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Using an Electronic Health Record and Deficit Accumulation to Pragmatically Identify Candidates for Optimal Prescribing in Patients With Type 2 Diabetes.
Callahan, Kathryn E; Lenoir, Kristin M; Usoh, Chinenye O; Williamson, Jeff D; Brown, LaShanda Y; Moses, Adam W; Hinely, Molly; Neuwirth, Zeev; Pajewski, Nicholas M.
Afiliação
  • Callahan KE; Section on Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC.
  • Lenoir KM; Center for Health Care Innovation, Wake Forest School of Medicine, Winston-Salem, NC.
  • Usoh CO; Center for Health Care Innovation, Wake Forest School of Medicine, Winston-Salem, NC.
  • Williamson JD; Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC.
  • Brown LY; Section on Endocrinology and Metabolism, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC.
  • Moses AW; Section on Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC.
  • Hinely M; Center for Health Care Innovation, Wake Forest School of Medicine, Winston-Salem, NC.
  • Neuwirth Z; Center for Health Care Innovation, Wake Forest School of Medicine, Winston-Salem, NC.
  • Pajewski NM; Center for Health Care Innovation, Wake Forest School of Medicine, Winston-Salem, NC.
Diabetes Spectr ; 35(3): 344-350, 2022.
Article em En | MEDLINE | ID: mdl-36082014
ABSTRACT

Objective:

Despite guidelines recommending less stringent glycemic goals for older adults with type 2 diabetes, overtreatment is prevalent. Pragmatic approaches for prioritizing patients for optimal prescribing are lacking. We describe glycemic control and medication patterns for older adults with type 2 diabetes in a contemporary cohort, exploring variability by frailty status. Research Design and

Methods:

This was a cross-sectional observational study based on electronic health record (EHR) data, within an accountable care organization (ACO) affiliated with an academic medical center/health system. Participants were ACO-enrolled adults with type 2 diabetes who were ≥65 years of age as of 1 November 2020. Frailty status was determined by an automated EHR-based frailty index (eFI). Diabetes management was described by the most recent A1C in the past 2 years and use of higher-risk medications (insulin and/or sulfonylurea).

Results:

Among 16,973 older adults with type 2 diabetes (mean age 75.2 years, 9,154 women [53.9%], 77.8% White), 9,134 (53.8%) and 6,218 (36.6%) were classified as pre-frail (0.10 < eFI ≤0.21) or frail (eFI >0.21), respectively. The median A1C level was 6.7% (50 mmol/mol) with an interquartile range of 6.2-7.5%, and 74.1 and 38.3% of patients had an A1C <7.5% (58 mmol/mol) and <6.5% (48 mmol/mol), respectively. Frailty status was not associated with level of glycemic control (P = 0.08). A majority of frail patients had an A1C <7.5% (58 mmol/mol) (n = 4,544, 73.1%), and among these patients, 1,755 (38.6%) were taking insulin and/or a sulfonylurea.

Conclusion:

Treatment with insulin and/or a sulfonylurea to an A1C levels <7.5% is common in frail older adults. Tools such as the eFI may offer a scalable approach to targeting optimal prescribing interventions.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article