| Literature DB >> 34211829 |
Gabriela Lima de Melo Ghisi1, Zhiming Xu2, Xia Liu3, Ana Mola4, Robyn Gallagher5, Abraham Samuel Babu6, Colin Yeung7, Susan Marzolini1, John Buckley8, Paul Oh1, Aashish Contractor9, Sherry L Grace10,11.
Abstract
Background: We investigated impacts of COVID-19 on cardiac rehabilitation (CR) delivery around the globe, including virtual delivery, as well as effects on providers and patients.Entities:
Keywords: COVID-19; cardiac rehabilitation; global health; health services; healthcare providers; survey
Mesh:
Year: 2021 PMID: 34211829 PMCID: PMC8195253 DOI: 10.5334/gh.939
Source DB: PubMed Journal: Glob Heart ISSN: 2211-8160
CR availability by country (N = 111), survey response and COVID-19 burden.
| Number of CR programsa | CR density§,a | Number of survey responses (%) | Mean date of survey completion (DD/MMM/2020) | COVID cases at mean date of survey completionb | COVID restrictionsc | CR delivery interrupted n (%) | |
|---|---|---|---|---|---|---|---|
| Algeria | 1 | 2556 | 1 (100.0%) | 09/Jun | 10,265 | 86.57 | NR |
| Nigeria | 1 | 4480 | 8 (100.0%)* | 15/May | 5,162 | 80.56 | 5 (100.0%) |
| South Africa | 23 | 52 | 1 (4.3%) | 30/Apr | 5,350 | 87.96 | 1 (100.0%) |
| Argentina | 23 | 3 | 1 (4.3%) | 26/Apr | 3,767 | 98.15 | NR |
| Barbados | 1 | 13 | 2 (100.0%)* | 14/May | 85 | 81.48 | 1 (100.0%) |
| Brazil | 75 | 98 | 27 (36.0%) | 11/May | 162,699 | 81.02 | 19 (100.0%) |
| Canada | 170 | 2 | 39 (22.9%) | 12/May | 69,981 | 70.83 | 18 (64.3%) |
| Chile | 10 | 23 | 12 (100.0%)* | 24/May | 65,393 | 78.24 | 10 (90.9%) |
| Colombia | 50 | 4 | 16 (32.0%) | 29/Apr | 5,949 | 90.74 | 12 (92.3%) |
| Costa Rica | 6 | 12 | 9 (100.0%)* | 04/May | 739 | 72.22 | 3 (60.0%) |
| Cuba | 8 | 35 | 1 (12.5%) | 25/Apr | 1,285 | 83.33 | 1 (100.0%) |
| Ecuador | 5 | 29 | 1 (20.0%) | 11/May | 19,559 | 86.11 | 1 (100.0%) |
| Honduras | 2 | 274 | 3 (100.0%)* | 08/May | 1,685 | 100.0 | 0 (0.0%) |
| Mexico | 59 | 27 | 4 (6.8%) | 04/May | 23,471 | 82.41 | 4 (100.0%) |
| Paraguay | 3 | 25 | 3 (100.0%) | 20/May | 829 | 94.44 | 2 (100.0%) |
| Peru | 10 | 20 | 2 (20.0%) | 11/May | 67,307 | 92.59 | 2 (100.0%) |
| USA | 2685† | 3 | 414 (15.4%) | 23/May | 1,60 million | 72.69 | 238 (85.0%) |
| Uruguay | 12 | 4 | 1 (8.3%) | 20/May | 738 | 61.11 | 1 (100.0%) |
| Bahrain | 1 | 8 | 2 (100.0%)* | 19/May | 7,184 | 75.00 | 2 (100.0%) |
| Iran | 34 | 15 | 5 (14.7%) | 30/Apr | 93,657 | 56.48 | 3 (75.0%) |
| Kuwait | 1 | 31 | 1 (100.0%) | 01/Jun | 27,043 | 84.26 | 1 (100.0%) |
| Morocco | 1 | 635 | 1 (100.0%) | 08/May | 5,548 | 93.52 | 1 (100.0%) |
| Pakistan | 4 | 104 | 1 (25.0%) | 27/Apr | 13,328 | 89.81 | 1 (100.0%) |
| Qatar | 1 | 37 | 1 (100.0%) | 07/Jun | 67,195 | 83.33 | 1 (100.0%) |
| Saudi Arabia | 1 | 335 | 2 (100.0%)* | 26/May | 74,795 | 91.67 | 0 (0.0%) |
