1,029 results on '"Bradley, Katharine A."'
Search Results
2. Prevalence of alcohol use disorders documented in electronic health records in primary care across intersections of race or ethnicity, sex, and socioeconomic status
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Ellis, Robert L., Hallgren, Kevin A., Williams, Emily C., Glass, Joseph E., Rhew, Isaac C., Oliver, Malia, and Bradley, Katharine A.
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- 2024
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3. Tools to implement measurement-based care (MBC) in the treatment of opioid use disorder (OUD): toward a consensus
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Rush, A. John, Gore-Langton, Robert E., Bart, Gavin, Bradley, Katharine A., Campbell, Cynthia I., McKay, James, Oslin, David W., Saxon, Andrew J., Winhusen, T. John, Wu, Li-Tzy, Moran, Landhing M., and Tai, Betty
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- 2024
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4. The opioid use disorder core outcomes set (OUD-COS) for treatment research: findings from a Delphi consensus study.
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Karnik, Niranjan, Marsden, John, McCluskey, Connor, Boley, Randy, Bradley, Katharine, Campbell, Cynthia, Curtis, Megan, Fiellin, David, Ghitza, Udi, Hefner, Kathryn, Hser, Yih-Ing, McHugh, R, McPherson, Sterling, Mooney, Larissa, Moran, Landhing, Murphy, Sean, Schwartz, Robert, Shmueli-Blumberg, Dikla, Shulman, Matisyahu, Stephens, Kari, Watkins, Katherine, Weiss, Roger, and Wu, Li-Tzy
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Core outcomes set ,Delphi consensus ,US National Institute on Drug Abuse ,efficacy and effectiveness research ,opioid treatment cascade ,opioid use disorder ,Analgesics ,Opioid ,Consensus ,Delphi Technique ,Humans ,Opioid-Related Disorders ,Outcome Assessment ,Health Care ,Research Design ,United States - Abstract
BACKGROUND AND AIM: There is no gold-standard and considerable heterogeneity in outcome measures used to evaluate treatments for opioid use disorder (OUD) along the opioid treatment cascade. The aim of this study was to develop the US National Institute on Drug Abuse (NIDA) National Drug Abuse Treatment Clinical Trials Network (CTN) opioid use disorder core outcomes set (OUD-COS). DESIGN: Four-round, e-Delphi expert panel consensus study and plenary research group discussion and targeted consultation. SETTING: United States. PARTICIPANTS: A panel of 25 members including clinical practitioners, clinical researchers and administrative staff from the CTN, the networks affiliated clinical and community sites and the NIDA Centre for the CTN. MEASUREMENTS: From a pool of 24 candidate items in four domains (biomedical/disease status; behaviors, symptoms and functioning; opioid treatment cascade; and morbidity and mortality), the panel completed an on-line questionnaire to rank items with defined specification on a 9-point scale for importance, with a standard 70% consensus criterion. FINDINGS: After the fourth round of the questionnaire and subsequent discussion, consensus was reached for five outcomes: two patient-reported (global impression of improvement and incident non-fatal overdose); one clinician-reported (illicit/non-medical drug toxicology); and two from administrative records (duration of treatment and fatal opioid poisoning). CONCLUSIONS: An e-Delphi consensus study has produced the US National Institute on Drug Abuse (NIDA) National Drug Abuse Treatment Clinical Trials Network opioid use disorder core outcomes set (version 1) for opioid use disorder treatment efficacy and effectiveness research.
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- 2022
5. The Effect of Bariatric Surgery on Long-term Depression Treatment in Patients With Obesity.
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Smith, Valerie, Maciejewski, Matthew, Berkowitz, Theodore, Mitchell, James, Liu, Chuan-Fen, Bradley, Katharine, Olsen, Maren, Arterburn, David, and Livingston, Edward
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Bariatric Surgery ,Depression ,Gastrectomy ,Gastric Bypass ,Humans ,Laparoscopy ,Obesity ,Postoperative Complications ,Retrospective Studies ,Treatment Outcome - Abstract
OBJECTIVE: In a large multisite cohort of Veterans who underwent Roux-en-Y gastric bypass (RYGB) or laparoscopic sleeve gastrectomy (LSG), initiation of (ie, incident) and persistence of (ie, continuation of preoperative) depression treatment are compared with matched nonsurgical controls. BACKGROUND: Bariatric surgery has been associated with short-term improvements in depression but less is known about longer term outcomes. METHODS: In a retrospective cohort study, we matched 1713 Veterans with depression treatment who underwent bariatric surgery in Veterans Administration bariatric centers from fiscal year 2001 to 2016 to 15,056 nonsurgical controls using sequential stratification and examined the persistence of depression treatment via generalized estimating equations. Incidence of depression treatment was compared using Cox regression models between 2227 surgical patients and 20,939 matched nonsurgical controls without depression treatment at baseline. RESULTS: In surgical patients with depression treatment at baseline, the use of postsurgical depression treatment declined over time for both surgical procedures, but postsurgical patients had greater use of depression treatment at 5 years [RYGB: odds ratio=1.24, 95% confidence interval (CI): 1.04-1.49; LSG: odds ratio=1.27, 95% CI: 1.04-1.56] compared with controls. Among those without depression treatment at baseline, bariatric surgery was associated with a higher incidence of depression treatment compared with matched controls (RYGB: hazard ratio=1.34, 95% CI: 1.17-1.53; LSG: hazard ratio at 1-5 years=1.27, 95% CI: 1.10-1.47). CONCLUSIONS: Bariatric surgery was associated with a greater risk of postoperative incident depression treatment and greater persistence of postoperative depression treatment. Depression may worsen for some patients after bariatric surgery, so clinicians should carefully monitor their patients for depression postoperatively.
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- 2022
6. Offering nurse care management for opioid use disorder in primary care: Impact on emergency and hospital utilization in a cluster-randomized implementation trial
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Bobb, Jennifer F., Idu, Abisola E., Qiu, Hongxiang, Yu, Onchee, Boudreau, Denise M., Wartko, Paige D., Matthews, Abigail G., McCormack, Jennifer, Lee, Amy K., Campbell, Cynthia I., Saxon, Andrew J., Liu, David S., Altschuler, Andrea, Samet, Jeffrey H., Northrup, Thomas F., Braciszewski, Jordan M., Murphy, Mark T., Arnsten, Julia H., Cunningham, Chinazo O., Horigian, Viviana E., Szapocznik, José, Glass, Joseph E., Caldeiro, Ryan M., Tsui, Judith I., Burganowski, Rachael P., Weinstein, Zoe M., Murphy, Sean M., Hyun, Noorie, and Bradley, Katharine A.
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- 2024
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7. Study protocol for a factorial-randomized controlled trial evaluating the implementation, costs, effectiveness, and sustainment of digital therapeutics for substance use disorder in primary care (DIGITS Trial)
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Glass, Joseph E., Dorsey, Caitlin N., Beatty, Tara, Bobb, Jennifer F., Wong, Edwin S., Palazzo, Lorella, King, Deborah, Mogk, Jessica, Stefanik-Guizlo, Kelsey, Idu, Abisola, Key, Dustin, Fortney, John C., Thomas, Rosemarie, McWethy, Angela Garza, Caldeiro, Ryan M., and Bradley, Katharine A.
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- 2023
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8. Test-retest reliability of DSM-5 substance use symptom checklists used in primary care and mental health care settings
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Hallgren, Kevin A., Matson, Theresa E., Oliver, Malia, Wang, Xiaoming, Williams, Emily C., and Bradley, Katharine A.
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- 2024
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9. Association between cannabis use disorder symptom severity and probability of clinically-documented diagnosis and treatment in a primary care sample
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Matson, Theresa E., Williams, Emily C., Lapham, Gwen T., Oliver, Malia, Hallgren, Kevin A., and Bradley, Katharine A.
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- 2023
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10. Alcohol Use and Antiretroviral Adherence Among Patients Living with HIV: Is Change in Alcohol Use Associated with Change in Adherence?
