Guideline-based antibiotics and mortality in healthcare-associated pneumonia.

BACKGROUND: Guidelines recommend administration of antibiotics with activity against methicillin-resistant Staphylococcus aureus (MRSA) and Pseudomonas aeruginosa for treatment of healthcare-associated pneumonia (HCAP). It is unclear if this therapy improves outcomes for patients with HCAP. OBJECTIVE: To determine if administration of guideline-similar therapy (GST) was associated with a reduction in 30-day mortality for HCAP. DESIGN: Multi-center retrospective study. PARTICIPANTS: Thirteen hundred and eleven admissions for HCAP in six Veterans Affairs Medical Centers. INTERVENTIONS: Each admission was classified as receiving GST, anti-MRSA or anti-pseudomonal components of GST, or other non-HCAP therapy initiated within 48 hours of hospitalization. Association between 30-day mortality and GST was estimated with a logistic regression model that included GST, propensity to receive GST, probability of recovering an organism from culture resistant to antibiotics traditionally used to treat community-acquired pneumonia (CAP-resistance), and a GST by CAP-resistance probability interaction. MAIN MEASURES: Odds ratios and 95% confidence intervals [OR (95% CI)] of 30-day mortality for patients treated with GST and predicted probability of recovering a CAP-resistant organism, and ratio of odds ratios [ROR (95% CI)] for treatment by CAP-resistance probability interaction. KEY RESULTS: Receipt of GST was associated with increased odds of 30-day mortality [OR = 2.11 (1.11, 4.04), P = 0.02)] as was the predicted probability of recovering a CAP-resistant organism [OR = 1.67 (1.26, 2.20), P < 0.001 for a 25% increase in probability]. An interaction between predicted probability of recovering a CAP-resistant organism and receipt of GST demonstrated lower mortality with GST at high probability of CAP resistance [ROR = 0.71(≤1.00) for a 25% increase in probability, P = 0.05]. CONCLUSIONS: For HCAP patients with high probability of CAP-resistant organisms, GST was associated with lower mortality. Consideration of the magnitude of patient-specific risk for CAP-resistant organisms should be considered when selecting HCAP therapy.

Predicting antibiotic resistance to community-acquired pneumonia antibiotics in culture-positive patients with healthcare-associated pneumonia.

OBJECTIVE: To develop and validate a model to predict resistance to community-acquired pneumonia antibiotics (CAP-resistance) among patients with healthcare-associated pneumonia (HCAP), and to compare the model's predictive performance to a model including only guideline-defined criteria for HCAP. DESIGN: Retrospective cohort study. SETTING: Six Veterans Affairs Medical Centers in the northwestern United States. PATIENTS: Culture-positive inpatients with HCAP. MEASUREMENTS: Patients were identified based upon guideline-defined criteria for HCAP. Relevant cultures obtained within 48 hours of admission were assessed to determine bacteriology and antibiotic susceptibility. Medical records for the year preceding admission were assessed to develop predictive models of CAP-resistance with logistic regression. The predictive performance of cohort-developed and guideline-defined models was compared. RESULTS: CAP-resistant organisms were identified in 118 of 375 culture-positive patients. Of guideline-defined criteria, CAP-resistance was associated (odds ratio (OR) [95% confidence interval (CI)]) with: admission from nursing home (2.6 [1.6-4.4]); recent antibiotic exposure (1.7 [1.0-2.8]); and prior hospitalization (1.6 [1.0-2.6]). In the cohort-developed model, CAP-resistance was associated with: admission from nursing home or recent nursing home discharge (2.3 [1.4-3.8]); positive methicillin-resistant Staphylococcus aureus (MRSA) history within 90 days of admission (6.4 [2.6-17.8]) or 91-365 days (2.3 [0.9-5.9]); cephalosporin exposure (1.8 [1.1-2.9]); recent infusion therapy (1.9 [1.0-3.5]); diabetes (1.7 [1.0-2.8]); and intensive care unit (ICU) admission (1.6 [1.0-2.6]). Area under the receiver operating characteristic curve (aROC [95% CI]) for the cohort-developed model (0.71 [0.65-0.77]) was significantly higher than for the guideline-defined model (0.63 [0.57-0.69]) (P = 0.01). CONCLUSIONS: Select guideline-defined criteria predicted CAP-resistance. A cohort-developed model based primarily on prior MRSA history, nursing home residence, and specific antibiotic exposures provided improved prediction of CAP-resistant organisms in HCAP.

