mHealth and eHealth Applications for a Medicalized Quarantine Hotel during the COVID-19 Pandemic.

BACKGROUND: In Taiwan, the number of confirmed cases of coronavirus disease 2019 (COVID-19) has risen significantly in May 2021. The second wave of the epidemic occurred in May 2022. mHealth (mobile health, social media communities) and eHealth (electronic health, Hospital Information System) can play an important role in this pandemic by minimizing the spread of the virus, leveraging health care providers' time, and alleviating the challenges of medical education. OBJECTIVES: This study aimed to describe the process of using mHealth and eHealth to build a medicalized quarantine hotel (MQH) and understand the physical and mental impact of COVID-19 on patients admitted to the MQH. METHODS: In this retrospective observational study, data from 357 patients who stayed at the MQH were collected and their psychological symptoms were assessed using an online Brief Symptom Rating Scale (BSRS). Descriptive statistics, independent sample t-test, univariate analysis of variance, and multiple linear regression analysis were performed. RESULTS: The patients' mean age was 35.5 ± 17.6 years, and 52.1% (n = 186) of them were males. Altogether, 25.2% (n = 90) of the patients had virtual visits. The average duration of the hotel stay was 6.8 ± 1.4 days, and five patients (0.01%) were transferred to the hospital. The three most common symptoms reported were cough (39%), followed by the sore throat (22.8%), and stuffy/runny nose (18.9%). Most patients achieved a total BSRS score of 0 to 5 points (3,569/91.0%), with trouble falling asleep (0.65 ± 0.65), feeling tense or high-strung (0.31 ± 0.66), and feeling down or depressed (0.27 ± 0.62) scoring highest. The BSRS score was the highest on the first day. The sex of the patients was significantly related to the BSRS score (p < 0.001). CONCLUSION: mHealth and eHealth can be used to further monitor an individual's physiological and psychological states. Early intervention measures are needed to improve health care quality.

Tracking Hospital Visitors/Chaperones during the COVID-19 Pandemic.

OBJECTIVE: The coronavirus disease (COVID-19) is an emerging infectious disease with strong infectious power and fatality rate. To protect national health, government agencies have regulations on hospital chaperoning and visiting. This article presents the development and implementation of a monitoring system for hospital visiting and chaperoning during the COVID-19 pandemic. The study aimed to create a hospital visiting and chaperoning monitor system that uses nation-wide data sources to more accurately screen hospital visitors and chaperones, assist contract tracing, and prevent transmission of severe acute respiratory syndrome coronavirus 2. METHODS: This project was implemented in 57 ward units of an academic medical center. The system was connected to the National Health Insurance (NHI) system and Hospital Information System (HIS), and built on the data of everyone who accessed either the hospital or ward using an NHI smart card or national identification card. To shorten the time for manual identification, we also developed a new system of "app for appointment visits and chaperones" to make appointments online. RESULTS: After the implementation of the system, data from visitors and chaperones in the nursing information system could be accessed. Given that all data were registered in the HIS visiting/chaperoning monitor system, an epidemic investigation could be performed whenever there was a confirmed case. CONCLUSION: Through the establishment of this system, people entering the ward can be accurately controlled, and all the contacts of potential cases can be traced.

Reliability and Validity of the Chinese Version of the PTSD Symptom Scale-Interview for Patients With Severe Burn in Taiwan.

This study examined the psychometric properties of the Chinese version of the Post-traumatic Syndrome Scale-Interview (C-PSSI) for severe burn victims of the Formosa Fun Coast Explosion that occurred in Taiwan. A purposive sampling, cross-sectional, descriptive design study was selected. Participants were patients with severe burns from the Formosa Fun Coast Explosion, selected from teaching medical centers in Taiwan. They completed the C-PSSI and Patient Health Questionnaire-9 (PHQ-9). Statistical analysis was conducted to evaluate the psychometric properties, including reliability, construct validity (using confirmatory factor analysis), convergent validity, and criterion-related validity of the questionnaire. Data on 63 participants were analyzed. The Cronbach's α of the entire C-PSSI was .88, ranging from .73 to .82 for the three subscales of this instrument. The item-total correlation coefficient was from .42 to .81. Examining the convergent validity revealed that two subscores of the C-PSSI were significantly correlated with PHQ-9 total scores (ρ = .58, .44, P < .01). Criterion-related validity was confirmed because the PHQ-9 total scores were significantly correlated with the total C-PSSI scores (ρ = .54, P < .01). Confirmatory factor analysis confirmed the construct validity, with a good model fit. Integrated moderate to good psychometric properties were demonstrated and a three-factor model of the C-PSSI was verified in patients with severe burn in Taiwan. The C-PSSI exhibited adequate psychometric properties for posttraumatic stress disorder evaluation in patients with severe burn in Taiwan. The Chinese version of this scale can be used to assess the psychological problems of victims of traumatic events.

The Application of an Integrated IHCA Information System to Analysis the Related Indicators.

In-Hospital cardiac arrest (IHCA) is a high risk of patient's safety issue in medical institutions, the incidence and patient's outcome of IHCA is an important indicator of ability of medical treatment and emergency medical quality of hospital. By building up the IHCA information system, we can save the time of typing and statistical data, save the consumption of paper and storage space, managers can view immediately data, track progress and confirm the correctness of the information, and Index values can be rendered immediately.

Enhancing a Blood Transfusion Platform with Clinic Decision Support Component to Better Assure Patient Safety.

Blood transfusion is an important but complex and high-risky clinical procedure. Any error could cause serious injuries to patients. To better assure the procedure safety, we enhancing our home-made blood transfusion platform with new clinic decision support components to assure patient's identity and to inform clinicians of any event in time. So far, our transfusion incidence case has been reduced to 0 from 9 before the system implemented.