.0% and 6.2% for medical and procedure hospitalizations, respectively. In the multivariable analysis, compared with hospitalizations with no MHC, hospitalizations with MHCs had higher odds of readmission for medical admissions (adjusted odds ratio [AOR], 1.23; 95% confidence interval [CI], 1.19-1.26] and procedure admissions (AOR, 1.24; 95% CI, 1.15-1.33). Three types of MHCs were associated with higher odds of readmission for both medical and procedure hospitalizations: depression (medical AOR, 1.57; 95% CI, 1.49-1.66; procedure AOR, 1.39; 95% CI, 1.17-1.65), substance abuse (medical AOR, 1.24; 95% CI, 1.18-1.30; procedure AOR, 1.26; 95% CI, 1.11-1.43), and multiple MHCs (medical AOR, 1.43; 95% CI, 1.37-1.50; procedure AOR, 1.26; 95% CI, 1.11-1.44).

CONCLUSIONS

MHCs are associated with a higher likelihood of hospital readmission in children admitted for medical conditions and procedures. Understanding the influence of MHCs on readmissions could guide strategic planning to reduce unplanned readmissions for children with cooccurring physical and mental health conditions.

Magnitude and sources of distress in mid-life adults with chronic medical illness: an exploratory mixed-methods analysis

Most mid-life adults have at least one chronic medical condition (CMC) and are at risk for developing additional CMCs. Stressors specific to this life stage may contribute to CMC development by hindering healthy behaviors. The goal of this study was to compare sources and intensity of distress, as they relate to health behaviors, between mid-life and non-mid-life adults with CMCs. We utilized a mixed-methods approach by analyzing quantitative self-report measures of psychiatric symptoms and psychological well-being, with in-depth, semi-structured qualitative interviews to identify sources of stress in three cohorts of patients with CMCs (heart failure, type 2 diabetes, and coronary artery disease). Between-group differences on self-report measures were compared via independent samples t-tests and relevant themes from interview transcripts were compared via chi-square analysis. We found that mid-life participants (n = 30) reported greater psychological distress (depression/anxiety) than non-mid-life (n = 62) participants (Hospital Anxiety and Depression Scale scores 13.8 [SD 7.3] vs. 10.6 [SD 6.6]; t(90)=2.13; p = .035), and qualitative analysis revealed several specific sources of stress significantly more common (p < .001) in mid-life adults. Interventions targeting the needs of this population could reduce distress, improve health behaviors, and have a major impact on public health.

Symptoms Reported by Frail Elderly Adults Independently Predict 30-Day Hospital Readmission or Emergency Department Care

OBJECTIVES

To assess the degree to which self-reported symptoms predict unplanned readmission or emergency department (ED) care within 30 days of high-risk, elderly adults enrolled in a posthospitalization care transition program (CTP).

DESIGN

Retrospective cohort study.

SETTING

Posthospitalization CTP at Mayo Clinic, Rochester, Minnesota, from January 1, 2013, through March 3, 2015.

PARTICIPANTS

Frail, elderly adults (N = 230; mean age 83.5 ± 8.3, 46.5% male).

MEASUREMENTS

Charlson Comorbidity Index (CCI) and self-reported symptoms, measured using the Edmonton Symptom Assessment System (ESAS), were ascertained upon CTP enrollment.

RESULTS

Mean CCI was 3.9 ± 2.3. Of 51 participants returning to the hospital within 30 days of discharge, 13 had ED visits, and 38 were readmitted. Age, sex, and CCI were not significantly different between returning and nonreturning participants, but returning participants were significantly more likely to report shortness of breath (P = .004), anxiety (P = .02), depression (P = .02), and drowsiness (P = .01). Overall ESAS score was also a significant predictor of hospital return (P = .01).

CONCLUSION

Four self-reported symptoms and overall ESAS score, but not CCI, ascertained after hospital discharge were strong predictors of hospital return within 30 days. Including symptoms in risk stratification of high-risk elderly adults may help target interventions and reduce readmissions.

Residents' responsibilities: Adopting a wider view

Current ACGME regulations have limited residents' weekly hours and continuous working hours, a marked change, despite its uncertain effects on physician well-being and quality of care. Although residency programs in internal medicine and family medicine have adapted schedules to conform to these regulations, increasing evidence is accumulating to suggest that these training experiences are not adequately preparing the next generation of practicing primary care and hospital-based physicians. Data from an array of sources continue to demonstrate significant deficiencies in six areas of residents' responsibilities towards their patients: diminished patient "face time" and direct patient care; focus on patients' "reason for hospitalization" or "reason for visit" at the expense of possible neglect of patients' "secondary" medical problems; limited attention to patients' emotional or contextual problems and limited empathy; deficient implementation of the essential constituents of patient-centered care; neglect of habitual "reflective practice"; and excessive distinction between inpatient and outpatient responsibilities, leading to missed opportunities for inpatient residents to be aware of and attend to patients' post-discharge course although new information and readmissions related to the index hospitalization are prevalent. Thus, redesigning residency programs to widen residents' outlook and cover these inseparable components of high-quality care, may infuse the often fatigued and burnt-out residents with purpose and fulfillment, finally incorporating the missing elements of patient-centered care as integral parts of patients' admissions and therefore, of physicians' future careers.

