A systematic review of validated methods for identifying depression using administrative data

Assessing the Risk for Falls in Older Adults After Initiating Gabapentin Versus Duloxetine

BACKGROUND

The evidence informing the harms of gabapentin use are at risk of bias from comparing users with nonusers.

OBJECTIVE

To describe the risk for fall-related outcomes in older adults starting treatment with gabapentin versus duloxetine.

DESIGN

New user, active comparator study using a target trial emulation framework.

SETTING

MarketScan (IBM) commercial claims between January 2014 and December 2021.

PARTICIPANTS

Adults aged 65 years or older with diabetic neuropathy, postherpetic neuralgia, or fibromyalgia and without depression, anxiety, seizures, or cancer in the 365 days before cohort entry.

INTERVENTION

New initiation of treatment with gabapentin or duloxetine (comparator).

MEASUREMENTS

The primary outcome was the hazard of experiencing any fall-related visit in the 6 months after initiating gabapentin or duloxetine until discontinuation of treatment. Secondary outcomes were hazard of severe fall-related events defined as a fall associated with hip fracture or emergency department visit or hospitalization associated with a fall. Stabilized inverse probability of treatment weighting was used to adjust for baseline characteristics.

RESULTS

Our analytic cohort included 57 086 older adults with a diagnosis of interest initiating treatment with gabapentin (n = 52 152) or duloxetine (n = 4934). Overall median follow-up duration was 30 days (IQR, 30 to 90 days). Weighted cumulative incidence of a fall-related visit per 1000 person-years at 30, 90, and 180 days was 103.60, 90.44, and 84.44 for gabapentin users and 203.43, 177.73, and 158.21 for duloxetine users, respectively. At 6-month follow-up, incident gabapentin users had lower hazard of falls (hazard ratio, 0.52 [95% CI, 0.43 to 0.64]), but there was no difference in the hazards of experiencing severe falls. Results were similar across sensitivity and subgroup analyses.

LIMITATION

Claims may contain fewer frail adults and undercount falls.

CONCLUSION

Compared with incident use of duloxetine, incident use of gabapentin was not associated with increased fall-related visits.

PRIMARY FUNDING SOURCE

None.

Initiation of Psychotropic Drugs in Spouses of Patients With Early-Onset Alzheimer's Disease: A Matched Cohort Study

OBJECTIVES

The diagnosis of early-onset Alzheimer's disease (EOAD) can cause emotional stress not only to the patients themselves but also to their spouses. This study aimed to evaluate the risk of psychiatric disorders in spouses of EOAD patients, using psychotropic drug initiation as a surrogate indicator.

METHODS

A cohort study was conducted using a Japanese claims database, with spouses of EOAD patients (exposed spouses) matched with spouses of non-EOAD individuals (reference spouses) up to a 1:10 ratio. Primary outcome was the initiation of mood disorder drugs, and secondary outcomes were the initiation of drugs for anxiety disorders, sleep disorders, and schizophrenia spectrum disorders. Four study cohorts were created according to each outcome analysis. Multivariable Cox regression models were used to estimate adjusted hazard ratios (aHRs) and their 95% confidence intervals (CIs) for study outcomes.

RESULTS

The analysis of mood disorder drugs included 395 exposed spouses and 3711 reference spouses. The proportion of patients excluded from the analysis due to prescription of mood disorder drugs during the baseline period was 4.3% higher among exposed spouses than reference spouses. There was no major difference between groups with respect to mood disorder drug initiation after 1 year (aHR, 2.08 [95% CI, 0.61 to 7.13]). In subgroup analysis of females and dependents, exposed spouses showed a higher rate of initiation (females: aHR, 6.39 [95% CI, 1.24 to 32.80]; dependents: aHR, 6.47 [95% CI, 1.25 to 33.55]). No substantial differences in secondary outcomes were observed in any comparison.

CONCLUSIONS

This study does not conclusively demonstrate an increase in mood disorder drug initiation among spouses of EOAD patients overall; however, initiation rates may be higher among female or dependent spouses. Our findings also suggest that exposed spouses experience significant psychological stress prior to their partners' EOAD diagnoses.

Suicide and Intentional Self-harm Among Older Men Treated With 5-Alpha Reductase Inhibitor or Alpha-blockers for Benign Prostatic Hyperplasia

OBJECTIVE

To compare the risk of intentional self-harm (ISH) and suicide in older men using 5-α reductase inhibitors (5-ARIs) and alpha-blockers for benign prostatic hyperplasia (BPH). Observational research of older men with BPH suggested an increase in ISH with 5-ARI use compared with nonuse; we aimed to address potential confounding by indication with an active comparator reference group.

METHODS

Using Medicare data linked to the National Death Index (NDI) from 2007-2016, we implemented a retrospective cohort design in males aged ≥65 years who initiated 5-ARI or alpha-blocker use for BPH. ISH was identified using ICD-9-CM and ICD-10-CM diagnosis codes. Suicides were identified through cause-of-death information from the NDI. We used inverse probability of treatment weighted Cox proportional hazards regression to compare time-to-event between treatment groups, with robust variance estimation.

RESULTS

The event rates for ISH and suicide, respectively, were 0.314 and 0.308 per 1000 person-years (PY) among 5-ARI users (n = 181,675), and 0.364 and 0.382 per 1000PY among alpha-blocker users (n = 850,476). For 5-ARI use relative to alpha-blocker use, hazard ratios (HRs) for ISH and suicide, respectively, were 0.88 (95% CI:0.62-1.25) and 0.82 (95% CI:0.54-1.24); for the composite outcome (non-fatal ISH or suicide), the HR was 0.88 (95% CI:0.66-1.16). Subgroup and sensitivity analyses supported these results.

CONCLUSION

5-ARI use was not associated with an increased risk for ISH or suicide compared to alpha-blocker use in older men with BPH. Study limitations included low event rates and potentially low sensitivity for ISH events.

Depression in patients with hematologic malignancies: The current landscape and future directions

Patients with hematologic malignancies experience high rates of depression. These patients are vulnerable to depression throughout the disease trajectory, from diagnosis to survivorship, and at the end of life. In addition to the distressing nature of depression, it has substantial downstream effects including poor quality of life, increased risk of treatment complications, and worse survival. Therefore, systematic screening for depression and integration of robust psychological interventions for affected patients is crucial. Although depression has been historically studied mostly in patients with solid malignancies, research focusing on patients with hematologic malignancies is growing. In this article, we describe what is known about depression in patients with hematologic malignancies, including its assessment, prevalence, risk factors, and implications. We also describe interventions to ameliorate depression in this population. Future research is needed to test effective and scalable interventions to reduce the burden of depression among patients with blood cancers.

Cardiovascular Safety of Atomoxetine and Methylphenidate in Patients With Attention-Deficit/Hyperactivity Disorder in Japan: A Self-Controlled Case Series Study

OBJECTIVE

To investigate the association between atomoxetine or methylphenidate use and arrhythmia, heart failure (HF), stroke, and myocardial infarction (MI) in attention-deficit/hyperactivity disorder (ADHD) patients mainly focused on the people of working age.

METHODS

In a self-controlled case series study using a Japanese claims database, we identified events of arrhythmia, HF, stroke, and MI among 15,472 atomoxetine new users and 12,059 methylphenidate new users. Adjusted incidence rate ratios (aIRRs) of outcome events were estimated using multivariable conditional Poisson regression.

RESULTS

An increased risk of arrhythmia was observed during the first 7 days after the initial atomoxetine exposure (aIRR 6.22, 95% CI [1.90, 20.35]) and in the subsequent exposure (3.23, [1.58, 6.64]). No association was found between methylphenidate exposure and arrhythmia, nor between atomoxetine or methylphenidate exposure and HF. The limited number of stroke and MI cases prevented thorough analysis.

CONCLUSIONS

Clinicians should consider monitoring for arrhythmia after patients initiating or re-initiating atomoxetine.

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.

Diagnosing major depressive disorder and substance use disorder using the electronic health record: A preliminary validation study

Background

One mechanism to examine if major depressive disorder (MDD) is related to the development of substance use disorder (SUD) is by leveraging naturalistic data available in the electronic health record (EHR). Rules for data extraction and variable construction linked to psychometrics validating their use are needed to extract data accurately.

Objective

We propose and validate a methodologic framework for using EHR variables to identify patients with MDD and non-nicotine SUD.

Methods

Proxy diagnoses and index dates of MDD and/or SUD were established using billing codes, problem lists, patient-reported outcome measures, and prescriptions. Manual chart reviews were conducted for the 1-year period surrounding each index date to determine (1) if proxy diagnoses were supported by chart notes and (2) if the index dates accurately captured disorder onset.

