There is growing recognition that bipolar disorder (BPD) has a spectrum of expression that is substantially more common than the 1% BP-I prevalence traditionally found in population surveys.
Objective
To estimate the prevalence, correlates, and treatment patterns of bipolar spectrum disorder in the US population.
Design
Direct interviews.
Setting
Households in the continental United States.
Participants
A nationally representative sample of 9282 English-speaking adults (aged ≥18 years).
Main Outcome Measures
Version 3.0 of the World Health Organization's Composite International Diagnostic Interview, a fully structured lay-administered diagnostic interview, was used to assessDSM-IVlifetime and 12-month Axis I disorders. Subthreshold BPD was defined as recurrent hypomania without a major depressive episode or with fewer symptoms than required for threshold hypomania. Indicators of clinical severity included age at onset, chronicity, symptom severity, role impairment, comorbidity, and treatment.
Results
Lifetime (and 12-month) prevalence estimates are 1.0% (0.6%) for BP-I, 1.1% (0.8%) for BP-II, and 2.4% (1.4%) for subthreshold BPD. Most respondents with threshold and subthreshold BPD had lifetime comorbidity with other Axis I disorders, particularly anxiety disorders. Clinical severity and role impairment are greater for threshold than for subthreshold BPD and for BP-II than for BP-I episodes of major depression, but subthreshold cases still have moderate to severe clinical severity and role impairment. Although most people with BPD receive lifetime professional treatment for emotional problems, use of antimanic medication is uncommon, especially in general medical settings.
Conclusions
This study presents the first prevalence estimates of the BPD spectrum in a probability sample of the United States. Subthreshold BPD is common, clinically significant, and underdetected in treatment settings. Inappropriate treatment of BPD is a serious problem in the US population. Explicit criteria are needed to define subthreshold BPD for future clinical and research purposes.
Previous studies have assessed the incremental economic burden of treatment-resistant depression (TRD) versus non-treatment-resistant major depressive disorder (i.e., non-TRD MDD) in commercially-insured and Medicaid-insured patients, but none have focused on Medicare-insured patients.To assess healthcare resource utilization (HRU) and costs of patients with TRD versus non-TRD MDD or without major depressive disorder (MDD; i.e., non-MDD) in a Medicare-insured population.Adult patients were retrospectively identified from the Chronic Condition Warehouse de-identified 100% Medicare database (01/2010-12/2016). MDD was defined as ≥1 MDD diagnosis and ≥1 claim for an antidepressant. Patients initiated on a third antidepressant following two antidepressant treatment regimens of adequate dose and duration were considered to have TRD. The index date was defined as the date of the first antidepressant claim for the TRD and non-TRD MDD cohorts, and as a randomly imputed date for the non-MDD cohort. Patients with TRD were matched 1:1 to non-TRD MDD patients and randomly selected non-MDD patients based on propensity scores. Analyses were also performed for a subset of patients aged ≥65.Of 29,543 patients with MDD, 3,225 (10.9%) met the study definition of TRD; 157,611 were included in the non-MDD cohort. Matched patients with TRD and non-TRD MDD were, on average, 58.9 and 59.0 years old, respectively. The TRD cohort had higher per-patient-per-year (PPPY) HRU than the non-TRD MDD (e.g., inpatient visits: incidence rate ratio [IRR] = 1.36) and non-MDD cohorts (e.g., inpatient visits: IRR = 1.84, all P<0.001). The TRD cohort had significantly higher total PPPY healthcare costs than the non-TRD MDD cohort ($25,517 vs. $20,425, adjusted cost difference = $3,385) and non-MDD cohort ($25,517 vs. $14,542, adjusted cost difference = $4,015, all P<0.001). Similar results were found for the subset of patients ≥65.Among Medicare-insured patients, those with TRD had higher HRU and costs compared to those with non-TRD MDD and non-MDD.
