Rural-urban differences in depression treatment and suicidality

Rurality, gender, and mental health treatment

Mental health problems are common and costly, yet many individuals with these problems either do not receive care or receive care that is inadequate. Gender and place of residence contribute to disparities in the use of mental health services. The objective of this study was to identify the influence of gender and rurality on mental health services utilization by using more sensitive indices of rurality. Pooled data from 4 panels of the Medical Expenditure Panel Survey (1996-2000) yielded a sample of 32,219 respondents aged 18 through 64. Variables were stratified by residence using rural-urban continuum codes. We used logistic and linear regression to model effects of gender and rurality on treatment rates. We found that rural women are less likely to receive mental health treatment either through the general healthcare system or through specialty mental health systems when compared to women in metropolitan statistical areas (MSA) or urbanized non-MSA areas. Rural men receive less mental health treatment than do rural women and less specialty mental health treatment than do men in MSAs or least rural non-MSA areas. Reported mental health deteriorates as the level of rurality increases. There is a considerable unmet need for mental health services in most rural areas. The general health sector does not seem to contribute remarkably to mental health services for women in these areas.

Use of place mats to provide seniors with information on depression

OBJECTIVE

The primary objective was to provide information on depression and antidepressants to seniors living in rural (frontier) settings in a format that might be effective.

SETTING

The setting included all senior centers, senior center satellites, assisted living facilities, and boarding homes listed with the Wyoming Department of Health Aging Division as well as seniors' private homes.

PRACTICE DESCRIPTION

Through funding from the aging division, a consultant pharmacist provides programs and activities for and about seniors regarding medication management, screening, and education.

PRACTICE INNOVATION

A place mat was designed with basic information on depression and resources available, with a brief quiz on antidepressants. The place mats were intended to be utilized during meals at the respective facilities or to be sent with meals to seniors who received meals from the sites. Twenty thousand copies of the place mat were printed and distributed in December 2004. Facilities were surveyed briefly in February 2005.

MAIN OUTCOME MEASURE

Although the main outcome could not be measured easily, the goal was to increase the understanding of depression and antidepressants by seniors in the generally frontier areas of Wyoming.

RESULTS

Comments indicated that the format was well received. One senior center instituted a monthly mental health session in response to the place mats.

CONCLUSION

Although scientific evidence of effectiveness was not measured, the use of place mats for providing information on depression and its treatment appear to have been accepted as useful, and that acceptance may help decrease the stigma of treatment in these seniors in rural areas.

The relationship of depression treatment quality indicators to employee absenteeism

Although employers commonly review administrative database indicators to assess depression treatment quality, they do not know whether these indicators predict relevant outcomes like absenteeism. In 230 employed patients in five health plans, we tested how administrative database-derived indicators for antidepressant medication and psychotherapy provided during the first 6 months of a new depression treatment episode predicted patient-reported absenteeism change over 12 months. The medication indicator was not significantly associated with absenteeism change over 12 months (p = .64); however, the psychotherapy indicator was significantly associated with an average 26.1% improvement in absenteeism over 12 months (p < .05). If subsequent studies confirm the results we report, quality monitoring initiatives interested in employer-relevant indicators of depression treatment quality should examine administrative database indicators of psychotherapy.

Modeling the Mental Health Workforce in Washington State: Using State Licensing Data to Examine Provider Supply in Rural and Urban Areas

CONTEXT

Ensuring an adequate mental health provider supply in rural and urban areas requires accessible methods of identifying provider types, practice locations, and practice productivity.

PURPOSE

To identify mental health shortage areas using existing licensing and survey data.

METHODS

The 1998-1999 Washington State Department of Health files on credentialed health professionals linked with results of a licensure renewal survey, 1990 US Census data, and the results of the 1990-1992 National Comorbidity Survey were used to calculate supply and requirements for mental health services in 2 types of geographic units in Washington state-61 rural and urban core health service areas and 13 larger mental health regions. Both the number of 9 types of mental health professionals and their full-time equivalents (FTEs) per 100,000 population measured supply in the health service areas and mental health regions.

