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Dive into the research topics where Thomas Bowe is active.

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Featured researches published by Thomas Bowe.


Psychiatric Services | 2010

Pharmacotherapy of Alcohol Use Disorders in the Veterans Health Administration

Alex H. S. Harris; Daniel R. Kivlahan; Thomas Bowe; Keith Humphreys

OBJECTIVE Acamprosate, oral and long-acting injectable naltrexone, and disulfiram are approved for treatment of alcohol dependence. Their availability and consideration of their use in treatment are now standards of high-quality care. This study determined rates of medication initiation among Veterans Health Administration (VHA) patients. METHODS VHA pharmacy and administrative data were used to identify patients with alcohol use disorder diagnoses in fiscal years (FY) 2006 and 2007 and the proportion (nationally and by facility) who received each medication. Patient characteristics associated with receipt were also examined. RESULTS Among more than a quarter-million patients with alcohol use disorder diagnoses, the percentage receiving any of the medications increased from 2.8% in FY 2006 to 3.0% in FY 2007. Receipt of these medications was more likely among patients who received specialty addiction care, those with alcohol dependence (compared with abuse), those younger than 55 years, and females. In the patient subgroups examined, the largest proportion to receive any of the medications was 11.6%. Across 128 VHA facilities, rates of use among patients in the sample who had received past-year specialty addiction treatment ranged from 0% to 20.5%; rates ranged from 0% to 4.3% among those with no specialty treatment. Patient preferences and medical contraindications could not be determined from the data. CONCLUSIONS Findings suggest the need to better understand systemwide variation in use of these medications and their use as a rough proxy for availability and consideration of pharmacotherapy--a standard of care with strong organizational support.


Journal of Behavioral Health Services & Research | 2010

Does Meeting the HEDIS Substance Abuse Treatment Engagement Criterion Predict Patient Outcomes

Alex H. S. Harris; Keith Humphreys; Thomas Bowe; Quyen Q. Tiet; John W. Finney

This study examines the patient-level associations between the Health Plan Employer Data and Information Set (HEDIS) substance use disorder (SUD) treatment engagement quality indicator and improvements in clinical outcomes. Administrative and survey data from 2,789 US Department of Veterans Affairs SUD patients were used to estimate the effects of meeting the HEDIS engagement criterion on improvements in Addiction Severity Index Alcohol, Drug, and Legal composite scores. Patients meeting the engagement indicator improved significantly more in all domains than patients who did not engage, and the relationship was stronger for alcohol and legal outcomes for patients seen in outpatient settings. The benefit accrued by those who engaged was statistically significant but clinically modest. These results add to the literature documenting the clinical benefits of treatment entry and engagement. Although these findings only indirectly support the use of the HEDIS engagement measure for its intended purpose—discriminating quality at the facility or system level—they confirm that the processes of care captured by the measure are associated with important patient outcomes.


Psychiatric Services | 2012

Pharmacotherapy of Alcohol Use Disorders by the Veterans Health Administration: Patterns of Receipt and Persistence

Alex H. S. Harris; Elizabeth M. Oliva; Thomas Bowe; Keith Humphreys; Daniel R. Kivlahan; Jodie A. Trafton

OBJECTIVE This study assessed changes since 2007 at Veterans Health Administration (VHA) facilities (N=129) in use of the medications approved by the U.S. Food and Drug Administration for treatment of alcohol use disorders. METHODS VHA data from fiscal years (FYs) 2008 and 2009 were used to identify patients with a diagnosis of an alcohol use disorder who received oral or extended-release naltrexone, disulfiram, or acamprosate as well as the proportion of days covered (PDC) in the 180 days after initiation and the time to first ten-day gap in possession (persistence) for each medication. Multilevel, mixed-effects logistic regression models examined the association between patient and facility characteristics and use of medications. RESULTS Nationally, 3.4% of VHA patients with an alcohol use disorder received medications in FY 2009 (11,165 of 331,635 patients), up from 3.0% in FY 2007. Use of medications by patients at the facilities ranged from 0% to 12%. In fully adjusted analyses, facilities offering evening and weekend services had higher rates of medication receipt, but other facility characteristics, such as having prescribers on the addiction programs staff or using medication to treat opioid or tobacco dependence, were unrelated to medication receipt. The mean PDC of acamprosate was significantly lower than mean PDCs of the other medications (p<.05), and persistence in use of naltrexone was significantly greater than use of acamprosate and significantly less than use of disulfiram (p<.05). CONCLUSIONS Use of these medications is increasing but remains variable across the VHA system. Interventions are needed to optimize initiation of and persistence in use of these medications.


