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Background Clinical decision support systems (CDSS) for renal anemia among hemodialysis patients are gaining clinical attention. However, wide adoption remains challenging, and critical factors concerning physician acceptance remain elusive. This qualitative study conducted in-depth interviews with nephrologists to determine the relevant factors influencing physician acceptance. Methods Seventeen nephrologists in the hemodialysis center at Far Eastern Memorial Hospital participated in semi-structured, in-depth interviews to explore their views and concerns regarding CDSS. The qualitative study was performed under the well-established framework of the unified theory of acceptance and use of technology (UTAUT). Results The majority of participating physicians (14 of the 17) believed that a CDSS could streamline their workflow and save time. All participants agreed that robust clinical evidence of CDSS efficacy was critical to enhance CDSS acceptance. In addition, physicians noted that CDSS provides educational value, promotes patient safety and quality of care, and aligns with future technological trends. Despite these benefits, physicians raised concerns regarding dependence, distrust, and potential interference, which related to the physician professionalism. The UTAUT model should be extended with additional construct of autonomy in recognition of physician professionalism. Conclusion This qualitative study revealed that nephrologists expressed positive views on the CDSS for anemia management. They acknowledged that the CDSS could enhance their work efficiency, improve patient safety, enhance care quality, and provide educational value. To optimize the acceptance of the CDSS under the UTAUT-Autonomy framework, the design and implementation of the CDSS should also address three additional key factors: over-dependence, distrust, and workflow interruption.

Background Since 2021, COVID-19 has had a substantial impact on global health and continues to contribute to serious health outcomes. In Taiwan, most research has focused on hospitalized patients or mortality cases, leaving important gaps in understanding the broader effects of the disease and identifying individuals at high risk. This study aims to investigate the risk factors for disease progression through a nationwide population-based cohort study on COVID-19 in Taiwan. Methods This study included 15,056 patients diagnosed with COVID-19 between January 1, 2021, and December 31, 2021, using the Taiwan National Health Insurance Research Database. Baseline and clinical characteristics were collected to verify the association with progression to severity outcomes, including hospital admission, intensive care unit (ICU) admission, invasive ventilatory support, fatal outcome, and the composite outcome of these four events. Patients were observed for 30 days for disease progression. Multivariable logistic regression models were used to calculate odd ratios and 95% confidence intervals (CIs) for each outcome, adjusting for age, sex, region, risk factors, and vaccination status. Results Overall, 8,169 patients diagnosed during outpatient visits and 6,887 patients diagnosed during hospitalization were analyzed. Adjusting for age, sex, region, risk factors, and vaccination status, elderly patients had higher risks of hospital admission, ICU admission, invasive ventilatory support, fatal outcome, and composite outcome. Specifically, the risk of the fatal outcome was significantly higher for patients aged 75–84 (odds ratio: 6.11, 95% CI: 4.75–7.87) and those aged 85 years and older (12.70, 9.48–17.02). Patients with cardiovascular disease exhibited higher risks of hospital admission (1.60, 1.31–1.96), ICU admission (1.52, 1.31–1.78), invasive ventilatory support (1.57, 1.26–1.96), and fatal outcomes (1.26, 1.03–1.54) and the composite outcome (1.66, 1.20–1.54). Diabetes mellitus was identified as a significant risk factor for all clinical outcomes (hospital admission: 1.89, 1.53–2.35; ICU admission: 1.53, 1.30–1.79; invasive ventilatory support: 1.27, 1.01–1.60; the composite outcome: 1.45, 1.28–1.66), except for the fatal outcome. Conclusions This study indicated the impact of sex, age, and risk factors on the clinical outcomes of COVID-19 patients in Taiwan. Elderly patients and those with cardiovascular disease or diabetes mellitus had higher risks for severe outcomes, including hospitalization, ICU admission, invasive ventilatory support, and mortality. These findings can provide evidence for a better understanding of risk factors for disease progression and inform targeted intervention.