FINDINGS

Notable shortages of mental health providers existed throughout the state, especially in rural areas. Urban areas had 3 times the psychiatrist FTEs per 100,000 and more than 1.5 times the nonpsychiatrist mental health provider FTEs per 100,000 as rural areas. More than 80% of rural health service areas had at least 10% fewer psychiatrist FTEs and nonpsychiatrist mental health provider FTEs than the state ratio (10.4 FTEs per 100,000 and 306.5 FTEs per 100,000, respectively). Ten of the 13 mental health regions were more than 10% below the state ratio of psychiatrist FTEs per 100,000.

CONCLUSIONS

States gathering a minimum database at licensure renewal can identify area-specific mental health care shortages for use in program planning.

Unmet need for the treatment of depression in Atlantic Canada

OBJECTIVE

Most people with depression do not receive treatment, even though effective interventions are available. Population-based data can assist health service planners to improve access to mental health services. This study aimed to examine the determinants of untreated depression in Canada's Atlantic provinces.

METHOD

This study used data from the Canadian Community Health Survey Cycle 1.1. Logistic regression models explored the prevalence of depression and associated patterns of mental health service use among population subgroups.

RESULTS

Of the respondents, 7.3% experienced major depression in the previous year, as measured by the Composite International Diagnostic Interview Short Form. Individuals with the following characteristics were at increased risk for depression: female sex; widowed, separated, or divorced marital status; low income; and 2 or more comorbid medical conditions. Only 40% of respondents with probable depression reported any consultation about their condition with a general practitioner or mental health specialist. Less than one-quarter of Atlantic Canadians with depression reported receiving levels of care consistent with practice guidelines. Vulnerable groups, including older individuals, people with low levels of education, and those living in rural areas, were significantly less likely to receive treatment in either primary or specialty care.

CONCLUSIONS

These findings suggest inequitable access to services and the need to target interventions to at-risk populations by raising awareness among the public and health care providers. Health systems in the Atlantic region must work toward achieving consistent longitudinal care for a larger proportion of individuals suffering from depression by studying the underlying factors for service use among underserved groups.

The evaluation of a model of primary mental health care in rural Tasmania

OBJECTIVE

The aim of this study was to evaluate the effectiveness of a primary care mental health service.

DESIGN

The study used a naturalistic longitudinal design to follow groups of participants who received intervention from a rural mental health worker, or 'usual' mental health service, or no treatment, over a period of 12 months.

SETTING

The service was evaluated in a rural primary care setting.

PARTICIPANTS

One hundred and forty-five primary care patients.

OUTCOME MEASURES

Changes in symptomatology were assessed using the SCL-90R summary scales, and changes in quality of life were assessed using the EuroQOL.

RESULTS

Those participants treated by the primary mental health worker showed significant improvements in symptoms and quality of life compared to both the usual and no-treatment groups.

CONCLUSION

There are few studies evaluating mental health services in rural settings. This study demonstrated that a particular model of primary mental health care was more effective than usual mental health care and no treatment at resolving symptoms and improving quality of life.

Clinical Improvement Associated with Conformance to HEDIS-Based Depression Care

BACKGROUND

Employers recently requested a valid metric of depression treatment quality. Such an indicator needs to measure the proportion of the population in need who receive high-quality care, and to predict clinical improvement.

METHODS

We constructed an administrative database indicator derived from HEDIS criteria for antidepressant medication management, and tested it in 230 employed patients in five health plans.

RESULTS

Indicator rates were 7.0% in the population in need. Conformance to indicator criteria in this population was associated with 23.0% improvement in depression severity over 1 year (p = .02).

CONCLUSIONS

Administrative database indicators that predict clinical improvement are a very rare accomplishment. Existing depression indicators may need to be calculated for the population in need to provide a valid metric for employer purchasers.

A comparison of client and mental health worker assessment of needs and unmet needs

This study was set up to examine agreement on needs identified by mental health clients and their primary mental health workers. Mental health workers assessed a convenience sample of clients who completed an interview about the services they receive. Data were collected from 78 client and staff dyads regarding 11 need domains. Mental health workers and clients did not agree on the number of needs (ICC = 0.42). Kappa coefficients indicated significant agreement between staff and clients for only 1 of the 11 need domains (vocational need kappa = 0.67; others ranged from 0 to 0.58). The data further revealed that mental health workers and clients disagreed about unmet needs (kappa ranged from -0.07 to 0.46). These findings show that clients and staff have divergent opinions regarding needs. Integrating clients' perspectives into treatment plans may help address this issue.

