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.

Electronic-prescribing tools improve N-acetylcysteine prescription accuracy and timeliness for patients who present following a paracetamol overdose: A digital innovation quality-improvement project

Objectives

Prescription error rates and delays in treatment provision are high for N-acetylcysteine (NAC) when prescribed for paracetamol overdose (POD). We hypothesised that an electronic tool which proposed the complete NAC regimen would reduce prescription errors and improve the timeliness of NAC provision. Error rates and delays in the provision of NAC were assessed following POD, before and after the implementation of an electronic prescribing tool.

Methods

The NAC electronic prescribing tool proposed the three NAC infusions (dosed for weight) following entry of the patient's weight. All NAC prescriptions were reviewed during a three-month period prior to and after the tool's implementation. Error rates were divided into dose, infusion volume or infusion rate. Delays in NAC provision were identified using national Emergency Medicine guidelines.

Results

108 NAC prescriptions were analysed for all adult patients admitted to the emergency department of a secondary care hospital in the UK between July-September 2017 and August-October 2018, respectively. There were no differences in the demographics of patients or the seniority of the prescribing clinician before or after the introduction of the electronic tool. The electronic prescribing tool was associated with a decrease in prescribing errors (25% to 0%, p < 0.0071) and an increase in the provision of NAC within recommended times (11.1% to 47.4%, p = 0.029).

Conclusions

An electronic prescribing tool improved prescription errors and the timeliness of NAC provision following POD. Further studies will determine the effect of this on length of stay and the benefit of wider implementation in other secondary care hospitals.