Predicting hospital-onset Clostridium difficile using patient mobility data: A network approach.

OBJECTIVE: To examine the relationship between unit-wide Clostridium difficile infection (CDI) susceptibility and inpatient mobility and to create contagion centrality as a new predictive measure of CDI. DESIGN: Retrospective cohort study. METHODS: A mobility network was constructed using 2 years of patient electronic health record data for a 739-bed hospital (n = 72,636 admissions). Network centrality measures were calculated for each hospital unit (node) providing clinical context for each in terms of patient transfers between units (ie, edges). Daily unit-wide CDI susceptibility scores were calculated using logistic regression and were compared to network centrality measures to determine the relationship between unit CDI susceptibility and patient mobility. RESULTS: Closeness centrality was a statistically significant measure associated with unit susceptibility (P < .05), highlighting the importance of incoming patient mobility in CDI prevention at the unit level. Contagion centrality (CC) was calculated using inpatient transfer rates, unit-wide susceptibility of CDI, and current hospital CDI infections. The contagion centrality measure was statistically significant (P < .05) with our outcome of hospital-onset CDI cases, and it captured the additional opportunities for transmission associated with inpatient transfers. We have used this analysis to create easily interpretable clinical tools showing this relationship as well as the risk of hospital-onset CDI in real time, and these tools can be implemented in hospital EHR systems. CONCLUSIONS: Quantifying and visualizing the combination of inpatient transfers, unit-wide risk, and current infections help identify hospital units at risk of developing a CDI outbreak and, thus, provide clinicians and infection prevention staff with advanced warning and specific location data to inform prevention efforts.

Visualizing nationwide variation in medicare Part D prescribing patterns.

BACKGROUND: To characterize the regional and national variation in prescribing patterns in the Medicare Part D program using dimensional reduction visualization methods. METHODS: Using publicly available Medicare Part D claims data, we identified and visualized regional and national provider prescribing profile variation with unsupervised clustering and t-distributed stochastic neighbor embedding (t-SNE) dimensional reduction techniques. Additionally, we examined differences between regionally representative prescribing patterns for major metropolitan areas. RESULTS: Distributions of prescribing volume and medication diversity were highly skewed among over 800,000 Medicare Part D providers. Medical specialties had characteristic prescribing patterns. Although the number of Medicare providers in each state was highly correlated with the number of Medicare Part D enrollees, some states were enriched for providers with > 10,000 prescription claims annually. Dimension-reduction, hierarchical clustering and t-SNE visualization of drug- or drug-class prescribing patterns revealed that providers cluster strongly based on specialty and sub-specialty, with large regional variations in prescribing patterns. Major metropolitan areas had distinct prescribing patterns that tended to group by major geographical divisions. CONCLUSIONS: This work demonstrates that unsupervised clustering, dimension-reduction and t-SNE visualization can be used to analyze and visualize variation in provider prescribing patterns on a national level across thousands of medications, revealing substantial prescribing variation both between and within specialties, regionally, and between major metropolitan areas. These methods offer an alternative system-wide and pattern-centric view of such data for hypothesis generation, visualization, and pattern identification.

Properties of healthcare teaming networks as a function of network construction algorithms.

Network models of healthcare systems can be used to examine how providers collaborate, communicate, refer patients to each other, and to map how patients traverse the network of providers. Most healthcare service network models have been constructed from patient claims data, using billing claims to link a patient with a specific provider in time. The data sets can be quite large (106-108 individual claims per year), making standard methods for network construction computationally challenging and thus requiring the use of alternate construction algorithms. While these alternate methods have seen increasing use in generating healthcare networks, there is little to no literature comparing the differences in the structural properties of the generated networks, which as we demonstrate, can be dramatically different. To address this issue, we compared the properties of healthcare networks constructed using different algorithms from 2013 Medicare Part B outpatient claims data. Three different algorithms were compared: binning, sliding frame, and trace-route. Unipartite networks linking either providers or healthcare organizations by shared patients were built using each method. We find that each algorithm produced networks with substantially different topological properties, as reflected by numbers of edges, network density, assortativity, clustering coefficients and other structural measures. Provider networks adhered to a power law, while organization networks were best fit by a power law with exponential cutoff. Censoring networks to exclude edges with less than 11 shared patients, a common de-identification practice for healthcare network data, markedly reduced edge numbers and network density, and greatly altered measures of vertex prominence such as the betweenness centrality. Data analysis identified patterns in the distance patients travel between network providers, and a striking set of teaming relationships between providers in the Northeast United States and Florida, likely due to seasonal residence patterns of Medicare beneficiaries. We conclude that the choice of network construction algorithm is critical for healthcare network analysis, and discuss the implications of our findings for selecting the algorithm best suited to the type of analysis to be performed.