Results

The results demonstrated 100% positive predictive value for proxy diagnoses of MDD. The proxy diagnoses for SUD exhibited strong agreement (Cohen's kappa of 0.84) compared to manual chart review and 92% sensitivity, specificity, positive predictive value, and negative predictive value. Sixteen percent of patients showed inaccurate SUD index dates generated by EHR extraction with discrepancies of over 6 months compared to SUD onset identified through chart review.

Conclusions

Our methodology was very effective in identifying patients with MDD with or without SUD and moderately effective in identifying SUD onset date. These findings support the use of EHR data to make proxy diagnoses of MDD with or without SUD.

Depression, worry, and loneliness are associated with subsequent risk of hospitalization for COVID-19: a prospective study

BACKGROUND

Pre-pandemic psychological distress is associated with increased susceptibility to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, but associations with the coronavirus disease 2019 (COVID-19) severity are not established. The authors examined the associations between distress prior to SARS-CoV-2 infection and subsequent risk of hospitalization.

METHODS

Between April 2020 (baseline) and April 2021, we followed 54 781 participants from three ongoing cohorts: Nurses' Health Study II (NHSII), Nurses' Health Study 3 (NHS3), and the Growing Up Today Study (GUTS) who reported no current or prior SARS-CoV-2 infection at baseline. Chronic depression was assessed during 2010-2019. Depression, anxiety, worry about COVID-19, perceived stress, and loneliness were measured at baseline. SARS-CoV-2 infection and hospitalization due to COVID-19 was self-reported. Relative risks (RRs) were calculated by Poisson regression.

RESULTS

3663 participants reported a positive SARS-CoV-2 test (mean age = 55.0 years, standard deviation = 13.8) during follow-up. Among these participants, chronic depression prior to the pandemic [RR = 1.72; 95% confidence interval (CI) 1.20-2.46], and probable depression (RR = 1.81, 95% CI 1.08-3.03), being very worried about COVID-19 (RR = 1.79; 95% CI 1.12-2.86), and loneliness (RR = 1.81, 95% CI 1.02-3.20) reported at baseline were each associated with subsequent COVID-19 hospitalization, adjusting for demographic factors and healthcare worker status. Anxiety and perceived stress were not associated with hospitalization. Depression, worry about COVID-19, and loneliness were as strongly associated with hospitalization as were high cholesterol and hypertension, established risk factors for COVID-19 severity.

CONCLUSIONS

Psychological distress may be a risk factor for hospitalization in patients with SARS-CoV-2 infection. Assessment of psychological distress may identify patients at greater risk of hospitalization. Future work should examine whether addressing distress improves physical health outcomes.

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.

Trajectory of Depression among Prostate Cancer Patients: A Secondary Analysis of a Randomized Controlled Trial

Background: While psychological difficulties, such as depression, among prostate cancer patients are known, their longitudinal burden remains understudied. We assessed the burden of depression across low-, intermediate- and high-risk prostate cancer groups, and the association between regret and long-term depression. Methods: Secondary analysis of data from a multi-centered randomized controlled study among localized prostate cancer patients was carried out. Assessments were performed at baseline, and at 3-, 6-, 12- and 24-month follow-up. Depression was assessed using the Center for Epidemiologic Studies Depression (CES-D) scale. A CES-D score ≥ 16 indicates high depression. Regret was measured using the regret scale of the Memorial Anxiety Scale for Prostate Cancer (MAX-PC). The proportion of patients with high depression was compared over time, for each risk category. Logistic regression was used to assess the association between regret, and long-term depression after adjusting for age, race, insurance, smoking status, marital status, income, education, employment, treatment, number of people in the household and study site. Results: The study had 743 localized prostate cancer patients. Median depression scores at 6, 12 and 24 months were significantly larger than the baseline median score, overall and for the three prostate cancer risk groups. The proportion of participants with high depression increased over time for all risk groups. Higher regret at 24-month follow-up was significantly associated with high depression at 24-month follow-up, after adjusting for covariates. Conclusions: A substantial proportion of localized prostate cancer patients continued to experience long-term depression. Patient-centered survivorship care strategies can help reduce depression and regret, and improve outcomes in prostate cancer care.

The importance of social activity to risk of major depression in older adults

BACKGROUND

Several social determinants of health (SDoH) have been associated with the onset of major depressive disorder (MDD). However, prior studies largely focused on individual SDoH and thus less is known about the relative importance (RI) of SDoH variables, especially in older adults. Given that risk factors for MDD may differ across the lifespan, we aimed to identify the SDoH that was most strongly related to newly diagnosed MDD in a cohort of older adults.

METHODS

We used self-reported health-related survey data from 41 174 older adults (50-89 years, median age = 67 years) who participated in the Mayo Clinic Biobank, and linked ICD codes for MDD in the participants' electronic health records. Participants with a history of clinically documented or self-reported MDD prior to survey completion were excluded from analysis (N = 10 938, 27%). We used Cox proportional hazards models with a gradient boosting machine approach to quantify the RI of 30 pre-selected SDoH variables on the risk of future MDD diagnosis.

RESULTS

Following biobank enrollment, 2073 older participants were diagnosed with MDD during the follow-up period (median duration = 6.7 years). The most influential SDoH was perceived level of social activity (RI = 0.17). Lower level of social activity was associated with a higher risk of MDD [hazard ratio = 2.27 (95% CI 2.00-2.50) for highest v. lowest level].

CONCLUSION

Across a range of SDoH variables, perceived level of social activity is most strongly related to MDD in older adults. Monitoring changes in the level of social activity may help identify older adults at an increased risk of MDD.

Hospital nursing factors associated with decreased odds of mortality in older adult medicare surgical patients with depression

Background

Depression is common, costly, and has deleterious effects in older adult surgical patients. Little research exists examining older adult surgical patient outcomes and depression and the potential for nursing factors to affect these outcomes. The purpose of this study was to determine the relationship between hospital nursing resources, 30-day mortality; and the impact of depression on this relationship.

Methods

This was a retrospective cohort study employing a national nurse survey, hospital data, and Medicare claims data from 2006–2007. The sample included: 296,561 older adult patients, aged 65–90, who had general, orthopedic, or vascular surgery in acute care general hospitals from 2006–2007, 533 hospitals and 24,837 nurses. Random effects models were used to analyze the association between depression, hospital nursing resources, and mortality.

Results

Every added patient per nurse was associated with a 4% increase in the risk-adjusted odds of mortality in patients with depression (p < 0.05). Among all patients, every 10% increase in the proportion of bachelor’s prepared nurses was associated with a 4% decrease in the odds of mortality (p < 0.001) and a one standard deviation increase in the work environment was associated with a 5% decrease in the odds of mortality (p < 0.05).

Conclusions

For older adult patients hospitalized for surgery, the risk of mortality is associated with higher patient to nurse ratio, lower proportion of BSN prepared nurses in the hospital, and worse hospital work environment. Addressing the mental health care needs of older adults in the general care hospital setting is critical to ensuring positive outcomes after surgery. Hospital protocols to lower the risk of surgical mortality in older adults with and without depression could include improving nurse resources.

Emergency health services use and medically-treated suicidal behaviors following depression screening among adolescents: A longitudinal cohort study

The primary goal of depression screening is to reduce adverse psychiatric outcomes, which may have downstream implications for reducing avoidable health services use. The objective of this study was to examine the association of depression screening with emergency health services use and medically-treated suicidal behaviors among adolescents in the U.S. This longitudinal cohort study used insurance claims data from 57,732 adolescents who had at least one well-visit between 2014 and 2017. Propensity score matching was used to compare adolescents who were screened for depression to similar adolescents who were not screened for depression during the well-visit. Outcomes were examined over two-year follow-up and included emergency department use and inpatient hospitalizations for depression-related reasons, mental health-related reasons, and any reason as well as medically-treated suicidal behaviors. Log-binomial regression models were used to examine associations between depression screening and each outcome in the matched sample. Heterogeneity of associations by sex was examined with interaction terms. Being screened for depression was not consistently associated with emergency department use (depression-related reasons: RR = 1.00, 95% CI = 0.76-1.30; mental health-related reasons: RR = 1.02, 95% CI = 0.80-1.29; any reason: RR = 0.96, 95% CI = 0.83-1.11), inpatient hospitalizations (depression-related reasons: RR = 1.05, 95% CI = 0.84-1.31; mental health-related reasons: RR = 1.16, 95% CI = 1.00-1.33; any reason: RR = 1.05, 95% CI = 0.99-1.12), or medically-treated suicidal behaviors (RR = 0.83, 95% CI = 0.51-1.36). Associations were similar in magnitude among male and female adolescents. The results of this study suggest that depression screening, as it is currently practiced in the U.S., may not deter avoidable health services use among adolescents.

