Unhealthy alcohol use in older adults: Association with readmissions and emergency department use in the 30 days after hospital discharge

Hazardous drinking by older adults with chronic conditions during the COVID-19 pandemic: Evidence from a Chicago-based cohort

BACKGROUND

It is unclear how older adults with chronic conditions, who have greater risk of alcohol-related adverse outcomes, used alcohol throughout the COVID-19 pandemic. We assess changes in hazardous drinking prevalence May 2020-December 2021 and factors associated with hazardous drinking.

METHODS

Data are from structured phone interviews of older adults (age 60+) with chronic conditions (e.g., hypertension, diabetes, pulmonary disease, heart disease) in a Chicago-based longitudinal cohort (Chicago COVID-19 Comorbidities survey, Waves 3-7, n = 247). We tested differences in the prevalence of hazardous drinking (defined as AUDIT-C score of 3+ for women and 4+ for men) across waves for the full sample, by demographic group (sex, race, and ethnicity), and by chronic condition burden (<3 conditions, 3+ conditions). Generalized estimating equations investigated associations of hazardous drinking with sociodemographic and pandemic coping-related factors (stress, loneliness, outside contacts, depression, anxiety).

RESULTS

Participants were 66.8% female; 27.9% non-Hispanic Black, 14.2% Hispanic, 4.9% other race. Hazardous drinking was reported by 44.9% of participants in May 2020, but declined to 23.1% by July-August 2020 and continued to slowly decline to 19.4% by September-December 2021. Differences from May 2020 were significant at the 0.05 level. Subgroups followed similar trajectories. Hazardous drinking prevalence was initially higher but declined more among men than women, consistently higher among non-Hispanic White respondents than among Hispanic and non-Hispanic Black respondents, and declined more rapidly among adults with 3+ chronic conditions. In adjusted models, race and ethnicity were associated with lower prevalence of hazardous drinking (non-Hispanic Black: adjusted prevalence ratio [aPR] = 0.50, 95% confidence interval [CI] = 0.33, 0.74; other race: aPR = 0.26, 95% CI = 0.09, 0.81, compared with non-Hispanic White). No coping-related factors were significantly associated with hazardous drinking.

CONCLUSION

Among a cohort of older adults with chronic conditions, almost half engaged in hazardous drinking in early summer of the COVID-19 pandemic. While prevalence fell, these rates reinforce the need for alcohol screening and intervention in clinical settings among this population.

Association between clinical measures of unhealthy alcohol use and subsequent year hospital admissions in a primary care population

BACKGROUND

Screening for unhealthy alcohol use in primary care may help identify patients at risk for negative health outcomes.

AIMS

This study examined the associations between 1) screening with the AUDIT-C (alcohol consumption) and 2) an Alcohol Symptom Checklist (symptoms of alcohol use disorder) and subsequent-year hospitalizations.

METHODS

This retrospective cohort study was conducted in 29 primary care clinics in Washington State. Patients were screened in routine care (10/1/2016-2/1/2019) with the AUDIT-C (0-12) and administered the Alcohol Symptom Checklist (0-11) if they had AUDIT-C score ≥ 7. All-cause hospitalizations were measured within 1 year of the AUDIT-C and Alcohol Symptom Checklist. AUDIT-C and Alcohol Symptom Checklist scores were categorized based on previously used cut-points.

FINDINGS

Of 305,376 patients with AUDIT-Cs, 5.3% of patients were hospitalized in the following year. AUDIT-C scores had a J-shaped relationship with hospitalizations, with risk for all-cause hospitalizations higher for patients with the AUDIT-C scores 9-12 (12.1%; 95% CI: 10.6-13.7%, relative to a comparison group of those with AUDIT-C scores 1-2 (female)/1-3 (male) (3.7%; 95% CI: 3.6-3.8%), adjusted for socio-demographics. Patients with AUDIT-C ≥ 7 and Alcohol Symptom Checklist scores reflecting severe AUD were at increased risk of hospitalization (14.6%, 95% CI: 11.9-17.9%) relative to those with lower scores.

