Length of hospital stay and health services use of medical inpatients with comorbid noncognitive mental disorders: a review of the literature

Analysis of hospital costs by morbidity group for patients with severe mental illness

OBJECTIVES

The goal of this study is to analyse hospital costs and length of stay of patients admitted to psychiatric units in hospitals in a European region of the Mediterranean Arc. The aim is to identify the effects of comorbidities and other variables in order to create an explanatory cost model.

METHODS

In order to carry out the study, the Ministry of Health was asked to provide data on access to the mental health facilities of all hospitals in the region. Among other questions, this database identifies the most important diagnostic variables related to admission, like comorbidities, age and gender. The method used, based on the Manning-Mullahy algorithm, was linear regression. The results were measured by the statistical significance of the independent variables to determine which of them were valid to explain the cost of hospitalization.

RESULTS

Psychiatric inpatients can be divided into three main groups (psychotic, organic and neurotic), which have statistically significant differences in costs. The independent variables that were statistically significant (p <.05) and their respective beta and confidence intervals were: psychotic group (19,833.0 ± 317.3), organic group (9,878.4 ± 276.6), neurotic group (11,060.1 ± 287.6), circulatory system diseases (19,170 ± 517.6), injuries and poisoning (21,101.6 ± 738.7), substance abuse (20,580.6 ± 514, 6) and readmission (19,150.9 ± 555.4).

CONCLUSIONS

Unlike most health services, access to psychiatric facilities does not correlate with comorbidities due to the specific nature of this specialization. Patients admitted to psychosis had higher costs and a higher number of average staysKEY MESSAGESThe highest average hospital expenditure occurred in patients admitted for psychotic disorders.Due to the particularities of psychiatry units and unlike other medical specialties, the number of comorbidities did not influence the number of hospital stays or hospital expenditure.Apart from the main diagnostic group, the variables that were useful to explain hospital expenditure were the presence of poisoning and injuries as comorbidity, diseases of circulatory system as comorbidity, history of substance abuse and readmission.

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.

Burden of Mental Illness among Primary HIV Discharges: A Retrospective Analysis of Inpatient Data

Background: Empirical evidence demonstrates the substantial burden of mental illness among people living with HIV and AIDS (PLWHA). Current literature also notes the co-morbidity of these two illnesses and its impact on quality of life and mortality. However, little evidence exists on patient outcomes, such as hospital length of stay or post-discharge status. Methods: A retrospective analysis of National Inpatient Sample data was conducted. The study population was defined as discharges having a primary diagnosis of HIV based on International Classification of Disease, 10th Revision, Clinical Modification (ICD-10-CM) codes in primary diagnosis field. Clinical Classification Software (CCS) codes are used to identify comorbid mental illness. Length of stay was defined as number of days between hospital admission and discharge. Disposition (or post-discharge status) was defined as routine versus not routine. Patient and hospital characteristics were used as control variables. All regression analyses were survey-weighted and adjusted for control variables. Results: The weighted population size (N) for this study was 26,055 (n = 5211). Among primary HIV discharges, presence of any mental illness as a secondary discharge was associated with 12% higher LOS, when compared to a lack of such comorbidity (incidence rate ratio [IRR] = 1.12, 95% confidence interval [CI] = 1.05, 1.22, p < 0.01). Likewise, among primary HIV discharges, those with mental illness had a 21% lower routine disposition, when compared to those without any mental illness (OR = 0.79, 95% CI = 0.68, 0.91, p < 0.001). Conclusion: Our results highlight the need for improved mental health screening and coordinated care to reduce the burden of mental illness among HIV discharges.

Consultation-liaison psychiatry in Japan: a nationwide retrospective observational study

BACKGROUND

Consultation-liaison psychiatry (CLP)-professional psychiatric care provided to coordinate with surgical or medical treatment of inpatients with psychiatric disorders-was included in universal health coverage in Japan in 2012. Despite evidence of benefits of CLP, basic data and geographic distribution information regarding CLP at the national level remain unclear. This study aimed to 1) identify the geographic disparity of CLP in Japan and 2) investigate the association between number of consultations per CLP patient and region.

