Providing Epidemiological Data in Lumbar Spine Imaging Reports Did Not Affect Subsequent Utilization of Spine Procedures: Secondary Outcomes from a Stepped-Wedge Randomized Controlled Trial.

OBJECTIVE: To evaluate the effect of inserting epidemiological information into lumbar spine imaging reports on subsequent nonsurgical and surgical procedures involving the thoracolumbosacral spine and sacroiliac joints. DESIGN: Analysis of secondary outcomes from the Lumbar Imaging with Reporting of Epidemiology (LIRE) pragmatic stepped-wedge randomized trial. SETTING: Primary care clinics within four integrated health care systems in the United States. SUBJECTS: 238,886 patients ≥18 years of age who received lumbar diagnostic imaging between 2013 and 2016. METHODS: Clinics were randomized to receive text containing age- and modality-specific epidemiological benchmarks indicating the prevalence of common spine imaging findings in people without low back pain, inserted into lumbar spine imaging reports (the "LIRE intervention"). The study outcomes were receiving 1) any nonsurgical lumbosacral or sacroiliac spine procedure (lumbosacral epidural steroid injection, facet joint injection, or facet joint radiofrequency ablation; or sacroiliac joint injection) or 2) any surgical procedure involving the lumbar, sacral, or thoracic spine (decompression surgery or spinal fusion or other spine surgery). RESULTS: The LIRE intervention was not significantly associated with subsequent utilization of nonsurgical lumbosacral or sacroiliac spine procedures (odds ratio [OR] = 1.01, 95% confidence interval [CI] 0.93-1.09; P = 0.79) or any surgical procedure (OR = 0.99, 95 CI 0.91-1.07; P = 0.74) involving the lumbar, sacral, or thoracic spine. The intervention was also not significantly associated with any individual spine procedure. CONCLUSIONS: Inserting epidemiological text into spine imaging reports had no effect on nonsurgical or surgical procedure utilization among patients receiving lumbar diagnostic imaging.

Beliefs about benefits and harms of medications and supplements for brain health.

The role of medications and supplements for brain health is a fast-changing and growing field, making it difficult for patients to receive updated and accurate information. The objective of this study was to assess patients' beliefs about the helpfulness or harmfulness of various medications and supplements on brain health. A convenience sample of adults from an integrated healthcare system completed a web-based survey. Descriptive statistics were used for this hypothesis-generating study. A total of 1661 respondents completed the survey. The majority of respondents were female (77%), between the ages of 51-70 (64%), and white (89%). Across the selected medications and supplements purported to improve a person's brain health (vitamin E, ginkgo biloba, hormones such as estrogen or testosterone, fish oil, and statins), 46-64% of respondents reported not knowing or skipped the item regarding their helpfulness to improve brain health. One out of four respondents reported benefits of vitamin E and nearly half reported benefits of fish oil on brain health; neither benefit is supported by current evidence. For the two medication classes evaluated for increasing dementia risk (proton pump inhibitors and anticholinergics used as sleep aids), 63-77% of respondents reported not knowing or skipped the item regarding their harmfulness to brain health. Survey respondents largely reported not knowing the potential benefits and harms of different medications and supplements for brain health. Improved health communication on pharmaceutical effects on dementia risk is greatly needed, and its development and dissemination should involve healthcare providers, patients, and media outlets.

Development and Validation of eRADAR: A Tool Using EHR Data to Detect Unrecognized Dementia.

