Background And Purpose: There are limited data from Taiwan about the accuracy of National Health Insurance (NHI) claims data. This study assessed the accuracy of NHI claims data for diabetes and its associated factors.
Methods: Insurance claims data for patients with a diagnosis of diabetes were extracted from the records of the Bureau of National Health Insurance, including detailed files of the outpatient, emergency, inpatient and pharmacy treatment records from January 1, 2000 to December 31, 2000. A stratified, 2-staged, probability proportional to size and equal probability method was used to sample 9000 diabetes patients. The accuracy of the diabetes diagnosis was assessed based on patient responses to questionnaire items. Subjects with negative or uncertain questionnaire answers who had hypoglycemic agents in pharmacy claims data were also classified as diabetic.
Results: A total of 1350 questionnaires were returned and an accurate diagnosis was verified from data in 1007 (74.6%) of these subjects. Univariate analysis showed that level of accreditation of the hospital, age, gender, follow-up department, type of complication, number of outpatient visits, emergent visit, as well as hospitalization were significant factors associated with an accurate diagnosis of diabetes. Multivariate logistic regression analysis revealed that number of outpatient visits, hospitalization, age, and the level of accreditation of the hospital were significant independent factors. The odds ratio of an accurate diagnosis increased with the number of outpatient visits and hospitalization. The probability of accurate diagnosis of diabetes among patients with >/= 4 outpatient visits was 99.16 times greater than that of patients with = 1 outpatient visit. The probability of accurate diagnosis in patients with >/= 1 hospitalization was 5.26 times that of patients who had not been hospitalized.
Conclusions: This study found that the accuracy of diabetes diagnosis in NHI claims data in Taiwan was 74.6%. Further attention to the association of inaccurate claims in cases with infrequent outpatient visits, young age and those attending non-accredited hospitals is needed in order to address the efficiency of diagnosis and surveillance of diabetes in Taiwan.
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Sensors (Basel)
December 2024
School of Engineering and Sciences, Tecnologico de Monterrey, Monterrey 64700, Nuevo Leon, Mexico.
With recent significant advancements in artificial intelligence, the necessity for more reliable recognition systems has rapidly increased to safeguard individual assets. The use of brain signals for authentication has gained substantial interest within the scientific community over the past decade. Most previous efforts have focused on identifying distinctive information within electroencephalogram (EEG) recordings.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Applied Neuromechanics Research Group, Laboratory of Neuromechanics, Federal University of Pampa (Unipampa), P.O. Box 118, Uruguaiana 97500-970, RS, Brazil.
Kinematic assessment of ball kicking may require significant human effort (e.g., traditional vision-based tracking systems).
View Article and Find Full Text PDFNutrients
December 2024
Institute of Bioengineering, Miguel Hernández University, 03202 Elche, Spain.
Background: Foods with protein claims (PCs) targeted at the general population are increasingly sought after by consumers because they think they are healthy. However, they may contain other nutrients that pose a health risk.
Objectives: Therefore, the aim of this work was to carry out a comprehensive evaluation of foods with PC and compare them with those without these claims.
J Clin Med
December 2024
Nox Health, Inc., 100 Kimball Place, Suite 100, Alpharetta, GA 30009, USA.
To determine the relationship between comorbid sleep-disordered breathing (SDB) and hospitalization rates related to diabetes mellitus (DM) and atherosclerotic disease (AD). This study used a retrospective cohort design from a large medical claims database with 5 years of data between 2018 and 2022. The presences of SDB, DM, and AD were identified using International Classification of Diseases (ICD-10) and relevant Current Procedural Terminology (CPT) codes.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Dietary supplements are readily available over the counter in the United States and are used by the majority of older adults to address a variety of concerns and conditions. Many older adults report using dietary supplements for cognitive health-either to address memory loss or dementia or in efforts to prevent cognitive decline. Our objective for this narrative review is to summarize the available efficacy and safety data for several supplements commonly reported in our clinic as being used for symptoms of dementia.
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