| Literature DB >> 34819296 |
Nasir Wabe1, Judith Thomas2, Gorkem Sezgin2,3, Muhammad Kashif Sheikh3,4, Emma Gault5, Andrew Georgiou2.
Abstract
BACKGROUND: There has been a precipitous rise in telehealth use in general practice during the COVID-19 pandemic. Understanding differences between face-to-face and telehealth consulting is an important component for planning the future use of telehealth services beyond the pandemic. However, there is limited evidence on whether telehealth consulting impacts medication prescribing under pandemic circumstances. AIM: To compare medication prescribing in face-to-face consultations with telehealth during the COVID-19 pandemic in Australian general practice. DESIGN &Entities:
Keywords: COVID-19; general practice; telemedicine
Year: 2022 PMID: 34819296 PMCID: PMC8958736 DOI: 10.3399/BJGPO.2021.0132
Source DB: PubMed Journal: BJGP Open ISSN: 2398-3795
Figure 1.Participant selection flow chart, April–December 2020. aIndicates prescriptions not associated (linked) with the selected Medicare Benefit Scheme items for standard, chronic disease management, and mental health-related consultations. MH = mental health.
Figure 2.Risk-adjusted rate of prescribing at least one medication by month of GP consultation, April–December 2020. Risk-adjustment included patient level variables (age, sex, socioeconomic status, patient status, and the remoteness index)
Baseline characteristics of consultations, April–December 2020
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| Sex, Female | 4 684 918 (56.4) | 3 324 348 (62.7) | 8 009 266 (58.9) |
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| <40 | 3 342 444 (40.3) | 2 086 727 (39.3) | 5 429 171 (39.9) |
| 40–59 | 2 063 824 (24.9) | 1 420 669 (26.8) | 3 484 493 (25.6) |
| 60–74 | 1 714 115 (20.6) | 1 030 080 (19.4) | 2 744 195 (20.2) |
| ≥75 | 1 182 850 (14.2) | 767 507 (14.5) | 1 950 357 (14.3) |
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| 1 (most disadvantaged) | 932 407 (11.3) | 429 285 (8.1) | 1 361 692 (10.0) |
| 2 | 1 089 856 (13.2) | 559 819 (10.6) | 1 649 675 (12.2) |
| 3 | 1 101 025 (13.3) | 795 165 (15.0) | 1 896 190 (14.0) |
| 4 | 1 933 384 (23.3) | 1 292 530 (24.4) | 3 225 914 (23.8) |
| 5 (most advantaged) | 3 227 349 (39.0) | 2 216 393 (41.7) | 5 443 742 (40.1) |
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| Major cities | 7 417 738 (89.5) | 4 695 032 (88.7) | 12 112 770 (89.2) |
| Inner regional | 793 798 (9.6) | 560 362 (10.6) | 1 354 160 (10.0) |
| Outer regional or remote or very remote | 73 194 (0.9) | 38 290 (0.7) | 111 484 (0.8) |
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| Active | 7 646 925 (92.1) | 5 116 207 (96.4) | 12 763 132 (93.8) |
| Non-active | 656 308 (7.9) | 188 776 (3.6) | 845 084 (6.2) |
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| Victoria | 4 470 203 (53.8) | 3 764 927 (71.0) | 8 235 130 (60.5) |
| NSW | 3 833 030 (46.2) | 1 540 056 (29.0) | 5 373 086 (39.5) |
a≈0.2% missing data. IRSAD = Index of Relative Socioeconomic Advantage and Disadvantage. NSW = New South Wales.
Difference in medication prescribing between face-to-face and telehealth consultations, April–December 2020
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| Victoria | Face to face | 1 807 097 (40.4) | 4 470 203 | 5.4 | 1.28 (1.270 to 1.281) |
| Telehealth | 1 319 473 (35.0) | 3 764 927 | |||
| NSW | Face to face | 1 457 651 (38.0) | 3 833 030 | 9.9 | 1.62 (1.619 to 1.630) |
| Telehealth | 432 405 (28.1) | 1 540 056 | |||
| Overall | Face to face | 3 264 748 (39.3) | 8 303 233 | 6.3 | 1.38 (1.379 to 1.381) |
| Telehealth | 1 751 878 (33.0) | 5 304 983 | |||
aAdjusted for age, sex, socioeconomic status, patient status, remoteness, primary health network, and the state of the practice. NSW = New South Wales.
Difference in first-time medication prescribing between face-to-face and telehealth consultations, April–December 2020
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| Victoria | Face to face | 830 677 (18.6) | 4 470 203 | 7.9 | 1.93 (1.929 to 1.940) |
| Telehealth | 401 378 (10.7) | 3 764 927 | |||
| NSW | Face to face | 689 724 (18.0) | 3 833 030 | 9.2 | 2.33 (2.320 to 2.350) |
| Telehealth | 135 766 (8.8) | 1 540 056 | |||
| Overall | Face to face | 1 520 401 (18.3) | 8 303 233 | 8.2 | 2.03 (2.020 to 2.031) |
| Telehealth | 537 144 (10.1) | 5 304 983 | |||
aAdjusted for age, sex, socioeconomic status, patient status, remoteness, PHN, and the state of the practice. NSW = New South Wales.