Systematic review and assessment of validated case definitions for depression in administrative data

Prevalence and characteristics of preoperative patients with depression

BACKGROUND

Within the perioperative period, depression-related diagnoses are associated with postoperative complications. We developed a perioperative depression screening programme to assess disease prevalence and feasibility for intervention.

METHODS

Adult patients in multiple surgical departments at a single academic centre were screened for depression via the electronic health record patient portal or preoperative anaesthesia clinic before surgery, using the Patient Health Questionnaire (PHQ)-2 and -8. We utilised a broad method, screening all patients, and a focused method, only screening patients with a history of depression. Logistic regression was used to identify characteristics associated with clinically significant depression (PHQ-8 ≥10). Symptomatic patients were administered a brief psychoeducational intervention and referred for mental health services.

RESULTS

A total of 3735 patients were identified by the broad and focused screens, of whom 2940 (79%) returned PHQ-2 data and were included in analysis. The broad screen (N=1216) found 46 (4%) patients who reported symptoms of moderate or greater severity. The focused screen (N=1724) found 242 (14%) patients with symptoms of moderate or greater severity and over all higher rates of depression across the symptom severity scale. Using the total screened pool, logistic regression identified a history of depression as the strongest associated patient characteristic variable but this did not capture most cases. Finally, we found that 66% of patients who were contacted about mental health services accepted referrals or sought outside care.

CONCLUSIONS

At least 4% of preoperative patients have clinically significant symptoms of depression, most of whom do not have a chart history of depression.

Risk of Recurrent Stroke and Mortality Among Black and White Patients With Poststroke Depression

BACKGROUND

Poststroke depression (PSD) is a treatable and common complication of stroke that is underdiagnosed and undertreated in minority populations. We compared outcomes of Black and White patients with PSD in the United States to assess whether race is independently associated with the risk of recurrent stroke and mortality.

METHODS

We used deidentified Medicare data from inpatient, outpatient, and subacute nursing facilities for Black and White US patients from January 1, 2016, to December 31, 2019, to perform this retrospective cohort analysis. International Classification of Diseases, Tenth Revision codes were used to identify patients diagnosed with depression within 6 months of index stroke with no depression diagnosis 1-year preceding index stroke. We performed an unadjusted Kaplan-Meier analysis of the cumulative risk of recurrent stroke up to 3 years after index acute ischemic stroke admission and all-cause mortality following acute ischemic stroke stratified by Black and White race. We performed adjusted and reduced Cox regression to calculate hazard ratios for the main predictor of race (Black versus White), for recurrent stroke and all-cause mortality, adjusting for sociodemographic characteristics, comorbidities, characteristics of the hospitalization, and acute stroke interventions.

RESULTS

Of 474 770 Medicare patients admitted with acute index stroke, 443 486 were categorized as either Black or White race and 35 604 fulfilled our criteria for PSD. Within the PSD cohort, 25 451 (71.5%) had no death or recurrent stroke within 6 months and 5592 (15.7%) had no death or readmission of any cause within 6 months. Black patients with PSD had a persistently elevated cumulative risk of recurrent stroke compared with White patients with PSD up to 3 years following acute ischemic stroke (log-rank P=0.0011). In our reduced multivariable model, Black patients had a 19.8% (hazard ratio, 1.198 [95% CI, 1.022-1.405]; P=0.0259) greater risk of recurrent stroke than White patients. The unadjusted cumulative risk of all-cause mortality was higher in this cohort of older White patients with PSD compared with Black patients; however, this difference disappeared with adjustment for age and other cofactors.

CONCLUSIONS

Black patients with PSD face a persistently elevated risk of recurrent stroke compared with White patients but a similar risk of all-cause mortality. Our findings support that black race is an independent predictor of recurrent stroke in patients with PSD and highlight the need to address social determinants of health and systemic racism that impact poststroke outcomes among racial minorities.

Impact of overdose on health plan disenrollment among patients prescribed long-term opioids: Retrospective cohort study

CONTEXT

Health plan disenrollment may disrupt chronic or preventive care for patients prescribed long-term opioid therapy (LTOT).

PURPOSE

To assess whether overdose events in patients prescribed LTOT are associated with subsequent health plan disenrollment.

DESIGN

Retrospective cohort study.

SETTING AND DATASET

Data from the Optum Labs Data Warehouse which includes de-identified medical and pharmacy claims and enrollment records for commercial and Medicare Advantage enrollees. The database contains longitudinal health information on patients, representing a mixture of ages and geographical regions across the United States.

PATIENTS

Adults prescribed stable opioid therapy (≥10 morphine milligram equivalents/day) for a 6-month baseline period prior to an index opioid prescription from January 1, 2018 to December 31, 2018.

MAIN MEASURES

Health plan disenrollment during follow-up.

RESULTS

The cohort comprised 404,151 patients who were followed up after 800,250 baseline periods of stable opioid dosing. During a mean follow-up of 9.1 months, unadjusted disenrollment rates among primary commercial beneficiaries and Medicare Advantage enrollees were 37.2 and 13.9 per 100 person-years, respectively. Incident overdoses were associated with subsequent health plan disenrollment with a statistically significantly stronger association among primary commercial insurance beneficiaries [adjusted incidence rate ratio (aIRR) 1.48 (95% CI: 1.33-1.64)] as compared to Medicare Advantage enrollees [aIRR 1.15 (95% CI: 1.07-1.23)].

CONCLUSIONS

Among patients prescribed long-term opioids, overdose events were strongly associated with subsequent health plan disenrollment, especially among primary commercial insurance beneficiaries. These findings raise concerns about the social consequences of overdose, including potential health insurance loss, which may limit patient access to care at a time of heightened vulnerability.

Depression Onset After a Spouse's Cardiovascular Event

Importance

Although cardiovascular disease (CVD) is a known risk factor for depression, evidence is lacking regarding whether and to what extent a spouse's CVD is associated with the subsequent mental health of individuals.

Objective

To examine the association between CVD onset in spouses and subsequent depression.

Design, Setting, and Participants

This cohort study examined 277 142 matched married couples enrolled in the Japan Health Insurance Association health insurance program between April 2015 and March 2022, covering approximately 40% of the working-age population in Japan. Index individuals (primary insured) whose spouses (dependent) experienced incident CVD between April 2016 and March 2022 were 1:1 matched to controls whose spouses did not experience CVD. Matching was based on age, sex, income, or the onset date of the spouses' CVD. Data analysis was conducted from April 2016 to March 2022.

Exposure

Spousal onset of CVD between fiscal years 2016 and 2021. The International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes were used to identify the composite CVD outcomes (stroke, heart failure, and myocardial infarction).

Main Outcomes and Measures

Multivariate Cox proportional hazards models were used to investigate the association between spouses' new-onset CVD and individuals' depression, adjusting for sociodemographic characteristics and comorbidities of index individuals (diabetes, hypertension, and CVD) and spouses (diabetes, hypertension, and depression). Subgroup analyses were conducted according to sex, age, income levels, and history of CVD.

Results

Among 277 142 matched pairs of married couples, 263 610 (95.1%) had a male index individual; the mean (SD) age of index individuals was 58.2 (10.2) years. A new onset of depression was observed in 4876 individuals (1.8%). In multivariable Cox models, there was an association between the spouse's CVD and the individuals' depression (hazard ratio, 1.13 [95% CI, 1.07-1.20]). The subgroup analysis found no evidence of heterogeneity in sex, age, income level, or CVD history. The results were consistent when additionally adjusted for health behaviors (smoking, alcohol consumption, physical activity, and use of antihypertensive drugs) and objectively measured physical health conditions (body mass index, blood pressure, cholesterol levels, glucose levels, and estimated glomerular filtration rate) (hazard ratio, 1.16 [95% CI, 1.06-1.28]).

Conclusions and Relevance

In this nationwide cohort study of matched couples, a spouse's onset of CVD was associated with an increased risk of an individual's depression. These findings highlight the importance of preventive care for mental health disorders in individuals whose spouses experience incident CVD.

Delivery of bright light therapy within the Veterans Health Administration

BACKGROUND

Bright light therapy (BLT) is efficacious for seasonal and non-seasonal depression. However, the current state of BLT use in practice is unknown, impeding efforts to identify and address utilization gaps. This study's objective was to investigate BLT delivery in a nationwide U.S. healthcare system.

METHODS

This was a retrospective observational study of electronic medical records from all veterans who received outpatient mood disorder-related care in the Veterans Health Administration (VHA) from October 2008 through September 2020. BLT delivery was measured through the placement of light box consults.

RESULTS

Of the 3,442,826 veterans who received outpatient mood disorder care, only 57,908 (1.68 %) received a light box consult. Consults increased by 548.44 % (99.9 % credible interval: 467.36 %, 638.74 %) over the timeframe and displayed a robust yearly cycle that peaked on either December 21st or December 22nd. Past mental health treatment for a mood disorder was associated with a higher probability of a consult (relative risk = 4.79, 99.9 % CI: 4.21, 5.60). There was low representation related to veteran age, gender, race, and ethnicity.

LIMITATIONS

No information on patients who declined light boxes or actual light box use following consult placement.

CONCLUSIONS

Outpatient BLT delivery for mood disorders in the VHA remains low, despite significant growth over the past decade. It also displays a strong seasonal rhythm that peaks on the winter solstice, suggesting a limited focus on seasonal depression and a suboptimal reactive approach to changing sunlight. Overall, there exists ample opportunity for novel implementation efforts aimed at increasing utilization of BLT.

The Association Between Mental Health, Substance Use Disorder, and Outcomes After Total Joint Arthroplasty

BACKGROUND

Prior studies suggest that distressed patients or those who have poor mental health have inferior postoperative outcomes when compared to nondistressed patients. However, these studies typically do not account for substance use or other comorbidities often found in this population, which can independently contribute to postoperative complications. This study sought to control for these factors and assess if a diagnosis of a mental health condition is directly associated with worse outcomes after total joint arthroplasty.

METHODS

A retrospective chart review was performed for 3,182 patients who underwent a total hip arthroplasty and 4,430 patients who underwent a total knee arthroplasty. Diagnosis of the mental health disorders included depression, anxiety disorder, adjustment disorder, bipolar disorder, trauma, stressor-related disorder, and schizophrenia or schizoaffective disorder. Multivariable analyses were performed to control for alcohol use, drug use, tobacco use, body mass index, and a comorbidity index.

RESULTS

When controlling for body mass index and Charlson comorbidity index, no statistically significant associations were found between a diagnosis of any mental health condition or a specific diagnosis of depression or anxiety, and 90-day readmission, reoperation, or 1 year mortality for patients undergoing total knee arthroplasty or total hip arthroplasty.

CONCLUSIONS

When accounting for confounding factors, there does not appear to be a direct association between diagnosis of any of the psychiatric conditions we studied and outcomes after primary total joint arthroplasty. While prior studies suggest addressing the mental health condition may improve outcomes, this study suggests that preoperative medical optimization and potentially addressing substance use may be more effective strategies.