Psychiatric correlates of medical care costs among veterans receiving mental health care.

Research on increased medical care costs associated with posttraumatic sequelae has focused on posttraumatic stress disorder (PTSD). However, the provisional diagnosis of Disorders of Extreme Stress Not Otherwise Specified (DESNOS) encompasses broader trauma-related difficulties and may be uniquely related to medical costs. We investigated whether DESNOS severity was associated with greater nonmental health medical care costs in veterans receiving mental health care. Participants were 106 men and 105 women receiving VA outpatient mental health treatment. A standardized interview assessed DESNOS severity. The dependent variables consisted of primary and specialty medical treatment costs. Sequential zero-inflated negative binomial regression was used to evaluate the variance in medical costs accounted for by DESNOS severity, controlling for PTSD severity and established predisposing, enabling, and need-based health care factors. Contrary to our hypothesis, in fully adjusted models, DESNOS severity independently added a significant amount of variance to lower specialty medical care costs, whereas PTSD did not consistently account for significant variance in medical care costs. Greater DESNOS severity appears to be associated with lower specialty medical care costs but not primary care costs. These findings may indicate that patients with DESNOS symptoms are at risk for being underreferred for specialty care.

Daily telephone monitoring compared with retrospective recall of alcohol use among patients in early recovery.

Most studies comparing frequent self-monitoring protocols and retrospective assessments of alcohol use find good correspondence, but have excluded participants with significant comorbidity and/or social instability, and some have included abstainers. We evaluated the correspondence between measures of alcohol use based on daily interactive voice response (IVR) telephone monitoring and a 28-day modification of the Form-90 (Form-28). Participants were 25 outpatients with alcohol use disorder and significant PTSD symptomatology . Overall correlations between the IVR and Form-28 on days drinking and total standard drink units (SDUs) were strong for the entire sample and the subsample of drinkers (n = 7). Day-to-day correspondence between IVR and Form-28 was modest, but much stronger for the most recent week assessed than for the prior 3 weeks. Finally, the drinkers reported significantly greater total SDUs and heavy drinking days on the Form-28 than via IVR. The results indicate a need for further refinement of IVR methodology for treatment seeking populations as well as caution when retrospectively assessing drinking over time periods longer than a week among these individuals.

Added burden of mental disorders on health status among patients with chronic obstructive pulmonary disease.

OBJECTIVE: Patients with chronic obstructive pulmonary disease (COPD) and comorbid mental disorders are known to have worse health status. The association between these variables remains complex and poorly understood. We sought to better understand the association between COPD severity, mental disorders (depression/anxiety), and health status. METHOD: This cross-sectional study compared participants without COPD or with mild COPD (n = 162) to those with moderate (n = 25), severe (n = 38), and very severe (n = 26) COPD. We recruited participants from a primary care and a pulmonary clinic at a veterans affairs medical center between July 2001 until September 2002. We used the Patient Health Questionnaire to screen for depression and anxiety and the Posttraumatic Stress Disorder Checklist to screen for posttraumatic stress disorder. Health status was assessed with the veteran's version of the Medical Outcomes Study 36-item Short-Form Health Survey (SF-36) and the Shortness of Breath Questionnaire (SOBQ). RESULTS: COPD severity was associated with worse physical status and dyspnea as measured by the SF-36 physical component summary and the SOBQ but was not associated with worse mental status as measured by the SF-36 mental component summary. At each level of COPD severity, participants with mental disorders had worse health status and dyspnea as measured by the SF-36 physical component summary, mental component summary, and SOBQ. Significant linear trends with COPD severity were associated with increased prevalence of any depressive disorder, major depressive disorder, and nonpanic/non-PTSD anxiety disorders (all tests for linear trend, P < .01). CONCLUSIONS: Independent of COPD severity, comorbid mental disorders were associated with worse health status and dyspnea. Studies are needed to determine whether patients with comorbid mental disorders may have more significant improvement in physical symptoms and functioning if providers focus more on psychiatric conditions.

