TY - JOUR
T1 - Development and evaluation of a patient-centered quality indicator for the appropriateness of type 2 diabetes management
AU - McCoy, Rozalina G.
AU - Lipska, Kasia J.
AU - Van Houten, Holly K.
AU - Shah, Nilay D.
N1 - Funding Information:
Funding This effort was funded by an AARP Quality Measure Innovation Grant through a collaboration with OptumLabs and the NQF Measure Incubator (RGM) and the National Institute of Health, National Institute of Diabetes and Digestive and Kidney Diseases (grant number K23DK114497) (RGM).
Funding Information:
for Health Equity and Community Engagement Research. In the past 36 months, KJL also received support from the National Institute on Aging and the American Federation of Aging Research through the Paul Beeson Career Development Award (K23AG048359), the Yale Claude D. Pepper Older Americans Independence Center (P30AG021342), and from CMS to develop and maintain publicly reported quality measures. In the past 36 months, NDS has received research support through Mayo Clinic from the Food and Drug Administration to establish Yale-Mayo Clinic Center for Excellence in Regulatory Science and Innovation (CERSI) program (U01FD005938); the Centers of Medicare and Medicaid Innovation under the Transforming Clinical Practice Initiative (TCPI); the Agency for Healthcare Research and Quality (1U19HS024075; R01HS025164; R01HS025402; R03HS025517); the National Heart, Lung and Blood Institute of the National Institutes of Health (R56HL130496; R01HL131535); the National Science Foundation; and the Patient Centered Outcomes Research Institute (PCORI) to develop a Clinical Data Research Network (LHSNet).
Publisher Copyright:
© 2020 Author(s). Published by BMJ.
PY - 2020/11/24
Y1 - 2020/11/24
N2 - Introduction Current diabetes quality measures are agnostic to patient clinical complexity and type of treatment required to achieve it. Our objective was to introduce a patient-centered indicator of appropriate diabetes therapy indicator (ADTI), designed for patients with type 2 diabetes, which is based on hemoglobin A1c (HbA1c) but is also contextualized by patient complexity and treatment intensity. Research design and methods A draft indicator was iteratively refined by a multidisciplinary Delphi panel using existing quality measures, guidelines, and published literature. ADTI performance was then assessed using OptumLabs Data Warehouse data for 2015. Included adults (n=206 279) with type 2 diabetes were categorized as clinically complex based on comorbidities, then categorized as treated appropriately, overtreated, or undertreated based on a matrix of clinical complexity, HbA1c level, and medications used. Associations between ADTI and emergency department/hospital visits for hypoglycemia and hyperglycemia were assessed by calculating event rates for each treatment intensity subset. Results Overall, 7.4% of patients with type 2 diabetes were overtreated and 21.1% were undertreated. Patients with high complexity were more likely to be overtreated (OR 5.60, 95% CI 5.37 to 5.83) and less likely to be undertreated (OR 0.65, 95% CI 0.62 to 0.68) than patients with low complexity. Overtreated patients had higher rates of hypoglycemia than appropriately treated patients (22.0 vs 6.2 per 1000 people/year), whereas undertreated patients had higher rates of hyperglycemia (8.4 vs 1.9 per 1000 people/year). Conclusions The ADTI may facilitate timely, patient-centered treatment intensification/deintensification with the goal of achieving safer evidence-based care.
AB - Introduction Current diabetes quality measures are agnostic to patient clinical complexity and type of treatment required to achieve it. Our objective was to introduce a patient-centered indicator of appropriate diabetes therapy indicator (ADTI), designed for patients with type 2 diabetes, which is based on hemoglobin A1c (HbA1c) but is also contextualized by patient complexity and treatment intensity. Research design and methods A draft indicator was iteratively refined by a multidisciplinary Delphi panel using existing quality measures, guidelines, and published literature. ADTI performance was then assessed using OptumLabs Data Warehouse data for 2015. Included adults (n=206 279) with type 2 diabetes were categorized as clinically complex based on comorbidities, then categorized as treated appropriately, overtreated, or undertreated based on a matrix of clinical complexity, HbA1c level, and medications used. Associations between ADTI and emergency department/hospital visits for hypoglycemia and hyperglycemia were assessed by calculating event rates for each treatment intensity subset. Results Overall, 7.4% of patients with type 2 diabetes were overtreated and 21.1% were undertreated. Patients with high complexity were more likely to be overtreated (OR 5.60, 95% CI 5.37 to 5.83) and less likely to be undertreated (OR 0.65, 95% CI 0.62 to 0.68) than patients with low complexity. Overtreated patients had higher rates of hypoglycemia than appropriately treated patients (22.0 vs 6.2 per 1000 people/year), whereas undertreated patients had higher rates of hyperglycemia (8.4 vs 1.9 per 1000 people/year). Conclusions The ADTI may facilitate timely, patient-centered treatment intensification/deintensification with the goal of achieving safer evidence-based care.
KW - diabetes mellitus
KW - health services research
KW - insurance claim review
KW - quality of health care
KW - type 2
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U2 - 10.1136/bmjdrc-2020-001878
DO - 10.1136/bmjdrc-2020-001878
M3 - Article
C2 - 33234510
AN - SCOPUS:85096817538
SN - 2052-4897
VL - 8
JO - BMJ Open Diabetes Research and Care
JF - BMJ Open Diabetes Research and Care
IS - 2
M1 - e001878
ER -