| Tunisia | 1 | 335 | 1 (100.0%) | 24/Apr | 918 | 90.74 | NR |
| Austria | 7† | 6 | 7 (100.0%) | 28/Apr | 15,256 | 78.70 | 7 (100.0%) |
| Belarus | 5 | 59 | 1 (20.0%) | 06/Jun | 46,868 | 13.89 | 1 (100.0%) |
| Bosnia and Herzegovina | 1 | 10 | 1 (100.0%) | 09/May | 2,070 | 90.74 | 0 (0.0%) |
| Croatia | 3 | 9 | 3 (100.0%) | 15/May | 2,221 | 70.37 | 3 (100.0%) |
| Czech Republic | 15 | 22 | 3 (20.0%) | 10/May | 8,095 | 54.63 | 2 (66.7%) |
| Denmark | 35 | 3 | 1 (2.9%) | 08/Jun | 11,948 | 62.96 | 1 (100.0%) |
| Estonia | 2 | 37 | 2 (100.0%) | 06/May | 1,711 | 75.00 | 1 (100.0%) |
| Finland | 25 | 11 | 1 (4.0%) | 27/Apr | 4,576 | 57.41 | 1 (100.0%) |
| France | 130 | 4 | 22 (16.9%) | 09/Jun | 154,188 | 65.74 | 3 (60.0%) |
| Georgia | 17 | 2 | 7 (41.2%) | 06/May | 604 | 96.30 | 5 (83.3%) |
| Greece | 4 | 153 | 1 (25.0%) | 26/Apr | 2,506 | 84.26 | 1 (100.0%) |
| Hungary | 33 | 4 | 12 (36.4%) | 11/May | 3,284 | 62.96 | 7 (77.8%) |
| Ireland | 37 | 1 | 33 (89.2%) | 08/May | 22,385 | 90.74 | 27 (96.4%) |
| Israel | 22 | 1 | 2 (9.1%) | 02/May | 16,101 | 84.26 | 1 (100.0%) |
| Italy | 221 | 5 | 12 (5.4%) | 05/May | 211,938 | 62.96 | 7 (87.5%) |
| Lithuania | 25 | 1 | 1 (4.0%) | 29/Apr | 1,344 | 77.78 | 1 (100.0%) |
| Malta | 1 | 2 | 1 (100.0%) | 28/Apr | 450 | NR | 1 (100.0%) |
| Moldova | 1 | 53 | 2 (100.0%)* | 09/Jun | 9,807 | 80.56 | 0 (0.0%) |
| Netherlands | 90 | 2 | 2 (2.2%) | 29/Apr | 38,416 | 79.63 | 0 (0.0%) |
| Norway | 35 | 41 | 2 (5.7%) | 10/May | 8,069 | 64.81 | 2 (100.0%) |
| Portugal | 23 | 16 | 3 (13.0%) | 03/May | 25,190 | 87.96 | 3 (100.0%) |
| Romania | 3 | 17 | 1 (33.3%) | 26/Apr | 10,635 | 87.04 | 1 (100.0%) |
| Serbia | 2 | 13 | 3 (100.0%)* | 13/May | 10,243 | 93.52 | 2 (100.0%) |
| Slovak Republic | 7 | 21 | 1 (14.3%) | 10/May | 1,455 | 73.15 | 1 (100.0%) |
| Slovenia | 2 | 37 | 3 (100.0%)* | 14/May | 1,464 | 53.24 | 2 (100.0%) |
| Spain | 87 | 17 | 5 (5.7%) | 02/May | 217,804 | 85.19 | 4 (100.0%) |
| Sweden | 69 | 5 | 38 (55.1%) | 28/May | 35,088 | 46.30 | 13 (68.4%) |
| Turkey | 10 | 97 | 3 (30.0%) | 01/May | 120,204 | 75.93 | 3 (100.0%) |
| United Kingdom (includes Guernsey) | 365 | – | 59 (16.2%) | 08/May | 206,715 | 75.93 | 20 (48.8%) |
| England | 266 | 2 | 41 (15.4%) | 10/May | 138,759 | – | – |
| Guernsey | NR | NR | 1 (NR) | 28/Apr | 247 | – | – |
| Northern Ireland | 13 | 3 | 2 (15.4%) | 27/Apr | 3,374 | – | – |
| Scotland | 69 | 1 | 9 (13.0%) | 12/May | 13,763 | – | – |
| Wales | 17 | 2 | 6 (35.3%) | 30/Apr | 10,362 | – | – |
| Bangladesh | 1 | 2046 | 1 (100.0%) | 15/May | 18,863 | 89.81 | 0 (0.0%) |
| India | 23 | 360 | 44 (100.0%)* | 21/May | 112,359 | 79.17 | 19 (90.5%) |
| Indonesia | 13 | 51 | 4 (30.8%) | 01/May | 10,118 | 80.09 | 3 (75.0%) |
| Nepal | 1 | 22 | 2 (100.0%)* | 05/Jun | 2,634 | 92.59 | 1 (100.0%) |