METHODS

We retrospectively analyzed anonymized data retrieved from the Japanese administrative inpatient database regarding inpatients who were provided CLP between April 2012 and March 2017. Demographic characteristics were summarized and geographic disparity by prefecture was visualized for fiscal years 2012 and 2016; we also summarized the data according to region. Multivariate linear regression analysis was used to investigate association between the number of consultations per CLP patient and region after adjusting for covariates.

RESULTS

Data from a total of 46,171 patients who received 138,866 CLP services were included. Results revealed more patients aged 75-84 years received CLPs than any other age group (29.7%) and the overall male/female ratio was 53:47 in 2016. In 2012 and 2016, 24.2 and 30.7% of CLP patients, respectively, were transferred to other hospitals; 9.7 and 8.8%, respectively, discharged due to the death. CLP services were provided in 14 prefectures in 2012 and 33 by 2016; 14 prefectures had no available CLP services. After adjusting for covariates, Tohoku (β = - 0.220, p < 0.034), Chugoku (β = - 0.160, p < 0.026), and Shikoku (β = - 0.555, p < 0.001) had a significant negative correlation with the number of consultations per CLP patient compared with Hokkaido region (an adjusted R square (R2) = 0.274).

CONCLUSIONS

Our study clarified the characteristics of patients in Japan who received CLPs and the geographic disparity in CLP services. Although 5 years had passed since CLP was introduced, the results imply wide availability of CLP nationally. The analysis data provided may inform future policies to improve CLP services.

Surgical outcomes for people with serious mental illness are poorer than for other patients: a systematic review and meta-analysis

OBJECTIVE

To assess the association between having a serious mental illness and surgical outcomes for adults, including in-hospital and 30-day mortality, post-operative complications, and hospital length of stay.

STUDY DESIGN

Systematic review and meta-analysis of publications in English to 30 July 2018 of studies that examined associations between having a serious mental illness and surgical outcomes for adults who underwent elective surgery. Primary outcomes were in-hospital and 30-day mortality, post-operative complications, and length of hospital stay. Risk of bias was assessed with the Quality in Prognosis Studies (QUIPS) tool. Studies were grouped by serious mental illness diagnosis and outcome measures. Odds ratios (ORs) or mean differences (MDs), with 95% confidence intervals (CIs), were calculated in random effects models to provide pooled effect estimates.

DATA SOURCES

MEDLINE, EMBASE, PsychINFO, and the Cochrane Library.

DATA SYNTHESIS

Of the 3824 publications identified by our search, 26 (including 6 129 806 unique patients) were included in our analysis. The associations between having any serious mental illness diagnosis and having any post-operative complication (ten studies, 125 624 patients; pooled effect: OR, 1.44; 95% CI, 1.15-1.79) and a longer stay in hospital (ten studies, 5 385 970 patients; MD, 2.6 days; 95% CI, 0.8-4.4 days) were statistically significant, but not those for in-hospital mortality (three studies, 42 926 patients; OR, 1.21; 95% CI, 0.69-2.12) or 30-day mortality (six studies, 83 013 patients; OR, 1.85; 95% CI, 0.86-3.99).

CONCLUSIONS

Having a serious mental illness is associated with higher rates of post-operative complications and longer stays in hospital, but not with higher in-hospital or 30-day mortality. Targeted pre-operative interventions may improve surgical outcomes for these vulnerable patients.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO, CRD42018080114 (prospective).

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.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

Frequency and predictors of perioperative psychiatric symptom worsening among patients with psychiatric disorders

OBJECTIVE

This study aimed to clarify the frequency of perioperative psychiatric symptom worsening among patients with psychiatric disorders and investigate factors predictive of symptom aggravation.

METHOD

This study adopted a retrospective cohort study design. The sample consisted of perioperative inpatients who were diagnosed with psychiatric disorders on admission and received psychiatric intervention between January 1, 2015 and November 31, 2017.

RESULTS

Of 176 inpatients who met our inclusion criteria, 15 (8.5%) exhibited symptom worsening. Factors associated with symptom worsening included changes in surface morphology during surgery (p<0.01; odds ratio (OR)=10.58; 95% confidence interval (CI), 3.40-32.87), otolaryngological surgery (p=0.01; OR=6.95; 95% CI, 1.81-26.75), stay in the intensive care unit (p<0.01; OR=5.65; 95% CI, 1.79-17.81), and surgery duration longer than 180min (p=0.03; OR=3.40; 95% CI, 1.04-11.13).

