Retooling multiple levels to improve primary care depression treatment.
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Biomedical subjects
Publications and source records attributed to K Rost.
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OBJECTIVE: To determine whether redefining primary care team roles would improve outcomes for patients beginning a new treatment episode for major depression. DESIGN: Following stratification, 6 of 12 practices were randomly assigned to the intervention condition. Intervention effectiveness was evaluated by patient reports of 6-month change in 100-point depression symptom and functional status scales. SETTING: Twelve community primary care practices across the country employing no onsite mental health professional. PATIENTS: Using two-stage screening, practices enrolled 479 depressed adult patients (73.4% of those eligible); 90.2% completed six-month follow-up. INTERVENTION: Two primary care physicians, one nurse, and one administrative staff member in each intervention practice received brief training to improve the detection and management of major depression. MAIN RESULTS: In patients beginning a new treatment episode, the intervention improved depression symptoms by 8.2 points (95% confidence interval [CI], 0.2 to 16.1; P =.04). Within this group, the intervention improved depression symptoms by 16.2 points (95% CI, 4.5 to 27.9; P =.007), physical role functioning by 14.1 points (95% CI, 1.1 to 29.2; P =.07), and satisfaction with care (P =.02) for patients who reported antidepressant medication was an acceptable treatment at baseline. Patients already in treatment at enrollment did not benefit from the intervention. CONCLUSIONS: In practices without onsite mental health professionals, brief interventions training primary care teams to assume redefined roles can significantly improve depression outcomes in patients beginning a new treatment episode. Such interventions should target patients who report that antidepressant medication is an acceptable treatment for their condition. More research is needed to determine how primary care teams can best sustain these redefined roles over time.
OBJECTIVE: This longitudinal, nonexperimental study examined whether depression treatment provided in concordance with guidelines developed by the Agency for Healthcare Research and Quality (AHRQ) is associated with improved clinical outcomes. METHODS: The medical, insurance, and pharmacy records of a community-based sample of 435 subjects who screened positive for current major depression were abstracted to ascertain whether depression treatment was received and whether it was provided in accordance with AHRQ guidelines. Regression analyses estimated the impact of guideline-concordant treatment on the change in depression severity and on mental and physical health over a six-month period. An instrumental variables analysis was used to check the sensitivity of the results to selection bias. RESULTS: A total of 106 subjects were treated for depression by 105 different primary care and specialty providers. Sixty percent of the sample had current major depression, and about 40 percent had subthreshold depression. Only 29 percent of the patients received guideline-concordant treatment. For patients with major depression, guideline-concordant care was significantly and substantially associated with improved depression severity but not with improvements in overall mental or physical health. The instrumental variables analysis indicated that the standard regression analysis underestimated the treatment effect by 21 percent. For those with subthreshold depression, guideline-concordant care was not associated with improved outcomes. DISCUSSION AND CONCLUSIONS: This community-based, nonexperimental study found a positive relationship between the quality of care for depression and clinical outcomes for patients with major depression in routine practice settings.
OBJECTIVE: This study examined the test-retest reliability of a new instrument, the Services Assessment for Children and Adolescents (SACA), for children's use of mental health services. METHODS: A cross-sectional survey was undertaken at two sites. The St. Louis site used a volunteer sample recruited from mental health clinics and local schools. The Ventura County, California, site used a double-blind, community-based sample seeded with cases of service-using children. Participating families completed the SACA and were retested within four to 14 days. The reliability of service use items was calculated with use of the kappa statistic. RESULTS: The SACA- Parent Version had excellent test-retest reliability for both lifetime service use and previous 12-month use. The SACA also had good to excellent reliability when administered to children aged 11 and older for lifetime and 12-month use. Reliability figures for children aged nine and ten years were considerably lower for lifetime and 12-month use. The younger children's responses suggested that they were confused about some questions. CONCLUSIONS: This study demonstrates that parents and older children can reliably report use of mental health services by using the SACA. The SACA can be used to collect currently unavailable information about use of mental health services.