A nationwide cohort study on the association between intensive care treatments and mental distress linked psychiatric disorders

Given the psychic strain patients experience in the intensive care unit (ICU), a potential risk of mental disorders has been suggested. However, the effects of intensive care treatment per se are unknown. We investigated whether the level of intensive care treatments is an independent risk factor for developing long-term mental disorders after intensive care. In a national cohort of adult ICU patients we combined data on diagnoses, treatment, and causes of death. We defined extensive ICU treatment as being treated with invasive ventilation for > 24 h, continuous renal replacement therapy, or both. The primary outcome was incident mental disorder 1 year after ICU admission. Extensive ICU treatment was found to be associated with a decreased risk of developing a mental disorder ≥ 1 year after ICU admission (HR 0.90, 95% CI 0.82-0.99, p = 0.04), and increasing severity of acute illness (HR 1.18, 95% CI 1.06-1.32, p < 0.001) were associated with an increased risk of mental disorders. Because death acted as a competing risk for mental illness, mortality might help explain the apparent protective effect of extensive ICU care.Trial registration Clinical Trials Registry (Identification number NCT05137977). Registered 16 November 2021. As a registry trial the patients were already included at the trial registration i.e. it was retrospectively registered.

New onset postoperative depression after major surgery: an analysis from a national claims database

Background

Postoperative depression is not well characterised. We investigated the incidence of postoperative depression with the hypothesis that after controlling for confounders, new onset depression would vary significantly by surgical type.

Methods

We conducted a retrospective cohort study using the Optum Clinformatics Datamart. The primary outcome was new onset postoperative depression, defined by a new diagnosis of depression or new prescription for an antidepressant in the year after surgery using International Classification of Diseases (ICD) 9/10 codes and drug names. Adjustment for preoperative comorbidities and predictors of depression was with multivariable Cox regression and propensity score matching. Sensitivity analyses defining new onset depression as both a new diagnosis of depression and a new prescription for an antidepressant, or either outcome separately, were conducted.

Results

Data from 132 390 cardiac surgery, 12 538 thoracotomy, 32 630 video-assisted thoracoscopic surgery (VATS), 96 750 hip fracture surgery, 157 484 hip replacement, and 347 878 laparoscopic cholecystectomy patients from January 2004 to June 2021 were analysed. The incidence of new onset postoperative depression was 18.8% for hip fracture surgery, 16.1% for thoracotomy, 12.6% for cardiac surgery, 12.4% for VATS, 8.6% for laparoscopic cholecystectomy, and 6.8% for hip replacement. After multivariable adjustment, hip fracture surgery patients were most likely to develop new onset postoperative depression (hazard ratio [95% confidence interval]) 1.56 [1.45-1.68]), followed by thoracotomy (1.12 [1.03-1.22]), cardiac surgery (1.09 [1.04-1.12]), VATS (0.95 [0.90-1.00]), and hip replacement (0.55 [0.52-0.57]) compared with patients undergoing laparoscopic cholecystectomy (hazard ratio=1). Results from propensity score matched analyses and sensitivity analyses were similar.

Conclusions

The risk of postoperative depression differs by surgical type after controlling for preoperative characteristics.

The genetic contribution to the comorbidity of depression and anxiety: a multi-site electronic health records study of almost 178 000 people

BACKGROUND

Depression and anxiety are common and highly comorbid, and their comorbidity is associated with poorer outcomes posing clinical and public health concerns. We evaluated the polygenic contribution to comorbid depression and anxiety, and to each in isolation.

METHODS

Diagnostic codes were extracted from electronic health records for four biobanks [N = 177 865 including 138 632 European (77.9%), 25 612 African (14.4%), and 13 621 Hispanic (7.7%) ancestry participants]. The outcome was a four-level variable representing the depression/anxiety diagnosis group: neither, depression-only, anxiety-only, and comorbid. Multinomial regression was used to test for association of depression and anxiety polygenic risk scores (PRSs) with the outcome while adjusting for principal components of ancestry.

RESULTS

In total, 132 960 patients had neither diagnosis (74.8%), 16 092 depression-only (9.0%), 13 098 anxiety-only (7.4%), and 16 584 comorbid (9.3%). In the European meta-analysis across biobanks, both PRSs were higher in each diagnosis group compared to controls. Notably, depression-PRS (OR 1.20 per s.d. increase in PRS; 95% CI 1.18-1.23) and anxiety-PRS (OR 1.07; 95% CI 1.05-1.09) had the largest effect when the comorbid group was compared with controls. Furthermore, the depression-PRS was significantly higher in the comorbid group than the depression-only group (OR 1.09; 95% CI 1.06-1.12) and the anxiety-only group (OR 1.15; 95% CI 1.11-1.19) and was significantly higher in the depression-only group than the anxiety-only group (OR 1.06; 95% CI 1.02-1.09), showing a genetic risk gradient across the conditions and the comorbidity.

CONCLUSIONS

This study suggests that depression and anxiety have partially independent genetic liabilities and the genetic vulnerabilities to depression and anxiety make distinct contributions to comorbid depression and anxiety.

Postpartum Depression in Reproductive-Age Women With and Without Rheumatic Disease: A Population-Based Matched Cohort Study

OBJECTIVE

To examine postpartum depression (PPD) among women with axial spondyloarthritis (axSpA), psoriatic arthritis (PsA), or rheumatoid arthritis (RA) in comparison with a matched population without rheumatic disease (RD).

METHODS

A retrospective analysis using the 2013-2018 IBM MarketScan Commercial Claims and Encounters Database was conducted. Pregnant women with axSpA, PsA, or RA were identified, and the delivery date was used as the index date. We restricted the sample to women ≤ 55 years with continuous enrollment ≥ 6 months before date of last menstrual period and throughout pregnancy. Each patient was matched with 4 individuals without RD on: (1) maternal age at delivery, (2) prior history of depression, and (3) duration of depression before delivery. Cox frailty proportional hazards models estimated the crude and adjusted hazard ratios (aHR) and 95% CI of incident postpartum depression within 1 year among women with axSpA, PsA, or RA (axSpA/PsA/RA cohort) compared to the matched non-RD comparison group.

RESULTS

Overall, 2667 women with axSpA, PsA, or RA and 10,668 patients without any RD were included. The median follow-up time in days was 256 (IQR 93-366) and 265 (IQR 99-366) for the axSpA/PsA/RA cohort and matched non-RD comparison group, respectively. Development of PPD was more common in the axSpA/PsA/RA cohort relative to the matched non-RD comparison group (axSpA/PsA/RA cohort: 17.2%; matched non-RD comparison group: 12.8%; aHR 1.22, 95% CI 1.09-1.36).

CONCLUSION

Postpartum depression is significantly higher in women of reproductive age with axSpA/PsA/RA when compared to those without RD.

How does depressive disorder impact outcomes in patients with glenohumeral osteoarthritis undergoing primary reverse shoulder arthroplasty?

BACKGROUND

Current literature shows that the prevalence of depressive disorders (DD) is increasing in the United States. Patients with DD have worse outcomes after shoulder arthroplasty; however, properly defined inclusion and exclusion criteria evaluating the effects of DD on primary reverse shoulder arthroplasty (RSA) are limited. The purpose of this study was to compare the outcomes of patients with and without DD undergoing primary RSA, evaluating: (1) in-hospital length of stay (LOS), (2) medical complications, (3) emergency department (ED) utilizations, and (4) cost of care.

METHODS

A retrospective query was performed using a nationwide administrative claims database from 2010 to 2020 for all patients who underwent primary RSA for the treatment of glenohumeral osteoarthritis. The query yielded a total of 24,326 patients within the study (DD, n = 4084) and comparison (without DD, n = 20,242) cohorts. The primary end points were in-hospital LOS, 90-day medical complications, and total 90-day episode of care costs. Subanalyses compared whether DD diagnosis and preoperative ED utilization within 6 months of RSA were associated with increased incidence and odds of postoperative ED utilization within 90 days. P values less than .004 were considered statistically significant.

RESULTS

Patients with DD undergoing primary RSA had significantly longer LOS (3 vs. 2 days, P < .0001) compared with patients without DD. The study group also had higher frequency and odds ratio (OR) of complications (47.40% vs. 17.63%; OR: 2.27, P < .0001) such as pneumonia (10.04% vs. 2.15%; OR: 2.88, 95% confidence interval [CI]: 2.47-3.35, P < .0001), cerebrovascular accidents (3.13% vs. 0.86%; OR: 2.69, 95% CI: 2.09-3.46, P < .0001), myocardial infarctions (1.98% vs. 0.51%; OR: 2.54, 95% CI: 1.84-3.50, P < .0001), and other adverse events. Among patients who had a diagnosis of DD, preoperative ED utilization within 6 months of RSA was associated with increased odds of postoperative ED utilization within 90 days compared with those without ED utilization preoperatively (15.08% vs. 13.64%; OR: 1.16, 95% CI: 1.04-1.28, P = .003). Controlling for preoperative ED utilization and comorbidities, patients with DD experienced a 2- to 3-fold increase in postoperative ED use within 90 days after surgery (P < .0001). Patients with DD also incurred significantly higher episode of care costs ($19,363.10 vs. $17,927.55, P < .0001).

CONCLUSION

This retrospective study shows that patients with DD undergoing primary RSA for the treatment of glenohumeral osteoarthritis have longer in-hospital LOS, higher rates of complications, and increased costs of care. Preoperative health care utilization among patients with DD may be associated with increased utilization postoperatively.

Identification of people with low prevalence diseases in administrative healthcare records: A case study of HIV in British Columbia, Canada

INTRODUCTION

Case-finding algorithms can be applied to administrative healthcare records to identify people with diseases, including people with HIV (PWH). When supplementing an existing registry of a low prevalence disease, near-perfect specificity helps minimize impacts of adding in algorithm-identified false positive cases. We evaluated the performance of algorithms applied to healthcare records to supplement an HIV registry in British Columbia (BC), Canada.

METHODS

We applied algorithms based on HIV-related diagnostic codes to healthcare practitioner and hospitalization records. We evaluated 28 algorithms in a validation sub-sample of 7,124 persons with positive HIV tests (2,817 with a prior negative test) from the STOP HIV/AIDS data linkage-a linkage of healthcare, clinical, and HIV test records for PWH in BC, resembling a disease registry (1996-2020). Algorithms were primarily assessed based on their specificity-derived from this validation sub-sample-and their impact on the estimate of the total number of PWH in BC as of 2020.

RESULTS

In the validation sub-sample, median age at positive HIV test was 37 years (Q1: 30, Q3: 46), 80.1% were men, and 48.9% resided in the Vancouver Coastal Health Authority. For all algorithms, specificity exceeded 97% and sensitivity ranged from 81% to 95%. To supplement the HIV registry, we selected an algorithm with 99.89% (95% CI: 99.76% - 100.00%) specificity and 82.21% (95% CI: 81.26% - 83.16%) sensitivity, requiring five HIV-related healthcare practitioner encounters or two HIV-related hospitalizations within a 12-month window, or one hospitalization with HIV as the most responsible diagnosis. Upon adding PWH identified by this highly-specific algorithm to the registry, 8,774 PWH were present in BC as of March 2020, of whom 333 (3.8%) were algorithm-identified.

