Initiative to deprescribe high-risk drugs for older adults presenting to the emergency department after falls.

BACKGROUND: Over 35 million falls occur in older adults annually and are associated with increased emergency department (ED) revisits and 1-year mortality. Despite associations between medications and falls, the prevalence of fall risk-increasing drugs remains high. Our objective was to implement an ED-based medication reconciliation for patients presenting after falls and determine whether an intervention targeting high-risk medications was related to decreased future falls. METHODS: This was an observational prospective cohort study at a single site in the United States. Adults 65 years and older presenting to the ED after falls had a pharmacist review their medicines. Pharmacists made recommendations to taper, stop, or discuss medications with the primary clinician. At 3, 6, and 12 months, we recorded the number of fall-related return ED visits and determined if recommended medication changes had been implemented. We compared the rate of return visits of patients who had followed the medication change recommendations and those who received recommendations but had no change in their medications using chi-square tests. RESULTS: A total of 577 patients (mean age 81 years, 63.6% female) were enrolled of 1509 potentially eligible patients. High-risk medications were identified in 310 patients (53.7%) who received medication recommendations. High-risk medications were associated with repeat fall-related visits at 12 months (risk difference 8.1% [95% confidence interval 0.97-15.0]). A total of 134 (43%) patients on high-risk medications had evidence of medication modification. At 12 months, there was no statistically significant difference in return fall visits between patients who had modifications to medications compared with those who had not implemented changes (p = 0.551). CONCLUSIONS: Our findings identified opportunities for medication optimization in over half of emergency visits for falls and demonstrated that medication counseling in the ED is feasible. However, evaluation of the effect on future falls was limited.

The aging gut: Symptoms compatible with disorders of gut-brain interaction (DGBI) in older adults in the general population.

BACKGROUND: Little is known about changes in gastrointestinal symptoms compatible with disorders of gut-brain interaction (DGBI) with increasing age at the population level. The objective of this study was to describe the patterns of DGBI in individuals 65 years of age and above and contrasting them with those of younger adults. METHODS: A community sample of 6300 individuals ages 18 and older in the US, UK, and Canada completed an online survey. Quota-based sampling was used to ensure equal proportion of sex and age groups (40% aged 18-39, 40% aged 40-64, 20% aged 65+) across countries, and to control education distributions. The survey included the Rome IV Diagnostic Questionnaire for DGBI, demographic questions, questionnaires measuring overall somatic symptom severity and quality of life, and questions on healthcare utilization, medications, and surgical history. RESULTS: We included 5926 individuals in our analyses; 4700 were 18-64 years of age and 1226 were ages 65+. Symptoms compatible with at least one DGBI were less prevalent in participants ages 65+ vs. ages 18-64 years (34.1% vs. 41.3%, p < 0.0001). For symptoms compatible with upper GI DGBI, lower prevalence for most disorders was noted in the 65+ group. For lower GI DGBI, a different pattern was seen. Prevalence was lower in ages 65+ for irritable bowel syndrome and anorectal pain, but no differences from younger participants for the disorders defined by abnormal bowel habits (constipation and/or diarrhea) were seen. Fecal incontinence was the only DGBI that was more common in ages 65+. Having a DGBI was associated with reduced quality of life, more severe non-GI somatic symptoms, and increased healthcare seeking, both in younger and older participants. CONCLUSION: Symptoms compatible with DGBI are common, but most of these decrease in older adults at the population level, with the exception of fecal incontinence which increases. This pattern needs to be taken into account when planning GI health care for the growing population of older adults.

Supporting the 'lived expertise' of older adults with type 1 diabetes: An applied focus group analysis to characterize barriers, facilitators, and strategies for self-management in a growing and understudied population.

