Diabetes technology

Reducing Inequity in the Use of Automated Insulin Delivery Systems by Adults With Type 1 Diabetes: Key Learnings From a Safety Net Diabetes Clinic Program

Endocr PractPublished Quality improvement program report

Authors' conclusion

The program's success among minoritized patients underscores the significance of tailored, collaborative, team-based care and targeted educational initiatives. Our experience provides a foundation for future efforts to ensure equitable access to diabetes technologies, emphasizing the potential of local quality improvement interventions.

Study context

Population
Adults with T1D at Boston Medical Center, the largest safety-net hospital in New England; referred population 49% female, mean A1c 8.7%, 68% public insurance beneficiaries, 25% Hispanic and 25% non-Hispanic Blackreferred
Participants
97 adults
Outcome
AID system use
Follow-up
First year
Methodological detailssingle-centre, multidisciplinary team, Strategies: increased access to diabetes educators, a referral system, telemedicine education classes and efforts to raise clinician awareness and confidence in recommending AID therapy
  • Single-centre
  • Multidisciplinary team
  • Strategies: increased access to diabetes educators, a referral system, telemedicine education classes and efforts to raise clinician awareness and confidence in recommending AID therapy

Main finding

As reported in the abstract

Increase in AID system use rates

166%

Referred patients starting on AID

64%

Further findings

Insulin pump use at baseline

Clinic T1D population using an insulin pump
13.5%

AID adoption in patients with A1c >8.5% · first year

Patients with A1c >8.5% who adopted AID systems
78%

Disparities in AID use

Disparities in AID use among minoritized populations narrowed

Original publication

Reducing Inequity in the Use of Automated Insulin Delivery Systems by Adults With Type 1 Diabetes: Key Learnings From a Safety Net Diabetes Clinic Program. Endocr Pract. Published 5 April 2024. doi:10.1016/j.eprac.2024.04.001

Composed by AI from the published abstract and checked against it. How Briefs are made →

Get them every week

New studies on this topic in My Week and in your Monday e-mail.

We e-mail you a sign-in link and a code. No password, no spam.