Cardiovascular Disease Risk Predicts Health Perception in Prison Inmates

We hypothesized that risk factors for cardiovascular disease (CVD) would be associated with worse health perceptions in prison inmates. This study included 362 inmates recruited from four medium security prisons in Kentucky. Framingham Risk Score was used to estimate the risk of developing CVD within the next 10 years. A single item on self-rated health from the Medical Outcomes Survey–Short Form 36 was used to measure health perception. Multinomial logistic regression showed that for every 1-unit increase in Framingham Risk Score, inmates were 23% more likely to have rated their health as fair/poor and 11% more likely to rate their health as good rather than very good/excellent. These findings demonstrate that worse health perceptions may serve as a starting point for discussing cardiovascular risk factors and prevention with inmates.

Depression and Mortality in People with Type 2 Diabetes Mellitus, 2003 to 2013: A Nationwide Population-Based Cohort Study

BACKGROUND

Previous reports have demonstrated a bidirectional relationship between depression and diabetes mellitus (DM), accentuating a need for more intensive depression screening in DM patients. There is a relative paucity of data on the mortality of depressed DM patients in Korea.

METHODS

Retrospective data from January 2003 to December 2013 were collected for adult type 2 diabetes mellitus (T2DM) patients older than 30 years using the National Health Information database maintained by the Korean National Health Insurance Service (NHIS). Demographic characteristics were analyzed with descriptive statistics, and the annual prevalence of depression was estimated. Mortality rates and hazard ratios for each age group (stratified into six age groups) of patients diagnosed with T2DM in 2003 were estimated using a Cox proportional hazard method, with the Kaplan-Meier cumulative survival curve showing the overall survival rates according to the T2DM status until the given year of 2013.

RESULTS

The annual prevalence of depression was consistently higher in T2DM group from 2003 to 2013. The mortality hazard ratio was higher in the depressed in all age groups, and the risk was higher in male groups and in younger-aged groups.

CONCLUSION

Depression was significantly associated with a high mortality risk in T2DM patients; hence, a more systematic surveillance of T2DM patients to identify risk factors for depression might contribute significantly to reducing mortality risk in this group of patients.

Psychosocial Factors and 30-Day Hospital Readmission among Individuals Receiving Maintenance Dialysis: A Prospective Study

BACKGROUND

Thirty-day hospital readmissions are common among maintenance dialysis patients. Prior studies have evaluated easily measurable readmission risk factors such as comorbid conditions, laboratory results, and hospital discharge day. We undertook this prospective study to investigate the associations between hospital-assessed depression, health literacy, social support, and self-rated health (separately) and 30-day hospital readmission among dialysis patients.

METHODS

Participants were recruited from the University of North Carolina Hospitals, 2014-2016. Validated depression, health literacy, social support, and self-rated health screening instruments were administered during index hospitalizations. Multivariable logistic regression models with 30-day readmission as the dependent outcome were used to examine readmission risk factors.

RESULTS

Of the 154 participants, 58 (37.7%) had a 30-day hospital readmission. In unadjusted analyses, individuals with positive screening for depression, lower health literacy, and poorer social support were more likely to have a 30-day readmission (vs. negative screening). Positive depression screening and poorer social support remained significantly associated with 30-day readmission in models adjusted for race, heart failure, admitting service, weekend discharge day, and serum albumin: adjusted OR (95% CI) 2.33 (1.02-5.15) for positive depressive symptoms and 2.57 (1.10-5.91) for poorer social support. The area under the receiver operating characteristic curve (AUC) of the multivariable model adjusted for social support status was significantly greater than the AUC of the multivariable model without social support status (test for equality; p value = 0.04).

CONCLUSION

Poor social support and depressive symptoms identified during hospitalizations may represent targetable readmission risk factors among dialysis patients. Our findings suggest that hospital-based assessments of select psychosocial factors may improve readmission risk prediction.

Depression as Measured by PHQ-9 Versus Clinical Diagnosis as an Independent Predictor of Long-Term Mortality in a Prospective Cohort of Medical Inpatients

BACKGROUND

Depression has been associated with higher rates of mortality in medical patients. The aim of the study was to evaluate the impact of depression in medical inpatients on the rate of mortality during a prolonged follow-up period.