INTRODUCTION: There is a growing number of older adults (≥65 years) who live with type 1 diabetes. We qualitatively explored experiences and perspectives regarding type 1 diabetes self-management and treatment decisions among older adults, focusing on adopting care advances such as continuous glucose monitoring (CGM). METHODS: Among a clinic-based sample of older adults ≥65 years with type 1 diabetes, we conducted a series of literature and expert informed focus groups with structured discussion activities. Groups were transcribed followed by inductive coding, theme identification, and inference verification. Medical records and surveys added clinical information. RESULTS: Twenty nine older adults (age 73.4 ± 4.5 years; 86% CGM users) and four caregivers (age 73.3 ± 2.9 years) participated. Participants were 58% female and 82% non-Hispanic White. Analysis revealed themes related to attitudes, behaviours, and experiences, as well as interpersonal and contextual factors that shape self-management and outcomes. These factors and their interactions drive variability in diabetes outcomes and optimal treatment strategies between individuals as well as within individuals over time (i.e. with ageing). Participants proposed strategies to address these factors: regular, holistic needs assessments to match people with effective self-care approaches and adapt them over the lifespan; longitudinal support (e.g., education, tactical help, sharing and validating experiences); tailored education and skills training; and leveraging of caregivers, family, and peers as resources. CONCLUSIONS: Our study of what influences self-management decisions and technology adoption among older adults with type 1 diabetes underscores the importance of ongoing assessments to address dynamic age-specific needs, as well as individualized multi-faceted support that integrates peers and caregivers.

Patient Perceptions of Opioids and Benzodiazepines and Attitudes Toward Deprescribing.

BACKGROUND: Opioids and benzodiazepines (BZDs) pose a public health problem. Older adults are especially susceptible to adverse events from opioids and BZDs owing to an increased usage of opioids and BZDs, multiple comorbidities, and polypharmacy. Deprescribing is a possible, yet challenging, solution to reducing opioid and BZD use. OBJECTIVE: We aimed to explore older adult patients' knowledge of opioids and BZDs, perceived facilitators and barriers to deprescribing opioids and BZDs, and attitudes toward alternative treatments for opioids and BZDs. METHODS: We conducted 11 semi-structured interviews with patients aged 65+ years with long-term opioid and/or BZD prescriptions. The interview guide was developed by an interprofessional team and focused on patients' knowledge of opioids and BZDs, perceived ability to reduce opioid or BZD use, and attitudes towards alternative treatments. RESULTS: Three patients had taken opioids, either currently or in the past, three had taken BZDs, and five had taken both opioids and BZDs. Generally, knowledge of opioids and BZDs was variable among patients; yet facilitators and barriers to deprescribing both opioids and BZDs were consistent. Facilitators of deprescribing included patient-provider trust and slow tapering of medications, while barriers included concerns about re-emergence of symptoms and a lack of motivation, particularly if medications and symptoms were stable. Patients were generally unenthusiastic about pursuing alternative pharmacologic and non-pharmacologic alternatives to opioids and BZDs for symptom management. CONCLUSIONS: Our findings indicate that patients are open to deprescribing opioids and BZDs under certain circumstances, but overall remain hesitant with a lack of enthusiasm for alternative treatments. Future studies should focus on supportive approaches to alleviate older adults' deprescribing concerns.

Establishing and sustaining an acute care for elders unit: An incremental journey to success.

Acute Care for Elders (ACE) units reduce hospital-associated delirium, functional decline, and lengths of stay. However, establishing and sustaining such units have proven difficult. There are only 43 ACE units among the >3500 hospitals in the United States. This study describes an iterative quality improvement process, which allowed us to establish and sustain an ACE unit care model in a modern academic hospital. This continuous process was centered on implementing the key principles of the ACE unit model of care: patient-centered care assessments, medical care review, specialized prepared environment, early mobilization, physical therapy, and early planning for discharge to home. Quality of care and patient outcomes data for older adults admitted to our ACE unit includes mortality index (observed/expected) consistently <1 (FY22 = 0.86), 30-day readmission rate of <10% (FY22 9.31%), and length of stay index of ~1 (FY22 1.07). We describe how work on our ACE unit has led to hospital-wide initiatives, including dementia-friendly hospital certification. Our hope is that others can use this process to enhance the dissemination of the ACE unit model of care.