CONCLUSION

This was the first retrospective analysis to focus on the perioperative worsening of psychiatric symptoms. As only few inpatients exhibited symptom aggravation, general hospitals without psychiatric beds can receive perioperative patients with psychiatric comorbidity. However, caution should be exercised to address the potential worsening of symptoms in cases of surface-morphology changing surgery, otolaryngological surgery, long-duration operations, and when ICU stay is required.

Hospital length of stay variation and comorbidity of mental illness: a retrospective study of five common chronic medical conditions

BACKGROUND

With the increasing burden of mental illness globally, it is becoming common for hospitalised patients with chronic medical conditions to have a comorbidity of mental illness. This combination could prolong length of stay (LOS) of this patient cohort. We conducted an investigation in Tasmania, Australian hospitals to characterise this cohort and assess if co-morbidity of mental illness is a distinguishing factor that generates LOS variation across different chronic medical conditions.

METHODS

The retrospective study analysed 16,898 admissions of patients with a primary diagnosis of one of five chronic medical conditions: lung or colorectal cancer, chronic obstructive pulmonary disease (COPD), type II diabetes, ischaemic heart disease (IHD) and stroke. Data were from July 2010 to June 2015, across four hospitals that collectively cover 95% of public hospital admissions in Tasmania, Australia. Descriptive statistics were used to compare characteristics of patients between the scenarios of with and without co-morbidity of mental illness. We used negative binomial regression models to assess whether co-morbidity of mental illness, along with its sub-types, after adjustment for potential confounding variables, associated with LOS variation in patients of each medical condition. Based on the adjusted LOS variation, we estimated differences in bed days' use between patients with and without comorbidity of mental illness.

RESULTS

Patients with co-morbidity of mental illness were significantly younger in comparison to patients without mental illness. With each medical condition, patients with comorbidity of mental illness had incurred higher bed days' use than for those without mental illness. In cancer and stroke cohorts, co-morbidity of mental illness unfavourably affected the LOS variation by as high as 97% (CI: 49.9%-159%) and 109% (78%-146%), respectively. Though mental and behavioural disorders due to psychoactive substances was a dominant sub-type of mental illness across the medical conditions, it contributed significant unfavourable LOS variation only in the stroke patients i.e. 36.3% (CI: 16.2%-59.9%).

CONCLUSIONS

Mental illness consistently produced unfavourable LOS variation. Upskilling of healthcare teams and greater reporting and analysis of LOS variation for this patient cohort, and the sub-cohorts within it, are necessary to provide improved medical care and achieve system efficiencies.

Prevalence of mental diseases in Austria : Systematic review of the published evidence

BACKGROUND

Addressing the growing burden of mental diseases is a public health priority. Nevertheless, many countries lack reliable estimates of the proportion of the population affected, which are crucial for health and social policy planning. This study aimed to collect existing evidence on the prevalence of mental diseases in Austria.

METHODS

A systematic review was conducted using MeSH, EMTREE and free-text terms in seven bibliographic databases. In addition, the references of included papers and relevant Austria-specific websites were searched. Articles published after 1996 pertaining to the Austrian adult population and presenting prevalence data for mental diseases were included in the analysis.

RESULTS

A total of 2612 records were identified in the database search, 19 of which were included in the analysis, 13 were community-based studies and 6 examined institutionalized populations. Sample sizes ranged from 200 to 15,474. The evidence was centered around depression (n = 6, 32%), eating disorders (n = 4, 21%) and alcohol dependence (n = 3, 16%). While most studies (n = 10, 53%) used questionnaires and scales to identify mental diseases, seven studies used structured clinical interviews, and two studies examined use of psychotropic drugs. Due to the diversity of methodologies, no statistical pooling of prevalence estimates was possible.

CONCLUSION

Information on the prevalence of mental diseases in Austria is limited and comparability between studies is restricted. A variety of diagnostic instruments, targeted populations and investigated diseases contribute to discrepancies in the prevalence rates. A systematic, large-scale study on the prevalence of mental diseases in Austria is needed for comprehensive and robust epidemiological evidence.