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Williams, Emily C, McGinnis, Kathleen A, Rubinsky, Anna D, Matson, Theresa E, Bobb, Jennifer F, Lapham, Gwen T, Edelman, E Jennifer, Satre, Derek D, Catz, Sheryl L, Richards, Julie E, Bryant, Kendall J, Marshall, Brandon DL, Kraemer, Kevin L, Crystal, Stephen, Gordon, Adam J, Skanderson, Melissa, Fiellin, David A, Justice, Amy C, and Bradley, Katharine A
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Clinical Research ,Aging ,Behavioral and Social Science ,HIV/AIDS ,Substance Misuse ,Alcoholism ,Alcohol Use and Health ,Infectious Diseases ,Prevention ,Evaluation of treatments and therapeutic interventions ,6.1 Pharmaceuticals ,Good Health and Well Being ,Aged ,Alcohol Drinking ,Anti-Retroviral Agents ,Cohort Studies ,Female ,HIV Infections ,Humans ,Male ,Medication Adherence ,Middle Aged ,HIV ,ART ,Antiretroviral therapy ,Adherence ,Alcohol use ,Public Health and Health Services ,Social Work ,Public Health - Abstract
Alcohol use increases non-adherence to antiretroviral therapy (ART) among persons living with HIV (PLWH). Dynamic longitudinal associations are understudied. Veterans Aging Cohort Study (VACS) data 2/1/2008-7/31/16 were used to fit linear regression models estimating changes in adherence (% days with ART medication fill) associated with changes in alcohol use based on annual clinically-ascertained AUDIT-C screening scores (range - 12 to + 12, 0 = no change) adjusting for demographics and initial adherence. Among 21,275 PLWH (67,330 observations), most reported no (48%) or low-level (39%) alcohol use initially, with no (55%) or small (39% ≤ 3 points) annual change. Mean initial adherence was 86% (SD 21%), mean annual change was - 3.1% (SD 21%). An inverted V-shaped association was observed: both increases and decreases in AUDIT-C were associated with greater adherence decreases relative to stable scores [p
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- 2021
11. Long-term opioid use after bariatric surgery
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Maciejewski, Matthew L, Smith, Valerie A, Berkowitz, Theodore SZ, Arterburn, David E, Bradley, Katharine A, Olsen, Maren K, Liu, Chuan-Fen, Livingston, Edward H, Funk, Luke M, and Mitchell, James E
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Pharmacology and Pharmaceutical Sciences ,Biomedical and Clinical Sciences ,Clinical Sciences ,Digestive Diseases ,Chronic Pain ,Obesity ,Clinical Research ,Patient Safety ,Prevention ,Pain Research ,Evaluation of treatments and therapeutic interventions ,6.4 Surgery ,Analgesics ,Opioid ,Bariatric Surgery ,Gastrectomy ,Gastric Bypass ,Humans ,Laparoscopy ,Obesity ,Morbid ,Retrospective Studies ,Weight Loss ,Opioid ,Medication ,Surgery ,Bariatric ,Gastric bypass ,Sleeve gastrectomy ,Veterans ,Matching ,Public Health and Health Services ,Clinical sciences ,Public health - Abstract
BackgroundOpioid analgesics are often prescribed to manage pain after bariatric surgery, which may develop into chronic prescription opioid use (CPOU) in opioid-naïve patients. Bariatric surgery may affect opioid use in those with or without presurgical CPOU.ObjectiveTo compare CPOU persistence and incidence in a large multisite cohort of veterans undergoing bariatric surgery (open Roux-en-Y gastric bypass, laparoscopic RYGB, or laparoscopic sleeve gastrectomy) and matched nonsurgical controls.SettingVeterans Administration hospitals.MethodsIn a retrospective cohort study, we matched 1117 surgical patients with baseline CPOU to 9531 nonsurgical controls, and 2822 surgical patients without CPOU at baseline to 26,392 nonsurgical controls using sequential stratification. CPOU persistence in veterans with baseline CPOU was estimated using generalized estimating equations by procedure type. CPOU incidence in veterans without baseline CPOU was estimated in Cox regression models by procedure type because postoperative pain, complications, and absorption may differ by procedure.ResultsIn veterans with baseline CPOU, postsurgical CPOU declined over time for each surgical procedure; these trends did not differ between surgical patients and nonsurgical controls. In veterans without baseline CPOU, compared with nonsurgical controls, bariatric patients had higher CPOU incidence within 5 years after open Roux-en-Y gastric bypass (hazard ratio = 1.19; 95% confidence interval: 1.06-1.34) or laparoscopic open Roux-en-Y gastric bypass (hazard ratio = 1.22, 95% confidence interval: 1.06-1.41). Veterans undergoing laparoscopic sleeve gastrectomy had higher CPOU incidence 1 to 5 years after surgery (hazard ratio = 1.28; 95% confidence interval: 1.05-1.56) than nonsurgical controls.ConclusionsBariatric surgery was associated with greater risk of CPOU incidence in patients without baseline CPOU but was not associated with greater CPOU persistence.
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- 2020
12. Association between clinical measures of unhealthy alcohol use and subsequent year hospital admissions in a primary care population
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Jack, Helen E., Oliver, Malia M., Berger, Douglas B., Bobb, Jennifer F., Bradley, Katharine A., and Hallgren, Kevin A.
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- 2023
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13. Food Sovereignty Education Across the Americas: Multiple Origins, Converging Movements
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Meek, David, Bradley, Katharine, Ferguson, Bruce, Hoey, Lesli, Morales, Helda, Rosset, Peter, Tarlau, Rebecca, Anderson, Colin R., editor, Binimelis Adell, Rosa, editor, Pimbert, Michel P., editor, and Rivera Ferre, Marta, editor
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- 2022
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14. Bariatric Surgery and Suicide Risk in Patients With Obesity
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Hung, Anna, Maciejewski, Matthew L., Berkowitz, Theodore S.Z., Arterburn, David E., Mitchell, James E., Bradley, Katharine A., Kimbrel, Nathan A., and Smith, Valerie A.
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- 2023
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15. Practical Assessment of Alcohol Use Disorder in Routine Primary Care: Performance of an Alcohol Symptom Checklist
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Hallgren, Kevin A., Matson, Theresa E., Oliver, Malia, Witkiewitz, Katie, Bobb, Jennifer F., Lee, Amy K., Caldeiro, Ryan M., Kivlahan, Daniel, and Bradley, Katharine A.
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- 2022
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16. HIV Disease Severity Is Sensitive to Temporal Changes in Alcohol Use: A National Study of VA Patients With HIV.
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Williams, Emily C, McGinnis, Kathleen A, Tate, Janet P, Matson, Theresa E, Rubinsky, Anna D, Bobb, Jennifer F, Lapham, Gwen T, Edelman, E Jennifer, Catz, Sheryl L, Satre, Derek D, Bryant, Kendall J, Marshall, Brandon DL, Kraemer, Kevin L, Bensley, Kara M, Richards, Julie E, Skanderson, Melissa, Justice, Amy C, Fiellin, David A, and Bradley, Katharine A
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Biomedical and Clinical Sciences ,Public Health ,Health Sciences ,Clinical Research ,Alcoholism ,Alcohol Use and Health ,Prevention ,Substance Misuse ,Infectious Diseases ,HIV/AIDS ,Stroke ,Oral and gastrointestinal ,Cardiovascular ,Good Health and Well Being ,Aged ,Alcohol Drinking ,Alcoholism ,Cohort Studies ,Ethnicity ,Female ,Follow-Up Studies ,HIV Infections ,Humans ,Male ,Middle Aged ,Racial Groups ,Severity of Illness Index ,Veterans ,HIV ,alcohol ,HIV disease severity ,VACS Index ,alcohol use ,Clinical Sciences ,Public Health and Health Services ,Virology ,Clinical sciences ,Epidemiology ,Public health - Abstract
BackgroundAlcohol use influences HIV disease severity through multiple mechanisms. Whether HIV disease severity is sensitive to changes in alcohol use among people with HIV (PWH) is understudied.SettingNational Veterans Health Administration.MethodsPairs of AUDIT-C screens within 9-15 months (February 1, 2008-September 30, 2014) were identified among PWH from the Veterans Aging Cohort Study (VACS). Initial and follow-up VACS Index 2.0 pairs obtained 0-270 days after initial and follow-up AUDIT-Cs, respectively, determined change in VACS Index 2.0, a composite HIV severity measure. Change in VACS Index 2.0 was regressed on AUDIT-C change scores (-12 to +12) adjusted for demographics, initial VACS Index 2.0, and days between VACS Index measures.ResultsAmong 23,297 PWH (76,202 observations), most had no (51%) or low-level (38%) alcohol use initially. Most (54%) had no subsequent change; 21% increased and 24% decreased drinking. Initial VACS Index 2.0 scores ranged from 0 to 134, change scores ranged from -65 to +73, with average improvement of 0.76 points (SD 9.48). AUDIT-C change was associated with VACS Index 2.0 change (P < 0.001). Among those with stable alcohol use (AUDIT-C change ≤ │1│ point), VACS Index 2.0 improvements ranged 0.36-0.60 points. For those with maximum AUDIT-C increase (change from 0 to 12), VACS Index 2.0 worsened 3.74 points (95% CI: -4.71 to -2.78); for those with maximum AUDIT-C decrease (change from 12 to 0), VACS Index 2.0 changed minimally [-0.60 (95% CI: -1.43 to 0.23)].ConclusionsIn this national sample, improvement in HIV severity was generally greatest among those with stable alcohol use (primarily those with no use).
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- 2019
17. Level of Alcohol Use Associated with HIV Care Continuum Targets in a National U.S. Sample of Persons Living with HIV Receiving Healthcare.
