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

Qualitative analysis of disposition decision making for patients referred for admission from the emergency department without definite medical acuity

OBJECTIVE

To map the physician approach when determining disposition for a patient who presents without the level of definite medical acuity that would generally warrant hospitalisation.

DATA SOURCES/STUDY SETTING

Since 2018, our US academic county hospital/trauma centre has maintained a database in which hospitalists ('triage physicians') document the rationale and outcomes of requests for admission to the acute care medical ward during each shift.

STUDY DESIGN

Narrative text from the database was analysed using a grounded theory approach to identify major themes and subthemes, and a conceptual model of the admission decision-making process was constructed.

PARTICIPANTS

Database entries were included (n=300) if the admission call originated from the emergency department and if the triage physician characterised the request as potentially inappropriate because the patient did not have definite medical acuity.

RESULTS

Admission decision making occurs in three main phases: evaluation of unmet needs, assessment of risk and re-evaluation. Importantly, admission decision making is not solely based on medical acuity or clinical algorithms, and patients without a definite medical need for admission are hospitalised when physicians believe a potential issue exists if discharged. In this way, factors such as homelessness, substance use disorder, frailty, etc, contribute to admission because they raise concern about patient safety and/or barriers to appropriate treatment. Physician decision making can be altered by activities such as care coordination, advocacy by the patient or surrogate, interactions with other physicians or a change in clinical trajectory.

CONCLUSIONS

The decision to admit ultimately remains a clinical determination constructed between physician and patient. Physicians use a holistic process that incorporates broad consideration of the patient's medical and social needs with emphasis on risk assessment; thus, any analysis of hospitalisation trends or efforts to impact such should seek to understand this individual-level decision making.

The impact of COVID-19 on hospital admissions and emergency department visits: A population-based study

Background

As a result of the novel coronavirus disease 2019 (COVID-19), there have been widespread changes in healthcare access. We conducted a retrospective population-based study in Alberta, Canada (population 4.4 million), where there have been approximately 1550 hospital admissions for COVID-19, to determine the impact of COVID-19 on hospital admissions and emergency department (ED visits), following initiation of a public health emergency act on March 15, 2020.

Methods

We used multivariable negative binomial regression models to compare daily numbers of medical/surgical hospital admissions via the ED between March 16-September 23, 2019 (pre COVID-19) and March 16-September 23, 2020 (post COVID-19 public health measures). We compared the most frequent diagnoses for hospital admissions pre/post COVID-19 public health measures. A similar analysis was completed for numbers of daily ED visits for any reason with a particular focus on ambulatory care sensitive conditions (ACSC).

Findings

There was a significant reduction in both daily medical (incident rate ratio (IRR) 0.86, p<0.001) and surgical (IRR 0.82, p<0.001) admissions through the ED in Alberta post COVID-19 public health measures. There was a significant decline in daily ED visits (IRR 0.65, p<0.001) including ACSC (IRR 0.75, p<0.001). The most common medical/surgical diagnoses for hospital admissions did not vary substantially pre and post COVID-19 public health measures, though there was a significant reduction in admissions for chronic obstructive pulmonary disease and a significant increase in admissions for mental and behavioral disorders due to use of alcohol.

Conclusions

Despite a relatively low volume of COVID-19 hospital admissions in Alberta, there was an extensive impact on our healthcare system with fewer admissions to hospital and ED visits. This work generates hypotheses around causes for reduced hospital admissions and ED visits which warrant further investigation. As most publicly funded health systems struggle with health-system capacity routinely, understanding how these reductions can be safely sustained will be critical.

Intention to Use Behavioral Health Data From a Health Information Exchange: Mixed Methods Study

BACKGROUND

Patients with co-occurring behavioral health and chronic medical conditions frequently overuse inpatient hospital services. This pattern of overuse contributes to inefficient health care spending. These patients require coordinated care to achieve optimal health outcomes. However, the poor exchange of health-related information between various clinicians renders the delivery of coordinated care challenging. Health information exchanges (HIEs) facilitate health-related information sharing and have been shown to be effective in chronic disease management; however, their effectiveness in the delivery of integrated care is less clear. It is prudent to consider new approaches to sharing both general medical and behavioral health information.