Patterns and disparities in prescribing of opioids and benzodiazepines for older adults in North Carolina.

BACKGROUND: We characterized real-world prescribing patterns of opioids and benzodiazepines (BZDs) for older adults to explore potential disparities by race and sex and to characterize patterns of co-prescribing. METHODS: A retrospective evaluation was conducted using electronic health data for adults ≥65 years old who presented to one of 15 primary care practices between 2019 and 2020 (n = 25,141). Chronic opioid and BZD users had ≥4 prescriptions in the year prior, with at least one in the last 90 or 180 days, respectively. We compared demographic characteristics between all older adults versus chronic opioid and BZD users. We used logistic regression to identify characteristics (age, sex, race, Medicaid use, fall history) associated with opioid and BZD co-prescribing. RESULTS: We identified 833 (3.3%) chronic opioid and 959 chronic BZD users (3.8%) among all older adults seen in these practices. Chronic opioid users were less likely to be Black (12.7% vs. 14.3%) or other non-White race (1.4% vs. 4.3%), but more likely to be women (66.8% vs. 61.3%). A similar trend was observed for BZD users, with less prescribing among Black (5.4% vs. 14.3%) and other races (2.2% vs. 4.3%) older adults and greater prescribing among women (73.6% vs. 61.3%). Co-prescribing was observed among 15% of opioid users and 13% of BZD users. Co-prescribing was largely driven by the presence of relevant co-morbid conditions including chronic pain, anxiety, and insomnia rather than demographic characteristics. CONCLUSIONS: We observed notable disparities in opioid and BZD prescribing by sex and race among older adults in primary care. Future research should explore if such patterns reflect appropriate prescribing or are due to disparities in prescribing driven by biases related to perceived risks for misuse.

Individualized interventions and precision health: Lessons learned from a systematic review and implications for analytics-driven geriatric research.

Older adults are characterized by profound clinical heterogeneity. When designing and delivering interventions, there exist multiple approaches to account for heterogeneity. We present the results of a systematic review of data-driven, personalized interventions in older adults, which serves as a use case to distinguish the conceptual and methodologic differences between individualized intervention delivery and precision health-derived interventions. We define individualized interventions as those where all participants received the same parent intervention, modified on a case-by-case basis and using an evidence-based protocol, supplemented by clinical judgment as appropriate, while precision health-derived interventions are those that tailor care to individuals whereby the strategy for how to tailor care was determined through data-driven, precision health analytics. We discuss how their integration may offer new opportunities for analytics-based geriatric medicine that accommodates individual heterogeneity but allows for more flexible and resource-efficient population-level scaling.

An interprofessional experience preparing a collaborative workforce to care for older adults.

The development and evaluation of an interprofessional education (IPE) pre-professional geriatrics experience involving learners from 10 different health discipline programs is described. The experience provided learners with opportunities to use small-group collaborative approaches in two 3-hour interprofessional sessions. Learners gained exposure to geriatric principles and awareness of the needs of older adults and their families using case studies developed by experienced interprofessional faculty. Learners completed pre- and post-experience surveys and worksheets on their confidence to function in interprofessional teams, knowledge of other disciplines, perceptions of importance of each discipline in providing older adult care, and the qualities considered for a successful team. Data were collected over three offerings of the experience (2016, 2017, 2018) and analyzed using paired sample t-tests and ANOVA. A total of 562 learners participated with outcome measures indicating increased knowledge of older adult services different health professionals provide and increased confidence in knowing when to complete care referrals. Mean increase in learners' confidence to function in interprofessional teams was significant, suggesting the experience was effective in facilitating confidence in functioning and improving views of other disciplines' roles. This experience demonstrated that learners gained exposure to apply geriatric principle skills and critical thinking as interprofessional team members.

Accuracy of the electronic health record's problem list in describing multimorbidity in patients with heart failure in the emergency department.