Introduction Multimorbidity has been linked to elevated healthcare utilization and previous studies have found that socioeconomic status is an important factor associated with multimorbidity. Nonetheless, little is known regarding the impact of multimorbidity and socioeconomic status on healthcare costs and whether inequities in healthcare exist between socioeconomic classes within a universal healthcare system. Methods This longitudinal study employed the claims database of the National Health Insurance of Taiwan (959 990 enrolees), adopting medication-based Rx-defined morbidity groups (Rx-MG) as a measurement of multimorbidity. Mixed linear models were used to estimate the effects of multimorbidity and socioeconomic characteristics on annual healthcare costs between 2005 and 2010. Results The distribution of Rx-MGs and total costs presented statistically significant differences among gender, age groups, occupation, and income class (p < .001). Nearly 80% of the enrolees were classified as multimorbid and low income earners presented the highest prevalence of multimorbidity. After controlling for age and gender, increases in the number of Rx-MG assignments were associated with higher total healthcare costs. After controlling for the effects of Rx-MG assignment and demographic characteristics, physicians, paramedical personnel, and public servant were found to generate higher total costs than typical employees/self-employed enrolees, while low-income earners generated lower costs. High income levels were also found to be associated with lower total costs. It was also revealed that occupation and multimorbidity have a moderating effect on healthcare cost. Conclusions Increases in the prevalence of multimorbidity are associated with higher health care costs. This study determined that instances of multimorbidity varied according to socioeconomic class; likewise there were inequities in healthcare utilization among individuals of various occupations and income levels, even when demographic characteristics and multimorbidity were controlled for. This highlights the importance of socioeconomic status with regard to healthcare utilization. These results indicate that socioeconomic factors should not be discounted when discussing the utilization of healthcare by patients with multimorbidity.

One of the main objectives behind the expansion of insurance coverage is to eliminate disparities in health and healthcare. However, researchers have not yet fully elucidated the reasons for disparities in the use of high-cost treatments among patients of different occupations. Furthermore, it remains unknown whether discretionary decisions made at the hospital level have an impact on the administration of high-cost interventions in a universal healthcare system. This study investigated the adoption of drug-eluting stents (DES) versus bare metal-stents (BMS) among patients in different occupations and income levels, with the aim of gauging the degree to which the inclination of health providers toward treatment options could affect treatment choices at the patient-level within a universal healthcare system. We adopted a cross-sectional observational study design using hierarchical modeling in conjunction with the population-based National Health Insurance database of Taiwan. Patients who received either a BMS or a DES between 2007 and 2010 were included in the study. During the period of study, 42,124 patients received a BMS (65.3%) and 22,376 received DES (34.7%). Patients who were physicians or the family members of physicians were far more likely to receive DES (OR: 3.18, CI: 2.38-4.23) than were patients who were neither physicians nor in other high-status jobs (employers, other medical professions, or public service). Similarly, patients in the top 5% income bracket had a higher probability of receiving a DES (OR: 2.23, CI: 2.06-2.47, p < .001), than were patients in the lowest income bracket. After controlling for patient-level factors, the inclination of hospitals (proportion of DES>50% or between 25% and 50%) was shown to be strongly associated with the selection of DESs (OR: 3.64 CI: 3.24-4.09 and OR: 2.16, CI: 2.01-2.33, respectively). Even under the universal healthcare system in Taiwan, socioeconomic disparities in the use of high-cost services remain widespread. Differences in the care received by patients of lower socioeconomic status may be due to the discretionary decisions of healthcare providers.

Previous studies on clinical decision support systems (CDSSs) for the management of renal anemia in patients with end-stage kidney disease undergoing hemodialysis have previously focused solely on the effects of the CDSS. However, the role of physician compliance in the efficacy of the CDSS remains ill-defined. We aimed to investigate whether physician compliance was an intermediate variable between the CDSS and the management outcomes of renal anemia. We extracted the electronic health records of patients with end-stage kidney disease on hemodialysis at the Far Eastern Memorial Hospital Hemodialysis Center (FEMHHC) from 2016 to 2020. FEMHHC implemented a rule-based CDSS for the management of renal anemia in 2019. We compared the clinical outcomes of renal anemia between the pre- and post-CDSS periods using random intercept models. Hemoglobin levels of 10 to 12 g/dL were defined as the on-target range. Physician compliance was defined as the concordance of adjustments of the erythropoietin-stimulating agent (ESA) between the CDSS recommendations and the actual physician prescriptions. We included 717 eligible patients on hemodialysis (mean age 62.9, SD 11.6 years; male n=430, 59.9%) with a total of 36,091 hemoglobin measurements (average hemoglobin and on-target rate were 11.1, SD 1.4, g/dL and 59.9%, respectively). The on-target rate decreased from 61.3% (pre-CDSS) to 56.2% (post-CDSS) owing to a high hemoglobin percentage of >12 g/dL (pre: 21.5%; post: 29%). The failure rate (hemoglobin <10 g/dL) decreased from 17.2% (pre-CDSS) to 14.8% (post-CDSS). The average weekly ESA use of 5848 (SD 4211) units per week did not differ between phases. The overall concordance between CDSS recommendations and physician prescriptions was 62.3%. The CDSS concordance increased from 56.2% to 78.6%. In the adjusted random intercept model, the post-CDSS phase showed increased hemoglobin by 0.17 (95% CI 0.14-0.21) g/dL, weekly ESA by 264 (95% CI 158-371) units per week, and 3.4-fold (95% CI 3.1-3.6) increased concordance rate. However, the on-target rate (29%; odds ratio 0.71, 95% CI 0.66-0.75) and failure rate (16%; odds ratio 0.84, 95% CI 0.76-0.92) were reduced. After additional adjustments for concordance in the full models, increased hemoglobin and decreased on-target rate tended toward attenuation (from 0.17 to 0.13 g/dL and 0.71 to 0.73 g/dL, respectively). Increased ESA and decreased failure rate were completely mediated by physician compliance (from 264 to 50 units and 0.84 to 0.97, respectively). Our results confirmed that physician compliance was a complete intermediate factor accounting for the efficacy of the CDSS. The CDSS reduced failure rates of anemia management through physician compliance. Our study highlights the importance of optimizing physician compliance in the design and implementation of CDSSs to improve patient outcomes.