Journal of Arthroplasty | 2013

Hemoglobin A1C as a Marker for Surgical Risk in Diabetic Patients Undergoing Total Joint Arthroplasty

Alex H. S. Harris; Thomas Bowe; Shalini Gupta; Laura S. Ellerbe; Nicholas J. Giori

Diabetes is a risk factor for complications following total joint arthroplasty (TJA). This retrospective cohort study of 6088 diabetic patients from the Veterans Health Administration (VHA) undergoing TJA sought to determine if hemoglobin A1c, an accessible and objective lab value, has utility as a predictor of risk of complications in TJA after controlling for demographic, surgical, and medical center effects, and to evaluate the benefits and risks of alternative thresholds. Analysis of the functional relationship between hemoglobin A1c and complications revealed that the risk linearly increases through, rather than surging at, the threshold of 7%. Before delaying surgery to achieve better diabetic control, surgeons and patients should weigh the estimated risks of TJA against the potential benefits.


Journal of Substance Abuse Treatment | 2009

Measuring the quality of substance use disorder treatment : Evaluating the validity of the Department of Veterans Affairs continuity of care performance measure

Alex H. S. Harris; Keith Humphreys; Thomas Bowe; Daniel R. Kivlahan; John W. Finney

This study examined the patient- and facility-level associations between the continuity of care performance measure adopted by the Department of Veterans Affairs (VA) and improvements in self-administered Addiction Severity Index (ASI) composites and other indicators of problematic substance use. Up to 50 patients from each of a nationally representative sample of 109 VA substance use disorder (SUD) treatment programs at 73 VA facilities were assessed at intake and posttreatment. The continuity of care performance measure specifies that patients should receive at least two SUD outpatient visits in each of the three consecutive 30-day periods after they qualify as new SUD patients. In analyses adjusting for baseline characteristics, meeting the continuity of care performance measure was not associated with patient-level improvements in the ASI alcohol or drug composites, days of alcohol intoxication, or days of substance-related problems. Facility-level rates of continuity of care were negatively associated with improvements in ASI alcohol and drug composites. The continuity of care performance measure derived from prior patient-level evidence did not discriminate facility-level performance as predicted. Translating research into process-of-care quality measures requires postconstruction validation.


Psychological Services | 2013

Pharmacotherapy for alcohol dependence: perceived treatment barriers and action strategies among Veterans Health Administration service providers.

Alex H. S. Harris; Laura S. Ellerbe; Rachelle Reeder; Thomas Bowe; Adam J. Gordon; Hildi Hagedorn; Elizabeth M. Oliva; Anna Lembke; Daniel R. Kivlahan; Jodie A. Trafton

Although access to and consideration of pharmacological treatments for alcohol dependence are consensus standards of care, receipt of these medications by patients is generally rare and highly variable across treatment settings. The goal of the present project was to survey and interview the clinicians, managers, and pharmacists affiliated with addiction treatment programs within Veterans Health Administration (VHA) facilities to learn about their perceptions of barriers and facilitators regarding greater and more reliable consideration of pharmacological treatments for alcohol dependence. Fifty-nine participants from 19 high-adopting and 11 low-adopting facilities completed the survey (facility-level response rate = 50%) and 23 participated in a structured interview. The top 4 barriers to increased consideration and use of pharmacotherapy for alcohol dependence were consistent across high- and low-adopting facilities and included perceived low patient demand, pharmacy procedures or formulary restrictions, lack of provider skills or knowledge regarding pharmacotherapy for alcohol dependence, and lack of confidence in treatment effectiveness. Low patient demand was rated as the most important barrier for oral naltrexone and disulfiram, whereas pharmacy or formulary restrictions were rated as the most important barrier for acamprosate and extended-release naltrexone. The 4 strategies rated across low- and high-adopting facilities as most likely to facilitate consideration and use of pharmacotherapy for alcohol dependence were more education to patients about existing medications, more education to health care providers about medications, increased involvement of physicians in treatment for alcohol dependence, and more compelling research on existing medications. This knowledge provides a foundation for designing, deploying, and evaluating targeted implementation efforts.