Patients with heart failure (HF) often suffer from multimorbidity. Rapid assessment of multimorbidity is important for minimizing the risk of harmful drug-disease and drug-drug interactions. We assessed the accuracy of using the electronic health record (EHR) problem list to identify comorbid conditions among patients with chronic HF in the emergency department (ED). A retrospective chart review study was performed on a random sample of 200 patients age ≥65 years with a diagnosis of HF presenting to an academic ED in 2019. We assessed participant chronic conditions using: (1) structured chart review (gold standard) and (2) an EHR-based algorithm using the problem list. Chronic conditions were classified into 37 disease domains using the Agency for Healthcare Research Quality's Elixhauser Comorbidity Software. For each disease domain, we report the sensitivity, specificity, positive predictive value, and negative predictive of using an EHR-based algorithm. We calculated the intra-class correlation coefficient (ICC) to assess overall agreement on Elixhauser domain count between chart review and problem list. Patients with HF had a mean of 5.4 chronic conditions (SD 2.1) in the chart review and a mean of 4.1 chronic conditions (SD 2.1) in the EHR-based problem list. The five most prevalent domains were uncomplicated hypertension (90%), obesity (42%), chronic pulmonary disease (38%), deficiency anemias (33%), and diabetes with chronic complications (30.5%). The positive predictive value and negative predictive value of using the EHR-based problem list was greater than 90% for 24/37 and 32/37 disease domains, respectively. The EHR-based problem list correctly identified 3.7 domains per patient and misclassified 2.0 domains per patient. Overall, the ICC in comparing Elixhauser domain count was 0.77 (95% CI: 0.71-0.82). The EHR-based problem list captures multimorbidity with moderate-to-good accuracy in patient with HF in the ED.

The Association of Selective Serotonin Reuptake Inhibitors With Delirium in Critically Ill Adults: A Secondary Analysis of the Bringing to Light the Risk Factors and Incidence of Neuropsychologic Dysfunction in ICU Survivors ICU Study.

OBJECTIVES: To assess the association between selective serotonin reuptake inhibitors (SSRI) and delirium in the subsequent 24 hours after drug administration in critically ill adults. DESIGN: Retrospective cohort study utilizing the Bringing to Light the Risk Factors and Incidence of Neuropsychologic Dysfunction in ICU Survivors dataset. SETTING: Two large U.S. ICUs. PATIENTS: Critically ill adults admitted to a medical or surgery ICU between March 2007 and May 2010 with respiratory failure or shock. INTERVENTIONS: Our primary outcome was the occurrence rate of delirium or coma during each day in the ICU. Our exposure variable was SSRI administration on the prior day in the ICU. As a secondary question, we assessed the association of SSRI administration and delirium the same day of SSRI administration in the ICU. MEASUREMENTS AND MAIN RESULTS: We analyzed 821 patients. The median age was 61.2 years old (interquartile range, 50.9-70.7), and 401 (48.8%) were female. A total of 233 patients (28.4%) received prescribed SSRIs at least once during their ICU admission. Delirium was present in 606 (74%) of the patients at some point during hospitalization in the ICU. Coma was present in 532 (64.8%) of the patients at some point during hospitalization in the ICU. After adjusting for multiple potential confounding factors, we found that SSRI administration in the ICU was associated with lower odds of delirium/coma (odds ratio [OR], 0.75; 95% CI, 0.57-1.00) the next day. An SSRI administered on the same day reduced the odds of delirium/coma as well (OR, 0.66; 95% CI, 0.50-0.87). CONCLUSIONS: SSRI administration is associated with decreased risk of delirium/coma in 24 hours and on the same day of administration in critically ill patients in a medical or surgical ICU.

Primary-Care Prescribers' Perspectives on Deprescribing Opioids and Benzodiazepines in Older Adults.

