Access to substance abuse services in rural areas.
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Biomedical subjects
Publications and source records attributed to J Fortney.
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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.
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.
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.
The purpose of this study was to assess the utility of using maternal assessments of infant birth size as proxy measures for birth weight in Ecuador, a country in which a sizeable proportion of births take place at home, where birth weight is typically not recorded. Four thousand and seventy-eight women who experienced a live singleton birth between January 1992 and August 1994 were interviewed in the Ecuador Demographic and Maternal-Child Health Survey. All women were asked if their child was weighed at birth, his/her weight, and what they considered to be his/her birth size relative to other newborns. The consistency between birth size and birth weight measures was assessed, and the differences between infants with and without reported birth weights were explored. The authors conclude that maternal assessments of birth size are poor proxy indicators of birth weight. Estimates of low birth weight based on maternal assessments of birth size as very small should be recognized as underestimates of the actual prevalence of low birth weight. Moreover, infants for whom birth weights are missing should not be considered similar to those for whom weight was reported. Those without reported birth weights are more likely to be low birth weight. Thus, relying solely on reports of numeric birth weight will underestimate the prevalence of low birth weight.
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.
Optimizing chemotherapeutic drug delivery strategies relies, in part, on identification of the most clinically effective sequence, dose, and duration of drug exposure. The combination of dose intensive etoposide (VP-16) followed by cyclophosphamide has clinical efficacy in the treatment of advanced breast cancer. However, molecular mechanisms that underlie the effectiveness of this combination of chemotherapeutic agents have not been investigated. In this study we investigated regulation of BAX and BCL-2 expression by VP-16 and cyclophosphamide as a potential mechanism for the induction of breast cancer cell death induced by this regimen. There was a dose and time dependent increase in BAX expression in the breast cancer cell lines MCF-7, MDA-MB-435S, and MDA-MB-A231 following in vitro treatment with 50-100 microM VP-16. Elevation of BAX protein expression in the presence of VP-16 alone did not correlate with reduced viability or induction of apoptosis in MCF-7, MDA-MB-435S, or MDA-MB-A231. VP-16 did effectively block the breast cancer cell lines evaluated (MCF-7 and MDA-MB-435S) at G2/M phase of the cell cycle, confirming activity of the drug in vitro. MCF-7 and MDA-MB-435S cells that were pre-treated with VP-16 and subsequently exposed to 1.0-12.0 microg/ml 4-hydroperoxycyclophosphamide (4HC), an active metabolite of cyclophosphamide, had markedly reduced viability when compared to matched controls treated with either VP-16 or 4HC individually. Consistent with this loss of viability, exposure of all three cell lines to the combination of VP-16 and 4HC resulted in higher BAX protein levels than those observed following treatment with either single agent. This combination of chemotherapeutic agents also resulted in reduced BCL-2 expression. These observations suggest that combination chemotherapy may derive its efficacy, in part, through coordinated regulation of specific gene products associated with apoptosis. Characterization of molecular events that underlie susceptibility of specific tumor cells to combination chemotherapeutic regimens may lead to additional improvements in treatment strategies for this disease.
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.
OBJECTIVE: To determine whether frequent follow-up visits for intrauterine device (IUD) users prevents the development of pelvic inflammatory disease (PID). STUDY DESIGN: A prospective, cohort design was used to study 1,713 women who received an IUD in 1992 in Mexico. They were divided into two different follow-up regimens and were asked to return for either two or four revisits in the first year after insertion. The main outcome measures included incidence of PID and asymptomatic/symptomatic lower genital tract infections. Time to detection of lower genital tract infections was measured in a proportional hazards regression model; this analysis achieved 90% power to detect differences between the regimens. RESULTS: The two regimens were nearly identical in terms of PID incidence. The incidence rates for asymptomatic and symptomatic lower genital tract infection were slightly higher in the four-visit regimen; however, the incidence rate ratios were not statistically elevated: 1.41 (0.77-2.56) and 1.23 (0.67-2.27), respectively. In the regression, the variable denoting follow-up regimen was not associated with time to detection of lower genital tract infection. CONCLUSION: More follow-up visits for IUD users provide no benefit in terms of preventing PID or progression toward the disease.
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.