Journal of Bone and Joint Surgery, American Volume | 2014

Many diabetic total joint arthroplasty candidates are unable to achieve a preoperative hemoglobin A1c goal of 7% or less.

Nicholas J. Giori; Laura S. Ellerbe; Thomas Bowe; Shalini Gupta; Alex H. S. Harris

BACKGROUND Patients with poorly controlled diabetes have an elevated risk of complications and death following total joint arthroplasty. Some centers set a threshold hemoglobin A1c (HbA1c) value above which surgery is delayed pending better glycemic control. The purpose of this study was to examine how many diabetic patients scheduled for primary total joint arthroplasty underwent a delay because of an HbA1c value of >7.0%, how many subsequently achieved this goal, and how much time was necessary to achieve this goal. METHODS The study involved a retrospective chart review at one Veterans Affairs medical center. Patients with an HbA1c of >7.0% were referred to their primary care provider for better diabetic control. Unless reduction of the HbA1c to ≤7.0% was deemed medically inadvisable, surgery proceeded only after the patient returned with an HbA1c of ≤7.0%. RESULTS A total of 404 diabetic patients were scheduled for total joint arthroplasty. In fifty-nine cases, the surgery was delayed because of an HbA1c of >7.0%. Thirty-five of these patients were able to reduce the HbA1c level to ≤7.0% after a median of 141 days (range, seven to 1043 days), and twenty-four failed to achieve this goal. If an HbA1c goal of ≤8.0% had been used, the surgery would have been delayed in thirty cases, and twenty-one of these patients would have subsequently achieved the goal. CONCLUSIONS When establishing a goal designed to reduce perioperative risks, there should be an expectation that the goal is achievable. Overall, an HbA1c of ≤7.0% was achieved by 380 of the 404 diabetic patients (94%; 95% confidence interval [CI], 91% to 96%), but it was achieved by only thirty-five (59%; 95% CI, 46% to 72%) of the fifty-nine patients presenting with an HbA1c of >7.0%. An HbA1c of 8.0% was achieved by 395 (98%; 95% CI, 96% to 99%) of the diabetic patients and by twenty-one (70%; 95% CI, 50% to 85%) of the thirty patients presenting with an HbA1c of >8.0%. Achieving an HbA1c value of ≤7.0% may not be possible for certain diabetic patients, and such a requirement may risk access to total joint arthroplasty treatment.


Medical Care | 2009

Developing and validating process measures of health care quality: an application to alcohol use disorder treatment.

Alex H. S. Harris; Daniel R. Kivlahan; Thomas Bowe; John W. Finney; Keith Humphreys

Background:Health care process quality measures usually are designed by expert panels attempting to synthesize nuanced clinical evidence and subsequently operationalized using administrative data. Many quality measures are then adopted without directly validating their presumed links with outcomes. Later efforts to validate process measures often yield negative results, leaving policy makers without a defensible means of measuring quality. This article presents an alternative strategy for developing and validating process quality measures. The development of an alcohol use disorder (AUD) treatment quality measure is used as an example. Methods:An expert panel generated a range of candidate process quality measures of AUD treatment derivable from administrative data that were then tested to determine which had the strongest associations with facility- and patient-level outcomes. Outcome and process data were from 2701 US Veterans Health Administration patients starting a new episode of care at 54 VA facilities. Results:Several of the candidate process-of-care quality measures predicted facility- and patient-level outcomes. Having at least 3 visits during the first month of specialty AUD treatment was correlated with improvement on the Addiction Severity Index Alcohol composite at the facility level, r = 0.41 (95% Confidence Interval 0.16–0.61), and at the patient level, r = 0.07 (CI: 0.03–0.11). Conclusions:These “prevalidated” quality measures can now be judged for the extent they map onto the extant clinical literature and other design requirements. The development and validation strategy we describe should aid in efficiently producing quality measures in other areas of health care.