PURPOSE: Opioids and benzodiazepines (BZDs) are frequently implicated as contributing to falls in older adults. Deprescribing of these medications continues to be challenging. This study evaluated primary-care prescribers' confidence in and perceptions of deprescribing opioids and BZDs for older adults. METHODS: For this study, we conducted a quantitative analysis of survey data combined with an analysis of qualitative data from a focus group. A survey evaluating prescriber confidence in deprescribing opioids and BZDs was distributed to providers at 15 primary-care clinics in North Carolina between March-December 2020. Average confidence (scale 0-100) for deprescribing opioids, deprescribing BZDs, and deprescribing under impeding circumstances were reported. A virtual focus group was conducted in March 2020 to identify specific barriers and facilitators to deprescribing opioids and BZDs. Audio recordings and transcripts were analyzed using inductive coding. RESULTS: We evaluated 61 survey responses (69.3% response rate). Respondents were predominantly physicians (54.8%), but also included nurse practitioners (24.6%) and physician assistants (19.4%). Average overall confidence in deprescribing was comparable for opioids (64.5) and BZDs (65.9), but was lower for deprescribing under impeding circumstances (53.7). In the focus group, prescribers noted they met more resistance when deprescribing BZDs and that issues such as lack of time, availability of mental health resources, and patients seeing multiple prescribers were barriers to deprescribing. CONCLUSION: Findings from quantitative and qualitative analyses identified that prescribers were moderately confident in their ability to deprescribe both opioids and BZDs in older adults, but less confident under potentially impeding circumstances. Future studies are needed to evaluate policies and interventions to overcome barriers to deprescribing opioids and BZDs in primary care.

A deprescribing medication program to evaluate falls in older adults: methods for a randomized pragmatic clinical trial.

BACKGROUND: Opioids and benzodiazepines (BZDs) are some of the most commonly prescribed medications that contribute to falls in older adults. These medications are challenging to appropriately prescribe and monitor, with little guidance on safe prescribing of these medications for older patients. Only a handful of small studies have evaluated whether reducing opioid and BZD use through deprescribing has a positive impact on outcomes. Leveraging the strengths of a large health system, we evaluated the impact of a targeted consultant pharmacist intervention to deprescribe opioids and BZDs for older adults seen in primary care practices in North Carolina. METHODS: We developed a toolkit and process for deprescribing opioids and BZDs in older adults based on a literature review and guidance from an interprofessional team of pharmacists, geriatricians, and investigators. A total of fifteen primary care practices have been randomized to receive the targeted consultant pharmacist service (n = 8) or usual care (n = 7). The intervention consists of several components: (1) weekly automated reports to identify chronic users of opioids and BZDs, (2) clinical pharmacist medication review, and (3) recommendations for deprescribing and/or alternate therapies routed to prescribers through the electronic health record. We will collect data for all patients presenting one of the primary care clinics who meet the criteria for chronic use of opioids and/or BZDs, based on their prescription order history. We will use the year prior to evaluate baseline medication exposures using morphine milligram equivalents (MMEs) and diazepam milligram equivalents (DMEs). In the year following the intervention, we will evaluate changes in medication exposures and medication discontinuations between control and intervention clinics. Incident falls will be evaluated as a secondary outcome. To date, the study has enrolled 914 chronic opioid users and 1048 chronic BZD users. We anticipate that we will have 80% power to detect a 30% reduction in MMEs or DMEs. DISCUSSION: This clinic randomized pragmatic trial will contribute valuable evidence regarding the impact of pharmacist interventions to reduce falls in older adults through deprescribing of opioids and BZDs in primary care settings. TRIAL REGISTRATION: Clinicaltrials.gov NCT04272671 . Registered on February 17, 2020.

Association of Histamine-2 Blockers and Proton-Pump Inhibitors With Delirium Development in Critically Ill Adults: A Retrospective Cohort Study.