DISCUSSION

In the context of an existing low prevalence disease registry, the results of our validation study demonstrate the value of highly-specific case-finding algorithms applied to administrative healthcare records to enhance our ability to estimate the number of PWH living in BC.

Depressive and anxiety disorders and antidepressant prescriptions among insured children and young adults with congenital adrenal hyperplasia in the United States

Background

Dysfunction in the hypothalamic-pituitary-adrenal axis has been associated with depressive and anxiety disorders. Little is known about the risk for these disorders among individuals with congenital adrenal hyperplasia (CAH), a form of primary adrenal insufficiency.

Objective

We investigated the prevalence of depressive and anxiety disorders and antidepressant prescriptions in two large healthcare databases of insured children, adolescents, and young adults with CAH in the United States.

Methods

We conducted a retrospective cohort study using administrative data from October 2015 through December 2019 for individuals aged 4-25 years enrolled in employer-sponsored or Medicaid health plans.

Results

Adjusting for age, the prevalence of depressive disorders [adjusted prevalence ratio (aPR) = 1.7, 95% confidence interval (CI): 1.4-2.0, p<0.001], anxiety disorders [aPR = 1.7, 95% CI: 1.4-1.9, p<0.001], and filled antidepressant prescriptions [aPR = 1.7, 95% CI: 1.4-2.0, p<0.001] was higher among privately insured youth with CAH as compared to their non-CAH peers. Prevalence estimates were also higher among publicly insured youth with CAH for depressive disorders [aPR = 2.3, 95% CI: 1.9-2.9, p<0.001], anxiety disorders [aPR = 2.0, 95% CI: 1.6-2.5, p<0.001], and filled antidepressant prescriptions [aPR = 2.5, 95% CI: 1.9-3.1, p<0.001] as compared to their non-CAH peers.

Conclusions

The elevated prevalence of depressive and anxiety disorders and antidepressant prescriptions among youth with CAH suggests that screening for symptoms of depression and anxiety among this population might be warranted.

Agricultural activities and risk of treatment for depressive disorders among the entire French agricultural workforce: the TRACTOR project, a nationwide retrospective cohort study

Background

Although depression is a major issue among farming population, to date, there have been few studies on specific agricultural activities. We aimed to investigate whether, among the entire French farm manager (FM) workforce, certain agricultural activities are more strongly associated with depression than others.

Methods

This nationwide retrospective cohort study used data from an administrative health database available to the TRACTOR project. This database pertains to the entire French agricultural workforce (overseas workers not included). Data were analyzed from January 2021 to December 2022. All FMs that worked at least once over the period 2002-2016 were included. The outcome measure was the association between 26 agricultural activities and the risk of depression measured as hazard ratios (HRs) after adjusting for age, sex, and pre-existing medical comorbidities. The time to first depression insurance declaration, or first antidepressant prescription claim was used as the underlying timescale. For each activity, the reference/control group included all FMs that never performed the considered activity between 2002 and 2016, while the exposed group included FMs that performed the considered activity at least once from 2002 to 2016. Four sensitivity analyses were conducted to test hypotheses, and to address potential sources of bias.

Findings

There were 84,507 (7.76%; 28.2 cases per 1000 person-years) depression cases among 1,088,561 FMs (mean age 46.6 [SD 14.1]). Compared to other activities, dairy farming (HR = 1.37, 95% confidence interval: 1.32-1.42), cow farming (HR = 1.53 [1.47-1.59]), poultry and rabbit farming (HR = 1.37 [1.27-1.50]), and mixed farming (HR = 1.30 [1.24-1.36]) were more strongly associated with depression. Sex differences were observed, with most of the time, risks higher for females than for males.

Interpretation

Agricultural activities at risk of depression among the entire French agricultural workforce were identified. These findings do represent a crucial first step on the road to implement effective preventive measures against depression to determine where additional resources should be allocated to screen for depression, along with intervention.

Funding

MIAI@Grenoble Alpes, and Mutualité Sociale Agricole.

Risk stratification models for predicting preventable hospitalization in commercially insured late middle-aged adults with depression

BACKGROUND

A significant number of late middle-aged adults with depression have a high illness burden resulting from chronic conditions which put them at high risk of hospitalization. Many late middle-aged adults are covered by commercial health insurance, but such insurance claims have not been used to identify the risk of hospitalization in individuals with depression. In the present study, we developed and validated a non-proprietary model to identify late middle-aged adults with depression at risk for hospitalization, using machine learning methods.

METHODS

This retrospective cohort study involved 71,682 commercially insured older adults aged 55-64 years diagnosed with depression. National health insurance claims were used to capture demographics, health care utilization, and health status during the base year. Health status was captured using 70 chronic health conditions, and 46 mental health conditions. The outcomes were 1- and 2-year preventable hospitalization. For each of our two outcomes, we evaluated seven modelling approaches: four prediction models utilized logistic regression with different combinations of predictors to evaluate the relative contribution of each group of variables, and three prediction models utilized machine learning approaches - logistic regression with LASSO penalty, random forests (RF), and gradient boosting machine (GBM).

RESULTS

Our predictive model for 1-year hospitalization achieved an AUC of 0.803, with a sensitivity of 72% and a specificity of 76% under the optimum threshold of 0.463, and our predictive model for 2-year hospitalization achieved an AUC of 0.793, with a sensitivity of 76% and a specificity of 71% under the optimum threshold of 0.452. For predicting both 1-year and 2-year risk of preventable hospitalization, our best performing models utilized the machine learning approach of logistic regression with LASSO penalty which outperformed more black-box machine learning models like RF and GBM.

CONCLUSIONS

Our study demonstrates the feasibility of identifying depressed middle-aged adults at higher risk of future hospitalization due to burden of chronic illnesses using basic demographic information and diagnosis codes recorded in health insurance claims. Identifying this population may assist health care planners in developing effective screening strategies and management approaches and in efficient allocation of public healthcare resources as this population transitions to publicly funded healthcare programs, e.g., Medicare in the US.

Impact of COVID-19 pandemic and lockdowns on the consumption of anxiolytics, hypnotics and antidepressants according to age groups: a French nationwide study

BACKGROUND

Previous studies have shown a negative impact of the COVID-19 pandemic and its associated sanitary measures on mental health, especially among adolescents and young adults. Such a context may raise many concerns about the COVID-19 pandemic long-term psychological effects. An analysis of administrative databases could be an alternative and complementary approach to medical interview-based epidemiological surveys to monitor the mental health of the population. We conducted a nationwide study to describe the consumption of anxiolytics, antidepressants and hypnotics during the first year of the COVID-19 pandemic, compared to the five previous years.

METHODS

A historic cohort study was conducted by extracting and analysing data from the French health insurance database between 1 January 2015 and 28 February 2021. Individuals were classified into five age-based classes. Linear regression models were performed to assess the impact of the COVID-19 pandemic period on the number of drug consumers, in introducing an interaction term between time and COVID-19 period.

RESULTS

Since March 2020, in all five age groups and all three drug categories studied, the number of patients reimbursed weekly has increased compared to the period from January 2015 to February 2020. The youngest the patients, the more pronounced the magnitude.

CONCLUSIONS

Monitoring the consumption of psychiatric medications could be of great interest as reliable indicators are essential for planning public health strategies. A post-crisis policy including reliable monitoring of mental health must be anticipated.

Inverse association between changes in systolic and diastolic blood pressure and risk of depression: A nationally representative cohort study

BACKGROUND

Depression is one of complex mental disorders with diverse etiological factors but the association between blood pressure (BP) and depression is unknown. We aimed to investigate the association between changes in BP (systolic and diastolic) and incident depression.

METHODS

From the National Health Insurance Service-Health Screening Cohort (NHIS-HEALS), 224,192 participants who underwent biennial health screenings from period I (2004-05) and II (2006-07) were included in the study. Systolic BP (SBP) and diastolic BP (DBP) categories were defined as follows: SBP into 5 categories (<90 mmHg, 90 mmHg -119 mmHg, 120 mmHg -129 mmHg, 130 mmHg -139 mmHg, ≥140 mmHg) and DBP into 4 categories (<60 mmHg, 60 mmHg -79 mmHg, 80 mmHg -89 mmHg, ≥90 mmHg). Also, BP levels were classified into 5 groups: normal, elevated BP, stage 1 BP, stage 2 BP, hypotension. Using the Cox proportional hazards regression, changes in SBP and DBP between two screening periods and the risk of depression were calculated by adjusted hazard ratio (aHR) and 95 % confidence interval (CI).

RESULTS

There were 17,780 depression events during 1.5 million person-year of follow-up. Compared to the participants with SBP ≥ 140 mmHg or DBP ≥ 90 mmHg from both periods, those who decreased SBP from ≥140 mmHg to 120 mmHg-129 mmHg (aHR 1.13; 95 % CI 1.04-1.24; P = 0.001) and those who decreased DBP from ≥90 mmHg to 60 mmHg-79 mmHg (aHR 1.10; 95 % CI 1.02-1.20; P = 0.020) showed a higher risk of depression, respectively.

CONCLUSIONS

Changes in SBP and DBP showed an inverse relationship with depression risk.

Depression and anxiety are associated with an increased risk of infection, revision, and reoperation following total hip or knee arthroplasty

The aim of this study was to determine the prevalence of depressive and anxiety disorders prior to total hip (THA) and total knee arthroplasty (TKA) and to assess their impact on the rates of any infection, revision, or reoperation. Between January 2000 and March 2019, 21,469 primary and revision arthroplasties (10,011 THAs; 11,458 TKAs), which were undertaken in 15,504 patients at a single academic medical centre, were identified from a 27-county linked electronic medical record (EMR) system. Depressive and anxiety disorders were identified by diagnoses in the EMR or by using a natural language processing program with subsequent validation from review of the medical records. Patients with mental health diagnoses other than anxiety or depression were excluded. Depressive and/or anxiety disorders were common before THA and TKA, with a prevalence of 30% in those who underwent primary THA, 33% in those who underwent revision THA, 32% in those who underwent primary TKA, and 35% in those who underwent revision TKA. The presence of depressive or anxiety disorders was associated with a significantly increased risk of any infection (primary THA, hazard ratio (HR) 1.5; revision THA, HR 1.9; primary TKA, HR 1.6; revision TKA, HR 1.8), revision (THA, HR 1.7; TKA, HR 1.6), re-revision (THA, HR 2.0; TKA, HR 1.6), and reoperation (primary THA, HR 1.6; revision THA, HR 2.2; primary TKA, HR 1.4; revision TKA, HR 1.9; p < 0.03 for all). Patients with preoperative depressive and/or anxiety disorders were significantly less likely to report "much better" joint function after primary THA (78% vs 87%) and primary TKA (86% vs 90%) compared with those without these disorders at two years postoperatively (p < 0.001 for all). The presence of depressive or anxiety disorders prior to primary or revision THA and TKA is common, and associated with a significantly higher risk of infection, revision, reoperation, and dissatisfaction. This topic deserves further study, and surgeons may consider mental health optimization to be of similar importance to preoperative variables such as diabetic control, prior to arthroplasty.