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.

Frequency of mastalgia among women veterans. Association with psychiatric conditions and unexplained pain syndromes.

OBJECTIVE: To determine the prevalence and frequency of mastalgia and its association with psychiatric conditions and unexplained pain syndromes. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional mailed survey completed by 1,219 female veterans enrolled at the VA Puget Sound Health Care System in 1998. MEASUREMENTS: Breast pain in the past year, unrelated to pregnancy, was categorized as infrequent (< or =monthly) or frequent (> or =weekly) mastalgia. Surveys assessed posttraumatic stress disorder (PTSD), depression, panic disorder, and alcohol misuse with validated screening tests, as well as self-reported past-year chronic pelvic pain, fibromyalgia, and irritable bowel syndrome. RESULTS: The response rate was 63%. Fifty-five percent of the respondents reported past-year mastalgia. Of these, 15% reported frequent mastalgia. Compared to women without mastalgia, women reporting frequent mastalgia were more likely to screen positive for PTSD (odds ratio [OR] 5.2, 95% confidence interval [CI] 3.2 to 8.4), major depression (OR 4.2, 2.6 to 6.9), panic disorder (OR 7.1, 3.9 to 12.8), eating disorder (OR 2.6, 1.5 to 4.7), alcohol misuse (OR 1.8, 1.1 to 2.8), or domestic violence (OR 3.1, 1.9 to 5.0), and to report fibromyalgia (OR 3.9, 2.1 to 7.4), chronic pelvic pain (OR 5.4, 2.7 to 10.5), or irritable bowel syndrome (OR 2.8, 1.6 to 4.8). Women with infrequent mastalgia were also more likely than women without mastalgia to screen positive for PTSD, depression, or panic disorder, or report pelvic pain or irritable bowel syndrome, although associations were weaker than with frequent mastalgia. CONCLUSIONS: Like other unexplained pain syndromes, frequent mastalgia is strongly associated with PTSD and other psychiatric conditions. Clinicians seeing patients with frequent mastalgia should inquire about anxiety, depression, alcohol misuse, and trauma history.

A comparison of methamphetamine-dependent inpatients childhood attention deficit hyperactivity disorder symptomatology.

Methamphetamine-dependent inpatients (N = 51) were screened for childhood attention deficit hyperactivity disorder (ADHD) using the Wender Utah Rating Scale upon admission to 30-day inpatient treatment. Baseline assessments included neuropsychological tests of executive function, memory, information processing, verbal fluency, attention, motor skills, and the Brief Symptom Inventory (BSI), a measure of psychiatric symptomatology. The thirty-six participants (70.6%) screening positive for ADHD reported significantly more frequent methamphetamine use prior to baseline. Baseline cognitive functioning was similar between groups, but the presumptive ADHD participants exhibited significantly worse psychiatric symptomatology. At three-week follow- up, 41 participants (80.4%) repeated the neuropsychological battery and BSI. All 10 non-completers screened positive for ADHD. The entire sample improved with abstinence in most neuropsychological domains except memory. The presumptive ADHD group failed to improve on tests of attention. All participants demonstrated significant reductions in psychiatric symptoms with abstinence. Methamphetamine-dependent individuals with ADHD symptoms are common and pose a significant treatment challenge.

Telephone self-monitoring among alcohol use disorder patients in early recovery: a randomized study of feasibility and measurement reactivity.

