Barriers to mental health treatment: results from the National Comorbidity Survey Replication.

BACKGROUND: The aim was to examine barriers to initiation and continuation of treatment among individuals with common mental disorders in the US general population. METHOD: Respondents in the National Comorbidity Survey Replication with common 12-month DSM-IV mood, anxiety, substance, impulse control and childhood disorders were asked about perceived need for treatment, structural barriers and attitudinal/evaluative barriers to initiation and continuation of treatment. RESULTS: Low perceived need was reported by 44.8% of respondents with a disorder who did not seek treatment. Desire to handle the problem on one's own was the most common reason among respondents with perceived need both for not seeking treatment (72.6%) and for dropping out of treatment (42.2%). Attitudinal/evaluative factors were much more important than structural barriers both to initiating (97.4% v. 22.2%) and to continuing (81.9% v. 31.8%) of treatment. Reasons for not seeking treatment varied with illness severity. Low perceived need was a more common reason for not seeking treatment among individuals with mild (57.0%) than moderate (39.3%) or severe (25.9%) disorders, whereas structural and attitudinal/evaluative barriers were more common among respondents with more severe conditions. CONCLUSIONS: Low perceived need and attitudinal/evaluative barriers are the major barriers to treatment seeking and staying in treatment among individuals with common mental disorders. Efforts to increase treatment seeking and reduce treatment drop-out need to take these barriers into consideration as well as to recognize that barriers differ as a function of sociodemographic and clinical characteristics.

Two-year effects of quality improvement programs on medication management for depression.

BACKGROUND: Significant underuse of evidence-based treatments for depression persists in primary care. We examined the effects of 2 primary care-based quality improvement (QI) programs on medication management for depression. METHODS: A total of 1356 patients with depressive symptoms (60% with depressive disorders and 40% with subthreshold depression) from 46 primary care practices in 6 nonacademic managed care organizations were enrolled in a randomized controlled trial of QI for depression. Clinics were randomized to usual care or to 1 of 2 QI programs that involved training of local experts who worked with patients' regular primary care providers (physicians and nurse practitioners) to improve care for depression. In the QI-medications program, depression nurse specialists provided patient education and assessment and followed up patients taking antidepressants for up to 12 months. In the QI-therapy program, depression nurse specialists provided patient education, assessment, and referral to study-trained psychotherapists. RESULTS: Participants enrolled in both QI programs had significantly higher rates of antidepressant use than those in the usual care group during the initial 6 months of the study (52% in the QI-medications group, 40% in the QI-therapy group, and 33% in the usual care group). Patients in the QI-medications group had higher rates of antidepressant use and a reduction in long-term use of minor tranquilizers for up to 2 years, compared with patients in the QI-therapy or usual care group. CONCLUSIONS: Quality improvement programs for depression in which mental health specialists collaborate with primary care providers can substantially increase rates of antidepressant treatment. Active follow-up by a depression nurse specialist in the QI-medications program was associated with longer-term increases in antidepressant use than in the QI model without such follow-up.

The Quality Improvement for Depression collaboration: general analytic strategies for a coordinated study of quality improvement in depression care.

It is difficult to evaluate the promise of primary care quality-improvement interventions for depression because published studies have evaluated diverse interventions by using different research designs in dissimilar populations. Preplanned meta-analysis provides an alternative to derive more precise and generalizable estimates of intervention effects; however, this approach requires the resolution of analytic challenges resulting from design differences that threaten internal and external validity. This paper describes the four-project Quality Improvement for Depression (QID) collaboration specifically designed for preplanned meta-analysis of intervention effects on outcomes. This paper summarizes the interventions the four projects tested, characterizes commonalities and heterogeneity in the research designs used to evaluate these interventions, and discusses the implications of this heterogeneity for preplanned meta-analysis.

Can utility-weighted health-related quality-of-life estimates capture health effects of quality improvement for depression?

