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.

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 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.

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.

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.

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.

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.

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.

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.

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

CONCLUSIONS

Despite low rates of treatment for depression, most depressed primary care patients desire treatment, especially counseling. Preferences for depression treatment vary by ethnicity, gender, income, and knowledge about treatments.

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Key Words

• depression
• primary care
• patient preferences
• treatment preferences

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MESH Headings

• Adolescent
• Adult
• Depression/classification
• Depression/diagnosis
• Depression/therapy
• Female
• Humans
• Interviews as Topic
• Male
• Middle Aged
• Patient Acceptance of Health Care
• Patient Satisfaction
• Primary Health Care
• Socioeconomic Factors
• Surveys and Questionnaires

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Grants

• R01 HS008349 AHRQ HHS
• K12 MH00990-01-01 NIMH NIH HHS
• HS08349-02 AHRQ HHS

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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.

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.

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.

Impact of disseminating quality improvement programs for depression in managed primary care: a randomized controlled trial

CONTEXT

Care of patients with depression in managed primary care settings often fails to meet guideline standards, but the long-term impact of quality improvement (QI) programs for depression care in such settings is unknown.

OBJECTIVE

To determine if QI programs in managed care practices for depressed primary care patients improve quality of care, health outcomes, and employment.

DESIGN

Randomized controlled trial initiated from June 1996 to March 1997.

SETTING

Forty-six primary care clinics in 6 US managed care organizations.

PARTICIPANTS

Of 27332 consecutively screened patients, 1356 with current depressive symptoms and either 12-month, lifetime, or no depressive disorder were enrolled.

INTERVENTIONS

Matched clinics were randomized to usual care (mailing of practice guidelines) or to 1 of 2 QI programs that involved institutional commitment to QI, training local experts and nurse specialists to provide clinician and patient education, identification of a pool of potentially depressed patients, and either nurses for medication follow-up or access to trained psychotherapists.

MAIN OUTCOME MEASURES

Process of care (use of antidepressant medication, mental health specialty counseling visits, medical visits for mental health problems, any medical visits), health outcomes (probable depression and health-related quality of life [HRQOL]), and employment at baseline and at 6- and 12-month follow-up.

RESULTS

Patients in QI (n = 913) and control (n = 443) clinics did not differ significantly at baseline in service use, HRQOL, or employment after nonresponse weighting. At 6 months, 50.9% of QI patients and 39.7% of controls had counseling or used antidepressant medication at an appropriate dosage (P<.001), with a similar pattern at 12 months (59.2% vs 50.1%; P = .006). There were no differences in probability of having any medical visit at any point (each P > or = .21). At 6 months, 47.5% of QI patients and 36.6% of controls had a medical visit for mental health problems (P = .001), and QI patients were more likely to see a mental health specialist at 6 months (39.8% vs 27.2%; P<.001) and at 12 months (29.1% vs 22.7%; P = .03). At 6 months, 39.9% of QI patients and 49.9% of controls still met criteria for probable depressive disorder (P = .001), with a similar pattern at 12 months (41.6% vs 51.2%; P = .005). Initially employed QI patients were more likely to be working at 12 months relative to controls (P = .05).

CONCLUSIONS

When these managed primary care practices implemented QI programs that improve opportunities for depression treatment without mandating it, quality of care, mental health outcomes, and retention of employment of depressed patients improved over a year, while medical visits did not increase overall.

Quality of care for primary care patients with depression in managed care

OBJECTIVE

To evaluate the process and quality of care for primary care patients with depression under managed care organizations.

METHOD

Surveys of 1204 outpatients with depression at the time of and after a visit to 1 of 181 primary care clinicians from 46 primary care clinics in 7 managed care organizations. Patients had depressive symptoms in the previous 30 days, with or without a 12-month depressive disorder by diagnostic interview. Process indicators were depression counseling, mental health referral, or psychotropic medication management at index visit and the use of appropriate antidepressant medication during the last 6 months.

RESULTS

Of patients with depressive disorder and recent symptoms, 29% to 43% reported a depression-specific process of care in the index visit, and 35% to 42% used antidepressant medication in appropriate dosages in the prior 6 months. Patients with depressive disorders rather than symptoms only and those with comorbid anxiety had higher rates of depression-specific processes and quality of care (P < .005). Recurrent depression, suicidal ideation, and alcohol abuse were not uniquely associated with such rates. Patients visiting for old problems or checkups received more depression-specific care than those with new problems or unscheduled visits. The 7 managed care organizations varied by a factor of 2-fold in rates of depression counseling and appropriate anti-depressant use.

CONCLUSIONS

Rates of process and quality of care for depression as reported by patients are moderate to low in managed primary care practices. Such rates are higher for patients with more severe forms of depression or with comorbid anxiety, but not for those with severe but "silent" symptoms like suicide ideation. Visit context factors, such as whether the visit is scheduled, affect rates of depression-specific care. Rates of care for depression are highly variable among managed care organizations, emphasizing the need for process monitoring and quality improvement for depression at the organizational level.

Functioning and utility for current health of patients with depression or chronic medical conditions in managed, primary care practices

BACKGROUND

Health utility is the recommended outcome metric for medical cost-effectiveness studies. We compared health utility and quality of life for primary care patients with depression or chronic medical conditions.

METHODS

Respondents were outpatients (N = 17 558) of primary care clinicians (N = 181) in 7 managed care organizations. Utility was assessed by time tradeoff, or the years of life that patients would exchange for perfect health, and standard gamble, or the required chance of success to accept a treatment that can cause immediate death or survival in perfect health. Probable 12-month depressive disorder and affective syndromes were assessed through self-report items from a diagnostic interview. Medical conditions were assessed with self-report. Quality of life was assessed by the 12-Item Short-Form Health Survey. Regression models were used to compare quality of life and utility for patients with depression vs chronic medical conditions.

RESULTS

Patients with probable 12-month depressive disorder had worse mental health and role-emotional and social functioning and lower utility for their current health than patients with each chronic medical condition (for most comparisons, P<.001). Depressed patients had worse physical functioning than patients with 4 common chronic conditions but better physical functioning than patients with 4 other conditions (each P<.001). Patients with lifetime bipolar illness and 12-month double depression had the poorest quality of life and lowest utility.

CONCLUSIONS

Primary care patients with depressive conditions have poorer mental, role-emotional, and social functioning than patients with common chronic medical conditions, and physical functioning in the midrange. The low utility of depressed patients relative to patients with chronic medical conditions suggests that recovery from depression should be a high practice priority.

Evidence-based care for depression in managed primary care practices

This paper evaluates whether externally designed, evidence-based interventions for improving care for depression can be locally implemented in managed care organizations. The interventions were carried out as part of a randomized trial involving forty-six practices within six diverse, nonacademic managed care plans. Based on evaluation of adherence to the intervention protocol, we determined that local practice leaders are able to implement predesigned interventions for improving depression care. Adherence rates for most key intervention activities were above 70 percent, and many were near 100 percent. Three intervention activities fell short of the goal of 70 percent implementation and should be targets for future improvement.

The design of Healthcare for Communities: a study of health care delivery for alcohol, drug abuse, and mental health conditions

There is a shortage of data to inform policy debates about the quickly changing health care system. This paper describes Healthcare for Communities (HCC), a component of the Robert Wood Johnson Foundation's Health Tracking Initiative that was designed to fill this gap for alcohol, drug abuse, and mental health care. HCC bridges clinical perspectives and economic/policy research approaches, links data at market, service delivery, and individual levels, and features a household survey of nearly 9,600 individuals with an employer follow-back survey. Public use files will be available in late 1999.