Local area deprivation and urban-rural differences in anxiety and depression among people older than 75 years in Britain

OBJECTIVES

We sought to determine the association of depression and anxiety with "area deprivation" (neighborhood socioeconomic deprivation) and population density among people older than 75 years in Britain.

METHODS

Postal codes were used to link census area information to individual data on depression and anxiety in 13349 people aged 75 years and older taking part in a trial of health screening.

RESULTS

Living in the most socioeconomically deprived areas was associated with depression (OR=1.4), but this relation disappeared after adjusting for individual deprivation characteristics. There was no association with anxiety. Living in the highest density and intermediate low-density areas was associated with depression (OR=1.6 and 1.5) and anxiety (OR=1.5 and 1.3) compared with the lowest density areas.

CONCLUSIONS

An association between area deprivation and depression in older people was explained by individual health, demographic, and socioeconomic factors. Higher population density was consistently associated with increased depression and anxiety.

Equivalent lengths of stay of pediatric patients hospitalized in rural and nonrural hospitals

BACKGROUND

Many children receive their care at local hospitals outside of a large urban area. There may be differences in the length of stay (LOS) between children hospitalized in rural versus urban hospitals. This study compared the differences in LOS, conditional LOS (CLOS), odds of prolonged stay, and 21-day readmission rates for children with 19 medical conditions and 9 surgical procedures admitted to rural, community, and large urban hospitals.

METHODS

Discharge records for the hospitalizations of children 1 to 17 years of age were obtained from the New York Department of Public Health Statewide Planning and Research Cooperative System and the Pennsylvania Health Care Cost Containment Council for April 1996 to July 1998. The 19 medical and 9 surgical conditions were identified with the principal condition and procedure codes. Hospitals were classified into 1 of 5 geographic categories on the basis of United States rural-urban continuum codes, ie, large urban, suburban, moderate urban, small urban, or rural. LOS was defined as the period of time between hospital admission and discharge. Readmission rates were calculated for 21 days after discharge from the hospital. A prolonged stay for each condition was defined as any admission lasting beyond the prolongation point, or the day at which the rate of discharge began to decline, as determined with the Hollander-Proschan statistic. This aspect of LOS describes the ability of providers to treat uncomplicated cases of that specific principle diagnosis. CLOS, as a marker for the management of complicated cases, was defined as the LOS beyond the prolongation point. Cox and logistic regression models were developed to describe the geographic effects on the 4 outcome variables, after severity adjustment with 32 demographic and 11 comorbidity variables and adjustment for hospital clustering.

RESULTS

Medical (N = 114,787) and surgical (N = 29,156) admissions to rural hospitals (N = 12,367) had similar outcomes, compared with all geographic categories except the large urban category. Medical patients admitted to rural hospitals had a shorter LOS (12% increase in discharge rate), a shorter CLOS (12% increase in discharge rate), and lower odds of prolonged stay (odds ratio: 0.80), compared with those in large urban hospitals. Surgical patients admitted to rural hospitals had a shorter LOS (12% increase in discharge rate) and lower odds of prolonged stay (odds ratio: 0.81), compared with those in large urban hospitals. For individual conditions, rural hospitals in general had similar or improved LOS, compared with all other hospitals in the 2 states. The addition of hospital-level variables failed to change the results of the primary models.

CONCLUSIONS

In their treatment of pediatric hospitalized patients, rural hospitals were not significantly different from hospitals in all geographic regions other than large urban areas. Rural hospitals appear to deliver similar care, compared with nonrural hospitals, for many of the common pediatric conditions included in this study. Additional research is needed to apply these results to other regions or states with different geographic distributions of hospitals and children, in order to determine the overall impact on the regionalization of pediatric care.

Child functioning in rural and nonrural areas: how does it compare when using the service program site as the level of analysis?

