Scott E. Provost
McLean Hospital
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Featured researches published by Scott E. Provost.
Medical Care | 2004
Richard C. Hermann; Heather Palmer; Stephen Leff; Scott E. Provost; Jeffrey A. Chan; Wai T. Chiu; Greta Lagodmos
Objective:Quality-improvement efforts are hindered by a lack of consensus on meaningful and feasible measures of care. The objective of this study was to develop a core set of quality measures for mental health and substance-related care that are meaningful to stakeholders, feasible to implement, and broadly representative of diverse dimensions of the mental health system. Method:A 12-member panel of stakeholders from national organizations evaluated 116 process measures in a 2-stage modified Delphi consensus development process. Drawing on a conceptual framework and literature review, panelists rated each measure on 7 domains using a 9-point scale (1 = best). Measures were then mapped to a framework of system dimensions to identify a core set with the highest ratings for system characteristics within each dimension. Results:Twenty-eight measures were identified assessing treatment (12), access (2), assessment (2), continuity (4), coordination (2), prevention (1), and safety (5). Overall, mean ratings for meaningfulness were: clinical importance 2.29; perceived gap between actual and optimal care 2.59; association between improved performance and outcome 2.61. For feasibility, mean ratings were clarity of specifications 3.39; acceptability of data collection burden 4.77; and adequacy of case mix adjustment 4.20. The measures address a range of treatment modalities, clinical settings, diagnostic categories, vulnerable populations, and other dimensions of mental healthcare. Conclusions:A structured consensus process identified a core set of quality measures that are meaningful and feasible to multiple stakeholders, as well as broadly representative of the mental healthcare system. By yielding quantitative assessments of meaningfulness, feasibility and degree of consensus among stakeholders, these results can inform ongoing national efforts to adopt common quality measures for mental healthcare.
Medical Care Research and Review | 2000
Richard C. Hermann; H. Stephen Leff; R. Heather Palmer; Dawei Yang; Terri Teller; Scott E. Provost; Chet Jakubiak; Jeff Chan
The National Inventory of Mental Health Quality Measures was funded by the Agency for Healthcare Research and Quality to (1) inventory process measures for assessing the quality of mental health care; (2) identify clinical, administrative, and quality domains where measures have been developed; and (3) identify areas where further research and development is needed. Among the 86 measures identified, most evaluated treatment of major mental disorders, for example, schizophrenia (24 percent) and major depression (21 percent). A small proportion focused on children (8 percent) or the elderly (9 percent). Domains of quality included treatment appropriateness (65 percent), continuity (26 percent), access (26 percent), coordination (13 percent), detection (12 percent), and prevention (6 percent). Few measures were evaluated for reliability (12 percent) or validity (3 percent). Measures imposing a lower burden were more likely to be in use (chi 2 = 4.41, p = .036). Further measures are needed to assess care for several priority clinical and demographic groups. Research should focus on measure validity, reliability, and implementation costs. In order to foster quality improvement activities and use of common measures and specifications for mental health care, the inventory of quality measures will be made available at www.challiance.org/cqaimh.
Contemporary Clinical Trials | 2010
Roger D. Weiss; Jennifer Sharpe Potter; Scott E. Provost; Zhen Huang; Petra Jacobs; Albert Hasson; Robert Lindblad; Hilary S. Connery; Kristi Prather; Walter Ling
The National Institute on Drug Abuse Clinical Trials Network launched the Prescription Opioid Addiction Treatment Study (POATS) in response to rising rates of prescription opioid dependence and gaps in understanding the optimal course of treatment for this population. POATS employed a multi-site, two-phase adaptive, sequential treatment design to approximate clinical practice. The study took place at 10 community treatment programs around the United States. Participants included men and women age > or =18 who met Diagnostic and Statistical Manual, 4th Edition criteria for dependence upon prescription opioids, with physiologic features; those with a prominent history of heroin use (according to pre-specified criteria) were excluded. All participants received buprenorphine/naloxone (bup/nx). Phase 1 consisted of 4 weeks of bup/nx treatment, including a 14-day dose taper, with 8 weeks of follow-up. Phase 1 participants were monitored for treatment response during these 12 weeks. Those who relapsed to opioid use, as defined by pre-specified criteria, were invited to enter Phase 2; Phase 2 consisted of 12 weeks of bup/nx stabilization treatment, followed by a 4-week taper and 8 weeks of post-treatment follow-up. Participants were randomized at the beginning of Phase 1 to receive bup/nx, paired with either Standard Medical Management (SMM) or Enhanced Medical Management (EMM; defined as SMM plus individual drug counseling). Eligible participants entering Phase 2 were re-randomized to either EMM or SMM. POATS was developed to determine what benefit, if any, EMM offers over SMM in short-term and longer-term treatment paradigm. This paper describes the rationale and design of the study.