CONCLUSIONS

Higher AUDIT-C scores were associated with higher incidence of hospitalizations except among people with low-level drinking. Among patients with AUDIT-C ≥ 7, the Alcohol Symptom Checklist identified patients at increased risk of hospitalization. This study helps demonstrate the potential clinical utility of the AUDIT-C and Alcohol Symptom Checklist.

Driven by need, shaped by access: Heterogeneity in patient profiles and patterns of service utilization in patients with alcohol use disorders

BACKGROUND

Patients with alcohol-use disorders (AUDs) are highly heterogenous and account for an increasing proportion of general medical hospital visits. However, many patients with AUDs do not present with severe medical or psychiatric needs requiring immediate attention. There may be a mismatch between some patients' needs and the available services, potentially driving re-admissions and re-encounters. The current study aims to identify subgroups of AUD patients and predict differences in patterns of healthcare service use (HSU) over time.

METHODS

Latent class analysis (LCA) was conducted using hospital data incorporating sociodemographic, health behavior, clinical, and service use variables to identify subtypes of AUD patients, then class membership was used to predict patterns of HSU.

RESULTS

Four classes were identified with the following characteristics: (1) Patients with acute medical injuries (30 %); (2) Patients with socioeconomic and psychiatric risk factors, (11 %); (3) Patients with chronic AUD with primarily non-psychiatric medical needs (18 %); and (4) Patients with primary AUDs with low medical-treatment complexity (40 %). Negative binomial models showed that Class 4 patients accounted for the highest frequency of service use, including significantly higher rates of emergency department reencounters at 30 days and 12 months.

CONCLUSIONS

The profile and patterns of HSU exhibited by patients in class 4 suggest that these patients have needs which are not currently being addressed in the emergency department. These have implications for how resources are allocated to meet the needs of patients with AUDs, including those who make frequent visits to the emergency department without high acuity medical needs.

Rates, Reasons, and Independent Predictors of Readmissions in Portal Venous Thrombosis Hospitalizations in the USA

BACKGROUND

Portal vein thrombosis (PVT), generally considered rare, is becoming increasingly recognized with advanced imaging. Limited data exist regarding readmissions in PVT and its burden on the overall healthcare cost. This study aimed to outline the burden of PVT readmissions and identify the modifiable predictors of readmissions.

METHODS

The National Readmission Database (NRD) was used to identify PVT admissions from 2016 to 2019. Using the patient demographic and hospital-specific variables within the NRD, we grouped patient encounters into two cohorts, 30- and 90-day readmission cohorts. We assessed comorbidities using the validated Elixhauser comorbidity index. We obtained inpatient mortality rates, mean length of hospital stay (LOS), total hospital cost (THC), and causes of readmissions in both 30- and 90-day readmission cohorts. Using a multivariate Cox regression analysis, we identified the independent predictors of 30-day readmissions.

RESULTS

We identified 17,971 unique index hospitalizations, of which 2,971 (16.5%) were readmitted within 30 days. The top five causes of readmissions in both 30-day and 90-day readmission cohorts were PVT, sepsis, hepatocellular cancer, liver failure, and alcoholic liver cirrhosis. The following independent predictors of 30-day readmission were identified: discharge against medical advice (AMA) (adjusted hazard ratio (aHR) 1.86; P = 0.002); renal failure (aHR 1.44, P = 0.014), metastatic cancer (aHR 1.31, P = 0.016), fluid and electrolyte disorders (aHR 1.20, P = 0.004), diabetes mellitus (aHR 1.31, P = 0.001) and alcohol abuse (aHR 1.31, P ≤ 0.001).

CONCLUSION

The readmission rate identified in this study was higher than the national average and targeted interventions addressing these factors may help reduce the overall health care costs.