The current study uses data from the national evaluation of the Comprehensive Community Mental Health Services for Children and Their Families Program to examine child functioning in rural (n = 8) as compared to nonrural (n = 18) system-of-care communities across the United States. In this study, the topic of rural versus nonrural differences is approached from a community-level perspective with aggregated functional impairment scores as the dependent variable of interest in weighted least squares regression. The demographic characteristics of children, particularly age, were more important predictors of functional impairment than geographic locale (i.e., rural vs nonrural). Specifically, while children served in nonrural communities were older than those served in rural communities, after controlling for this difference functional impairment levels were similar. It appears from these analyses that youth served in rural and nonrural communities with systems of care were more similar than they were different with regard to their level of functional impairment. This lack of aggregate functional difference between the rural and nonrural sites reminds policymakers and funding agents that youth in rural areas need equity in both access and resource for mental health services. As indicated by the findings in the current investigation youth in rural areas are not immune to the types of mental health challenges often publicized by researchers examining youth in nonrural areas.

Diagnosed mental and physical health conditions in the United States nursing home population: differences between urban and rural facilities

CONTEXT

There has been limited examination of the differences in health characteristics of the rural long-term care population. Recognizing these differences will allow policymakers to improve access to long-term care services in rural communities.

PURPOSE

To determine whether differences in likelihood of diagnosis exist between urban and rural nursing home residents for 8 common medical conditions: 4 mental health conditions (depression, anxiety, Alzheimer's, and non-Alzheimer's dementia) and 4 physical health conditions (cancer, emphysema/chronic obstructive pulmonary disease, heart disease, and stroke/transient ischemic attack).

METHODS

We used multivariate logistic regression to examine data derived from the 1996 Nursing Home Component of the Medical Expenditure Panel Survey, a multistage stratified probability sample of 815 nursing homes and 5899 residents, representing 3.1 million individuals in the United States who spent 1 or more nights in nursing homes during 1996.

FINDINGS

Residents in rural homes were less likely to be diagnosed with depression compared to those in homes in large metropolitan areas, and residents in homes in small metropolitan areas were less likely to have cancer than those in large metropolitan areas. Diagnostic status between urban and rural residents was comparable for the other 6 conditions.

CONCLUSIONS

Further research is necessary to determine whether and why depression is inadequately diagnosed in rural nursing homes and to ascertain which types of cancer are responsible for the observed differential. Such research is particularly important for elderly nursing home residents who are more likely to suffer from chronic conditions that require significant medical supervision.

Mood and anxiety disorders among rural, urban, and metropolitan residents in the United States

OBJECTIVE

To estimate the correlates of mood and anxiety disorders among rural, urban and metropolitan residents in the United States.

METHODS

We analyzed the National Co-morbidity Survey (NCS), which yields the distribution and correlates of psychiatric disorders in a probability sample of U.S. population using DSM-III-R for diagnosis. Logistic regressions of mood and anxiety disorders were stratified by geographical area.

RESULTS

We found gender differences in mood disorders among urban (O.R. = 1.8, P < 0.0001) and metropolitan (O.R. = 1.6, P < 0.0001) but not among rural residents. Rural (O.R. = 0.2, P < 0.05) and urban (O.R. = 0.5, P < 0.05) African Americans were less likely to report mood disorders compared to rural and urban Whites. Similarly, we found gender differences in anxiety disorders among urban (O.R. = 2.0, P < 0.0001) and metropolitan (O.R. = 1.7, P < 0.0001), but not among rural residents.

CONCLUSION

Rural men reported more mood and anxiety disorders than urban men, thus erasing expected rural gender differences in these disorders. Rural male mood and anxiety disorders may be a function of diminishing resources (steady, high paying jobs) or increasing financial strain particularly among Whites, who comprise a majority of rural residents.

The role of federally funded health centers in serving the rural population

CONTEXT

Federally funded health centers attempt to improve rural health by reducing and eliminating access barriers to primary care services.

PURPOSE

This study compares rural health center patients with people in the general rural population for indicators of access to preventive services and health outcomes.

METHODS

Data from the annual reporting system for federally funded health centers, the 1999 Uniform Data System, and published national census data were used to provide sociodemographic comparisons. Selected health status indicators, preventive services utilization, and health outcomes were obtained from a survey of health center patients, and the results were compared with the National Health Interview Survey and National Vital Statistics.