Hospital costs associated with psychiatric comorbidities: a retrospective study

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

Why are hospital doctors not referring to Consultation-Liaison Psychiatry? - a systemic review

BACKGROUND

Consultation-Liaison Psychiatry (CLP) is a subspecialty of psychiatry that provides care to inpatients under non-psychiatric care. Despite evidence of benefits of CLP for inpatients with psychiatric comorbidities, referral rates from hospital doctors remain low. This review aims to understand barriers to CLP inpatient referral as described in the literature.

METHODS

We searched on Medline, PsychINFO, CINAHL and SCOPUS, using MESH and the following keywords: 1) Consultation-Liaison Psychiatry, Consultation Liaison Psychiatry, Consultation Psychiatry, Liaison Psychiatry, Hospital Psychiatry, Psychosomatic Medicine, the 2) Referral, Consultation, Consultancy and 3) Inpatient, Hospitalized patient, Hospitalized patient. We considered papers published between 1 Jan 1965 and 30 Sep 2015 and all articles written in English that contribute to understanding of barriers to CLP referral were included.

RESULTS

Thirty-five eligible articles were found and they were grouped thematically into three categories: (1) Systemic factors; (2) Referrer factors; (3) Patient factors. Systemic factors that improves referrals include a dedicated CLP service, active CLP consultant and collaborative screening of patients. Referrer factors that increases referrals include doctors of internal medicine specialty and comfortable with CLP. Patients more likely to be referred tend to be young, has psychiatric history, live in an urban setting or has functional psychosis.

CONCLUSION

This is the first systematic review that examines factors that influence CLP inpatient referrals. Although there is research in this area, it is of limited quality. Education could be provided to hospital doctors to better recognise mental illness. Collaborative screening of vulnerable groups could prevent inpatients from missing out on psychiatric care. CLP clinicians should use the knowledge gained in this review to provide quality engagement with referrers.

Psychiatric illness and length of stay in general hospitals: do case finding methods matter?

OBJECTIVE

Several prior studies have investigated whether patients with "non-cognitive" mental disorders (i.e., organic disorders, substance abuse, delirium, and psychotic disorders excluded) have longer Length Of Stay (LOS) than mentally healthy individuals in nonpsychiatric hospital settings. These studies yielded contrasting results. The present paper aims to examine whether methods of psychiatric case finding can explain these differences.

METHODS

Using the Clinical Interview Schedule (CIS) and the General Health Questionnaire (GHQ), 462 in-patients of medical, surgical, gynecological, and rehabilitation departments were assessed for the presence of psychiatric disorders.

RESULTS

In multiple regression analysis, all CIS-cases together did not show an association with LOS. Of the diagnostic groups assessed by CIS only major depression showed a significantly prolonged LOS. Using the GHQ sum-score as a continuous variable, LOS was significantly increased while using the GHQ as a dichotomous variable did not show such an association. After removing those suffering from multiple psychiatric diagnoses (such as major depression co-morbid with organic mental illness), none of the case definitions showed a significant association with LOS.

CONCLUSIONS

It seems that different case finding methods yield different results concerning the association of psychiatric disorders with LOS. When interpreting these results the small size of some subsamples must be taken into consideration.

Influence of psychiatric disorders on surgical outcomes and care resource use in Japan

OBJECTIVE

The aim of this study was to quantify the effects of psychiatric disorders on major surgery outcomes and care resource use.

METHODS

This study adopted a retrospective cohort study design. The samples consisted of hospital stays. Subjects were patients who had undergone major surgery. We used multilevel regression analysis to quantify the influence of psychiatric disorders on major surgery outcomes and care resource use.

RESULTS

The total number of hospital stays included in the study was 5569, of which 250 were patients with psychiatric disorders. Compared with those without psychiatric disorders, those with schizophrenia had a significantly higher risk of complications, and those with neurotic disorder tended to have fewer complications. Total cost was significantly higher for those with schizophrenia and mood disorder and significantly lower in those with neurotic disorder. Lengths of stay were significantly longer for those with schizophrenia and mood disorder but not for those with neurotic disorder. Post-surgical mortality was equivalent among those with any psychiatric disorder and among those without a psychiatric disorder.

