Intensive care is expensive, and the numbers of intensive care unit (ICU) beds and trained specialist medical staff able to provide services in Hong Kong are limited. The most recent increase in coronavirus disease 2019 (COVID-19) infections over July to August 2020 resulted in more than 100 new cases per day for a prolonged period. The increased numbers of critically ill patients requiring ICU admission posed a capacity challenge to ICUs across the territory, and it may be reasonably anticipated that should a substantially larger outbreak occur, ICU services will be overwhelmed. Therefore, a transparent and fair prioritisation process for decisions regarding patient ICU admission is urgently required. This triage tool is built on the foundation of the existing guidelines and framework for admission, discharge, and triage that inform routine clinical practice in Hospital Authority ICUs, with the aim of achieving the greatest benefit for the greatest number of patients from the available ICU resources. This COVID-19 Crisis Triage Tool is expected to provide structured guidance to frontline doctors on how to make triage decisions should ICU resources become overwhelmed by patients requiring ICU care, particularly during the current COVID-19 pandemic. The triage tool takes the form of a detailed decision aid algorithm based on a combination of established prognostic scores, and it should increase objectivity and transparency in triage decision making and enhance decisionmaking consistency between doctors within and
Background Coronavirus disease 2019 (COVID-19) pandemic has put an enormous burden on healthcare systems worldwide. Limited access to medical care and fear of increased infective risks due to the use of immunosuppressive medication (IM) have increased concerns about IM adherence in kidney transplant recipients (KTR). The aim of this study is to determine the various dimensions of IM non-adherence in KTR during the COVID-19 pandemic. Methods This was a single-center, cross-sectional study using a convenient sampling approach. KTR with follow-up in Queen Elizabeth Hospital, Hong Kong between 1st May 2020 and 30th September 2020 were invited to complete a self-reported questionnaire on IM adherence. The sociodemographic factors associated with IM adherence were extracted from medical record. Results Total 210 patients completed the questionnaires. The overall IM non-adherence rate was 35.2% in the preceding 4 weeks. None of the patients stopped taking IM without doctors’ instructions. The most common pattern of IM non-adherence was timing adherence (n=63, 30.1%), followed by dose-skipping item. Among the different sociodemographic factors studied, only marital status was an independent risk factor of IM non-adherence (OR: 1.97, 95% CI: 1.04-3.72, P=0.03). Conclusion The impact of COVID-19 on IM adherence in KTR was small. All the patients continued their IM despite of the pandemic. Good family support can have a positive influence on treatment adherence in KTR during the COVID-19 pandemic.
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