| Literature DB >> 35616400 |
Michelle L Giles1, Jessica O'Bryan2, Margaret Angliss3, Sue Lee4, Sushena Krishnaswamy1,2.
Abstract
OBJECTIVE: The objective of this study was to determine the impact the COVID-19 pandemic had on the delivery of adult, maternal and childhood immunisation services in Australia in 2020 prior to the rollout of COVID-19 vaccines, and to understand the adaptations made at a service delivery level that may have contributed to the successful delivery of immunisation services during the first year of the pandemic.Entities:
Keywords: Australia; COVID-19; immunisation; service; vaccine
Mesh:
Substances:
Year: 2022 PMID: 35616400 PMCID: PMC9348466 DOI: 10.1111/1753-6405.13260
Source DB: PubMed Journal: Aust N Z J Public Health ISSN: 1326-0200 Impact factor: 3.755
Participant details. Numbers are frequency (%).
|
Total |
ACT |
NSW |
NT |
QLD |
SA |
TAS |
VIC |
WA |
Missing | |
|---|---|---|---|---|---|---|---|---|---|---|
|
|
850 |
30 (4) |
396 (46) |
6 (1) |
60 (7) |
24 (3) |
80 (9) |
105 (12) |
74 (9) |
75 (9) |
|
|
775 |
30 |
395 |
6 |
60 |
24 |
80 |
105 |
74 |
1 |
|
General Practitioner |
73 (9) |
1 (3) |
60 (15) |
2 (33) |
4 (7) |
0 (0) |
2 (3) |
2 (2) |
1 (1) |
1 (100) |
|
Nurse/Midwife |
206 (27) |
7 (23) |
123 (31) |
1 (17) |
4 (7) |
3 (13) |
24 (30) |
15 (14) |
29 (39) |
0 (0) |
|
Nurse Immuniser |
209 (27) |
6 (20) |
123 (31) |
0 (0) |
4 (7) |
7 (29) |
33 (41) |
18 (17) |
18 (24) |
0 (0) |
|
Pharmacist |
227 (29) |
9 (30) |
58 (15) |
3 (50) |
46 (77) |
14 (58) |
12 (15) |
62 (59) |
23 (31) |
0 (0) |
|
Administration/support officer |
20 (3) |
6 (20) |
10 (3) |
0 (0) |
1 (2) |
0 (0) |
1 (1) |
2 (2) |
0 (0) |
0 (0) |
|
Other |
40 (5) |
1 (3) |
21 (5) |
0 (0) |
1 (2) |
0 (0) |
8 (10) |
6 (6) |
3 (4) |
0 (0) |
|
|
772 |
30 |
394 |
6 |
60 |
24 |
80 |
103 |
74 |
1 |
|
<1 year |
65 (8) |
12 (40) |
16 (4) |
3 (50) |
6 (10) |
5 (21) |
2 (3) |
14 (14) |
7 (10) |
0 (0) |
|
1–<5 years |
288 (37) |
9 (30) |
112 (28) |
2 (33) |
40 (67) |
9 (38) |
27 (34) |
61 (59) |
28 (38) |
0 (0) |
|
5–<10 years |
106 (11) |
3 (10) |
66 (17) |
1 (17) |
7 (12) |
1 (4) |
13 (16) |
3 (3) |
12 (16) |
0 (0) |
|
≥10 years |
313 (41) |
6 (20) |
200 (51) |
0 (0) |
7 (11) |
9 (38) |
38 (48) |
25 (24) |
27 (37) |
1 (100) |
|
| ||||||||||
|
Hospital |
95 |
4 |
56 |
0 |
2 |
0 |
17 |
5 |
11 |
0 |
|
Medical Practice |
334 |
7 |
228 |
1 |
10 |
3 |
37 |
26 |
21 |
1 |
|
School |
77 |
5 |
45 |
0 |
0 |
3 |
15 |
3 |
6 |
0 |
|
Local council/CHC |
82 |
5 |
24 |
0 |
1 |
6 |
21 |
10 |
15 |
0 |
|
Pharmacy |
231 |
10 |
60 |
3 |
45 |
14 |
14 |
59 |
26 |
0 |
|
Workplace |
101 |
3 |
44 |
0 |
7 |
3 |
17 |
13 |
14 |
0 |
|
RACF |
35 |
3 |
19 |
0 |
2 |
2 |
6 |
1 |
2 |
0 |
|
Other |
33 |
2 |
13 |
0 |
1 |
1 |
8 |
3 |
5 |
0 |
Key results by provider.
