The Effect of a Patient-Provider Educational Intervention to Reduce At-Risk Drinking on Changes in Health and Health-Related Quality of Life Among Older Adults: The Project SHARE Study.

BACKGROUND: At-risk drinking, defined as alcohol use that is excessive or potentially harmful in combination with select comorbidities or medications, affects about 10% of older adults in the United States and is associated with higher mortality. The Project SHARE intervention, which uses patient and provider educational materials, physician counseling, and health educator support, was designed to reduce at-risk drinking among this vulnerable population. Although an earlier study showed that this intervention was successful in reducing rates of at-risk drinking, it is unknown whether these reductions translate into improved health and health-related quality of life (HRQL). OBJECTIVE: The aim of this study was to examine changes in health and HRQL of older adult at-risk drinkers resulting from a patient-provider educational intervention. RESEARCH DESIGN: A randomized controlled trial to compare the health and HRQL outcomes of patients assigned to the Project SHARE intervention vs. care as usual at baseline, 6- and 12-months post assignment. Control patients received usual care, which may or may not have included alcohol counseling. Intervention group patients received a personalized patient report, educational materials on alcohol and aging, a brief provider intervention, and a telephone health educator intervention. SUBJECTS: Current drinkers 60years and older accessing primary care clinics around Santa Barbara, California (N=1049). MEASUREMENTS: Data were collected from patients using baseline, 6- and 12-month mail surveys. Health and HRQL measures included mental and physical component scores (MCS and PCS) based on the Short Form-12v2 (SF-12v2), the SF-6D, which is also based on the SF-12, and the Geriatric Depression Scale (GDS). Adjusted associations of treatment assignment with these outcomes were estimated using generalized least squares regressions with random provider effects. Regressions controlled for age group, sex, race/ethnicity, marital status, education, household income, home ownership and the baseline value of the dependent variable. RESULTS: After regression adjustment, the intervention was associated with a 0.58 point (95% CI: -0.06, 1.21) increase in 6-month MCS and a 0.14 point (95% CI: 0.01, 0.26) improvement in 12-month GDS score, compared to the control group. The intervention also increased adjusted SF-6D scores by 0.01 points at both 6 and 12months (6-month 95% CI: 0.01, 0.02; 12-month 95% CI: 0.01, 0.01). CONCLUSIONS: Despite the previously shown effectiveness of the Project SHARE intervention to reduce at-risk drinking among older adults, this effect translated into effects on health and HRQL that were statistically but not necessarily clinically significant. Effects were most prominent for patients who received physician discussions, suggesting that provider counseling may be a critical component of primary care-based interventions targeting at-risk alcohol use.

Examining the Impact of Separate Components of a Multicomponent Intervention Designed to Reduce At-Risk Drinking Among Older Adults: The Project SHARE Study.

BACKGROUND: Health promotion interventions often include multiple components and several patient contacts. The objective of this study was to examine how participation within a multicomponent intervention (Project SHARE) is associated with changes in at-risk drinking among older adults. METHODS: We analyzed observational data from a cluster-randomized trial of 31 primary care physicians and their patients aged ≥60 years, at a community-based practice with 7 clinics. Recruitment occurred between 2005 and 2007. At-risk drinkers in a particular physician's practice were randomly assigned as a group to usual care (n = 640 patients) versus intervention (n = 546 patients). The intervention included personalized reports, educational materials, drinking diaries, in-person physician advice, and telephone counseling by health educators (HEs). The primary outcome was at-risk drinking at follow-up, defined by scores on the Comorbidity Alcohol Risk Evaluation Tool (CARET). Predictors included whether a physician-patient alcohol risk discussion occurred, HE call occurred, drinking agreement with the HE was made, and patients self-reported keeping a drinking diary as suggested by the HE. RESULTS: At 6 months, there was no association of at-risk drinking with having had a physician-patient discussion. Compared to having had no HE call, the odds of at-risk drinking at 6 months were lower if an agreement was made or patients reported keeping a diary (odds ratio [OR] 0.58, 95% confidence interval [CI] 0.37 to 0.90), or if an agreement was made and patients reported keeping a diary (OR 0.52, CI 0.28 to 0.97). At 12 months, a physician-patient discussion (OR 0.61, CI 0.38 to 0.98) or an agreement and reported use of a diary (OR 0.45, CI 0.25) were associated with lower odds of at-risk drinking. CONCLUSIONS: Within the Project SHARE intervention, discussing alcohol risk with a physician, making a drinking agreement, and/or self-reporting the use of a drinking diary were associated with lower odds of at-risk drinking at follow-up. Future studies targeting at-risk drinking among older adults should consider incorporating both intervention components.

The effect of an educational intervention on alcohol consumption, at-risk drinking, and health care utilization in older adults: the Project SHARE study.