Young people with prior health service contacts have increased risk of repeated alcohol-related harm hospitalisations

INTRODUCTION

After a first alcohol-related hospitalisation in youth, subsequent hospitalisations may demonstrate an increased risk of further alcohol-related hospitalisations, but there is no existing data on this.

METHODS

A retrospective longitudinal study between July 1992 and June 2017 using linked hospital administrative data identified 23 464 Western Australian young people [9009 (38.4%) females and 14 455 (61.6%) males], aged 12-24 years hospitalised for at least one alcohol-related harm (ARH) episode of care. Cox regression was used to estimate hazard ratios (HR) between risk factors and repeated alcohol-related hospitalisation after the first discharge for ARH.

RESULTS

Of those admitted for an alcohol-related hospitalisation (n = 23 464), 21% (n = 4996) were readmitted for ARH. This high-risk sub-group comprised 46% (n = 16 017) of the total alcohol-related admissions (n = 34 485). After the first discharge for ARH, 16% (804) of people who experienced an alcohol-related readmission were readmitted within 1 month, and 51.8% (2589) were readmitted within 12 months. At increased risk of readmission were Aboriginal people and those with prior health service contacts occurring before their first alcohol-related hospitalisation, including illicit drug hospitalisations, mental health contacts and, in a sub-analysis, emergency department presentations.

DISCUSSION AND CONCLUSIONS

The probability of a repeated ARH hospitalisation was highest in the first month after initial discharge. There is a high-risk sub-group of young people more likely to have a repeat ARH hospitalisation. This represents an opportunity to provide interventions to those most at risk of repeated ARH.

Clinical Outcomes in Routine Evaluation Measures for Patients Discharged from Acute Psychiatric Care: Four-Arm Peer and Text Messaging Support Controlled Observational Study

Background: Peer support workers (PSW) and text messaging services (TxM) are supportive health services that are frequently examined in the field of mental health. Both interventions have positive outcomes, with TxM demonstrating clinical and economic effectiveness and PSW showing its utility within the recovery-oriented model. Objective: To evaluate the effectiveness of PSW and TxM in reducing psychological distress of recently discharged patients receiving psychiatric care. Methods: This is a prospective, rater-blinded, pilot-controlled observational study consisting of 181 patients discharged from acute psychiatric care. Patients were randomized into one of four conditions: daily supportive text messages only, peer support only, peer support plus daily text messages, or treatment as usual. Clinical Outcomes in Routine Evaluation—Outcome Measure (CORE-OM), a standardized measure of mental distress, was administered at four time points: baseline, six weeks, three months, and six months. MANCOVA was used to assess the impact of the interventions on participants’ scores on four CORE-OM subscales across the three follow-up time points. Recovery, clinical change, and reliable change in CORE-OM all-item analysis were examined across the four groups, and the prevalence of risk symptoms was measured. Results: A total of 63 patients completed assessments at each time point. The interaction between PSW and TxM was predictive of differences in scores on the CORE-OM functioning subscale with a medium effect size (F1,63 = 4.19; p = 0.045; ηp2 = 0.07). The PSW + TxM group consistently achieved higher rates of recovery and clinical and reliable improvement compared to the other study groups. Additionally, the text message group and the PSW + TxM group significantly reduced the prevalence of risk of self/other harm symptoms after six months of intervention, with 27.59% (χ2(1) = 4.42, p = 0.04) and 50% (χ2(1) = 9.03, p < 0.01) prevalence reduction, respectively. Conclusions: The combination of peer support and supportive text messaging is an impactful intervention with positive clinical outcomes for acute care patients. Adding the two interventions into routine psychiatric care for patients after discharge is highly recommended.

A systematic review of self-report measures used in epidemiological studies to assess alcohol consumption among older adults

Background

There is a lack of standardization regarding how to assess and categorize alcohol intake in older adults. The aim of this study was to systematically review methods used in epidemiological studies to define drinking patterns and measure alcohol consumption among older adults.