An econometric model estimated the disutility of traveling long distances for depression treatment, and simulations calculated the utility loss associated with selective contracting in rural and urban areas. A representative sample of depression patients (n = 106) and all practicing providers (n = 3,710) in Arkansas were identified and the distances between them were calculated. Using discrete choice analysis, patient preferences for provider type and travel distance were estimated. Simulations calculated the utility loss associated with alternative scenarios of selective contracting. Provider type and distance were significant predictors of provider choice. To equate the utility loss associated with selective contracting in rural and urban areas, a slightly higher proportion of rural physicians and a substantially higher proportion of rural mental health specialists must be contracted. To avoid further reductions in geographic access, managed care organizations should contract with a higher proportion of rural providers than urban providers.
OBJECTIVE: To examine whether competing demands explain the appearance of inadequate primary care depression treatment observed at a single visit. DESIGN: A cross-sectional patient survey. PARTICIPANTS AND SETTING: Two hundred forty patients with 5 or more symptoms of depression seeing 12 physicians in 6 primary care practices, representing 77.4% of the depressed patients identified through 2-stage screening of more than 11,000 primary care attenders. MAIN OUTCOME MEASURES: In patients with elevated depressive symptoms, discussing depression as a possible diagnosis in untreated patients, and changing depression management in treated patients. RESULTS: Physicians and patients discussed depression in 46 (47.9%) of 96 untreated patients; physicians changed depression treatment recommendations in 87 (60.4%) of 144 treated patients with current symptoms. Chronic physical comorbidity decreased the odds that physicians and untreated patients discussed depression as a possible diagnosis (odds ratio = 0.66, P = .01). New problems decreased the odds that treatment recommendations would be changed in treated patients who remained depressed (odds ratio = 0.39, P = .05). Physicians and untreated patients were more likely to discuss depression as a possible diagnosis if patients reported antidepressant medication was acceptable (odds ratio = 4.57, P = .01) and less likely to discuss depression if patients reported specialty care counseling was acceptable (odds ratio = 0.33, P = .05). CONCLUSIONS: The attention depression gets during a given medical visit is less associated with the severity of the patient's depressive symptoms than with the number or recency of other problems the patient has. If competing demands provide ongoing barriers to depression treatment, interventions will be needed to assure that patients with chronic physical problems receive high-quality mental health care in the primary care setting.
To determine the criteria other than cost large employers use in selecting and monitoring behavioral health benefits, this study interviewed 31 of 44 (70.4%) randomly selected corporations employing at least 5,000 workers. While more than 60% of employers considered administrative efficiency and provider access to be very influential in their selection of behavioral health benefits, only 12.9% (95% confidence interval 0.7%-25.1%) considered clinical outcomes. Employers who considered clinical outcomes in their purchasing decision reported significantly greater satisfaction with the quality and cost of their behavioral health benefits. Following selection, 38.7% of corporations used employee complaints to monitor quality problems in their behavioral health benefits; 3.2% used clinical outcomes. If society expects employers to purchase behavioral health care on the basis of quality as well as cost, more employers need better indicators of quality.