Preoperative Depression Status and 5 Year Metabolic and Bariatric Surgery Outcomes in the PCORnet Bariatric Study Cohort

OBJECTIVE

To examine whether depression status before metabolic and bariatric surgery (MBS) influenced 5-year weight loss, diabetes, and safety/utilization outcomes in the PCORnet Bariatric Study.

SUMMARY OF BACKGROUND DATA

Research on the impact of depression on MBS outcomes is inconsistent with few large, long-term studies.

METHODS

Data were extracted from 23 health systems on 36,871 patients who underwent sleeve gastrectomy (SG; n=16,158) or gastric bypass (RYGB; n=20,713) from 2005-2015. Patients with and without a depression diagnosis in the year before MBS were evaluated for % total weight loss (%TWL), diabetes outcomes, and postsurgical safety/utilization (reoperations, revisions, endoscopy, hospitalizations, mortality) at 1, 3, and 5 years after MBS.

RESULTS

27.1% of SG and 33.0% of RYGB patients had preoperative depression, and they had more medical and psychiatric comorbidities than those without depression. At 5 years of follow-up, those with depression, versus those without depression, had slightly less %TWL after RYGB, but not after SG (between group difference = 0.42%TWL, P = 0.04). However, patients with depression had slightly larger HbA1c improvements after RYGB but not after SG (between group difference = - 0.19, P = 0.04). Baseline depression did not moderate diabetes remission or relapse, reoperations, revision, or mortality across operations; however, baseline depression did moderate the risk of endoscopy and repeat hospitalization across RYGB versus SG.

CONCLUSIONS

Patients with depression undergoing RYGB and SG had similar weight loss, diabetes, and safety/utilization outcomes to those without depression. The effects of depression were clinically small compared to the choice of operation.

The effects of major depression disorder on neurogenic thoracic outlet syndrome surgery outcomes

OBJECTIVES

Thoracic outlet syndrome (TOS) is a group of disorders caused by impingement of the neurovascular structures at the thoracic outlet. Neurogenic TOS (nTOS), which is thought to be caused by a compression of the brachial plexus, accounts for more than 90% of the cases. Although treatment for nTOS is successful through physiotherapy and/or surgical decompression, little is known about the impact of psychosocial factors, namely, major depressive disorder (MDD), on postoperative outcomes such as non-routine discharge (NRD). Here, we assess whether MDD predicts the type of discharge following nTOS surgical intervention.

METHODS

A retrospective analysis of the National Inpatient Sample database from the years 2005-2018 was performed. Using the International Classification of Diseases Clinical Modification, Ninth and Tenth revisions, patients who underwent a surgical intervention for nTOS were identified. Our primary outcome was to investigate the effects of MDD on nTOS patient disposition status after surgical management; secondary outcomes included analysis of total hospital charges and length of stay. NRD was defined as anything beyond discharge home without healthcare services. Univariate and multivariable logistic regression analyses were conducted to assess MDD and other potential independent predictors of NRD and prolonged hospital stay (> 2 days) following surgical intervention.

RESULTS

A total of 6099 patients were identified: 596 (9.77%) patients with MDD and 5503 (90.23%) without MDD. On average, patients with MDD were older (39.6 ± 12.0 years vs. 36.0 ± 13.0 years; p < 0.001), female (80.7% vs. 63.5%; p < 0.001), white (89.6% vs. 85.6%; p = 0.030), and on Medicare (9.6% vs 5.2%; p < 0.001). Univariate and multivariable logistic regression models identified MDD as an independent risk factor associated with a higher risk of NRD (adjusted odds ratio [aOR], 1.50; 95% confidence interval [CI], 1.0-2.2). Additionally, chronic kidney disease (aOR, 2.60; 95% CI, 1.2-5.4), postoperative complications (aOR, 1.87; 95% CI, 1.2-2.9), and Medicare (aOR, 2.95; 95% CI, 1.9-4.7) were statistically significant predictors for higher risk of NRD. However, MDD was not associated with prolonged hospital stay (aOR, 1.00; 95% CI, 0.8-1.2) or higher median of total charges (MDD group: $27,867 vs. non-MDD group: $28,123; p = 0.799).

CONCLUSION

Comorbid MDD was strongly associated with higher NRD rates following nTOS surgical intervention. MDD had no significant impact on length of hospital stay or total hospital charges. Additional prospective research is necessary in order to better evaluate the impact of MDD in patients with nTOS.

Identification of Postpartum Depression in Electronic Health Records: Validation in a Large Integrated Health Care System

BACKGROUND

The accuracy of electronic health records (EHRs) for identifying postpartum depression (PPD) is not well studied.

OBJECTIVE

This study aims to evaluate the accuracy of PPD reporting in EHRs and compare the quality of PPD data collected before and after the implementation of the International Classification of Diseases, Tenth Revision (ICD-10) coding in the health care system.

METHODS

Information on PPD was extracted from a random sample of 400 eligible Kaiser Permanente Southern California patients' EHRs. Clinical diagnosis codes and pharmacy records were abstracted for two time periods: January 1, 2012, through December 31, 2014 (International Classification of Diseases, Ninth Revision [ICD-9] period), and January 1, 2017, through December 31, 2019 (ICD-10 period). Manual chart reviews of clinical records for PPD were considered the gold standard and were compared with corresponding electronically coded diagnosis and pharmacy records using sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Kappa statistic was calculated to measure agreement.

RESULTS

Overall agreement between the identification of depression using combined diagnosis codes and pharmacy records with that of medical record review was strong (κ=0.85, sensitivity 98.3%, specificity 83.3%, PPV 93.7%, NPV 95.0%). Using only diagnosis codes resulted in much lower sensitivity (65.4%) and NPV (50.5%) but good specificity (88.6%) and PPV (93.5%). Separately, examining agreement between chart review and electronic coding among diagnosis codes and pharmacy records showed sensitivity, specificity, and NPV higher with prescription use records than with clinical diagnosis coding for PPD, 96.5% versus 72.0%, 96.5% versus 65.0%, and 96.5% versus 65.0%, respectively. There was no notable difference in agreement between ICD-9 (overall κ=0.86) and ICD-10 (overall κ=0.83) coding periods.

CONCLUSIONS

PPD is not reliably captured in the clinical diagnosis coding of EHRs. The accuracy of PPD identification can be improved by supplementing clinical diagnosis with pharmacy use records. The completeness of PPD data remained unchanged after the implementation of the ICD-10 diagnosis coding.

The Effect of Psychiatric Comorbidity on Healthcare Utilization for Youth With Newly Diagnosed Systemic Lupus Erythematosus

OBJECTIVE

To examine the effect of psychiatric diagnoses on healthcare use in youth with systemic lupus erythematosus (SLE) during their first year of SLE care.

METHODS

We conducted a retrospective cohort study using claims from 2000 to 2013 from Clinformatics Data Mart (OptumInsight). Youth aged 10 years to 24 years with an incident diagnosis of SLE (≥ 3 International Classification of Diseases, 9th revision, codes for SLE 710.0, > 30 days apart) were categorized as having: (1) a preceding psychiatric diagnosis in the year before SLE diagnosis, (2) an incident psychiatric diagnosis in the year after SLE diagnosis, or (3) no psychiatric diagnosis. We compared ambulatory, emergency, and inpatient visits in the year after SLE diagnosis, stratified by nonpsychiatric and psychiatric visits. We examined the effect of childhood-onset vs adult-onset SLE by testing for an interaction between age and psychiatric exposure on outcome.

RESULTS

We identified 650 youth with an incident diagnosis of SLE, of which 122 (19%) had a preceding psychiatric diagnosis and 105 (16%) had an incident psychiatric diagnosis. Compared with those without a psychiatric diagnosis, youth with SLE and a preceding or incident psychiatric diagnosis had more healthcare use across both ambulatory and emergency settings for both nonpsychiatric and psychiatric-related care. These associations were minimally affected by age at time of SLE diagnosis.

CONCLUSION

Psychiatric comorbidity is common among youth with newly diagnosed SLE and is associated with greater healthcare use. Interventions to address preceding and incident psychiatric comorbidity may decrease healthcare burden for youth with SLE.

Prescription Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) and Incidence of Depression Among Older Cancer Survivors With Osteoarthritis: A Machine Learning Analysis

ObjectiveS

This study examined prescription NSAIDs as one of the leading predictors of incident depression and assessed the direction of the association among older cancer survivors with osteoarthritis.

Methods

This study used a retrospective cohort (N = 14, 992) of older adults with incident cancer (breast, prostate, colorectal cancers, or non-Hodgkin's lymphoma) and osteoarthritis. We used the longitudinal data from the linked Surveillance, Epidemiology, and End Results -Medicare data for the study period from 2006 through 2016, with a 12-month baseline and 12-month follow-up period. Cumulative NSAIDs days was assessed during the baseline period and incident depression was assessed during the follow-up period. An eXtreme Gradient Boosting (XGBoost) model was built with 10-fold repeated stratified cross-validation and hyperparameter tuning using the training dataset. The final model selected from the training data demonstrated high performance (Accuracy: 0.82, Recall: 0.75, Precision: 0.75) when applied to the test data. SHapley Additive exPlanations (SHAP) was used to interpret the output from the XGBoost model.

Results

Over 50% of the study cohort had at least one prescption of NSAIDs. Nearly 13% of the cohort were diagnosed with incident depression, with the rates ranging between 7.4% for prostate cancer and 17.0% for colorectal cancer. The highest incident depression rate of 25% was observed at 90 and 120 cumulative NSAIDs days thresholds. Cumulative NSAIDs days was the sixth leading predictor of incident depression among older adults with OA and cancer. Age, education, care fragmentation, polypharmacy, and zip code level poverty were the top 5 predictors of incident depression.

Conclusion

Overall, 1 in 8 older adults with cancer and OA were diagnosed with incident depression. Cumulative NSAIDs days was the sixth leading predictor with an overall positive association with incident depression. However, the association was complex and varied by the cumulative NSAIDs days.

Risk, Determinants, and Pharmacologic Treatment of Depression Following Acute Ischemic Stroke

Background and Purpose: We assessed risk and determinants of new-onset depression in acute ischemic stroke (AIS) patients of all ages and no known history of depression. Additionally, we assessed patterns of post-stroke depression (PSD) treatment with pharmacotherapy. Methods: Retrospective cohort study of de-identified Marketscan Commercial Claims and Encounters and Medicare Supplemental and Coordination of Benefits Datasets for adults age ≥18 years admitted with AIS from July 1, 2016-July 1, 2017. We created Kaplan-Meier curves of cumulative risk of PSD up to 1.5 years following index AIS admission. We performed Cox regression to report hazard ratios for determinants of PSD up to 1.5 years following AIS. We summarized proportions treated with pharmacotherapy and identified the most commonly prescribed medications. Results: Of 8089 AIS patients, 1059 were diagnosed with PSD. At 1 year, cumulative risk of PSD was 13.4% (standard error .4) and 15.3% (standard error .5) at 1.5 years. History of anxiety was most strongly associated with PSD and discharge home least. Among those with PSD, 68.8% were prescribed an antidepressant and 8.4% an antipsychotic. The most commonly prescribed antidepressant was sertraline (28.5%). Conclusions: Among AIS patients of all ages, there is a persistently elevated cumulative risk of new diagnosis of PSD in the 1.5 years following AIS. Of the >2/3 treated with an antidepressant, sertraline was most commonly prescribed. Screening and treatment strategies for PSD require further study.