Gender differences in veterans health administration mental health service use: effects of age and psychiatric diagnosis.

PURPOSE: The objective of this study was to compare gender differences in mental health disease burden and outpatient mental health utilization among veterans utilizing Veterans Health Administration (VHA) mental health services in fiscal year 1999 (FY99), after the first Gulf War and significant restructuring of VHA services. METHODS: We used logistic regression to examine the relationships among gender, age, diagnostic groups, and utilization of mental health and specialty mental health services in a national sample of veterans. The sample included 782,789 veterans with at least 1 outpatient visit in the VHA in FY99 associated with a mental health or substance abuse (SA) diagnosis. Subgroup analyses were performed for 4 diagnostic categories: 1) posttraumatic stress disorder (PTSD), 2) SA disorders, 3) bipolar and psychotic disorders, and 4) mood and anxiety disorders. MAIN FINDINGS: Younger women veterans (<35 years old) were significantly less likely and older women (> or =35) more likely to use any mental health services in comparison with their male counterparts. Similar findings were observed for younger women diagnosed with SA or mood and anxiety disorders, but not among veterans with PTSD or bipolar and psychotic disorders, among whom no there were no gender or age differences. In the case of specialized services for SA or PTSD, women younger than 55 with SA or PTSD were significantly less likely to use services than men. CONCLUSION: Women veterans underutilized specialty mental health services in relation to men but receipt of mental health care overall in FY99 varied by age and diagnosis. Examining gender differences alone, without taking other factors into account, may not provide an adequate picture of women veterans' current mental health service needs.

Efficacy of oral beta-lactam versus non-beta-lactam treatment of uncomplicated cellulitis.

BACKGROUND: Preferred therapy for purulent skin and soft tissue infections is incision and drainage, but many infections cannot be drained. Empiric therapies for these infections are ill-defined in the era of community-acquired methicillin-resistant Staphylococcus aureus. METHODS: A multicenter retrospective cohort study of outpatients treated for cellulitis was conducted to compare clinical failure rates of oral beta-lactam and non-beta-lactam treatments. Exclusion criteria included purulent infection requiring incision and drainage, complicated skin and soft tissue infection, chronic ulceration, and intravenous antibiotics. Failure rates were compared using logistic regression to adjust for both covariates associated with failure and a propensity score for beta-lactam treatment. RESULTS: Of 2977 patients, 861 met inclusion criteria and were classified by treatment: beta-lactam (n = 631) or non-beta-lactam therapy (n = 230). Failure rates were 14.7% versus 17.0% (odds ratio [OR] 0.85, 95% confidence interval [CI], 0.56-1.31) for beta-lactam and non-beta-lactam therapy, respectively. Failure was associated with: age (P = .02), acute symptom severity (P = .03), animal bites (P = .03), Charlson score > 3 (P = .02), and histamine-2 receptor antagonist use (P = .09). Relative efficacy of beta-lactam therapy was greater after adjustment for factors associated with failure but remained statistically insignificant (adjusted OR 0.81, 95% CI, 0.53-1.24); adjusted including propensity score covariate (OR 0.71, 95% CI, 0.45-1.13). Discontinuation due to adverse effects differed between beta-lactam (0.5%) and non-beta-lactam (2.2%) therapies (P = .04). CONCLUSION: There was no significant difference in clinical failure between beta-lactam and non-beta-lactam antibiotics for the treatment of uncomplicated cellulitis. Increased discontinuation due to adverse events with non-beta-lactam therapy was observed.

Racial differences in the evaluation and treatment of hepatitis C among veterans: a retrospective cohort study.

OBJECTIVES: We examined the association between race and hepatitis C virus (HCV) evaluation and treatment of veterans in the Northwest Network of the Department of Veterans Affairs (VA). METHODS: In our retrospective cohort study, we used medical records to determine antiviral treatment of 4263 HCV-infected patients from 8 VA medical centers. Secondary outcomes included specialty referrals, laboratory evaluation, viral genotype testing, and liver biopsy. Multiple logistic regression was used to adjust for clinical (measured through laboratory results and International Classification of Diseases, Ninth Revision, codes) and sociodemographic factors. RESULTS: Blacks were less than half as likely as Whites to receive antiviral treatment (odds ratio [OR]=0.38; 95% confidence interval [CI]=0.23, 0.63). Both had similar odds of referral and liver biopsy. However, Blacks were significantly less likely to have complete laboratory evaluation (OR=0.67; 95% CI=0.52, 0.88) and viral genotype testing (OR=0.68; 95% CI=0.51, 0.90). CONCLUSIONS: Race is associated with receipt of medical care for various medical conditions. Further investigation is warranted to help understand whether patient preference or provider bias may explain why HCV-infected Blacks were less likely to receive medical care than Whites.