BACKGROUND: Utility methods that are responsive to changes in desirable outcomes are needed for cost-effectiveness (CE) analyses and to help in decisions about resource allocation. OBJECTIVES: Evaluated is the responsiveness of different methods that assign utility weights to subsets of SF-36 items to average improvements in health resulting from quality improvement (QI) interventions for depression. DESIGN: A group level, randomized, control trial in 46 primary care clinics in six managed care organizations. Clinics were randomized to one of two QI interventions or usual care. SUBJECTS: One thousand one hundred thirty-six patients with current depressive symptoms and either 12-month, lifetime, or no depressive disorder identified through screening 27,332 consecutive patients. MEASURES: Utility weighted SF-12 or SF-36 measures, probable depression, and physical and mental health-related quality of life scores. RESULTS: Several utility-weighted measures showed increases in utility values for patients in one of the interventions, relative to usual care, that paralleled the improved health effects for depression and emotional well being. However, QALY gains were small. Directly elicited utility values showed a paradoxical result of lower utility during the first year of the study for intervention patients relative to controls. CONCLUSIONS: The results raise concerns about the use of direct single-item utility measures or utility measures derived from generic health status measures in effectiveness studies for depression. Choice of measure may lead to different conclusions about the benefit and CE of treatment. Utility measures that capture the mental health and non-health outcomes associated with treatment for depression are needed.

Effects of cost-containment strategies within managed care on continuity of the relationship between patients with depression and their primary care providers.

BACKGROUND: Continuity of the relationship between patients and primary care providers (PCPs) is an important component of care from the consumer perspective that may be affected by variation in cost containment strategies within managed care. OBJECTIVE: To evaluate the effects of cost containment strategies on the continuity of the relationship between their patients with depression and their PCPs. DESIGN: Observational analysis of a 2-year panel of depressed patients who participated in a quality improvement intervention trial in 46 managed care practices. PARTICIPANTS: One thousand two hundred four patients with current depression who enrolled in a longitudinal study, completed the baseline survey, and were followed for 2 years. MAIN MEASURES: The dependent variable is probability of continuing the relationship between patients and their PCPs; explanatory variables include individual patient mental health benefits and cost-sharing, individual provider financial incentives, supply-side managed care policies, and patient ratings of the care received. RESULTS: The average duration of the patient-PCP relationship was significantly longer among depressed patients who initially had less generous benefits for specialty care (higher copays, P = 0.02 and fewer visits covered, P = 0.002) and for patients whose PCPs received a performance-based salary bonus from a risk pool (P = 0.07). CONCLUSIONS: For depressed patients, cost containment strategies, such as limits on specialty benefits and presence of clinician bonus payments typically used within managed care may increase, rather than decrease, PCP continuity. Whether increased PCP continuity is a desirable outcome depends on whether health care systems can provide high quality primary care and this merits further study.

Problematic substance use, depressive symptoms, and gender in primary care.

This study determined the frequency of problematic substance use and of counseling about drug and alcohol use among 867 women and 320 men who reported symptoms of depression in managed primary care clinics. Seventy-two (8.3 percent) of the women and 61 (19 percent) of the men reported hazardous drinking; 228 (26.3 percent) of the women and 94 (29.4 percent) of the men reported problematic drug use, including use of illicit drugs and misuse of prescription drugs. Only 17 (13.9 percent) of the patients who reported hazardous drinking and 18 (6.6 percent) of those who reported problematic drug use received counseling about drug or alcohol use during their last primary care visit. Men were significantly more likely than women to have received counseling about drug or alcohol use from their primary care practitioner.

Can quality improvement programs for depression in primary care address patient preferences for treatment?

BACKGROUND: Depression is common in primary care, but rates of adequate care are low. Little is known about the role of patient treatment preferences in encouraging entry into care. OBJECTIVES: To examine whether a primary care based depression quality improvement (QI) intervention designed to accommodate patient and provider treatment choice increases the likelihood that patients enter depression treatment and receive preferred treatment. METHODS: In 46 primary care clinics, patients with current depressive symptoms and either lifetime or current depressive disorder were identified through screening. Treatment preferences, patient characteristics, and use of depression treatments were assessed at baseline and 6 months by patient self-report. Matched clinics were randomized to usual care (UC) or 1 of 2 QI interventions. Data were analyzed using logistic regression models. RESULTS: For patients not in care at baseline, the QI interventions increased rates of entry into depression treatment compared with usual care (adjusted percentage: 50.0% +/- 5.3 and 33.0% +/- 4.9 for interventions vs. 15.9% +/- 3.6 for usual care; F = 12.973, P <0.0001). Patients in intervention clinics were more likely to get treatments they preferred compared with those in usual care (adjusted percentage: 54.2% +/- 3.3 and 50.7% +/- 3.1 for interventions vs. 40.5% +/- 3.1 for usual care; F = 6.034, P <0.003); however, in all clinics less than half of patients preferring counseling reported receiving it. CONCLUSIONS: QI interventions that support patient choice can improve the likelihood of patients receiving preferred treatments. Patient treatment preference appears to be related to likelihood of entering depression treatment, and patients preferring counseling may require additional interventions to enhance entry into treatment.