OBJECTIVE: The purpose of this study was to identify a community sample of rural and urban at-risk drinkers, to compare them in terms of sociodemographics, access measures and severity of illness, and to study them prospectively to identify rural/urban differences in use of 12-month alcoholism treatment services. METHOD: A brief telephone screening interview of over 12,000 respondents in six southern states identified a sample of at-risk drinkers. A baseline interview was administered to 733 individuals (67% men, 50% rural residents) that obtained information on substance use and psychiatric disorders, psychosocial factors, social support, four dimensions of access to alcoholism treatment services and prior alcoholism service use. Interviews at 6 and 12 months obtained self-reports of subsequent receipt of alcoholism treatment services. RESULTS: We identified modest differences between rural and urban at-risk drinkers. The rural sample was significantly less well-educated and reported significantly less affordability, accessibility and acceptability of some treatment services (p < .05). Rural at-risk drinkers also appeared to possess significantly greater illness characteristics, including more lifetime DSM-IV criteria for alcohol use disorders, more frequent recent alcohol disorders and more chronic medical problems (p < .05). The longitudinal sample comprised 579 participants, of whom 7% reported receiving some form of alcoholism treatment services in the year after the initial interview. In bivariate analysis, rural drinkers in the sample reported greater use of help for their drinking, more use of psychiatrists and more use of inpatient, outpatient and ER treatment settings than did their urban counterparts. However, significant independent predictors of 12-month alcoholism treatment use in multiple logistic regression were female gender (OR = 0.3), greater social support (OR = 2.2) and illness or severity characteristics including recent diagnosis of alcohol dependence (OR = 3.3), social consequences of drinking (OR = 1.7), concurrent medical problems (OR = 2.1) and prior treatment experience (OR = 4.4). CONCLUSIONS: We found modest differences among rural and urban at-risk drinkers and some evidence of greater barriers to treatment and greater illness severity among rural inhabitants. Further research is needed to know whether community interventions with social networks and other interventions to improve social support may help bring at-risk drinkers into treatment in both urban and rural settings as well as provide other support for sobriety.
OBJECTIVE: To compare primary care providers' depression-related knowledge, attitudes, and practices and to understand how these reports vary for providers in staff or group-model managed care organizations (MCOs) compared with network-model MCOs including independent practice associations and preferred provider organizations. DESIGN: Survey of primary care providers' depression-related practices in 1996. SETTING AND PARTICIPANTS: We surveyed 410 providers, from 80 outpatient clinics, in 11 MCOs participating in four studies designed to improve the quality of depression care in primary care. MEASUREMENTS AND MAIN RESULTS: We measured knowledge based on depression guidelines, attitudes (beliefs about burden, skill, and barriers) related to depression, and reported behavior. Providers in both types of MCO are equally knowledgeable about treating depression (better knowledge of pharmacologic than psychotherapeutic treatments) and perceive equivalent skills in treating depression. However, compared with network-model providers, staff/group-model providers have stronger beliefs that treating depression is burdensome to their practice. While more staff/group-model providers reported time limitations as a barrier to optimal depression treatment, more network-model providers reported limited access to mental health specialty referral as a barrier. Accordingly, these staff/group-model providers are more likely to treat patients with major depression through referral (51% vs 38%) or to assess but not treat (17% vs 7%), and network-model providers are more likely to prescribe antidepressants (57% vs 6%) as first-line treatment. CONCLUSIONS: Whereas the providers from staff/group-model MCOs had greater access to and relied more on referral, the providers from network-model organizations were more likely to treat depression themselves. Given varying attitudes and behaviors, improving primary care for the treatment of depression will require unique strategies beyond enhancing technical knowledge for the two types of MCOs.
OBJECTIVES: For depression, this research measures the impact of travel time on visit frequency and the probability of receiving treatment in concordance with AHCPR guidelines. METHODS: The medical, insurance, and pharmacy records of a community-based sample of 435 subjects with current depression were abstracted to identify those treated for depression, to determine the number of depression visits made over a 6-month period, and to ascertain whether treatment was provided in concordance with AHCPR guidelines. A Geographic Information System was used to calculate the travel time from each patient to their preferred provider. Poisson and logistic regression analyses were used to estimate the impact of travel time on visit frequency and guideline-concordance, controlling for patient casemix. RESULTS: In the community-based sample, 106 subjects were treated for depression by 105 different preferred providers. About one-third (30.7%) were treated by a mental health specialist. One average, patients made 2.8 depression visits over the 6-month period. One-third (28.9%) of the patients received guideline-concordant treatment for depression. The average number of visits for those receiving guideline-concordant care was significantly greater than for those not receiving guideline-concordant care (P < 0.01). Travel time to the preferred provider was significantly associated with making fewer visits (P < 0.0001) and having a lower likelihood of receiving guideline-concordant care (P < 0.05). DISCUSSION: For depression, both pharmacotherapy and psychotherapy treatment regimens require frequent provider contact to be effective. This study suggests that travel barriers may prevent rural patients from making a sufficient number of visits to receive effective guideline-concordant treatment.