Histamine-2 receptor antagonists are commonly administered for stress ulcer prophylaxis in critically ill adults and may be associated with delirium development. We aimed to determine differential associations of histamine-2 receptor antagonist or proton-pump inhibitor administration with delirium development in patients admitted to a medical ICU. DESIGN: Retrospective observational study using a deidentified database sourced from the University of North Carolina Health Care system. Participants were identified as having delirium utilizing an International Classification of Diseases-based algorithm. Associations among histamine-2 receptor antagonist, proton-pump inhibitor, or no medication administration and delirium were identified using relative risk. Multiple logistic regression was used to control for potential confounders including mechanical ventilation and age. SETTING: Academic tertiary care medical ICU in the United States. PATIENTS: Adults admitted to the University of North Carolina medical ICU from January 2015 to December 2019, excluding those on concurrent histamine-2 receptor antagonists and proton-pump inhibitors in the same encounter. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We identified 6,645 critically ill patients, of whom 29% (n = 1,899) received mechanical ventilation, 45% (n = 3,022) were 65 or older, and 22% (n = 1,487) died during their medical ICU encounter. Of the 6,645 patients, 31% (n = 2,057) received an histamine-2 receptor antagonist and no proton-pump inhibitors, 40% (n = 2,648) received a proton-pump inhibitor and no histamine-2 receptor antagonists, and 46% (n = 3,076) had delirium. The histamine-2 receptor antagonist group had a greater association with delirium than the proton-pump inhibitor group compared with controls receiving neither medication, after controlling for mechanical ventilation and age (risk ratio, 1.36; 1.25-1.47; p < 0.001) and (risk ratio, 1.15; 1.07-1.24; p < 0.001, respectively). CONCLUSIONS: Histamine-2 receptor antagonists are more strongly associated with increased delirium than proton-pump inhibitors. Prospective studies are necessary to further elucidate this association and to determine if replacement of histamine-2 receptor antagonists with proton-pump inhibitors in ICUs decreases the burden of delirium in critically ill patients.

Transitioning Focus Group Research to a Videoconferencing Environment: A Descriptive Analysis of Interactivity.

The COVID-19 pandemic disrupted face-to-face interactions in healthcare research, with many studies shifting to video-based data collection for qualitative research. This study describes the interactivity achieved in a videoconferencing focus group of seven primary care providers discussing deprescribing opioids and benzodiazepines. Researchers reviewed video footage of a focus group conducted via Zoom and assessed interactivity using Morgan's framework for focus group communication processes. Two reviewers categorized the type of exchanges as sharing information, comparing experiences, organizing, and conceptualizing the content, as well as validating each other or galvanizing the discussion with "lightning strike" ideas. The conversation dynamics in this focus group included clear examples of interactivity in each of the categories proposed by Morgan (validating, sharing, comparing, organizing, conceptualizing, and lightning strikes) that were observed by two different reviewers with demonstrated high interrater reliability. Conducting focus groups with a skilled moderator using videoconferencing platforms with primary care providers is a viable option that produces sufficient levels of interaction.

Educational Interventions to Improve Advance Care Planning Discussions, Documentation and Billing.

BACKGROUND/OBJECTIVES: To determine the impact of educational interventions, clinic workflow redesign, and quality improvement coaching on the frequency of advance care planning (ACP) activities for patients over the age of 65. DESIGN: Nonrandomized before-and-after study. SETTING: 13 ambulatory care clinics with 81 primary care providers in eastern and central North Carolina. PARTICIPANTS: Patients across 13 primary care clinics staffed by 66 physicians, 8 physician assistants and 7 family nurse practitioners. INTERVENTIONS: Interprofessional, interactive ACP training for the entire interprofessional team and quality improvement project management with an emphasis on workflow redesign. MEASUREMENTS: From July 2017 through June 2018-number of ACP discussions, number of written ACP documents incorporated into the electronic medical record (EMR), number of ACP encounters billed. RESULTS: Following the interventions, healthcare providers were more than twice as likely to conduct ACP discussions with their patients. Patients were 1.4 times more likely to have an ACP document included in their electronic medical record. Providers were significantly (p < 0.05) more likely to bill for an ACP encounter in only one clinic. CONCLUSIONS: Implementing ACP education for all clinic staff, planning for workflow changes to involve the entire interprofessional team and supporting ACP activities with quality improvement coaching leads to statistically significant improvements in the frequency of ACP discussions, the number of ACP documents included in the electronic medical record and number of ACP encounters billed.