| Thailand | 5 | 200 | 2 (40.0%) | 06/Jun | 3,104 | 57.41 | 1 (100.0%) |
| Australia | 314 | 1 | 69 (22.0%) | 07/May | 6,875 | 69.44 | 30 (53.6%) |
| Brunei Darussalam | 2 | 3 | 1 (50.0%) | 22/May | 141 | 52.78 | 1 (100.0%) |
| China | 216 | 44 | 53 (24.5%) | 03/Jun | 84,159 | 78.24 | 25 (48.1%) |
| Japan | 325 | 5 | 1 (0.3%) | 31/May | 16,851 | 31.48 | NR |
| Malaysia | 6 | 58 | 5 (83.3%) | 14/May | 6,779 | 69.44 | 3 (100.0%) |
| New Zealand | 43 | 2 | 27 (62.8%) | 14/May | 1,147 | 36.11 | 20 (87.0%) |
| Philippines | 10 | 39 | 9 (90.0%) | 11/May | 10,794 | 96.30 | 8 (100.0%) |
| Singapore | 7 | 5 | 8 (100.0%)* | 05/May | 18,778 | 85.19 | 4 (100.0%) |
| South Korea | 17 | 22 | 8 (47.1%) | 13/May | 10,962 | 43.52 | 0 (0.0%) |
| Taiwan | 35 | 7 | 19 (54.3%) | 05/May | 438 | 27.78 | 2 (16.7%) |
Note: Valid frequency and percentage shown.
NR, not reported; USA, United States of America; CR, cardiac rehabilitation; COVID-19, coronavirus disease 2019.
– not applicable.
a As per ICCPR’s Global CR Audit [26].
b Information retrieved from the website https://ourworldindata.org/.
c Government Response Stringency Index ranges from 0 to 100, with 100 = strictest responses.
* Number of respondents surpassed the number of CR programs previously identified.
† Received updated information regarding number of programs in country since ICCPR’s global audit.
§ Represents number of CR spots available per year per incident ischemic heart disease patient (higher numbers represent worse density; i.e., 1 CR ‘spot’ per n patients).
‡ 16 respondents did not identify which country they are from.
° Average date of survey completion.
Cardiac rehabilitation program adaptations due to COVID-19 by World Health Organization region.
| WHO region | Total | ||||||
|---|---|---|---|---|---|---|---|
| Africa | Americas | Eastern Mediterranean | Europe | South-East Asian | Western Pacific | ||
| Reducing some elements offered | 3 (30.0%) | 110 (20.6%) | 3 (21.4%) | 57 (24.6%) | 10 (18.9%) | 43 (27.0%) | 228 (19.5%) |
| Only treating existing patients | 2 (33.3%) | 100 (41.3%) | 4 (57.1%) | 51 (46.8%) | 14 (63.6%) | 29 (33.3%) | 202 (17.3%) |
| Deferring graduation until post-program assessments can be completed | 2 (20.0%) | 71 (13.3%) | 2 (14.3%) | 21 (9.1%) | 3 (5.7%) | 19 (12.3%) | 120 (10.3%) |
| Shortening the program duration | 3 (30.0%) | 46 (8.6%) | 1 (7.1%) | 18 (7.8%) | 4 (7.5%) | 22 (14.1%) | 95 (8.2%) |
| Graduating patients more quickly | 2 (20.0%) | 57 (10.7%) | 1 (7.1%) | 7 (3.0%) | 2 (3.8%) | 14 (9.2%) | 85 (7.3%) |
| None of the above; we are adapting all elements to retain service levels. | 2 (20.0%) | 91 (17.0%) | 6 (42.9%) | 31 (13.4%) | 12 (22.6%) | 35 (21.6%) | 177 (15.1%) |
Note 1: Valid frequency and percentage shown; respondents instructed to check all that apply.