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.

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.

Uterine fibroids and incidence of depression, anxiety and self-directed violence: a cohort study

BACKGROUND

Depression and anxiety are prevalent among women with uterine fibroids (UF). The rate of mental health diagnoses in women with UF has not been studied.

METHODS

Women aged 18-50 years with diagnosed UF were identified in the Optum Clinformatics commercial insurance claims database (OptumInsight, Eden Prairie, Minnesota) from 1 May 2000 to 31 March 2020 (n=313 754) and were matched 1:2 on age and calendar time to women without (n=627 539). Cox proportional hazards models estimated HRs and 95% CIs between UF and diagnosed depression, anxiety and self-directed violence, adjusting for demographics and comorbidities. Among women with diagnosed UF, the association between hysterectomy and mental health outcomes was estimated.

RESULTS

After adjusting for confounders, women with diagnosed UF had a higher rate of depression (HR: 1.12; 95% CI 1.10 to 1.13), anxiety (HR: 1.12; 95% CI 1.10 to 1.13) and self-directed violence (HR: 1.46; 95% CI 1.29 to 1.64) than women without. Among women with pain symptoms and heavy menstrual bleeding, the HR comparing women with diagnosed UF to women without was 1.21 (95% CI 1.18 to 1.25) for depression, 1.18 (95% CI 1.15 to 1.21) for anxiety and 1.68 (95% CI 1.35 to 2.09) for self-directed violence. Among women with diagnosed UF, the HR comparing women who underwent a hysterectomy to women who did not was 1.22 (95% CI 1.17 to 1.27) for depression, 1.13 (95% CI 1.09 to 1.17) for anxiety and 1.86 (95% CI 1.39 to 2.49) for self-directed violence.

CONCLUSIONS

Rates of depression, anxiety and self-directed violence were higher among women with diagnosed UF, particularly among those who experienced pain symptoms or who underwent hysterectomy.

Epidemiology of undiagnosed depression in people with diabetes mellitus: a comparative analysis of Ireland, England and the USA

OBJECTIVES

Improving detection of depression in people with diabetes is recommended. However, little is known about how different health systems compare in depression detection. We estimated and compared the (1) prevalence of depression detection in people with and without diabetes, and (2) association between diabetes and undiagnosed depression across three health systems.

DESIGN

Cross-sectional analysis of three nationally representative studies: The Irish Longitudinal Study on Ageing, the English Longitudinal Study on Ageing and the Health and Retirement Study.

SETTING

Community-dwelling adults in Ireland, England and the USA.

PARTICIPANTS

Adults aged ≥50 years.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome was depression diagnosis. The secondary outcome was any depression. Any depression was defined by the presence of self-reported doctor-diagnosed depression or current depression symptoms on the Centre for Epidemiological Studies-Depression scale. Depression diagnosis was categorised as: undiagnosed, symptomatic and diagnosed, and asymptomatic and diagnosed. We estimated age-standardised prevalence of depression diagnosis by country and diabetes status. Anyone who self-reported having ever received a doctor diagnosis of diabetes was classified as having diabetes. Among respondents with depression, we estimated the association between diabetes and undiagnosed depression by country using multivariable logistic regression.

RESULTS

The prevalence of depression (diagnosed and undiagnosed) was higher in people with diabetes in each country with absolute rates varying by country; undiagnosed prevalence (Ireland: diabetes 10.1% (95% CI 7.5% to 12.8%) vs no diabetes 7.5% (95% CI 6.8% to 8.2%), England: diabetes 19.3% (95% CI 16.5% to 22.2%) vs no diabetes 11.8% (95% CI 11.0% to 12.6%), USA: diabetes 7.4% (95% CI 6.4% to 8.4%) vs no diabetes 6.1% (95% CI 5.7% to 6.6%)). In the fully adjusted model, there was no clear pattern of association between diabetes status and undiagnosed depression; Ireland: OR=0.82 (95% CI 0.5 to 1.3), England: OR=1.47 (95% CI 1.0 to 2.1), USA: OR=0.80 (95% CI 0.7 to 1.0).

CONCLUSIONS

Although undiagnosed depression was more prevalent among people with diabetes, the relationship between diabetes and undiagnosed depression differed by country. Targeted efforts are needed to improve depression detection among community-dwelling older adults, particularly those with diabetes.

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.

Gender differences in the risk of depressive disorders following the loss of a young child: a nationwide population-based longitudinal study

BACKGROUND

Losing a child to death is one of the most stressful life events experienced in adulthood. The aim of the current study is to investigate parental risk of seeking treatment for major depression disorders (MDD) after a child's death and to explore whether such connection may operate differentially by parents' prior medical condition.

METHODS

We studied a retrospective cohort of 7245 parents (2987 mothers and 4258 fathers) identified in the National Health Insurance Research Database of Taiwan (NHIRD) who had lost a child with age between 1 and 12 years. For comparison, the parents of 1:4 birth year- and gender-matched non-deceased children were retrieved (16,512 mothers and 17,753 fathers). Gender-specific Cox regression analyses were performed to estimate risk.

RESULTS

Nearly 5.0% and 2.4% of bereaved mothers and fathers sought treatment for MDD within three years after a child's death, significantly higher than 0.8% and 0.5% in the non-bereaved parents. With covariate adjustment, the hazard ratio (HR) for maternal and paternal seeking treatment for MDD was estimated 4.71 (95% confidence interval [CI]: 3.35-6.64) and 1.93 (95% CI: 1.27-2.95), respectively. The increased risk of MDD varied by prior disease history; specifically, the increased risk of seeking treatment for MDD was especially prominent for those without chronic physical condition (CPC) (e.g., mothers with CPC: aHR = 2.38, 95% CI: 1.56-3.65 vs. no CPC: aHR = 9.55, 95% CI: 6.17-14.79).

CONCLUSIONS

After the death of a child, parental elevated risk of MDD was especially prominent for the women and those without prior medical condition. Effective strategies addressing bereavement may require family-based, integrated physical and mental healthcare and even extended counseling service.

Exploring real-world evidence to uncover unknown drug benefits and support the discovery of new treatment targets for depressive and bipolar disorders

BACKGROUND

Major depressive and bipolar disorders are associated with impaired quality of life and high economic burden. Although progress has been made in our understanding of the underlying pathophysiology and the development of novel pharmacological treatments, a large unmet need remains for finding effective treatment options. The purpose of this study was to identify potential new mechanisms of actions or treatment targets that could inform future research and development opportunities for major depressive and bipolar disorders.

METHODS

A self-controlled cohort study was conducted to examine associations between 1933 medications and incidence of major depressive and bipolar disorders across four US insurance claims databases. Presence of incident depressive or bipolar disorders were captured for each patient prior to or after drug exposure and incident rate ratios were calculated. Medications that demonstrated ≥50% reduction in risk for both depressive and bipolar disorders within two or more databases were evaluated as potential treatment targets.

RESULTS

Eight medications met our inclusion criteria, which fell into three treatment groups: drugs used in substance use disorders; drugs that affect the cholinergic system; and drugs used for the management of cardiovascular-related conditions.

LIMITATIONS

This study was not designed to confirm a causal association nor inform current clinical practice. Instead, this research and the methods employed intended to be hypothesis generating and help uncover potential treatment pathways that could warrant further investigation.

CONCLUSIONS

Several potential drug targets that could aid further research and discovery into novel treatments for depressive and bipolar disorders were identified.

Development and Validation of a Model to Identify Alzheimer's Disease and Related Syndromes in Administrative Data

BACKGROUND

Administrative data are used in the field of Alzheimer's Disease and Related Syndromes (ADRS), however their performance to identify ADRS is unknown.

OBJECTIVE

i) To develop and validate a model to identify ADRS prevalent cases in French administrative data (SNDS), ii) to identify factors associated with false negatives.

METHODS

Retrospective cohort of subjects ≥ 65 years, living in South-Western France, who attended a memory clinic between April and December 2013. Gold standard for ADRS diagnosis was the memory clinic specialized diagnosis. Memory clinics' data were matched to administrative data (drug reimbursements, diagnoses during hospitalizations, registration with costly chronic conditions). Prediction models were developed for 1-year and 3-year periods of administrative data using multivariable logistic regression models. Overall model performance, discrimination, and calibration were estimated and corrected for optimism by resampling. Youden index was used to define ADRS positivity and to estimate sensitivity, specificity, positive predictive and negative probabilities. Factors associated with false negatives were identified using multivariable logistic regressions.