Integrating targeted consultant pharmacists into a new collaborative care model to reduce the risk of falls in older adults owing to the overuse of opioids and benzodiazepines.

Using central nervous system (CNS)-active medications increases older adults' risk for falls and fall-related injuries. Opioids and benzodiazepines are among the most widely used CNS-active medications and because of their addictive potential and widespread use for common ailments such as chronic pain, anxiety, or sleep, are also among the most difficult to deprescribe. Reducing the dose burden of these 2 medication classes in older adults-to balance safety with efficacy-is a challenge that requires persistence and strategic support structures to be successful. We propose a novel care model that uses the support of targeted consultant pharmacist services to help primary care providers reduce the unnecessary use of opioids and benzodiazepines in their patients who are older adults. This care model holds promise to not only offer providers additional time-saving clinical support but to help their practices improve patient outcomes, such as a reduction in medication-related falls and excess opioid use.

Identification and characterization of older emergency department patients with high-risk alcohol use.

BACKGROUND: High-risk alcohol use in the elderly is a common but underrecognized problem. We tested a brief screening instrument to identify high-risk individuals. METHODS: This was a prospective, cross-sectional study conducted at a single emergency department. High-risk alcohol use was defined by National Institute on Alcohol Abuse and Alcoholism (NIAAA) guidelines as >7 drinks/week or >3 drinks/occasion. We assessed alcohol use in patients aged ≥ 65 years using the timeline follow back (TLFB) method as a reference standard and a new, 2-question screener based on NIAAA guidelines. The Alcohol Use Disorders Identification Test (AUDIT) and Cut down, Annoyed, Guilty, Eye-opener (CAGE) screens were used for comparison. We collected demographic information from a convenience sample of high- and low-risk drinkers. RESULTS: We screened 2250 older adults and 180 (8%) met criteria for high-risk use. Ninety-eight high-risk and 124 low-risk individuals were enrolled. The 2-question screener had sensitivity of 98% (95% CI, 93%-100%) and specificity of 87% (95% CI, 80%-92%) using TLFB as the reference. It had higher sensitivity than the AUDIT or CAGE tools. The high-risk group was predominantly male (65% vs 35%, P < 0.001). They drank a median of 14 drinks per week across all ages from 65 to 92. They had higher rates of prior substance use treatment (17% vs 2%, P < 0.001) and current tobacco use (24% vs 9%, P = 0.004). CONCLUSION: A rapid, 2-question screener can identify high-risk drinkers with higher sensitivity than AUDIT or CAGE screening. It could be used in concert with more specific questionnaires to guide treatment.

Using the Drug Burden Index to identify older adults at highest risk for medication-related falls.

BACKGROUND: The Drug Burden Index (DBI) was developed to assess patient exposure to medications associated with an increased risk of falling. The objective of this study was to examine the association between the DBI and medication-related fall risk. METHODS: The study used a retrospective cohort design, with a 1-year observation period. Participants (n = 1562) were identified from 31 community pharmacies. We examined the association between DBI scores and four outcomes. Our primary outcome, which was limited to participants who received a medication review, indexed whether the review resulted in at least one medication-related recommendation (e.g., discontinue medication) being communicated to the participant's health care provider. Secondary outcomes indexed whether participants in the full sample: (1) screened positive for fall risk, (2) reported 1+ falls in the past year, and (3) reported 1+ injurious falls in the past year. All outcome variables were dichotomous (yes/no). RESULTS: Among those who received a medication review (n = 387), the percentage of patients receiving at least one medication-related recommendation ranged from 10.2% among those with DBI scores of 0 compared to 60.2% among those with DBI scores ≥1.0 (Chi-square (4)=42.4, p < 0.0001). Among those screened for fall risk (n = 1058), DBI scores were higher among those who screened positive compared to those who did not (Means = 0.98 (SD = 1.00) versus 0.59 (SD = 0.74), respectively, p < 0.0001). CONCLUSION: Our findings suggest that the DBI is a useful tool that could be used to improve future research and practice by focusing limited resources on those individuals at greatest risk of medication-related falls.