Purpose: Taiwan has changed the coding system to the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding since 2016. This study aimed to determine the optimal algorithms for identifying stroke risk factors in Taiwan’s National Health Insurance (NHI) claims data. Patients and Methods: We retrospectively enrolled 4538 patients hospitalized for acute ischemic stroke (AIS), transient ischemic attack (TIA), or intracerebral hemorrhage (ICH) from two hospitals’ stroke registries, which were linked to NHI claims data. We developed several algorithms based on ICD-10-CM diagnosis codes and prescription claims data to identify hypertension, diabetes, hyperlipidemia, atrial fibrillation (AF), and ischemic heart disease (IHD) using registry data as the reference standard. The agreement of risk factor status between claims and registry data was quantified by calculating the kappa statistic. Results: According to the registry data, the prevalence of hypertension, diabetes, hyperlipidemia, AF, and IHD among all patients was 77.5%, 41.5%, 47.9%, 12.1%, and 7.1%, respectively. In general, including diagnosis codes from prior inpatient or outpatient claims to those from the stroke hospitalization claims improved the agreement. Incorporating prescription data could improve the agreement for hypertension, diabetes, hyperlipidemia, and AF, but not for IHD. The kappa values of the optimal algorithms were 0.552 (95% confidence interval 0.524– 0.580) for hypertension, 0.802 (0.784– 0.820) for diabetes, 0.514 (0.490– 0.539) for hyperlipidemia, 0.765 (0.734– 0.795) for AF, and 0.518 (0.473– 0.564) for IHD. Conclusion: Algorithms using diagnosis codes alone are sufficient to identify hypertension, AF, and IHD whereas algorithms combining both diagnosis codes and prescription data are more suitable for identifying diabetes and hyperlipidemia. The study results may provide a reference for future studies using Taiwan’s NHI claims data.

This population-based study was designed to estimate and compare the risk of Alzheimer’s disease (AD) between patients with primary Sjögren’s syndrome (SS) and non-SS patients during a 10-year follow-up period. This is a retrospective cohort study. Data were obtained from the Taiwan’s National Health Insurance Research Database. We identified 4463 primary SS patients and 22,315 non-SS patients; patients were matched by sex, age, and the year of index use of health care. Each patient was studied to identify the subsequent manifestation of AD. Cox proportional hazard regression was used to study the subsequent manifestation of AD, and Kaplan-Meier survival curves were used to compare survival probability. During the 10-year follow-up period, 7 primary SS and 13 non-SS patients developed AD. During the 10-year follow-up period, the risk of AD was 2.68-fold higher in the primary SS cohort with an overall adjusted hazard ratio (HR) of 2.69 (95% CI 1.07–6.76), after adjusting for demographics and comorbidities. Within the 10-year period, patients with primary SS showed a 2.69-fold increased risk of developing AD. This risk increases with time, and the relative risk of AD is higher in older patients with primary SS.

Background: The aim of the present study was to investigate the relationship between care burden and motivation of COVID-19 vaccine acceptance among caregivers of patients who have experienced a stroke and to explore the mediating roles of social media use, fear of COVID-19, and worries about infection in this relationship. Methods: A cross-sectional survey study with 172 caregivers of patients who had experienced a stroke took part in a Taiwan community hospital. All participants completed the Zarit Burden Interview, Bergen Social Media Addiction Scale, Worry of Infection Scale, Fear of COVID-19 Scale, and Motors of COVID-19 Vaccine Acceptance Scale. Multiple linear regression model was applied to construct and explain the association among the variables. Hayes Process Macro (Models 4 and 6) was used to explain the mediation effects. Results: The proposed model significantly explained the direct association of care burden with motivation of COVID-19 vaccine acceptance. Despite the increased care burden associated with decreased vaccine acceptance, problematic social media use positively mediated this association. Moreover, problematic social media use had sequential mediating effects together with worry of infection or fear of COVID-19 in the association between care burden and motivation of vaccine acceptance. Care burden was associated with motivation of vaccine acceptance through problematic social media use followed by worry of infection. Conclusions: Increased care burden among caregivers of patients who have experienced a stroke may lead to lower COVID-19 vaccines acceptance. Moreover, problematic social media use was positively associated with their motivation to get COVID-19 vaccinated. Therefore, health experts and practitioners should actively disseminate accurate and trustworthy factual information regarding COVID-19, while taking care of the psychological problems among caregivers of patients who have experienced a stroke.