RESULTS

3360 subjects were studied, 52% diagnosed with ADRS by memory clinics. Prediction model based on age, all-cause hospitalization, registration with ADRS as a chronic condition, number of anti-dementia drugs, mention of ADRS during hospitalizations had good discriminative performance (c-statistic: 0.814, sensitivity: 76.0%, specificity: 74.2% for 2013 data). 419 false negatives (24.0%) were younger, had more often ADRS types other than Alzheimer's disease, moderate forms of ADRS, recent diagnosis, and suffered from other comorbidities than true positives.

CONCLUSION

Administrative data presented acceptable performance for detecting ADRS. External validation studies should be encouraged.

Depression, Anxiety, and Self-Directed Violence in Women With Endometriosis: A Retrospective Matched-Cohort Study

The purpose of this study was to compare the incidence of mental health outcomes in women in the United States with and without documented endometriosis. In a retrospective matched-cohort study using administrative health claims data from Optum's Clinformatics DataMart from May 1, 2000, through March 31, 2019, women aged 18-50 years with endometriosis (n = 72,677), identified by International Classification of Disease diagnosis codes (revisions 9 or 10), were matched 1:2 on age and calendar time to women without endometriosis (n = 147,251), with a median follow-up of 529 days (interquartile range, 195, 1,164). The rate per 1,000 person-years of anxiety, depression, and self-directed violence among women with endometriosis was 57.1, 47.7, and 0.9, respectively. Comparing women with endometriosis to those without, the adjusted hazard ratios and 95% confidence intervals were 1.38 (1.34, 1.42) for anxiety, 1.48 (1.44, 1.53) for depression, and 2.03 (1.60, 2.58) for self-directed violence. The association with depression was stronger among women younger than 35 years (P for heterogeneity < 0.01). Risk factors for incident depression, anxiety, and self-directed violence among women with endometriosis included endometriosis-related pain symptoms and prevalence of other chronic conditions associated with pain. The identification of risk factors for mental health conditions among women with endometriosis may improve patient-centered disease management.

Depression treatment in Germany - using claims data to compare a collaborative mental health care program to the general practitioner program and usual care in terms of guideline adherence and need-oriented access to psychotherapy

BACKGROUND

Societies strive for fast-delivered, evidence-based and need-oriented depression treatment within budget constraints. To explore potential improvements, selective contracts can be implemented. Here, we evaluate if the German collaborative psychiatry-neurology-psychotherapy contract (PNP), which extends the gatekeeping-based general practitioner (GP) program, improved guideline adherence or need-oriented and timely access to psychotherapy compared to usual care (UC).

METHODS

We conducted a retrospective observational cohort study based on health insurance claims data. After we identified patients with depression who were on sick leave due to a mental disorder in 2015, we applied entropy balancing to adjust for selection effects and employed chi-squared tests to compare guideline adherence of the received treatment between PNP, the GP program and UC. Subsequently, we applied an extended cox regression to assess need-orientation by comparing the relationship between accumulated sick leave days and waiting times for psychotherapy across health plans.

RESULTS

N = 23,245 patients were included. Regarding guideline adherence, we found no significant differences for most severity subgroups; except that patients with a first moderate depressive episode received antidepressants or psychotherapy more often in UC. Regarding need-orientation, we observed that the effect of each additional month of sick leave on the likelihood of starting psychotherapy was increased by 6% in PNP compared to UC. Irrespective of the health plan, we found that within the first 12 months only between 24.3 and 39.7% (depending on depression severity) received at least 10 psychotherapy sessions or adequate pharmacotherapy.

CONCLUSIONS

The PNP contract strengthens the relationship between sick leave days and the delay until the beginning of psychotherapy, which suggests improvements in terms of need-oriented access to care. However, we found no indication for increased guideline adherence and - independent of the health plan - a gap in sufficient utilization of adequate treatment options.

Validated methods for identifying individuals with obesity in health care administrative databases: A systematic review

BACKGROUND

Health care administrative databases are increasingly used for health studies and public health surveillance. Cases of individuals with obesity are selected using case-identification methods. However, the validity of these methods is fragmentary and particularly challenging for obesity case identification.

OBJECTIVE

The objectives of this systematic review are to (1) determine the case-identification methods used to identify individuals with obesity in health care administrative databases and (2) to summarize the validity of these case-identification methods when compared with a reference standard.

METHODS

A systematic literature search was conducted in six bibliographic databases for the period January 1980 to June 2019 for all studies evaluating obesity case-identification methods compared with a reference standard.

RESULTS

Seventeen articles met the inclusion criteria. International Classification of Diseases (ICD) codes were the only case-identification method utilized in selected articles. The performance of obesity-identification methods varied widely across studies, with positive predictive value ranging from 19% to 100% while sensitivity ranged from 3% to 92%. The sensitivity of these methods was usually low while the specificity was higher.

CONCLUSION

When obesity is reported in health care administrative databases, it is usually correctly reported; however, obesity tends to be highly underreported in databases. Therefore, case-identification methods to monitor the prevalence and incidence of obesity within health care administrative databases are not reliable. In contrast, the use of these methods remains relevant for the selection of individuals with obesity for cohort studies, particularly when identifying cohorts of individuals with severe obesity or cohorts where obesity is associated with comorbidities.

Geospatial patterns of comorbidity prevalence among people with osteoarthritis in Alberta Canada

BACKGROUND

Knowledge of geospatial pattern in comorbidities prevalence is critical to an understanding of the local health needs among people with osteoarthritis (OA). It provides valuable information for targeting optimal OA treatment and management at the local level. However, there is, at present, limited evidence about the geospatial pattern of comorbidity prevalence in Alberta, Canada.

METHODS

Five administrative health datasets were linked to identify OA cases and comorbidities using validated case definitions. We explored the geospatial pattern in comorbidity prevalence at two standard geographic areas levels defined by the Alberta Health Services: descriptive analysis at rural-urban continuum level; spatial analysis (global Moran's I, hot spot analysis, cluster and outlier analysis) at the local geographic area (LGA) level. We compared area-level indicators in comorbidities hotspots to those in the rest of Alberta (non-hotspots).

RESULTS

Among 359,638 OA cases in 2013, approximately 60% of people resided in Metro and Urban areas, compared to 2% in Rural Remote areas. All comorbidity groups exhibited statistically significant spatial autocorrelation (hypertension: Moran's I index 0.24, z score 4.61). Comorbidity hotspots, except depression, were located primarily in Rural and Rural Remote areas. Depression was more prevalent in Metro (Edmonton-Abbottsfield: 194 cases per 1000 population, 95%CI 192-195) and Urban LGAs (Lethbridge-North: 169, 95%CI 168-171) compared to Rural areas (Fox Creek: 65, 95%CI 63-68). Comorbidities hotspots included a higher percentage of First Nations or Inuit people. People with OA living in hotspots had lower socioeconomic status and less access to care compared to non-hotspots.

CONCLUSIONS

The findings highlight notable rural-urban disparities in comorbidities prevalence among people with OA in Alberta, Canada. Our study provides valuable evidence for policy and decision makers to design programs that ensure patients with OA receive optimal health management tailored to their local needs and a reduction in current OA health disparities.

Post-approval Safety Surveillance Study of Golimumab in the Treatment of Rheumatic Disease Using a United States Healthcare Claims Database

Background and Objective

Golimumab is a fully human anti-tumor necrosis factor monoclonal antibody approved for the treatment of rheumatoid arthritis (RA), psoriatic arthritis (PsA), and ankylosing spondylitis (AS). This study estimated rates of prespecified outcomes in patients with RA, PsA or AS initiating golimumab versus matched patients initiating non-biologic systemic (NBS) medications.

Methods

Patients enrolled in a US health plan with rheumatic disease who initiated a study medication were accrued between April 2009 and November 2014. Golimumab initiators were matched by propensity score to NBS initiators in a 1:4 ratio. Outcomes were identified through September 2015. As-treated, as-matched, and nested case–control (NCC) analyses were conducted in the matched cohorts. Sensitivity analyses evaluated the impact of residual confounding and nondifferential misclassification of exposure and outcomes.

Results

Risks of outcomes were similar between golimumab and NBS initiators. In the as-treated analysis, the rate ratio (RR) for depression was elevated during current golimumab use versus golimumab non-use in the NBS cohort [RR 1.45, 95% confidence interval (CI) 1.31–1.61]. This finding was not replicated in as-matched (RR 1.08, 95% CI 0.97–1.19) or NCC (odds ratio 1.01, 95% CI 0.78–1.31) analyses, which focused on incident cases. Sensitivity analyses suggest that depression was sensitive to misclassification, and the RR changed from greater than to less than one across a plausible range of specificity.

