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Evaluation of the ability of health care providers and patients to distinguish different colour shades and accuracy of visual glucose estimation when using colorimetric glucose measurement strips

Mini Dissertation (MsC (Epidemiology))--University of Pretoria, 2019.

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Other Authors: van Zyl, Danie G.
Format: Thesis
Language:English
Published: University of Pretoria 2026
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access_status_str Open Access
author2 van Zyl, Danie G.
author_browse van Zyl, Danie G.
author_facet van Zyl, Danie G.
collection Thesis
dc_rights_str_mv © 2025 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Mini Dissertation (MsC (Epidemiology))--University of Pretoria, 2019.
format Thesis
id oai:repository.up.ac.za:2263/110467
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:37:45.339Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2026
publishDateRange 2026
publishDateSort 2026
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/110467 Evaluation of the ability of health care providers and patients to distinguish different colour shades and accuracy of visual glucose estimation when using colorimetric glucose measurement strips van Zyl, Danie G. simbamhishi@gmail.com Mhishi, Simbarashe B. UCTD Sustainable Development Goals (SDGs) SMBG visual estimates photometric strips colorimetric charts, Mini Dissertation (MsC (Epidemiology))--University of Pretoria, 2019. INTRODUCTION: The prevalence and incidence of diabetes has been on the rise globally and in South Africa is now considered an epidemic. Blood glucose monitoring has become crucial in managing diabetic patients. The accuracy of glucose measures in self-blood glucose monitoring are paramount in making treatment discisions by diabetic patients. METHODS: Diabetes patients attending the diabetic clinic at Kalafong Hospital in Pretoria, South Africa as well as staff attending to patients in the clinics were enrolled to participate in this study. A cross-sectional study was conducted in two phases, Phase 1 enrolled 53 individuals, phase 2 enrolled 150 patients and 10 healthcare professionals. Phase 1 assessed ability of patients and healthcare professionals to visually estimate glucose concentration of solutions over a defined range, and phase 2 assessed visual estimation of blood glucose on whole blood. In both phases Accu-chek active glucose strips were used. RESULTS: In Phase 1, the 95% CI of mean visually acquired estimates by patients did not intersect with the true readings despite showing proportional change as glucose values increased. Bland-Altman plots for phase 1 showed a bias of 5.65 mmol/L (95% CI 4.85 – 6.44 mmol/L). The agreement between classifications based on the two methods (visual estimates vs glucometer readings) gave a weighted Kappa statistic of 0.18. In phase 2 Bland-Altman plots showed a bias of -0.372 mmol/L (95% CI -1.2 to 0.531) for visual estimates by patents, healthcare professionals had a bias of -0.801 mmol/L (95% CI -1.30 to -0.309 mmol/L). Weighted kappa statistic for classifications of estimates by healthcare professionals was 0.428 and of patients <0.001. CONCLUSION: Colorimetric matching to estimate blood glucose is inexact, and generally results in over or under-estimating glucose levels Clinical Epidemiology MsC (Epidemiology ) Unrestricted Faculty of Health Sciences SDG-03: Good health and well-being 2026-06-08T09:41:58Z 2026-06-08T09:41:58Z 2019-04 2018-11 Mini Dissertation * A2019 http://hdl.handle.net/2263/110467 N/A en © 2025 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Sustainable Development Goals (SDGs)
SMBG
visual estimates
photometric strips
colorimetric charts,
Evaluation of the ability of health care providers and patients to distinguish different colour shades and accuracy of visual glucose estimation when using colorimetric glucose measurement strips
title Evaluation of the ability of health care providers and patients to distinguish different colour shades and accuracy of visual glucose estimation when using colorimetric glucose measurement strips
title_full Evaluation of the ability of health care providers and patients to distinguish different colour shades and accuracy of visual glucose estimation when using colorimetric glucose measurement strips
title_fullStr Evaluation of the ability of health care providers and patients to distinguish different colour shades and accuracy of visual glucose estimation when using colorimetric glucose measurement strips
title_full_unstemmed Evaluation of the ability of health care providers and patients to distinguish different colour shades and accuracy of visual glucose estimation when using colorimetric glucose measurement strips
title_short Evaluation of the ability of health care providers and patients to distinguish different colour shades and accuracy of visual glucose estimation when using colorimetric glucose measurement strips
title_sort evaluation of the ability of health care providers and patients to distinguish different colour shades and accuracy of visual glucose estimation when using colorimetric glucose measurement strips
topic UCTD
Sustainable Development Goals (SDGs)
SMBG
visual estimates
photometric strips
colorimetric charts,
url http://hdl.handle.net/2263/110467