Policy-makers have long suspected that greater barriers to care result in depressed rural residents being less likely to receive high-quality treatment. This study recruited 470 depressed community residents in a 1992 telephone survey, followed 95 percent of them through one year, and abstracted additional data on their health care utilization from insurance claims, medical and pharmacy records. Bivariate and multivariate models demonstrated that during the year following the baseline, there were no significant rural-urban differences in the rate (probability of any outpatient depression treatment), type (probability of receiving general medical depression care only), or quality (completion of guideline-concordant acute-stage care) of outpatient depression treatment. Annual expenditures for outpatient depression treatment were lower for rural subjects compared with their urban counterparts. Rural subjects had 3.05 times the odds of being admitted to a hospital for physical problems and 3.06 times the odds of being admitted to a hospital for mental health problems during the year following baseline compared with urban subjects. Cost-offset analyses demonstrate that every dollar invested in depression treatment was associated with a $2.61 decrease in the cost of treating physical problems in depressed rural residents. Limited insurance coverage and limited availability of services were the most significant barriers to specialty and general medical outpatient treatment for depression in both rural and urban residents. More than 80 percent of depressed residents in both rural and urban areas visited a primary care provider during the year following baseline. The potential cost offset of depression treatment in rural populations plus the improvement in productivity observed in both rural and urban populations indicate that it may be economically possible to improve quality of care for depression without bankrupting an already strained health care budget.
Despite its relevance for quality care initiatives, the field of psychiatry has little scientific knowledge regarding the course of current major depression when primary care patients with the disorder remain undetected. Using statewide telephone screening, we identified and followed 98 adults with current major depression who made one or more visits to a primary care physician during the 6 months following baseline. Thirty-two percent of primary care patients with current major depression remained undetected for up to 1 year. Almost half of undetected patients developed suicidal ideation. Less than one-third of undetected patients made a visit during the month they reported their worst symptoms. Fifty-three percent of undetected patients reported five or more current symptoms at 1 year follow-up. Primary care patients with undetected major depression report persistently poor outcomes. Comparison of outcomes with detected patients suggests that quality improvement efforts directed at improving detection without improving management of detected patients may not improve outcomes.
OBJECTIVES: Using a community-based sample of currently depressed subjects, this research modeled the joint decision to seek depression treatment and choice of provider sector (primary care or specialty mental health). The objective was to identify those subject-specific case-mix factors and those provider sector-specific access measures that significantly impacted this joint decision. METHODS: A community-based sample of 435 Arkansans with current depression symptoms was compiled using random digit dialing and the Burnam depression screener. Study subjects were administered baseline and 6-month follow-up surveys. All medical, pharmaceutical, and insurance records were collected and abstracted to verify service use and depression treatment. Three discrete choice model specifications were tested: sequential binary logit models, a multinomial logit model, and a nested logit model. The nested logit model makes less restrictive assumptions about the patterns of substitution across treatment alternatives than the other model specifications. RESULTS: In the 6 months after baseline, 73.3% of the sample did not seek depression treatment, 18.9% sought care from a primary care provider, and 7.8% sought care from a mental health specialist. A likelihood ratio test identified the nested logit model as the preferred model specification (chi 2 < or = 0.05), indicating that the expected maximum utility of sector choice significantly affects the decision to seek treatment. Provider sector-specific access measures (e.g., insurance coverage and availability) significantly impacted sector choice and, thus, the decision to seek treatment. Subject-specific case-mix factors (e.g., age, gender, employment status, depression severity, and psychiatric comorbidity) significantly affected the decision to seek treatment. CONCLUSIONS: Sector-specific access measures significantly impact both provider sector choice and the decision to seek treatment. Because the primary care and specialty care treatment alternatives were more substitutable with one another than with the no treatment option, changes in access affected sector choice more than the decision to seek treatment.