Article AbstractBackground: The economic burden of depression was estimated to be $43.7 billion in 1990. A subsequent study reported a cost burden of $52.9 billion using revised prevalence data and a refined workplace cost estimation approach. The objective of the current report is to provide a 10-year update of these estimates using the same methodological framework. Method: Using a human capital approach, we developed prevalence-based estimates of 3 major cost categories: (1) direct costs, (2) mortality costs arising from depression-related suicides, and (3) costs associated with depression in the workplace. Cost-of-illness estimates from 1990 were updated to reflect the experience in 2000 using current epidemiologic data and publicly available population, wage, and cost information. Results: Whereas the treatment rate of depression increased by over 50%, its economic burden rose by only 7%, going from $77.4 billion in 1990 (inflation-adjusted dollars) to $83.1 billion in 2000. Of the 2000 total, $26.1 billion (31%) were direct medical costs, $5.4 billion (7%) were suicide-related mortality costs, and $51.5 billion (62%) were workplace costs. Conclusion: The economic burden of depression remained relatively stable between 1990 and 2000, despite a dramatic increase in the proportion of depression sufferers who received treatment. Future research will incorporate additional costs associated with depression sufferers, including the excess costs of their coexisting psychiatric and medical conditions and attention to the role of painful conditions as a driver of these costs. See our Focus Collection of J Clin Psychiatry articles on healthcare economics.†‹†‹†‹
Objective: To compare escitalopram versus citalopram for the treatment of major depressive disorder (MDD) in geriatric patients.Research design and methods: Administrative claims data (2003–2005) were analyzed for patients aged ≥ 65 years with at least one inpatient claim or two independent medical claims associated with MDD diagnosis. Patients were continuously enrolled for at least 12 months, filled at least one prescription for citalopram or escitalopram and had no second generation antidepressant use during the 6-month pre-index date. Contingency table analysis and survival analysis were used to compare outcomes between the two treatment groups.Main outcome measures: Treatment persistence, hospitalization utilization, and prescription drug, medical, and total healthcare costs were analyzed. Outcomes were compared between patients initiated on escitalopram and those initiated on citalopram both descriptively and using multivariate analysis adjusting for baseline characteristics.Results: Among 691 geriatric patients, escitalopram-treated patients (n = 459) were less likely to discontinue treatment (hazard ratio [HR] = 0.83, p = 0.049) or switch to another second generation antidepressant (HR = 0.62, p = 0.001) compared to patients treated with citalopram (n = 232). Patients treated with escitalopram had a significantly lower hospitalization rate (31.2% vs. 38.8%, p = 0.045) and 66% fewer hospitalization days based on negative binomial regression (p < 0.001). While escitalopram patients had comparable prescription drug costs, they had lower total medical service costs (regression: %9748 vs. %19 208, p < 0.001) and lower total healthcare costs (regression: %11 434 vs. %20 601, p < 0.001).Limitations: This study's limitations include its small sample size, short observational periods and exclusivity of indirect costs.Conclusions: Geriatric patients treated with escitalopram had better treatment persistence, fewer hospitalizations, and lower medical and total healthcare costs than patients treated with citalopram. Most of the cost reduction was attributable to significantly lower hospitalizations and total medical costs.
Although work performance has become an important outcome in cost-of-illness studies, little is known about the comparative effects of different commonly occurring chronic conditions on work impairment in general population samples. Such data are presented here from a large-scale nationally representative general population survey. The data are from the MacArthur Foundation Midlife Development in the United States (MIDUS) survey, a nationally representative telephone-mail survey of 3032 respondents in the age range of 25 to 74 years. The 2074 survey respondents in the age range of 25 to 54 years are the focus of the current report. The data collection included a chronic-conditions checklist and questions about how many days out of the past 30 each respondent was either totally unable to work or perform normal activities because of health problems (work-loss days) or had to cut back on these activities because of health problems (work-cutback days). Regression analysis was used to estimate the effects of conditions on work impairments, controlling for sociodemographics. At least one illness-related work-loss or work-cutback day in the past 30 days was reported by 22.4% of respondents, with a monthly average of 6.7 such days among those with any work impairment. This is equivalent to an annualized national estimate of over 2.5 billion work-impairment days in the age range of the sample. Cancer is associated with by far the highest reported prevalence of any impairment (66.2%) and the highest conditional number of impairment days in the past 30 (16.4 days). Other conditions associated with high odds of any impairment include ulcers, major depression, and panic disorder, whereas other conditions associated with a large conditional number of impairment days include heart disease and high blood pressure. Comorbidities involving combinations of arthritis, ulcers, mental disorders, and substance dependence are associated with higher impairments than expected on the basis of an additive model. The effects of conditions do not differ systematically across subsamples defined on the basis of age, sex, education, or employment status. The enormous magnitude of the work impairment associated with chronic conditions and the economic advantages of interventions for ill workers that reduce work impairments should be factored into employer cost-benefit calculations of expanding health insurance coverage. Given the enormous work impairment associated with cancer and the fact that the vast majority of employed people who are diagnosed with cancer stay in the workforce through at least part of their course of treatment, interventions aimed at reducing the workplace costs of this illness should be a priority.
