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Cost of Quality at a Clinical Laboratory in a Resource-Limited Country
Health care decision makers often have a limited understanding of the costs associated with quality improvement efforts. However, such information is vital for managers to make appropriate operational and financial decisions to ensure high quality health care services. We used the Cost of Quality (C...
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Published in: | Laboratory medicine 2010-07, Vol.41 (7), p.429-433 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Health care decision makers often have a limited understanding of the costs associated with quality improvement efforts. However, such information is vital for managers to make appropriate operational and financial decisions to ensure high quality health care services. We used the Cost of Quality (COQ) model to estimate the cost of quality-related activities at the Makerere University-Johns Hopkins University (MU-JHU) Laboratory in Uganda. Using data collected from January 1, 2007-December 31, 2007, we allocated the direct costs associated with quality-related activities in the laboratory across COQ's cost categories: prevention, appraisal, internal failures, and external failures. We found that approximately 94% of total COQ was spent on costs of "good quality" (prevention and appraisal), while 6% was spent on costs of "poor quality" (internal and external failures). The high percentage of COQ spent on prevention and appraisal activities is consistent with efforts to ensure high quality laboratory results. Future studies should try to link COQ to health outcomes and quantify "hidden" failure costs. This CE update introduces the Cost of Quality (COQ) model and illustrates how it can be applied to a clinical laboratory setting to help managers and executives make more informed decisions about spending on quality-related activities. We begin with an overview of the COQ concept and its 4 main cost categories, followed by an illustration of how the model can be applied in a medical laboratory setting. We then discuss some of the advantages and limitations of this methodology and provide suggestions for future research. Keywords: cost of quality, calculation of quality costs, clinical laboratory, resource-limited setting, Uganda |
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ISSN: | 0007-5027 1943-7730 |
DOI: | 10.1309/LMCZ0ZFR80QWIBEM |