FINDINGS

Unlike the nation's rural population, the majority of rural health center patients are of minority race/ethnicity, live at or below poverty, and are either uninsured or on Medicaid. Despite having higher prevalence of traditional access barriers than the general rural population, rural health center patients are significantly more likely to receive certain preventive services and also to experience lower rates of low birthweight, particularly for African American infants. However, rural health center patients are not more likely to have received influenza vaccination or up-to-date mammogram screening.

CONCLUSIONS

Health centers provide access to essential preventive care for many of the most vulnerable rural residents. A national strategy to expand the rural health center network will likely help to ensure improved health for the considerable proportion of rural residents who still lack access to appropriate services.

Metropolitan-nonmetropolitan differences in amount and type of mental health treatment

This article examines the extent to which, conditional on receiving treatment, the type of care differs across metropolitan and nonmetropolitan areas. Using data from the Medical Expenditure Panel Survey (MEPS), the findings indicate that nonmetro residents who obtained mental health care (n = 2,381) have fewer mental health visits in a calendar year than their metro counterparts after adjusting for individual-level characteristics. Although observed rates of hospitalization and contact with physicians are higher in nonmetro areas than metro areas, this difference is attributable primarily to compositional differences between metro and nonmetro residents.

Use, quality, and outcomes of care for mental health: the rural perspective

This review synthesizes empirical research in rural mental health services to identify current research priorities to improve the mental health of rural Americans. Using a conceptual framework of the multiple determinants of use, quality, and outcomes, the authors address (1) how key constructs are operationalized, (2) their theoretical influence on the care process, (3) reported differences for nonmetropolitan and metropolitan individuals or within nonmetropolitan individuals, (4) salient issues rural advocates have raised, and (5) key research questions. While the authors recognize that rurality is a useful political umbrella to organize advocacy efforts, they propose that investigators no longer employ any of the multiple definitions of the term in the literature as even intrarural comparisons have not provided compelling evidence about the underlying causes of observed outcomes differences. Until these underlying causes have been identified, it is difficult to determine which components of the nonmetropolitan service system need to be improved.

Quality of care in the rural context: a proposed research agenda

The quality of health care provided in rural areas is critical to rural patients and providers and will shape the future evolution of the rural health care system. Past research has focused almost exclusively on disease-specific comparisons of the quality of care rendered in rural as compared with urban areas, which ignores the fact that it is the functioning of the entire system of care that determines whether or not rural residents receive high quality care. Future research should focus on the functioning of the entire rural system of care. To accomplish this objective, we suggest investments in the following areas: the creation of a national database that collects information on the process and outcome of care delivered to rural populations, the incorporation of human factors research into our research agenda, greater emphasis on the importance of sociodemographic and cultural issues to the quality of care, and a shift to a focus on populations as opposed to individuals.

A rural mental health research agenda: defining context and setting priorities

This article provides a brief overview of research perspectives on rural mental health services and suggests the importance of building an agenda to bring coherence to studies in this area. The need for sound theory and methodology to guide research is emphasized. The importance of better conceptualization of the rural context as a focus of research is addressed, and 14 propositions concerning issues the authors think will advance rural research are presented. This article is intended to stimulate discussion about a research agenda that will lead to better understanding of rural needs for mental health services as well as more responsive service models.

Treatment of depression in rural Arkansas: policy implications for improving care

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.

Service use of rural and urban Medicaid beneficiaries suffering from depression: the role of supply

