Supplemental Material for Acculturative Stress and Alcohol Use Among Latinx Recruited From a Primary Care Clinic: Moderations by Emotion Dysregulation

2019 ◽  
Keyword(s):  
Primary Care ◽  
Alcohol Use ◽  
Acculturative Stress ◽  
Emotion Dysregulation ◽  
Primary Care Clinic ◽  
Care Clinic

Acculturative stress and alcohol use among Latinx recruited from a primary care clinic: Moderations by emotion dysregulation.

2019 ◽  
Vol 89 (5) ◽  
pp. 589-599 ◽  
Author(s):  
Daniel J. Paulus ◽  
Ruben Rodriguez-Cano ◽  
Monica Garza ◽  
Melissa Ochoa-Perez ◽  
Chad Lemaire ◽  
...  
Keyword(s):  
Primary Care ◽  
Alcohol Use ◽  
Acculturative Stress ◽  
Emotion Dysregulation ◽  
Primary Care Clinic ◽  
Care Clinic

scholarly journals Testing Mediators of Reduced Drinking for Veterans in Alcohol Care Management

2018 ◽  
Vol 183 (9-10) ◽  
pp. e594-e602
Author(s):  
Dezarie Moskal ◽  
Stephen A Maisto ◽  
Kyle Possemato ◽  
Kevin G Lynch ◽  
David W Oslin
Keyword(s):  
Primary Care ◽  
Alcohol Consumption ◽  
Alcohol Use ◽  
Care Management ◽  
Addiction Treatment ◽  
Readiness To Change ◽  
Primary Care Clinic ◽  
Treatment Engagement ◽  
Future Research ◽  
Care Clinic

Abstract Introduction Alcohol Care Management (ACM) is a manualized treatment provided by behavioral health providers working in a primary care team aimed at increasing patients’ treatment engagement and decreasing their alcohol use. Research has shown that ACM is effective in reducing alcohol consumption; however, the mechanisms of ACM are unknown. Therefore, the purpose of this study is to examine the mechanisms of change in ACM in the context of a randomized clinical trial evaluating the effectiveness of ACM. Materials and Methods This study performed secondary data analysis of existing data from a larger study that involved a sample of U.S. veterans (N = 163) who met criteria for current alcohol dependence. Upon enrollment into the study, participants were randomized to receive either ACM or standard care. ACM was delivered in-person or by telephone within the primary care clinic and focused on the use of oral naltrexone and manualized psychosocial support. According to theory, we hypothesized several ACM treatment components that would mediate alcohol consumption outcomes: engagement in addiction treatment, reduced craving, and increased readiness to change. Parallel mediation models were performed by the PROCESS macro Model 4 in SPSS to test study hypotheses. The institutional review boards at each of the participating facilities approved all study procedures before data collection. Results As hypothesized, results showed that treatment engagement mediated the relation between treatment and both measures of alcohol consumption outcomes, the percentage of alcohol abstinent days, and the percentage of heavy drinking days. Neither craving nor readiness to change mediated the treatment effect on either alcohol consumption outcome. Conclusions Findings suggest that ACM may be effective in changing drinking patterns partially due to an increase in treatment engagement. Future research may benefit from evaluating the specific factors that underlie increased treatment engagement. The current study provides evidence that alcohol use disorder interventions should aim to increase treatment engagement and reduce barriers to care.

scholarly journals A Novel Method of Screening for Alcohol Use Disorders in a Primary Care Clinic

2000 ◽  
Vol 15 (s2) ◽  
pp. 11-11
Author(s):  
SA Wolfe ◽  
NV Dawson ◽  
CL Thomas ◽  
D. Einstadter ◽  
RD Cebul ◽  
...  
Keyword(s):  
Primary Care ◽  
Alcohol Use ◽  
Alcohol Use Disorders ◽  
Primary Care Clinic ◽  
Care Clinic ◽  
Novel Method

scholarly journals Predictors of Alcohol Use in Safety-Net Primary Care: Classism, Religiosity, and Race

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Michael A. Trujillo ◽  
Erin R. Smith ◽  
Sarah Griffin ◽  
Allison B. Williams ◽  
Paul B. Perrin ◽  
...  
Keyword(s):  
Primary Care ◽  
Alcohol Use ◽  
Racial Differences ◽  
Low Income ◽  
Primary Care Clinic ◽  
Safety Net ◽  
Direct Effects ◽  
Cross Sectional ◽  
Care Clinic ◽  
Problematic Drinking