Maternal Depression and Antidepressant Use During Pregnancy and Associations with Depressive Symptoms and Suicidality in Adolescent Children

Purpose

Children of mothers with prenatal depression have elevated risk for depression later in life. Pregnant women are hesitant to use antidepressants due to fear of adverse fetal effects. To inform prevention, this study examined associations between maternal prenatal depression and antidepressant use, and adolescent depressive symptoms and suicidality.

Patients and Methods

Prospective data from 74,695 mother-adolescent dyads from the Kaiser Permanente Northern California integrated healthcare delivery system were used. Three prenatal exposure groups were examined: maternal depression and antidepressants (Med); depression and no antidepressants (No-Med); neither depression nor antidepressants (NDNM). Adolescent depressive symptoms (Patient Health Questionnaire-2 score ≥3) and suicidality were assessed for 12- to 18-year-olds. Associations were analyzed using mixed effects logistic regression, adjusted for confounders.

Results

Maternal prenatal depression was associated with higher odds of adolescent depressive symptoms (Med odds ratio [OR]: 1.50, 95% confidence interval [CI]: 1.23-1.84; No-Med OR: 1.59, CI: 1.34-1.88) and suicidality (Med OR: 2.36, CI: 1.67-3.34; No-Med OR: 1.54, CI: 1.10-2.14) compared to no prenatal depression (NDNM). Adolescents exposed to prenatal depression and antidepressants were not at greater odds of depressive symptoms (Med OR: 0.95, CI: 0.74-1.21) compared to those not exposed to antidepressants (No-Med). However, they showed non-significant but greater odds of suicidality (Med OR: 1.54, CI: 0.99-2.39).

Conclusion

Our findings suggest that maternal prenatal depression is associated with adolescent depressive symptoms and suicidality, and that exposure to antidepressants in utero does not increase risk of depressive symptoms, specifically. While not statistically significant, the increased odds of suicidality among adolescents exposed to antidepressants suggest a possible association; however, further investigation is needed. After replication, the findings of this study may inform shared clinical decision-making when considering options regarding antidepressant use for the treatment of maternal prenatal depression.

Psychiatric Disorder Incidence Among Adolescents and Young Adults Aged 15-39 With Cancer: Population-Based Cohort

BACKGROUND

Adolescent and young adult (AYA) cancer survivors face physical and psychological sequelae related to having cancer decades after treatment completion. It is unclear if AYA cancer survivors are at increased risk for late psychiatric disorders.

METHODS

We used the Alberta AYA Cancer Survivor Study that includes 5-year survivors of cancer diagnosed at age 15-39 years during 1991 to 2013. The primary outcome was incidence of psychiatric disorder (composite outcome) including anxiety, depressive, trauma- and stressor-related, psychotic, and substance use disorders that were identified using coding algorithms for administrative health databases. A validated coding algorithm identified people who experienced a suicide attempt or event of self-harm. Secondary outcomes were incidences of diagnoses by type of psychiatric disorder.

RESULTS

Among 12 116 AYA 5-year cancer survivors (n = 4634 [38%] males; n = 7482 [62%] females), 7426 (61%; n = 2406 [32%] males; n = 5020 [68%] females) were diagnosed with at least 1 of 5 psychiatric disorders occurring at least 3 years after cancer diagnosis. Survivors of all cancer types were most often diagnosed with anxiety (males: 39.0%, 95% confidence interval [CI] = 37.6% to 40.4%; females: 54.5%, 95% CI = 53.3% to 55.6%), depressive (males: 32.7%, 95% CI = 31.3% to 34.0%; females: 47.0%, 95% CI = 45.8% to 48.1%), and trauma- and stressor-related disorders (males: 13.5%, 95% CI =12.5% to 14.5%; females: 22.5%, 95% CI = 21.6% to 23.5%).

CONCLUSIONS

Anxiety, depressive, and trauma- and stressor-related disorders are common among 5-year survivors of AYA cancer. Primary, secondary, or tertiary preventive strategies for AYAs diagnosed with cancer, particularly at an early age, are needed to mitigate risk of potentially severe outcomes because of psychiatric disorders.

Procedure for Organizing a Post-FDA-approval Evaluation of Antidepressants

Purpose: The study reports the construction of a cohort used to study the effectiveness of antidepressants.

Methods: The cohort includes experiences of 3,678,082 patients with depression in the United States on antidepressants between January 1, 2001, and December 31, 2018. A total of 10,221,145 antidepressant treatment episodes were analyzed. Patients who had no utilization of health services for at least two years, or who had died, were excluded from the analysis. Follow-up was passive, automatic, and collated from fragmented clinical services of diverse providers.

Results: The average follow-up was 2.93 years, resulting in 15,096,055 person-years of data. The mean age of the cohort was 46.54 years (standard deviation of 17.48) at first prescription of antidepressant, which was also the enrollment event (16.92% were over 65 years), and most were female (69.36%). In 10,221,145 episodes, within the first 100 days of start of the episode, 4,729,372 (46.3%) continued their treatment, 1,306,338 (12.8%) switched to another medication, 3,586,156 (35.1%) discontinued their medication, and 599,279 (5.9%) augmented their treatment.

Conclusions: We present a procedure for constructing a cohort using claims data. A surrogate measure for self-reported symptom remission based on the patterns of use of antidepressants has been proposed to address the absence of outcomes in claims. Future studies can use the procedures described here to organize studies of the comparative effectiveness of antidepressants.

Trend in rural-urban disparities in access to outpatient mental health services among US adults aged 18-64 with employer-sponsored insurance: 2005-2018

PURPOSE

This study estimates the rural-urban differences in outpatient service utilization and expenditures for depression, anxiety disorder, and substance use disorder, and the evolving mental health provider mix for privately insured US adults aged 18-64 during 2005-2018.

METHODS

We used the IBM MarketScan Commercial Claims and Encounters Database for individuals covered by employer-sponsored health insurance, from 2005 to 2018, with a yearly total number of beneficiaries ranging from 17.5 to 53.1 million. Claims for nonelderly adults with mental health and substance abuse coverage are included. Outcomes include rates of outpatient service utilization for depression, anxiety disorder, and substance use disorder; counts of outpatient visits; expenditure and share of the out-of-pocket cost; and the mental health services provider mix.

FINDINGS

Rural enrollees were less likely than urban enrollees to use outpatient mental health services for depression by 1.2% (percentage points) in 2005 and 0.6% in 2018. Among those who used outpatient mental health services, rural enrollees had fewer outpatient visits than their urban counterparts (difference: 1.8-2.4 visits for depression, 1.2-1.7 visits for anxiety disorder, and 0.7-2.1 visits for substance use disorder). Rural patients paid less per year for mental health outpatient visits of the 3 conditions but incurred a higher share of out-of-pocket expenses. Rural and urban patients differ in the mix of mental health providers, with rural enrollees relying more on primary care providers than urban enrollees.

CONCLUSIONS

Rural-urban disparities in access to mental health services persist during 2005-2018 among a population with private insurance.

Depressive Disorder Related Hospitalizations in Portugal Between 2008-2015: a Nationwide Observational Study

Depression is a prevalent disease, being one of the most relevant contributors of disability in the overall global burden of diseases. Hospitalization episodes are important quality indicators in psychiatric care. The primary aim of this study is to analyse depressive disorder related hospitalizations in Portuguese public hospitals and to detail clinical and sociodemographic differences among various subtypes of depression. Admissions with a primary diagnosis of depression in adult patients(> = 18 years) were selected from a national mainland hospitalization database. ICD-9-CM codes were used to select the diagnoses of interest: 296.2 × to 296.3x (Major depressive disorder), 300.4 (Dysthymic disorder) and 311 (Depressive disorder, not elsewhere classified). Birth date, sex, residence address, primary and secondary diagnoses, admission date, discharge date, length of stay (LoS), discharge status, and hospital estimated charges were obtained. A total of 28,569 hospitalizations (22,387 patients) with a primary diagnosis of depression were analysed. In the 8-year period of the study, 19.1% of all hospitalizations with a primary diagnosis of psychiatric disorder were linked to Depression. Major Depressive episodes were the most common (n = 15,384; 53.8%), followed by Depression unspecified episodes (n = 6,793; 23.8%), and Dysthymia (n = 6,392; 22.4%). Most episodes occurred in female patients (70.2%; n = 20,052), with a mean age of 50.6 years, and 37.0% (n = 10,564) of the episodes were associated to other psychiatric comorbidities. Depressive disorders are one of the leading causes of hospitalization in Portuguese psychiatric departments, being responsible for approximately 1 in 5 hospitalizations with a psychiatric diagnosis.

Sleep and affective disorders in relation to Parkinson's disease risk among older women from the Women's Health Initiative

OBJECTIVES

To evaluate sleep and affective (mood/anxiety) disorders as clinical predictors of incident Parkinson's disease (PD) among women ≥65 years of age.

METHODS

We performed secondary analyses with available data from the Women's Health Initiative Clinical Trials and Observational Study linked to Medicare claims. Sleep, mood and anxiety disorders at baseline were defined using diagnostic codes. Incident PD was defined using self-reported PD, first PD diagnosis, use of PD medications, and/or deaths attributed to PD. Cox regression was applied to estimate hazard ratios (HR) with 95 % confidence intervals (CI), controlling for socio-demographic/lifestyle/health characteristics. Time-to-event was calculated from baseline (1993-1998) to year of PD event, loss to follow-up, death, or December 31, 2018, whichever came first.

RESULTS

A total of 53,996 study-eligible WHI participants yielded 1756 (3.25 %) PD cases over ~14.39 (±6.18) years of follow-up. The relative risk for PD doubled among women with affective disorders (HR = 2.05, 95 % CI: 1.84, 2.27), mood disorders (HR = 2.18, 95 % CI: 1.97, 2.42) and anxiety disorders (HR = 1.97, 95 % CI: 1.75, 2.22). Sleep disorders alone (without affective) were not significantly associated with PD risk (HR = 0.85, 95 % CI: 0.69, 1.04), whereas affective disorders alone (without sleep) (HR = 1.93, 95 % CI: 1.72, 2.17) or in combination with sleep disorders (HR = 2.18, 95 % CI: 1.85, 2.56) were associated with twice the PD risk relative to no sleep/affective disorders.

LIMITATIONS

Observational design; Selection bias; Information bias; Generalizability.

CONCLUSIONS

Among older women, joint sleep/affective disorders and affective disorders alone are strong clinical predictors of incident PD over 14 years.

