Change in claims-based diabetes medications is a diabetes improvement indicator

Because laboratory test results are less available to researchers than claims data, a claims-based indicator of diabetes improvement would be valuable. To determine whether a decrease in medication use for diabetes parallels clinical improvement in glycemic control. This was a retrospective cohort s...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The American journal of managed care 2013-07, Vol.19 (7), p.572-578
Hauptverfasser: Chang, Hsien-Yen, Richards, Thomas M, Clark, Jeanne M, Weiner, Jonathan P, Segal, Jodi B
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Because laboratory test results are less available to researchers than claims data, a claims-based indicator of diabetes improvement would be valuable. To determine whether a decrease in medication use for diabetes parallels clinical improvement in glycemic control. This was a retrospective cohort study using up to 3.5 years of pharmacy and laboratory data from 1 private insurer. Data included 104 patients with diabetes who underwent bariatric surgery and had at least 1 glycated hemoglobin (A1C) test before and after surgery. We assigned each A1C test to a 90-day interval before or after surgery. Medication availability was noted for the midpoint of the interval (on insulin, on oral medications, count of medications). Each subject could contribute 1 presurgery and up to 3 postsurgery observations. We recorded the changes in A1C test results and medication use from the presurgery to the postsurgery period. Using the A1C test as the reference standard, positive and negative predictive values of medication-based indicators were calculated. After bariatric surgery, A1C test values decreased by more than 1% and the count of unique medications decreased by 0.6. All 3 medication-based indicators had high positive predictive values (0.85) and low negative predictive values (0.20), and count of medications had better performance than the other indicators. Without clinical information, a decrease in use of medications can serve as a proxy for clinical improvement. Validation of results in other settings is needed.
ISSN:1088-0224
1936-2692