Class-based discrimination may impact problematic drinking in low-income populations, which may be buffered by personal religiosity. However, little is known how race may impact this association. The purpose of this study was to examine racial differences in the effect of class-based discrimination on problematic drinking as moderated by comfort with God and determine if there were conditional direct effects of class-based discrimination on problematic drinking by race. In this cross-sectional study, participants (N = 189) were patients of an urban, safety-net primary care clinic who completed questionnaires assessing experiences of class-based discrimination, attitudes toward God, and alcohol use. Data were collected from 2015 to 2016 and analyzed using the Hayes PROCESS macro. There was a significant main effect for class-based discrimination predicting problematic drinking. Two-way interaction analyses identified a significant comfort with God by race interaction with greater comfort with God associated with less problematic drinking among white but not black respondents. Conditional direct effects showed that experiences of class-based discrimination were associated with problematic drinking at low and moderate but not high levels of comfort with God in black participants, whereas none were observed for white participants. This study provides insight on how personal religiosity, class-based discrimination, and race may intertwine to shape problematic alcohol use in primarily low-income, urban patients. Clinicians’ awareness of risk and protective factors, as well as how race tempers the effects of such factors, is vital in providing better care for this population.

Correlates of Co-Occurring Depressive Symptoms and Alcohol Use in an Older Primary Care Clinic Population

2006 ◽  
Vol 2 (3) ◽  
pp. 57-72
Author(s):  
Stephen J. Bartels ◽  
Keith M. Miles ◽  
Thomas E. Oxman ◽  
Susan Zimmerman ◽  
LuAnne A. Cori ◽  
...  
Keyword(s):  
Primary Care ◽  
Depressive Symptoms ◽  
Alcohol Use ◽  
Primary Care Clinic ◽  
Care Clinic ◽  
Clinic Population

Vision Screening Among Primary Care Clinic Patients

PEDIATRICS ◽  
2016 ◽  
Vol 137 (Supplement 3) ◽  
pp. 93A-93A
Author(s):  
Lwbba Chait ◽  
Angeliki Makri ◽  
Rawan Nahas ◽  
Gwen Raphan
Keyword(s):  
Primary Care ◽  
Primary Care Clinic ◽  
Vision Screening ◽  
Care Clinic

scholarly journals Elderly Patients in Primary Care are Still at Risks of Receiving Potentially Inappropriate Medications

2021 ◽  
Vol 12 ◽  
pp. 215013272110350
Author(s):  
Pasitpon Vatcharavongvan ◽  
Viwat Puttawanchai
Keyword(s):  
Primary Care ◽  
Primary Care Clinic ◽  
Clinical Decision ◽  
Cross Sectional Study ◽  
Study Data ◽  
Patient Specific ◽  
Potentially Inappropriate Medications ◽  
Cross Sectional ◽  
Care Clinic ◽  
Inappropriate Medications

Background Most older adults with comorbidities in primary care clinics use multiple medications and are at risk of potentially inappropriate medications (PIMs) prescription. Objective This study examined the prevalence of polypharmacy and PIMs using Thai criteria for PIMs. Methods This study was a retrospective cross-sectional study. Data were collected from electronic medical records in a primary care clinic in 2018. Samples were patients aged ≥65 years old with at least 1 prescription. Variables included age, gender, comorbidities, and medications. The list of risk drugs for Thai elderly version 2 was the criteria for PIMs. The prevalence of polypharmacy and PIMs were calculated, and multiple logistic regression was conducted to examine associations between variables and PIMs. Results Of 2806 patients, 27.5% and 43.7% used ≥5 medications and PIMs, respectively. Of 10 290 prescriptions, 47% had at least 1 PIM. The top 3 PIMs were anticholinergics, proton-pump inhibitors, and nonsteroidal anti-inflammatory drugs (NSAIDs). Polypharmacy and dyspepsia were associated with PIM prescriptions (adjusted odds ratio 2.48 [95% confident interval or 95% CI 2.07-2.96] and 3.88 [95% CI 2.65-5.68], respectively). Conclusion Prescriptions with PIMs were high in the primary care clinic. Describing unnecessary medications is crucial to prevent negative health outcomes from PIMs. Computer-based clinical decision support, pharmacy-led interventions, and patient-specific drug recommendations are promising interventions to reduce PIMs in a primary care setting.

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