Background: Small cell lung cancer (SCLC) is the most aggressive form of lung cancer. The prognosis for SCLC patients remains unsatisfactory despite advances in chemotherapy. In this study, we sought to clarify the prognosis and treatment patterns of patients with SCLC. Methods: A cohort comprising all patients diagnosed with SCLC between January 2004 and December 2006 was assembled from the Taiwan Cancer Database. Patients were followed up until December 31, 2009, to determine overall survival. Patient survival was estimated using the Kaplan-Meier method, and Cox’s proportional hazard model was used to determine the relationship between prognostic factors and median survival time. Results: Among the 1,684 patients diagnosed with SCLC, 1,215 (72%) were diagnosed with extensive-stage disease and 469 (28%) with limited-stage disease. Most of the patients were male (90%). The median survival duration of patients with limited-stage and extensive-stage SCLC was 10.3 months and 5.6 months, respectively. For limited-stage patients, surgery, chemotherapy, and combined chemotherapy and radiotherapy resulted in better survival than best supportive care (HR 0.20, p < 0.001; HR 0.61, p < 0.001, and HR 0.37, p < 0.001, respectively). For extensive-stage patients, male gender was significantly associated with a poor prognosis (HR 1.45, p < 0.001) and chemotherapy was shown to improve overall survival more effectively than best supportive care (HR 0.37, p < 0.001). Conclusion: For limited-stage SCLC patients, surgery, chemotherapy, and combined chemotherapy and radiotherapy improved survival compared to best supportive care. Extensive-stage SCLC patients benefited more from chemotherapy treatment than from best supportive care.

Objectives This study aims to assess the impact of Traditional Chinese Medicine (TCM) on dementia patients, utilizing real-world data. Specifically, it seeks to evaluate how TCM influences clinical outcomes by examining changes in the Clinical Dementia Rating (CDR) and Mini-Mental State Examination (MMSE) scores, as well as its effect on medical expenses over a two-year period. Data from a multi-center research database spanning from 2004 to 2021 will be used to achieve these objectives, addressing the current gap in empirical data concerning intuitive outcomes and cognitive function assessments. Methods Propensity score matching was adopted to improve comparability among the intervention and control groups. Due to repeated dependent variable measurements, the generalized estimating equation was used to control for socio-demographic characteristics, regional characteristics, and Western medicine treatments for dementia. Results After propensity score matching, a total of 441 research subjects were included: 90 in the TCM intervention group and 351 in the non-TCM intervention group. The results of multivariate regression analysis showed that compared with the non-TCM intervention group, the MMSE scores in the TCM intervention group increased by 0.608 points each year. The annual change in CDR scores in the TCM intervention group was 0.702 times that of the non-TCM utilization group. After TCM intervention, annual outpatient expenses increased by US$492.2, hospitalization expenses increased by US$324.3, and total medical expenses increased by US$815.9, compared with the non-intervention group. Conclusions TCM interventions significantly decelerate cognitive decline in dementia patients, evidenced by slower reductions in MMSE scores and mitigated increases in CDR scores. However, these benefits are accompanied by increased medical expenses, particularly for outpatient care. Future healthcare strategies should balance the cognitive benefits of TCM with its economic impact, advocating for its inclusion in dementia care protocols.

