Patient and provider factors associated with receipt and delivery of brief interventions for unhealthy alcohol use in primary care

Contextual factors associated with successful alcohol screening and brief intervention implementation and sustainment in adult primary care

INTRODUCTION

Hazardous drinking is a public health problem affecting approximately 20 % of the U.S. primary care population. Clinical trials have documented the efficacy and effectiveness of Alcohol Screening and Brief Intervention (ASBI), yet widespread implementation remains elusive, and questions remain regarding optimal implementation and sustainment strategies. Kaiser Permanente Northern California (KPNC) implemented systematic ASBI in adult primary care in mid-2013. We used 8 years of electronic health record (EHR) data, combined with surveys which captured primary care provider perceptions organized into PRISM (Practical, Robust Implementation and Sustainability Model) implementation framework domains (Intervention, External Environment, Implementation Infrastructure, and Recipients), to characterize ASBI implementation and sustainment and test how various factors are associated with ASBI rates.

METHODS

Using EHR data, we calculated yearly screening rates of adults with a primary care visit, and brief intervention (BI) rates among those with a positive hazardous drinking screen, (exceeding the age and sex-specific daily and weekly low-risk NIH guidelines (≤3 per day and ≤ 7 per week for women and older men; ≤4 per day and ≤ 14 per week for men 18-65)), across KPNC, from 2014 to 2021. We collected web-based survey data, informed by the PRISM domains, from primary care providers (n = 796; 35.5 % RR) to assess perceptions on ASBI implementation and sustainability.

RESULTS

Between 1/1/2014 and 12/31/21 there were 5,072,270 completed screenings and 624,167 BIs. After adjusting for patient panel characteristics, we found that facilities with higher Implementation Infrastructure domain scores, indicating more robust implementation capacity, had higher screening and BI rates; facilities with higher Intervention domain scores, indicating positive perceptions of SBIRT evidence, and facilities with higher Recipients domain scores, indicating perceived organizational robustness, clinician culture and management support; and greater perceived patient needs and their likely benefit from SBIRT, had higher BI rates.

CONCLUSIONS

Results provide information on factors which may facilitate successful ASBI implementation and sustainability and could inform future ASBI implementation efforts in healthcare system settings. In particular, efforts toward bolstering an organization's implementation infrastructure capacity, prior to embarking on implementation of a systematic ASBI program, could potentially help pave the way for successful implementation.

Prospective changes in drinking during the COVID-19 pandemic among adults with unhealthy alcohol use

AIMS

This study examined differential changes in alcohol use during the COVID-19 pandemic among adults with unhealthy alcohol use.

METHODS

Among 62 924 adults identified with unhealthy alcohol use in primary care prepandemic (1 January 2019 to 29 February 2020), changes in alcohol use during the pandemic (1 March 2020 to 30 June 2022) were examined using electronic health record data from Kaiser Permanente Northern California. Outcomes were changes in heavy drinking days in the past three months (HDDs) and overall consumption (drinks/week), including continuous and categorical measures. Differences in outcomes by sex, age, race/ethnicity, and alcohol use disorder (AUD) were examined.

RESULTS

On average, drinking was reduced by 3.0 HDDs (in the past three months) (SD = 18.4) and 4.1 drinks/week (SD = 12.2), but women, certain age groups, White patients, and patients without AUD had smaller decreases than their counterparts. Overall, 9.1% increased, 34.4% maintained, and 56.5% decreased HDDs, and 20.2% increased, 19.8% maintained, and 60.1% decreased drinks/week. Women, patients aged ≥35 years, White patients, and patients with AUD had higher odds of increasing versus decreasing HDDs, and maintaining versus decreasing, compared to their counterparts. Patients aged 18-20 years, White patients, and patients without AUD had higher odds than their counterparts of increasing versus decreasing drinks/week. Women, patients aged 18-20 years, Asian/Pacific Islander, and Latino/Hispanic patients had higher odds of maintaining versus decreasing drinks/week.

CONCLUSIONS

While alcohol use decreased overall among this sample of primary care patients with unhealthy drinking prepandemic, certain subgroups were more likely to increase drinking, suggesting a greater risk of alcohol-related problems.

Residence in a Medicaid-expansion state and receipt of alcohol screening and brief counseling by adults with lower incomes: Is increased access to primary care enough?