OBJECTIVES: Early recognition of dementia would allow patients and their families to receive care earlier in the disease process, potentially improving care management and patient outcomes, yet nearly half of patients with dementia are undiagnosed. Our aim was to develop and validate an electronic health record (EHR)-based tool to help detect patients with unrecognized dementia (EHR Risk of Alzheimer's and Dementia Assessment Rule [eRADAR]). DESIGN: Retrospective cohort study. SETTING: Kaiser Permanente Washington (KPWA), an integrated healthcare delivery system. PARTICIPANTS: A total of 16 665 visits among 4330 participants in the Adult Changes in Thought (ACT) study, who undergo a comprehensive process to detect and diagnose dementia every 2 years and have linked KPWA EHR data, divided into development (70%) and validation (30%) samples. MEASUREMENTS: EHR predictors included demographics, medical diagnoses, vital signs, healthcare utilization, and medications within the previous 2 years. Unrecognized dementia was defined as detection in ACT before documentation in the KPWA EHR (ie, lack of dementia or memory loss diagnosis codes or dementia medication fills). RESULTS: Overall, 1015 ACT visits resulted in a diagnosis of incident dementia, of which 498 (49%) were unrecognized in the KPWA EHR. The final 31-predictor model included markers of dementia-related symptoms (eg, psychosis diagnoses, antidepressant fills), healthcare utilization pattern (eg, emergency department visits), and dementia risk factors (eg, cerebrovascular disease, diabetes). Discrimination was good in the development (C statistic = .78; 95% confidence interval [CI] = .76-.81) and validation (C statistic = .81; 95% CI = .78-.84) samples, and calibration was good based on plots of predicted vs observed risk. If patients with scores in the top 5% were flagged for additional evaluation, we estimate that 1 in 6 would have dementia. CONCLUSION: The eRADAR tool uses existing EHR data to detect patients with good accuracy who may have unrecognized dementia. J Am Geriatr Soc 68:103-111, 2019.

Cardiac Rehabilitation to Optimize Medication Regimens in Heart Failure.

Cardiac rehabilitation (CR) is an inherently patient-centered program that provides holistic care to adults with cardiovascular conditions to promote lifelong health and fitness, facilitate self-care and self-efficacy, and improve clinical outcomes. CR offers an excellent platform for patient-centered optimization of medication regimens for older adults with heart failure through its potential to address several aspects of care that have historically served as major challenges to clinicians-diuretic management, the use of guideline-directed medical therapy, review and reconciliation of noncardiovascular medications, and optimization of medication adherence. In this review, these challenges are described and strategies offered for leveraging CR toward addressing them.

Patterns of antihypertensive and statin adherence prior to dementia: findings from the adult changes in thought study.

BACKGROUND: Detecting patients with undiagnosed dementia is an important clinical challenge. Changes in medication adherence might represent an early sign of cognitive impairment. We sought to examine antihypertensive and statin adherence trajectories in community-dwelling older adults, comparing people who went on to develop dementia to those who did not. METHODS: We analyzed data from Adult Changes in Thought (ACT), a population-based cohort study embedded within an integrated healthcare delivery system. Analyses included 4368 participants aged ≥65 years who had at least one follow-up visit. Research-quality dementia diagnoses were used to identify cases. We selected non-dementia control visits matched on age, sex, and study cohort that occurred at similar ACT follow-up time as the case's dementia onset; we treated this as the index date. Participants were included if they were prevalent users of either a statin or antihypertensive medication on the first day of follow up - 3 years prior to the index date. Using prescription fill dates and days supply, we calculated daily binary medication availability measures for each participant ('days covered') over 3 years leading up to the index date. We used group-based trajectory models to identify patterns of antihypertensive and statin adherence, and used conditional logistic regression to examine associations between adherence trajectories and dementia. RESULTS: Four trajectories were identified for antihypertensive users (292 cases, 3890 control visits), including near perfect (n = 1877, 36.6% cases, 45.5% controls), high (n = 1840, 43.2% cases, 44.1% controls), moderate (n = 365, 18.5% cases, 8.0% controls) and early poor adherence (n = 100, 1.7% cases, 2.4% controls). Odds of dementia was 3 times greater for those with moderate antihypertensive adherence compared to those with near perfect adherence (adjusted OR 3.0, 95% CI 2.0, 4.3). Four trajectories were identified for statin users (148 cases, 1131 control visits), including high (n = 1004, 75.0% cases, 79.0% controls), moderate (n = 192, 19.6% cases, 14.4% controls), early poor (n = 43, 2.0% cases, 3.5% controls), and delayed poor adherence (n = 40, 3.4% cases, 3.1% controls). No association was detected between statin adherence trajectories and dementia. CONCLUSIONS: Patterns of medication adherence may be useful to identify a subset of people at higher likelihood of developing dementia.