Outpatient treatment engagement and abstinence rates following inpatient opioid detoxification.

Many patients with chronic opioid dependence are referred to drug-free outpatient treatment following inpatient detoxification even though successful outpatient treatment engagement and abstinence from opioids occur only in a minority of cases. This retrospective cohort analysis of medical records documents the post-discharge outcome in a treatment setting that maximizes the support during transition to abstinence-oriented outpatient care, with comprehensive social, medical and mental health services, including the availability of naltrexone. Participants were male veterans (N = 112) admitted at an urban VA medical center. Most patients (78%) successfully completed acute detoxification, 49% initiated naltrexone, and 76% accepted a VA aftercare plan. At 90-day follow-up, only 22% remained in aftercare, and < 3% had toxicology-verified abstinence from opioids. At one-year follow-up, 1 out of 5 had been readmitted for detoxification and 4.5% had died. Most patients successfully detoxified from opioids, but very few remained engaged and stabilized in abstinence-oriented outpatient treatment.

Low serum testosterone and mortality in male veterans.

BACKGROUND: Low serum testosterone is a common condition in aging associated with decreased muscle mass and insulin resistance. This study evaluated whether low testosterone levels are a risk factor for mortality in male veterans. METHODS: We used a clinical database to identify men older than 40 years with repeated testosterone levels obtained from October 1, 1994, to December 31, 1999, and without diagnosed prostate cancer. A low testosterone level was a total testosterone level of less than 250 ng/dL (<8.7 nmol/L) or a free testosterone level of less than 0.75 ng/dL (<0.03 nmol/L). Men were classified as having a low testosterone level (166 [19.3%]), an equivocal testosterone level (equal number of low and normal levels) (240 [28.0%]), or a normal testosterone level (452 [52.7%]). The risk for all-cause mortality was estimated using Cox proportional hazards regression models, adjusting for demographic and clinical covariates over a follow-up of up to 8 years. RESULTS: Mortality in men with normal testosterone levels was 20.1% (95% confidence interval [CI], 16.2%-24.1%) vs 24.6% (95% CI, 19.2%-30.0%) in men with equivocal testosterone levels and 34.9% (95% CI, 28.5%-41.4%) in men with low testosterone levels. After adjusting for age, medical morbidity, and other clinical covariates, low testosterone levels continued to be associated with increased mortality (hazard ratio, 1.88; 95% CI, 1.34-2.63; P<.001) while equivocal testosterone levels were not significantly different from normal testosterone levels (hazard ratio, 1.38; 95% CI, 0.99%-1.92%; P=.06). In a sensitivity analysis, men who died within the first year (50 [5.8%]) were excluded to minimize the effect of acute illness, and low testosterone levels continued to be associated with elevated mortality. CONCLUSIONS: Low testosterone levels were associated with increased mortality in male veterans. Further prospective studies are needed to examine the association between low testosterone levels and mortality.

Development and validation of a psychiatric case-mix system.

BACKGROUND: Although difficulties in applying risk-adjustment measures to mental health populations are increasingly evident, a model designed specifically for patients with psychiatric disorders has never been developed. OBJECTIVE: Our objective was to develop and validate a case-mix classification system, the "PsyCMS," for predicting concurrent and future mental health (MH) and substance abuse (SA) healthcare costs and utilization. SUBJECTS: Subjects included 914,225 veterans who used Veterans Administration (VA) healthcare services during fiscal year 1999 (FY99) with any MH/SA diagnosis (International Classification of Diseases, 9th Revision, Clinical Modification [ICD-9-CM] codes 290.00-312.99, 316.00-316.99). METHODS: We derived diagnostic categories from ICD-CM codes using Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition definitions, clinical input, and empiric analyses. Weighted least-squares regression models were developed for concurrent (FY99) and prospective (FY00) MH/SA costs and utilization. We compared the predictive ability of the PsyCMS with several case-mix systems, including adjusted clinical groups, diagnostic cost groups, and the chronic illness and disability payment system. Model performance was evaluated using R-squares and mean absolute prediction errors (MAPEs). RESULTS: Patients with MH/SA diagnoses comprised 29.6% of individuals seen in the VA during FY99. The PsyCMS accounted for a distinct proportion of the variance in concurrent and prospective MH/SA costs (R=0.11 and 0.06, respectively), outpatient MH/SA utilization (R=0.25 and 0.07), and inpatient MH/SA utilization (R=0.13 and 0.05). The PsyCMS performed better than other case-mix systems examined with slightly higher R-squares and lower MAPEs. CONCLUSIONS: The PsyCMS has clinically meaningful categories, demonstrates good predictive ability for modeling concurrent and prospective MH/SA costs and utilization, and thus represents a useful method for predicting mental health costs and utilization.