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Williams, Emily C, McGinnis, Kathleen A, Edelman, E Jennifer, Matson, Theresa E, Gordon, Adam J, Marshall, Brandon DL, Bryant, Kendall J, Rubinsky, Anna D, Lapham, Gwen T, Satre, Derek D, Richards, Julie E, Catz, Sheryl L, Fiellin, David A, Justice, Amy C, and Bradley, Katharine A
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Humans ,HIV Infections ,Anti-HIV Agents ,Viral Load ,Retrospective Studies ,Alcohol Drinking ,Health Behavior ,Middle Aged ,Veterans ,Continuity of Patient Care ,United States ,Female ,Male ,Medication Adherence ,Alcohol ,Antiretroviral therapy ,Care continuum ,HIV ,Treatment cascade ,Viral suppression ,Substance Misuse ,Infectious Diseases ,Behavioral and Social Science ,Brain Disorders ,Clinical Research ,HIV/AIDS ,Health Services ,Alcoholism ,Alcohol Use and Health ,Infection ,Oral and gastrointestinal ,Good Health and Well Being ,Public Health and Health Services ,Social Work ,Public Health - Abstract
We evaluated associations between levels of alcohol use and HIV care continuum components using national Veterans Aging Cohort Study data for all patients with HIV and AUDIT-C screening (2/1/2008-9/30/2014). Poisson regression models evaluated associations between alcohol use levels (non-drinking, low-, medium-, high-, and very high-level drinking) and: (1) engagement with care (documented CD4 cells/µl or viral load copies/ml labs), (2) ART treatment (≥ 1 prescription), and (3) viral suppression (HIV RNA
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- 2019
18. Retaining Members of Community Supported Agriculture (CSA) in California for Economic Sustainability: What Characteristics Affect Retention Rates?
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Galt, Ryan E, Van Soelen Kim, Julia, Munden-Dixon, Kate, Christensen, Libby O, and Bradley, Katharine
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community supported agriculture ,economic sustainability ,retention rates ,competition ,CSA management ,Built Environment and Design - Abstract
Community supported agriculture (CSA) is one response to major ecological and social problems in the conventional agrifood system. Here we are concerned with how CSA management can enhance the economic sustainability of CSAs. More specifically, using a survey of 111 CSA farms in California, we analyze how specific variables in five domains-CSA management characteristics, farmer characteristics, farm characteristics, economic characteristics, and region-influence retention rates (the proportion of CSA members continuing from one year to the next). Our analysis involves first conducting bivariate correlations, then building a simple causal model that theorizes the direction of causation, then constructing a series of ordinary least squares (OLS) multiple regression models to hold constant independent variables. Our discussion draws out recommendations from our findings for CSA farmers and organizations that support CSA, including increasing the length of the season, increasing crop type diversity, including fruit in standard shares, bringing farming practices into line with organic standards, working with other CSAs to reduce inter-CSA competition, and changing marketing regions for farms in certain regions that appear to be highly saturated. We conclude by identifying more collective routes that CSAs can take to cultivate "CSA people" for a more sustainable economic dimension of CSAs in the long term.
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- 2019
19. The (un)making of “CSA people”: Member retention and the customization paradox in Community Supported Agriculture (CSA) in California
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Galt, Ryan E, Bradley, Katharine, Christensen, Libby O, and Munden-Dixon, Kate
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Community Supported Agriculture ,Member retention ,Retention rates ,Former CSA members ,CSA people ,Alternative food networks ,Urban and Regional Planning ,Human Geography ,Sociology ,Geography - Abstract
Community Supported Agriculture (CSA) faces substantial challenges in increasingly saturated and competitive markets in which competitors highlight their localness. Retention of members is crucial for the model to provide benefits to farmers; otherwise, excessive losses of members requires considerable recruitment efforts and undercuts farmer well-being. We conducted statewide research on CSAs in California, including surveys of 409 former members, 1149 current members, and 111 CSA farmers, to examine former members' reasons for leaving. We answer three questions: How do former and current members differ in their satisfaction with CSA? Why do former members leave their CSAs? And, does share customization increase retention rates? Examining the datasets together shows what we call the CSA customization paradox: while it appears that former members' primary reasons for leaving could be addressed by offering them share customization, the farm-level data shows that offering share customization has no effect on CSAs' retention rates. The discussion offers three hypotheses to further examine the CSA customization paradox, and argues for a deeper theorization of CSA people to understand the limitations of share customization as a strategy for member retention. We conclude with specific routes that CSAs can take, individually and collectively, to retain members and cultivate CSA people.
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- 2019
20. Exploring member data for Community Supported Agriculture (CSA) in California: Comparisons of former and current CSA members
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Galt, Ryan E, Bradley, Katharine, Christensen, Libby O, and Munden-Dixon, Kate
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Human Geography ,Sociology ,Human Society ,Basic Behavioral and Social Science ,Behavioral and Social Science - Abstract
This article is a description of data related to the research article entitled "The (un)making of 'CSA people': member retention and the customization paradox in Community Supported Agriculture (CSA) in California" (Galt et al., in press). The data presented were collected through two statewide surveys, conducted via internet-based questionnaire, related to Community Supported Agriculture in California: a former CSA member survey, and a current CSA member survey. We gathered responses for these surveys from April 2014 to January 2015. The data include responses from 409 former CSA members (those who had left) from 27 CSAs and 1149 current CSA members from 41 CSAs. The data tables included here contain information relevant to the retention of CSA members and other concerns, and come from two analyses: 1) comparisons of characteristics of former and current CSA members, and 2) importance-satisfaction analysis (ISA) of former and current CSA members' experiences with CSA. We make the detailed results of these analyses available in this article so they can inform other researchers' analyses of the increasingly important phenomenon of CSA member retention, and, more generally, customers' participation in and satisfaction with a variety of alternative food networks (AFNs).
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- 2018
21. An Alcohol Symptom Checklist identifies high rates of alcohol use disorder in primary care patients who screen positive for depression and high-risk drinking
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Ryan, Emma D., Chang, Yanni M., Oliver, Malia, Bradley, Katharine A., and Hallgren, Kevin A.
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- 2022
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22. Baseline representativeness of patients in clinics enrolled in the PRimary care Opioid Use Disorders treatment (PROUD) trial: comparison of trial and non-trial clinics in the same health systems
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Wartko, Paige D, Qiu, Hongxiang, Idu, Abisola E., Yu, Onchee, McCormack, Jennifer, Matthews, Abigail G., Bobb, Jennifer F., Saxon, Andrew J., Campbell, Cynthia I., Liu, David, Braciszewski, Jordan M., Murphy, Sean M., Burganowski, Rachael P., Murphy, Mark T., Horigian, Viviana E., Hamilton, Leah K., Lee, Amy K., Boudreau, Denise M., and Bradley, Katharine A.
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- 2022
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23. Benzodiazepine Treatment and Hospital Course of Medical Inpatients With Alcohol Withdrawal Syndrome in the Veterans Health Administration
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Steel, Tessa L., Malte, Carol A., Bradley, Katharine A., and Hawkins, Eric J.
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- 2022
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24. Changes in alcohol use associated with changes in HIV disease severity over time: A national longitudinal study in the Veterans Aging Cohort
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Williams, Emily C, McGinnis, Kathleen A, Bobb, Jennifer F, Rubinsky, Anna D, Lapham, Gwen T, Skanderson, Melissa, Catz, Sheryl L, Bensley, Kara M, Richards, Julie E, Bryant, Kendall J, Edelman, E Jennifer, Satre, Derek D, Marshall, Brandon DL, Kraemer, Kevin L, Blosnich, John R, Crystal, Stephen, Gordon, Adam J, Fiellin, David A, Justice, Amy C, and Bradley, Katharine A
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Biomedical and Clinical Sciences ,Public Health ,Health Sciences ,HIV/AIDS ,Infectious Diseases ,Alcoholism ,Alcohol Use and Health ,Substance Misuse ,Sexually Transmitted Infections ,Good Health and Well Being ,Adult ,Aged ,Aging ,Alcohol Drinking ,Female ,HIV Infections ,Humans ,Longitudinal Studies ,Male ,Middle Aged ,Severity of Illness Index ,Veterans ,HIV ,CD4 ,Viral load ,Alcohol use ,Alcohol use disorders ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Substance Abuse ,Biochemistry and cell biology ,Pharmacology and pharmaceutical sciences ,Epidemiology - Abstract
BackgroundAmong groups of persons living with HIV (PLWH), high-risk drinking trajectories are associated with HIV severity. Whether changes in individuals' alcohol use are associated with changes in HIV severity over the same period is unknown.MethodsVeterans Aging Cohort Study (VACS) data from VA's EHR (2/1/2008-9/30/2016) identified AUDIT-C screens for all PLWH. Pairs of AUDIT-C screens within 9-15 months were included if CD4 and/or viral load (VL) was measured within 9 months after baseline and follow-up AUDIT-Cs. Linear regression assessed change in HIV severity (CD4 and logVL) associated with AUDIT-C change adjusted for confounders. Mean changes in HIV severity were estimated for each AUDIT-C change value. For all measures of change, positive values indicate improvements (lower drinking and improved HIV severity).ResultsAmong PLWH, 21,999 and 22,143 were eligible for CD4 and VL analyses, respectively. Most had non- or low-level drinking and stable consumption over time (mean AUDIT-C change = .08, SD = 1.91). HIV severity improved over time [mean CD4 change = 20.5 (SD 180.8); mean logVL change = 0.12 (SD 0.71)]. AUDIT-C changes were associated non-linearly with changes in CD4 (p = 0.03) and logVL (p
- Published
- 2018
25. Documented brief intervention not associated with resolution of unhealthy alcohol use one year later among VA patients living with HIV.