Methods

A systematic search was conducted in the MEDLINE, PubMed, PsycINFO, EMBASE, and CINAHL databases for studies published from January 2009 to April 2021. Studies were included if they were observational studies with a quantitative design; the mean age of the participants was ≥ 65 years; questionnaires, screening tools, or diagnostic tools were used to define alcohol consumption; and alcohol consumption was self-reported.

Results

Of 492 studies considered, 105 were included. Among the 105 studies, we detected 19 different drinking patterns, and each drinking pattern had a wide range of definitions. The drinking patterns abstaining from alcohol, current drinking, and risk drinking had seven, 12 and 21 diverse definitions, respectively. The most used questionnaire and screening tools were the quantity-frequency questionnaire, with a recall period of 12 months, and the full and short versions of the Alcohol Use Disorders Identification Test, respectively.

Conclusion

No consensus was found regarding methods used to assess, define, and measure alcohol consumption in older adults. Identical assessments and definitions must be developed to make valid comparisons of alcohol consumption in older adults. We recommend that alcohol surveys for older adults define the following drinking patterns: lifetime abstainers, former drinkers, current drinkers, risk drinking, and heavy episodic drinking. Standardized and valid definitions of risk drinking, and heavy episodic drinking should be developed. The expanded quantity-frequency questionnaire including three questions focused on drinking frequency, drinking volume, and heavy episodic drinking, with a recall period of 12 months, could be used.

The prevalence, characteristics, and risk factors of frequently readmitted patients to an internal medicine service

AIMS

To determine the prevalence, characteristics and risk factors associated with frequent readmissions to an internal medicine service at a tertiary public hospital.

METHOD

A retrospective observational study was conducted at an internal medicine service in a tertiary teaching hospital between 1st January 2010 and the 30th June 2016. Frequent readmission was defined as four or more readmissions within 12 months of discharge from the index admission. Demographic and clinical characteristics, and potential risk factors were evaluated.

RESULTS

50 515 patients were included, 1657 (3.3%) had frequent readmissions and were associated with nearly 2.5 times higher in 12-month mortality rates. They were older, had higher rates of Indigenous Australians (3.2%), more disadvantaged status (Index of Relative Socio-Economic Disadvantage decile of 5.3), and more comorbidities (mean Charlson comorbidity index 1.4) in comparison, to infrequent readmission group. The mean length of hospital stay during the index admission was 6 days for frequent readmission group (21.4% staying more than 7 days) with higher incidence of discharge against medical advice (2.0% higher). Intensive care unit admission rate was 6.6% for frequent readmission group compared to 3.9% for infrequent readmission group. Multivariate analysis showed mental disease and disorders, neoplastic, and alcohol/drug use and alcohol/drug induced organic mental disorders are associated with frequent readmission.

CONCLUSION

The risk factors associated with frequent readmission were older age, indigenous status, being socially disadvantaged, having higher comorbidities, and discharging against medical advice. Conditions that lead to frequent readmissions were mental disorders, alcohol/drug use and alcohol/drug induced organic mental disorders, and neoplastic disorders.

Risk factors and costs associated with 30-day readmissions following alcohol-related hospitalizations in the United States from 2010 to 2015