Conclusions

This study suggests that there is no association between exposure to golimumab and an increased risk of prespecified outcomes. Increased depression risk in the as-treated analysis was not replicated in other analyses and may be associated with residual imbalance in baseline history or severity of depression.

Electronic supplementary material

The online version of this article (10.1007/s40261-020-00959-7) contains supplementary material, which is available to authorized users.

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

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

The influence of antidepressant and psychotherapy treatment adherence on future work leaves for patients with major depressive disorder

BACKGROUND

Depression is the greatest contributor to worldwide disability. The purpose of this study was to understand the influence of antidepressant and psychotherapy treatment adherence on future work leaves for patients with major depressive disorder.

METHODS

Patients with a newly diagnosed major depressive disorder (n = 26,256) were identified in IBM® Watson™ MarketScan® medical and disability claims databases. Antidepressant and psychotherapy adherence metrics were evaluated in the acute phase of treatment, defined as the 114 days following the depression diagnosis. Multiple variable Cox proportional hazards regression models evaluated the influence of antidepressant and/or psychotherapy adherence on future injury or illness work leaves.

RESULTS

The majority of work leaves in the 2-year follow-up period occurred in the acute phase of treatment (71.2%). Among patients without a work leave in the acute phase and who received antidepressants and/or psychotherapy (n = 19,994), those who were adherent to antidepressant or psychotherapy treatment in the acute phase had a 16% (HR = 0.84, 95% CI = 0.77-0.91) reduced risk of a future work leave compared to treatment non-adherent patients. Patients who were non-adherent or adherent to antidepressant treatment had a 22% (HR = 1.22, 95% CI = 1.11-1.35) and 13% (HR = 1.13, 95% CI = 1.01-1.27) greater risk of a future work leave, respectively, than patients not receiving antidepressant treatment. Conversely, patients who were non-adherent or adherent to psychotherapy treatment had a 9% (HR = 0.91, 95% CI = 0.81-1.02) and 28% (HR = 0.72, 95% CI = 0.64-0.82) reduced risk of a future work leave, respectively, than patients not receiving psychotherapy treatment.

CONCLUSIONS

This analysis suggests that treatment adherence may reduce the likelihood of a future work leave for patients with newly diagnosed major depressive disorder. Psychotherapy appears more effective than antidepressants in reducing the risk of a future work leave.

Trends in prevalence of depression in Germany between 2009 and 2017 based on nationwide ambulatory claims data

BACKGROUND

Studies based on health insurance funds unanimously indicate a rise in administrative prevalence of depression, while population surveys with standardized diagnostic procedures do not. We describe recent trends in the prevalence of depressive disorders as diagnosed in routine care from 2009-2017 in Germany.

METHODS

We used nationwide ambulatory claims data from all residents with statutory health insurance, covering 87% of the total population. Cases were defined as persons with at least one documented diagnosis of depression (ICD-10-GM codes: F32, F33 or F34.1). The administrative prevalence was computed for each year according to age, sex, degree of urbanization and severity of depression diagnosis.

RESULTS

The prevalence increased from 12.5% in 2009 to 15.7% in 2017 (+26%). Overall, women were twice as likely as men to receive a diagnosis, although the prevalence increased more strongly in men compared to women (+40% vs. +20%). Age- and sex-stratified analyses revealed the highest prevalence increase in adolescents and young men at the ages of 15-19 years (+95%) and 20-25 years (+72%). Rural areas with a low population density showed the highest rise in administrative prevalence (+34%), while big urban municipalities showed the lowest (+25%).

LIMITATIONS

Administrative claims data rely on diagnoses coded for billing purposes and thus depend on coding practice as well as patients' help seeking behavior.

CONCLUSIONS

Depressive disorders are of increasing importance in ambulatory health care in Germany. Parts of the increase may be attributed to changing cultural constructions of mental health along with the expansion of mental health care supply.

Using Inferred Mobility Status to Estimate the Time to Major Depressive Disorder Diagnosis Post-Spinal Cord Injury

OBJECTIVE

Estimate (1) prevalence of major depressive disorder (MDD) diagnosis; (2) risk factors associated with MDD diagnosis; (3) time at which MDD is diagnosed post-spinal cord injury (SCI); and (4) interaction of inferred mobility status (IMS) in a commercially insured population over 3 years.

DESIGN

Retrospective longitudinal cohort design.

SETTING

A commercial insurance claims database from January 1, 2010 to December 31, 2013.

PARTICIPANTS

Individuals with an index cervical or thoracic SCI in 2011 or 2012, without history of MDD ≤30 days pre-SCI (N=1409).

INTERVENTION

Not applicable.

MAIN OUTCOME MEASURES

Prevalence of, risk factors associated with, and time to MDD diagnosis post-SCI. A stratified survival analysis using IMS, based upon durable medical equipment (DME) claims, was also completed.

RESULTS

Post-SCI, 294 out of 1409 (20.87%) were diagnosed with new-onset MDD. Significant (P<.05) risk factors included: employment, length of index hospitalization, discharge from index hospitalization with healthcare services, rehabilitation services post-SCI, and 2 of 5 IMS comparisons. Median time to MDD was 86 days. Survival analysis demonstrated a significant difference between 6 of 10 IMS comparisons. Regarding new-onset or recurring MDD, 432 out of 1409 (30.66%) were diagnosed post-SCI. Significant risk factors included: female, employment, length of index hospitalization, discharge from index hospitalization with healthcare services, rehabilitation services post-SCI, MDD>30 days pre-SCI, catheter claims, and 2 of 5 IMS comparisons. Median time to MDD was 74 days. Survival analysis demonstrated a significant difference between 4 of 10 IMS comparisons.

CONCLUSIONS

Prevalence of MDD post-SCI is greater than the general population. Stratification by IMS illustrated that individuals with greater inferred reliance on DME are at a greater risk for MDD and have shorter time to MDD diagnosis post-SCI.

Community prescribing of potentially nephrotoxic drugs and risk of acute kidney injury requiring renal replacement therapy in critically ill adults: A national cohort study

Background

Acute kidney injury demonstrates a high incidence in critically ill populations, with many requiring renal replacement therapy. Patients may be at increased risk of acute kidney injury if prescribed certain potentially nephrotoxic medications. We aimed to evaluate this association in ICU survivors.

Methods

Study design - secondary analysis of national cohort of ICU survivors to hospital discharge linked to Scottish healthcare datasets. Outcomes: primary - renal replacement therapy in ICU; secondary - early acute kidney injury (calculated using urine output and relative change from estimated baseline serum creatinine within first 24 h of ICU admission using modified-RIFLE criteria). Primary exposure: pre-admission community prescribing of at least one potential nephrotoxin: angiotensin-converting-enzyme inhibitors/angiotensin-receptor blockers, diuretics or nonsteroidal anti-inflammatory drugs. Statistical analyses: unadjusted associations - univariable logistic regression; confounder adjusted: multivariable logistic regression.

Results

During 2011-2013, 12,838 of 23,116 patients (55.5%) were prescribed at least one community prescription of at least one nephrotoxin; 1330 (5.8%) patients received renal replacement therapy; 3061 (15.7%) had acute kidney injury. Patients exposed to at least one examined nephrotoxin experienced higher incidence of renal replacement therapy (6.8% vs 4.5%; adjOR 1.46, 95%CI 1.24, 1.72, p < 0.001) and acute kidney injury (19.8% vs 10.9%; adjOR 1.61, 1.44, 1.80, p < 0.001). Increased risk of RRT was also found for angiotensin-converting-enzyme inhibitors/angiotensin-receptor blockers (adjOR 1.65, 1.40, 1.94), non-steroidal anti-inflammatory drugs (adjOR 1.12, 1.02, 1.44) and diuretics (adjOR 1.35, 1.14, 1.59).

Conclusions

Community prescribing of potential nephrotoxins increases the risk of renal replacement therapy/early acute kidney injury in ICU populations. Analyses were limited by the survivor dataset and potential residual confounding. Findings add consistency to previous research improving understanding of the harmful potential of these important medications and their timely cessation in acute illness.

Association of Expanded Medicaid Coverage With Health and Job-Related Outcomes Among Enrollees With Behavioral Health Disorders

OBJECTIVES

The study objective was to assess the impact of Medicaid expansion on health and employment outcomes among enrollees with and without a behavioral health disorder (either a mental or substance use disorder).

METHODS

Between January and October 2016, the authors conducted a telephone survey of 4,090 enrollees in the Michigan Medicaid expansion program and identified 2,040 respondents (48.3%) with potential behavioral health diagnoses using claims-based diagnoses.

