Improving glaucoma management and compliance using a Lean Six Sigma approach

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Ficatier, J. (2015). Improving glaucoma management and compliance using a Lean Six Sigma approach. Unc Charlotte Electronic Theses And Dissertations.
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Abstract

Compliance to the treatment is a major factor in the evolution of glaucoma. The purpose of this study is to identify the factors that result in non-compliance to glaucoma treatment. More specifically, a Lean Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) methodology is applied to improve the follow-up process for Glaucoma patients in a Veterans Affairs (VA) Hospital in North Carolina, USA. The main problem in the current control process appears to be the low compliance (i.e. adherence to prescribed medication). In order to improve glaucoma treatment compliance and thus patient care, past medical data are analyzed to identify influential factors for non-compliance. Some of the factors investigated include patient age, proximity to the treatment center, presence of a supportive unit, drug abuse history and past trauma record. As part of the Lean Six Sigma framework, a regression model is developed to be used as a decision-aid tool for the hospital and the medical doctors to detect and control compliance issues during the follow-up process.

Details
Author

Ficatier, Johanna

Title

Improving glaucoma management and compliance using a Lean Six Sigma approach

Physical Description

1 online resource (107 pages) : PDF

Date

2015

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

Compliance to the treatment is a major factor in the evolution of glaucoma. The purpose of this study is to identify the factors that result in non-compliance to glaucoma treatment. More specifically, a Lean Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) methodology is applied to improve the follow-up process for Glaucoma patients in a Veterans Affairs (VA) Hospital in North Carolina, USA. The main problem in the current control process appears to be the low compliance (i.e. adherence to prescribed medication). In order to improve glaucoma treatment compliance and thus patient care, past medical data are analyzed to identify influential factors for non-compliance. Some of the factors investigated include patient age, proximity to the treatment center, presence of a supportive unit, drug abuse history and past trauma record. As part of the Lean Six Sigma framework, a regression model is developed to be used as a decision-aid tool for the hospital and the medical doctors to detect and control compliance issues during the follow-up process.

Genre

masters theses

Subjects--Topics

Engineering

Degree

M.S.

Keywords

Compliance
DMAIC
Glaucoma
Lean
Lean Healthcare
Six Sigma

Subject Area

Engineering Management

Advisor(s)

Ozelkan, Ertunga

Committee Members

Davis, Charles
Teng, Gary

Degree Note

Thesis (M.S.)--University of North Carolina at Charlotte, 2015.

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Rights Holder Information

Copyright is held by the author unless otherwise indicated.

Identifier

Ficatier_uncc_0694N_10993

Permalink

http://hdl.handle.net/20.500.13093/etd:137