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Williams, Emily C, Lapham, Gwen T, Bobb, Jennifer F, Rubinsky, Anna D, Catz, Sheryl L, Shortreed, Susan M, Bensley, Kara M, and Bradley, Katharine A
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Humans ,HIV Infections ,Alcoholism ,United States Department of Veterans Affairs ,Adult ,Aged ,Middle Aged ,Veterans ,United States ,Female ,Male ,Alcohol ,Brief intervention ,HIV ,Unhealthy alcohol use ,Substance Misuse ,Alcoholism ,Alcohol Use and Health ,Infectious Diseases ,Clinical Research ,Prevention ,Screening And Brief Intervention For Substance Abuse ,HIV/AIDS ,Cancer ,Cardiovascular ,Stroke ,Oral and gastrointestinal ,Good Health and Well Being ,Public Health and Health Services ,Psychology ,Substance Abuse - Abstract
ObjectiveUnhealthy alcohol use is particularly risky for patients living with HIV (PLWH). Brief interventions reduce drinking among patients with unhealthy alcohol use, but whether its receipt in routine outpatient settings is associated with reduced drinking among PLWH with unhealthy alcohol use is unknown. We assessed whether PLWH who screened positive for unhealthy alcohol use were more likely to resolve unhealthy drinking one year later if they had brief alcohol intervention (BI) documented in their electronic health record in a national sample of PLWH from the Veterans Health Administration.MethodsSecondary VA clinical and administrative data from the electronic medical record (EMR) were used to identify all positive alcohol screens (AUDIT-C score≥5) documented among PLWH (10/01/09-5/30/13) followed by another alcohol screen documented 9-15months later. Unadjusted and adjusted Poisson regression models assessed the association between brief intervention (advice to reduce drinking or abstain documented in EMR) and resolution of unhealthy alcohol use (follow-up AUDIT-C
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- 2017
26. What difference does income make for Community Supported Agriculture (CSA) members in California? Comparing lower-income and higher-income households
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Galt, Ryan E, Bradley, Katharine, Christensen, Libby, Fake, Cindy, Munden-Dixon, Kate, Simpson, Natasha, Surls, Rachel, and Van Soelen Kim, Julia
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Basic Behavioral and Social Science ,Behavioral and Social Science ,Community Supported Agriculture ,Lower-income households ,Higher-income households ,Race and ethnicity ,Disproportionality ,Consumption ,Applied Economics ,Sociology ,Geography - Abstract
In the U.S. there has been considerable interest in connecting low-income households to alternative food networks like Community Supported Agriculture (CSA). To learn more about this possibility we conducted a statewide survey of CSA members in California. A total of 1149 members from 41 CSAs responded. Here we answer the research question: How do CSA members’ (1) socioeconomic and demographic backgrounds, (2) household conditions potentially interfering with membership, and (3) CSA membership experiences vary between lower-income households (LIHHs) and higher-income households (HIHHs)? We divided members into LIHHs (making under $50,000 annually) and HIHHs (making over $50,000 annually). We present comparisons of LIHHs’ and HIHHs’ (1) employment, race/ethnicity, household composition and education, use of food support, and enjoyment of food-related activities; (2) conditions interfering with membership and major life events; and (3) sources of information influencing decision to join, reasons for joining, ratings of importance of and satisfaction with various CSA attributes, gaps between importance of and satisfaction with various CSA attributes, valuing of the share and willingness to pay more, and impacts of membership. We find that LIHHs are committed CSA members, often more so than HIHHs, and that CSA members in California are disproportionately white, but that racial disproportionality decreases as incomes increase. We conclude by considering: (1) the economic risks that LIHHs face in CSA membership, (2) the intersection of economic risks with race/ethnicity and cultural coding in CSA; and (3) the possibilities of increasing participation of LIHH in CSA.
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- 2017
27. Among patients with unhealthy alcohol use, those with HIV are less likely than those without to receive evidence-based alcohol-related care: A national VA study.
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Williams, Emily C, Lapham, Gwen T, Shortreed, Susan M, Rubinsky, Anna D, Bobb, Jennifer F, Bensley, Kara M, Catz, Sheryl L, Richards, Julie E, and Bradley, Katharine A
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Humans ,HIV Infections ,Alcoholism ,United States Department of Veterans Affairs ,Adolescent ,Adult ,Aged ,Aged ,80 and over ,Middle Aged ,Outpatients ,Veterans ,United States ,Female ,Male ,Evidence-Based Practice ,Young Adult ,Alcohol ,Alcohol use disorders ,Brief intervention ,Disparities ,HIV ,HIV/AIDS ,Substance Misuse ,Alcoholism ,Alcohol Use and Health ,Clinical Research ,Good Health and Well Being ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Substance Abuse - Abstract
BackgroundAlcohol use has important adverse effects on people living with HIV (PLWH). This study of patients with recognized unhealthy alcohol use estimated and compared rates of alcohol-related care received by PLWH and HIV- patients.MethodsOutpatients from the Veterans Health Administration who had one or more positive screen(s) for unhealthy alcohol use (AUDIT-C≥5) documented in their medical records 10/2009-5/2013 were eligible. Primary and secondary outcomes were brief intervention documented ≤14days after a positive alcohol screen, and a composite measure of any alcohol-related care (brief intervention, specialty addictions treatment or pharmacotherapy documented ≤365 days), respectively. Unadjusted and adjusted regression analyses compared alcohol-related care outcomes in PLWH and HIV- patients.ResultsThe sample included 830,825 outpatients (3,514 PLWH), reflecting 1,172,606 positive screens (1-5 per patient). For PLWH, 57.0% (95% confidence interval 55.4-58.5%) of positive screens were followed by brief intervention, compared to 73.8% (73.7-73.9%) for HIV- patients [relative rate: 0.77 (0.75-0.79), p
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- 2017
28. Prevalence and Medication Treatment of Opioid Use Disorder Among Primary Care Patients with Hepatitis C and HIV
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Tsui, Judith I., Akosile, Mary A., Lapham, Gwen T., Boudreau, Denise M., Johnson, Eric A., Bobb, Jennifer F., Binswanger, Ingrid A., Yarborough, Bobbi Jo H., Glass, Joseph E., Rossom, Rebecca C., Murphy, Mark T., Cunningham, Chinazo O., Arnsten, Julia H., Thakral, Manu, Saxon, Andrew J., Merrill, Joseph O., Samet, Jeffrey H., Bart, Gavin B., Campbell, Cynthia I., Loree, Amy M., Silva, Angela, Stotts, Angela L., Ahmedani, Brian, Braciszewski, Jordan M, Hechter, Rulin C., Northrup, Thomas F., Horigian, Viviana E., and Bradley, Katharine A.
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- 2021
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29. Cannabis use, other drug use, and risk of subsequent acute care in primary care patients
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Matson, Theresa E., Lapham, Gwen T., Bobb, Jennifer F., Johnson, Eric, Richards, Julie E., Lee, Amy K., Bradley, Katharine A., and Glass, Joseph E.
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- 2020
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30. Medication Treatment and Health Care Use Among Adolescents With Opioid Use Disorder in Ohio
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Chavez, Laura J., Bonny, Andrea E., Bradley, Katharine A., Lapham, Gwen T., Cooper, Jennifer, Miller, William, and Chisolm, Deena J.
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- 2020
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31. Documented opioid use disorder and its treatment in primary care patients across six U.S. health systems
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Boudreau, Denise M., Lapham, Gwen, Johnson, Eric A., Bobb, Jennifer F., Matthews, Abigail G., McCormack, Jennifer, Liu, David, Campbell, Cynthia I., Rossom, Rebecca C., Binswanger, Ingrid A., Yarborough, Bobbi Jo, Arnsten, Julia H., Cunningham, Chinazo O., Glass, Joseph E., Murphy, Mark T., Zare, Mohammad, Hechter, Rulin C., Ahmedani, Brian, Braciszewski, Jordan M., Horigian, Viviana E., Szapocznik, José, Samet, Jeffrey H., Saxon, Andrew J., Schwartz, Robert P., and Bradley, Katharine A.