RESULTS

Enrollees with behavioral health diagnoses were less likely than enrollees without behavioral health diagnoses to be employed but significantly more likely to report improvements in health and ability to do a better job at work. In adjusted analyses, both enrollees with behavioral health diagnoses and those without behavioral health diagnoses who reported improved health were more likely than enrollees without improved health to report that Medicaid expansion coverage helped them do a better job at work and made them better able to look for a job. Among enrollees with improved health, those with a behavioral health diagnosis were as likely as those without a behavioral health diagnosis to report improved ability to work and improved job seeking after Medicaid expansion.

CONCLUSIONS

Coverage interruptions for enrollees with behavioral health diagnoses should be minimized to maintain favorable health and employment outcomes.

Increased rates of adverse perinatal outcomes in women with gestational diabetes and depression

Objective: We sought to examine the impact of depression on adverse perinatal outcomes in women with Gestational Diabetes Mellitus (GDM).Methods: We performed a retrospective cohort study comparing the rates of perinatal complications among singleton, nonanomalous births to women with GDM and the diagnosis of depression compared to GDM women without depression between 2007 and 2011 in California. Perinatal outcomes were analyzed using chi-square and multivariable logistic regression to compare frequencies of characteristics and outcomes and to determine the strength of association of depression and adverse perinatal outcomes among women with GDM. Statistical comparisons with a p-value of less than .05 and 95% CI that did not cross the null were considered statistically significant.Results: Among the cohort of 170,572 women with GDM, 2090 (1.22%) were diagnosed with antenatal depression. Women with GDM and depression had significantly higher rates of preeclampsia (adjusted Odds Ratio [aOR] 1.28, 95% CI 1.11-1.49) and gestational hypertension (aOR 1.23, 95% CI 1.05-1.44). Women with GDM and depression also had higher rates of preterm delivery at <37, and <34 weeks gestational age (aOR 1.33, 95% CI 1.18-1.50 and 1.36, 95% CI 1.15-1.61, respectively).Conclusion: Women with GDM and a diagnosis of depression have higher rates of adverse perinatal outcomes than women with GDM alone. Identifying and managing depression among women with GDM has the potential to improve the care and health of this high-risk population.

Existing comorbidities in people with osteoarthritis: a retrospective analysis of a population-based cohort in Alberta, Canada

OBJECTIVES

The purpose of this study is to estimate the prevalence of comorbidities among people with osteoarthritis (OA) using administrative health data.

DESIGN

Retrospective cohort analysis.

SETTING

All residents in the province of Alberta, Canada registered with the Alberta Health Care Insurance Plan population registry.

PARTICIPANTS

497 362 people with OA as defined by 'having at least one OA-related hospitalization, or at least two OA-related physician visits or two ambulatory care visits within two years'.

PRIMARY OUTCOME MEASURES

We selected eight comorbidities based on literature review, clinical consultation and the availability of validated case definitions to estimate their frequencies at the time of diagnosis of OA. Sex-stratified age-standardised prevalence rates per 1000 population of eight clinically relevant comorbidities were calculated using direct standardisation with 95% CIs. We applied χ² tests of independence with a Bonferroni correction to compare the percentage of comorbid conditions in each age group.

RESULTS

54.6% (n=2 71 794) of people meeting the OA case definition had at least one of the eight selected comorbidities. Females had a significantly higher rate of comorbidities compared with males (standardised rates ratio=1.26, 95% CI 1.25 to 1.28). Depression, chronic obstructive pulmonary disease (COPD) and hypertension were the most prevalent in both females and males after age-standardisation, with 40% of all cases having any combination of these comorbidities. We observed a significant difference in the percentage of comorbidities among age groups, illustrated by the youngest age group (<45 years) having the highest percentage of cases with depression (24.6%), compared with a frequency of 16.1% in those >65 years.

CONCLUSIONS

Our findings highlight the high frequency of comorbidity in people with OA, with depression having the highest age-standardised prevalence rate. Comorbidities differentially affect females, and vary by age. These factors should inform healthcare programme and delivery.

Association of voice and mental health diagnoses with differences in voice-related care utilization

OBJECTIVE

To compare healthcare utilization in voice patients with versus without mental health (MH) diagnoses STUDY DESIGN: Retrospective study using electronic medical records from large regional healthcare system.

METHODS

We examined data on sociodemographic characteristics, comorbidities, voice-related diagnoses, and patterns of healthcare utilization (including medication use, tests and procedures, and outpatient visits). The study period spanned January 2005 through June 2017.

RESULTS

A total of 24,672 patients had at least one voice-related diagnosis. Of these, 11,483 (47%) also had at least one MH diagnosis compared to 14% in the overall repository (P < 0.0001). The most common voice-related diagnoses were nonspecific dysphonia (80%), acute laryngitis (30%), and vocal fold paresis/paralysis (7%). The 11,483 patients with both voice-related and MH diagnoses were more likely to have acute laryngitis and/or nonspecific dysphonia; less likely to have laryngeal cancer and/or paresis/paralysis; and more likely to have seen a primary care provider, to have received medications, and to have undergone radiology studies. In contrast, the 13,189 patients with only voice-related diagnoses had more overall voice-related visits, were more likely to have seen an otolaryngologist, and were more likely to have undergone a voice evaluation with a speech language pathologist.

CONCLUSION

Voice patients with MH diagnoses were less likely to see otolaryngology and more likely to have radiology studies than voice patients without MH diagnoses. Further study is warranted to characterize temporal sequences of care in this group of patients and determine whether these differences are attributable to referral patterns from primary care.

LEVEL OF EVIDENCE

4 Laryngoscope, 130:1496-1502, 2020.

Defining Depression and Anxiety in Individuals With Rheumatic Diseases Using Administrative Health Databases: A Systematic Review

OBJECTIVE

To conduct a systematic review to describe how administrative health databases have been used to study depression and anxiety in patients with rheumatic diseases and to synthesize the case definitions that have been applied.

METHODS

Search strategies to identify articles evaluating depression and anxiety among individuals with rheumatic diseases were employed in Medline, Embase, CINAHL, Cochrane Database of Systematic Reviews, and PsycINFO. Studies included were those using administrative health data and reporting case definitions for depression and anxiety using International Classification of Diseases (ICD) codes. We extracted information on study design and objectives, administrative health database, specific data sources (e.g., inpatient, pharmacy records), ICD codes, operational definitions, and validity of case definitions.

RESULTS

Of the 36 studies included in this review, all studies assessed depression, and 13 studies (36.1%) evaluated anxiety. A number of specific ICD-9/10 codes were consistently applied to identify depression and anxiety, but the overall combination of ICD codes and operational definitions varied across studies. Twenty-four studies reported operational definitions, and 19 of these studies (79.2%) combined claims from more than 1 type of administrative data source (e.g., inpatient, outpatient). Validated case definitions were used by 6 studies (16.7%), with sensitivity estimates for depression and anxiety case definitions ranging from 33% to 74% and 42% to 76%, respectively.

CONCLUSION

We identified numerous case definitions used to evaluate depression and anxiety among individuals with rheumatic diseases within administrative health databases. Recommendations include using case definitions with demonstrated validity as well as operationalizing case definitions within multiple data sources.

A Primer for Managed Care Residents: How to Conduct Research Using Live Medical and Pharmacy Claims Data

Managed care organizations are growing more sophisticated in their ability to analyze data. There are increasing numbers of data analysts at managed care organizations, as well as more types of real-time, or "live," data available. These data range from pharmacy claims and enrollment files to medical claims, medical records, and linkages to external data. Moreover, the data are often curated in a way that allows for easier data analysis. Using these data, managed care residents are often required to perform a project to evaluate a utilization management policy or clinical program. Yet, there is a lack of guidance specific to managed care organizations on how to conduct such a research study using "live" claims data. This Viewpoint article provides a primer for managed care residents and other managed care professionals who are seeking to use data to help inform decisions on how to manage their beneficiaries' health and costs. DISCLOSURES: There was no funding source for this manuscript. Hung reports a grant from the Agency for Healthcare Research and Quality and personal fees from Blue Cross Blue Shield Association, outside the submitted work. Gedey, Groeneweg, and Jay have nothing to disclose.

Challenges and Opportunities for Using Big Health Care Data to Advance Medical Science and Public Health

Methodological advancements in epidemiology, biostatistics, and data science have strengthened the research world's ability to use data captured from electronic health records (EHRs) to address pressing medical questions, but gaps remain. We describe methods investments that are needed to curate EHR data toward research quality and to integrate complementary data sources when EHR data alone are insufficient for research goals. We highlight new methods and directions for improving the integrity of medical evidence generated from pragmatic trials, observational studies, and predictive modeling. We also discuss needed methods contributions to further ease data sharing across multisite EHR data networks. Throughout, we identify opportunities for training and for bolstering collaboration among subject matter experts, methodologists, practicing clinicians, and health system leaders to help ensure that methods problems are identified and resulting advances are translated into mainstream research practice more quickly.