Incidence of and predictors for antiseizure medication gaps in Medicare beneficiaries with epilepsy: a retrospective cohort study

BACKGROUND

For the two-thirds of patients with epilepsy who achieve seizure remission on antiseizure medications (ASMs), patients and clinicians must weigh the pros and cons of long-term ASM treatment. However, little work has evaluated how often ASM discontinuation occurs in practice. We describe the incidence of and predictors for sustained ASM fill gaps to measure discontinuation in individuals potentially eligible for ASM withdrawal.

METHODS

This was a retrospective cohort of Medicare beneficiaries. We included patients with epilepsy by requiring International Classification of Diseases codes for epilepsy/convulsions plus at least one ASM prescription each year 2014-2016, and no acute visit for epilepsy 2014-2015 (i.e., potentially eligible for ASM discontinuation). The main outcome was the first day of a gap in ASM supply (30, 90, 180, or 360 days with no pills) in 2016-2018. We displayed cumulative incidence functions and identified predictors using Cox regressions.

RESULTS

Among 21,819 beneficiaries, 5191 (24%) had a 30-day gap, 1753 (8%) had a 90-day gap, 803 (4%) had a 180-day gap, and 381 (2%) had a 360-day gap. Predictors increasing the chance of a 180-day gap included number of unique medications in 2015 (hazard ratio [HR] 1.03 per medication, 95% confidence interval [CI] 1.01-1.05) and epileptologist prescribing physician (≥25% of that physician's visits for epilepsy; HR 2.37, 95% CI 1.39-4.03). Predictors decreasing the chance of a 180-day gap included Medicaid dual eligibility (HR 0.75, 95% CI 0.60-0.95), number of unique ASMs in 2015 (e.g., 2 versus 1: HR 0.37, 95% CI 0.30-0.45), and greater baseline adherence (> 80% versus ≤80% of days in 2015 with ASM pill supply: HR 0.38, 95% CI 0.32-0.44).

CONCLUSIONS

Sustained ASM gaps were rarer than current guidelines may suggest. Future work should further explore barriers and enablers of ASM discontinuation to understand the optimal discontinuation rate.

Psychiatric comorbidities and all-cause mortality in epilepsy: A nationwide cohort study

Background

People with epilepsy (PWE) having comorbid psychiatric conditions may be at greater risk of death. We aimed to determine the association between psychiatric disorders and all-cause mortality among PWE after adjustment for somatic comorbidities.

Methods

Based on data from the National Health Insurance Fund, a Cox survival analysis was done within a retrospective open cohort of all PWE (≥12 years) in Lithuania between January 2014 and June 2020. Cox models comparing mortality between PWE with or without psychiatric comorbidities were adjusted for sex, age, hospitalizations, and the epilepsy-specific comorbidity index.

Results

Of 47,964 PWE (age Md = 49, IQR = 34–62 years, 60.3% male, follow-up Md = 4.4, IQR = 2.1–6.1 years), 10,290 (21.5%) died during the study. The diagnosis of any psychiatric disorder (n = 26,137, 54.5%) was associated with increased mortality when adjusted for only sex and age (HR = 1.13, 95% CI = 1.09 to 1.18). After including the epilepsy-specific comorbidity index, the number of hospitalizations and hospital days in the analysis, only self-harm (HR = 1.55, 95% CI = 1.40 to 1.71) and substance use disorders (HR = 1.39 95% CI = 1.32 to 1.47), but not any psychiatric comorbidities (HR = 0.92 95% CI = 0.88 to 0.96) were related to elevated all-cause mortality. Mood, anxiety and behavioral disorders were associated with lower odds of mortality; however, they were rarely documented.

Conclusions

Our results suggest that psychiatric comorbidities increase all-cause mortality among PWE through their association with coexisting somatic conditions as only substance use disorders and self-harm were independently related to elevated all-cause mortality. Future clinical interview-based studies should explore the relationship between mortality in epilepsy and psychiatric comorbidities while adjusting for somatic comorbidities.

PhenoDEF: a corpus for annotating sentences with information of phenotype definitions in biomedical literature

Background

Adverse events induced by drug-drug interactions are a major concern in the United States. Current research is moving toward using electronic health record (EHR) data, including for adverse drug events discovery. One of the first steps in EHR-based studies is to define a phenotype for establishing a cohort of patients. However, phenotype definitions are not readily available for all phenotypes. One of the first steps of developing automated text mining tools is building a corpus. Therefore, this study aimed to develop annotation guidelines and a gold standard corpus to facilitate building future automated approaches for mining phenotype definitions contained in the literature. Furthermore, our aim is to improve the understanding of how these published phenotype definitions are presented in the literature and how we annotate them for future text mining tasks.

Results

Two annotators manually annotated the corpus on a sentence-level for the presence of evidence for phenotype definitions. Three major categories (inclusion, intermediate, and exclusion) with a total of ten dimensions were proposed characterizing major contextual patterns and cues for presenting phenotype definitions in published literature. The developed annotation guidelines were used to annotate the corpus that contained 3971 sentences: 1923 out of 3971 (48.4%) for the inclusion category, 1851 out of 3971 (46.6%) for the intermediate category, and 2273 out of 3971 (57.2%) for exclusion category. The highest number of annotated sentences was 1449 out of 3971 (36.5%) for the “Biomedical & Procedure” dimension. The lowest number of annotated sentences was 49 out of 3971 (1.2%) for “The use of NLP”. The overall percent inter-annotator agreement was 97.8%. Percent and Kappa statistics also showed high inter-annotator agreement across all dimensions.

Conclusions

The corpus and annotation guidelines can serve as a foundational informatics approach for annotating and mining phenotype definitions in literature, and can be used later for text mining applications.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13326-022-00272-6.

International Classification of Diseases Codes are Useful in Identifying Cirrhosis in Administrative Databases

BACKGROUND

Health administrative databases are essential to define patient populations, make socioeconomic predictions, and facilitate medical research and healthcare planning. The accuracy of this data is dependent on valid codes/coding algorithms.

AIMS

The aim of this study was to systematically identify and summarize the validity of International Classification of Diseases (ICD) codes for identifying patients with cirrhosis in administrative data.

METHODS

Electronic databases, MEDLINE (via Ovid), EMBASE (via Ovid), the Web of Science, and CINAHL (via EBSCOhost), were searched for validation studies which compared ICD codes related to cirrhosis to a clinical reference standard, and reported statistical measures of performance.

RESULTS

Fourteen studies were included in the review. There was a large variation in the algorithms used to validate ICD codes to diagnose cirrhosis. Despite the variation, the positive predictive value (PPV) was greater than 84% and the specificity was greater than 75% in the majority of the studies. The negative predictive value (NPV) was lower, but still was associated with values greater than 70% in the majority of studies. Sensitivity data varied significantly with values ranging from 0.27 to 99%.

CONCLUSIONS

Evaluated ICD codes for cirrhosis, including codes for chronic liver disease, cirrhosis-specific codes, and cirrhosis-related complications, have demonstrated variable sensitivity and reasonable specificity for the identification of cirrhosis. Additional research is needed to maximize the identification of persons with cirrhosis to avoid underestimating the burden of disease.

Estimating prevalence of child and youth mental disorder and mental health-related service contacts: a comparison of survey data and linked administrative health data

AIMS

Prevalence estimates of child and youth mental disorder and mental health-related service contacts are needed for policy formulation, research, advocacy and resource allocation. Our aim is to compare prevalence estimates of child and youth mental disorder and mental health-related service contacts derived from general population survey data v. linked administrative health data.

METHODS

Provincially representative 2014 Ontario Child Health Study data were linked to administrative health records for 5563 children and youth aged 4-17 in Ontario. Emotional disorders (mood and anxiety) and attention-deficit/hyperactivity disorder were assessed using a standardised diagnostic interview in the survey and using diagnostic codes in administrative health data. Physician-based mental health-related service contacts were assessed using parent self-reports from the survey and administrative data related to mental health-related diagnostic codes. Prevalence estimates were calculated and compared based on one-sample z-tests and ratios of survey data to administrative data-based prevalence. Sensitivity, specificity and agreement between classifications were compared using κ. Prevalence estimates were calculated by age, sex and geography sub-groups and consistent group differences across data source were counted.

RESULTS

Disorder prevalence and service contact estimates were significantly higher in survey data in all cases, except for mood disorder. Ratios of survey data to administrative data-based prevalence varied, ranging from 0.80 (mood) to 11.01 (attention-deficit/hyperactivity disorder). Specificity was high (0.98-1.00), sensitivity was low (0.07-0.41) and agreement ranged from slight (κ = 0.13) to moderate (κ = 0.46). Out of 18 sub-group difference comparisons, half were non-significant in either data source. In the remaining nine comparisons, the only significant differences between groups that were consistent across data source were for sex-based differences (attention-deficit/hyperactivity disorder and service contacts). There were no consistent age- or geography-based differences in prevalence across data sources.

CONCLUSIONS

Our findings suggest that conclusions drawn about prevalence, service contacts and sub-group differences in these estimates are dependent on data source. Further research is needed to understand who and what is being captured by each source. Researchers should conduct data linkage where possible to access and compare multiple sources of information.

Psychological Health and Diabetes Self-Management among Patients with Type 2 Diabetes during COVID-19 in the Southwest of Saudi Arabia

Background and objectives: The prevalence of type 2 diabetes in Saudi Arabia is high and rising steeply. However, the management of type 2 diabetic patients has largely employed a medical approach and ignored the self-care management approach. This observation has even been obscured further by the COVID-19 pandemic, which has affected the psychological health of these patients. This study aimed to understand the effects of psychological health and DSM on type 2 diabetic patients in the Jazan region during COVID-19. Materials and methods: An analytical cross-sectional study was employed in this study. Participants were type 2 diabetic patients from the diabetic center at Jazan, Saudi Arabia. The Arabic-translated version of the Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder Scale (GAD-7) were used to collect data. Data were analyzed using SPSS software. Results: Depression and anxiety were higher in females compared to males and were more reported by participants from urban compared to rural settings. Smoking and Khat chewing were inappropriate diabetic self-care management practices while exercising was appropriate. A negative correlation was observed between depression vs. health care utilization, and depression vs. diabetic self-care management. Anxiety results also showed similar findings to that of depression. Additionally, depression and anxiety were easily predicted by urban residence, and diabetic self-care management was predicted by exercise. Conclusions: Adequate self-care behavior in patients with type 2 diabetes is needed. Medical professionals should ensure improved efforts to accurately ascertain how an individual can implement the recommended lifestyle changes and facilitate self-care education.

Association Between Antidepressant Use and Adherence to Anti-hyperglycemic Medications in Adults With Type 2 Diabetes and Depression: A Retrospective Cohort Study

OBJECTIVES

Depression is a known risk factor for poor medication adherence, but it is unclear whether depression treatment affects adherence rates. In this study, we examined the association between pharmacologic treatment of a new depressive episode and subsequent adherence to oral anti-hyperglycemic medications.