CONCLUSION

The study revealed that surgical outcomes and care resource use are differentiated by psychiatric disorders.

Disparities in treatment of people with mental disorder in non-psychiatric hospitals: a review of the literature

People with mental disorder experience a heavy burden of physical ill-health. This, alongside structural health-system changes, means more people with mental disorder are being cared for in non-psychiatric hospitals. This article reports on 32 studies that have investigated the care and outcomes of people with comorbid mental and physical health problems in non-psychiatric hospitals. Prevalence of mental disorder ranged between 4%-46%, and rates of psychiatric referral was 2%-10%. The receipt of invasive cardiac procedures was markedly reduced for those with mental disorder. Likelihood of experiencing an adverse event, post-operative complication or increased length of stay was also elevated for those with mental disorder.

Peripartum length of stay for women with depressive symptoms during pregnancy

BACKGROUND

Approximately 1 in 10 women suffers from depression during pregnancy. Little is known about whether antepartum depression affects a mother's length of stay at delivery. We aimed to compare peripartum length of stay in women with and without depressive symptoms during pregnancy.

METHODS

This study involved secondary data analysis of a larger study exploring antepartum depression. Each subject completed the Center for Epidemiological Studies Depression Scale (CES-D). We used bivariate analyses to compare patient characteristics of women with and without an elevated CES-D, and we used a multivariate Poisson regression to evaluate predictors of length of stay.

RESULTS

The study sample included 867 pregnant women. Overall, 18% of study subjects scored >or=16 on the CES-D. In bivariate analyses, a longer stay was associated with an elevated CES-D and minority race, antepartum complications, cesarean delivery, prematurity, multiple gestation, and neonatal length of stay. In the final multivariate model adjusting for sociodemographic, antepartum, and obstetric factors, an elevated CES-D was associated with a significantly longer peripartum stay (0.26 days, CI 0.04-0.48).

CONCLUSIONS

Depressive symptoms during pregnancy predict an increase in peripartum length of stay.

Psychological distress is associated with a range of high-priority health conditions affecting working Australians

BACKGROUND

Psychological distress is growing in prevalence in Australia. Comorbid psychological distress and/or depressive symptoms are often associated with poorer health, higher healthcare utilisation and decreased adherence to medical treatments.

METHODS

The Australian Work Outcomes Research Cost-benefit (WORC) study cross-sectional screening dataset was used to explore the association between psychological distress and a range of health conditions in a sample of approximately 78,000 working Australians. The study uses the World Health Organization Health and Productivity Questionnaire (HPQ), to identify self-reported health status. Within the HPQ is the Kessler 6 (K6), a six-item scale of psychological distress which strongly discriminates between those with and without a mental disorder. Potential confounders of age, sex, marital status, number of children, education level and annual income were included in multivariate logistic regression models.

RESULTS

Psychological distress was significantly associated with all investigated health conditions in both crude and adjusted estimates. The conditions with the strongest adjusted association were, in order from highest: drug and alcohol problems, fatigue, migraine, CVD, COPD, injury and obesity.

CONCLUSIONS

Psychological distress is strongly associated with all 14 health conditions or risk factors investigated in this study. Comorbid psychological distress is a growing public health issue affecting Australian workers.

Anxiety and depression in Brazilian orthopaedics inpatients: a cross sectional study with a clinical sample comparison

There are few studies on the development of anxiety and depression in orthopaedics and trauma (O&T) inpatients. We designed a cross-sectional study aimed at comparing the prevalence of depression and anxiety in 100 O&T inpatients and 100 clinical inpatients in the same hospital. O&T patients were divided into subgroups: trauma and non-trauma (arthroplasty, tumour, and infection sub grouping). We measured anxiety and depression by the Hospital Anxiety and Depression Scale and co-morbidities by the Charlson age-adjusted comorbidity index (CCI). For the trauma subgroup, AO/OTA fracture classification and Gustillo and Anderson grade of open fractures classification was applied. The prevalence of anxiety and depression was 35% and 28%, respectively for the clinical sample, and 44% and 33% for the O&T sample. Compared with the clinical sample, anxiety scores were higher in the O&T sample (p = .047), and in arthroplasty (p = .020) and trauma subgroups (p = .031). In the O&T sample, high CCI scores were associated with high anxiety scores (p = .033).

