• Proceedings of the Korean Society of Veterinary Clinics Conference
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• 2009.04a
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• pp.289-289
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• 2009

• Proceedings of the Korean Society of Veterinary Clinics Conference
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• 2009.04a
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• pp.273-273
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• 2009

• Proceedings of the Korean Society of Veterinary Clinics Conference
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• 2009.04a
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• pp.297-297
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• 2009

• Proceedings of the Korean Society of Veterinary Clinics Conference
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• 2009.10a
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• pp.221-221
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• 2009

• Proceedings of the Korean Society of Veterinary Clinics Conference
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• 2006.11a
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• pp.53-53
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• 2006

• Journal of Veterinary Clinics
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• v.26 no.3
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• pp.189-199
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• 2009

With the growing importance of evidence-based medicine, clinical or biomedical research relies critically on the validity and reliability of data, and the subsequent statistical inferences for medical decision-making may lead to valid conclusion. Despite widespread use of analytical techniques in papers published in the Journal of Veterinary Clinics statistical errors particularly in design of experiments, research methodology or data analysis methods are commonly encountered. These flaws often leading to misinterpretation of the data, thereby, subjected to inappropriate conclusions. This article is the first in a series of nontechnical introduction designed not to systemic review of medical statistics but intended to provide the journal readers with an understanding of common statistical concepts, including data scale, selection of appropriate statistical methods, descriptive statistics, data transformation, confidence interval, the principles of hypothesis testing, sampling distribution, and interpretation of results.

• Quality Improvement in Health Care
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• v.25 no.2
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• pp.16-25
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• 2019

Purpose:The healthcare system of South Korea is at the extreme of the dispersed system. Few regulations limit patients from directly visiting higher-level medical institutions for primary care sensitive conditions. As a result, similar to local clinics, general and tertiary teaching hospitals also provide diverse primary care services. Our study aimed to examine the general public's perceptions of their primary care performance. Methods: Face-to-face surveys were conducted with 1000 adults who were living in South Korea with the aid of a questionnaire that included the Korean Primary Care Assessment Tool (KPCAT). The KPCAT consists of five domains, which are the main indicators of primary care performance: first contact, comprehensiveness, coordination, personalized care, and family/community orientation. One-way analysis of variance and post hoc tests were used to compare the KPCAT scores across the three types of medical institutions. Results: Domain-wise analyses revealed two different patterns. With regard to first contact and its subdomains, the highest and lowest scores emerged for local clinics and tertiary teaching hospitals, respectively. However, the other four domain scores were significantly lower for local clinics than for the other two types of medical institutions. Conclusions: Local clinics were perceived to be medical institutions that are responsible for providing primary care. However, the general public perceived only one domain of their primary care to be superior to that of the other two types of medical institutions: first contact. National efforts should be taken to strengthen their other four domains of primary care by training their workforce and providing appropriate incentives.

• Proceedings of the Korean Society of Veterinary Clinics Conference
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• 2006.11a
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• pp.138-138
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• 2006

• Proceedings of the Korean Society of Veterinary Clinics Conference
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• 2006.05a
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• pp.174-174
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• 2006

• Proceedings of the Korean Society of Veterinary Clinics Conference
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• 2006.05a
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• pp.208-208
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• 2006