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- 2020
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32. Prevalence and treatment of opioid use disorders among primary care patients in six health systems
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Ahmedani, Brian, Amoroso, Paul J., Arnsten, Julia H., Bart, Gavin, Braciszewski, Jordan M., Cunningham, Chinazo O., Hechter, Rulin C., Horigian, Viviana E., Liebschutz, Jane M., Loree, Amy M., Matson, Theresa E., McNeely, Jennifer, Merrill, Joseph O., Northrup, Thomas F., Schwartz, Robert P., Stotts, Angela L., Szapocznik, José, Thakral, Manu, Tsui, Judith I., Zare, Mohammad, Lapham, Gwen, Boudreau, Denise M., Johnson, Eric A., Bobb, Jennifer F., Matthews, Abigail G., McCormack, Jennifer, Liu, David, Samet, Jeffrey H., Saxon, Andrew J., Campbell, Cynthia I., Glass, Joseph E., Rossom, Rebecca C., Murphy, Mark T., Binswanger, Ingrid A., Yarborough, Bobbi Jo H., and Bradley, Katharine A.
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- 2020
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33. Proceedings of the 8th Annual Conference on the Science of Dissemination and Implementation
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Chambers, David, Simpson, Lisa, Hill-Briggs, Felicia, Neta, Gila, Vinson, Cynthia, Beidas, Rinad, Marcus, Steven, Aarons, Gregory, Hoagwood, Kimberly, Schoenwald, Sonja, Evans, Arthur, Hurford, Matthew, Rubin, Ronnie, Hadley, Trevor, Barg, Frances, Walsh, Lucia, Adams, Danielle, Mandell, David, Martin, Lindsey, Mignogna, Joseph, Mott, Juliette, Hundt, Natalie, Kauth, Michael, Kunik, Mark, Naik, Aanand, Cully, Jeffrey, McGuire, Alan, White, Dominique, Bartholomew, Tom, McGrew, John, Luther, Lauren, Rollins, Angie, Salyers, Michelle, Cooper, Brittany, Funaiole, Angie, Richards, Julie, Lee, Amy, Lapham, Gwen, Caldeiro, Ryan, Lozano, Paula, Gildred, Tory, Achtmeyer, Carol, Ludman, Evette, Addis, Megan, Marx, Larry, Bradley, Katharine, VanDeinse, Tonya, Wilson, Amy Blank, Stacey, Burgin, Powell, Byron, Bunger, Alicia, Cuddeback, Gary, Barnett, Miya, Stadnick, Nicole, Brookman-Frazee, Lauren, Lau, Anna, Dorsey, Shannon, Pullmann, Michael, Mitchell, Shannon, Schwartz, Robert, Kirk, Arethusa, Dusek, Kristi, Oros, Marla, Hosler, Colleen, Gryczynski, Jan, Barbosa, Carolina, Dunlap, Laura, Lounsbury, David, O’Grady, Kevin, Brown, Barry, Damschroder, Laura, Waltz, Thomas, Ritchie, Mona, Atkins, David, Imel, Zac E, Xiao, Bo, Can, Doğan, Georgiou, Panayiotis, Narayanan, Shrikanth, Berkel, Cady, Gallo, Carlos, Sandler, Irwin, Brown, C Hendricks, Wolchik, Sharlene, Mauricio, Anne Marie, Mehrotra, Sanjay, Chandurkar, Dharmendra, Bora, Siddhartha, Das, Arup, Tripathi, Anand, Saggurti, Niranjan, Raj, Anita, Hughes, Eric, Jacobs, Brian, and Kirkendall, Eric
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Biomedical and Clinical Sciences ,Psychology ,Pediatric ,Clinical Trials and Supportive Activities ,Prevention ,Comparative Effectiveness Research ,Clinical Research ,Mental Health ,Health Services ,Behavioral and Social Science ,Good Health and Well Being ,Information and Computing Sciences ,Medical and Health Sciences ,Health Policy & Services ,Biomedical and clinical sciences - Abstract
A1 Introduction to the 8th Annual Conference on the Science of Dissemination and Implementation: Optimizing Personal and Population Health David Chambers, Lisa Simpson D1 Discussion forum: Population health D&I research Felicia Hill-Briggs D2 Discussion forum: Global health D&I research Gila Neta, Cynthia Vinson D3 Discussion forum: Precision medicine and D&I research David Chambers S1 Predictors of community therapists’ use of therapy techniques in a large public mental health system Rinad Beidas, Steven Marcus, Gregory Aarons, Kimberly Hoagwood, Sonja Schoenwald, Arthur Evans, Matthew Hurford, Ronnie Rubin, Trevor Hadley, Frances Barg, Lucia Walsh, Danielle Adams, David Mandell S2 Implementing brief cognitive behavioral therapy (CBT) in primary care: Clinicians' experiences from the field Lindsey Martin, Joseph Mignogna, Juliette Mott, Natalie Hundt, Michael Kauth, Mark Kunik, Aanand Naik, Jeffrey Cully S3 Clinician competence: Natural variation, factors affecting, and effect on patient outcomes Alan McGuire, Dominique White, Tom Bartholomew, John McGrew, Lauren Luther, Angie Rollins, Michelle Salyers S4 Exploring the multifaceted nature of sustainability in community-based prevention: A mixed-method approach Brittany Cooper, Angie Funaiole S5 Theory informed behavioral health integration in primary care: Mixed methods evaluation of the implementation of routine depression and alcohol screening and assessment Julie Richards, Amy Lee, Gwen Lapham, Ryan Caldeiro, Paula Lozano, Tory Gildred, Carol Achtmeyer, Evette Ludman, Megan Addis, Larry Marx, Katharine Bradley S6 Enhancing the evidence for specialty mental health probation through a hybrid efficacy and implementation study Tonya VanDeinse, Amy Blank Wilson, Burgin Stacey, Byron Powell, Alicia Bunger, Gary Cuddeback S7 Personalizing evidence-based child mental health care within a fiscally mandated policy reform Miya Barnett, Nicole Stadnick, Lauren Brookman-Frazee, Anna Lau S8 Leveraging an existing resource for technical assistance: Community-based supervisors in public mental health Shannon Dorsey, Michael Pullmann S9 SBIRT implementation for adolescents in urban federally qualified health centers: Implementation outcomes Shannon Mitchell, Robert Schwartz, Arethusa Kirk, Kristi Dusek, Marla Oros, Colleen Hosler, Jan Gryczynski, Carolina Barbosa, Laura Dunlap, David Lounsbury, Kevin O'Grady, Barry Brown S10 PANEL: Tailoring Implementation Strategies to Context - Expert recommendations for tailoring strategies to context Laura Damschroder, Thomas Waltz, Byron Powell S11 PANEL: Tailoring Implementation Strategies to Context - Extreme facilitation: Helping challenged healthcare settings implement complex programs Mona Ritchie S12 PANEL: Tailoring Implementation Strategies to Context - Using menu-based choice tasks to obtain expert recommendations for implementing three high-priority practices in the VA Thomas Waltz S13 PANEL: The Use of Technology to Improve Efficient Monitoring of Implementation of Evidence-based Programs - Siri, rate my therapist: Using technology to automate fidelity ratings of motivational interviewing David Atkins, Zac E. Imel, Bo Xiao, Doğan Can, Panayiotis Georgiou, Shrikanth Narayanan S14 PANEL: The Use of Technology to Improve Efficient Monitoring of Implementation of Evidence-based Programs - Identifying indicators of implementation quality for computer-based ratings Cady Berkel, Carlos Gallo, Irwin Sandler, C. Hendricks Brown, Sharlene Wolchik, Anne Marie Mauricio S15 PANEL: The Use of Technology to Improve Efficient Monitoring of Implementation of Evidence-based Programs - Improving implementation of behavioral interventions by monitoring emotion in spoken speech Carlos Gallo, C. Hendricks Brown, Sanjay Mehrotra S16 Scorecards and dashboards to assure data quality of health management information system (HMIS) using R Dharmendra Chandurkar, Siddhartha Bora, Arup Das, Anand Tripathi, Niranjan Saggurti, Anita Raj S17 A big data approach for discovering and implementing patient safety insights Eric Hughes, Brian Jacobs, Eric Kirkendall S18 Improving the efficacy of a depression registry for use in a collaborative care model Danielle Loeb, Katy Trinkley, Michael Yang, Andrew Sprowell, Donald Nease S19 Measurement feedback systems as a strategy to support implementation of measurement-based care in behavioral health Aaron Lyon, Cara Lewis, Meredith Boyd, Abigail Melvin, Semret Nicodimos, Freda Liu, Nathanial Jungbluth S20 PANEL: Implementation Science and Learning Health Systems: Intersections and Commonalities - Common loop assay: Methods of supporting learning collaboratives Allen Flynn S21 PANEL: Implementation Science and Learning Health Systems: Intersections and Commonalities - Innovating audit and feedback using message tailoring models for learning health systems Zach Landis-Lewis S22 PANEL: Implementation Science and Learning Health Systems: Intersections and Commonalities - Implementation science and learning health systems: Connecting the dots Anne Sales S23 Facilitation activities of Critical Access Hospitals during TeamSTEPPS implementation Jure Baloh, Marcia Ward, Xi Zhu S24 Organizational and social context of federally qualified health centers and variation in maternal depression outcomes Ian Bennett, Jurgen Unutzer, Johnny Mao, Enola Proctor, Mindy Vredevoogd, Ya-Fen Chan, Nathaniel Williams, Phillip Green S25 Decision support to enhance treatment of hospitalized smokers: A randomized trial Steven Bernstein, June-Marie Rosner, Michelle DeWitt, Jeanette Tetrault, James Dziura, Allen Hsiao, Scott Sussman, Patrick O’Connor, Benjamin Toll S26 PANEL: Developing Sustainable Strategies for the Implementation of Patient-Centered Care across Diverse US Healthcare Systems - A patient-centered approach to successful community transition after catastrophic injury Michael Jones, Julie Gassaway S27 PANEL: Developing Sustainable Strategies for the Implementation of Patient-Centered Care across Diverse US Healthcare Systems - Conducting PCOR to integrate mental health and cancer screening services in primary care Jonathan Tobin S28 PANEL: Developing Sustainable Strategies for the Implementation of Patient-Centered Care across Diverse US Healthcare Systems - A comparative effectiveness trial of optimal patient-centered care for US trauma care systems Douglas Zatzick S29 Preferences for in-person communication among patients in a multi-center randomized study of in-person versus telephone communication of genetic test results for cancer susceptibility Angela R Bradbury, Linda Patrick-Miller, Brian Egleston, Olufunmilayo I Olopade, Michael J Hall, Mary B Daly, Linda Fleisher, Generosa Grana, Pamela Ganschow, Dominique Fetzer, Amanda Brandt, Dana Farengo-Clark, Andrea Forman, Rikki S Gaber, Cassandra Gulden, Janice Horte, Jessica Long, Rachelle Lorenz Chambers, Terra Lucas, Shreshtha Madaan, Kristin Mattie, Danielle McKenna, Susan Montgomery, Sarah Nielsen, Jacquelyn Powers, Kim Rainey, Christina Rybak, Michelle Savage, Christina Seelaus, Jessica Stoll, Jill Stopfer, Shirley Yao and Susan Domchek S30 Working towards de-implementation: A mixed methods study in breast cancer surveillance care Erin Hahn, Corrine Munoz-Plaza, Jianjin Wang, Jazmine Garcia Delgadillo, Brian Mittman Michael Gould S31Integrating evidence-based practices for increasing cancer screenings in safety-net primary care systems: A multiple case study using the consolidated framework for implementation research Shuting (Lily) Liang, Michelle C. Kegler, Megan Cotter, Emily Phillips, April Hermstad, Rentonia Morton, Derrick Beasley, Jeremy Martinez, Kara Riehman S32 Observations from implementing an mHealth intervention in an FQHC David Gustafson, Lisa Marsch, Louise Mares, Andrew Quanbeck, Fiona McTavish, Helene McDowell, Randall Brown, Chantelle Thomas, Joseph Glass, Joseph Isham, Dhavan Shah S33 A multicomponent intervention to improve primary care provider adherence to chronic opioid therapy guidelines and reduce opioid misuse: A cluster randomized controlled trial protocol Jane Liebschutz, Karen Lasser S34 Implementing collaborative care for substance use disorders in primary care: Preliminary findings from the summit study Katherine Watkins, Allison Ober, Sarah Hunter, Karen Lamp, Brett Ewing S35 Sustaining a task-shifting strategy for blood pressure control in Ghana: A stakeholder analysis Juliet Iwelunmor, Joyce Gyamfi, Sarah Blackstone, Nana Kofi Quakyi, Jacob Plange-Rhule, Gbenga Ogedegbe S36 Contextual adaptation of the consolidated framework for implementation research (CFIR) in a tobacco cessation study in Vietnam Pritika Kumar, Nancy Van Devanter, Nam Nguyen, Linh Nguyen, Trang Nguyen, Nguyet Phuong, Donna Shelley S37 Evidence check: A knowledge brokering approach to systematic reviews for policy Sian Rudge S38 Using Evidence Synthesis to Strengthen Complex Health Systems in Low- and Middle-Income Countries Etienne Langlois S39 Does it matter: timeliness or accuracy of results? The choice of rapid reviews or systematic reviews to inform decision-making Andrea Tricco S40 Evaluation of the veterans choice program using lean six sigma at a VA medical center to identify benefits and overcome obstacles Sherry Ball, Anne Lambert-Kerzner, Christine Sulc, Carol Simmons, Jeneen Shell-Boyd, Taryn Oestreich, Ashley O'Connor, Emily Neely, Marina McCreight, Amy Labebue, Doreen DiFiore, Diana Brostow, P. Michael Ho, David Aron S41 The influence of local context on multi-stakeholder alliance quality improvement activities: A multiple case study Jillian Harvey, Megan McHugh, Dennis Scanlon S42 Increasing physical activity in early care and education: Sustainability via active garden education (SAGE) Rebecca Lee, Erica Soltero, Nathan Parker, Lorna McNeill, Tracey Ledoux S43 Marking a decade of policy implementation: The successes and continuing challenges of a provincial school food and nutrition policy in Canada Jessie-Lee McIsaac, Kate MacLeod, Nicole Ata, Sherry Jarvis, Sara Kirk S44 Use of research evidence among state legislators who prioritize mental health and substance abuse issues Jonathan Purtle, Elizabeth Dodson, Ross Brownson S45 PANEL: Effectiveness-Implementation Hybrid Designs: Clarifications, Refinements, and Additional Guidance Based on a Systematic Review and Reports from the Field - Hybrid type 1 designs Brian Mittman, Geoffrey Curran S46 PANEL: Effectiveness-Implementation Hybrid Designs: Clarifications, Refinements, and Additional Guidance Based on a Systematic Review and Reports from the Field - Hybrid type 2 designs Geoffrey Curran S47 PANEL: Effectiveness-Implementation Hybrid Designs: Clarifications, Refinements, and Additional Guidance Based on a Systematic Review and Reports from the Field - Hybrid type 3 designs Jeffrey Pyne S48 Linking team level implementation leadership and implementation climate to individual level attitudes, behaviors, and implementation outcomes Gregory Aarons, Mark Ehrhart, Elisa Torres S49 Pinpointing the specific elements of local context that matter most to implementation outcomes: Findings from qualitative comparative analysis in the RE-inspire study of VA acute stroke care Edward Miech S50 The GO score: A new context-sensitive instrument to measure group organization level for providing and improving care Edward Miech S51 A research network approach for boosting implementation and improvement Kathleen Stevens, I.S.R.N. Steering Council S52 PANEL: Qualitative methods in D&I Research: Value, rigor and challenge - The value of qualitative methods in implementation research Alison Hamilton S53 PANEL: Qualitative methods in D&I Research: Value, rigor and challenge - Learning evaluation: The role of qualitative methods in dissemination and implementation research Deborah Cohen S54 PANEL: Qualitative methods in D&I Research: Value, rigor and challenge - Qualitative methods in D&I research Deborah Padgett S55 PANEL: Maps & models: The promise of network science for clinical D&I - Hospital network of sharing patients with acute and chronic diseases in California Alexandra Morshed S56 PANEL: Maps & models: The promise of network science for clinical D&I - The use of social network analysis to identify dissemination targets and enhance D&I research study recruitment for pre-exposure prophylaxis for HIV (PrEP) among men who have sex with men Rupa Patel S57 PANEL: Maps & models: The promise of network science for clinical D&I - Network and organizational factors related to the adoption of patient navigation services among rural breast cancer care providers Beth Prusaczyk S58 A theory of de-implementation based on the theory of healthcare professionals’ behavior and intention (THPBI) and the becker model of unlearning David C. Aron, Divya Gupta, Sherry Ball S59 Observation of registered dietitian nutritionist-patient encounters by dietetic interns highlights low awareness and implementation of evidence-based nutrition practice guidelines Rosa Hand, Jenica Abram, Taylor Wolfram S60 Program sustainability action planning: Building capacity for program sustainability using the program sustainability assessment tool Molly Hastings, Sarah Moreland-Russell S61 A review of D&I study designs in published study protocols Rachel Tabak, Alex Ramsey, Ana Baumann, Emily Kryzer, Katherine Montgomery, Ericka Lewis, Margaret Padek, Byron Powell, Ross Brownson S62 PANEL: Geographic variation in the implementation of public health services: Economic, organizational, and network determinants - Model simulation techniques to estimate the cost of implementing foundational public health services Cezar Brian Mamaril, Glen Mays, Keith Branham, Lava Timsina S63 PANEL: Geographic variation in the implementation of public health services: Economic, organizational, and network determinants - Inter-organizational network effects on the implementation of public health services Glen Mays, Rachel Hogg S64 PANEL: Building capacity for implementation and dissemination of the communities that care prevention system at scale to promote evidence-based practices in behavioral health - Implementation fidelity, coalition functioning, and community