Long-term effectiveness of disseminating quality improvement for depression in primary care.

BACKGROUND: This article addresses whether dissemination of short-term quality improvement (QI) interventions for depression to primary care practices improves patients' clinical outcomes and health-related quality of life (HRQOL) over 2 years, relative to usual care (UC). METHODS: The sample included 1299 patients with current depressive symptoms and 12-month, lifetime, or no depressive disorder from 46 primary care practices in 6 managed care organizations. Clinics were randomized to UC or 1 of 2 QI programs that included training local experts and nurse specialists to provide clinician and patient education, assessment, and treatment planning, plus either nurse care managers for medication follow-up (QI-meds) or access to trained psychotherapists (QI-therapy). Outcomes were assessed every 6 months for 2 years. RESULTS: For most outcomes, differences between intervention and UC patients were not sustained for the full 2 years. However, QI-therapy reduced overall poor outcomes compared with UC by about 8 percentage points throughout 2 years, and by 10 percentage points compared with QI-meds at 24 months. Both interventions improved patients' clinical and role outcomes, relative to UC, over 12 months (eg, a 10-11 and 6-7 percentage point difference in probable depression at 6 and 12 months, respectively). CONCLUSIONS: While most outcome improvements were not sustained over the full 2 study years, findings suggest that flexible dissemination of short-term, QI programs in managed primary care can improve patient outcomes well after program termination. Models that support integrated psychotherapy and medication-based treatment strategies in primary care have the potential for relatively long-term patient benefits.

Does obesity contribute as much to morbidity as poverty or smoking?

The prevalence of obesity is increasing in America, but its impact on morbidity relative to other health risks is unclear. This paper compares the effects of overweight, poverty, smoking and problem drinking on occurrence of chronic conditions and health-related quality of life. The data were collected from a nationally representative household telephone survey of 9585 adults fielded in 1998, using self-reported measures of height and weight, poverty, smoking status, problem drinking, chronic conditions and SF-12 global scales. Regression analyses were used to estimate effects of health risk factors on morbidity. Thirty-six percent of adults are overweight but not obese (25< or =BMI<30) and another 23% are obese (BMI> or =30). Controlling for demographics, obesity is associated with more chronic conditions and worse physical health-related quality of life (P<0.01). Smoking history and poverty predict having chronic conditions, but their effect sizes are significantly smaller. Even after controlling for chronic conditions, obesity predicts physical health-related quality of life, in that case with an effect size similar to poverty. The effect of problem drinking is always smaller. Obesity is highly prevalent and associated with at least as much morbidity as are poverty, smoking and problem drinking. Nevertheless, the latter have achieved more consistent attention in recent decades in clinical practice and public health policy.

Affective disorders in children and adolescents: addressing unmet need in primary care settings.

Affective disorders are common among children and adolescents but may often remain untreated. Primary care providers could help fill this gap because most children have primary care. Yet rates of detection and treatment for mental disorders generally are low in general health settings, owing to multiple child and family, clinician, practice, and healthcare system factors. Potential solutions may involve 1) more systematic implementation of programs that offer coverage for uninsured children; 2) tougher parity laws that offer equity in defined benefits and application of managed care strategies across physical and mental disorders; and 3) widespread implementation of quality improvement programs within primary care settings that enhance specialty/primary care collaboration, support use of care managers to coordinate care, and provide clinician training in clinically and developmentally appropriate principles of care for affective disorders. Research is needed to support development of these solutions and evaluation of their impacts.

The quality of care for depressive and anxiety disorders in the United States.

