Faculty Bibliography

BACKGROUND: Integrating mobile phone technologies in addiction treatment is of increasing importance and may optimize patient engagement with their care and enhance the delivery of existing treatment strategies. Few studies have evaluated mobile phone and text message (TM) use patterns in persons enrolled in addiction treatment, and none have assessed the use in safety net, office-based buprenorphine practices. METHODS: A 28-item, quantitative and qualitative semistructured survey was administered to opiate-dependent adults in an urban, publicly funded, office-based buprenorphine program. Survey domains included demographic characteristics, mobile phone and TM use patterns, and preferences pertaining to their recovery. RESULTS: Surveyors approached 73 of the 155 eligible subjects (47%); 71 respondents completed the survey. Nearly all participants reported mobile phone ownership (93%) and TM use (93%), and most reported "very much" or "somewhat" comfort sending TM (79%). Text message contact with 12-step group sponsors, friends, family members, and counselors was also described (32%). Nearly all preferred having their providers' mobile phone number (94%), and alerting the clinic via TM in the event of a potential relapse to receive both supportive TM and a phone call from their buprenorphine provider was also well received (62%). CONCLUSIONS: Mobile phone and TM use patterns and preferences among this sample of office-based buprenorphine participants highlight the potential of adopting patient-centered mobile phone-based interventions in this treatment setting.

Limited investigations have been conducted on syndemics and HIV continuum of care outcomes. Using baseline data from a multi-site, randomized controlled study of HIV-positive injection drug users (n = 1,052), we examined whether psychosocial factors co-occurred, and whether these factors were additively associated with behavioral and HIV continuum of care outcomes. Experiencing one type of psychosocial problem was significantly (p < 0.05) associated with an increased odds of experiencing another type of problem. Persons with 3 or more psychosocial problems were significantly more likely to report sexual and injection risk behaviors and were less likely to be adherent to HIV medications. Persons with 4 or more problems were less likely to be virally suppressed. Reporting any problems was associated with not currently taking HIV medications. Our findings highlight the association of syndemics not only with risk behaviors, but also with outcomes related to the continuum of care for HIV-positive persons.

Aims: Implementation of substance use screening in general medical settings is hindered by the lack of a brief yet precise and comprehensive screening tool that is compatible with clinical workflows. To address this need, we developed the Substance Use Brief Screen (SUBS); a 4-item screener for tobacco, alcohol, and drug use (illicit and prescription) that is self-administered and may be easily integrated with electronic health records. Methods: Adult patients were recruited consecutively in the waiting area of an urban safety net primary care clinic. The SUBS was self-administered in English on touchscreen tablet computers. Reference standard measures of unhealthy substance use and substance use disorders were then administered, including self reported measures and saliva drug tests. The SUBS was compared against the reference standards to determine its sensitivity, specificity, and area under the curve (AUC) for each substance class. Results: Among the 390 participants, rates of past year use reported on the SUBS were 37% tobacco, 43% alcohol (4+ drinks/day), 20% illicit drugs, and 12% prescription drugs. Sensitivity and specificity of the SUBS for detecting past year unhealthy use were: tobacco 99% and 91% (AUC = .95); alcohol 94% and 68% (AUC = .81); drugs (illicit or prescription) 84% and 89% (AUC = .86). Sensitivity was lower for prescription drugs (57%) than for illicit drugs (78%). For detecting a substance use disorder, sensitivity and specificity were: tobacco 100% and 73% (AUC = .87); alcohol 93% and 64% (AUC = .79); drugs 85% and 82% (AUC = .84). Conclusions: The SUBS accurately identified unhealthy tobacco, alcohol, and drug use in this primary care sample, and had high sensitivity but lower specificity for identifying substance use disorders. Individuals screening positive on the SUBS should receive further assessment. Our findings support use of the SUBS for substance use screening in primary care, but additional tools may be needed for prescription drugs

OBJECTIVE: The purpose of this study was to evaluate the association of physician continuity of care with length of stay, likelihood of weekend discharge, in-hospital mortality and 30-day readmission. DESIGN: A cohort study of hospitalized medical patients. The primary exposure was the weekend usual provider continuity (UPC) over the initial weekend of care. This metric was adapted from an outpatient continuity of care index. Regression models were developed to determine the association between UPC and outcomes. SETTING: An academic medical center. MAIN OUTCOME MEASURE: Length of stay which was calculated as the number of days from the first Saturday of the hospitalization to the day of discharge. RESULTS: Of the 3391 patients included in this study, the prevalence of low, moderate and high UPC for the initial weekend of hospitalization was 58.7, 22.3 and 19.1%, respectively. When compared with low continuity of care, both moderate and high continuity of care were associated with reduced length of stay, with adjusted rate ratios of 0.92 (95% CI 0.86-1.00) and 0.64 (95% CI 0.53-0.76), respectively. High continuity of care was associated with likelihood of weekend discharge (adjusted odds ratio 2.84, 95% CI 2.11-3.83) but was not significantly associated with mortality (adjusted odds ratio 0.72, 95% CI 0.29-1.80) or readmission (adjusted odds ratio 0.88, 95% CI 0.68-1.14) when compared with low continuity of care. CONCLUSIONS: Increased weekend continuity of care is associated with reduced length of stay. Improvement in weekend cross-coverage and patient handoffs may be useful to improve clinical outcomes.

