A Cost Evaluation of COVID-19 Remote Home Monitoring Services in England.


Journal

PharmacoEconomics - open
ISSN: 2509-4254
Titre abrégé: Pharmacoecon Open
Pays: Switzerland
ID NLM: 101700780

Informations de publication

Date de publication:
01 Jul 2024
Historique:
accepted: 12 05 2024
medline: 2 7 2024
pubmed: 2 7 2024
entrez: 1 7 2024
Statut: aheadofprint

Résumé

Remote home monitoring services emerged as critical components of health care delivery from NHS England during the COVID-19 pandemic, aiming to provide timely interventions and reduce health care system burden. Two types of service were offered: referral by community health services to home-based care to ensure the right people were admitted to the hospital at the right time (called COVID Oximetry@home, CO@h); and referral by hospital to support patients' transition from hospital to home (called COVID-19 Virtual Ward, CVW). The information collected for the oxygen levels and other symptoms was provided via digital means (technology-enabled) or over the phone (analogue-only submission mode). This study aimed to evaluate the costs of implementing remote home monitoring for COVID-19 patients across 26 sites in England during wave 2 of the pandemic. Understanding the operational and financial implications of these services from the NHS perspective is essential for effective resource allocation and service planning. We used a bottom-up costing approach at the intervention level to describe the costs of setting up and running the services. Twenty-six implementation sites reported the numbers of patients and staff involved in the service and other resources used. Descriptive statistics and multivariable regression analysis were used to assess cost variations and quantify the relationship between the number of users and costs while adjusting for other service characteristics. The mean cost per patient monitored was lower in the CO@h service compared with the CVW service (£527 vs £599). The mean cost per patient was lower for implementation sites using technology-enabled and analogue data submission modes compared with implementation sites using analogue-only modes for both CO@h (£515 vs £561) and CVW (£584 vs £612) services. The number of patients enrolled in the services and the service type significantly affected the mean cost per patient. Our analysis provides a framework for evaluating the costs of similar services in the future and shows that the implementation of these services benefit from the employment of tech-enabled data submission modes.

Sections du résumé

BACKGROUND BACKGROUND
Remote home monitoring services emerged as critical components of health care delivery from NHS England during the COVID-19 pandemic, aiming to provide timely interventions and reduce health care system burden. Two types of service were offered: referral by community health services to home-based care to ensure the right people were admitted to the hospital at the right time (called COVID Oximetry@home, CO@h); and referral by hospital to support patients' transition from hospital to home (called COVID-19 Virtual Ward, CVW). The information collected for the oxygen levels and other symptoms was provided via digital means (technology-enabled) or over the phone (analogue-only submission mode). This study aimed to evaluate the costs of implementing remote home monitoring for COVID-19 patients across 26 sites in England during wave 2 of the pandemic. Understanding the operational and financial implications of these services from the NHS perspective is essential for effective resource allocation and service planning.
METHODS METHODS
We used a bottom-up costing approach at the intervention level to describe the costs of setting up and running the services. Twenty-six implementation sites reported the numbers of patients and staff involved in the service and other resources used. Descriptive statistics and multivariable regression analysis were used to assess cost variations and quantify the relationship between the number of users and costs while adjusting for other service characteristics.
RESULTS RESULTS
The mean cost per patient monitored was lower in the CO@h service compared with the CVW service (£527 vs £599). The mean cost per patient was lower for implementation sites using technology-enabled and analogue data submission modes compared with implementation sites using analogue-only modes for both CO@h (£515 vs £561) and CVW (£584 vs £612) services. The number of patients enrolled in the services and the service type significantly affected the mean cost per patient.
CONCLUSIONS CONCLUSIONS
Our analysis provides a framework for evaluating the costs of similar services in the future and shows that the implementation of these services benefit from the employment of tech-enabled data submission modes.

Identifiants

pubmed: 38951349
doi: 10.1007/s41669-024-00498-3
pii: 10.1007/s41669-024-00498-3
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : National Institute for Health and Care Research
ID : 16/138/17
Organisme : National Institute for Health and Care Research
ID : 16/138/31

Informations de copyright

© 2024. The Author(s).

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Auteurs

Sonila M Tomini (SM)

Global Business School for Health, University College London, London, UK. s.tomini@ucl.ac.uk.

Efthalia Massou (E)

Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.

Nadia E Crellin (NE)

The Nuffield Trust, 59 New Cavendish St, London, W1G 7LP, UK.

Naomi J Fulop (NJ)

Department of Applied Health Research, University College London, Gower Street, London, WC1E 6BT, UK.

Theo Georghiou (T)

The Nuffield Trust, 59 New Cavendish St, London, W1G 7LP, UK.

Lauren Herlitz (L)

NIHR Children and Families Policy Research Unit, Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.

Ian Litchfield (I)

Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, 40 Edgbaston Park Rd, Birmingham, B15 2RT, UK.

Pei Li Ng (PL)

Department of Applied Health Research, University College London, Gower Street, London, WC1E 6BT, UK.

Chris Sherlaw-Johnson (C)

The Nuffield Trust, 59 New Cavendish St, London, W1G 7LP, UK.

Manbinder S Sidhu (MS)

Health Services Management Centre, School of Social Policy, University of Birmingham, 40 Edgbaston Park Road, Birmingham, B15 2RT, UK.

Holly Walton (H)

Department of Applied Health Research, University College London, Gower Street, London, WC1E 6BT, UK.

Stephen Morris (S)

Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.

Classifications MeSH