Randomized trial of onsite versus referral primary medical care for veterans in addictions treatment.

BACKGROUND: Patients presenting for treatment of substance use disorders (SUDs) often exhibit medical comorbidities that affect functional health status and healthcare costs. Providing primary care within addictions clinics (onsite care) may improve medical and SUD treatment outcomes in this population. OBJECTIVE: The objective of this study was to compare outcomes among Veterans' Administration (VA) patients who receive medical care within the SUD clinic and those referred to a general medicine clinic at the same facility. METHODS: Veterans entering SUD treatment with a chronic medical condition and no current primary care were randomized to receive primary medical care: 1) onsite in the VA SUD clinic (n = 358), or 2) in the VA general internal medicine clinic (n = 362). Subjects were assessed at baseline and at 3, 6, and 12 months postrandomization. Intention-to-treat analyses used random-effects regression. MEASURES: Measures included SF-36 Physical and Mental Component Summaries (PCS, MCS), VA service utilization, SUD treatment retention, Addiction Severity Index (ASI) scores, 30-day abstinence, and total VA healthcare costs. RESULTS: Over the study year, patients assigned to onsite care were more likely to attend primary care (adjusted odds ratio [OR] = 2.20; 95% confidence interval [CI] = 1.53-3.15) and to remain engaged in SUD treatment at 3 months (adjusted OR = 1.36; 1.00-1.84). Overall, outcomes on the MCS (but not the PCS) and the ASI improved significantly over time but did not differ by treatment condition. Total VA healthcare costs did not differ reliably across conditions. CONCLUSIONS: Compared with referral care, providing primary care within a VA addiction clinic increased primary care access and initial SUD treatment retention but showed no effect on overall health status or costs.

Cost effectiveness of testing strategies for chronic hepatitis C.

OBJECTIVE: This paper compares nine strategies for determining hepatitis C antibody and viral status. They combine two tests for antibodies (enzyme immunoassays (EIA), recombinant immunoblot assays (RIBA)) and one for viremia (reverse transcription polymerase chain reaction (PCR)). Using optical density to divide EIA results into three categories (high positive, low positive, negative) was also considered. METHODS: Decision analysis compared strategies on cost as well as sensitivity and specificity with regard to antibody and viral status. Parameters in the decision tree included antibody prevalence, proportion viremic, sensitivity, specificity, and cost of individual tests. RESULTS: The two best strategies are EIA followed by PCR (EIA-->PCR); and EIA with three levels of optical density (EIA-OD), followed by RIBA for EIA-OD low positives, and then PCR for all positives (EIA-OD-->RIBA-->PCR). EIA-->PCR has equal viral sensitivity, slightly lower cost, slightly higher antibody sensitivity, but lower antibody specificity compared to EIA-OD-->RIBA-->PCR. The cost per false antibody positive avoided using EIA-OD-->RIBA-->PCR rather than EIA-->PCR is $36 when prevalence is 5%, and $193 when prevalence is 50%. Using EIA-OD-->RIBA-->PCR rather than EIA-->PCR results in 112 false antibody positives avoided for every true antibody positive missed when prevalence is 5%; this ratio is 18:1 when prevalence is 25%; and 6:1 when prevalence is 50%. CONCLUSIONS: EIA-OD-->RIBA-->PCR is the best choice when prevalence in the tested group is below 20%. As prevalence increases, the choice of EIA-OD-->RIBA-->PCR versus EIA-->PCR will depend on the relative importance of avoiding false antibody positives versus missing true antibody positives. Our analysis makes explicit the magnitude of this trade-off.