An examination of the services provided by Psychiatric Consultation Liaison Nurses in a general hospital

The political, professional and economic context in which mental health care is delivered has witnessed significant changes in recent times. The movement of psychiatric patients from institutions to community settings has seen the emphasis of the loci of care delivery shifting with increasing numbers presenting to general hospitals. The speciality of the Psychiatric Consultation Liaison Nurse (PCLN) has emerged as a bridge between mental health and general hospital services. A descriptive, non-experimental research approach was employed to establish patient profiles and to provide an overview of the depth of service provision. This design was selected as the most appropriate because of the limited information on the PCLN in an Irish setting and secondly, as the study was limited to one rural geographical location. A questionnaire was utilized to collate the details of patients who had received a mental health assessment. The findings presented here are the profiles of patients assessed by the PCLN during the 3-month study period. The results add further credence to the existing evaluative studies in presenting the characteristics of patients within the Irish context and further contribute to the unique body of evidence that defines the mental health nurse in an advancing role.

Estimating the potential savings with vagus nerve stimulation for treatment-resistant depression: a payer perspective

OBJECTIVE

To provide a formula estimating potential reductions in healthcare utilization costs with adjunctive vagus nerve stimulation (VNS Therapy) in treatment-resistant depression (TRD).

METHODS

This payer-perspective formula incorporates costs of treatment as usual for TRD patients from a published analysis of the MarketScan private payer claims database and the 2004 Medicare 5% standard analytic file. Estimated remission and response rates are from the published VNS pilot and pivotal studies. Costs were converted to 2008 US dollars per the US Bureau of Labor Statistics medical care costs, consumer price index. Device and implantation costs were calculated at $28,336.

RESULTS

From the MarketScan and pooled outcomes data (VNS pilot and pivotal studies), potential per patient savings (hospitalization directly and indirectly related to depression) was $2974 at 5 years of device life, $23,539 at 8 years (moderate cost reduction scenario); $12,914 at 5 years, $40,935 at 8 years (optimistic scenario). Corresponding break-even device life was 4.57 and 3.62 years, respectively. From the Medicare file and pooled outcomes, potential per patient savings (inpatient and outpatient directly and indirectly related to depression) was $8358 at 5 years of device life, $32,385 at 8 years (moderate scenario); $19,837 at 5 years, $52,473 at 8 years (optimistic scenario). Corresponding break-even device life was 3.96 and 3.18 years, respectively.

CONCLUSIONS

The formula allows an evaluation of expected reductions in healthcare costs as a function of input cost variables, efficacy rates, and benefit scenarios. Cited costs differ relative to care settings, diagnostic principles, and procedural volume. This formula can help assess moderate-to-longer-term economic benefits of VNS for a particular institution. Results suggested that potential reductions in healthcare costs with VNS for TRD may be substantial. Break-even device life for the scenarios presented ranges between 2.3 and 5.7 years.

Effects of a multifaceted psychiatric intervention targeted for the complex medically ill: a randomized controlled trial

BACKGROUND

This study evaluated a multifaceted psychiatric intervention targeted at the complex medically ill identified by means of the INTERMED, an instrument to assess case complexity.

METHODS

Of 885 rheumatology inpatients and diabetes outpatients who were assessed for eligibility, 247 were identified as complex (INTERMED score >20) and randomized to the intervention (n = 125, 84 rheumatology and 41 diabetes patients) or care as usual (n = 122, 78 rheumatology and 44 diabetes patients). For the majority of the cases the multifaceted intervention consisted of an intervention conducted by a psychiatric liaison nurse and/or of referral to a liaison psychiatrist, followed by advice to the treating physician or organization of a multidisciplinary case conference. Baseline and follow-up at months 3, 6, 9 and 12 measured prevalence of major depression (Mini-International Neuropsychiatric Interview), depressive symptoms (Center for Epidemiological Studies Depression Rating Scale), physical and mental health (SF-36), quality of life (EuroQol), health care utilization and HbA(1c) levels (diabetic patients).