|
Total |
General Practitioner |
Nurse/Midwife |
Nurse Immuniser |
Pharmacist |
Admin/support officer |
Other | |
|---|---|---|---|---|---|---|---|
|
N=775 |
N=73 |
N=206 |
N=209 |
N=227 |
N=20 |
N=40 | |
|
| |||||||
|
No impact |
141 (21.0%) |
21 (34.4%) |
57 (31.7%) |
40 (21.3%) |
13 (6.6%) |
3 (23.1%) |
7 (21.9%) |
|
Unable to offer at all |
15 (2.2%) |
0 (0.0%) |
2 (1.1%) |
4 (2.1%) |
8 (4.0%) |
1 (7.7%) |
0 (0.0%) |
|
Continued but reduced number |
126 (18.8%) |
8 (13.1%) |
35 (19.4%) |
58 (30.9%) |
15 (7.6%) |
4 (30.8%) |
6 (18.8%) |
|
Increased number |
390 (58.0%) |
32 (52.5%) |
86 (47.8%) |
86 (45.7%) |
162 (81.8%) |
5 (38.5%) |
19 (59.4%) |
|
|
350 (52.2%) |
19 (31.1%) |
94 (52.5%) |
94 (50.0%) |
120 (60.6%) |
8 (61.5%) |
15 (46.9%) |
|
| |||||||
|
Sick leave/illness |
122 (34.9%) |
8 (42.1%) |
32 (34.0%) |
36 (38.3%) |
36 (30.0%) |
4 (50.0%) |
6 (40.0%) |
|
Self isolation/poss COVID |
141 (40.3%) |
9 (47.4%) |
38 (40.4%) |
34 (36.2%) |
54 (45.0%) |
2 (25.0%) |
4 (26.7%) |
|
Redeployment |
31 (8.9%) |
0 (0.0%) |
8 (8.5%) |
14 (14.9%) |
7 (5.8%) |
1 (12.5%) |
1 (6.7%) |
|
Other |
56 (16.0%) |
2 (10.5%) |
16 (17.0%) |
10 (10.6%) |
23 (19.2%) |
1 (12.5%) |
4 (26.7%) |
|
| |||||||
|
No |
105 (16.4%) |
11 (18.6%) |
16 (9.2%) |
23 (12.6%) |
47 (25.0%) |
2 (20.0%) |
6 (20.0%) |
|
Yes |
363 (56.5%) |
33 (55.9%) |
110 (63.6%) |
105 (57.7%) |
89 (47.3%) |
7 (70.0%) |
19 (63.3%) |
|
Unsure |
174 (27.1%) |
15 (25.4%) |
47 (27.2%) |
54 (29.7%) |
52 (27.7%) |
1 (10.0%) |
5 (16.7%) |
|
| |||||||
|
No |
398 (62.0%) |
44 (74.6%) |
119 (68.4%) |
98 (53.8%) |
112 (59.6%) |
6 (60.0%) |
19 (65.5%) |
|
Yes |
55 (8.6%) |
5 (8.5%) |
7 (4.0%) |
25 (13.7%) |
14 (7.4%) |
0 (0.0%) |
4 (13.8%) |
|
Unsure |
189 (29.4%) |
10 (16.9%) |
48 (27.6%) |
59 (32.4%) |
62 (33.0%) |
4 (40.0%) |
6 (20.7%) |
Note:
Questions do not total to 775 due to non‐response or NA.
Figure 1a. Impact of pandemic on capacity to provide adult, maternal and childhood vaccines, b. The ways COVID‐19 has impacted on ability to provide adult, maternal and childhood vaccines.
Notes:
∗ Adult vaccination responses: Able to offer vaccines but reduced in number of clients able to be seen due to physical distancing measures, Able to offer vaccines but prioritised only to individuals at high risk for vaccine preventable diseases, Able to offer vaccines but reduced in number as individuals reluctant to attend service due to concerns about COVID‐19; Maternal vaccination responses: Able to offer vaccines but reduced in number of clients able to be seen due to physical distancing measures, Able to offer vaccines but reduced in number of presenting clients as pregnant women reluctant to attend service, Able to offer vaccines but reduced in number of presenting clients as pregnant women having reduced face to face antenatal appointments.
Figure 2a. Ways immunisation providers have adapted their service delivery because of COVID‐19, b. Groups that were prioritized by immunisation providers during the pandemic.