BACKGROUND: Depressive and anxiety disorders are prevalent and cause substantial morbidity. While effective treatments exist, little is known about the quality of care for these disorders nationally. We estimated the rate of appropriate treatment among the US population with these disorders, and the effect of insurance, provider type, and individual characteristics on receipt of appropriate care. METHODS: Data are from a cross-sectional telephone survey conducted during 1997 and 1998 with a national sample. Respondents consisted of 1636 adults with a probable 12-month depressive or anxiety disorder as determined by brief diagnostic interview. Appropriate treatment was defined as present if the respondent had used medication or counseling that was consistent with treatment guidelines. RESULTS: During a 1-year period, 83% of adults with a probable depressive or anxiety disorder saw a health care provider (95% confidence interval [CI], 81%-85%) and 30% received some appropriate treatment (95% CI, 28%-33%). Most visited primary care providers only. Appropriate care was received by 19% in this group (95% CI, 16%-23%) and by 90% of individuals visiting mental health specialists (95% CI, 85%-94%). Appropriate treatment was less likely for men and those who were black, less educated, or younger than 30 or older than 59 years (range, 19-97 years). Insurance and income had no effect on receipt of appropriate care. CONCLUSIONS: It is possible to evaluate mental health care quality on a national basis. Most adults with a probable depressive or anxiety disorder do not receive appropriate care for their disorder. While this holds across diverse groups, appropriate care is less common in certain demographic subgroups.

Quality improvement for depression enhances long-term treatment knowledge for primary care clinicians.

OBJECTIVE: We evaluated the effect of implementing quality improvement (QI) programs for depression, relative to usual care, on primary care clinicians' knowledge about treatment. DESIGN AND METHODS: Matched primary care clinics (46) from seven managed care organizations were randomized to usual care (mailed written guidelines only) versus one of two QI interventions. Self-report surveys assessed clinicians' knowledge of depression treatments prior to full implementation (June 1996 to March 1997) and 18 months later. We used an intent-to-treat analysis to examine intervention effects on change in knowledge, controlling for clinician and practice characteristics, and the nested design. PARTICIPANTS: One hundred eighty-one primary care clinicians. INTERVENTIONS: The interventions included institutional commitment to QI, training local experts, clinician education, and training nurses for patient assessment and education. One intervention had resources for nurse follow-up on medication use (QI-meds) and the other had reduced copayment for therapy from trained, local therapists (QI-therapy). RESULTS: Clinicians in the intervention group had greater increases compared with clinicians in the usual care group over 18 months in knowledge of psychotherapy (by 20% for QI-meds, P =.04 and by 33% for QI-therapy, P =.004), but there were no significant increases in medication knowledge. Significant increases in knowledge scores (P =.01) were demonstrated by QI-therapy clinicians but not clinicians in the QI-meds group. Clinicians were exposed to multiple intervention components. CONCLUSIONS: Dissemination of QI programs for depression in managed, primary care practices improved clinicians' treatment knowledge over 18 months, but breadth of learning was somewhat greater for a program that also included active collaboration with local therapists.

Mental disorders and the use of alternative medicine: results from a national survey.

OBJECTIVE: The study examined the relationship between mental disorders and the use of complementary and alternative medicine. METHOD: Data from a national household telephone survey conducted in 1997-1998 (N=9,585) were used to examine the relationships between use of complementary and alternative medicine during the past 12 months and several demographic variables and indicators of mental disorders. Structured diagnostic screening interviews were used to establish diagnoses of probable mental disorders. RESULTS: Use of complementary and alternative medicine during the past 12 months was reported by 16.5% of the respondents. Of those respondents, 21.3% met diagnostic criteria for one or more mental disorders, compared to 12.8% of respondents who did not report use of alternative medicine. Individuals with panic disorder and major depression were significantly more likely to use alternative medicine than those without those disorders. Respondents with mental disorders who reported use of alternative medicine were as likely to use conventional mental health services as respondents with mental disorders who did not use alternative medicine. CONCLUSIONS: We found relatively high rates of use of complementary and alternative medicine among respondents who met criteria for common mental disorders. Practitioners of alternative medicine should look for these disorders in their patients, and conventional medical providers should ask their depressed and anxious patients about the use of alternative medicine. More research is needed to determine if individuals with mental disorders use alternative medicine because conventional medical care does not meet their health care needs.