Frequent symptom self-monitoring protocols have become popular tools in the addiction field. Interactive Voice Response (IVR) is a telephone monitoring system that has been shown to be feasible for collecting frequent self-reports from a variety of research populations. Little is known, however, about the feasibility of using IVR monitoring in clinical samples, and few controlled trials exist assessing the impact of any type of frequent self-report monitoring on the behaviors monitored. This pilot study with patients in early recovery from an alcohol use disorder (n=98) evaluated compliance with two IVR monitoring protocols, subjective experiences with monitoring, and change in symptoms associated with monitoring (i.e., measurement reactivity). Participants were randomly assigned to call an IVR system daily for 28 days, once per week for 4 weeks, or only to complete 28-day follow-up assessment including retrospective drinking reports. Monitoring calls assessed alcohol craving, substance use, emotional well-being, and PTSD symptoms. Most monitoring participants completed calls on at least 75% of scheduled days (72.2% and 59.2% for daily and weekly, respectively). Including reconstructed data from follow-up of missed calls yielded 77.8% and 74.1% of maximum data points, respectively. Most monitoring participants indicated the protocol was manageable and reported positive or no effects of monitoring on urges to use alcohol, actual drinking, and PTSD symptoms. Analyses of measurement reactivity based on assessment one month after randomization found no significant group differences on drinking, craving for alcohol, or PTSD-related symptoms. Results suggest that IVR technology is feasible and appropriate for telephone symptom monitoring in similar clinical samples.

A brief readiness to change drinking algorithm: concurrent validity in female VA primary care patients.

Brief primary care interventions for alcohol use should be tailored to patients' readiness to change; however, validated measures of readiness to change are too lengthy to be practical in most primary care settings. We compared a readiness to change drinking algorithm (RTC Algorithm) based on three standardized questions to a validated 12-item readiness to change questionnaire (Rollnick RTCQ) in 85 hazardous drinking female Veterans Affairs (VA) patients. Results from comparisons of mean Rollnick RTCQ scale scores across RTC Algorithm categories suggest good concurrent validity. Regular assessment using the RTC Algorithm questions may help primary care providers tailor alcohol-related discussions with hazardous drinking patients.

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.

Posttraumatic stress disorder in female veterans: association with self-reported health problems and functional impairment.

BACKGROUND: The purpose of this report is to identify self-reported health problems and functional impairment associated with screening positive for posttraumatic stress disorder (PTSD) in women seen for care at a Department of Veterans Affairs (VA) medical center. METHODS: A survey was mailed to all women (N = 1935) who received care at the VA Puget Sound Health Care System between October 1996 and January 1998. The survey inquired about health history and habits. It included the PTSD Checklist-Civilian Version (PCL-C) and validated screening measures for other psychiatric disorders. The veteran's version of the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36-V) was included to assess health-related quality of life. RESULTS: Of the 1259 eligible women who completed the survey, 266 women (21%) screened positive for current PTSD (PCL-C score >or= 50). In age-adjusted bivariate analyses, women who screened positive for PTSD reported more psychiatric problems, substance abuse, and lifetime exposure to domestic violence. They were significantly more likely to endorse physical health problems including obesity, smoking, irritable bowel syndrome, fibromyalgia, chronic pelvic pain, polycystic ovary disease, asthma, cervical cancer, and stroke. In fully adjusted multivariate models, a PCL-C score of 50 or greater was independently associated with scoring in the lowest quartile on SF-36-V subscales and composite scales. CONCLUSIONS: Symptoms of PTSD are common in women treated at VA facilities. In addition, PTSD is associated with self-reported mental and physical health problems and poor health-related quality of life in these patients. These findings have implications for the design of VA primary care services for the growing population of female veterans.

The TWEAK is weak for alcohol screening among female Veterans Affairs outpatients.