Patients with alcohol-related diagnoses at initial hospitalization are at high risk of 30-day readmission. Understanding risk factors for 30-day readmission among these patients may help to identify those who would benefit from efforts to reduce risk of readmission. The Nationwide Readmissions Database was used to estimate 30-day all-cause readmissions among United States patients with an alcohol-related index hospitalization and to evaluate risk factors and costs associated with these readmissions. Included patients were 18 years of age or older at initial hospitalization, had an alcohol-related primary diagnosis (based on ICD-9-CM codes), and were discharged between 2010 and 2015. They were followed for 30 days after initial hospitalization within the calendar year to identify all-cause readmissions. A logistic regression analysis assessed the association between risk factors and 30-day readmission. Average costs of initial admissions and readmissions were estimated. Among 113,931,723 adult index hospitalizations, 1,124,228 had alcohol-related diagnoses. Patients had a mean age of 49 years, 73% were male, and 45% had public insurance coverage. The annual rate of 30-day readmissions among patients with index alcohol-related hospitalizations increased from 119 readmissions per 1000 admissions in 2010 to 140 per 1000 in 2015, while the rate of readmissions among patients with all-cause hospitalizations declined from 103 to 98 per 1000. The regression analysis suggested that age, male sex, comorbid conditions, discharge against medical advice, admission to large and teaching hospitals, and Medicaid vs. non-Medicaid payment were all risk factors for 30-day readmission. Mean costs of initial alcohol-related hospitalizations were greater among those with a 30-day readmission than without a 30-day readmission, and the mean cost of 30-day readmission was even greater. Mitigating the upward trend in rates of readmission following alcohol-related initial hospitalizations may be addressed through better identification of high-risk patients who are admitted with an alcohol-related diagnosis and greater use of existing evidence-based psychosocial and pharmacotherapy treatment methods.

Cannabis use, other drug use, and risk of subsequent acute care in primary care patients

BACKGROUND

Cannabis and other drug use is associated with adverse health events, but little is known about the association of routine clinical screening for cannabis or other drug use and acute care utilization. This study evaluated whether self-reported frequency of cannabis or other drug use was associated with subsequent acute care.

METHOD

This retrospective cohort study used EHR and claims data from 8 sites in Washington State that implemented annual substance use screening. Eligible adult primary care patients (N = 47,447) completed screens for cannabis (N = 45,647) and/or other drug use, including illegal drug use and prescription medication misuse, (N = 45,255) from 3/3/15-10/1/2016. Separate single-item screens assessed frequency of past-year cannabis and other drug use: never, less than monthly, monthly, weekly, daily/almost daily. An indicator of acute care utilization measured any urgent care, emergency department visits, or hospitalizations ≤19 months after screening. Adjusted Cox proportional hazards models estimated risk of acute care.

RESULTS

Patients were predominantly non-Hispanic White. Those reporting cannabis use less than monthly (Hazard Ratio [HR] = 1.12, 95 % CI = 1.03-1.21) or daily (HR = 1.24; 1.10-1.39) had greater risk of acute care during follow-up than those reporting no use. Patients reporting other drug use less than monthly (HR = 1.34; 1.13-1.59), weekly (HR = 2.21; 1.46-3.35), or daily (HR = 2.53; 1.86-3.45) had greater risk of acute care than those reporting no other drug use.

CONCLUSION

Population-based screening for cannabis and other drug use in primary care may have utility for understanding risk of subsequent acute care. It is unclear whether findings will generalize to U.S. states with broader racial/ethnic diversity.

Readmission Rates and Associated Outcomes for Alcoholic Hepatitis: A Nationwide Cohort Study

BACKGROUND/AIMS

Alcoholic hepatitis (AH) can lead to sudden and severe hepatic decompensation necessitating recurrent hospitalizations. We evaluated the trends, predictors, and healthcare cost burden of AH-related readmissions in the USA.

METHODS

Utilizing the National Readmissions Database 2010-2014, we performed a retrospective longitudinal analysis to identify the index readmission with AH for up to 90 days after discharge. Annual trends of 30- and 90-day AH-related readmissions were calculated. Predictors of 30- and 90-day readmission were determined by multivariate logistic regression. Annual healthcare cost burden associated with AH-linked readmissions was estimated.

RESULTS

Of the 21,572 (unweighted: 50,769) AH-related hospitalizations, 4917 (22.8%) and 7890 (36.6%) were readmitted in 30 and 90 day, respectively, with rates that were statistically unchanged from 2010 to 2014. Predictors of 30-day readmissions included female gender, hepatitis C virus infection, cirrhosis, ascites, acute kidney injury, urinary tract infection, history of bariatric surgery, chronic pancreatitis, and high medical comorbidity index. Acute pancreatitis and palliative care consultation were associated with a lower risk of 30-day readmission. Predictors of 90-day readmission were similar to risk factors for 30-day readmission. From 2010 to 2014, the annual cost (and total hospitalization days) burden increased in 2014 to $164 million (22,244 days) and $321 million (42,772 days) for 30- and 90-day AH-related readmissions, respectively.