OBJECTIVES: Because there are fewer per capita providers trained to deliver mental health services in rural areas, the authors hypothesized that depressed rural individuals would receive less outpatient treatment and report higher rates of hospital admittance and suicide attempts than their urban counterparts. METHODS: The authors recruited 74% of eligible participants (n = 470) from a 1992 telephone survey and followed up 95% of subjects for 1 year. The authors collected data from subjects on psychiatric problems and service use and from insurers/providers on treatment and expenditures. RESULTS: Although there were no rural-urban differences in the rate, type, or quality of outpatient depression treatment, rural subjects made significantly fewer specialty care visits for depression. Depressed rural individuals had 3.05 times the odds of being admitted to the hospital for physical problems (P = 0.02) and 3.06 times the odds of being admitted for mental health problems (P = 0.08) during the year. Elevated rates of hospital admittance disappear in models controlling for number of specialty care depression visits in the previous month. Rural subjects reported significantly more suicide attempts during the period of 1 year (P = 0.05). CONCLUSIONS: Additional work is warranted to determine how to alter barriers to outpatient specialty care if the rural health care delivery system is to provide cost-effective depression care.
OBJECTIVE: Health policy makers lack accurate information about per capita spending for the treatment of major depression, the distribution of those expenditures, and the proportion of the health care dollar consumed by depression treatment. METHOD: The authors recruited and followed a community cohort of individuals with major depression; the 298 subjects were either enrolled in fee-for-service insurance plans or self-insured. Charges for all health care services received during the year following baseline were abstracted from medical and insurance records. RESULTS: Over the course of 1 year, 48.1% of the subjects received depression treatment. The per capita total expenditure for inpatient and outpatient depression treatment averaged $631, with a median of $152, for the treated subjects. Just 4.9% of the treated subjects consumed 45.0% of the outpatient expenditures. Depression treatment consumed only 8 cents of every health care dollar spent on the patients treated for depression. CONCLUSIONS: Studies are needed to examine how the level and distribution of expenditures for depression treatment change under managed care and to determine whether and how any differences affect outcomes in the afflicted population. Managed care attempts to contain costs by limiting outpatient care may not affect total health care expenditures dramatically, since depression treatment consumes such a minuscule portion of the health care dollar spent on this population.
To investigate how practice guidelines or recommendations can be applied in the assessment of quality of care, 72 subjects beginning specialty treatment for panic disorder were enrolled. The Panic Outcomes Module assessed symptoms, health status, and treatment at baseline and after 8 weeks. Using published guidelines, the authors developed specific criteria to rate whether subjects' reports reflected appropriate treatment, including antipanic medication or three or more subsequent visits that involved antipanic behavioral therapy elements. Sixty-nine subjects (96%) completed the Panic Outcomes Module at both baseline and follow-up. Improvement in symptoms and health status was not different between subjects receiving appropriate and inappropriate care.
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BACKGROUND: Patients who somatize but who do not meet criteria for somatization disorder are common in the community. Virtually no research has been conducted to determine how to treat these patients. METHODS: We conducted a randomized controlled clinical trial of a psychiatric consultation intervention we had previously shown to improve the management of somatization disorder. The study population included 51 physicians treating 56 somatizing patients who had a history of seeking help for six to 12 lifetime unexplained physical symptoms. At the onset of the experiment, physicians randomized to the treatment condition received a consultation letter recommending a specific management approach; physicians randomized to the control/crossover condition received the consultation letter after 12 months. Data on health outcomes and charges were collected every 4 months for 2 years after randomization for 96% of subjects who entered the study. RESULTS: Patients of physicians who received the intervention reported significantly increased physical functioning, an improvement that remained stable during the year after the intervention. The intervention reduced annual medical care charges by $289 (95% confidence interval, $40 to $464) in 1990 constant dollars, which equates to a 32.9% reduction in the annual median cost of their medical care. CONCLUSIONS: Somatizing patients with a lifetime history of six to 12 unexplained physical symptoms reported better physical functioning after their primary care physician was provided appropriate treatment recommendations via a psychiatric consultation. Such a consultation is cost-effective because it reduces subsequent charges for medical care, while improving health outcomes in a chronically impaired population.