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Improving Diabetes Control Using Lean Six Sigma Quality Improvement in an Endocrine Clinic in a Large Accountable Care Organization.
Kollipara, Usha; Rivera-Bernuy, Mario; Putra, Joseph; Burks, Jessica; Meyer, Amber; Ferguson, Shayla; Nelson, Carolyn; Mutz, Jackie; Mirfakhraee, Sasan; Bajaj, Puneet; Kermani, Asra; Fish, Jason S; Ali, Sadia.
Afiliação
  • Kollipara U; Southwestern Health Resources, Dallas, TX.
  • Rivera-Bernuy M; University of Texas Southwestern Medical Center, Dallas, TX.
  • Putra J; Southwestern Health Resources, Dallas, TX.
  • Burks J; Southwestern Health Resources, Dallas, TX.
  • Meyer A; University of Texas Southwestern Medical Center, Dallas, TX.
  • Ferguson S; University of Texas Southwestern Medical Center, Dallas, TX.
  • Nelson C; University of Texas Southwestern Medical Center, Dallas, TX.
  • Mutz J; Southwestern Health Resources, Dallas, TX.
  • Mirfakhraee S; University of Texas Southwestern Medical Center, Dallas, TX.
  • Bajaj P; Southwestern Health Resources, Dallas, TX.
  • Kermani A; University of Texas Southwestern Medical Center, Dallas, TX.
  • Fish JS; Southwestern Health Resources, Dallas, TX.
  • Ali S; University of Texas Southwestern Medical Center, Dallas, TX.
Clin Diabetes ; 39(1): 57-63, 2021 Jan.
Article em En | MEDLINE | ID: mdl-33551554
ABSTRACT
This article describes a quality improvement project to reduce the number of patients with diabetes who have poor glycemic control in a large tertiary care endocrinology clinic. The project used the Lean Six Sigma Define-Measure-Analyze-Improve-Control process improvement methodology to develop clinic workflow processes for obtaining A1C measurements in a timely manner to facilitate interventions to improve glycemic control. The percentage of patients with poorly controlled diabetes (A1C >9.0% or missing value in the past 12 months) significantly improved from 26.4% at baseline to 16% (P <0.001), and the proportion of patients with an A1C test within 3-6 months of an appointment improved from 76 to 92%.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article