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Nocturnal digital surveillance in aged populations and its effects on health, welfare and social care provision: a systematic review
BACKGROUND: Nocturnal digital surveillance technologies are being widely implemented as interventions for remotely monitoring elderly populations, and often replace person-based surveillance. Such interventions are often placed in care institutions or in the home, and monitored by qualified personne...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241531/ https://www.ncbi.nlm.nih.gov/pubmed/34187472 http://dx.doi.org/10.1186/s12913-021-06624-9 |
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author | Richardson, Matt X. Ehn, Maria Stridsberg, Sara Landerdahl Redekop, Ken Wamala-Andersson, Sarah |
author_facet | Richardson, Matt X. Ehn, Maria Stridsberg, Sara Landerdahl Redekop, Ken Wamala-Andersson, Sarah |
author_sort | Richardson, Matt X. |
collection | PubMed |
description | BACKGROUND: Nocturnal digital surveillance technologies are being widely implemented as interventions for remotely monitoring elderly populations, and often replace person-based surveillance. Such interventions are often placed in care institutions or in the home, and monitored by qualified personnel or relatives, enabling more rapid and/or frequent assessment of the individual’s need for assistance than through on-location visits. This systematic review summarized the effects of these surveillance technologies on health, welfare and social care provision outcomes in populations ≥ 50 years, compared to standard care. METHOD: Primary studies published 2005–2020 that assessed these technologies were identified in 11 databases of peer-reviewed literature and numerous grey literature sources. Initial screening, full-text screening, and citation searching steps yielded the studies included in the review. The Risk of Bias and ROBINS-I tools were used for quality assessment of the included studies. RESULT: Five studies out of 744 identified records met inclusion criteria. Health-related outcomes (e.g. accidents, 2 studies) and social care outcomes (e.g. staff burden, 4 studies) did not differ between interventions and standard care. Quality of life and affect showed improvement (1 study each), as did economic outcomes (1 study). The quality of studies was low however, with all studies possessing a high to critical risk of bias. CONCLUSIONS: We found little evidence for the benefit of nocturnal digital surveillance interventions as compared to standard care in several key outcomes. Higher quality intervention studies should be prioritized in future research to provide more reliable evidence. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06624-9. |
format | Online Article Text |
id | pubmed-8241531 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82415312021-06-30 Nocturnal digital surveillance in aged populations and its effects on health, welfare and social care provision: a systematic review Richardson, Matt X. Ehn, Maria Stridsberg, Sara Landerdahl Redekop, Ken Wamala-Andersson, Sarah BMC Health Serv Res Research BACKGROUND: Nocturnal digital surveillance technologies are being widely implemented as interventions for remotely monitoring elderly populations, and often replace person-based surveillance. Such interventions are often placed in care institutions or in the home, and monitored by qualified personnel or relatives, enabling more rapid and/or frequent assessment of the individual’s need for assistance than through on-location visits. This systematic review summarized the effects of these surveillance technologies on health, welfare and social care provision outcomes in populations ≥ 50 years, compared to standard care. METHOD: Primary studies published 2005–2020 that assessed these technologies were identified in 11 databases of peer-reviewed literature and numerous grey literature sources. Initial screening, full-text screening, and citation searching steps yielded the studies included in the review. The Risk of Bias and ROBINS-I tools were used for quality assessment of the included studies. RESULT: Five studies out of 744 identified records met inclusion criteria. Health-related outcomes (e.g. accidents, 2 studies) and social care outcomes (e.g. staff burden, 4 studies) did not differ between interventions and standard care. Quality of life and affect showed improvement (1 study each), as did economic outcomes (1 study). The quality of studies was low however, with all studies possessing a high to critical risk of bias. CONCLUSIONS: We found little evidence for the benefit of nocturnal digital surveillance interventions as compared to standard care in several key outcomes. Higher quality intervention studies should be prioritized in future research to provide more reliable evidence. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06624-9. BioMed Central 2021-06-30 /pmc/articles/PMC8241531/ /pubmed/34187472 http://dx.doi.org/10.1186/s12913-021-06624-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Richardson, Matt X. Ehn, Maria Stridsberg, Sara Landerdahl Redekop, Ken Wamala-Andersson, Sarah Nocturnal digital surveillance in aged populations and its effects on health, welfare and social care provision: a systematic review |
title | Nocturnal digital surveillance in aged populations and its effects on health, welfare and social care provision: a systematic review |
title_full | Nocturnal digital surveillance in aged populations and its effects on health, welfare and social care provision: a systematic review |
title_fullStr | Nocturnal digital surveillance in aged populations and its effects on health, welfare and social care provision: a systematic review |
title_full_unstemmed | Nocturnal digital surveillance in aged populations and its effects on health, welfare and social care provision: a systematic review |
title_short | Nocturnal digital surveillance in aged populations and its effects on health, welfare and social care provision: a systematic review |
title_sort | nocturnal digital surveillance in aged populations and its effects on health, welfare and social care provision: a systematic review |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241531/ https://www.ncbi.nlm.nih.gov/pubmed/34187472 http://dx.doi.org/10.1186/s12913-021-06624-9 |
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