Population Health Management | 2009

HEDIS Initiation and Engagement Quality Measures of Substance Use Disorder Care: Impact of Setting and Health Care Specialty

Alex H. S. Harris; Thomas Bowe; John W. Finney; Keith Humphreys

Many health care systems track the HEDIS measures of initiation and engagement in substance use disorder (SUD) care. However, the impact of setting of care (inpatient vs. outpatient) and health care specialty (SUD, psychiatric, other) on the likelihood of patients meeting the initiation and engagement criteria are unknown. If the vast majority of initiation and engagement occurs within SUD specialty clinics, then these quality measures could be used to discriminate among and incentivize SUD clinic managers. However, if these criteria are satisfied in different settings and specialties, then they should be considered characteristics of the entire facility, rather than just specialty SUD units. Using a Markov model, the probabilities of advancing to treatment initiation and engagement given initial setting and specialty of care were estimated for 320,238 SUD-diagnosed Veterans Health Affairs (VA) patients. Patients in SUD specialty units progressed more often (diagnosis to initiation, initiation to engagement) than patients in other specialties. Progression through the criteria differed for inpatients vs. outpatients. Approximately 25% of initiation and over 40% of engagement occurred outside of SUD specialty care. VA patients who have contact with SUD specialty treatment have higher rates of advancing to initiation, and from initiation to engagement, compared to SUD-diagnosed patients in psychiatric or other medical locations. Even so, a substantial portion of initiation and engagement occurs outside of SUD specialty units. Therefore, these quality measures should be considered measures of facility performance rather than measures of the quality of SUD specialty care. The usual combining of inpatient and outpatient performance on these measures into overall facility scores clouds measurement and interpretation.


Psychological Services | 2017

Development and applications of the Veterans Health Administration’s Stratification Tool for Opioid Risk Mitigation (STORM) to improve opioid safety and prevent overdose and suicide.

Elizabeth M. Oliva; Thomas Bowe; Sara Tavakoli; Susana B. Martins; Eleanor T. Lewis; Meenah Paik; Ilse R. Wiechers; Patricia Henderson; Michael Harvey; Tigran Avoundjian; Amanuel Medhanie; Jodie A. Trafton

Concerns about opioid-related adverse events, including overdose, prompted the Veterans Health Administration (VHA) to launch an Opioid Safety Initiative and Overdose Education and Naloxone Distribution program. To mitigate risks associated with opioid prescribing, a holistic approach that takes into consideration both risk factors (e.g., dose, substance use disorders) and risk mitigation interventions (e.g., urine drug screening, psychosocial treatment) is needed. This article describes the Stratification Tool for Opioid Risk Mitigation (STORM), a tool developed in VHA that reflects this holistic approach and facilitates patient identification and monitoring. STORM prioritizes patients for review and intervention according to their modeled risk for overdose/suicide-related events and displays risk factors and risk mitigation interventions obtained from VHA electronic medical record (EMR)-data extracts. Patients’ estimated risk is based on a predictive risk model developed using fiscal year 2010 (FY2010: 10/1/2009–9/30/2010) EMR-data extracts and mortality data among 1,135,601 VHA patients prescribed opioid analgesics to predict risk for an overdose/suicide-related event in FY2011 (2.1% experienced an event). Cross-validation was used to validate the model, with receiver operating characteristic curves for the training and test data sets performing well (>.80 area under the curve). The predictive risk model distinguished patients based on risk for overdose/suicide-related adverse events, allowing for identification of high-risk patients and enrichment of target populations of patients with greater safety concerns for proactive monitoring and application of risk mitigation interventions. Results suggest that clinical informatics can leverage EMR-extracted data to identify patients at-risk for overdose/suicide-related events and provide clinicians with actionable information to mitigate risk.

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Alex H. S. Harris

VA Palo Alto Healthcare System

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Shalini Gupta

VA Palo Alto Healthcare System

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Laura S. Ellerbe

VA Palo Alto Healthcare System

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Jodie A. Trafton

VA Palo Alto Healthcare System

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John W. Finney

VA Palo Alto Healthcare System

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Tyler E. Phelps

VA Palo Alto Healthcare System

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