| Literature DB >> 35544365 |
Zhaoli Dai1,2, Gorkem Sezgin1, Julie Li1, Guilherme S Franco1, Precious McGuire3, Shirmilla Datta3, Christopher Pearce4, Adam McLeod4, Andrew Georgiou1.
Abstract
INTRODUCTION: Our earlier analysis during the COVID-19 surges in 2020 showed a reduction in general practitioner (GP) in-person visits to residential aged care facilities (RACFs) and increased use of telehealth. This study assessed how sociodemographic characteristics affected telehealth utilisation.Entities:
Keywords: COVID-19; Telehealth; nursing homes; primary care; residential aged care facilities; telemedicine
Year: 2022 PMID: 35544365 PMCID: PMC9096176 DOI: 10.1177/1357633X221094406
Source DB: PubMed Journal: J Telemed Telecare ISSN: 1357-633X Impact factor: 6.344
Figure 1.Study sample selection.
Figure 2.Proportion for each consultation type in general practice consultations in residential aged care facilities from March 2020 to August 2021.
Demographic characteristics of aged care residents by year during the study period of March 2020 to August 2021.
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| n = 21,987 | n = 22,712 | |||
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| 65 – 69 | 859 | 3.9 | 858 | 3.8 |
| 70 – 74 | 1603 | 7.3 | 1708 | 7.5 |
| 75 – 79 | 2331 | 10.6 | 2476 | 10.9 |
| 80 – 84 | 3676 | 16.7 | 3946 | 17.4 |
| 85 + | 13,518 | 61.5 | 13,724 | 60.4 |
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| Female | 14,343 | 65.2 | 14,832 | 65.3 |
| Male | 7644 | 34.8 | 7880 | 34.7 |
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| Not on pension | 4224 | 19.2 | 4701 | 20.7 |
| On pension | 17,763 | 80.8 | 18,011 | 79.3 |
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| Urban areas | 17,374 | 79.0 | 17,905 | 78.8 |
| Rural areas | 4613 | 21.0 | 4807 | 21.2 |
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| New South Wales | 5849 | 26.6 | 5873 | 25.9 |
| Victoria | 16,138 | 73.4 | 16,839 | 74.1 |
Odds ratios (95% confidence intervals) for the association between demographic characteristics and telehealth (phone and videoconferencing) utilisation during March 2020 to August 2021.
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| 2020 | 29.1 | Ref | Ref |
| 2021 | 21.0 | 0.63 (0.62, 0.64) | 0.67 (0.65, 0.68) |
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| 65-69 | 29.4 | Ref | Ref |
| 70 – 74 | 26.7 | 0.96 (0.90, 1.03) | 0.96 (0.9, 1.03) |
| 75 – 79 | 26.7 | 0.87 (0.82, 0.93) | 0.87 (0.82, 0.93) |
| 80 – 84 | 26.9 | 0.86 (0.81, 0.92) | 0.86 (0.81, 0.91) |
| 85 + | 24.3 | 0.70 (0.67, 0.75) | 0.70 (0.66, 0.74) |
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| Female | 25.3 | Ref | Ref |
| Male | 25.4 | 1.06 (1.04, 1.08) | 1.02 (1.0, 1.04) |
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| Not on pension | 26.8 | Ref | Ref |
| On pension | 25.0 | 1.16 (1.12, 1.19) | 1.14 (1.10, 1.17) |
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| Urban | 24.8 | Ref | Ref |
| Rural | 27.1 | 1.31 (1.20, 1.43) | 1.72 (1.57, 1.90) |
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| NSW | 22.8 | Ref | Ref |
| Victoria | 26.1 | 1.30 (0.79, 1.53) | 1.08 (0.77,.151) |
Analyses were based on 238,812 monthly general practice consultation records
Univariate model without adjusting for any other covariates
Multivariate model after adjusting for Year (2020, 2021), Month, age-groups (65-69 y, 70-74 y, 75-79 y, 80-84 y, and 85 y + ), sex (female, male), socioeconomic status based on postcodes for aged care facilities by quintile, pension status (yes, no), region (urban, rural areas), and state (New South Wales, Victoria).
Odds ratios (95% confidence intervals) for the association between demographic characteristics and videoconference consultations during March 2020 to August 2021.
| Videoconferencing use (%) | Univariate model [ | Multivariate model [ | |
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| 7.9 | Ref | Ref |
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| 3.5 | 0.43 (0.39, 0.47) | 0.37 (0.33, 0.41) |
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| 5.6 | Ref | Ref | |
| 4.6 | 0.84 (0.65, 1.08) | 0.8 (0.61, 1.03) | |
| 5.7 | 1.12 (0.88, 1.42) | 1.13 (0.89, 1.44) | |
| 6.1 | 1.04 (0.83, 1.31) | 1.03 (0.82, 1.29) | |
| 6.6 | 1.22 (0.99, 1.51) | 1.20 (0.97, 1.49) | |
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| 6.5 | Ref | Ref | |
| 5.7 | 0.91 (0.94, 0.99) | 0.94 (0.86, 1.02) | |
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| 5.4 | Ref | Ref | |
| 6.4 | 1.05 (0.86, 1.17) | 1.01 (0.90, 1.13) | |
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| 6.3 | Ref | Ref | |
| 6.0 | 0.46 (0.33, 0.63) | 0.41 (0.29, 0.57) | |
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| 3.5 | Ref | Ref | |
| Victoria | 7.0 | 1.28 (0.46, 2.44) | 1.49 (0.77, 2.9) |
Analysis was based on 60,444 monthly phone and videoconferencing consultations in general practice
Univariate model without adjusting for any other covariates
Multivariate model after adjusting for Year (2020, 2021), Month, age-groups (65-69 y, 70-74 y, 75-79 y, 80-84 y, and 85 y + ), sex (female, male), socioeconomic status based on postcodes for aged care facilities by quintile, pension status (yes, no), region (urban, rural areas), and state (New South Wales, Victoria).