Motor Vehicle Crash Case Definitions and How They Impact Injury Surveillance.

BACKGROUND Motor vehicle crashes are a leading cause of injury in North Carolina. Motor vehicle crash injury surveillance that relies on hospital diagnostic codes alone may underestimate injury. Our objective was to describe how motor vehicle crash injury case definitions can impact results when using hospital data.METHODS We received motor vehicle crash-related emergency department visits from 1 large metropolitan county in North Carolina for the year 2013. Emergency department visits were categorized based on 3 mutually exclusive case definitions: motor vehicle crash injuries identified using external cause-of-injury codes, text searches for motor vehicle crash-related key words in triage notes or chief complaint fields, and motor vehicle crash injuries identified using both text searches and external cause-of-injury codes. Descriptive statistics were used to examine differences in patient characteristics according to case definition.RESULTS Most emergency department visits contained both motor vehicle crash text and motor vehicle crash external cause-of-injury codes (N = 13,422, 76%). Patients identified using external cause-of-injury codes only were more likely to be male, arrive by ambulance, and be admitted to the hospital compared to patients identified by text searches or both text and external cause-of-injury codes. Twenty-eight percent of the patients (N = 5,021) received non-injury related diagnoses in the emergency department. Among these patients, the most frequently used first diagnoses were for vague or chronic pain conditions.LIMITATIONS We relied on secondary data and were unable to perform medical chart reviews; hospital data have limited information surrounding the crash event.CONCLUSION The choice of case definition used for motor vehicle crash surveillance impacts the picture of motor vehicle crash injury severity. It is important for researchers to be aware of the impact case definition has on their results.

Feasibility of Assessing Falls Risk and Promoting Falls Prevention in Beauty Salons.

Falls are a major public health risk and a leading cause of emergency room visits for people of all ages. Finding ways to increase access to information and evidence-based falls prevention strategies is critically important across the lifespan. We tested the feasibility of conducting a falls risk assessment and awareness program among customers who attend beauty salons. We enrolled 78 customers from 2 beauty salons who completed a written questionnaire as well as several biometric and functional balance tests designed to assess falls risk. On average, enrolled participants were 56 years of age (range: 19-90), female (n = 70, 91%), and Black (n = 47, 62%). Eleven percent of enrolled customers were classified as at high risk of falls because they had reported two or more falls in the last 6 months. We found that younger age, higher education, employment, moderate physical activity, and decreased frequency of salon visits were associated with fewer falls. Results demonstrated initial interest in, and the feasibility of recruiting and enrolling customers into a beauty salon-based falls risk assessment and awareness program. Beauty salons, which are in all communities, represent an innovative setting for reaching people of all ages with life-saving falls prevention information and services.

Initiation of antihypertensive monotherapy and incident fractures among Medicare beneficiaries.

BACKGROUND: Research suggests antihypertensive medications are associated with fractures in older adults, however results are inconsistent and few have examined how the association varies over time. We sought to examine the association between antihypertensive class and incident non-vertebral fractures among older adults initiating monotherapy according to time since initiation. METHODS: We used a new-user cohort design to identify Medicare beneficiaries (≥ 65 years of age) initiating antihypertensive monotherapy during 2008-2011 using a 20% random sample of Fee-For-Service Medicare beneficiaries enrolled in parts A (inpatient services), B (outpatient services), and D (prescription medication) coverage. Starting the day after the initial antihypertensive prescription, we followed beneficiaries for incident non-vertebral fractures. We used multinomial logistic regression models to estimate propensity scores for initiating each antihypertensive drug class. Using these propensity scores, we weighted beneficiaries to achieve the same baseline covariate distribution as beneficiaries initiating with angiotensin-converting enzyme inhibitors. Lastly, we used weighted Cox proportional hazard models to estimate hazard ratios (HRs) of having an incident fractures according to antihypertensive class and time since initiation. RESULTS: During 2008-2011, 122,629 Medicare beneficiaries initiated antihypertensive monotherapy (mean age 75, 61% women, 86% White). Fracture rates varied according to days since initiation and antihypertensive class. Beneficiaries initiating with thiazides had the highest fracture rate in the first 14 days following initiation (438 per 10,000 person-years, 95% confidence interval (CI): 294-628; HR: 1.40, 0.78-2.52). However, beneficiaries initiating with calcium channel blockers had the highest fracture rate during the 15-365 days after initiation (435 per 10,000 person-years, 95% CI: 404-468; HR: 1.11, 1.00-1.24). Beneficiaries initiating with angiotensin-receptor blockers had the lowest fracture rates during the initial 14 days (333 per 10,000 person-years, 190-546, HR: 0.92, 0.49-1.75) and during 15-365 days after initiation (321 per 10,000 person-years, 287-358, HR: 0.96, 0.84-1.09). CONCLUSION: The association between antihypertensives and fractures varied according to class and time since initiation. Results suggest that when deciding upon antihypertensive therapy, clinicians may want to consider possible fracture risks when choosing between antihypertensive drug classes.

Antihypertensive Adherence Trajectories Among Older Adults in the First Year After Initiation of Therapy.

BACKGROUND: Adherence to antihypertensives is suboptimal, but previous methods of quantifying adherence fail to account for varying patterns of use over time. We sought to improve classification of antihypertensive adherence using group-based trajectory models, and to determine whether individual factors predict adherence trajectories. METHODS: We identified older adults initiating antihypertensive therapy during 2008-2011 using a 20% sample of Medicare (federal health insurance available to US residents over the age of 65) beneficiaries enrolled in parts A (inpatient services), B (outpatient services), and D (prescription medication). We developed monthly adherence indicators using prescription fill dates and days supply data in the 12 months following initiation. Adherence was defined as having at least 80% of days covered. Logistic models were used to identify trajectory groups. Bayesian information criterion and trajectory group size were used to select the optimal trajectory model. We compared the distribution of covariates across trajectory groups using multivariable logistic regression. RESULTS: During 2008-2011, 282,520 Medicare beneficiaries initiated antihypertensive therapy (mean age 75 years, 60% women, 84% White). Six trajectories were identified ranging from perfect adherence (12-month adherence of 0.97, 40% of beneficiaries) to immediate stopping (12-month adherence of 0.10, 18% of beneficiaries). The strongest predictors of nonadherence were initiation with a single antihypertensive class (adjusted odds ratio = 2.08 (95% confidence interval: 2.00-2.13)), Hispanic (2.93 (2.75-3.11)) or Black race/ethnicity (2.04 (1.95-2.13)), and no prior history of hypertension (2.04 (2.00-2.08)) (Area under the receiving operating characteristic curve: 0.53). CONCLUSIONS: There is substantial variation in antihypertensive adherence among older adults. Certain patient characteristics are likely determinants of antihypertensive adherence trajectories.