RESULTS

Prevalence of major depression was reduced from 61% (T0) to 28% (T4) in the intervention group and remained stable in care as usual (57% at T0 to 50% at T4). Compared to care as usual, significant improvement over time was observed in the intervention group with regard to depressive symptoms (F = 11.9; p = 0.001), perception of physical (F = 5.7; p = 0.018) and mental health (F = 3.9; p = 0.047) and quality of life (F = 21.8; p < 0.001). Effects tended to be stronger in diabetes patients, in patients with baseline major depression and in patients with moderate INTERMED scores. Finally, hospital admissions occurred less often in the intervention group, reaching statistical significance for the period between 6 and 9 months of follow-up (p = 0.02).

CONCLUSIONS

The results suggest that a psychiatric intervention targeted for complex medical patients can improve health outcomes.

Gender differences in morbidity and health care utilization among adult obstructive sleep apnea patients

STUDY OBJECTIVE

To explore gender differences in morbidity and total health care utilization 5 years prior to diagnosis of obstructive sleep apnea (OSA).

DESIGN

Case-control study; patients were recruited between January 2001 and April 2003.

SETTING

Two university-affiliated sleep laboratories.

PATIENTS

289 women (22-81 years) with OSA were matched with 289 men with OSA for age, body mass index (BMI), and apnea-hypopnea index (AHI). All OSA patients were matched 1:1 with healthy controls by age, geographic area, and primary physician.

MEASUREMENTS AND RESULTS

Women with OSA compared to men with OSA have lower perceived health status and Functional Outcomes of Sleep Questionnaire score (54.5% vs. 28.4%, P <0.05 and 67.5+/-21.4 vs. 76+/-20.1, P <0.05, respectively). Compared to men with OSA, women with OSA have higher risk of hypothyroidism (OR 4.7; 95% CI, 2.3-10) and arthropathy (OR 1.6, 95% CI, 1.1-2.2) and lower risk for CVD (OR 0.7; 95% CI, 0.5-0.91). Compared to controls, both women and men with OSA had 1.8 times higher 5-year total costs (P <0.0001). Compared to men with OSA, expenditures for women with OSA are 1.3 times higher (P <0.0001). The multiple logistic regression (adjusting for BMI, AHI) revealed that age (OR 1.04; 95% CI, 1.01-1.07), antipsychotic and anxiolytic drugs (OR 2.3; 95% CI, 1.2-4.4), and asthma (OR 2.4; 95% CI, 1.1-5.6) are independent determinants for "most costly" OSA women.

CONCLUSION

Compared to men with similar OSA severity, women are heavier users of health care resources. Low FOSQ score and poor perceived health status in addition to overuse of psychoactive drugs are associated with high health care utilization among women with OSA.

Evaluation and Pharmacologic Management of Symptoms in Cancer Patients Undergoing Acute Rehabilitation in a Comprehensive Cancer Center

OBJECTIVES

To identify cancer patients' symptoms at admission and on discharge from an acute rehabilitation unit, to document the discharge medications used for symptom management, and to assess how symptoms affect lengths of stay (LOS).

DESIGN

Retrospective chart review.

SETTING

Acute inpatient rehabilitation unit within a tertiary cancer center.

PARTICIPANTS

Ninety-six patients (49 men, 47 women) were admitted to an acute inpatient rehabilitation unit. The median age was 64 years (range, 26-87y).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURE

Edmonton Symptom Assessment Scale (ESAS) scores at admission and on discharge.

RESULTS

The most intense symptom (mean ESAS visual analog scale score +/- standard deviation) on admission was poor appetite (3.7+/-3.3), followed by fatigue (3.4+/-2.6). Similar results were found for the 63 patients with ESAS scores available at both time points. On discharge, poor appetite (2.2+/-2.4) was still the most intense symptom reported, again followed by fatigue (2.2+/-2.1). There were significant improvements in anxiety (P=.001), constipation (P=.001), fatigue (P=.002), pain (P=.003), appetite (P=.004), sense of well-being (P=.01), and insomnia (P=.04). Seventy percent (65/93) of patients received discharge prescriptions for symptom control, with analgesics being the most frequently prescribed. The poor appetite and depression admission scores correlated positively with hospital LOS (P<.001, P=.05, respectively).

