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1.
PLOS Digit Health ; 1(11): e0000146, 2022 Nov.
Article in English | MEDLINE | ID: covidwho-2259496

ABSTRACT

The factors associated with digital exclusion in the covid virtual ward population at a North West London teaching hospital were assessed in this study. Patients discharged from the covid virtual ward were contacted to give their feedback on their experience. Questions were tailored to whether or not the patient used the Huma app during their time on the virtual ward and were subsequently divided into 'app user' and 'non-app user' cohorts. The non-app user population accounted for 31.5% of the total patients referred to the virtual ward. Four major themes drove digital exclusion in this group: language barriers, access, inadequate information/training, and poor IT skills. In conclusion, incorporating additional languages and improving hospital-setting demonstration and information provision to patients prior to discharge were highlighted as key factors for reducing digital exclusion in the covid virtual ward patients.

2.
JMIR Res Protoc ; 11(7): e38437, 2022 Jul 21.
Article in English | MEDLINE | ID: covidwho-1952077

ABSTRACT

BACKGROUND: The implementation of novel digital solutions within the National Health Service has historically been challenging. Since the start of the COVID-19 pandemic, there has been a greater push for digitization and for operating remote monitoring solutions. However, the implementation and widespread adoption of this type of innovation have been poorly studied. OBJECTIVE: We aim to investigate key stakeholder barriers and facilitators to implementing remote monitoring solutions to identify factors that could affect successful adoption. METHODS: A mixed methods approach will be implemented. Semistructured interviews will be conducted with high-level stakeholders from industry and academia and health care providers who have played an instrumental role in, and have prior experience with, implementing digital solutions, alongside the use of an adapted version of the Technology Acceptance Model questionnaire. RESULTS: Enrollment is currently underway, having started in February 2022. It is anticipated to end in July 2022, with data analysis scheduled to commence in August 2022. CONCLUSIONS: The results of our study may highlight key barriers and facilitators to implementing digital remote monitoring solutions, thereby allowing for improved widespread adoption within the National Health Service in the future. TRIAL REGISTRATION: ClinicalTrials.gov NCT05321004; https://clinicaltrials.gov/ct2/show/NCT05321004.

3.
BMJ Case Rep ; 14(8)2021 Aug 03.
Article in English | MEDLINE | ID: covidwho-1341315

ABSTRACT

A 50-year-old man with no medical history of note presented with new onset of confusion and dyspnoea. He tested positive for coronavirus (COVID-19), and subsequently, was admitted to the intensive care unit due to severe sepsis and acute renal failure requiring haemodialysis. Shortly afterwards, he was intubated due to haemodynamic instability. His blood culture was positive for Staphylococcus aureus bacteraemia, and echocardiogram showed evidence of vegetation in the aortic valve area. He was commenced on intravenous antibiotics for infective endocarditis (IE). Following extubation, he underwent an MRI of the spine due to increasing back pain. This was suggestive of L5-S1 discitis, likely secondary to septic emboli from IE. A few days later, he developed acute ischaemia of the left toes and extensive thrombosis of the right cubital and left iliac veins. Following a prolonged hospital admission, he was discharged home and later underwent an elective forefoot amputation from which he made a good recovery.


Subject(s)
Bacteremia , COVID-19 , Endocarditis, Bacterial , Endocarditis , Staphylococcal Infections , Endocarditis, Bacterial/complications , Endocarditis, Bacterial/diagnosis , Endocarditis, Bacterial/drug therapy , Humans , Male , Middle Aged , SARS-CoV-2 , Staphylococcal Infections/complications , Staphylococcal Infections/diagnosis , Staphylococcal Infections/drug therapy , Staphylococcus aureus
4.
BMC Public Health ; 21(1): 638, 2021 Apr 01.
Article in English | MEDLINE | ID: covidwho-1166899

ABSTRACT

BACKGROUND: SARS-CoV-2 has ever-increasing attributed deaths. Vital sign trends are routinely used to monitor patients with changes in these parameters preceding an adverse event. Wearable sensors can measure vital signs continuously and remotely, outside of hospital facilities, recognising early clinical deterioration. We aim to determine the feasibility & acceptability of remote monitoring systems for quarantined individuals in a hotel suspected of COVID-19. METHODS: A pilot, proof-of-concept, feasibility trial was conducted in engineered hotels near London airports (May-June 2020). Individuals arriving to London with mild suspected COVID-19 symptoms requiring quarantine, as recommended by Public Health England, or healthcare professionals with COVID-19 symptoms unable to isolate at home were eligible. The SensiumVitals™ patch, measuring temperature, heart & respiratory rates, was applied on arrival for the duration of their stay. Alerts were generated when pre-established thresholds were breeched; trained nursing staff could consequently intervene. RESULTS: Fourteen individuals (M = 7, F = 7) were recruited; the mean age was 34.9 (SD 11) years. Mean length of stay was 3 (SD 1.8) days. In total, 10 vital alerts were generated across 4 participants, resulting in telephone contact, reassurance, or adjustment of the sensor. No individuals required hospitalisation or virtual general practitioner review. DISCUSSION: This proof-of-concept trial demonstrated the feasibility of a rapidly implemented model of healthcare delivery through remote monitoring during a pandemic at a hotel, acting as an extension to a healthcare trust. Benefits included reduced viral exposure to healthcare staff, with recognition of clinical deterioration through ambulatory, continuous, remote monitoring using a discrete wearable sensor. CONCLUSION: Remote monitoring systems can be applied to hotels to deliver healthcare safely in individuals suspected of COVID-19. Further work is required to evaluate this model on a larger scale. TRIAL REGISTRATION: Clinical trials registration information: ClinicalTrials.gov Identifier: NCT04337489 (07/04/2020).


Subject(s)
COVID-19 , Quarantine , Remote Sensing Technology , SARS-CoV-2 , Adult , England , Feasibility Studies , Female , Humans , London , Male , Pandemics/prevention & control
5.
Pilot Feasibility Stud ; 7(1): 62, 2021 Mar 05.
Article in English | MEDLINE | ID: covidwho-1119445

ABSTRACT

BACKGROUND: The outbreak of SARS-CoV-2 (coronavirus, COVID-19), declared a pandemic by the World Health Organization (WHO), is a global health problem with ever-increasing attributed deaths. Vital sign trends are routinely used to monitor patients with changes in these parameters often preceding an adverse event. Wearable sensors can measure vital signs continuously (e.g. heart rate, respiratory rate, temperature) remotely and can be utilised to recognise early clinical deterioration. METHODS: We describe the protocol for a pilot, proof-of-concept, observational study to be conducted in an engineered hotel near London airports, UK. The study is set to continue for the duration of the pandemic. Individuals arriving to London with mild symptoms suggestive of COVID-19 or returning from high-risk areas requiring quarantine, as recommended by the Public Health England, or healthcare professionals with symptoms suggestive of COVID-19 unable to isolate at home will be eligible for a wearable patch to be applied for the duration of their stay. Notifications will be generated should deterioration be detected through the sensor and displayed on a central monitoring hub viewed by nursing staff, allowing for trend deterioration to be noted. The primary objective is to determine the feasibility of remote monitoring systems in detecting clinical deterioration for quarantined individuals in a hotel. DISCUSSION: This trial should prove the feasibility of a rapidly implemented model of healthcare delivery through remote monitoring during a global pandemic at a hotel, acting as an extension to a healthcare trust. Potential benefits would include reducing infection risk of COVID-19 to healthcare staff, with earlier recognition of clinical deterioration through ambulatory, continuous, remote monitoring using a discrete wearable sensor. We hope our results can power future, robust randomised trials. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04337489 .

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