Note 2: Total does not sum the values from WHO regions because some respondents did not report their country.
WHO, World Health Organization.
CR components provided in the programs and that continued to be provided during the COVID-19 pandemic.
| Offered and continue to be offered during COVID-19 | Offered, but not during COVID-19 | Never offered | |
|---|---|---|---|
| Initial assessment | 371 (45.3%) | 390 (47.6%) | 58 (7.1%) |
| Individual consultation with a doctor or nurse | 356 (44.0%) | 335 (41.4%) | 118 (14.6%) |
| Exercise stress test | 144 (18.3%) | 288 (36.5%) | 357 (45.2%) |
| Other functional capacity test | 166 (20.9%) | 438 (55.2%) | 189 (23.8%) |
| Exercise prescription | 375 (46.0%) | 386 (47.3%) | 55 (6.7%) |
| Supervised exercise training | 208 (25.5%) | 521 (63.9%) | 86 (10.6%) |
| Resistance training | 224 (27.9%) | 480 (59.8%) | 99 (12.3%) |
| Patient education | 445 (54.4%) | 331 (40.5%) | 42 (5.1%) |
| Management of cardiovascular risk factors | 436 (54.6%) | 320 (40.1%) | 42 (5.3%) |
| Prescription/titration of secondary prevention medications | 271 (33.9%) | 250 (31.3%) | 278 (34.8%) |
| Nutrition counseling | 352 (43.4%) | 377 (46.5%) | 82 (10.1%) |
| Psychological counseling | 298 (37.3%) | 301 (37.7%) | 199 (24.9%) |
| Smoking cessation sessions/classes | 199 (25.1%) | 344 (43.3%) | 251 (31.6%) |
| Sexual counselling | 134 (17.2%) | 219 (28.2%) | 424 (54.6%) |
| Vocational counseling/support for return-to-work | 166 (21.3%) | 238 (30.6%) | 374 (48.1%) |
| Stress management/Relaxation techniques | 260 (32.6%) | 370 (46.4%) | 168 (21.1%) |
| Alternative forms of exercise (e.g., yoga, dance, or tai chi) | 94 (12.1%) | 174 (22.4%) | 508 (65.5%) |
| Inclusion of family/informal caregivers | 179 (22.5%) | 465 (58.6%) | 150 (18.9%) |
| End of program re-assessment | 245 (30.4%) | 449 (55.7%) | 112 (13.9%) |
| Communication of patient assessment results with their primary care provider | 322 (40.5%) | 342 (43.0%) | 132 (16.6%) |
| Follow-up after outpatient program | 198 (25.3%) | 294 (37.5%) | 292 (37.2%) |
| Maintenance program | 147 (18.7%) | 404 (51.3%) | 236 (30.0%) |
| Other (e.g., telephone sessions, mindfulness sessions) | 36 (10.8%) | 30 (9.0%) | 268 (22.2%) |
Note: Valid frequency and percentage shown.
CR, cardiac rehabilitation.
Alternative models of CR delivery.
| Yes, before COVID-19 | Yes, during COVID-19 | No | |
|---|---|---|---|
| Reimbursement of alternative models | 102 (12.7%) | 67 (8.3%) | 636 (79.0%) |
| Alternative models offered | 150 (18.5%) | 172 (21.2%) | 488 (60.2%) |
| Proportion of patients served in remote model | 16.5 ± 24.5% | 69.0 ± 37.2% | n/a |
| Perceive program has sufficient capacity to meet need/demand for remote delivery | 142 (49.1%) | 155 (54.0%) | 121 (42.2%) |
| Forms of Communication | |||
| Phone | 178 (62.2%) | 96 (33.6%) | 12 (4.2%) |
| 128 (46.9%) | 88 (32.2%) | 57 (20.9%) | |
| Internet webpage | 104 (38.4%) | 99 (36.5%) | 68 (25.1%) |
| Text messages | 93 (34.8%) | 42 (15.7%) | 132 (49.4%) |
| Smartphone app | 52 (20.6%) | 67 (26.6%) | 133 (52.8%) |
| Webcam/videoconference (e.g., education sessions) | 37 (14.2%) | 105 (40.4%) | 118 (45.4%) |
| Other | 14 (15.6%) | 6 (6.7%) | 70 (77.8%) |
Note: frequency and percentage or mean and standard deviation shown.