Brain Health and Dementia Prevention: A Mixed-method Analysis.

Objective: In this study, we assessed patient knowledge, beliefs, and attitudes about brain health and strategies for Alzheimer's disease and related dementias (ADRD) prevention. Methods: We administered a Web-based survey consisting of 17 questions about brain health and strategies for ADRD prevention in a convenience sample of 1661 patients in an integrated healthcare delivery system in Washington state between February and March 2018. We calculated frequency distributions of the quantitative data and conducted inductive content analysis of qualitative data. Results: Most respondents were female (77%), 51-70 years of age (64%), and white (89%). Although most agreed it is possible to improve brain health and reduce personal ADRD risk, one- third lacked confidence that they could take action to reduce personal ADRD risk. Participants' responses to open-ended questions revealed 10 themes grouped into 3 organizing categories regarding their perceptions about how to prevent ADRD onset: (1) understand ADRD; (2) stay engaged; and (3) manage one's own health and healthcare. Conclusions: Survey respondents were engaged and aware of dementia prevention, but they lacked access to personally action- able evidence..

Year in review: medication mishaps in the elderly.

OBJECTIVE: This paper reviews articles from 2010 that examined medication mishaps (ie, medication errors and adverse drug events [ADEs]) in the elderly. METHODS: The MEDLINE and EMBASE databases were searched for English-language articles published in 2010 using a combination of search terms including medication errors, medication adherence, medication compliance, suboptimal prescribing, monitoring, adverse drug events, adverse drug withdrawal events, therapeutic failures, and aged. A manual search of the reference lists of the identified articles and the authors' article files, book chapters, and recent reviews was conducted to identify additional publications. Five studies of note were selected for annotation and critique. From the literature search, this paper also generated a selected bibliography of manuscripts published in 2010 (excluding those previously published in the American Journal of Geriatric Pharmacotherapy or by one of the authors) that address various types of medication errors and ADEs in the elderly. RESULTS: Three studies focused on types of medication errors. One study examined underuse (due to prescribing) as a type of medication error. This before-and-after study from the Netherlands reported that those who received comprehensive geriatric assessments had a reduction in the rate of undertreatment of chronic conditions by over one third (from 32.9% to 22.3%, P < 0.05). A second study focused on reducing medication errors due to the prescribing of potentially inappropriate medications. This quasi-experimental study found that a computerized provider order entry clinical decision support system decreased the number of potentially inappropriate medications ordered for patients ≥ 65 years of age who were hospitalized (11.56 before to 9.94 orders per day after, P < 0.001). The third medication error study was a cross-sectional phone survey of managed-care elders, which found that more blacks than whites had low antihypertensive medication adherence as per a self-reported measure (18.4% vs 12.3%, respectively; P < 0.001). Moreover, blacks used more complementary and alternative medicine (CAM) than whites for the treatment of hypertension (30.5% vs 24.7%, respectively; P = 0.005). In multivariable analyses stratified by race, blacks who used CAM were more likely than those who did not to have low antihypertensive medication adherence (prevalence rate ratio = 1.56; 95% CI, 1.14-2.15; P = 0.006). The remaining two studies addressed some form of medication-related adverse patient events. A case-control study of Medicare Advantage patients revealed for the first time that the use of skeletal muscle relaxants was associated significantly with an increased fracture risk (adjusted odds ratio = 1.40; 95% CI, 1.15-1.72; P < 0.001). This increased risk was even more pronounced with the concomitant use of benzodiazepines. Finally, a randomized controlled trial across 16 centers in France used a 1-week educational intervention about high-risk medications and ADEs directed at rehabilitation health care teams. Results indicated that the rate of ADEs in the intervention group was lower than that in the usual care group (22% vs 36%, respectively, P = 0.004). CONCLUSION: Information from these studies may advance health professionals' understanding of medication errors and ADEs and may help guide research and clinical practices in years to come.