METHODS

In this retrospective cohort study we used administrative health data to follow adult new metformin users in Alberta, Canada, between 2008 and 2018. Depressive episodes starting ≥1 year after metformin initiation were identified and individuals starting antidepressant treatment within the first 90 days were compared with those who did not. The proportion of days covered (PDC) with oral anti-hyperglycemic medications in the subsequent year (days 91 to 455) was used to estimate adherence. The association between antidepressant treatment and poor adherence (PDC<0.8) was examined using multivariate logistic regression models.

RESULTS

A new depressive episode occurred in 6,201 people, with a mean age of 56.0 (standard deviation [SD], 15.4) years. Of this cohort, 3,303 (53.2%) were women. Mean PDC was 0.55 (SD, 0.41); 924 (57.0%) of 1,621 people who started antidepressant treatment and 2,709 (59.2%) of 4,580 controls had poor adherence (p=0.13). After adjusting for baseline comorbidities and other characteristics, antidepressant treatment was associated with a lower likelihood of poor adherence (adjusted odds ratio, 0.85; 95% confidence interval, 0.75 to 0.96; p=0.007).

CONCLUSIONS

Although overall adherence to anti-hyperglycemic medications was low after onset of a depressive episode, antidepressant treatment was associated with a lower likelihood of poor adherence.

Diagnoses and Treatment After Depression Screening in Primary Care Among Youth

INTRODUCTION

Depression screening is universally recommended for adolescents presenting in primary care settings in the U.S. However, little is known about how depression screening affects the likelihood of being diagnosed with a mental disorder or accessing mental health care over time.

METHODS

This longitudinal cohort study used insurance claims data from adolescents who attended a well-visit between 2014 and 2017. Propensity score matching was used to compare adolescents who were screened for depression with similar unscreened adolescents. Diagnoses and treatment uptake were examined over a 6-month follow-up and included depression diagnoses, mood-related diagnoses, antidepressant medications, any mental health medication, and psychotherapy. Heterogeneity of associations by sex was also examined. Analyses were conducted from December 2020 to June 2021.

RESULTS

The sample included 57,732 adolescents (mean age, 14.26 years; 48.9% female). Compared with adolescents who were not screened for depression, adolescents screened for depression were 30% more likely to be diagnosed with depression (risk ratio=1.30, 95% CI=1.11, 1.52) and 17% more likely to receive a mood-related diagnosis (risk ratio=1.17, 95% CI=1.08, 1.27) but were not more likely to be treated with an antidepressant medication (risk ratio=1.11, 95% CI=0.82, 1.51), any mental health medication (risk ratio=1.15, 95% CI=0.87, 1.53), or psychotherapy (risk ratio=1.13, 95% CI=0.98, 1.31). Associations were generally stronger among female adolescents.

CONCLUSIONS

Adolescents who were screened for depression during a well-visit were more likely to receive a diagnosis of depression or a mood-related disorder in the 6 months after screening. Future research should explore methods for increasing treatment uptake after screening.

Characterizing primary care for patients with major depressive disorder using electronic health records of a US-based healthcare provider

BACKGROUND

Major depressive disorder (MDD) is predominantly managed in primary care. However, primary care providers (PCPs) may not consistently follow evidence-based treatment algorithms, leading to variable patient management that can impact outcomes.

METHODS

We retrospectively analyzed adult patients with MDD seen at Geisinger, an integrated health system. Utilizing electronic health record (EHR) data, we classified patients as having MDD based on International Classification of Disease (ICD)-9/10 codes or a Patient Health Questionnaire (PHQ)-9 score ≥5. Outcomes assessed included time to first visit with a PCP or behavioral health specialist following diagnosis, antidepressant medication switching, persistence, healthcare resource utilization (HRU), and treatment costs.

RESULTS

Among the 38,321 patients with MDD managed in primary care in this study, significant delays between diagnosis with antidepressant prescribing and follow-up PCP visits were observed. There was also considerable variation in care following diagnosis. Overall, 34.9% of patients with an ICD-9/10 diagnosis of MDD and 41.3% with a PHQ-9 score ≥15 switched antidepressants. An ICD-9/10 diagnosis, but not moderately severe to severe depression, was associated with higher costs and HRU. More than 75% of patients with MDD discontinued antidepressant medication within 6 months.

LIMITATIONS

The study population was comparable with other real-world studies of MDD, but study limitations include its retrospective nature and reliance on the accuracy of EHRs.

CONCLUSIONS

Management of patients with MDD in a primary care setting is variable. Addressing these gaps will have important implications for ensuring optimal patient management, which may reduce HRU and treatment medication costs, and improve treatment persistence.

Cost and Utilization Impacts of a Medicaid Managed Care Organization's Behavioral Health Wraparound Program

Wraparound programs that provide comprehensive evidence-based outpatient treatment, transportation, social services, and housing supports have shown promise for improving clinical behavioral health-related outcomes to reduce the need for institutionalized care; however, the majority of evidence is based on wraparound programs for children. This study examined the impact of a wraparound program for adult Medicaid managed care organization members with serious mental health or substance use disorders on health care costs and utilization. This retrospective observational study used 2013-2018 claims data collected from a large Medicaid managed care organization operating in multiple states. We used an intention-to-treat difference-in-difference study design to examine the association of the wraparound with costs and utilization. Adult Medicaid members with an emergency department (ED) or inpatient visit for a behavioral health condition (index visit) were eligible for the study. Outcomes included all-cause and behavioral health-related costs and utilization during follow-up after the index visit's admission date. Outcomes were calculated overall, as well as separately by inpatient, ED, and outpatient/wraparound settings. We found that during the first post-admission month, the wraparound program was associated with 27.6 percentage points (PP) and 27.2 PP reductions in the number of behavioral health-related inpatient nights and costs, respectively. However, during subsequent months (median follow-up ranging from 7 to 10 months) there were no associations with per-member-per-month total all-cause or behavioral health-related costs. Nonetheless, the wraparound program was associated with 12.3 PP reduction in all-cause cost during the entire study period among a subset of members who were high cost at the baseline. Reduced hospital utilization and costs during the first month of wraparound services were fully counteracted by outpatient, housing, and other wraparound services costs during the following months. This indicates the importance of proper payment arrangements with value-based contracting or performance targets with wraparound services providers to align the objective of reducing inpatient use. Future wraparound programs may consider a more focused recruitment from high-cost members with complex care needs. However, our estimates were conservative given that it's from a single Medicaid managed care organization's perspective and some benefit from investing in addressing social needs may be realized in longer term (beyond our study period). States' Medicaid programs may consider the longer-term cost and broader, societal benefit of wraparound investment.

Neuropsychological Outcomes in Individuals With Type 1 and Type 2 Diabetes

OBJECTIVE

To determine the prevalence of neuropsychological outcomes in individuals with type 1 diabetes compared to individuals with type 2 diabetes or without diabetes, and to evaluate the association of diabetes status and microvascular/macrovascular complications with neuropsychological outcomes.

PATIENTS AND METHODS

We used a nationally representative healthcare claims database of privately insured individuals (1/1/2001-12/31/2018) to identify individuals with type 1 diabetes. Propensity score matching was used as a quasi-randomization technique to match type 1 diabetes individuals to type 2 diabetes individuals and controls. Diabetes status, microvascular/macrovascular complications (retinopathy, neuropathy, nephropathy, stroke, myocardial infarction, peripheral vascular disease, amputations), and neuropsychological outcomes (mental health, cognitive, chronic pain, addiction, sleep disorders) were defined using ICD-9/10 codes. Logistic regression determined associations between diabetes status, microvascular/macrovascular complications, and neuropsychological outcomes.

RESULTS

We identified 184,765 type 1 diabetes individuals matched to 524,602 type 2 diabetes individuals and 522,768 controls. With the exception of cognitive disorders, type 2 diabetes individuals had the highest prevalence of neuropsychological outcomes, followed by type 1 diabetes, and controls. After adjusting for the presence of microvascular/macrovascular complications, type 1 diabetes was not significantly associated with a higher risk of neuropsychological outcomes; however, type 2 diabetes remained associated with mental health, cognitive, and sleep disorders. The presence of microvascular/macrovascular complications was independently associated with each neuropsychological outcome regardless of diabetes status.

CONCLUSION

Microvascular/macrovascular complications are associated with a high risk of neuropsychological outcomes regardless of diabetes status. Therefore, preventing microvascular and macrovascular complications will likely help reduce the likelihood of neuropsychological outcomes either as the result of similar pathophysiologic processes or by preventing the direct and indirect consequences of these complications. For individuals with type 2 diabetes, risk factors beyond complications (such as obesity) likely contribute to neuropsychological outcomes.

Effect of the COVID-19 pandemic on the psychotropic drug consumption

IMPORTANCE

Although the COVID-19 pandemic has had a negative impact on mental health, there is no comprehensive longitudinal study of the entire population of a country without selection bias.

OBJECTIVE

The objective of this study was to evaluate the prescription of psychotropic drugs during the COVID-19 pandemic, using data from the French national health data system (SNDS).

DESIGN SETTINGS AND PARTICIPANTS

Prescriptions for psychotropic drugs (antidepressants, anxiolytics, hypnotics, and antipsychotics) from 1 January 2015 to 30 September 2021 were collected from administrative data provided by the SNDS. This database includes more than 99% of the French population, i.e., 67 million people. The data were analyzed using an interrupted time series analysis (ITSA) model.

MAIN OUTCOMES AND MEASURES

Consumption of psychotropic drugs was aggregated in months and expressed in number of boxes per thousand inhabitants.

RESULTS

During the study period, more than 1.3 billion boxes of psychotropic medications were dispensed. Comparison of psychotropic drug dispensing before and after the pandemic showed a relative increase of 0.76 (95 CI 0.57 to 0.95, p<0.001) boxes per month per thousand inhabitants, all classes of psychotropic drugs combined. Three classes saw their consumption increase in an almost similar proportion, respectively, by 0.23 (0.15 to 0.32, p<0.001) boxes for antidepressants, 0.27 (0.20 to 0.34, p<0.001) boxes for anxiolytics and 0.23 (0.17 to 0.30, p<0.001) boxes for hypnotics. The change in antipsychotic consumption was very small, with an increase of 0.04 boxes (0.02 to 0.06, p = 0.001) per month per thousand population.

CONCLUSION AND RELEVANCE

The COVID-19 pandemic had led to an increase in the consumption of psychotropic drugs, confirming the significant impact of the pandemic on the mental health of the general population.

New-onset depression after colorectal cancer diagnosis: a population-based longitudinal study

INTRODUCTION

To date, no large studies examining the temporal relationship between colorectal cancer (CRC) and the subsequent development of depressive disorders exist. We aimed to assess the incidence of depression post-colorectal cancer (CRC) diagnosis.

METHODS

To conduct this longitudinal study, we searched the large US population-based database, Explorys (IBM), from January 1, 1999, to January 1, 2021. We investigated new-onset depression and its associated mortality as well as the role of the mental health provider post-CRC diagnosis. Confidence intervals were calculated for all outcomes and multivariate regression analysis was performed.