Objectives This study estimates the costs to society of prescription opioid analgesic (RxO) abuse in the United States. Methods Costs associated with RxO abuse were grouped into healthcare, criminal justice, and workplace categories. Costs were estimated by either (1) a quantity method that multiplies the number of RxO abusers derived from various national surveys by the estimated per abuser cost, or (2) an apportionment method that starts with overall (ie, prescription and nonprescription) drug abuse costs for a cost component (eg, police protection) and apportions the share of costs based on the prevalence of RxO abuse relative to overall drug abuse. Medical costs in excess of those for otherwise similar nonabusers were based on an analysis of a large administrative claims database for an employed population using multivariate regression methods. Results A lower bound estimate of the costs of RxO abuse in the United States was $8.6 billion in 2001 (or $9.5 billion in 2005 dollars). Of this amount, $2.6 billion were healthcare costs, $1.4 billion were criminal justice costs, and $4.6 billion were workplace costs. Conclusions The costs of RxO abuse represent a substantial economic burden. Rising trends of RxO abuse suggest an escalating economic and public health burden in coming years in the United States, and potentially, elsewhere.
The incremental economic burden of US adults with major depressive disorder (MDD) was estimated at $US210.5 billion in 2010 (year 2012 values). Following a similar methodology, this study updates the previous findings with more recent data to report the economic burden of adults with MDD in 2018. This study used a framework for evaluating the incremental economic burden of adults with MDD in the USA that combined original and literature-based estimates, focusing on key changes between 2010 and 2018. The prevalence rates of MDD by sex, age, employment, and treatment status over time were estimated based on the National Survey on Drug Use and Health (NSDUH). The incremental direct and workplace costs per individual with MDD were primarily derived from administrative claims data and NSDUH data using comparative analyses of individuals with and without MDD. Societal direct and workplace costs were extrapolated by multiplying NSDUH estimates of the number of people with MDD by the direct and workplace cost estimates per patient. The suicide-related costs were estimated using a human capital method. The number of US adults with MDD increased by 12.9%, from 15.5 to 17.5 million, between 2010 and 2018, whereas the proportion of adults with MDD aged 18–34 years increased from 34.6 to 47.5%. Over this period, the incremental economic burden of adults with MDD increased by 37.9% from $US236.6 billion to 326.2 billion (year 2020 values). All components of the incremental economic burden increased (i.e., direct costs, suicide-related costs, and workplace costs), with the largest growth observed in workplace costs, at 73.2%. Consequently, the composition of 2018 costs changed meaningfully, with 35% attributable to direct costs (47% in 2010), 4% to suicide-related costs (5% in 2010), and 61% to workplace costs (48% in 2010). This increase in the workplace cost share was consistent with more favorable employment conditions for those with MDD. Finally, the proportion of total costs attributable to MDD itself as opposed to comorbid conditions remained stable at 37% (38% in 2010). Workplace costs accounted for the largest portion of the growing economic burden of MDD as this population trended younger and was increasingly likely to be employed. Although the total number of adults with MDD increased from 2010 to 2018, the incremental direct cost per individual declined. At the same time, the proportion of adults with MDD who received treatment remained stable over the past decade, suggesting that substantial unmet treatment needs remain in this population. Further research is warranted into the availability, composition, and quality of MDD treatment services.
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