CONCLUSION

Despite relatively stable trends in AH-related readmission, the total LOS and cost has been rising. A target-directed approach with a focus on high-risk subpopulations may help understand the unique challenges associated with the rising cost of AH-related readmissions.

The relationship of cannabis decriminalization in Colorado and cannabis use in individuals with alcohol use disorders

OBJECTIVE

Over the past decade, cannabis use has become increasingly popular in states that include Colorado. During this time, alcohol use disorders (AUDs) and alcohol-related medical conditions have also been consistently recognized as public health problems with increasing prevalence in the state. Despite the widespread use of cannabis in Colorado, the epidemiology of cannabis use among those with AUDs has been poorly described. Therefore, we sought to examine cannabis use among individuals with likely AUDs and individuals with low-risk alcohol use during a time of major Colorado legislative changes before and after legalization of recreational cannabis in 2012.

METHODS

This study was a secondary data analysis conducted with information from 303 participants (80% male) in the Denver, CO metropolitan enrolled between August 2007 and April 2016 for studies related to alcohol and lung health. Of these participants, 188 (62%) were completing inpatient alcohol detoxification with likely AUDs. All participants completed the Alcohol Use Disorder Identification Test (AUDIT) to establish their likelihood of an AUD, and all had information on current cannabis use assessed by questionnaire and urine toxicology testing.

RESULTS

Individuals with likely AUDs more commonly used cannabis compared to control participants (42% vs 27%, p = 0.007). In multiple logistic regression analyses, participant type (likely AUD versus control), tobacco smoking, and age were significantly associated with cannabis smoking; however, the year of participant enrollment was not. Adjusted odds for cannabis use among participants with likely AUDs were 2.97 (1.51-5.82), p = 0.002, while odds for cannabis use among tobacco smokers were 3.67 (1.94-6.93), p < 0.0001. Among control participants, tobacco smoking increased odds of cannabis use seven-fold.

CONCLUSIONS

Our findings highlight the exceptionally high odds of cannabis use among individuals with likely AUDs undergoing alcohol detoxification at a Colorado treatment facility before and after legalization of recreational cannabis. Targeted investigations into the medical and psychiatric consequences of combined alcohol and cannabis use are urgently needed to define its health impact in these vulnerable individuals.

Screening, brief intervention, and referral to treatment (SBIRT) education of residential care nursing staff: Impact on staff and residents

Approximately 40% of older adults drink alcohol. Older adults living in community care residences are a vulnerable population at risk for alcohol use related problems especially for those age 65 years and older who are taking medications, have health problems, and have risky alcohol consumption. Screening, brief intervention, and referral to treatment (SBIRT) is an evidence-based approach for individuals at risk for alcohol use disorders. A quality improvement project evaluated SBIRT education effects on nursing staff knowledge and attitudes related to alcohol use, and resident alcohol use. The staffs' SBIRT knowledge and alcohol related attitudes increased significantly. The staff documented SBIRT intervention 231 times in three months' post training.

Level of Alcohol Use Associated with HIV Care Continuum Targets in a National U.S. Sample of Persons Living with HIV Receiving Healthcare

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 < 500 copies/ml) within one year. Among 33,224 patients, alcohol use level was inversely associated with all care continuum outcomes (all p < 0.001). Adjusted prevalence of care engagement ranged from 77.8% (95% CI 77.1-78.4%) for non-drinking to 69.1% (66.6-71.6%) for high-level drinking. The corresponding range for ART treatment was 74.0% (73.3-74.7%) to 60.1% (57.3-62.9%) and for viral suppression was 57.3% (56.5-58.1%) to 38.3% (35.6-41.1%). Greater alcohol use is associated with suboptimal HIV treatment across the HIV care continuum.