prevention system transformation using communities that care Abigail Fagan, Valerie Shapiro, Eric Brown S65 PANEL: Building capacity for implementation and dissemination of the communities that care prevention system at scale to promote evidence-based practices in behavioral health - Expanding capacity for implementation of communities that care at scale using a web-based, video-assisted training system Kevin Haggerty, David Hawkins S66 PANEL: Building capacity for implementation and dissemination of the communities that care prevention system at scale to promote evidence-based practices in behavioral health - Effects of communities that care on reducing youth behavioral health problems Sabrina Oesterle, David Hawkins, Richard Catalano S68 When interventions end: the dynamics of intervention de-adoption and replacement Virginia McKay, M. Margaret Dolcini, Lee Hoffer S69 Results from next-d: can a disease specific health plan reduce incident diabetes development among a national sample of working-age adults with pre-diabetes? Tannaz Moin, Jinnan Li, O. Kenrik Duru, Susan Ettner, Norman Turk, Charles Chan, Abigail Keckhafer, Robert Luchs, Sam Ho, Carol Mangione S70 Implementing smoking cessation interventions in primary care settings (STOP): using the interactive systems framework Peter Selby, Laurie Zawertailo, Nadia Minian, Dolly Balliunas, Rosa Dragonetti, Sarwar Hussain, Julia Lecce S71 Testing the Getting To Outcomes implementation support intervention in prevention-oriented, community-based settings Matthew Chinman, Joie Acosta, Patricia Ebener, Patrick S Malone, Mary Slaughter S72 Examining the reach of a multi-component farmers’ market implementation approach among low-income consumers in an urban context Darcy Freedman, Susan Flocke, Eunlye Lee, Kristen Matlack, Erika Trapl, Punam Ohri-Vachaspati, Morgan Taggart, Elaine Borawski S73 Increasing implementation of evidence-based health promotion practices at large workplaces: The CEOs Challenge Amanda Parrish, Jeffrey Harris, Marlana Kohn, Kristen Hammerback, Becca McMillan, Peggy Hannon S74 A qualitative assessment of barriers to nutrition promotion and obesity prevention in childcare Taren Swindle, Geoffrey Curran, Leanne Whiteside-Mansell, Wendy Ward S75 Documenting institutionalization of a health communication intervention in African American churches Cheryl Holt, Sheri Lou Santos, Erin Tagai, Mary Ann Scheirer, Roxanne Carter, Janice Bowie, Muhiuddin Haider, Jimmie Slade, Min Qi Wang S76 Reduction in hospital utilization by underserved patients through use of a community-medical home Andrew Masica, Gerald Ogola, Candice Berryman, Kathleen Richter S77 Sustainability of evidence-based lay health advisor programs in African American communities: A mixed methods investigation of the National Witness Project Rachel Shelton, Lina Jandorf, Deborah Erwin S78 Predicting the long-term uninsured population and analyzing their gaps in physical access to healthcare in South Carolina Khoa Truong S79 Using an evidence-based parenting intervention in churches to prevent behavioral problems among Filipino youth: A randomized pilot study Joyce R. Javier, Dean Coffey, Sheree M. Schrager, Lawrence Palinkas, Jeanne Miranda S80 Sustainability of elementary school-based health centers in three health-disparate southern communities Veda Johnson, Valerie Hutcherson, Ruth Ellis S81 Childhood obesity prevention partnership in Louisville: creative opportunities to engage families in a multifaceted approach to obesity prevention Anna Kharmats, Sandra Marshall-King, Monica LaPradd, Fannie Fonseca-Becker S82 Improvements in cervical cancer prevention found after implementation of evidence-based Latina prevention care management program Deanna Kepka, Julia Bodson, Echo Warner, Brynn Fowler S83 The OneFlorida data trust: Achieving health equity through research & training capacity building Elizabeth Shenkman, William Hogan, Folakami Odedina, Jessica De Leon, Monica Hooper, Olveen Carrasquillo, Renee Reams, Myra Hurt, Steven Smith, Jose Szapocznik, David Nelson, Prabir Mandal S84 Disseminating and sustaining medical-legal partnerships: Shared value and social return on investment James Teufel
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- 2016
34. Proceedings of the 8th Annual Conference on the Science of Dissemination and Implementation : Washington, DC, USA. 14-15 December 2015.
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Chambers, David, Simpson, Lisa, Hill-Briggs, Felicia, Neta, Gila, Vinson, Cynthia, Beidas, Rinad, Marcus, Steven, Aarons, Gregory, Hoagwood, Kimberly, Schoenwald, Sonja, Evans, Arthur, Hurford, Matthew, Rubin, Ronnie, Hadley, Trevor, Barg, Frances, Walsh, Lucia, Adams, Danielle, Mandell, David, Martin, Lindsey, Mignogna, Joseph, Mott, Juliette, Hundt, Natalie, Kauth, Michael, Kunik, Mark, Naik, Aanand, Cully, Jeffrey, McGuire, Alan, White, Dominique, Bartholomew, Tom, McGrew, John, Luther, Lauren, Rollins, Angie, Salyers, Michelle, Cooper, Brittany, Funaiole, Angie, Richards, Julie, Lee, Amy, Lapham, Gwen, Caldeiro, Ryan, Lozano, Paula, Gildred, Tory, Achtmeyer, Carol, Ludman, Evette, Addis, Megan, Marx, Larry, Bradley, Katharine, VanDeinse, Tonya, Wilson, Amy Blank, Stacey, Burgin, Powell, Byron, Bunger, Alicia, Cuddeback, Gary, Barnett, Miya, Stadnick, Nicole, Brookman-Frazee, Lauren, Lau, Anna, Dorsey, Shannon, Pullmann, Michael, Mitchell, Shannon, Schwartz, Robert, Kirk, Arethusa, Dusek, Kristi, Oros, Marla, Hosler, Colleen, Gryczynski, Jan, Barbosa, Carolina, Dunlap, Laura, Lounsbury, David, O’Grady, Kevin, Brown, Barry, Damschroder, Laura, Waltz, Thomas, Ritchie, Mona, Atkins, David, Imel, Zac E, Xiao, Bo, Can, Doğan, Georgiou, Panayiotis, Narayanan, Shrikanth, Berkel, Cady, Gallo, Carlos, Sandler, Irwin, Brown, C Hendricks, Wolchik, Sharlene, Mauricio, Anne Marie, Mehrotra, Sanjay, Chandurkar, Dharmendra, Bora, Siddhartha, Das, Arup, Tripathi, Anand, Saggurti, Niranjan, Raj, Anita, Hughes, Eric, Jacobs, Brian, and Kirkendall, Eric
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Health Policy & Services ,Information and Computing Sciences ,Medical and Health Sciences - Published
- 2016
35. Primary Care Patients with Opioid Use Disorder Have a High Prevalence of Pain and Mental Health and Other Substance Use Disorders
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Simon, Claire B., Klein, Jared W., Bradley, Katharine A., and Oliver, Malia
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- 2021
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36. Should the CIWA-Ar be the standard monitoring strategy for alcohol withdrawal syndrome in the intensive care unit?
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Steel, Tessa L., Giovanni, Shewit P., Katsandres, Sarah C., Cohen, Shawn M., Stephenson, Kevin B., Murray, Ben, Sobeck, Hillary, Hough, Catherine L., Bradley, Katharine A., and Williams, Emily C.
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- 2021
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37. PRimary Care Opioid Use Disorders treatment (PROUD) trial protocol: a pragmatic, cluster-randomized implementation trial in primary care for opioid use disorder treatment
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Campbell, Cynthia I., Saxon, Andrew J., Boudreau, Denise M., Wartko, Paige D., Bobb, Jennifer F., Lee, Amy K., Matthews, Abigail G., McCormack, Jennifer, Liu, David S., Addis, Megan, Altschuler, Andrea, Samet, Jeffrey H., LaBelle, Colleen T., Arnsten, Julia, Caldeiro, Ryan M., Borst, Douglas T., Stotts, Angela L., Braciszewski, Jordan M., Szapocznik, José, Bart, Gavin, Schwartz, Robert P., McNeely, Jennifer, Liebschutz, Jane M., Tsui, Judith I., Merrill, Joseph O., Glass, Joseph E., Lapham, Gwen T., Murphy, Sean M., Weinstein, Zoe M., Yarborough, Bobbi Jo H., and Bradley, Katharine A.
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- 2021
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38. Does Long-Term Post-Bariatric Weight Change Differ Across Antidepressants?
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Arterburn, David E., Maciejewski, Matthew L., Berkowitz, Theodore S. Z., Smith, Valerie A., Mitchell, James E., Liu, Chuan-Fen, Adeyemo, Adenike, Bradley, Katharine A., and Olsen, Maren K.
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- 2022
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39. Routine Assessment of Symptoms of Substance Use Disorders in Primary Care: Prevalence and Severity of Reported Symptoms
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Sayre, Mikko, Lapham, Gwen T., Lee, Amy K., Oliver, Malia, Bobb, Jennifer F., Caldeiro, Ryan M., and Bradley, Katharine A.