Low testosterone levels predict incident depressive illness in older men: effects of age and medical morbidity.

OBJECTIVE: Prior studies found that chronic low testosterone levels are associated with an increased risk of depression. We investigated whether low testosterone levels in older men predict depressive illness over 2 years, while controlling for age and medical morbidity. METHOD: Participants were 748 men, aged 50 years or older, without prior ICD-9-diagnosed depressive illness, with a testosterone level obtained between 1995 and 1997. Measures were age, mean total testosterone levels (low: < or = 2.5 ng/mL), medical morbidity, and incidence and time to depressive illness. RESULTS: Men with low testosterone levels had a greater 2-year incidence of depressive illness (18.5% vs. 10.4%, df = 1, p = .006) and a shorter time to onset of depressive illness (log-rank chi(2) = 8.1, df = 1, p = .004). The unadjusted hazard ratio (HR) for depressive illness in men with low testosterone levels was 1.9 (95% confidence interval [CI] = 1.2 to 3.0, p = .005). After adjustment for age and medical morbidity, men with low testosterone levels continued to have a shorter time to depressive illness (adjusted HR = 2.1; 95% CI = 1.3 to 3.2, p = .002). Due to a significant interaction between age and medical morbidity, we conducted stratified Cox regression analyses and found that low testosterone levels and high medical morbidity or an age of 50 to 65 years were associated with increased depressive illness (p = .002). CONCLUSION: Low testosterone levels are associated with an earlier onset and greater incidence of depressive illness. Men with low testosterone levels who had high medical morbidity or were aged 50 to 65 years had an increased risk for depressive illness. Further prospective studies are needed to examine the role of testosterone in depressive illness in older men.

The Addiction Severity Index medical and psychiatric composite scores measure similar domains as the SF-36 in substance-dependent veterans: concurrent and discriminant validity.

BACKGROUND: Recently attention has focused on the assessment of functional health status in substance-dependent individuals. The addiction severity index (ASI) is a widely used assessment instrument that includes scales to reflect current medical and psychiatric status. This study examines the concurrent validity of these ASI composite scores in relation to the short form 36-item health survey (SF-36), a well-established measure of health-related quality of life/functional health status. METHODS: Veterans (n=674) were assessed at admission to substance dependence treatment. Correlations were performed between ASI composite scores and SF-36 scales and the physical and mental summary components (PSC and MSC, respectively). Areas under receiver operating characteristic (ROC) curves determined the descriminative ability of the ASI composites to ascertain impairment. RESULTS: The ASI medical composite score demonstrated robust correlations with the four SF-36 scales that relate to physical health and with the PCS. The ASI psychiatric composite score had robust correlations with the four SF-36 scales related to mental health and with the mental component summary (MCS). ROC curves indicated that the ASI medical (AUC=0.83) and psychiatric composites (AUC=0.90) accurately detected subjects with impairment. CONCLUSIONS: ASI medical and psychiatric composite scores provide effective initial screening for patients with impaired functional status as measured by the corresponding SF-36 component summary scores.

Use of electronic medical record data for quality improvement in schizophrenia treatment.

An understanding of the strengths and limitations of automated data is valuable when using administrative or clinical databases to monitor and improve the quality of health care. This study discusses the feasibility and validity of using data electronically extracted from the Veterans Health Administration (VHA) computer database (VistA) to monitor guideline performance for inpatient and outpatient treatment of schizophrenia. The authors also discuss preliminary results and their experience in applying these methods to monitor antipsychotic prescribing using the South Central VA Healthcare Network (SCVAHCN) Data Warehouse as a tool for quality improvement.

Hepatitis C tested prevalence and comorbidities among veterans in the US Northwest.

