Using Deprescribing Practices and the Screening Tool of Older Persons' Potentially Inappropriate Prescriptions Criteria to Reduce Harm and Preventable Adverse Drug Events in Older Adults.

OBJECTIVES: Approximately 98% of older Americans are simultaneously taking 5-or more-medications to manage at least 2 chronic conditions. Polypharmacy and the use of potentially inappropriate medications (PIMs) are a concern for older adults because they pose a risk for adverse drug events (ADEs), which are associated with emergency department visits and hospitalizations and are an important patient safety priority. We sought to review the evidence of patient safety practices aimed at reducing preventable ADEs in older adults, specifically (i) deprescribing interventions to reduce polypharmacy and (ii) use of the Screening Tool of Older Persons' Potentially Inappropriate Prescriptions (STOPP) to reduce PIMs. METHODS: We conducted a systematic review of literature published between 2008 and 2018 that studied examined the effect of these interventions to reduce preventable ADEs in older adults. RESULTS: Twenty-six studies and 1 systematic review were included (14 for deprescribing and 12 for STOPP and the systematic review). The deprescribing interventions involved decision support tools, educational interventions, and medication reviews by pharmacists and/or providers. Deprescribing studies primarily examined the effect of interventions on process outcomes and observed reductions in polypharmacy, often significantly. A few studies also examined clinical and economic outcomes. Studies of the use of the STOPP screening criteria most commonly reported changes in PIMs, as well as some economic outcomes. CONCLUSIONS: Deprescribing interventions and interventions using the STOPP criteria seem effective in reducing polypharmacy and PIMs in older adults, respectively. Future research on the effectiveness of these approaches on clinical outcomes, the comparative effectiveness of different multicomponent interventions using these approaches, and how to most effectively implement them to improve uptake and evidence-based care is needed.

Evaluating the Impact of Improving Access on Consumption of Fruits and Vegetables in a Rural Community in Texas: A Modeling Study.

Purpose: Most residents in rural regions of the United States consume fewer amounts of fruits and vegetables (FVs) compared with their urban counterparts. Difficulties in access to FVs often contribute to different consumption patterns in rural regions, aside from a lack of education or motivation for eating healthy foods. This article uses simulation methods to estimate the relationship between increasing food access and FV consumption levels in a targeted rural community. Methods: An agent-based model previously developed to predict individual dietary behaviors was used. We adapted it to a rural community in west Texas following a two-step process. First, we validated the model with observed data. Second, we simulated the impact of increasing access on FV consumption. We estimated model parameters from the 2010 census and other sources. Results: We found that decreasing the driving distance to FV outlets would increase FV consumption in the community. For example, a one-mile decrease in driving distance to the nearest FV store could lead to an 8.9% increase in FV consumption; a five-mile decrease in driving distance could lead to a 25% increase in FV consumption in the community. We found that the highest marginal increase in FV consumption was when the driving distance decreased from 3.5 miles to 3 miles. Conclusions: Analysis to inform policy alternatives is a challenge in rural settings due to lack of data. This study highlights the potential of simulation modeling to inform and analyze policy alternatives in settings with scarce data. The findings from modeling can be used to evaluate alternative policies in addressing chronic diseases through dietary interventions in rural regions.