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- 2020
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40. Eroding the Community in Community Supported Agriculture (CSA): Competition's Effects in Alternative Food Networks in California
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Galt, Ryan E, Bradley, Katharine, Christensen, Libby, Van Soelen Kim, Julia, and Lobo, Ramiro
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The effects of competition within alternative food networks (AFNs) remain largely unex- plored. Using a study of farms that operate Community Supported Agriculture (CSA) programmes in California, the state in the USA with the most CSAs, we empirically examine the effects of competition within alternative food networks. We conducted a statewide survey of CSA farmers in California, which collected data from 111 CSAs. For this analysis we construct a perceived competition index composed of variables that measure farmers’ perceptions of competition with numerous market outlets and their being constrained in raising their prices due to competitive pressures. Our analysis shows that perceived competition is negatively correlated with CSA farms’ profitability, farmers’ satisfaction on a number of fronts, various indicators of the social embeddedness of CSA, and two community food security strategies. We conclude that competition is a real, although differential, phenomenon experienced by many CSA farmers in California, and that this competition impacts CSA in ways that undermine some of its commonly held values, especially fair farmer compensation and strong member-farmer relationships.
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- 2015
41. Effect of a Care Management Intervention on 12-Month Drinking Outcomes Among Patients With and Without DSM-IV Alcohol Dependence at Baseline
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Williams, Emily C., Bobb, Jennifer F., Lee, Amy K., Ludman, Evette J., Richards, Julie E., Hawkins, Eric J., Merrill, Joseph O., Saxon, Andrew J., Lapham, Gwen T., Matson, Theresa E., Chavez, Laura J., Caldeiro, Ryan, Greenberg, Diane M., Kivlahan, Daniel R., and Bradley, Katharine A.
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- 2019
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42. Discriminative validity of a substance use symptom checklist for moderate-severe DSM-5 cannabis use disorder (CUD) in primary care settings
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Hamilton, Leah K., Bradley, Katharine A., Matson, Theresa E., and Lapham, Gwen T.
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- 2024
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43. Integration of screening, assessment, and treatment for cannabis and other drug use disorders in primary care: An evaluation in three pilot sites
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Richards, Julie E., Bobb, Jennifer F., Lee, Amy K., Lapham, Gwen T., Williams, Emily C., Glass, Joseph E., Ludman, Evette J., Achtmeyer, Carol, Caldeiro, Ryan M., Oliver, Malia, and Bradley, Katharine A.
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- 2019
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44. Utility of routine alcohol screening for monitoring changes in alcohol consumption
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Rubinsky, Anna D., Chavez, Laura J., Berger, Douglas, Lapham, Gwen T., Hawkins, Eric J., Williams, Emily C., and Bradley, Katharine A.
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- 2019
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45. Communication between pharmacists and primary care physicians in the midst of a U.S. opioid crisis
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Curran, Geoffrey M., Freeman, Patricia R., Martin, Bradley C., Teeter, Benjamin S., Drummond, Karen L., Bradley, Katharine, Thannisch, Mary M., Mosley, Cynthia L., Schoenberg, Nancy, and Edlund, Mark
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- 2019
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- View/download PDF
46. Utilization of prescription drug monitoring programs for prescribing and dispensing decisions: Results from a multi-site qualitative study
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Freeman, Patricia R., Curran, Geoffrey M., Drummond, Karen L., Martin, Bradley C., Teeter, Benjamin S., Bradley, Katharine, Schoenberg, Nancy, and Edlund, Mark J.
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- 2019
- Full Text
- View/download PDF
47. The (un)making of “CSA people”: Member retention and the customization paradox in Community Supported Agriculture (CSA) in California
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Galt, Ryan E., Bradley, Katharine, Christensen, Libby O., and Munden-Dixon, Kate
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- 2019
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48. Costs of using evidence-based implementation strategies for behavioral health integration in a large primary care system
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Yeung, Kai, Richards, Julie, Goemer, Eric, Lozano, Paula, Lapham, Gwen, Williams, Emily, Glass, Joseph, Lee, Amy, Achtmeyer, Carol, Caldeiro, Ryan, Parrish, Rebecca, and Bradley, Katharine
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Integrated delivery networks -- Methods ,Behavioral health care -- Practice ,Primary health care -- Management ,Evidence-based medicine -- Usage ,Company business management ,Business ,Health care industry - Abstract
Objective: To describe the cost of using evidence-based implementation strategies for sustained behavioral health integration (BHI) involving population-based screening, assessment, and identification at 25 primary care sites of Kaiser Permanente Washington (2015-2018). Data Sources/Study Setting: Project records, surveys, Bureau of Labor Statistics compensation data. Study Design: Labor and nonlabor costs incurred by three implementation strategies: practice coaching, electronic health records clinical decision support, and performance feedback. Data Collection/Extraction Methods: Personnel time spent on these strategies was estimated for five broad roles: (a) project leaders and administrative support, (b) practice coaches, (c) clinical decision support programmers, (d) performance metric programmers, and (e) primary care local implementation team members. Principal Finding: Implementation involved 286 persons, 18 131 person-hours, costing $1 587 139 or $5 per primary care visit with screening or $38 per primary care visit identifying depression, suicidal thoughts and/or alcohol or substance use disorders, in a single year. The majority of person-hours was devoted to project leadership (35%) and practice coaches (34%), and 36% of costs were for the first three sites. Conclusions: When spread across patients screened in a single year, BHI implementation costs were well within the range for commonly used diagnostic assessments in primary care (eg, laboratory tests). This suggests that implementation costs alone should not be a substantial barrier to population-based BHI. KEYWORDS behavioral health integration, practice coaching, primary care, quality improvement, 1 | INTRODUCTION Over 47.6 million and 20.3 million Americans have mental health and substance use disorders, respectively. (1) Conditions such as depression, alcohol, and other substance use disorders are [...]
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- 2020
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49. Alcohol and Associated Characteristics among Older Persons Living with Human Immunodeficiency Virus on Antiretroviral Therapy
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Williams, Emily C, Bradley, Katharine A, Balderson, Benjamin H, McClure, Jennifer B, Grothaus, Lou, McCoy, Katryna, Rittmueller, Stacey E, and Catz, Sheryl L
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Public Health ,Health Sciences ,Alcoholism ,Alcohol Use and Health ,HIV/AIDS ,Prevention ,Mental Health ,Behavioral and Social Science ,Health Services ,Depression ,Substance Misuse ,Infectious Diseases ,Clinical Research ,Evaluation of treatments and therapeutic interventions ,6.1 Pharmaceuticals ,Mental health ,Stroke ,Good Health and Well Being ,Alcohol Drinking ,Anti-Retroviral Agents ,Comorbidity ,Female ,HIV Infections ,Humans ,Male ,Medication Adherence ,Mental Disorders ,Middle Aged ,Randomized Controlled Trials as Topic ,United States ,Alcohol ,HIV ,older adults ,Public Health and Health Services ,Psychology ,Substance Abuse ,Health services and systems ,Public health ,Clinical and health psychology - Abstract
BackgroundAlcohol use, and particularly unhealthy alcohol use, is associated with poor human immunodeficiency virus (HIV)-related outcomes among persons living with HIV (PLWH). Despite a rapidly growing proportion of PLWH ≥50 years, alcohol use and its associated characteristics are underdescribed in this population. The authors describe alcohol use, severity, and associated characteristics using data from a sample of PLWH ≥50 years who participated in a trial of a telephone-based intervention to improve adherence to antiretroviral therapy (ART).MethodsParticipants were recruited from acquired immunodeficiency syndrome (AIDS) service organizations in 9 states and included PLWH ≥50 years who were prescribed ART, reported suboptimal adherence at screening (missing >1.5 days of medication or taking medications 2 hours early or late on >3 days in the 30 days prior to screening), and consented to participate. The AUDIT-C (Alcohol Use Disorders Identification Test-Consumption) alcohol screen, sociodemographic characteristics, substance use, and mental health comorbidity were assessed at baseline. AUDIT-C scores were categorized into nondrinking, low-level drinking, and mild-moderate unhealthy, and severe unhealthy drinking (0, 1-3, 4-6, and 7-12, respectively). Analyses described and compared characteristics across drinking status (any/none) and across AUDIT-C categories among drinkers.ResultsAmong 447 participants, 57% reported drinking in the past year (35%, 15%, and 7% reported low-level drinking, mild-moderate unhealthy drinking, and severe unhealthy drinking, respectively). Any drinking was most common among men and those who were lesbian, gay, bisexual, or transgender (LGBT), married/partnered, had received past-year alcohol treatment, and never used injection drugs (P values all
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- 2014
50. Use of Electronic Health Record Data to Estimate the Probability of Alcohol Withdrawal Syndrome in a National Cohort of Hospitalized Veterans
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Steel, Tessa L., Malte, Carol A., Bradley, Katharine A., and Hawkins, Eric J.
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- 2021
- Full Text
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