BACKGROUND

We investigate whether living in a state that expanded Medicaid eligibility is associated with receiving alcohol screening and brief counseling among nonelderly, low-income adults and a subgroup with chronic health conditions caused or exacerbated by alcohol use.

METHOD

Data are from the 2017 and 2019 Behavioral Risk Factor Surveillance System (N = 15,743 low-income adults; n = 7062 with a chronic condition). We used propensity score-weighted, covariate-adjusted, modified Poisson regression to estimate associations between residence in a Medicaid-expansion state and receipt of alcohol screening and brief counseling. Models estimated associations in the overall sample and chronic conditions subsample, as well as differential associations across sex, race, and ethnicity using interaction terms.

RESULTS

Living in a state that expanded Medicaid eligibility was associated with being asked whether one drank (prevalence ratio (PR) = 1.15, 95% confidence interval (CI) = 1.08, 1.22), but not with further alcohol screening, guidance about harmful drinking, or advice to reduce drinking. Among individuals with alcohol-related chronic conditions, expansion state residence was associated with being asked about drinking (PR = 1.13, 95% CI = 1.05, 1.20) and, among past 30-day drinkers with chronic conditions, being asked how much one drank (PR = 1.28, 95% CI = 1.04, 1.59) and about binge drinking (PR = 1.43, 95% CI = 1.03, 1.99). Interaction terms suggest that some associations differ by race and ethnicity.

CONCLUSIONS

Living in a state that expanded Medicaid is associated with a higher prevalence of receiving some alcohol screening at a check-up in the past 2 years among low-income residents, particularly among individuals with alcohol-related chronic conditions, but not with the receipt of high-quality screening and brief counseling. Policies may have to address provider barriers to delivery of these services in addition to access to care.

Associations between alcohol brief intervention in primary care and drinking and health outcomes in adults with hypertension and type 2 diabetes: a population-based observational study

OBJECTIVES

To evaluate associations between alcohol brief intervention (BI) in primary care and 12-month drinking outcomes and 18-month health outcomes among adults with hypertension and type 2 diabetes (T2D).

DESIGN

A population-based observational study using electronic health records data.

SETTING

An integrated healthcare system that implemented system-wide alcohol screening, BI and referral to treatment in adult primary care.

PARTICIPANTS

Adult primary care patients with hypertension (N=72 979) or T2D (N=19 642) who screened positive for unhealthy alcohol use between 2014 and 2017.

MAIN OUTCOME MEASURES

We examined four drinking outcomes: changes in heavy drinking days/past 3 months, drinking days/week, drinks/drinking day and drinks/week from baseline to 12-month follow-up, based on results of alcohol screens conducted in routine care. Health outcome measures were changes in measured systolic and diastolic blood pressure (BP) and BP reduction ≥3 mm Hg at 18-month follow-up. For patients with T2D, we also examined change in glycohaemoglobin (HbA1c) level and 'controlled HbA1c' (HbA1c<8%) at 18-month follow-up.

RESULTS

For patients with hypertension, those who received BI had a modest but significant additional -0.06 reduction in drinks/drinking day (95% CI -0.11 to -0.01) and additional -0.30 reduction in drinks/week (95% CI -0.59 to -0.01) at 12 months, compared with those who did not. Patients with hypertension who received BI also had higher odds for having clinically meaningful reduction of diastolic BP at 18 months (OR 1.05, 95% CI 1.00 to 1.09). Among patients with T2D, no significant associations were found between BI and drinking or health outcomes examined.

CONCLUSIONS

Alcohol BI holds promise for reducing drinking and helping to improve health outcomes among patients with hypertension who screened positive for unhealthy drinking. However, similar associations were not observed among patients with T2D. More research is needed to understand the heterogeneity across diverse subpopulations and to study BI's long-term public health impact.

