Journal of Korean medical science
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J. Korean Med. Sci. · Aug 2023
ReviewDevelopment of Items for Transitional Care Service and Outcome Indicators of Discharged Patients for Improvement in Quality of Care.
In this study, with the aim of improving the quality of transitional care service for discharged patients, the Health Care Quality and Outcomes Indicators of the Organization for Economic Co-operation and Development and National Health Service Outcomes Framework of the UK were applied to derive service items for provision and develop evaluation indicators under categories of effectiveness, safety, and patient-centeredness. ⋯ This study suggest practical implications for the service with high relevance and necessity for transitional period. It also presented outcome indicators of transitional care service to contribute toward an improvement in the quality of care.
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J. Korean Med. Sci. · Aug 2023
Effects of COVID-19 and Influenza Vaccination on Rheumatic Diseases: Results From a Survey of Patient-Reported Outcomes After Vaccination.
This study aimed to compare the occurrence of adverse events (AEs) and disease flares after vaccination against coronavirus disease 2019 (COVID-19) and influenza in patients with autoimmune rheumatic diseases (ARDs). ⋯ The results of the survey of patients with ARD revealed that patient-reported AEs and underlying disease flares after receiving the COVID-19 vaccine were significantly higher than those after the influenza vaccine.
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Visual aura (VA) occurs mostly in migraine with aura (MA), but some case studies have reported aura in non-migraine headaches. Thus, information of VA in non-migraine headaches is scarce. Aim of this study was to investigate the prevalence and impact of VA in non-migraine headache and compare it with that of migraine headache. ⋯ Non-migraine headache with VA patients had more severe symptoms than those without VA. These findings may improve the understanding of VA and the management of individuals with non-migraine headache.
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J. Korean Med. Sci. · Aug 2023
ReviewThe Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use.
Artificial intelligence (AI)-based diagnostic technology using medical images can be used to increase examination accessibility and support clinical decision-making for screening and diagnosis. To determine a machine learning algorithm for diabetes complications, a literature review of studies using medical image-based AI technology was conducted using the National Library of Medicine PubMed, and the Excerpta Medica databases. Lists of studies using diabetes diagnostic images and AI as keywords were combined. ⋯ Major limitations in AI-based detection of diabetes complications using medical images were the lack of datasets (36.1%, 82/227 cases) and severity misclassification (26.4%, 60/227 cases). Although it remains difficult to use and fully trust AI-based imaging analysis technology clinically, it reduces clinicians' time and labor, and the expectations from its decision-support roles are high. Various data collection and synthesis data technology developments according to the disease severity are required to solve data imbalance.
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J. Korean Med. Sci. · Aug 2023
Association Between Oral Health and Airflow Limitation: Analysis Using a Nationwide Survey in Korea.
Although poor oral health is a common comorbidity in individuals with airflow limitation (AFL), few studies have comprehensively evaluated this association. Furthermore, the association between oral health and the severity of AFL has not been well elucidated. ⋯ Denture wearing, high DMFT index, and fewer permanent teeth are significantly associated with AFL. Furthermore, a reduced number of permanent teeth (0-19) was significantly related to the severity of AFL. Therefore, physicians should pay attention to oral health in managing patients with AFL, such as chronic obstructive pulmonary disease.