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Descriptive Analysis of a Telephone Based Community Monitoring Service for COVID-19
The coronavirus disease (COVID-19) pandemic has required health services to rapidly respond to the needs of people diagnosed with the virus. Over 80% of people diagnosed with COVID-19 experience a mild illness and there is a need for community management to support these people in their home. In thi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8112833/ https://www.ncbi.nlm.nih.gov/pubmed/33977436 http://dx.doi.org/10.1007/s10900-021-00996-z |
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author | Clarke, A. C. Hull, S. Semciw, A. I. Jessup, R. L. Campbell, D. Fabri, A. M. Tully, N. Bramston, C. Hayes, J. |
author_facet | Clarke, A. C. Hull, S. Semciw, A. I. Jessup, R. L. Campbell, D. Fabri, A. M. Tully, N. Bramston, C. Hayes, J. |
author_sort | Clarke, A. C. |
collection | PubMed |
description | The coronavirus disease (COVID-19) pandemic has required health services to rapidly respond to the needs of people diagnosed with the virus. Over 80% of people diagnosed with COVID-19 experience a mild illness and there is a need for community management to support these people in their home. In this paper we present, a telephone based COVID-19 community monitoring service developed in an Australian public health network, and we describe the rapid implementation of the service and the demographic and clinical characteristics of those enrolled. A retrospective mixed methods evaluation of the COVID-19 community monitoring service using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework. Eight hundred and fifty COVID-19 positive patients were enrolled, 54% female, 45% male, mean age 34 years SD 17. Four hundred and nine (48%) patients were born outside Australia. Among the 850 patients, 305 (36%) were classified as having a high risk of serious illness from COVID-19. The most prevalent risk factors were cardiovascular disease (37%), lung disease (30%) and age over 60 years (26%). The most common reported ongoing symptoms were fatigue (55%), breathing issues (26%) and mental health issues such as low mood (19%). There were no deaths in patients that participated in the service. The process of risk stratification undertaken with telephone triage was effective in determining risk of prolonged illness from COVID-19. Telephone monitoring by trained health professionals has a strong potential in the effective management of patients with a mild COVID-19 illness. |
format | Online Article Text |
id | pubmed-8112833 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-81128332021-05-12 Descriptive Analysis of a Telephone Based Community Monitoring Service for COVID-19 Clarke, A. C. Hull, S. Semciw, A. I. Jessup, R. L. Campbell, D. Fabri, A. M. Tully, N. Bramston, C. Hayes, J. J Community Health Original Paper The coronavirus disease (COVID-19) pandemic has required health services to rapidly respond to the needs of people diagnosed with the virus. Over 80% of people diagnosed with COVID-19 experience a mild illness and there is a need for community management to support these people in their home. In this paper we present, a telephone based COVID-19 community monitoring service developed in an Australian public health network, and we describe the rapid implementation of the service and the demographic and clinical characteristics of those enrolled. A retrospective mixed methods evaluation of the COVID-19 community monitoring service using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework. Eight hundred and fifty COVID-19 positive patients were enrolled, 54% female, 45% male, mean age 34 years SD 17. Four hundred and nine (48%) patients were born outside Australia. Among the 850 patients, 305 (36%) were classified as having a high risk of serious illness from COVID-19. The most prevalent risk factors were cardiovascular disease (37%), lung disease (30%) and age over 60 years (26%). The most common reported ongoing symptoms were fatigue (55%), breathing issues (26%) and mental health issues such as low mood (19%). There were no deaths in patients that participated in the service. The process of risk stratification undertaken with telephone triage was effective in determining risk of prolonged illness from COVID-19. Telephone monitoring by trained health professionals has a strong potential in the effective management of patients with a mild COVID-19 illness. Springer US 2021-05-11 2021 /pmc/articles/PMC8112833/ /pubmed/33977436 http://dx.doi.org/10.1007/s10900-021-00996-z Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Clarke, A. C. Hull, S. Semciw, A. I. Jessup, R. L. Campbell, D. Fabri, A. M. Tully, N. Bramston, C. Hayes, J. Descriptive Analysis of a Telephone Based Community Monitoring Service for COVID-19 |
title | Descriptive Analysis of a Telephone Based Community Monitoring Service for COVID-19 |
title_full | Descriptive Analysis of a Telephone Based Community Monitoring Service for COVID-19 |
title_fullStr | Descriptive Analysis of a Telephone Based Community Monitoring Service for COVID-19 |
title_full_unstemmed | Descriptive Analysis of a Telephone Based Community Monitoring Service for COVID-19 |
title_short | Descriptive Analysis of a Telephone Based Community Monitoring Service for COVID-19 |
title_sort | descriptive analysis of a telephone based community monitoring service for covid-19 |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8112833/ https://www.ncbi.nlm.nih.gov/pubmed/33977436 http://dx.doi.org/10.1007/s10900-021-00996-z |
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