n/a = not applicable; CR = cardiac rehabilitation.
COVID-19 impacts by World Health Organization region.
| WHO region | Total | ||||||
|---|---|---|---|---|---|---|---|
| Africa | Americas | Eastern Mediterranean | Europe | South-East Asia | Western Pacific | ||
| Program has had suspected or positive COVID-19 cases | 3 (50.0%) | 47 (12.9%) | 5 (55.6%) | 32 (20.6%) | 3 (10.7%) | 13 (8.0%) | 106 (14.4%) |
| Restrictions on staff work, travel, or home life | 4 (66.7%) | 251 (68.0%) | 9 (81.8%) | 98 (62.0%) | 17 (58.6%) | 94 (57.3%) | 481 (64.3%) |
| Concern about delivering CR due to lack of PPE | 5 (83.3%) | 71 (19.5%) | 2 (18.2%) | 45 (28.8%) | 15 (51.7%) | 44 (27.2%) | 182 (24.6%) |
| Felt need to work despite perceived risk for fear of losing job or pay | 4 (66.7%) | 149 (41.0%) | 2 (18.2%) | 43 (27.9%) | 12 (41.4%) | 63 (38.2%) | 276 (37.3%) |
| No paid sick leave | 1 (16.7%) | 74 (20.7%) | 3 (27.3%) | 15 (9.7%) | 12 (41.4%) | 45 (27.3%) | 150 (20.4%) |
| Institution giving staff information so can perform duties safely | 6 (100.0%) | 335 (93.1%) | 10 (100.0%) | 143 (92.9%) | 29 (100.0%) | 163 (98.8%) | 696 (94.6%) |
| Staff Changes | |||||||
| Re-deployed | 4 (40.0%) | 203 (37.9%) | 7 (50.0%) | 87 (37.5%) | 5 (9.4%) | 41 (25.6%) | 353 (30.2%) |
| Reduced hours | 4 (40.0%) | 163 (30.5%) | 4 (28.6%) | 16 (6.9%) | 4 (7.5%) | 21 (13.5%) | 215 (18.5%) |
| Some staff have had to practice somewhat outside their scope | 3 (30.0%) | 80 (15.0%) | 7 (50.0%) | 41 (17.7%) | 4 (7.5%) | 21 (13.5%) | 159 (13.7%) |
| Laid off temporarily | 1(10.0%) | 96 (17.9%) | 4 (28.6%) | 21 (9.1%) | 4 (7.5%) | 12 (7.8%) | 138 (11.9%) |
| Pay reductions | 3 (30.0%) | 36 (6.7%) | 4 (28.6%) | 10 (4.3%) | 5 (9.4%) | 13 (8.2%) | 71 (6.1%) |
| Permanently let go | 1 (10.0%) | 14 (2.6%) | 0 (0.0%) | 6 (2.6%) | 1 (1.9%) | 2 (1.0%) | 24 (2.1%) |
| Other | 0 (0.0%) | 24 (4.5%) | 0 (0.0%) | 8 (3.4%) | 2 (3.8%) | 9 (6.0%) | 43 (3.7%) |
Note 1: Frequency and valid percentage shown.
Note 2: Total does not sum the values from WHO regions because some respondents have not reported their countries.
WHO, World Health Organization; PPE, personal protective equipment.
Figure 1Psychological impacts on CR staff due to COVID-19.
Note: Other feelings included anger, fear, frustration, exhaustion, sadness, stress.
Figure 2Perceived risk in contacting COVID-19 through their CR work by country.
Figure 3Factors that respondents perceive should form the basis for resumption of face-to-face CR services given COVID-19.
Note: respondents instructed to check all that apply.