GOALS: (1) Investigate the epidemiology of hepatitis C virus infection among patients seen in the Veterans Administration Northwest Network; (2) examine time trends in testing practices and results; and (3) estimate the prevalence of hepatitis C virus infection among active patients. BACKGROUND: Hepatitis C virus infection causes chronic hepatitis and cirrhosis and is a leading cause of end-stage liver disease. Hepatitis C virus antibodies are estimated to be present in 1.8% of the US population, but reports of its prevalence among US veterans range from 1.7 to 35%. STUDY: Retrospective review of computerized medical records of veterans tested for hepatitis C from October 1994 through December 2000 (n = 37,938) at 8 Northwest Veterans Administration Medical Centers. RESULTS: Among tested veterans, 8230 (21.7%) had evidence of hepatitis C virus infection. The number of patients tested increased annually from 2335 to 18,191, while the proportion with first-time positive hepatitis C test results decreased from 35 to 10%. This drop in tested prevalence was associated with a shift away from testing individuals at highest risk--those with positive hepatitis B serostatus, repeatedly elevated alanine transaminase levels, and drug use disorder diagnoses. We estimate that 11.4% of the Northwest Network veteran users are hepatitis C virus seropositive, with a lower bound of 4.0% and upper bound of 19.5%. CONCLUSIONS: Although estimates of hepatitis C virus infection rates among veteran users of the Veterans Administration system remain higher than those for the general population, changes in testing practice make generalizations from earlier studies hazardous.

Increased incidence of diagnosed depressive illness in hypogonadal older men.

CONTEXT: Age-associated hypogonadism (testosterone deficit) occurs in 30% of men after the age of 55; it is associated with decreased muscle mass, bone mineral density, and libido, and with anorexia, fatigue, and irritability. Although some of these symptoms overlap with those of depression, the association between the 2 disorders is unclear. OBJECTIVE: To determine if hypogonadal men have an increased incidence of depressive illness compared with eugonadal men. DESIGN: Historical cohort study using computerized medical records, followed by a manual medical record review. SETTING: Veterans Affairs Puget Sound Health Care System. PARTICIPANTS: Two hundred seventy-eight men 45 years and older, without prior diagnosed depressive illness and with consistently normal or low testosterone levels (total testosterone level < or =200 ng/dL [< or =6.94 nmol/L]; or free testosterone level < or =0.9 ng/dL [< or =0.03 nmol/L]) at baseline and during a 2-year follow-up period. MAIN OUTCOME MEASURES: Incidence of, and time to, a depression diagnosis. RESULTS: The 2-year incidence of diagnosed depressive illness was 21.7% in hypogonadal men vs 7.1% in others (chi2(1)=6.0, P=.01). A Kaplan-Meier survival analysis showed a significant difference between hypogonadal and eugonadal men in time to diagnosed depression (log-rank test chi2(1)=6.9, P=.008). We used Cox proportional hazards regression models to examine the association of hypogonadism and time to depression diagnosis, adjusting for age, race, number of clinic visits, alcohol use disorders, prostate cancer, and overall medical comorbidity. The unadjusted hazard ratio for depression with hypogonadism was 3.5 (95% confidence interval, 1.3-9.4) (P=.01). Controlling for all covariates, hypogonadism remained significantly associated with depression (adjusted hazard ratio, 4.2; 95% confidence interval, 1.5-12.0) (P=.008). CONCLUSIONS: Hypogonadal men showed an increased incidence of depressive illness and a shorter time to diagnosis of depression. Further prospective studies are needed to confirm these preliminary findings and to clarify the role of testosterone in the treatment of depressive illness in older men.

Case-mix adjusting performance measures in a veteran population: pharmacy- and diagnosis-based approaches.

OBJECTIVE: To compare the rankings for health care utilization performance measures at the facility level in a Veterans Health Administration (VHA) health care delivery network using pharmacy- and diagnosis-based case-mix adjustment measures. DATA SOURCES/STUDY SETTING: The study included veterans who used inpatient or outpatient services in Veterans Integrated Service Network (VISN) 20 during fiscal year 1998 (October 1997 to September 1998; N = 126,076). Utilization and pharmacy data were extracted from VHA national databases and the VISN 20 data warehouse. STUDY DESIGN: We estimated concurrent regression models using pharmacy or diagnosis information in the base year (FY1998) to predict health service utilization in the same year. Utilization measures included bed days of care for inpatient care and provider visits for outpatient care. PRINCIPAL FINDINGS: Rankings of predicted utilization measures across facilities vary by case-mix adjustment measure. There is greater consistency within the diagnosis-based models than between the diagnosis- and pharmacy-based models. The eight facilities were ranked differently by the diagnosis- and pharmacy-based models. CONCLUSIONS: Choice of case-mix adjustment measure affects rankings of facilities on performance measures, raising concerns about the validity of profiling practices. Differences in rankings may reflect differences in comparability of data capture across facilities between pharmacy and diagnosis data sources, and unstable estimates due to small numbers of patients in a facility.