OBJECTIVE: Treatment patterns in a national sample of hospitalized women veterans diagnosed with alcohol dependence were identified with the goal of improving health services to women veterans with alcohol-related disorders. METHODS: Information from VA's patient treatment file for fiscal year 1993 was used to identify 854 women veterans diagnosed with alcohol dependence. Of that group, 546 received a primary diagnosis of alcohol dependence, and 308 received a secondary diagnosis of alcohol dependence after they sought treatment for other health problems. Chi square tests and multivariate logistic regression analyses were used to examine relationships between the sociodemographic profiles of these women and the types of services they received. RESULTS: The study population's largest age group (49 percent) was 30 to 39 years old. Fifty-two percent of the women were divorced or separated, and 62 percent were Caucasian. The overwhelming majority of comorbid diagnoses were of psychiatric disorders. Overall, only 47 percent of the 854 patients received formal treatment for their alcohol disorder, and only 34 percent completed alcohol treatment. Women over age 60 were significantly less likely than women in other age groups to enter or complete formal treatment. Native-American women were significantly more likely than Caucasians or African Americans to receive formal alcohol treatment services. CONCLUSIONS: The results indicate a need for targeting interventions more effectively in certain groups of women veterans diagnosed with alcoholism. Low completion rates also suggest a need for greater incentives for patients to complete treatment programs.
OBJECTIVE: The purpose of this research was to control for self-selection bias in the evaluation of Alcoholics Anonymous (AA) as aftercare treatment. Observational studies of alcoholism aftercare treatment are subject to selection bias whenever the self-selection process results in important differences in unobserved casemix dimensions between treatment groups. METHOD: The sample included 118 male veterans discharged from inpatient alcohol treatment, 85% of whom were followed-up at 3 months. Drinking outcomes were measured by self-reported abstinence in the third month after discharge. The aftercare treatment effect of AA was estimated using standard logistic regression analysis and instrumental variables analysis. Instruments included the subject's ability to drive oneself to AA meetings and the presence/absence of an AA meeting in the subject's town of residence. A Hausman exogeniety test was used to determine whether the standard logistic regression results were subject to self-selection bias. RESULTS: Estimates from the standard logistic regression yielded a positive (OR = 3.7) and significant (p = .018) treatment effect for AA attendance. However, the instrumental variables analysis yielded a smaller (OR* = 1.7) and insignificant treatment effect estimate (p = .782). The Hausman exogeniety test indicated that the treatment effect estimate from the standard logistic regression was subject to significant self-selection bias (chi2 = 83.9, 1 df, p <.01). CONCLUSIONS: The AA aftercare treatment effect observed in this sample was due to differences in unobserved casemix factors between the treatment groups. Results suggest that previous AA aftercare research may have also been subject to self-selection bias. Researchers of substance abuse outcomes should consider analyzing nonexperimental data using instrumental variables methodologies.
BACKGROUND: A naloxone infusion is effective in reducing epidural and intrathecal opioid-related side effects. The use of naloxone infusion concomitant with intravenous morphine patient-controlled analgesia (PCA) has not been evaluated, probably because of an expected direct antagonism of the systemic opioid effect. The authors compared the incidence of morphine-related side effects and the quality of analgesia from two small doses of naloxone infusion. METHODS: Sixty patients classified as American Society of Anesthesiologists physical status 1, 2, or 3 who were scheduled for total abdominal hysterectomies were enrolled in the study. Patients received a standardized general anesthetic. In the postanesthetic care unit, patients received morphine as a PCA. They were randomized to receive either 0.25 microg x kg(-1) x h(-1) naloxone (low dose), 1 microg x kg(-1) x h(-1) (high dose), or saline (placebo) as a continuous infusion. Verbal rating scores for pain, nausea, vomiting, and pruritus; sedation scores; requests for antiemetic; and morphine use were recorded for 24 h. Blood pressure, respiratory rate, and oxyhemoglobin saturation were also monitored. RESULTS: Sixty patients completed the study. Both naloxone doses were equally effective in reducing the incidence of nausea, vomiting, and pruritus compared with placebo (P < 0.05 by the chi-squared test). There was no difference in the verbal rating scores for pain between the groups. The cumulative morphine use was the lowest in the low-dose group (42.3 +/- 24.1 mg; means +/- SD) compared with the placebo (59.1 +/- 27.4 mg) and high-dose groups (64.7 +/- 33.0 mg) at 24 h (P < 0.05 by analysis of variance). There was no incidence of respiratory depression (<8 breaths/min) and no difference in sedation scores, antiemetic use, respiratory rate, and hemodynamic parameters among the groups. CONCLUSIONS: Naloxone is effective in preventing PCA opioid-related side effects. Naloxone infusion at 0.25 microg x kg(-1) x h(-1) not only attenuates these side effects but appears to reduce postoperative (beyond 4-8 h) opioid requirements. This dosing regimen can be prepared with 400 microg naloxone in 1,000 ml crystalloid given in 24 h to a patient weighing 70 kg.
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