OBJECTIVE

This study aims to identify and describe factors influencing the intention to use behavioral health information that is shared through HIEs.

METHODS

We used a mixed methods design consisting of two sequential phases. A validated survey instrument was emailed to clinical and nonclinical staff in Alabama and Oklahoma. The survey captured information about the impact of predictors on the intention to use behavioral health data in clinical decision making. Follow-up interviews were conducted with a subsample of participants to elaborate on the survey results. Partial least squares structural equation modeling was used to analyze survey data. Thematic analysis was used to identify themes from the interviews.

RESULTS

A total of 62 participants completed the survey. In total, 63% (n=39) of the participants were clinicians. Performance expectancy (β=.382; P=.01) and trust (β=.539; P<.001) predicted intention to use behavioral health information shared via HIEs. The interviewees (n=5) expressed that behavioral health information could be useful in clinical decision making. However, privacy and confidentiality concerns discourage sharing this information, which is generally missing from patient records altogether. The interviewees also stated that training for HIE use was not mandatory; the training that was provided did not focus specifically on the exchange of behavioral health information.

CONCLUSIONS

Despite barriers, individuals are willing to use behavioral health information from HIEs if they believe that it will enhance job performance and if the information being transmitted is trustworthy. The findings contribute to our understanding of the role HIEs can play in delivering integrated care, particularly to vulnerable patients.

Prevalence and factors associated with depressive and anxiety symptoms in a Chinese population with and without cardiovascular diseases

BACKGROUND

Few data have reported the prevalence of depressive and anxiety symptoms in patients with cardiovascular disease (CVD) in China. Our study aimed to estimate the prevalence and related risk factors of these mental health symptoms.

METHODS

A total of 47841 participants from seven regions of China were enrolled by a two-stage, stratified, community-based, clustering sampling strategy between 2014 and 2016. Data of sociodemographic status and medical history were collected through a standard questionnaire. The Center for Epidemiologic Studies Depression Scale and Zung's self-rating anxiety scale were used to screen depressive and anxiety symptoms.

RESULTS

Among 47588 individuals who completed the self-report questionnaires, the weighted prevalence of depressive symptom was 2.9% and that of anxiety symptom was 1.5%. In females with heart failure (HF) and stroke, prevalence of either depressive and anxiety symptoms were 15.1% and 13.8%, respectively; while 9.4% and 8.4% for the male counterparts. Among patients with ≥ any 3 specific CVDs, the prevalence of having either depressive or anxiety symptoms were 13.1% and 6.8% for females and males, respectively. Younger age, female, unmarried, lower income, and disease history of atrial fibrillation, HF and stroke tend to link with higher risks of mental health symptoms.

LIMITATIONS

Cross-sectional study.

CONCLUSION

A high proportion of patients with CVD had depressive and anxiety symptoms. Screening for mental health symptoms is more important in higher-risk populations who are at younger age, being female, unmarried, with low income, and with diagnoses of atrial fibrillation, HF, and stroke.

The impact of Covid-19 pandemic on community-oriented mental health services: The experience of Friuli Venezia Giulia region, Italy

OBJECTIVES

to assess the changes in prevalence, incidence and hospitalisation rates during the first four months of 2020, compared to the same period of 2019, in Friuli Venezia Giulia Mental Health Departments (MHDs); to analyse the features of MHDs patients tested for Sars-Cov-2, and to monitor whether MHDs applied and adhered to regional recommendations.

METHODS

Observational study using MHDs' administrative data and individual data on suspected and positive cases of Sars-Cov-2. Adherence to recommentations was assessed using 21 indicators. Changes in rates were calculated by Poisson regression analysis, while the Fisher exact test was used for assessing differences between suspected and positive cases.

RESULTS

The decrease in voluntary admission rates on 100,000 inhabitants in hospital services was significantly larger from January to April 2020, compared to the same period of 2019 (P<0.001), while no other data showed a significant decrease. Among the 82 cases tested for Sars-Cov-2, five were positive, and they significantly differ from suspected cases only in that they were at home or in supported housing facilities prior to the test. The MHDs mostly complied with the indicators in the month after the publication of recommendations.