BACKGROUND: The optimal brief questionnaire for alcohol screening among female patients has not yet been identified. This study compared the performance of the TWEAK (tolerance, worried, eye-opener, amnesia, cutdown), the Alcohol Use Disorders Identification Test (AUDIT), and the AUDIT Consumption (AUDIT-C) as self-administered screening tests for hazardous drinking and/or active alcohol abuse or dependence among female Veterans Affairs (VA) outpatients. METHODS: Women were included in the study if they received care at VA Puget Sound and completed both a self-administered survey containing the AUDIT and TWEAK screening questionnaires and subsequent in-person interviews with the Alcohol Use Disorders and Associated Disabilities Interview Schedule. Sensitivities, specificities, positive and negative likelihood ratios, and areas under Receiver Operating Characteristic curves were computed for each screening questionnaire compared with two interview-based comparison standards: (1) active DSM-IV alcohol abuse or dependence and (2) hazardous drinking and/or active DSM-IV alcohol abuse or dependence, the more appropriate target for primary care screening. RESULTS: Of 393 women who completed screening questionnaires and interviews, 39 (9.9%) met diagnostic criteria for alcohol abuse or dependence, and 89 (22.7%) met criteria for hazardous drinking or alcohol abuse or dependence. The TWEAK had relatively low sensitivities (0.62 and 0.44) but adequate specificities (0.86 and 0.89) for both interview-based comparison standards, even at its lowest cut-point (>/=1). The AUDIT and AUDIT-C were superior, with the following areas under the receiver operating characteristic curve for active alcohol abuse or dependence and hazardous drinking and/or active alcohol abuse or dependence, respectively: AUDIT, 0.90 [95% confidence interval (CI), 0.85-0.95] and 0.87 (95% CI, 0.84-0.91); AUDIT-C, 0.91 (95% CI, 0.88-0.95) and 0.91 (95% CI, 0.88-0.94); and TWEAK, 0.76 (95% CI, 0.66-0.86) and 0.67 (95% CI, 0.60-0.74). CONCLUSIONS: The TWEAK has low sensitivity as an alcohol-screening questionnaire among female VA outpatients and should be evaluated further before being used in other female primary care populations. The three-item AUDIT-C was the optimal brief alcohol-screening questionnaire in this study.

Two brief alcohol-screening tests From the Alcohol Use Disorders Identification Test (AUDIT): validation in a female Veterans Affairs patient population.

BACKGROUND: Primary care physicians need a brief alcohol questionnaire that identifies hazardous drinking and alcohol use disorders. The Alcohol Use Disorders Identification Test (AUDIT) questions 1 through 3 (AUDIT-C), and AUDIT question 3 alone are effective alcohol-screening tests in male Veterans Affairs (VA) patients, but have not been validated in women. METHODS: Female VA patients (n = 393) completed self-administered questionnaires, including the 10-item AUDIT and a previously proposed modification to AUDIT question 3 with a sex-specific threshold for binge drinking (>/=4 drinks/occasion), and in-person interviews with the Alcohol Use Disorder and Associated Disabilities Interview Schedule. The AUDIT-C, AUDIT question 3 alone, and the 10-item AUDIT were each evaluated with and without the sex-specific binge question and compared with past-year hazardous drinking (>7 drinks/week or >/=4 drinks/occasion) and/or active Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition alcohol abuse or dependence, based on interviews. RESULTS: Eighty-nine women (22.6%) met interview criteria for past-year hazardous drinking and/or active alcohol abuse or dependence. Standard and sex-specific AUDIT-Cs were sensitive (0.81 and 0.84, respectively) and specific (0.86 and 0.85, respectively). Their areas under the receiver operating characteristic curves were equivalent (0.91, and 0.92, respectively) and slightly higher than for the standard 10-item AUDIT (0.87). A single, sex-specific question about binge drinking (modified AUDIT question 3) had a sensitivity of 0.69 and specificity of 0.94, whereas the standard AUDIT question 3 was specific (0.96) but relatively insensitive (0.45). CONCLUSIONS: The standard and sex-specific AUDIT-Cs are effective screening tests for past-year hazardous drinking and/or active alcohol abuse or dependence in female patients in a VA study.

Screening for substance abuse and psychiatric disorders among women patients in a VA Health Care System.