General medical and specialty mental health service use for major depression.

OBJECTIVE: While major depression is common, many depressed persons receive, at best, inadequate treatment. A first step in remedying inadequate detection and treatment of major depression requires understanding the pathways into treatment-from situations of no care, to disease recognition, to referral and appropriate treatment-as well as identifying factors associated with movement between these several stages. METHODS: Using the Epidemiologic Catchment Area sample, we identified factors associated with treatment in the general medical or mental health specialist section, or no treatment in a subsample of individuals with current major depression. RESULTS: Strikingly, one-fourth of the sample received no services, over half received care in the general medical sector, and only one-fifth accessed a mental health specialist. Among those receiving any health services (general or mental), men and respondents reporting suicidal symptoms were at risk of receiving no care, while perceived poor health and a cluster of core depressive symptoms were associated with increased odds of service use (general or mental). Among respondents receiving general medical services, perceived poor health, core depressive symptoms, a history of depression, and comorbid mental conditions increased the odds of treatment in the specialty mental health sector. CONCLUSIONS: The findings emphasize the need for public health initiatives to 1) improve detection and movement into treatment among those at risk of receiving no care; and 2) insure that, once within the health care system, the processes of primary care treatment and specialty referrals conform to evidence-based treatment guidelines.

Treatment preferences among depressed primary care patients.

OBJECTIVE: To understand patient factors that may affect the probability of receiving appropriate depression treatment, we examined treatment preferences and their predictors among depressed primary care patients. DESIGN: Patient questionnaires and interviews. SETTING: Forty-six primary care clinics in 7 geographic regions of the United States. PARTICIPANTS: One thousand one hundred eighty-seven English- and Spanish-speaking primary care patients with current depressive symptoms. MEASUREMENTS AND MAIN RESULTS: Depressive symptoms and diagnoses were determined by the Composite International Diagnostic Interview (CIDI) and the Center for Epidemiological Studies Depression Scale (CES-D). Treatment preferences and characteristics were assessed using a self-administered questionnaire and a telephone interview. Nine hundred eight-one (83%) patients desired treatment for depression. Those who preferred treatment were wealthier (odds ratio [OR], 3.7; 95% confidence interval [95% CI], 1.8 to 7.9; P =.001) and had greater knowledge about antidepressant medication ( OR, 2.6; 95% CI, 1.6 to 4.4; P

Estimation of utilities for the effects of depression from the SF-12.

BACKGROUND: Utilities for health conditions, including major depressive disorder, have a theoretical relationship to health-related quality of life (HRQOL). Because of the complexity of utility measurement and the existence of large numbers of completed studies with HRQOL data but not utility data, it would be desirable to be able to estimate utilities from measurements of HRQOL. OBJECTIVE: The objective of this study was to estimate utility for remission in major depression by use of information on associated variation in Short Form 12 (SF-12) scores. DESIGN: A mapping function for SF-12 scores (based on a 6-health-state model with patient-weighted preferences) was applied to longitudinal data from a large naturalistic study to estimate changes in utilities. SUBJECTS: Preference ratings for states were performed in a convenience sample of depressed primary care patients (n = 140). Outcomes were evaluated in patients in the Course of Depression Study (n = 295) with a DSM III diagnosis of depression at the onset of the study. MEASURES: From clinical interview data, differences in utilities and global physical and mental health-related quality of life at 1- and 2-year follow-up were compared for patients who did and did not experience remission as determined by the Course of Depression Interview. RESULTS: Remission of depression resulted in health status improvement, as measured by the SF-12, equivalent to a gain of 0.11 quality-adjusted life-years over 2 years. CONCLUSIONS: Utilities for changes in health status, associated with a clinical change in depression, can be modeled from the SF-12 scales, which results in utilities within the range of estimates described in the literature.

Who is at risk of nondetection of mental health problems in primary care?