Smoking cessation treatment among dually diagnosed individuals: preliminary evaluation of different pharmacotherapies.

This descriptive, observational pilot study evaluated a smoking cessation intervention using open-label bupropion and nicotine replacement within an addiction treatment center for patients with high rates of comorbid psychiatric diagnoses. Participants were 115 veterans receiving substance abuse treatment at a Veterans Administration outpatient program who voluntarily sought smoking cessation treatment. Three fourths of participants had a psychiatric diagnosis in addition to substance dependence (i.e., dual diagnosis). The intervention consisted of a weekly smoking cessation therapy group and pharmacotherapy as determined by participant and clinician preference (none, nicotine replacement only, bupropion only, or combined nicotine and bupropion). A total of 47 participants (40.9%) completed four group smoking cessation sessions, and 17 (14.8%) completed eight sessions. Of these participants, 27 (23.5%) had breath carbon monoxide (CO) levels <9 ppm (indicating short-term abstinence) at session 4, and nine (7.8%) had CO levels <9 ppm at session 8. Participants who received nicotine replacement alone or with bupropion attended more sessions than did subjects who did not receive nicotine replacement. Participants receiving combined medications had greater reductions in CO levels at session 4 than did the other participants. There was no evidence of increased use of other substances during smoking cessation treatment. These findings indicate that many dually diagnosed individuals are willing to attempt smoking cessation with appropriate pharmacotherapy and achieve reductions in CO measures, but only minimal success was observed with respect to cessation. Additional research is needed to assess medication effects in randomized trials, to explore effects of more intensive treatments, and to assess possible harm reduction from smoking interventions within this population.

How well do automated performance measures assess guideline implementation for new-onset depression in the Veterans Health Administration?

BACKGROUND: Because most guidelines focus on patients with new episodes of depression, algorithms to identify such samples must be accurate. This study examined whether the Veterans Health Administration's (VHA's) electronic medical record database could identify valid cases of new-onset depression. RESULTS: Of 109 individuals receiving outpatient care at one of three VHA medical centers who were identified with newly diagnosed depressive disorder, 39 (35.8%) actually had documentation of depression diagnosis and antidepressant prescription or other treatment within the previous six months. Good to excellent agreement was found between indicators of guideline-concordant care using automated and manual chart review methods. DISCUSSION: Electronic medical records can validly identify many cases of new-onset depression, although with a higher-than-anticipated rate of false-positives. Half of depressed veterans received care consistent with clinical guidelines for psychopharmacological intervention, regardless of data source. SUMMARY: Clinical managers, administrators, and policy advocates must weigh the cost-benefit of administrative versus medical record reviews to assess quality.

Predicting costs of care using a pharmacy-based measure risk adjustment in a veteran population.

BACKGROUND: Although most widely used risk adjustment systems use diagnosis data to classify patients, there is growing interest in risk adjustment based on computerized pharmacy data. The Veterans Health Administration (VHA) is an ideal environment in which to test the efficacy of a pharmacy-based approach. OBJECTIVE: To examine the ability of RxRisk-V to predict concurrent and prospective costs of care in VHA and compare the performance of RxRisk-V to a simple age/gender model, the original RxRisk, and two leading diagnosis-based risk adjustment approaches: Adjusted Clinical Groups and Diagnostic Cost Groups/Hierarchical Condition Categories. METHODS: The study population consisted of 161,202 users of VHA services in Washington, Oregon, Idaho, and Alaska during fiscal years (FY) 1996 to 1998. We examined both concurrent and predictive model fit for two sequential 12-month periods (FY 98 and FY 99) with the patient-year as the unit of analysis, using split-half validation. RESULTS: Our results show that the Diagnostic Cost Group /Hierarchical Condition Categories model performs best (R2 = 0.45) among concurrent cost models, followed by ADG (0.31), RxRisk-V (0.20), and age/sex model (0.01). However, prospective cost models other than age/sex showed comparable R2: Diagnostic Cost Group /Hierarchical Condition Categories R2 = 0.15, followed by ADG (0.12), RxRisk-V (0.12), and age/sex (0.01). CONCLUSIONS: RxRisk-V is a clinically relevant, open source risk adjustment system that is easily tailored to fit specific questions, populations, or needs. Although it does not perform better than diagnosis-based measures available on the market, it may provide a reasonable alternative to proprietary systems where accurate computerized pharmacy data are available.