Implementing Best Practice Advisories to Reduce Inequities in Technology Use for People With Type 1 Diabetes
Implementing Best Practice Advisories to Reduce Inequities in Technology Use for People With Type 1 Diabetes
The overall goal of the study is to create a standardized, stakeholder-informed system within EMRs, that will enable an equitable and regular prescription and documentation of advanced diabetes technologies. This will reduce racial disparities and generate an understanding of the reasons behind prescription decisions.
The study will highlight the development and implementation an EMR-based Best Practice Advisory (BPA).
The study will answer whether the EMR-based BPA can effectively reduce disparities. Additionally, it will explore why providers may not prescribe advanced diabetes technologies.
Patients will also be surveyed to understand their perspectives on developing the EMR-based BPA.
For the proposed study we intend to implement an automatically delivered center decision support system provided at the time and location of the decision making along with actionable recommendations and computer based actionable recommendations. The provider will be required to opt out if not prescribing ADT and to provide a reason for not prescribing in order to advance on the EMR screen (Kawamoto et al, 2015).
Project Objectives Aim 1: To develop and implement an EMR-based BPA using stakeholder feedback to standardize the approach for prescribing and documentation of advanced diabetes technologies (ADT) (CGM, insulin pump, AID) among adult and pediatric PwT1D.
Aim 2: To determine the effectiveness of an EMR-based BPA in reducing racial inequities in ADT.
Primary Objective: To compare the proportion of non-white (non-Hispanic Black and Hispanic) PwT1D with progression in ADT use (CGM, insulin pump, AID) at 6 centers in the T1DX-QI (3 pediatric and 3 adult centers) where the BPA intervention is implemented with matched control non-white PwT1D at T1DX-QI centers not receiving the intervention over a 12-month period, adjusting for baseline level of ADT use and other confounders.
Secondary Objective: To assess the difference in ADT use between White and non-white (non-Hispanic Black and Hispanic) PwT1D receiving care at the intervention centers compared with the racial difference in ADT use in matched control PwT1D.
Aim 3: To explore the reasons identified for providers decision to not prescribe ADT and whether they were patient or provider led, and the association between the reason provided and the patient's race/ethnicity.
Methodology Overview Focus group discussions and structured interviews will be conducted among adult and pediatric endocrine providers based on the Agency for Healthcare Research and Quality (AHRQ) "Five Rights" (Flores et al, 2019) which engenders effective clinical decision support. Also other guiding frameworks such as the T1d Exchange Health Equity Framework (Ebekozien et al, 2019) will guide this process. The BPA as well as the approach to be followed for the documenting discussions between the provider and patients will be refined by the results of the qualitative study.
Using a non-randomized matched-pair intervention design, we will compare ADT use following a BPA intervention among non-Hispanic Black and Hispanic PwT1D receiving care at 6 T1DX-QI centers with matched control non-Hispanic Black and Hispanic PwT1D receiving care at a non-intervention center over a 12-month period.
Six T1DX-QI centers that are data mapped to the T1DX-QI database by study initiation will be selected for the intervention centers. There will be four additional centers as possible back-up if one or more of the 6 anticipated centers are not able to participate. Matched "control" PwT1D will also be selected from centers with mapped data.
Primary Outcome Definition: Primary outcome: Progression in ADT use (as documented in EMR) during the 12-month study period. The primary outcome would be defined as positive for an individual if any of the following occurs:
Based on this definition, a PwT1D in any of the following technology transition states would be considered as meeting the primary endpoint:
Data Analysis for Aim2 Primary: Progression in ADT use in the intervention group compared with matched-pair controls adjusting for number of encounters, correlation of matched pairs, and random center effects.
Secondary: Analysis will mimic the primary analysis for adjustment of confounders.
We will explore if the reasons technologies are not recommended/accepted differ by race and other factors. This aim is exploratory, and the extent of the analysis will ultimately depend on information collected as part of the BPA developed during Aim 1. If patient race is associated with differences in rates of technology prescribing/use, these findings will inform further interventions to address the contributing causes.
Age ≥ 2 years with an EMR diagnosis of T1D for at least 6 months at baseline and receiving care at one of six intervention centers or a matched control at another T1DX-QI center.
Inclusion Criteria:
Exclusion Criteria:
oebekozein@t1dexchange.org857-205-2388
twright@t1dexchange.org6178927564
Boston, Massachusetts 02110, United States
oebekozien@t1dexchange.org857-205-2388
twright@t1dexchange.org617-892-7564
oebekozien@t1dexchange.org8572052388
twright@t1dexchange.org2569497029