Drug and Alcohol Dependence | 2015
Roger D. Weiss; Jennifer Sharpe Potter; Margaret L. Griffin; Scott E. Provost; Garrett M. Fitzmaurice; Katherine A. McDermott; Emily N. Srisarajivakul; Dorian R. Dodd; Jessica A. Dreifuss; R. Kathryn McHugh; Kathleen M. Carroll
BACKGROUND Despite the growing prevalence of prescription opioid dependence, longitudinal studies have not examined long-term treatment response. The current study examined outcomes over 42 months in the Prescription Opioid Addiction Treatment Study (POATS). METHODS POATS was a multi-site clinical trial lasting up to 9 months, examining different durations of buprenorphine-naloxone plus standard medical management for prescription opioid dependence, with participants randomized to receive or not receive additional opioid drug counseling. A subset of participants (N=375 of 653) enrolled in a follow-up study. Telephone interviews were administered approximately 18, 30, and 42 months after main-trial enrollment. Comparison of baseline characteristics by follow-up participation suggested few differences. RESULTS At Month 42, much improvement was seen: 31.7% were abstinent from opioids and not on agonist therapy; 29.4% were receiving opioid agonist therapy, but met no symptom criteria for current opioid dependence; 7.5% were using illicit opioids while on agonist therapy; and the remaining 31.4% were using opioids without agonist therapy. Participants reporting a lifetime history of heroin use at baseline were more likely to meet DSM-IV criteria for opioid dependence at Month 42 (OR=4.56, 95% CI=1.29-16.04, p<.05). Engagement in agonist therapy was associated with a greater likelihood of illicit-opioid abstinence. Eight percent (n=27/338) used heroin for the first time during follow-up; 10.1% reported first-time injection heroin use. CONCLUSIONS Long-term outcomes for those dependent on prescription opioids demonstrated clear improvement from baseline. However, a subset exhibited a worsening course, by initiating heroin use and/or injection opioid use.
Journal of Substance Abuse Treatment | 2010
Barbara K. Campbell; Carrie J. Tillotson; Dongseok Choi; Katherine Bryant; Jessica DiCenzo; Scott E. Provost; Lucy Zammarelli; Robert E. Booth; Dennis McCarty
This article examines variables that predicted outpatient treatment entry within 6 months of residential detoxification. Patient data were collected from 632 injection drug users enrolled in a randomized trial conducted at eight detoxification programs within the National Drug Abuse Treatment Clinical Trials Network (CTN) with follow-up assessments conducted at 2, 8, 16, and 24 weeks. Detoxification program characteristics were collected during this study and from a survey of CTN treatment organizations. Survival analysis found that estimated proportions of reported outpatient treatment entry varied across sites from .06 to .72. A model-building approach determined variables significantly associated with outpatient treatment entry. The best predictive model contained five program-level variables: accreditation, fewer beds, longer stays, shorter distance between detoxification and outpatient unit, and larger city population. Results suggest the importance of detoxification program characteristics in facilitating further treatment and the need for systems modifications to improve continuity of care.
Journal of Substance Abuse Treatment | 2015
Jennifer Sharpe Potter; Jessica A. Dreifuss; Elise N. Marino; Scott E. Provost; Dorian R. Dodd; Lindsay S. Rice; Garrett M. Fitzmaurice; Margaret L. Griffin; Roger D. Weiss
Despite the high prevalence of prescription opioid dependence in the U.S., little is known about the course of this disorder and long-term response to treatment. We therefore examined 18-month post-randomization outcomes of participants in the Prescription Opioid Addiction Treatment Study, a multi-site, randomized controlled trial examining varying durations of buprenorphine-naloxone treatment and different intensities of counseling for prescription opioid dependence. Thus the current follow-up study provides a unique contribution to the field by reporting longer-term outcomes of a well-characterized population of treatment-seeking prescription opioid dependent patients. Participants from the treatment trial (N=252/653) completed an 18-month follow-up telephone assessment. Multivariable analyses examined associations between participant characteristics and key indicators of month-18 status: opioid abstinence, DSM-IV opioid dependence, and opioid agonist treatment. Overall, participants showed improvement from baseline to month 18: 49.6% were abstinent in the previous 30 days, with only 16.3% opioid-dependent. Some participants, however, had initiated past-year heroin use (n=9) or opioid injection (n=17). Most participants (65.9%) engaged in substance use disorder treatment during the past year, most commonly opioid agonist therapy (48.8%). Of particular interest in this population, multivariable analysis showed that greater pain severity at baseline was associated with opioid dependence at 18 months. In conclusion, although opioid use outcomes during the treatment trial were poor immediately following a buprenorphine-naloxone taper compared to those during 12 weeks of buprenorphine-naloxone stabilization, opioid use outcomes at 18-month follow-up showed substantial improvement over baseline and were comparable to the rate of successful outcomes during buprenorphine-naloxone stabilization in the treatment trial.
American Journal on Addictions | 2010
Roger D. Weiss; Jennifer Sharpe Potter; Marc L. Copersino; Kristi Prather; Petra Jacobs; Scott E. Provost; David Chim; Jeffrey Selzer; Walter Ling
Most treatment studies of opioid-dependent populations have focused predominantly on heroin users, despite a recent increase in those dependent upon prescription opioids. A key methodological challenge involved in studying the latter group involves defining the population. Specifically, researchers must decide whether to include (1) concurrent heroin users and (2) individuals with pain. The multi-site Prescription Opioid Addiction Treatment Study is examining treatments for this population. This paper describes various inclusion criteria considered by the study team related to heroin use and pain. The goal was to recruit a distinct but generalizable population of individuals dependent upon prescription opioids. (Am J Addict 2010;00:1-6).
Psychiatric Services | 2007
Scott E. Provost
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Archives of General Psychiatry | 2011
Roger D. Weiss; Jennifer Sharpe Potter; David A. Fiellin; Marilyn Byrne; Hilary S. Connery; William Dickinson; John G. Gardin; Margaret L. Griffin; Marc N. Gourevitch; Deborah L. Haller; Albert L. Hasson; Zhen Huang; Petra Jacobs; Andrzej S. Kosinski; Robert Lindblad; Elinore F. McCance-Katz; Scott E. Provost; Jeffrey Selzer; Eugene Somoza; Susan C. Sonne; Walter Ling
Schizophrenia Bulletin | 2002
Richard C. Hermann; Molly T. Finnerty; Scott E. Provost; R. Heather Palmer; Jeff Chan; Greta Lagodmos; Terri Teller; Britt Myrhol
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University of Texas Health Science Center at San Antonio
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