ObjectivesExploring whether medical professionals, who are considered to be ‘informed consumers’ in the healthcare system, favour large providers for elective treatments. In this study, we compare the inclination of medical professionals and their relatives undergoing treatment for childbirth and cataract surgery at medical centres, against those of the general population.DesignRetrospective study using a population-based matched cohort data.ParticipantsPatients who underwent childbirth or cataract surgery between 1 January 2004 and 31 December 2013.Primary and secondary outcomes measuresWe used multiple logistic regression to compare the ORs of medical professionals and their relatives undergoing treatment at medical centres, against those of the general population. We also compared the rate of 14-day re-admission (childbirth) and 14-day reoperation (cataract surgery) after discharge between these groups.ResultsMultivariate analysis showed that physicians were more likely than patients with no familial connection to the medical profession to undergo childbirth at medical centres (OR 5.26, 95% CI 3.96 to 6.97, p<0.001), followed by physicians’ relatives (OR 2.68, 95% CI 2.20 to 3.25, p<0.001). Similarly, physicians (OR 1.63, 95% CI 1.21 to 2.19, p<0.01) and their relatives (OR 1.43, 95% CI 1.13 to 1.81, p<0.01) were also more likely to undergo cataract surgery at medical centres. Physicians also tended to select healthcare providers who were at the same level or above the institution at which they worked. We observed no significant difference in 14-day re-admission rates after childbirth and no significant difference in 14-day reoperation rates after cataract surgery across patient groups.ConclusionsMedical professionals and their relatives are more likely than the general population to opt for service at medical centres. Understanding the reasons that medical professionals and general populations both have a preferential bias for larger medical institutions could help improve the efficiency of healthcare delivery.

Objective Whether peginterferon α and ribavirin combination therapy reduces risk of hepatocellular carcinoma (HCC) or improves survival in patients dual-infected with hepatitis C virus (HCV) and hepatitis B virus (HBV) is unknown. Since it is ethically impossible to conduct a randomised trial to learn the long-term efficacy, we rely upon the large database to explore the effectiveness of combination therapy among dual-infected patients. Design Data for this population-based retrospective cohort study were obtained from the treatment programme, Cancer Registry, National Health Insurance and death certification. We examined the risk of HCC, mortality and adverse events in 1096 treated and 18 988 untreated HCV–HBV dually-infected patients. Outcomes were analysed using the bias corrected inverse probability weighting (IPW) by propensity scores. Outcomes of HCV–HBV dually-infected and HCV mono-infected patients receiving the same treatment were compared using new user design with IPW estimators to adjust for confounding. Results After adjustment, combination therapy significantly reduced the risk of HCC (HR 0.76, 95% CI 0.59 to 0.97), liver-related mortality (HR 0.47, 95% CI 0.37 to 0.6) and all-cause mortality (HR 0.42, 95% CI 0.34 to 0.52). Nevertheless, the underlying HBV infection was still a risk factor for HCC and mortality after treatment. Treatment was associated with an increase in the incidence of thyroid dysfunction (HR 1.9, p<0.001) and mood disorders (HR 1.81, p=0.005). Conclusions This is the first evidence showing that combination therapy decreased the risk of HCC and improved survival in HCV–HBV dually-infected patients despite a slight increase in the incidence of thyroid and mood disorders.

Background: Automated pharmacy claim data have been used for risk adjustment on health care utilization. However, most published pharmacy-based morbidity measures incorporate a coding algorithm that requires the medication data to be coded using the US National Drug Codes or the American Hospital Formulary Service drug codes, making studies conducted outside the US operationally cumbersome. Objective: This study aimed to verify that the pharmacy-based metric with the World Health Organization (WHO) Anatomical Therapeutic Chemical (ATC) algorithm can be used to explain the variations in health care utilization. Research Design: The Longitudinal Health Insurance Database of Taiwan's National Health Insurance enrollees was used in this study. We chose 2006 as the baseline year to predict the total cost, medication cost, and the number of outpatient visits in 2007. The pharmacy-based metric with 32 classes of chronic conditions was modified from a revised version of the Chronic Disease Score. Results: The ordinary least squares (OLS) model and log-transformed OLS model adjusted for the pharmacy-based metric had a better R 2 in concurrently predicting total cost compared with the model adjusted for Deyo's Charlson Comorbidity Index and Elixhauser's Index. The pharmacy-based metric models also provided a superior performance in predicting medication cost and number of outpatient visits. For prospectively predicting health care utilization, the pharmacy-based metric models also performed better than the models adjusted by the diagnosis-based indices. Conclusions: The pharmacy-based metric with the WHO ATC algorithm and the matching ATC codes were tested and found to be valid for explaining the variation in health care utilization.