RESULTS

Incident depression post-CRC diagnosis was 20.8 vs 8.9 per 100 person-years [OR 3.46, p < 0.0001] in the general population and conferred a 123% increased risk of all-cause mortality [P < 0.0001]. Male patients (OR: 1.89) were more likely to become depressed post-CRC diagnosis as compared to females. Moreover, the absolute number of male patients with post-CRC depression was significantly higher than that of females (68% vs 32%; P < 0.0001). In addition, depression after CRC was more common among Whites (OR: 1.68) and patients aged > 65 years (OR: 5.17). Referral to a mental health provider resulted in significantly lower all-cause mortality (3.6% vs 26.9%; p < 0.0001).

DISCUSSION

Our findings advocate for initiating depression screening for high-risk patients post-CRC diagnosis and prompt mental health provider referral.

Depression readmission risk is elevated in multiple sclerosis compared to other chronic illnesses

OBJECTIVE

Assess readmissions for depression or suicide attempt (SA) after MS admission versus other chronic inflammatory illnesses.

METHODS

This retrospective cohort study identified MS, asthma, rheumatoid arthritis (RA), depression, and SA in the 2013 National Readmissions Database by International Classification of Diseases codes. Index admissions (MS, n = 7698; asthma, n = 93,590; RA, n = 3685) and depression or SA readmission rates were analyzed. Hazard ratios (HRs) estimated 1-year depression/SA readmission hazard, comparing MS to asthma or RA, adjusting for age, sex, psychiatric comorbidity, substance abuse, tobacco use, income, and index hospitalization characteristics.

RESULTS

MS had more baseline depression (24.7%) versus asthma (15.6%) and RA (14.6%). Ninety-day depression readmission rate was higher in MS (0.5%) than asthma (0.3%) and RA (0.03%). Depression readmission HR was higher after MS admission versus asthma (HR = 1.37, 95% confidence interval (CI) = 1.00-1.86, p = 0.0485) and RA (HR = 4.68, 95% CI = 1.60-13.62, p = 0.0047). HR was not different for SA readmission across groups. Depression readmission HR was more than double in MS patients with psychiatric disease or substance abuse versus RA or asthma patients with either comorbidity.

CONCLUSION

Depression readmission risk after MS hospitalization was elevated versus asthma/RA. Substance use and baseline psychiatric comorbidity were more strongly associated with depression readmission in MS patients.

Validation of case definitions of depression derived from administrative data against the CIDI-SF as reference standard: results from the PROspective Québec (PROQ) study

BACKGROUND

Administrative data have several advantages over questionnaire and interview data to identify cases of depression: they are usually inexpensive, available for a long period of time and are less subject to recall bias and differential classification errors. However, the validity of administrative data in the correct identification of depression has not yet been studied in general populations. The present study aimed to 1) evaluate the sensitivity and specificity of administrative cases of depression using the validated Composite International Diagnostic Interview - Short Form (CIDI-SF) as reference standard and 2) compare the known-groups validity between administrative and CIDI-SF cases of depression.

METHODS

The 5487 participants seen at the last wave (2015-2018) of the PROQ cohort had CIDI-SF questionnaire data linked to hospitalization and medical reimbursement data provided by the provincial universal healthcare provider and coded using the International Classification of Disease. We analyzed the sensitivity and specificity of several case definitions of depression from this administrative data. Their association with known predictors of depression was estimated using robust Poisson regression models.

RESULTS

Administrative cases of depression showed high specificity (≥ 96%), low sensitivity (19-32%), and rather low agreement (Cohen's kappa of 0.21-0.25) compared with the CIDI-SF. These results were consistent over strata of sex, age and education level and with varying case definitions. In known-groups analysis, the administrative cases of depression were comparable to that of CIDI-SF cases (RR for sex: 1.80 vs 2.03 respectively, age: 1.53 vs 1.40, education: 1.52 vs 1.28, psychological distress: 2.21 vs 2.65).

CONCLUSION

The results obtained in this large sample of a general population suggest that the dimensions of depression captured by administrative data and by the CIDI-SF are partially distinct. However, their known-groups validity in relation to risk factors for depression was similar to that of CIDI-SF cases. We suggest that neither of these data sources is superior to the other in the context of large epidemiological studies aiming to identify and quantify risk factors for depression.

Co-Occurring Opioid Use and Depressive Disorders: Patient Characteristics and Co-Occurring Health Conditions

OBJECTIVE

Among persons with opioid use disorder (OUD), co-occurring depression is linked to a greater risk of opioid misuse, overdose and suicide. Less is known about characteristics and other comorbid health conditions of persons with co-occurring opioid use and depressive disorders.

METHODS

This study used electronic health record (EHR) encounters from the Geisinger Health System prior to the fall of 2019. Adult patients were recruited from a medication-based treatment clinic and had an OUD diagnosis (N = 692). Co-occurring depression was defined by a depression diagnosis in the EHR. Multivariable logistic regression was performed to assess differences in characteristics, behavioral health and medical diagnoses, as well as opioid overdose and suicide attempt or ideation between individuals with and without comorbid depression.

RESULTS

Forty-seven percent of patients with OUD had a lifetime depression diagnosis. Individuals with co-occurring depression were more likely to be female and have comorbid chronic pain or other medical conditions. Co-occurring depression was associated with an increased likelihood of other mental health and substance use disorders, as well as opioid overdose and/or suicide attempt or ideation.

CONCLUSIONS

While it is established that co-occurring depression is associated with increased risk of overdose and suicide, this study adds that other health conditions, including chronic pain and common medical conditions, are more prevalent among persons with co-occurring depressive disorders. Results highlight the need to consider these complex health needs when developing treatment plans and services.

Use of healthcare resources in patients with low back pain and comorbid depression or anxiety

BACKGROUND CONTEXT

Psychological comorbidities are important prognostic factors for low back pain (LBP). To develop improved treatment paradigms, it is first necessary to characterize and determine current patterns of treatment in this population.

PURPOSE

Identify how comorbid depression or anxiety in patients with LBP is related to use of healthcare resources.

STUDY DESIGN/SETTING

Retrospective cohort study using electronic health records from outpatient offices at a large multisite academic medical center.

PATIENT SAMPLE

Data from 513,088 unique patients seen between January 2010 and July 2020 (58.0% female, 52.6±19.5 years) with a diagnosis of LBP, indicated by predetermined ICD-9 and ICD-10 codes.

OUTCOME MEASURES

Average self-reported pain scores, absolute differences and unadjusted risk ratios to compare opioid use, emergency department visits, hospitalizations, advanced imaging orders, spinal injections, and back surgeries between cohorts.

METHODS

Clinical characteristics and data regarding use of healthcare resources were extracted from the electronic health record. Clinical features and patterns in healthcare utilization were determined for patients with depression or anxiety compared to those without.

RESULTS

Depression or anxiety was coded for 21.4% of patients at first LBP visit. Those with depression or anxiety were more likely to be on opioids (unadjusted risk ratio: 1.22, CI: [1.22,1.23]), go to the emergency department (1.31 [1.30-1.33]), be hospitalized (1.15 [1.13, 1.17]), receive advanced imaging (1.09 [1.08, 1.11]), receive an epidural steroid injection (1.16 [1.15, 1.18]), and less likely to have back surgery (0.74 [0.72, 0.77]). Differences in pain scores for those with depression/anxiety compared to those without were not clinically significant.

CONCLUSIONS

Depression/anxiety is associated with increased use of healthcare resources, and is not associated with clinically meaningful elevated pain scores. Limitations come from use of an aggregate data set and reliance on administrative coding.

Healthcare utilization and mortality outcomes in patients with pre-existing psychiatric disorders after intensive care unit discharge: A population-based retrospective cohort study

PURPOSE

Pre-existing psychiatric disorders may lead to negative outcomes following intensive care unit (ICU) discharge. We evaluated the association of pre-existing psychiatric disorders with subsequent healthcare utilization and mortality in patients discharged from ICU.

MATERIALS AND METHODS

We retrospectively studied adult patients admitted to 14 medical-surgical ICUs (January 2014-June 2016) with ICU length stay ≥24 h who survived to hospital discharge. Pre-existing psychiatric disorders were identified using algorithms for diagnostic codes captured ≤5 years before ICU admission. Outcomes were healthcare utilization (emergency department visit, hospital or ICU readmission) and mortality. We used logistic regression models with propensity scores to estimate associations, converted to risk ratios (RR).

RESULTS

We included 10,598 patients. 37.6% (n = 3982) had a psychiatric history. Patients with pre-existing psychiatric disorders were at higher risk of subsequent emergency department visits (RR 1.49, 95%CI 1.29-1.71), hospital readmission (RR 1.49, 95%CI 1.34-1.66), ICU readmission (RR 2.64, 95%CI 1.55-4.49) one-year post-ICU discharge, compared to patients without pre-existing psychiatric disorders. Patients with pre-existing psychiatric disorders had a higher risk of mortality (RR 1.31, 95%CI 1.00-1.71) six-months post-ICU discharge.

CONCLUSION

Critically ill patients with pre-existing psychiatric disorders have an increased risk of healthcare utilization and mortality outcomes following an ICU stay.

A matched-control study on the effects of depressive disorders following open reduction and internal fixation for acetabular fractures

INTRODUCTION

The World Health Organization (WHO) postulates that depressive disorders (DD) will be the leading cause of morbidity and mortality by 2030. Studies evaluating the association of DD following open reduction and internal fixation (ORIF) for the treatment of acetabular fractures are limited. Therefore, the purpose of this matched-control study was to determine whether DD patients undergoing ORIF for acetabular fractures have higher rates of: (1) in-hospital lengths of stay (LOS); (2) readmissions; (3) medical complications; and (4) costs of care.

MATERIALS AND METHODS

A retrospective query from the 100% Medicare Standard Analytical Files (SAF) was performed to identify patients who underwent ORIF for acetabular fractures. The study group consisted of those patients with DD, whereas patients without the condition served as controls. Primary endpoints of the study were to compare in-hospital LOS, readmission rates, ninety-day medical complications, and costs of care. A p-value less than 0.01 was considered statistically significant.

RESULTS

The query yielded 7084 patients within the study (ORIF = 1187, control = 5897). DD patients were found to have significantly longer in-hospital LOS (11 days vs. 10 days, p < 0.0001); however, odds (OR) of readmission rates were similar (23.16 vs. 18.68%; OR: 0.91, p = 0.26). Multivariate regression demonstrated DD to be associated with significantly higher (67.69 vs. 25.54%; OR: 2.64, p < 0.0001) 90-day medical complications. DD patients had significantly higher day of surgery ($30,505.93 vs. $28,424.85, p < 0.0001) and total global 90-day costs ($41,721.98 vs. $37,330.16, p < 0.0001) of care.

CONCLUSION

After adjusting for covariates, DD is associated with longer in-hospital, complications, and costs of care in patients undergoing ORIF for the treatment of acetabular fractures, whereas readmission rates are similar. The study is vital as it can be used by orthopaedists and healthcare professionals to adequately educate these patients of the potential outcomes following their surgical procedure.