Prevalence of Universal Medication Schedule prescribing and links to adherence.

PURPOSE: A Universal Medication Schedule (UMS) that uses explicit language to describe when to take medicine has been proposed as a patient-centered prescribing and dispensing standard. Despite widespread support, evidence of its actual use and efficacy is limited. We investigated the prevalence of UMS instructions and whether their use was associated with higher rates of medication adherence. METHODS: National pharmacy records were analyzed for a cohort of type 2 diabetic adults ≥18 years old (N = 676,739) new to ≥1 oral diabetes medications between January and June 2014. Prescription instructions (N = 796,909) dispensed with medications were classified as UMS or non-UMS. Instructions coded as UMS were further categorized as either providing precise UMS language (tier 1: "take 1 pill at morning, noon, evening, or bedtime") or offering some explicit guidance (tier 2: "take 1 tablet by mouth before breakfast"; tier 3: "take 1 tablet twice daily with a meal"). Adherence over 12 months was measured by proportion of days covered. RESULTS: One-third of instructions (32.4%, n = 258,508) were classified as UMS (tier 1: 12.6%, n = 100,589; tier 2: 6.0%, n = 47,914; tier 3: 13.8%, n = 110,005). In multivariable analyses, UMS instructions (all tiers) exhibited better adherence compared to non-UMS instructions (relative risk [RR], 1.01; 95% confidence interval [CI], 1.00-1.02; P = 0.01). Patients older than 65 years who were less educated and taking medication more than once daily received greater benefit from tier 1 UMS instructions (RR, 1.14; 95% CI, 1.07-1.21; P < 0.001). CONCLUSION: While infrequently used, the UMS could help older, less-educated patients adhere to more complex regimens with minimal investment.

A cross-sectional study of physical activity participation among adults with chronic conditions participating in a digital health program.

OBJECTIVE: Many American adults are insufficiently active. Digital health programs are designed to motivate this population to engage in regular physical activity and often rely on wearable devices and apps to objectively measure physical activity for a large number of participants. The purpose of this epidemiological study was to analyze the rates of physical activity among participants in a digital health program. METHOD: We conducted a cross-sectional study of participants enrolled in a digital health program between January 2014 and December 2016. All activity data were objectively collected through wearable devices. RESULTS: Participants (n = 241,013) were on average 39.7 years old and 65.7% were female. Participants walked on average 3.72 miles per day. Overall, 5.3% and 21.8% of participants were being treated with diabetes and cardiovascular medications respectively, but these rates varied across young, middle and older adults. Participants of all ages being treated with cardiovascular and/or diabetes medications walked significantly less than those not being treated for these conditions. CONCLUSION: The feasibility of using a large database containing data from consumer-grade activity trackers was demonstrated through this epidemiological study of physical activity rates across age and condition status of participants. The approach and findings described may inform future research as the information age brings about new opportunities to manage and study massive amounts of data generated by connected devices.

Effect of Medicare Part D on potentially inappropriate medication use by older adults.

OBJECTIVES: To empirically estimate changes of potentially inappropriate medication (PIM) use attributable to the Medicare Part D prescription drug benefit. DESIGN: Difference-in-difference strategy in the quasi-experimental design with a control group. SETTING: U.S. nationally representative community-dwelling sample of older adults. PARTICIPANTS: One thousand seven hundred seventy-four adults aged 65 and older in the 2005 and 2006 Medical Expenditure Panel Surveys were followed up for 2 years with five rounds of interviews. MEASUREMENTS: PIM use was identified based on the 2002 Beers criteria. Analyses were conducted for likelihood of PIM use and number of PIM prescriptions using logit models and negative binomial models, respectively. RESULTS: There was a trend of less likelihood of PIM use for all older adults from 2005 to 2006 (odds ratio=0.67, 95% confidence interval (CI)=0.52-0.86). After accounting for this secular trend and potential confounders, no significant difference of the likelihood of PIM use was found between Part D enrollees and nonenrollees, although enrollees were found to use significantly more PIM prescriptions in round 5 (in 2006) than nonenrollees (incidence rate ratio=1.56, 95% CI=1.08-2.25). CONCLUSION: This initial evidence suggests that Medicare Part D could result in more PIM use in older enrollees than in nonenrollees, although the overall likelihood of PIM use has decreased in all older community-dwelling adults. Future research is needed to examine the effect over the longer term and focusing on particular categories of PIMs.

Potentially inappropriate medication use and healthcare expenditures in the US community-dwelling elderly.

BACKGROUND: Potentially inappropriate medication (PIM) use is a major source of drug-related problems in the elderly. Few studies have quantified the effect of PIM use on total healthcare expenditures in the United States. OBJECTIVES: : We sought to determine the relationship between PIM use and healthcare expenditure and to estimate the annual incremental healthcare expenditures related to PIM use in the community-dwelling elderly population in the United States in 2001. METHODS: This was a retrospective cohort study. Participants were age 65 years or older who had no PIM use in rounds 1 and 2 of the 2000-2001 Medical Expenditure Panel Survey, a nationally representative survey of the US noninstitutionalized population. On the basis of the 2002 Beers criteria, PIM users were identified as those who had been prescribed at least one PIM during specified time periods in the study. Propensity scores were used to match PIM users and nonusers in the analysis examining differences in total healthcare expenditures. RESULTS: PIM utilization is a significant predictor for higher healthcare expenditures (P < 0.05). A conservative estimate of the incremental healthcare expenditures related to PIM use in the community-dwelling elderly population would be $7.2 billion (95% confidence interval, $3.4 billion-$15.7 billion) in the United States in 2001. CONCLUSIONS: PIM use is a major patient safety concern that results in increased healthcare expenditures. This study emphasizes the need for continued provider education to inform prescribers of the potential risks of using certain medications in the elderly and to improve prescribing practices.

Potentially inappropriate drug use and health-related quality of life in the elderly.

STUDY OBJECTIVE: To investigate the relationship between two widely used, generic health-related quality of life (HRQOL) measures, Short Form-12 (SF-12) and EuroQol's EQ-5D, and potentially inappropriate drug use in an elderly cohort. DESIGN: Longitudinal retrospective cohort study. DATA SOURCE: Medical Expenditure Panel Survey, panel 5. PARTICIPANTS: Respondents aged 65 years or older. MEASUREMENTS AND MAIN RESULTS: Participants with potentially inappropriate drug use were identified by using National Drug Codes based on the Beers updated criteria. The dependent variable, HRQOL, was measured by using self-reported scores on the SF-12 (physical component summary, mental component summary, and global rating of health) and the EQ-5D (index and visual analog scale). The HRQOL data were regressed onto scores for potentially inappropriate drug, age, sex, number of prescriptions, race, comorbidity, and previous HRQOL. Regression analysis revealed statistically significant models for all five HRQOL equations (adjusted R2=26.50-53.83%, p<0.0001). However, potentially inappropriate drug use was not a significant predictor of HRQOL in any of the models tested. Previous HRQOL, as measured by using the SF-12 (global, physical component summary, and mental component summary) and the EQ-5D (index and visual analog scale), was a significant predictor of HRQOL; number of prescriptions was also a significant predictor of HRQOL, as measured by using the SF-12 (global and physical component summary) and the EQ-5D (index and visual analog scale). CONCLUSION: The results supported others showing that a significant proportion of the elderly receive care that is potentially harmful and not supported by evidence-based practice. Use of a disease-specific HRQOL scale may be more responsive to measuring the impact of potentially inappropriate drugs on patients' HRQOL.