CONCLUSIONS

Outpatient services continued to work normally during the emergency, while hospital services decreased their activities. A low number of positive cases was found among MHDs' users, which might be linked to a rapid reconversion of services, with an extensive use of home visits and telepsychiatry. These preliminary data should be interpreted with caution, due to the small size and the limited period of observation.

Emergent neuroimaging for seizures in epilepsy: A population study

We determined how often patients with epilepsy presented to the emergency department (ED) for seizure and the frequency and predictors for undergoing emergent neuroimaging during those visits. We conducted a retrospective population-based cohort study using administrative claims' data from 2007 to 2015. Adults with epilepsy were identified based on a diagnosis of epilepsy and an outpatient prescription for an antiepileptic medication. The Bonferroni corrected significance level was 0.0018. We identified 381,362 patients with a mean follow-up period of 1.99 years, of whom 35,015 (9.2%) patients presented to the ED for seizure at least once. Patients with at least one ED visit were younger, more likely to be male, had fewer comorbidities, and had longer follow-up as compared with those with no ED visit (all p < 0.001). Among the 35,015 patients presenting to the ED, 13.6% had neuroimaging, mostly commonly head computed tomography (CT; 95.5%). Patients undergoing neuroimaging were younger (46 versus 48 years) and with higher rates of psychosis (17.4% versus 13.8%) and depression (16.1% versus 12.2%; p < 0.001). This helps to quantify the burden of ED and emergent neuroimaging utilization for patients with epilepsy and can help inform efforts to curtail unnecessary neuroimaging.

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

BACKGROUND

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

METHODS AND FINDINGS

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

CONCLUSIONS

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

Pre-Existing and New-Onset Depression and Anxiety Among Workers With Injury or Illness Work Leaves

To examine the influence of depression and/or anxiety on work leaves and the impact of work leaves on experiencing a new-onset depression and/or anxiety disorder.

Patterns of Association between Depressive Symptoms and Chronic Medical Morbidities in Older Adults

OBJECTIVES

To investigate the association between depressive symptoms and several medical morbidities, and their combination, in a large older population.

DESIGN

Cross-sectional study of baseline data from the ASPirin in Reducing Events in the Elderly (ASPREE) trial.

SETTING

Multicentric study conducted in Australia and the United States.

PARTICIPANTS

A total of 19,110 older adults (mean age = 75 years [standard deviation = ±4.5]).

MEASUREMENTS

Depressive symptoms were measured using the Center for Epidemiological Studies Depression (CES-D 10) scale. Medical morbidities were defined according to condition-specific methods. Logistic regression was used to calculate odds ratios (ORs) with 95% confidence intervals (CIs) to test associations before and after accounting for possible confounders.

RESULTS

Depressive symptoms were significantly associated with obesity (OR = 1.19; 95% CI = 1.07-1.32), diabetes (OR = 1.22; 95% CI = 1.05-1.42), gastroesophageal reflux disease (GERD) (OR = 1.41; 95% CI = 1.28-1.57), metabolic syndrome (OR = 1.16; 95% CI = 1.03-1.29), osteoarthritis (OR = 1.41; 95% CI = 1.27-1.57), respiratory conditions (OR = 1.25; 95% CI = 1.10-1.42), history of cancer (OR = 1.19; 95% CI = 1.05-1.34), Parkinson's disease (OR = 2.56; 95% CI = 1.83-3.56), polypharmacy (OR = 1.60; 95% CI = 1.44-1.79), and multimorbidity (OR = 1.29; 95% CI = 1.12-1.49). No significant association was observed between depressive symptoms and hypertension, chronic kidney disease, dyslipidemia, and gout (P > .05). A significant dose-response relationship was evident between the number of medical comorbidities and the prevalence of depression (OR = 1.18; 95% CI = 1.13-1.22).

CONCLUSION

Late-life depressive symptoms are significantly associated with several medical morbidities, and there appears to be a cumulative effect of the number of somatic diseases on the prevalence of depression. These findings augment the evidence for a complex relationship between mental and physical health in an otherwise healthy older population and might guide clinicians toward early recognition of high-risk individuals. J Am Geriatr Soc 68:1834-1841, 2020.