Relationship Between Educational Level and Attitudes Towards Alcohol Conversations in Healthcare: A Cross-Sectional Survey Conducted in Four European Countries

Objectives: To examine the association between educational level and attitudes towards alcohol conversations in healthcare using population-based surveys of adults in England, the Netherlands, Norway, and Sweden; and to compare attitudes towards alcohol conversations in healthcare between these four countries. Methods: Cross-sectional surveys were conducted amongst adults in the general population in England (n = 3,499), the Netherlands (n = 2,173), Norway (n = 1,208), and Sweden (n = 3,000). Logistic regression analysis was used to examine associations between attitudes towards alcohol conversations in healthcare and educational level, key demographic variables, alcohol consumption, and country of residence. Results: In all four countries, low educational level (p < 0.001) and male gender (p < 0.001) were associated with holding negative attitudes towards discussing alcohol in healthcare. Risky drinkers had more negative attitudes than low risky drinkers towards discussing alcohol in healthcare (p < 0.001) in all countries except England (p = 0.48), and also reported low levels of perceived honesty and confidence in healthcare (p < 0.001). Conclusion: These findings highlight the importance of considering patients' socio-economic status when developing and implementing alcohol prevention interventions in healthcare.

Effectiveness of a pharmacist-delivered primary care telemedicine intervention to increase access to pharmacotherapy and specialty treatment for alcohol use problems: Protocol for the alcohol telemedicine consult cluster-randomized pragmatic trial

BACKGROUND

Alcohol use problems are associated with serious medical, mental health and socio-economic consequences. Yet even when patients are identified in healthcare settings, most do not receive treatment, and use of pharmacotherapy is rare. This study will test the effectiveness of the Alcohol Telemedicine Consult (ATC) Service, a novel, personalized telehealth intervention approach for primary care patients with alcohol use problems.

METHODS

This cluster-randomized pragmatic trial, supplemented by qualitative interviews, will include adults with a primary care visit between 9/10/21-3/10/23 from 16 primary care clinics at two large urban medical centers within Kaiser Permanente Northern California, a large, integrated healthcare system. Clinics are randomized to the ATC Service (intervention), including alcohol pharmacotherapy and SBIRT (screening, MI (Motivational Interviewing)-based brief intervention and referral to addiction treatment) delivered by clinical pharmacists, or the Usual Care (UC) arm that provides systematic alcohol SBIRT. Primary outcomes include a comparison of the ATC and UC arms on 1) implementation outcomes (alcohol pharmacotherapy prescription rates, specialty addiction treatment referrals); and 2) patient outcomes (medication fills, addiction treatment initiation, alcohol use, healthcare services utilization) over 1.5 years. A general modeling approach will consider clustering of patients/providers, and a random effects model will account for intra-class correlations across patients within providers and across clinics. Qualitative interviews with providers will examine barriers and facilitators to implementation.

DISCUSSION

The ATC study examines the effectiveness of a pharmacist-provided telehealth intervention that combines pharmacotherapy and MI-based consultation. If effective, the ATC study could affect treatment models across the spectrum of alcohol use problems.

CLINICAL TRIALS REGISTRATION

This study has been registered on ClinicalTrials.gov (NCT05252221).

Alcohol brief intervention, specialty treatment and drinking outcomes at 12 months: Results from a systematic alcohol screening and brief intervention initiative in adult primary care

BACKGROUND

Alcohol screening, brief intervention and referral to treatment (SBIRT) in adult primary care is an evidence-based, public health strategy to address unhealthy alcohol use, but evidence of effectiveness of alcohol brief intervention (ABI) in real-world implementation is lacking.

METHODS

We fit marginal structural models with inverse probability weighting to estimate the causal effects of ABI on 12-month drinking outcomes using longitudinal electronic health records data for 312,056 adults with a positive screening result for unhealthy drinking between 2014 and 2017 in a large healthcare system that implemented systematic primary care-based SBIRT. We examined effects of ABI with and without adjusting for receipt of specialty alcohol use disorder (AUD) treatment, and whether effects varied by patient demographic characteristics and alcohol use patterns.

RESULTS

Receiving ABI resulted in significantly greater reductions in heavy drinking days (mean difference [95% CI] = -0.26 [-0.45, -0.08]), drinking days per week (-0.04 [-0.07, -0.01]), drinks per drinking day (-0.05 [-0.08, -0.02]) and drinks per week (-0.16 [-0.27, -0.04]). Effects of ABI on 12-month drinking outcomes varied by baseline consumption level, age group and whether patients already had an AUD, with better improvement in those who were drinking at levels exceeding only daily limits, younger, and without an AUD.

CONCLUSIONS

Systematic ABI in adult primary care has the potential to reduce drinking among people with unhealthy drinking considerably on both an individual and population level. More research is needed to help optimize ABI, in particular tailoring it to diverse sub-populations, and studying its long-term public health impact.