Alcohol misuse and outpatient follow-up after hospital discharge: a retrospective cohort study

Purpose

Patients with alcohol misuse are less likely to receive preventive health services but more likely to utilize emergency health services. However, the association between alcohol misuse and outpatient follow-up after hospitalization is unknown and may depend on whether a patient experiences a critical illness. We sought to determine whether alcohol misuse was associated with lower rates of outpatient follow-up after hospital discharge and whether the magnitude of this association differed in patients who experienced a critical illness.

Materials and methods

This was a retrospective cohort study using administrative data from an urban safety net hospital. Patients were included if they were admitted between 2011 and 2015, were between the ages of 18 and 89, resided within the safety net county, were discharged home, and were at moderate to high risk for hospital readmission within the subsequent 30 days. Alcohol misuse was identified using a combination of ICD-9 codes and response to a single screening question. The primary outcome was a combined measure of follow-up with a primary care physician or specialist provider in the 30 days following hospital discharge. Multivariable logistic regression was used to adjust for factors known to be associated with healthcare utilization.

Results

Overall, 17,575 patients were included in the analysis; 4984 (28%) had alcohol misuse. In the 30 days following hospital discharge, 46% of patients saw any outpatient provider. In an unadjusted analysis, the association between alcohol misuse and attending any outpatient follow-up was dependent on whether patients had a critical illness (p value < 0.0001) with the highest rates of follow-up in survivors of critical illness without alcohol misuse (53%, 95% CI 51%, 55%) followed by patients without alcohol misuse or critical illness (49%; 95% CI 48%, 50%), patients with alcohol misuse without critical illness (38%; 95% CI 36%, 39%), and patients with alcohol misuse and a critical illness (37%; 95% CI 35%, 40%). Adjusting for factors associated with healthcare utilization, these findings were modestly attenuated but unchanged.

Conclusions

Patients with alcohol misuse who are at moderate to high risk for hospital readmission may benefit from targeted interventions to increase rates of outpatient follow-up after hospital discharge.

Electronic supplementary material

The online version of this article (10.1186/s13722-018-0125-1) contains supplementary material, which is available to authorized users.

Assessing Brief Intervention for Unhealthy Alcohol Use: A Comparison of Electronic Health Record Documentation and Patient Self-Report

OBJECTIVE

Alcohol screening and brief intervention (BI) are recommended preventive health practices. Veterans Health Administration (VA) uses a performance measure to incentivize BI delivery. Concerns have been raised about the validity of the BI performance measure, which relies on electronic health record (EHR) documentation. Our objective was to assess concordance between EHR-based documentation and patient-reported receipt of BI, and to examine correlates of concordance.

METHOD

Patients with a documented positive screen for unhealthy alcohol use at VA Greater Los Angeles primary care clinics were surveyed (within 15 days on average) in 2013-2014. Documented BI was indicated by an EHR note that the patient was advised to drink within recommended limits or reduce or abstain from drinking. Patient-reported receipt of BI corresponded to an affirmative response to questions on whether a VA provider advised the patient to drink less or abstain. Patient report and documentation were assessed over the same period.

RESULTS

Documented and patient-reported receipt of BI had low concordance. Almost all patients who reported receiving BI had documentation of BI (93%; 95% CI [90%, 95%]), but only 63% [59%, 67%] of patients with documented BI reported receiving it. BI concordance was associated with more severe unhealthy alcohol use and drinking-related consequences, mental health comorbidity, and greater readiness-to-change alcohol use.

CONCLUSIONS

Discrepancies between EHR documentation and patient-reported BI raise concerns about performance measure validity. Patient-reported receipt of BI could be an alternative or complementary measure of BI.