The time required to conduct drug and alcohol screening has been a major barrier to its implementation in mainstream healthcare settings. Because patient self-administered tools are potentially more efficient, we translated the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) into an audio guided computer assisted self interview (ACASI) format. This study reports on the test-retest reliability of the ACASI ASSIST in an adult primary care population. Adult primary care patients completed the ACASI ASSIST, in English or Spanish, twice within a 1-4week period. Among the 101 participants, there were no significant differences between test administrations in detecting moderate to high risk use for tobacco, alcohol, or any other drug class. Substance risk scores from the two administrations had excellent concordance (90-98%) and high correlation (ICC 0.90-0.97) for tobacco, alcohol, and drugs. The ACASI ASSIST has good test-retest reliability, and warrants additional study to evaluate its validity for detecting unhealthy substance use.

The New York City Clinical Data Research Network (NYC-CDRN), funded by the Patient-Centered Outcomes Research Institute (PCORI), brings together 22 organizations including seven independent health systems to enable patient-centered clinical research, support a national network, and facilitate learning healthcare systems. The NYC-CDRN includes a robust, collaborative governance and organizational infrastructure, which takes advantage of its participants' experience, expertise, and history of collaboration. The technical design will employ an information model to document and manage the collection and transformation of clinical data, local institutional staging areas to transform and validate data, a centralized data processing facility to aggregate and share data, and use of common standards and tools. We strive to ensure that our project is patient-centered; nurtures collaboration among all stakeholders; develops scalable solutions facilitating growth and connections; chooses simple, elegant solutions wherever possible; and explores ways to streamline the administrative and regulatory approval process across sites.

BACKGROUND AND OBJECTIVES: This analysis aims to: (1) compare induction experiences among participants who self-reported using one of the four most commonly reported POs, and (2) examine factors associated with difficult bup-nx induction. Our hypothesis, based on previous research and current guidelines, is that those on longer-acting opioids will have experienced more difficult inductions. METHODS: The Prescription Opioid Addiction Treatment Study (POATS) was a multi-site, randomized clinical trial, using a two-phase adaptive treatment research design. This analysis examines bup-nx induction of participants who self-reported primary PO use of methadone, ER-oxycodone, IR-oxycodone, and hydrocodone (n = 569). Analyses examined characteristics associated with difficult induction, defined as increased withdrawal symptoms measured by the Clinical Opiate Withdrawal Scale (COWS) after the first bup-nx dose with higher scores denoting greater withdrawal symptoms/severity. RESULTS: Contrary to our hypothesis, difficult induction experiences did not differ by primary PO type. Those who experienced a post-induction increase in COWS score had lower pre-dose COWS scores compared to those who did not experience a post-induction increase in COWS score (10.09 vs. 12.77, t(624) = -13.56, p < .001). Demographics characteristics, depression, and pain history did not predict a difficult induction. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: Difficult bup-nx inductions were not associated with participants' primary PO. Severity of withdrawal, measured with the COWS, was an important variable, reminding clinicians that bup-nx should not be commenced prior to evidence of moderate opioid withdrawal. These findings add to the evidence that with careful procedures, bup-nx can used with few difficulties in PO-dependent patients. (Am J Addict 2013;XX:000-000).

Optimizing the health of populations, whether defined as persons receiving care from a health care delivery system or more broadly as persons in a region, is emerging as a core focus in the era of health care reform. To achieve this goal requires an approach in which preventive care is valued and "nonmedical" determinants of patients' health are engaged. For large, multimission systems such as academic medical centers, navigating the evolution to a population-oriented paradigm across the domains of patient care, education, and research poses real challenges but also offers tremendous opportunities, as important objectives across each mission begin to align with external trends and incentives. In clinical care, opportunities exist to improve capacity for assuming risk, optimize community benefit, and make innovative use of advances in health information technology. Education must equip the next generation of leaders to understand and address population-level goals in addition to patient-level needs. And the prospects for research to define strategies for measuring and optimizing the health of populations have never been stronger. A remarkable convergence of trends has created compelling opportunities for academic medical centers to advance their core goals by endorsing and committing to advancing the health of populations.