OBJECTIVE: The purpose of this study was to examine the effectiveness of a patient-provider educational intervention in reducing at-risk drinking among older adults. METHOD: This was a cluster-randomized controlled trial of 31 primary care providers and their patients ages 60 years and older at a community-based practice with seven clinics. Recruitment occurred from July 2005 to August 2007. Eligibility was determined by telephone and a baseline mailed survey. A total of 1,186 at-risk drinkers were identified by the Comorbidity Alcohol Risk Evaluation Tool. Follow-up patient surveys were administered at 3, 6, and 12 months after baseline. Study physicians and their patients were randomly assigned to usual care (n = 640 patients) versus the Project SHARE (Senior Health and Alcohol Risk Education) intervention (n = 546 patients), which included personalized reports, educational materials, drinking diaries, physician advice during office visits, and telephone counseling delivered by a health educator. Main outcomes were alcohol consumption, at-risk drinking (overall and by type), alcohol discussions with physicians, health care utilization, and screening and intervention costs. RESULTS: At 12 months, the intervention was significantly associated with an increase in alcohol-related discussions with physicians (23% vs. 13%; p ≤ .01) and reductions in at-risk drinking (56% vs. 67%; p ≤ .01), alcohol consumption (-2.19 drinks per week; p ≤ .01), physician visits (-1.14 visits; p = .03), emergency department visits (16% vs. 25%; p ≤ .01), and nonprofessional caregiving visits (12% vs. 17%; p ≤ .01). Average variable costs per patient were $31 for screening and $79 for intervention. CONCLUSIONS: The intervention reduced alcohol consumption and at-risk drinking among older adults. Effects were sustained over a year and may have been associated with lower health care utilization, offsetting screening and intervention costs.

Correlates of alcohol-related discussions between older adults and their physicians.

OBJECTIVES: To identify predictors of alcohol-related patient-physician discussions. DESIGN: Cross-sectional study using baseline data from a randomized controlled trial. SETTING: Community-based group practice. PARTICIPANTS: Thirty-one physicians in Project Senior Health and Alcohol Risk Education and 3,305 of their patients aged 60 and older who use alcohol and completed a survey that included the Comorbidity Alcohol Risk Evaluation Tool (CARET). MEASUREMENTS: At study baseline, older adults were asked whether alcohol-related discussions with a physician had occurred in the prior year. This outcome was modeled using logistic regression models with physician random effects. Predictor variables included patient-level variables such as demographics and seven CARET-defined risk factors, specifically a medical or psychiatric comorbidity that alcohol might worsen, a potentially alcohol-related symptom, use of a medication that may interact negatively with alcohol, excessive quantity or frequency of alcohol use, binge drinking, concern from others about drinking, and drinking and driving. Physician-level predictors (age, sex, years since graduation, specialty) were also included. RESULTS: The probability of reporting alcohol-related discussions declined with patient age (e.g., odds ratio (OR)=0.40 for patients aged ≥80) and was significantly lower for Latinos (OR=0.38). Drinking and driving (OR=1.69) or concern from others (OR=6.04) were significantly associated with alcohol-related discussions; having comorbidities or using medications that may interact with alcohol were not. CONCLUSION: Although patient demographics, including age and ethnicity, are associated with the occurrence of alcohol-related discussions, clinical factors that may negatively interact with alcohol to increase risk are not. This suggests that physicians may not be attuned to the entire spectrum of alcohol-related risks for older adults.

Prevalence and correlates of at-risk drinking among older adults: the project SHARE study.

BACKGROUND: At-risk drinking, excessive or potentially harmful alcohol use in combination with select comorbidities or medication use, affects about 10% of elderly adults and is associated with higher mortality. Yet, our knowledge is incomplete regarding the prevalence of different categories of at-risk drinking and their associations with patient demographics. OBJECTIVE: To examine the prevalence and correlates of different categories of at-risk drinking among older adults. DESIGN: Cross-sectional analysis of survey data. SUBJECTS: Current drinkers ages 60 and older accessing primary care clinics around Santa Barbara, California (n = 3,308). MEASUREMENTS: At-risk drinkers were identified using the Comorbidity Alcohol Risk Evaluation Tool (CARET). At-risk alcohol use was categorized as alcohol use in the setting of 1) high-risk comorbidities or 2) high-risk medication use, and 3) excessive alcohol use alone. Adjusted associations of participant characteristics with at-risk drinking in each of the three at-risk categories and with at-risk drinking of any kind were estimated using logistic regression. RESULTS: Over one-third of our sample (34.7%) was at risk. Among at-risk individuals, 61.9% had alcohol use in the context of high-risk comorbidities, 61.0% had high-risk medication use, and 64.3% had high-risk alcohol behaviors. The adjusted odds of at-risk drinking of any kind were decreased and significant for women (odds ratio, OR = 0.41; 95% confidence interval: 0.35-0.48; p-value < 0.001), adults over age 80 (OR = 0.55; CI: 0.43-0.72; p < 0.001 vs. ages 60-64), Asians (OR = 0.40; CI: 0.20-0.80; p = 0.01 vs. Caucasians) and individuals with higher education levels. Similar associations were observed in all three categories of at-risk drinking. CONCLUSIONS: High-risk alcohol use was common among older adults in this large sample of primary care patients, and male Caucasians, those ages 60-64, and those with lower levels of education were most likely to have high-risk alcohol use of any type. Our findings could help physicians identify older patients at increased risk for problems from alcohol consumption.

Category-level contributions to the alphanumeric category effect in visual search.

Do letter and digit recognition depend on the same or different cognitive mechanisms? Letters are detected more quickly among digits than among letters; likewise, digit search is facilitated when distractors are letters, as opposed to digits. This effect suggests that different mechanisms underlie recognition of these two categories. There are, however, systematic physical differences between letters and digits that might account for the effect. We used target and distractor stimuli that facilitated within-category search when inverted, and category identity was, thereby, attenuated. However, in conditions of upright search, in which category identity was more salient, between-category search was more efficient for the same stimuli. These findings suggest that letter and digit recognition are, at least to a degree, functionally independent.