Exploring views and experiences of how infections are detected and managed in practice by nurses, care workers and manager's in nursing homes in England and Sweden: a survey protocol.
Betacoronavirus
/ isolation & purification
COVID-19
Communicable Disease Control
/ methods
Coronavirus Infections
/ diagnosis
Cost-Benefit Analysis
Cross-Sectional Studies
England
/ epidemiology
Health Knowledge, Attitudes, Practice
Health Personnel
/ standards
Hospitalization
Humans
Medical Overuse
/ prevention & control
Nursing Homes
/ statistics & numerical data
Pandemics
Patient Care Management
/ economics
Pneumonia, Viral
/ diagnosis
Practice Management
/ economics
Research Design
SARS-CoV-2
Skilled Nursing Facilities
/ statistics & numerical data
Sweden
/ epidemiology
general medicine (see internal medicine)
international health services
quality in health care
Journal
BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874
Informations de publication
Date de publication:
01 10 2020
01 10 2020
Historique:
entrez:
2
10
2020
pubmed:
3
10
2020
medline:
21
10
2020
Statut:
epublish
Résumé
In order to avoid unnecessary hospital admission and associated complications, there is an urgent need to improve the early detection of infection in nursing home residents. Monitoring signs and symptoms with checklists or aids called decision support tools may help nursing home staff to detect infection in residents, particularly during the current COVID-19 pandemic.We plan to conduct a survey exploring views and experiences of how infections are detected and managed in practice by nurses, care workers and managers in nursing homes in England and Sweden. An international cross-sectional descriptive survey, using a pretested questionnaire, will be used to explore nurses, care workers and managers views and experiences of how infections are detected and managed in practice in nursing homes. Data will be analysed descriptively and univariate associations between personal and organisational factors explored. This will help identify important factors related to awareness, knowledge, attitudes, belief and skills likely to affect future implementation of a decision support tool for the early detection of infection in nursing home residents. This study was approved using the self-certification process at the University of Surrey and Linköping University ethics committee (Approval 2018/514-32) in 2018. Study findings will be disseminated through community/stakeholder/service user engagement events in each country, publication in academic peer-reviewed journals and conference presentations. A LAY summary will be provided to participants who indicate they would like to receive this information.This is the first stage of a plan of work to revise and evaluate the Early Detection of Infection Scale (EDIS) tool and its effect on managing infections and reducing unplanned hospital admissions in nursing home residents. Implementation of the EDIS tool may have important implications for the healthcare economy; this will be explored in cost-benefit analyses as the work progresses.
Identifiants
pubmed: 33004397
pii: bmjopen-2020-038390
doi: 10.1136/bmjopen-2020-038390
pmc: PMC7534694
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e038390Informations de copyright
© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: None declared.
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