Alex Bohl

A Longitudinal Analysis of Total 3-Year Healthcare Costs for Older Adults Who Experience a Fall Requiring Medical Care

OBJECTIVES: To compare longitudinal changes in healthcare costs between fallers admitted to the hospital at the time of the fall (admitted), those not admitted to the hospital (nonadmitted), and nonfaller controls; test hypotheses related to differences in mean costs between and within these groups over time; and estimate the costs attributable to falling.

Understanding Older Adults’ Motivators and Barriers to Participating in Organized Programs Supporting Exercise Behaviors

Little is known about older adults’ perceptions of organized programs that support exercise behavior. We conducted semi-structured interviews with 39 older adults residing in King County, Washington, who either declined to join, joined and participated, or joined and then quit a physical activity-oriented program. We sought to explore motivators and barriers to physical activity program participation and to elicit suggestions for marketing strategies to optimize participation. Two programs supporting exercise behavior and targeting older persons were the source of study participants: Enhance®Fitness and Physical Activity for a Lifetime of Success. We analyzed interview data using standard qualitative methods. We examined variations in themes by category of program participant (joiner, decliner, quitter) as well as by program and by race. Interview participants were mostly females in their early 70s. Approximately half were non-White, and about half had graduated from college. The most frequently cited personal factors motivating program participation were enjoying being with others while exercising and desiring a routine that promoted accountability. The most frequent environmental motivators were marketing materials, encouragement from a trusted person, lack of program fees, and the location of the program. The most common barriers to participation were already getting enough exercise, not being motivated or ready, and having poor health. Marketing messages focused on both personal benefits (feeling better, social opportunity, enjoyability) and desirable program features (tailored to individual needs), and marketing mechanisms ranged from traditional written materials to highly personalized approaches. These results suggest that organized programs tend to appeal to those who are more socially inclined and seek accountability. Certain program features also influence participation. Thoughtful marketing that involves a variety of messages and mechanisms is essential to successful program recruitment and continued attendance.

Older Adults' Perceptions of Clinical Fall Prevention Programs: A Qualitative Study

Objective. To investigate motivational factors and barriers to participating in fall risk assessment and management programs among diverse, low-income, community-dwelling older adults who had experienced a fall. Methods. Face-to-face interviews with 20 elderly who had accepted and 19 who had not accepted an invitation to an assessment by one of two fall prevention programs. Interviews covered healthy aging, core values, attributions/consequences of the fall, and barriers/benefits of fall prevention strategies and programs. Results. Joiners and nonjoiners of fall prevention programs were similar in their experience of loss associated with aging, core values they expressed, and emotional response to falling. One difference was that those who participated endorsed that they “needed” the program, while those who did not participate expressed a lack of need. Conclusions. Interventions targeted at a high-risk group need to address individual beliefs as well as structural and social factors (transportation issues, social networks) to enhance participation.

The Impact of Stressful Life Events on Excessive Alcohol Consumption in the French Population: Findings from the GAZEL Cohort Study

Background Major life changes may play a causative role in health through lifestyle factors, such as alcohol. The objective was to examine the impact of stressful life events on heavy alcohol consumption among French adults. Methods Trajectories of excessive alcohol consumption in 20,625 employees of the French national gas and electricity company for up to 5 years before and 5 years after an event, with annual measurements from 1992. We used repeated measures analysis of time series data indexed to events, employing generalized estimating equations. Results For women, excessive alcohol use increased before important purchase (p = 0.021), children leaving home (p<0.001), and death of loved ones (p = 0.03), and decreased before widowhood (p = 0.015); in the year straddling the event, increased consumption was observed for important purchase (p = 0.018) and retirement (p = 0.002); at the time of the event, consumption decreased for marriage (p = 0.002), divorce, widowhood, and death of loved one (all p<0.001), and increased for retirement (p = 0.035). For men, heavy alcohol consumption increased in the years up to and surrounding the death of loved ones, retirement, and important purchase (all p<0.001), and decreased after (all p<0.001, except death of loved one: p = 0.006); at the time of the event, consumption decreased for all events except for children leaving home and retirement, where we observed an increase (all p<0.001). For women and men, heavy alcohol consumption decreased prior to marriage and divorce and increased after (all p<0.001, except for women and marriage: p = 0.01). Conclusion Stressful life events promote healthy and unhealthy alcohol consumption. Certain events impact alcohol intake temporarily while others have longer-term implications. Research should disentangle womens and mens distinct perceptions of events over time.

The HCBS taxonomy: a new language for classifying home- and community-based services.

INTRODUCTION As states make home- and community-based services (HCBS) more accessible, researchers have become more interested in understanding service use and spending. Because state Medicaid programs differ in the types of services they offer and in how they report these services, analyzing HCBS at the national level is challenging. OBJECTIVE Describe the HCBS taxonomy and present findings on HCBS waiver expenditures and users. DATA This brief analyzed fee-for-service claims from 28 approved states in 2010 Medicaid Analytic eXtract (MAX) files. We summed all expenditures and counted the unique number of users across each HCBS taxonomy service and category. METHODS The taxonomy was developed jointly by Truven Health (at that time Thomson Reuters) and Mathematica Policy Research, with stakeholder input, and reviewed using procedure codes. Today, the taxonomy is organized by 18 categories and over 60 specific services. FINDINGS For calendar year 2010, 28 states spent almost

Are generalized additive models for location, scale, and shape an improvement on existing models for estimating skewed and heteroskedastic cost data?

23.6 billion on HCBS, with 80 percent of expenditures categorized as round-the-clock, home-based, and day services. Other services, such as case management, or equipment, modifications, and technology were widely used, but are not particularly costly and do not account for a large proportion of expenditures in every state. CONCLUSIONS By providing a common language, the taxonomy presents detailed information on services and makes it easier to assess and identify state-level variation for HCBS.

How Are the Costs of Care for Medical Falls Distributed? The Costs of Medical Falls by Component of Cost, Timing, and Injury Severity

Generalized additive models for location, scale, and shape (GAMLSS) are a class of semi-parametric models with potential applicability to health care cost data. We compared the bias, accuracy, and coverage of GAMLSS estimators with two distributions [gamma and generalized inverse gaussian (GIG)] using a log link to the generalized linear model (GLM) with log link and gamma family and the log-transformed OLS. The evaluation using simulated gamma data showed that the GAMLSS and GLM gamma model had similar bias, accuracy, and coverage and outperformed the GAMLSS GIG. When applied to simulated GIG data, the GLM gamma was similar or improved in bias, accuracy, and coverage compared to the GAMLSS GIG and gamma; furthermore, the GAMLSS estimators produced wildly inaccurate or overly-precise results in certain circumstances. Applying all models to empirical data on health care costs after a fall-related injury, all estimators produced similar coefficient estimates, but GAMLSS estimators produced spuriously smaller standard errors. Although no single alternative was best for all simulations, the GLM gamma was the most consistent, so we recommend against using GAMLSS estimators using GIG or gamma to test for differences in mean health care costs. Since GAMLSS offers many other flexible distributions, future work should evaluate whether GAMLSS is useful when predicting health care costs.