Rates and Determinants of Use of Pharmacotherapy and Psychotherapy by Patients With Major Depressive Disorder

OBJECTIVE

Rates and determinants of pharmacological and psychotherapy use were assessed after a major depressive disorder diagnosis.

METHODS

In a retrospective claims study that included 2007-2016 records from the IBM MarketScan research databases, use of pharmacotherapy and psychotherapy was tracked in a population of 24,579 patients with a diagnosis of major depressive disorder. Univariate and multiple variable analyses were used to identify determinants of antidepressant adherence (proportion of days covered ≥.8) and intensive psychotherapy at the beginning of treatment (at least four psychotherapy visits in the first 4 weeks after initiating psychotherapy).

RESULTS

In the 12 months following a diagnosis of major depressive disorder, most individuals received pharmacotherapy or psychotherapy (94.7%), and unimodal therapy was more common (58.5%) than bimodal therapy (36.2%). When antidepressants were initiated (N=13,524), 41.7% and 32.0% of patients were adherent in the acute and continuation phases, respectively. Initial antidepressant dosages were outside guideline recommendations for 34.5% of patients prescribed these medications. When psychotherapy was initiated, the median number of visits in the year after a patient's diagnosis was seven. Most patients (54.7%) did not continue to receive either antidepressant or psychotherapy treatment after month 5 following their diagnosis. A shorter time from diagnosis to treatment and a lower percentage of treatment costs paid by the patient were associated with increased antidepressant adherence and intensive psychotherapy use.

CONCLUSIONS

Findings indicate that treatment guideline recommendations are not followed for a large proportion of patients with major depressive disorder and that improvement is needed in multiple areas to enhance effective treatment.

Risk factors for developing depression in women with cervical cancer: a nationwide population-based study in Taiwan

Introduction

Depression might affect women with cervical cancer and can deteriorate their quality of life or even their compliance with cancer treatments. The aim of this study was to investigate the incidence of depression and risk factors for developing depression among women with cervical cancer in Taiwan.

Patients and methods

This study enrolled patients with newly diagnosed cervical cancer from the National Health Insurance Research Database in Taiwan. From a population of 21,400,826 residents, each cervical cancer patient was matched with one subject without cervical cancer according to sex, age, and comorbidities with the same diagnostic index. The International Classification of Diseases, Ninth Revision, code 180.9 was used to identify patients with cervical cancer, and 296.0X–296.1X, 296.4X–296.8X, 296.2X–296.3X, 300.4, and 311.X codes were used to identify those with depressive disorders.

Results

In total, 19,316 newly diagnosed cervical cancer patients were enrolled from January 2000 to December 2005, and the median follow-up period was 5.23 years (1.75–8.48 years). The prevalence of depressive disorder was 4.21% (813 of 19,316) in the cervical cancer cohort, and it was 3.85% (744 of 19,316) in the control cohort. The incidence risk ratio of depressive disorders was 1.35 (95% CI =1.22–1.49, P<0.001) among these cervical cancer patients. Cervical cancer, as an independent risk factor, was associated with developing subsequent depressive disorder. In addition, being older (≥65 years old) and the comorbidities of diabetes mellitus, ischemic heart disease, and cerebrovascular disease were also risk factors for predicting depressive disorder in cervical cancer patients.

Discussion

Cervical cancer is a prominent risk factor for the development of depression in women with cervical cancer in Taiwan. The patients with comorbidities, including diabetes mellitus, ischemic heart disease, and cerebrovascular disease, have higher risks of developing depression. However, there were no significant differences among the cervical cancer treatment modalities. In conclusion, these patients require early psychological support and intervention.

Predictive model algorithms identifying early and advanced stage ER+/HER2- breast cancer in claims data

PURPOSE

Claims databases offer large populations for research, but lack clinical details. We aimed to develop predictive models to identify estrogen receptor positive (ER+) and human epidermal growth factor negative (HER2-) early breast cancer (ESBC) and advanced stage breast cancer (ASBC) in a claims database.

METHODS

Female breast cancer cases in Anthem's Cancer Care Quality Program served as the gold standard validation sample. Predictive models were developed from clinical knowledge and empirically from claims data using logistic and lasso regression. Model performance was assessed by classification rates and c-statistics. Models were applied to the HealthCore Integrated Research Database (claims) to identify cohorts of women with ER+/HER2- ESBC and ASBC.

RESULTS

The validation sample included 3184 women with ER+/HER2- ESBC and 1436 with ER+/HER2- ASBC. Predictive models for ER+/HER2- ESBC and ASBC included 25 and 20 factors, respectively. Models had robust discrimination in identifying cases (c-stat = 0.92 for ESBC and 0.95 for ASBC). Compared with a traditional a priori algorithm developed with clinical insight alone, the ER+/HER2- ASBC-predictive model had better positive predictive value (PPV) (0.91, 95% CI, 0.90-0.93, vs 0.69, 95% CI, 0.66-0.73) and sensitivity (0.54 vs 0.35). Models were applied to the claims database to identify cohorts of 33 001 and 3198 women with ER+/HER2- ESBC and ASBC.

CONCLUSION

We conducted a validation study and developed predictive models to identify in a claims database cohorts of women with ER+/HER2- ESBC and ASBC. The models identified large cohorts in the claims data that can be used to characterize indications in the evaluation of targeted therapies.

Association networks in a matched case-control design - Co-occurrence patterns of preexisting chronic medical conditions in patients with major depression versus their matched controls

OBJECTIVE

We present a method for comparing association networks in a matched case-control design, which provides a high-level comparison of co-occurrence patterns of features after adjusting for confounding factors. We demonstrate this approach by examining the differential distribution of chronic medical conditions in patients with major depressive disorder (MDD) compared to the distribution of these conditions in their matched controls.

MATERIALS AND METHODS

Newly diagnosed MDD patients were matched to controls based on their demographic characteristics, socioeconomic status, place of residence, and healthcare service utilization in the Korean National Health Insurance Service's National Sample Cohort. Differences in the networks of chronic medical conditions in newly diagnosed MDD cases treated with antidepressants, and their matched controls, were prioritized with a permutation test accounting for the false discovery rate. Sensitivity analyses for the associations between prioritized pairs of chronic medical conditions and new MDD diagnosis were performed with regression modeling.

RESULTS

By comparing the association networks of chronic medical conditions in newly diagnosed depression patients and their matched controls, five pairs of such conditions were prioritized among 105 possible pairs after controlling the false discovery rate at 5%. In sensitivity analyses using regression modeling, four out of the five prioritized pairs were statistically significant for the interaction terms.

CONCLUSION

Association networks in a matched case-control design can provide a high-level comparison of comorbid features after adjusting for confounding factors, thereby supplementing traditional clinical study approaches. We demonstrate the differential co-occurrence pattern of chronic medical conditions in patients with MDD and prioritize the chronic conditions that have statistically significant interactions in regression models for depression.

Comparative risk of lipophilic and hydrophilic statins on incident depression: A retrospective cohort study

OBJECTIVES

To evaluate the risk of new-onset depression in a cohort of US adult patients initiating lipophilic statin therapy compared to hydrophilic statin therapy.

DESIGN

Retrospective cohort study.

SETTING

Large US commercial claims database PARTICIPANTS: 1:1 propensity score matched cohort of lipophilic (atorvastatin, lovastatin and simvastatin) and hydrophilic (pravastatin and rosuvastatin) statin initiators between January 2009 to June 2015.

OUTCOME

New onset of depression.

RESULTS

In a propensity-score matched cohort of 299,298 statin initiators, the crude incidence of depression in the hydrophilic and lipophilic group was 136.6 and 142.8 per 10,000 person-years respectively. Compared to hydrophilic statin use, lipophilic statin use was not associated with a statistically significant increase in the risk of depression, adjusted HR 1.05 (95% CI, 1.00-1.10, p = 0.078) and excess incidence of 6.3 (95% CI, -0.7-13.7) per 10,000 person-years. Findings were consistent across the subgroups of patients with history of psychiatric conditions HR 1.05 (95% CI, 0.94-1.16, p = 0.41), and those initiating statins for primary or secondary prevention, HR 1.03 (95% CI, 0.97-1.10, p = 0.33) and 1.07 (95% CI, 0.99-1.16, p = 0.10) respectively. Within individual lipophilic statins, only simvastatin was associated with a moderate increase in the risk of depression HR 1.09 (95% CI, 1.02-1.16, p = 0.003), followed by lovastatin HR 1.07 (95% CI, 0.93-1.24, p = 0.34) and atorvastatin HR 1.05 (95% CI, 0.97-1.13, p = 0.27).

