Remote-by-Default Care in the COVID-19 Pandemic

NCT ID: NCT04435041

Last Updated: 2022-04-11

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

103 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-05-13

Study Completion Date

2022-02-28

Brief Summary

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18 month study, funded by ESRC COVID-19 research fund. The aim is to explore and support the rapid shift from face-to-face to remote (telephone and video) conversations in primary care. There are three components: a study of clinical interactions and decision making (micro); four locality-based organisational case studies of new models of care (meso); abd a a study of how digital innovation can support NHS infrastructure and vice versa (macro).

Detailed Description

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18 month study, funded by ESRC COVID-19 research fund. The aim is to explore and support the rapid shift from face-to-face to remote (telephone and video) conversations in primary care. There are three components: a study of clinical interactions and decision making (micro); four locality-based organisational case studies of new models of care (meso); abd a a study of how digital innovation can support NHS infrastructure and vice versa (macro). The methods are mainly qualitative (interviews, virtual ethnography, analysis of documents, micro-analysis of conversations) and are designed to inform action research.

Key deliverables:

At least two evidence-based assessment tools: qualitative (questions for remote assessment of breathlessness) and quantitative (a COVID-19-specific early warning score)

Transferable lessons about how to achieve rapid spread and scale-up, spread in real time through our extensive intersectoral networks

Strengthened infrastructure for supporting digital innovation in the NHS

Conditions

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COVID-19

Study Design

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Observational Model Type

OTHER

Study Time Perspective

OTHER

Study Groups

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Remote assessment tools

Qualitative methods: semi-structured interviews for approx 40 front line clinical practitioners

No interventions assigned to this group

RECAP early warning score

Development of disease specific early warning score, building on earlier work through literature review and NEWS2 score

No interventions assigned to this group

Implementation/Scale up case studies

Study of implementation and scale up of remote-by-default at four different UK sites

No interventions assigned to this group

Infrastructure strengthening

Theory and data driven change effort involving policymakers, regulators, professional bodies, industry, patients and citizens with a view to overcoming interacting issues impacting success of digital projects.

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

Willing and able to give informed consent for participation

Aged 18 years or above

Staff involved in delivering remote-by-default services in the frontline or 'back offices'

Patients/carers who have crossed paths with primary care services during the Covid pandemic.

Pharmacy case studies:

Staff involved in delivering remote pharmacist consultation services in the frontline or 'back offices'

Patients/carers who have crossed paths with community pharmacy primary care services during the COVID-19 pandemic.


Patients who have remote primary care consultation regarding symptoms associated with COVID-19 and their clinicians (based in Oxford/Thames Valley) who have agreed to participate in the study


Patients that have experienced self-reported 'long Covid' symptoms (for patient only focus groups)

Clinicians that have experienced self-reported 'long Covid' symptoms (for clinician only focus groups)

Exclusion Criteria

Patients or clinicians who are too ill to be interviewed

\-
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University of Plymouth

OTHER

Sponsor Role collaborator

Nuffield Trust

UNKNOWN

Sponsor Role collaborator

University of Oxford

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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University of Oxford

Oxford, , United Kingdom

Site Status

Countries

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United Kingdom

References

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Fiorentino F, Prociuk D, Espinosa Gonzalez AB, Neves AL, Husain L, Ramtale SC, Mi E, Mi E, Macartney J, Anand SN, Sherlock J, Saravanakumar K, Mayer E, de Lusignan S, Greenhalgh T, Delaney BC. An Early Warning Risk Prediction Tool (RECAP-V1) for Patients Diagnosed With COVID-19: Protocol for a Statistical Analysis Plan. JMIR Res Protoc. 2021 Oct 5;10(10):e30083. doi: 10.2196/30083.

Reference Type DERIVED
PMID: 34468322 (View on PubMed)

Ladds E, Rushforth A, Wieringa S, Taylor S, Rayner C, Husain L, Greenhalgh T. Persistent symptoms after Covid-19: qualitative study of 114 "long Covid" patients and draft quality principles for services. BMC Health Serv Res. 2020 Dec 20;20(1):1144. doi: 10.1186/s12913-020-06001-y.

Reference Type DERIVED
PMID: 33342437 (View on PubMed)

Greenhalgh T, Thompson P, Weiringa S, Neves AL, Husain L, Dunlop M, Rushforth A, Nunan D, de Lusignan S, Delaney B. What items should be included in an early warning score for remote assessment of suspected COVID-19? qualitative and Delphi study. BMJ Open. 2020 Nov 12;10(11):e042626. doi: 10.1136/bmjopen-2020-042626.

Reference Type DERIVED
PMID: 33184088 (View on PubMed)

Provided Documents

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Document Type: Study Protocol

View Document

Other Identifiers

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283196

Identifier Type: -

Identifier Source: org_study_id

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