METHOD

This is a prospective follow-up study of a cohort of medical inpatients assessed during 1997-1998 in medical and surgical units at a tertiary university hospital in Spain and followed-up for a period ranging between 16.5 and 18 years. Eight hundred three patients were included; 420 (52.3%) were male, and the mean (SD) age was 41.7 (13.8) years. Main outcome was death for any cause during follow-up. The original full Patient Health Questionnaire (PHQ) was administered at baseline as self-report from which the PHQ-9 was derived. Depressive disorders were assessed using PHQ-9 and a structured clinical interview (Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition).

RESULTS

Depressive disorders as defined by PHQ-9 were detected in 206 patients (25.7%), 122 (15.2%) of them fulfilling criteria for major depression. During follow-up, 152 patients (18.9%) died. A PHQ score indicating the presence of major depressive disorder predicted increased mortality (hazard ratio [HR], 2.44; 95% CI, 1.39-4.29), even after adjusting for important demographic and clinical variables. Similarly, the PHQ-9 score as a continuous measure of depression severity predicted increased mortality (HR, 1.06; 95% CI, 1.02-1.10). Results were similar for clinical interview diagnoses of major depression (HR, 2.07; 95% CI, 1.04-4.09).

CONCLUSIONS

Medical inpatients with a PHQ depressive disorder had a nearly 2-fold higher risk of long-term mortality, even after adjustment for several confounders. Depression severity as represented by the PHQ-9 score was also a risk factor.

Predictors of Hospital Readmissions for Ulcerative Colitis in the United States: A National Database Study

BACKGROUND

Early readmissions are important indicators of quality of care. Limited data exist describing hospital readmissions in ulcerative colitis (UC). The aim of this study was to describe unplanned, 30-day readmissions among adult UC patients and to assess readmission predictors.

METHODS

We analyzed the 2013 United States National Readmission Database and identified UC admissions using administrative codes in patients from 18 to 80 years of age. Our primary outcome was a 30-day, unplanned readmission rate. We used chi-square tests, t tests, and Wilcoxon rank-sum tests for descriptive analyses and survey logistic regression to calculate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for associations with readmissions adjusting for confounders.

RESULTS

Among 26,094 hospitalizations with a primary UC diagnosis, there were 2757 (10.6%) 30-day, unplanned readmissions. The most common readmission diagnoses were reasons related to UC (58%), complications of surgical procedures/medical care (5.5%), Clostridium difficile (4.8%), and septicemia (4.3%). In multivariable analysis, length of stay ≥7 days (aOR 1.54, 95% CI, 1.24-1.90), not having an endoscopy (aOR 1.20, 95% CI, 1.04-1.38), and depression (aOR 1.40, 95% CI, 1.16-1.66) were significantly associated with readmission. 58.2% of readmissions had at least one of these factors. Patients were also less likely to be admitted if they were women or had self-pay payer status. Having a colectomy did not significantly increase readmissions (aOR 1.14, 95% CI, 0.86-1.52).

CONCLUSIONS

On a national level, 1 in 10 hospitalizations for UC was followed by an unplanned readmission within 30 days. Not having an endoscopy on the index hospitalization and depression were independently associated with readmissions. Further studies should examine if strategies that address these predictors can decrease readmissions.

Depression and associated factors in hospitalized elderly: a cross-sectional study in a Saudi teaching hospital

BACKGROUND

Depression in the elderly is a serious and often underdiagnosed psychiatric disorder that has been linked to adverse outcomes in the hospital setting.

OBJECTIVES

To determine the prevalence of depression and possible associated factors among hospitalized elderly.

DESIGN

An analytical cross-sectional study.

SETTINGS

Medical and surgical wards of King Abdulaziz University Hospital, Jeddah, Saudi Arabia.

PATIENTS AND METHODS

The study included 200 consecutively hospitalized patients aged 60 years and older. Participants were evaluated within 48 hours of admission using an interviewer-administered question-naire to provide basic demographic and clinical information.

MAIN OUTCOME MEASURE(S)

Depression was assessed using the Patient Health Questionnaire-9 (PHQ-9) screening method and the Structured Clinical Interview for the Diagnostic and Statistical Manual, Fifth Edition (DSM-5) mood disorder module.

RESULTS

According to PHQ-9, 17% and 10.5% of the hospitalized patients were diagnosed with a major depressive disorder and other depressive disorders, respectively. The DSM-5 criteria identified 12% of elderly with major depression. Overall, the number of comorbidities associated with depression was signifi-cantly higher in the major depressive disorder group than in the no depression group (post hoc P=.022). Depression was also associated with female gender, unmarried status, lower income, and polypharmacy. In addition, cardiovascular disease and cancer were the most prevalent medical illnesses associated with depression among hospitalized elderly.

CONCLUSION

Major depressive disorder was prevalent among hospitalized elderly, especially among those with comorbid conditions. Hospital physicians must, therefore, maintain a high index of suspicion to identify early and manage depressive symptoms in these patients.

LIMITATION

The small size of certain subgroups limits the statistical power to examine for associations of depression with particular conditions.