The Association Between Unhealthy Alcohol Use and Acute Care Expenditures in the 30 Days Following Hospital Discharge Among Older Veterans Affairs Patients with a Medical Condition

Hospital readmissions and emergency department (ED) visits within 30 days of discharge are costly. Heavy alcohol use could predict increased risk for post-discharge acute care. This study assessed 30-day acute care utilization and expenditures for different categories of alcohol use. Veterans Affairs (VA) patients age ≥65 years with past-year alcohol screening, hospitalized for a medical condition, were included. VA and Medicare health care utilization data were used. Two-part models adjusted for patient demographics. Among 416,050 hospitalized patients, 25% had 30-day acute care use. Nondrinking patients (n = 267,746) had increased probability of acute care use, mean utilization days, and expenditures (difference of $345; 95% CI $268-$423), relative to low-risk drinkers (n = 105,023). High-risk drinking patients (n = 5,300) had increased probability of acute care use and mean utilization days, but not expenditures. Although these patients did not have greater acute care expenditures than low-risk drinking patients, they may nevertheless be vulnerable to poor post-discharge outcomes.

Alcohol Use in an Older Adult Referred to a Consultation-Liaison Psychiatry Service: A Case Report

Alcohol use disorder in older adults is associated with a number of substantial medical complications, including cognitive decline. Due to limited success and application of screening approaches in this cohort, older adults are more likely to present to general hospital settings with undiagnosed problematic alcohol use. Consultation-liaison psychiatry services operating in general hospital settings are likely to be referred older adults with alcohol use disorders for assessment and management. A 77-year-old female presented to a metropolitan hospital with symptoms including frequent falls, slurred speech, difficulty judging distance, hypersomnia, poor reasoning, and odd behaviours. She also presented with severe anxiety and bruxism. Several diagnostic tests were inconclusive, and a consultation-liaison psychiatry assessment revealed a prominent heavy drinking pattern and concurrent abuse of oxycodone and benzodiazepines. This report adds further support to the case for uniform screening of all older adults for alcohol and other drug (AOD) use. A number of weeks had passed before the patient's drinking pattern was established, with no withdrawal management in place. A multifaceted treatment approach, including antidepressant therapy, anticraving medication, benzodiazepine as well as opiate rationalisation, and AOD counselling support was commenced prior to discharge from the general hospital.

Alcohol screening scores and the risk of intensive care unit admission and hospital readmission

BACKGROUND

The association between alcohol misuse and the need for intensive care unit admission as well as hospital readmission among those discharged from the hospital following a critical illness is unclear. This study sought to determine whether alcohol misuse was associated with (1) admission to an intensive care unit (ICU) among a cohort of patients receiving outpatient care and (2) hospital readmission among those discharged from the hospital following critical illness.

METHODS

This was a retrospective cohort study conducted with data from 24 Veterans Affairs (VA) health care facilities between 2004 and 2007. Scores on the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaire were used to identify patients with past-year abstinence, lower-risk alcohol use, moderate alcohol misuse, or severe alcohol misuse. The primary outcome was admission to a VA intensive care unit within the year following administration of the AUDIT-C. In an analysis focused on patients discharged from the ICU, the 2 main outcomes were hospital readmission within 1 year and within 30 days.

RESULTS

Among 486,115 veterans receiving outpatient care, the adjusted probability of ICU admission within 1 year was 2.0% (95% confidence interval [CI]: 1.7%-2.3%) for abstinent patients, 1.6% (95% CI: 1.3%-1.8%) for patients with lower-risk alcohol use, 1.8% (1.4%-2.3%) for patients with moderate alcohol misuse, and 2.5% (2.0%-2.9%) for patients with severe alcohol misuse. Among the 9,030 patients discharged from an ICU, the adjusted probability of hospital readmission within 1 year was 48% (46%-49%) in abstinent patients, 44% (42%-45%) in patients with lower-risk alcohol use, 42% (39%-45%) in patients with moderate alcohol misuse, and 55% (49%-60%) in patients with severe alcohol misuse.

CONCLUSIONS

Alcohol misuse may represent a modifiable risk factor for a cycle of ICU admission and subsequent hospital readmission.