Faculty Bibliography

BACKGROUND: Persons who use illicit drugs are at increased risk of new tuberculosis (TB) infection. We conducted a prospective cohort study to assess rates and risk factors for tuberculin skin test (TST) conversion among persons with a history of illicit drug use, who were enrolled in a methadone program and had a negative baseline 2-step TST (eligible participants). METHODS: TST and standardized interviews were administered to 401 eligible participants from 1995 through 1999, every 6 months for a 2-year follow-up time. Analyses were conducted in 2006. RESULTS: A total of 1,447 repeat TSTs were performed during 843 person-years of follow-up (median: 2.0 years). The TST conversion rate was 3.7 per 100 person-years. In multivariate analysis, participants who converted were more likely to report ever having been homeless (HR, 2.4; 95% CI, 1.2-5.0) or ever having lived in a homeless shelter (HR, 2.4; 95% CI, 1.2-4.9) at the baseline interview, and less likely to have reported receiving public assistance since the last study visit (RR, 0.15; 95% CI, 0.07-0.32). CONCLUSIONS: This is the first study utilizing 2-step TST at baseline to measure the incidence of TST conversion among persons who use illicit drugs. Controlling for homelessness, persons with a lack of current public assistance was identified as a risk factor for TST conversion. These individuals may most benefit from annual tuberculin skin testing

Injection drug users constitute 60% of the more than 4 million people in the United States with hepatitis C virus (HCV), including many methadone maintenance patients. Few data exist describing clinical outcomes for patients receiving HCV treatment on-site in methadone maintenance settings. In this retrospective study, we describe clinical outcomes for 73 patients receiving HCV treatment on-site in a methadone maintenance treatment program. Fifty-five percent of patients achieved end-of-treatment response, and 45% achieved sustained viral response. These treatment response rates are nearly equivalent to previously published HCV treatment response rates, despite high prevalences of ongoing drug use (49%), psychiatric comorbidity (67%), and HIV coinfection (32%). These data show that on-site HCV treatment with pegylated interferon and ribavirin is effective in methadone-maintained patients, many of whom are active drug users, psychiatrically ill, or HIV coinfected, and that methadone maintenance treatment programs represent an opportunity to safely treat chronic hepatitis C

The concept of the medical home has existed since the 1960s, but has recently become a focus for discussion and innovation in the health care system. The most prominent definitions of the medical home are those presented by the Patient-Centered Primary Care Collaborative, the National Committee for Quality Assurance, and the Commonwealth Fund. These definitions share: adoption of health information technology and decision support systems, modification of clinical practice patterns, and ensuring continuity of care. Each of these components is a complex undertaking, and there is scant evidence to guide assessment of diverse strategies for achieving their integration into a medical home. Without a shared vocabulary and common definitions, policy-makers seeking to encourage the development of medical homes, providers seeking to improve patient care, and payers seeking to develop appropriate systems of reimbursement will face challenges in evaluating and disseminating the medical home model

Buprenorphine is an effective long-term opioid agonist treatment. As the only pharmacological treatment for opioid dependence readily available in office-based settings, buprenorphine may facilitate a historic shift in addiction treatment from treatment facilities to general medical practices. Although many patients have benefited from the availability of buprenorphine in the United States, almost half of current prescribers are addiction specialists suggesting that buprenorphine treatment has not yet fully penetrated general practice settings. We examined factors affecting willingness to offer buprenorphine treatment among physicians with different levels of prescribing experience. Based on their prescribing practices, physicians were classified as experienced, novice, or as a nonprescriber and asked to assess the extent to which a list of factors impacted their prescription of buprenorphine. Several factors affected willingness to prescribe buprenorphine for all physicians: staff training; access to counseling and alternate treatment; visit time; buprenorphine availability; and pain medications concerns. Compared with other physicians, experienced prescribers were less concerned about induction logistics and access to expert consultation, clinical guidelines, and mental health services. They were more concerned with reimbursement. These data provide important insight into physician concerns about buprenorphine and have implications for practice, education, and policy change that may effectively support widespread adoption of buprenorphine

Patients with frequent hospitalizations generate a disproportionate share of hospital visits and costs. Accurate determination of patients who might benefit from interventions is challenging: most patients with frequent admissions in 1 year would not continue to have them in the next. Our objective was to employ a validated regression algorithm to case-find Medicaid patients at high-risk for hospitalization in the next 12 months and identify intervention-amenable characteristics to reduce hospitalization risk. We obtained encounter data for 36,457 Medicaid patients with any visit to an urban public hospital from 2001 to 2006 and generated an algorithm-based score for hospitalization risk in the subsequent 12 months for each patient (0 = lowest, 100 = highest). To determine medical and social contributors to the current admission, we conducted in-depth interviews with high-risk hospitalized patients (scores >50) and analyzed associated Medicaid claims data. An algorithm-based risk score >50 was attained in 2,618 (7.2%) patients. The algorithm's positive predictive value was equal to 0.67. During the study period, 139 high-risk patients were admitted: 60 met inclusion criteria and 50 were interviewed. Fifty-six percent cited the Emergency Department as their usual source of care or had none. Sixty-eight percent had >1 chronic medical conditions, and 42% were admitted for conditions related to substance use. Sixty percent were homeless or precariously housed. Mean Medicaid expenditures for the interviewed patients were $39,188 and $84,040 per patient for the years immediately prior to and following study participation, respectively. Findings including high rates of substance use, homelessness, social isolation, and lack of a medical home will inform the design of interventions to improve community-based care and reduce hospitalizations and associated costs