4.4 Article Proceedings Paper

Competing demands or clinical inertia: The case of elevated glycosylated hemoglobin

Journal

ANNALS OF FAMILY MEDICINE
Volume 5, Issue 3, Pages 196-201

Publisher

ANNALS FAMILY MEDICINE
DOI: 10.1370/afm.679

Keywords

diabetes mellitus, type 2; hemoglobin A, glycosylated; ambulatory care; primary care; health care delivery; health services research; quality of care; practice-based research networks; office visits

Funding

  1. AHRQ HHS [K08 HS013008-02] Funding Source: Medline

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PURPOSE This study aimed to examine the contribution of competing demands to changes in hypoglycemic medications and to return appointment intervals for patients with type 2 diabetes and an elevated glycosylated hemoglobin (A(1c)) level. METHODS We observed 211 primary care encounters by adult patients with type 2 diabetes in 20 primary care clinics and documented changes in hypoglycemic medications. Competing demands were assessed from length of encounter, number of concerns patients raised, and number of topics brought up by the clinician. Days to the next scheduled appointment were obtained at patient checkout. Recent A,, values and dates were determined from the chart. RESULTS Among patients with an A,, level greater than 7%, each additional patient concern was associated with a 49% (95% confidence interval, 35%-60%) reduction in the likelihood of a change in medication, independent of length of the encounter and most recent level of A,,. Among patients with an A,, level greater than 7% and no change in medication, for every additional minute of encounter length, the time to the next scheduled appointment decreased by 2.8 days (P = .001). Similarly, for each additional 1% increase in A,, level, the time to the next scheduled appointment decreased by 8.6 days (P = .001). CONCLUSIONS The concept of clinical inertia is limited and does not fully characterize the complexity of primary care encounters. Competing demands is a principle for constructing models of primary care encounters that are more congruent with reality and should be considered in the design of interventions to improve chronic disease outcomes in primary care settings.

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