The present study examined the factor structure and concurrent validity of the traditional Chinese version of the Sexual Orientation Microaggression Inventory (SOMI) among lesbian, gay, and bisexual (LGB) individuals in Taiwan. In total, 1000 self-identified LGB individuals completed the SOMI, HIV and Homosexuality Related Stigma Scale (HHRSS), and Acceptance and Action Questionnaire-II (AAQ). Different factor structures (including one-factor, four-factor, bifactor, and higher-order factor structures) were evaluated using confirmatory factor analysis. The bifactor structure significantly outperformed all others on the SOMI. The bifactor structure with one general factor and four trait factors was found to be measurement invariant across biological sex with satisfactory fit indices. The SOMI general factor was significantly associated with HHRSS-Homosexuality score and AAQ score. The findings indicate that the SOMI is a psychometrically sound instrument for Taiwan sexual minority groups. More specifically, SOMI can be used to accurately assess microaggression among LGB individuals. The measure on microaggression may also provide insights for healthcare providers about LGB individuals’ sexuality-related stigma. Moreover, healthcare providers and relevant stakeholders can use the SOMI to understand how LGB individuals perceive and feel microaggression.

Background: Caregivers have faced unprecedented circumstances throughout the COVID-19 pandemic, but previous research only minimally addresses the caregivers' burden. Therefore, this study aimed to investigate the relationship between caregiver burden, psychological stress, satisfaction with support, and fear of COVID-19 in caregivers of patients with stroke during the pandemic.Methods: A cross-sectional survey study with total of 171 caregivers of patients with stroke in a community hospital in Taiwan. All participants completed the Zarit Burden Interview, Depression, Anxiety, Stress Scale (DASS-21), satisfaction of support survey, and Fear of COVID-19 Scale. Pearson correlations were used to examine the bivariate correlations between study variables. Then, with the control of demographic confounders, a multiple linear regression model was applied with significant variables to construct and explain caregiver burden.Results: The proposed model significantly explained the caregiver burden of caregivers of patients with stroke. Specifically, the caregiver burden was negatively correlated with satisfaction with family support, but positively with psychological distress and the fear of COVID-19.Conclusions: Caregivers of patients with stroke will suffer a greater burden if they have lower satisfaction with family support, experienced higher psychological distress, and perceived more fear of the COVID-19 pandemic. Health professionals must address these concerns, support caregivers, and enhance available resources.

Background: An increased risk of recurrent stroke is noted in patients with atrial fibrillation despite direct oral anticoagulant (DOAC) use. We investigated the efficacy and safety of treatment with each of 4 different DOACs or warfarin after DOAC failure. Methods and Results: We retrospectively analyzed patients with atrial fibrillation with ischemic stroke despite DOAC treatment between January 2002 and December 2016. The different outcomes of patients with DOAC failure were compared, including recurrent ischemic stroke, major cardiovascular events, intracranial hemorrhage and subarachnoid hemorrhage, mortality, and net composite outcomes according to switching to different DOACs or vitamin K antagonist after index ischemic stroke. We identified 3759 patients with DOAC failure. A total of 84 patients experienced recurrent ischemic stroke after switching to different oral anticoagulants, with a total follow‐up time of 14 years. Using the vitamin K antagonist group as a reference, switching to any of the 4 DOACs was associated with a 69% to 77% reduced risk of major cardiovascular events (adjusted hazard ratio [aHR], 0.25 [95% CI, 0.16–0.39] for apixaban, 0.23 [95% CI, 0.14–0.37] for dabigatran, 0.23 [95% CI, 0.09–0.60] for edoxaban, and 0.31 [95% CI, 0.21–0.45] for rivaroxaban), and a 69% to 83% reduced risk of net composite outcomes (aHR, 0.25 [95% CI, 0.18–0.35] for apixaban, 0.17 [95% CI, 0.11–0.25] for dabigatran, 0.31 [95% CI, 0.17–0.56] for edoxaban, and 0.31 [95% CI, 0.23–0.41] for rivaroxaban). Conclusions: In Asian patients with DOAC failure, continuing DOACs after index stroke was associated with fewer undesirable outcomes than switching to a vitamin K antagonist. Alternative pharmacologic and nonpharmacologic strategies warrant investigation.