LIMITATIONS

Findings are generalizable to patients with commercial insurance.

CONCLUSIONS

Lipophilic statin use was not associated with a significant increase in the risk of incident depression.

Depressive disorders among patients with gastric cancer in Taiwan: a nationwide population-based study

BACKGROUND

In cancer patients, depressive disorder comorbidity is associated with greater suicide risk and poorer treatment outcomes, quality of life, and adherence to treatment. The aim of the study was to evaluate the incidence of newly-diagnosed depressive disorders after a gastric cancer diagnosis compared with a matched cohort using the National Health Insurance Research Database in Taiwan.

METHODS

We conducted a retrospective cohort study of 57,506 patients (28,753 patients with gastric cancer and 28,753 matched patients) selected from the National Health Insurance Research Database. Patients were observed for a maximum of 12 years to determine the incidence of newly-diagnosed depressive disorders. Also, a Cox regression analysis which included death as an independent censor was performed to identify the potentially predictive variables for developing subsequent depressive disorders following a cancer diagnosis among the patients suffering from gastric cancer.

RESULTS

The cumulative incidence of depressive disorders in the gastric cancer patients was significantly higher compared to those in the matched cohort (p < .001). The adjusted hazard ratio was 1.54 (95% confidence interval, CI = 1.39-1.70, P < .001) in the gastric cancer cohort compared with the matched cohort. Independent predictive variables for developing subsequent depressive disorders among the patients with gastric cancer included female sex and hypertension.

CONCLUSIONS

In the study, higher incidence of new-onset depression, being defined by the records of the diagnostic codes combining antidepressants use in a nationwide database, was noted in the gastric cancer patients compared with the matched cohort. In addition, female sex and comorbid hypertension may be predictive variables for the subsequent depression among the patients with gastric cancer. Further clinical prospective studies were necessary to confirm these findings.

Anxiety and depression are associated with long-term outcomes of hepatocellular carcinoma: A nationwide study of a cohort from Taiwan

OBJECTIVES

A natural experimental design was coupled with propensity score matching to assess the risks of anxiety and depression and to assess the longitudinal effects of anxiety and depression on healthcare utilisation and mortality in hepatocellular carcinoma (HCC) patients.

METHODS

This nationwide population-based cohort study retrospectively analysed 7304 patients treated for HCC during 1996-2010. Generalised estimating equations were used to estimate differences-in-differences models for examining the effects of anxiety and depression disorders.

RESULTS

Independent risk factors for anxiety and depression in the HCC patients were female gender (hazard ratio (HR) 1.45; P < 0.001), Charlson co-morbidity index score (HR 1.12; P = 0.005), and liver cirrhosis (HR 1.35; P = 0.004). Anxiety and depression (differences-in-differences value) had a significant (P < 0.001) positive net effect on number of physician visits. Furthermore, the mean overall survival time was 83.4 months (SD 5.4 months) in the anxiety/depression group and 65.4 months (SD 4.8 months) in the non-disorder group. Additionally, the overall survival rate was significantly higher in the anxiety/depression group compared to the non-disorder group during the study period (P = 0.003).

CONCLUSIONS

Anxiety disorders and depression disorders are associated with a significantly increased overall survival rate in HCC patients. However, further studies are needed to investigate this association.

Timing and risk of mood disorders requiring psychotropics in long-term survivors of adult cancers: A nationwide cohort study

BACKGROUND

The increasing number of long-term cancer survivors over the past few decades poses the challenge of mental health care needs. However, little is known about risks of mood disorders in long-term cancer survivors.

METHODS

Long-term survivors (≥5 years) of adult cancers (LSAC) (n = 190,748) newly diagnosed between January 1, 2000 and December 31, 2007 were matched with one control. The primary outcome was diagnosis of mood disorders requiring psychotropics. Cumulative incidences and sub-hazard ratios (SHR) were calculated and multivariate analyses were conducted after accounting for mortality.

RESULTS

The mood disorder risk was significantly higher in the LSAC cohort than in the control cohort (adjusted SHR = 1.16, 95% confidence interval [CI] = 1.13-1.18, P < 0.001). Patients with certain cancer types were at increased risk, particularly in the first 2 years after diagnosis. However, patients with head and neck cancers or esophageal cancers had a higher risk after the 5-year follow-up period. Multivariate analysis indicated that being female, aged 40-59 years, with more than two primary cancers, receiving two or more treatment modalities, having CCI scores higher than 3, a higher urbanization level, and lower monthly income were independently associated with an increased risk of mood disorders.

LIMITATIONS

Some potential confounders such as lifestyle factors were not available in the study.

CONCLUSION

These findings call for increased mental health awareness not only in the early years after the cancer diagnosis, but also during long-term follow-up for certain cancer subtypes.

Longterm persistence and nonrecurrence of depression treatment in Germany: a four-year retrospective follow-up using linked claims data

OBJECTIVES

To measure persistence and nonrecurrence of depression treatment and investigate potential risk factors.

METHODS

We retrospectively observed a closed cohort of insurees with new-onset depression treatment in 2007 and without most psychiatric comorbidity for 16 quarters (plus one to ascertain discontinuation). We linked inpatient/outpatient/drug-data per person and quarter. Person-quarters containing specified depression services were classified as depression-treatment-person-quarters (DTPQ). We defined longterm-DTPQ-persistence as 16 + 1 continuous DTPQ and longterm-DTPQ-nonrecurrence as 12 continuous quarters without DTPQ and used multivariate logistic regression to explore associations with these outcomes.

RESULTS

Within first 16 quarters, 28,348 patients' first period (total time) persisted for a mean/median 5.4/3 (8.7/8) quarters. Fourteen percent had longterm-DTPQ-persistence, associated (p < .05) with baseline hospital (odds ratio, OR = 1.80), psychotherapy/specialist-interview and antidepressants (OR = 1.81), age (years, OR = 1.03), unemployment (OR = 1.21), retirement (OR = 1.31), and insured as a dependent (OR = 1.32). Thirty-four percent had longterm-DTPQ-nonrecurrence, associated with psychotherapy/specialist-interview (OR = 1.40), antidepressants (OR = 0.54), female sex (OR = 0.84), age (years, OR = 0.99), retirement (OR = 1.18), and insured as a dependent (OR = 0.88). Women differed for episodic and not chronic treatment.

CONCLUSION

Treatment measures compared to survey's symptoms measures. We suggest further research on "treatment-free-time." Antidepressants(-) and psychotherapy/specialist-interview(+) were significantly associated with longterm-DTPQ-nonrecurrence. This was presumably moderated by possible short-time/low-dosage antidepressants use(-) and selective therapy assignment(+). Sample selectivity limited data misclassification.

Near Real-time Surveillance for Consequences of Health Policies Using Sequential Analysis

BACKGROUND

New health policies may have intended and unintended consequences. Active surveillance of population-level data may provide initial signals of policy effects for further rigorous evaluation soon after policy implementation.

OBJECTIVE

This study evaluated the utility of sequential analysis for prospectively assessing signals of health policy impacts. As a policy example, we studied the consequences of the widely publicized Food and Drug Administration's warnings cautioning that antidepressant use could increase suicidal risk in youth.

METHOD

This was a retrospective, longitudinal study, modeling prospective surveillance, using the maximized sequential probability ratio test. We used historical data (2000-2010) from 11 health systems in the US Mental Health Research Network. The study cohort included adolescents (ages 10-17 y) and young adults (ages 18-29 y), who were targeted by the warnings, and adults (ages 30-64 y) as a comparison group. Outcome measures were observed and expected events of 2 possible unintended policy outcomes: psychotropic drug poisonings (as a proxy for suicide attempts) and completed suicides.

RESULTS

We detected statistically significant (P<0.05) signals of excess risk for suicidal behavior in adolescents and young adults within 5-7 quarters of the warnings. The excess risk in psychotropic drug poisonings was consistent with results from a previous, more rigorous interrupted time series analysis but use of the maximized sequential probability ratio test method allows timely detection. While we also detected signals of increased risk of completed suicide in these younger age groups, on its own it should not be taken as conclusive evidence that the policy caused the signal. A statistical signal indicates the need for further scrutiny using rigorous quasi-experimental studies to investigate the possibility of a cause-and-effect relationship.

CONCLUSIONS

This was a proof-of-concept study. Prospective, periodic evaluation of administrative health care data using sequential analysis can provide timely population-based signals of effects of health policies. This method may be useful to use as new policies are introduced.