OBJECTIVE: This study of women Veterans Affairs (VA) health care patients screened for the prevalence of past-year smoking, hazardous and problem drinking, other drug abuse, and psychiatric disorders. METHODS: A survey was mailed to women veterans who had received care from VA Puget Sound Health Care System between October 1, 1996, and January 1, 1998. Screening measures included questions about cigarettes; questions from the Alcohol Use Disorders Identification Test about consumption (hazardous drinking); the TWEAK test (problem drinking); a drug abuse screen; the Patient Health Questionnaire (psychiatric conditions); and the PTSD (posttraumatic stress disorder) Checklist. RESULTS: Of eligible patients, 1,257 (65 percent) returned surveys with complete substance use data. Patients reported a relatively high rate of past-year smoking (29.1 percent) and hazardous drinking, problem drinking, or both (31.1 percent). The rate of past-year drug use was much lower (4.9 percent). Younger age was strongly associated with greater substance abuse: 59 percent of women under age 35 screened positive for smoking, hazardous or problem drinking, or drug abuse. Screening positive for a psychiatric condition (N=504) was also associated with substance abuse: The rate of past-year drug abuse among women screening positive for a psychiatric condition (9.7 percent) was double the rate for the entire sample. Of the women who screened positive for depression, PTSD, eating disorders, or panic disorders, 57 percent screened positive for substance abuse (including smoking). CONCLUSIONS: Substance abuse is common among women VA patients and is associated with younger age and with screening positive for other psychiatric conditions. Providers are expected to follow up on positive screening tests, and these data indicate substantial provider burden.

Screening for post-traumatic stress disorder in female Veteran's Affairs patients: validation of the PTSD checklist.

We evaluated the screening validity of a self-report measure for post traumatic stress disorder (PTSD), the PTSD Checklist (PCL), in female Veterans Affairs (VA) patients. All women seen for care at the VA Puget Sound Health Care system from October 1996-January 1999 (n=2,545) were invited to participate in a research interview. Participants (n=282) completed the 17-item PCL, followed by a gold standard diagnostic interview for PTSD, the Clinician Administered PTSD Scale (CAPS). Thirty-six percent of the participants (n=100) met CAPS diagnostic criteria for current PTSD. Receiver Operating Characteristic (ROC) analysis was used to evaluate the screening performance of the PCL. The area under the ROC curve was 0.86 (95% CI 0.82-0.90). A PCL score of 38 optimized the performance of the PCL as a screening test (sensitivity 0.79, specificity 0.79). The PCL performed well as a screening measure for the detection of PTSD in female VA patients.

Alcohol-related discussions during general medicine appointments of male VA patients who screen positive for at-risk drinking.

OBJECTIVE: This study describes primary care discussions with patients who screened positive for at-risk drinking. In addition, discussions about alcohol use from 2 clinic firms, one with a provider-prompting intervention, are compared. DESIGN: Cross-sectional analyses of audiotaped appointments collected over 6 months. PARTICIPANTS AND SETTING: Male patients in a VA general medicine clinic were eligible if they screened positive for at-risk drinking and had a general medicine appointment with a consenting provider during the study period. Participating patients ( N = 47) and providers ( N = 17) were enrolled in 1 of 2 firms in the clinic (Intervention or Control) and were blinded to the study focus. INTERVENTION: Intervention providers received patient-specific results of positive alcohol-screening tests at each visit. MEASURES AND MAIN RESULTS: Of 68 visits taped, 39 (57.4%) included any mention of alcohol. Patient and provider utterances during discussions about alcohol use were coded using Motivational Interviewing Skills Codes. Providers contributed 58% of utterances during alcohol-related discussions with most coded as questions (24%), information giving (23%), or facilitation (34%). Advice, reflective listening, and supportive or affirming statements occurred infrequently (5%, 3%, and 5%, of provider utterances respectively). Providers offered alcohol-related advice during 21% of visits. Sixteen percent of patient utterances reflected "resistance" to change and 12% reflected readiness to change. On average, Intervention providers were more likely to discuss alcohol use than Control providers (82.4% vs 39.6% of visits; P =.026). CONCLUSIONS: During discussions about alcohol, general medicine providers asked questions and offered information, but usually did not give explicit alcohol-related advice. Discussions about alcohol occurred more often when providers were prompted.