Despite the prevalence and consequence of depression in rural areas, the literature on treating depression in rural areas is relatively scarce and inconclusive. The use of mental health services by rural people suffering from depression and the role that supply may play in explaining these differences are not well understood. Understanding these issues for rural Medicaid beneficiaries is important as Medicaid managed carefor physical and behavioral health care is expanded to rural areas. This study compares the mental health service use of rural and urban Medicaid beneficiaries, ages 18 to 64, in Maine suffering from depression and examines what influence mental health and primary care supply have in explaining observed differences. Two models are used to estimate the use of ambulatory mental health services: (1) a logit likelihood estimate of whether a beneficiary uses any outpatient mental health services for depression; (2) an ordinary least squares regression estimating the number of annualized ambulatory mental health care visits among users. Rural beneficiaries suffering from depression have lower utilization than urban beneficiaries. Rural and urban Aid for Families with Dependent Children (AFDC)--and Supplemental Security Income (SSI)--beneficiaries suffering from depression rely more on mental health than on general health care providers to receive ambulatory mental health care. Rural beneficiaries (AFDC and SSI) rely relatively more on general health care providers than urban beneficiaries. Multivariate analysis suggests that mental health supply and patient-level factors, but not primary care supply, account for utilization differences. This article describes the need to better understand factors limiting participation of primary care providers and to study the role of supply across multiple states.

A primary care intervention for depression

To assess a guideline-based intervention's impact on depression care provided in rural vs. urban primary care settings, 12 community primary care practices (four rural, eight urban) were randomized to enhanced (i.e., intervention) and usual care study conditions. The study enrolled 479 depressed patients, with 432 (90.2 percent) completing telephone follow-up at six months. Multilevel analytic models revealed that rural enhanced care patients had 2.70 times the odds (P = 0.02) of rural usual care patients of taking a three-month course of antidepressant medication at recommended dosages in the six months following baseline; urban enhanced care patients had 2.43 times the odds compared with their urban usual care counterparts (P = 0.007). Rural enhanced care patients had 3.00 times the odds of rural usual care patients of making eight or more visits to a mental health specialist for counseling in the six months following baseline (P = 0.03). Comparisons of patients in enhanced care practices showed that rural enhanced care patients had 2.00 times the odds (P = 0.12) of urban enhanced care patients of making at least one visit to a mental health specialist for counseling in the six months following baseline and had comparable odds to urban enhanced care patients (odds ratio [OR] = 1.06, P = 0.77) of making eight or more visits to such specialists during that interval. The study's intervention improved the care received by both rural and urban depressed primary care patients. Moreover, the intervention's effect appears to have been greater in rural settings, particularly in terms of increasing depressed rural patients' use of mental health specialists for counseling.

Quality Enhancement Research Initiative in Mental Health

The Veterans Administration (VA) recently introduced its Quality Enhancement Research Initiative (QUERI) to facilitate the translation of best practices into usual clinical care. The Mental Health QUERI (MHQ) was charged with developing strategic plans for major depressive disorder (MDD) and schizophrenia. Twenty percent or more of VA service users are affected by 1 of these 2 disorders, disorders that often have a devastating impact on affected individuals. Despite the increasing availability of efficacious treatments for each disorder, substantial gaps remain between best practices and routine care. In this context, the MHQ identified steps critical to the success of a sustained process of rapid-cycle health care improvement for MDD and schizophrenia, including research initiatives to close gaps in knowledge of best treatment practices, demonstration projects to close gaps in practice and to expand understanding of effective strategies for implementing clinical guidelines, targeted enhancements of the VA information system, and research and dissemination initiatives to increase the availability of resources to support the accelerated incorporation of best practices into routine care. This article presents an overview of the elements in the initial MHQ strategic plans and the rationale behind them.

Designing and implementing a primary care intervention trial to improve the quality and outcome of care for major depression

Complex interventions, which have been shown to improve primary care depression outcomes, are difficult to disseminate to routine practice settings. To address this problem, we developed a brief intervention to train primary care physicians and nurses employed by the practice to improve the detection and management of major depression. Before recruitment began, the research team conducted academic detailing conference calls with primary care physicians and nurses, and provided in-person training with nurses and administrative staff. Administrative staff screened over 11,000 patients before their visits to identify those with probable major depression. Primary care physicians delegated increased responsibility to office nurses, who educated over 90% of patients about effective depression treatment and systematically monitored their progress over time. Early results demonstrate that community primary care practices can rebundle traditional team roles over the short-term to provide more systematic mental health treatment without adding additional personnel. A rigorous evaluation of this effort will reduce time-consuming, expensive, and often unsuccessful efforts to "translate" research intervention findings into everyday practice.

The impact of geographic accessibility on the intensity and quality of depression treatment

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.