ACLM: Publications Address Gaps in Type 2 Diabetes Treatment
With grant support from Ardmore Institute of Health, the American College of Lifestyle Medicine produced key publications to address identified gaps in practice models and the treatment of type 2 diabetes patients.
Abstract: Background: There is growing recognition that certain medical conditions, such as type 2 diabetes (T2D), can be effectively addressed through comprehensive lifestyle changes, thereby reducing reliance on medications; however, little guidance exists on deprescribing following lifestyle change. This study aimed to develop a framework that can be used to better define and standardize across research studies which medication changes in T2D care can be classified as deprescribing. Methods: An iterative development process began with a review of medication data exported from electronic health records (EHR) for n = 650 patients with T2D, 18–89 years, from two primary care practices with LM board-certified physicians. Included patients were seen during the period of 15 May 2014 to 13 March 2023. All reported T2D medications were grouped into the following categories: insulin, non-insulin, or metformin. A consensus-based review process was employed, facilitated by weekly meetings with the research team, whereby patients were classified as “potentially deprescribed,” “not deprescribed,” or “unclear” (not enough information based on limited, exported EHR data). Patients identified as potentially deprescribed or “unclear” were then further assessed through a more detailed review of their EHR. Results: Using the results of this chart review, a framework was developed to identify types of deprescribing, as follows: (1) insulin dose reduced; (2) change from insulin to other non-insulin medication; (3) insulin discontinued; (4) non-insulin T2D medication stopped; (5) dose reduced of the same non-insulin T2D medication; (6) change from any non-insulin medication to metformin or multiple medications + metformin to metformin only; (7) metformin stopped; (8) metformin dose reduced. A total of n = 193 patients were identified as having been potentially deprescribed based on the exported EHR data, and after a more detailed review of individual EHR records, 41 were confirmed as deprescribed. Conclusions: This study is the first to present a novel framework for classifying deprescribing in the context of positive health outcomes. The framework will facilitate future research evaluating the impact of lifestyle changes on diabetes management and promote comparability across settings for medication outcomes. Future research is needed to apply this framework to quantify deprescribing across various settings with greater precision.
Abstract: Background: Among individuals with type 2 diabetes (T2D), lifestyle improvements can restore glycemic control, yet few studies have examined deprescribing in settings where it was necessitated by improvements in health. This study aimed to (1) identify instances of medication deprescribing among adults with T2D in a primary care setting where patients had access to lifestyle medicine (LM), (2) document lifestyle changes among deprescribed patients, (3) assess changes in body mass index (BMI), glucose, and hemoglobin A1c (HbA1c) following deprescribing, and (4) assess the safety of deprescribing in the context of LM-informed care by identifying adverse events. Methods: A retrospective review of electronic health records (EHR) was conducted among 650 adults with a diagnosis of T2D per ICD-10 code at two primary care practices. To be included in the study, individuals had to be seen at least two times during the study period, from 2014 to 2023. Using a previously developed deprescribing framework, records were reviewed to identify deprescribing events. Among patients who were identified as deprescribed, BMI, glucose, and HbA1c, were extracted from the EHR, and age-, sex-, and time-adjusted differences in least squares means were calculated. Mentions of lifestyle change in provider notes in the EHR were also extracted pre- vs. post-deprescribing. Results: Forty-one deprescribing events were confirmed, totaling 6.3% of the study population. The most common medication changes included metformin dose reduction 34%, metformin discontinuation 19.5%, and insulin dose reduction 19.5%. Among patients with follow-up data, mean BMI decreased by 2.25 kg/m2, p = 0.0003. Mean decreases of 25% in glucose and 13% in HbA1c were also observed, p < 0.0003 and p < 0.0013, respectively. Lifestyle modifications were specifically cited in 51% of records among deprescribed patients, most frequently related to diet and exercise. No serious adverse events were identified in patients who were deprescribed. Conclusions: In a primary care setting where patients had access to lifestyle medicine, a subset of adults with T2D experienced meaningful health improvements and were able to reduce glucose-lowering medications without any serious adverse events noted in the EHR.
Abstract: When effectively implemented, lifestyle interventions can lead to significant improvements in glycemic control, often reducing the need for glucose-lowering medications. However, guidance on deprescribing these medications following lifestyle changes remains limited. This study aims to characterize the deprescribing practices of lifestyle medicine clinicians for glucose-lowering medications in patients with T2D who undergo lifestyle interventions. A cross-sectional survey assessing provider demographics, deprescribing protocols, monitoring practices, and follow-up approaches was conducted among lifestyle medicine clinicians with prescriptive authority or involvement in therapeutic decision-making. Data were analyzed using descriptive statistics, and qualitative themes from open-ended responses were summarized. A total of 67 providers completed the survey. More than half (53%) reported having no established protocol for deprescribing diabetes medications, although respondents detailed individualized approaches based on glucose monitoring and patient progress. Providers most frequently deprescribed medications associated with hypoglycemia risk first (e.g., sulfonylureas and meal-time insulin). Common monitoring strategies included hemoglobin A1c (99%), fasting lipid profiles (86%), and continuous glucose monitoring (59% preferred). Hypoglycemia was reported as rare or uncommon in patients undergoing lifestyle medicine treatment. Conclusions: Despite the absence of standardized protocols, lifestyle medicine clinicians consistently employ patient-centered strategies to adjust medications based on individual response to lifestyle interventions.
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