CONCLUSIONS

Assessment of symptoms revealed significant symptom burdens in cancer patients undergoing rehabilitation. Pharmacologic interventions for management of symptoms were frequently needed.

Gender and health care utilization: The role of mental distress and help-seeking propensity

Many studies report higher levels of health care utilization among women. Understanding how gender influences health care utilization is still unresolved. We developed a model that could explain these gender-related differences. The possible pathways assumed by this model that relate gender to utilization, can be summarized as follows: (1) utilization may be influenced by somatic morbidity, mental distress, perceived symptoms, poor subjective health and propensity to use services; (2) women have higher levels of these variables than men (mediating effect); and (3) the direct effects of some of these variables on utililization are moderated by gender, i.e. they are stronger for women than for men (moderating effect). Data were drawn from a community-based sample of adult enrollees of a sickness fund in the Netherlands, who had responded to a mailed health survey (N = 8698). This survey contained questions on somatic morbidity, mental distress and other mediating variables. Health care utilization was measured prospectively, using data extracted from a claims database held by the sickness fund that covers all types of general health services except general practitioner consultations. The model was tested using structural equation modelling. Women reported more somatic morbidity and mental distress than men did, as well as elevated levels of other mediating variables, which might explain-at least partly-gender related differences in utilization. Differences in propensity to use services were not found. The expected moderating effect of gender could not be demonstrated. That is, we did not find gender related differences in the strength of the relations between mental distress, other mediating variables and utilization. Mental distress is related to utilization in a way that is not gender specific, however, because women report higher levels of mental distress (as well as somatic morbidity), this results in a greater utilization of somatic health care services.

Is the impact of depressive complaints on the use of general health care services dependent on severity of somatic morbidity?

OBJECTIVE

The aim of this study was to examine the effects of depressive complaints and chronic medical illnesses on prospective somatic health care utilization and the possible heterogeneity of the effect of depressive complaints across levels of medical illness severity.

METHODS

Data from a community-based sample of adults (n=9428) were used, of whom a health survey and claims data, indicating health care use, were available. Assessments of depressive complaints and somatic illnesses were based on self-report. Binomial regression analyses were used to study the expected relations.

RESULTS

Depressive complaints and somatic morbidity were both positively related to general health care utilization. Somatic morbidity has an attenuating effect on the impact of depressive complaints: If it becomes more severe, the impact of depressive complaints on utilization is reduced. Depressive complaints are especially related to the use of paramedic services, use of prescription drugs, and consultations of medical specialists.

CONCLUSION

Depressive complaints predict somatic health care utilization, but somatic morbidity attenuates this relation. Future research on this subject should include interaction effects of depressive complaints and somatic morbidity. Interventions aiming to reduce excess use related to mental distress should be primarily targeted on subjects with mental distress who have no comorbid somatic morbidity.

Post-hospitalization transitional care needs of depressed elderly patients: models for improvement

PURPOSE OF REVIEW

In the weeks immediately following psychiatric hospital discharge, severely depressed elderly patients are at risk of 'falling through the cracks' in a complex health care system: becoming lost to follow-up, receiving inadequate care, or requiring prompt readmission. The purpose of this review is to highlight recent literature on the comorbid physical health problems and complex care needs of elderly patients hospitalized for depression. This paper will also review recent initiatives to improve the quality of care transitions for elderly patients discharged from medical hospitals that may be adaptable to a severely depressed population.

RECENT FINDINGS

Due to shorter hospital stays, comorbid physical health problems, and limitations in functional capacity, severely depressed elderly patients discharged from psychiatric hospitals have complex service needs, and numerous barriers to care, immediately following hospital discharge. There is a lack of research specifically addressing the transitional care needs of this population. Improvement interventions assigning transitional care providers to chronically medically ill elderly patients immediately after medical hospital discharge have shown decreased rates of rehospitalization and emergency services utilization, and appear to be cost-effective.

SUMMARY

Further research is needed to adapt successful transitional care interventions targeting chronically ill elderly patients in medical hospitals to severely depressed elderly patients being discharged from psychiatric hospitals.