OBJECTIVE: To determine patient and provider characteristics associated with increased risk of nondetection of mental health problems by primary care physicians. DESIGN: Cross-sectional patient and physician surveys conducted as part of the Medical Outcomes Study. PARTICIPANTS: We studied 19,309 patients and 349 internists and family physicians. MEASUREMENTS AND MAIN RESULTS: We counted "detection" of a mental health problem whenever physicians reported, in a postvisit survey, that they thought the patient had a mental health problem or that they had counseled or referred the patient for mental health. Key independent variables included patient self-reported demographic characteristics, health-related quality of life (HRQOL), depression diagnoses according to the Diagnostic and Statistical Manual of Mental Disorders, and physician demographics and proclivity to provide counseling for depression. Logistic regression analysis, adjusted for HRQOL, revealed physicians were less likely to detect mental health problems in African Americans (odds ratio [OR], 0.63; 95% confidence interval [CI], 0.46 to 0.86), men (OR, 0.64; 95% CI, 0.54 to 0.75), and patients younger than 35 years (OR, 0.61; 95% CI, 0.44 to 0.84), and more likely to detect them in patients with diabetes (OR, 1.4; 95% CI, 1.0 to 1.8) or hypertension (OR, 1.3; 95% CI, 1.1 to 1.6). In a model that included DSM-III diagnoses, odds of detection remained reduced for African Americans as well as for Hispanics (OR, 0.29; 95% CI, 0.11 to 0.71), and patients with more-severe DSM-III diagnoses were more likely to be detected. Physician proclivity toward providing counseling for depression influenced the likelihood of detection. CONCLUSIONS: Patients' race, gender, and coexisting medical conditions affected physician awareness of mental health problems. Strategies to improve detection of mental health problems among African Americans, Hispanics, and men should be explored and evaluated.

Community effects on access to behavioral health care.

OBJECTIVE: To explore the effects of community-level factors on access to any behavioral health care and specialty behavioral health care. DATA: Healthcare for Communities household survey data, merged to supplemental data from the 1990 Census Area Resource File, 1995 U.S. Census Bureau Small Area Estimates, and 1994 HMO enrollment data. STUDY DESIGN: We use a random intercept model to estimate the influences of community-level factors on access to any outpatient care, any behavioral health care conditional on having received outpatient care, and any specialty behavioral health care conditional on having received behavioral health care. DATA COLLECTION: HCC data were collected in 1997 from about 10,000 households nationwide but clustered in 60 sites. PRINCIPAL FINDINGS: Individuals in areas with greater HMO presence have better overall access to care, which in turn affects access to behavioral health care; individuals in poorer communities have less access to specialty care compared to individuals in wealthier communities. CONCLUSIONS: Our findings of lower access to specialty care among those in poor communities raises concerns about the appropriateness and quality of the behavioral health care they are receiving. More generally, the findings suggest the importance of considering the current status and expected evolution of HMO penetration and the income level in a community when devising health care policy.

Depression and health-related quality of life in ethnic minorities seeking care in general medical settings.

BACKGROUND: To examine ethnic groups differences in (a) prevalence of depressive disorders and (b) health related quality of life in fee-for-service and managed care patients (n=21504) seeking care in general medical settings. METHODS: Data are from the Medical Outcomes Study, a multi-site observational study of outpatient practices. The study screened patients of clinicians (family practice, internal medicine, cardiology, diabetology and endocrinology) for four chronic medical conditions; depression, coronary heart disease, hypertension and diabetes. A brief eight-item depression screener followed by the Diagnostic Interview Schedule-Depression Section (DIS) for screener positives identified depressed patients (n=2195). The Short Form Health Survey (SF-36) assessed health-related quality of life. Patient self-report determined ethnicity. RESULTS: Before adjusting for demographic factors, African-Americans and Hispanics had highest rates of depressive symptoms. Asian-Americans had the lowest. After adjusting for demographics (particularly gender and income), we found few statistically significant differences in prevalence or severity of depression. However, among the depressed, Whites were the most, and African-Americans the least likely to report suicidal ideation (p<0. 01), and Hispanics and Whites were more likely to have melancholia (p<0.01). African-Americans reported the poorest quality of life. LIMITATIONS: DSM III criteria (though few changes in DSM IV), and relatively small sample size of Asian-Americans compared to other groups. CONCLUSIONS: Gender and socioeconomic status are more significant factors than ethnicity in determining risk for depressive disorder. However, ethnic differences in symptom presentation, and health-related quality of life could have clinical and social consequences, and merit further study.