| Literature DB >> 35800517 |
Sravya Kuchi1, Swayam P Parida2.
Abstract
Objectives: To find the prevalence of COVID vaccine hesitancy amongst people of Odisha and reasons for the same. Design: Observational Study. Setting: Outpatients, inpatients, and attenders in tertiary health centers in Khorda, Tangi, and Mendhasal, Odisha, India; online data via google forms from people across the state. Duration of Study: April to June 2021. Participants: Convenience sampling of 450 adults aged between 18 and 60. Main Outcome Measure: Willingness to get vaccinated against COVID-19.Entities:
Keywords: Attitude; COVID-19; hesitancy; vaccine
Year: 2022 PMID: 35800517 PMCID: PMC9254777 DOI: 10.4103/jfmpc.jfmpc_1862_21
Source DB: PubMed Journal: J Family Med Prim Care ISSN: 2249-4863
Demographic details of the interviewees
| Demographic parameter | No. of participants ( |
|---|---|
| Age (in years) | |
| 18-30 | 246 (54.67) |
| 31-44 | 126 (28.00) |
| 45-60 | 78 (17.33) |
| Gender | |
| Male | 257 (57.11) |
| Female | 193 (42.89) |
| Residence | |
| Rural | 206 (45.78) |
| Urban | 244 (54.22) |
| Education status | |
| Illiterate | 10 (2.22) |
| Primary school | 63 (14.00) |
| Secondary school | 148 (32.89) |
| Graduate | 200 (44.44) |
| Postgraduate | 29 (6.45) |
| Occupation | |
| Student | 194 (43.11) |
| Government job | 33 (7.33) |
| Private job | 79 (17.55) |
| Daily wager | 58 (12.88) |
| Homemaker | 68 (15.13) |
| Unemployed | 18 (4.00) |
| Religion | |
| Hindu | 392 (87.11) |
| Muslim | 14 (3.11) |
| Christian | 42 (9.34) |
| Others | 2 (0.44) |
| Marital status | |
| Married | 227 (50.44) |
| Unmarried | 223 (49.56) |
| Socio-economic status (Kuppuswamy) | |
| Lower class | 170 (37.78) |
| Upper lower class | 82 (18.22) |
| Lower middle class | 106 (23.55) |
| Upper middle class | 44 (9.78) |
| Upper class | 48 (10.67) |
Figure 1Knowledge regarding COVID-19 vaccination among respondents (N = 450) X-axis: Occupation, Y-axis: Number of people with the response
Knowledge about the number of vaccines available
| How many vaccines do you think are currently available for COVID-19 in our country? | 1 | 2 | 3 | >3 | Don’t know | Total ( |
|
|---|---|---|---|---|---|---|---|
| Gender | |||||||
| Male | 7 (2.7) | 147 (57.2) | 2 (0.8) | 8 (3.1) | 93 (36.2) | 257 | 0.019 |
| Female | 2 (1.0) | 103 (53.4) | 0 (0.0) | 0 (0.0) | 88 (45.6) | 193 | |
| Age | |||||||
| 18-30 | 9 (3.7) | 204 (82.9) | 2 (0.8) | 4 (1.6) | 27 (11.0) | 246 | 0.000 |
| 31-44 | 0 (0) | 30 (23.8) | 0 (0) | 3 (2.4) | 93 (37.8) | 126 | |
| 45-60 | 0 (0) | 16 (20.5) | 0 (0) | 1 (1.3) | 61 (78.2) | 78 | |
| Residence | |||||||
| Rural | 7 (3.4) | 69 (33.5) | 0 (0.0) | 2 (1.0) | 128 (62.1) | 206 | 0.000 |
| Urban | 2 (0.8) | 181 (74.2) | 2 (0.8) | 6 (2.5) | 53 (21.7) | 244 |
Knowledge about the types of vaccines
| Know the currently available vaccines | Covaxin | Covishield | Both | Don’t know either | Total ( |
|
|---|---|---|---|---|---|---|
| Age | ||||||
| 18-30 | 16 (6.5) | 0 (0.0) | 222 (90.2) | 8 (3.3) | 246 | 0.000 |
| 31-44 | 8 (6.3) | 9 (7.1) | 41 (32.5) | 68 (54.0) | 126 | |
| 45-60 | 1 (1.3) | 2 (2.6) | 24 (30.8) | 51 (65.4) | 78 | |
| Gender | ||||||
| Male | 23 (8.9) | 2 (0.8) | 175 (68.1) | 57 (22.2) | 257 | 0.000 |
| Female | 2 (1.0) | 9 (4.7) | 112 (58.0) | 70 (36.3) | 193 | |
| Occupation | ||||||
| Student | 0 (0.0) | 0 (0.0) | 190 (97.9) | 4 (2.1) | 194 | 0.000 |
| Government job | 9 (27.3) | 2 (6.1) | 20 (60.6) | 2 (6.1) | 33 | |
| Private job | 14 (17.7) | 9 (11.4) | 38 (48.1) | 18 (22.8) | 79 | |
| Dailywager | 0 (0.0) | 0 (0.0) | 14 (24.1) | 44 (75.9) | 58 | |
| Homemaker | 0 (0.0) | 0 (0.0) | 16 (23.5) | 52 (76.5) | 68 | |
| Unemployed | 2 (11.1) | 0 (0.0) | 9 (50.0) | 7 (38.9) | 18 | |
| Residence | ||||||
| Rural | 18 (8.7) | 0 (0.0) | 81 (39.3) | 107 (51.7) | 206 | 0.000 |
| Urban | 7 (2.9) | 11 (4.5) | 206 (84.4) | 20 (8.2) | 244 | |
| Education status | ||||||
| Illiterate | 0 (0.0) | 0 (0.0) | 0 (0.0) | 10 (100.0) | 10 | 0.000 |
| Primary school | 0 (0.0) | 0 (0.0) | 2 (3.2) | 61 (96.8) | 63 | |
| Secondary school | 14 (9.5) | 2 (1.4) | 98 (66.2) | 34 (23.0) | 148 | |
| Graduate | 11 (5.5) | 9 (4.5) | 167 (83.5) | 13 (6.5) | 200 | |
| Post-graduate | 0 (0.0) | 0 (0.0) | 20 (69.0) | 9 (31.0) | 29 |
Interest in getting vaccinated
| If given a choice, would you take the vaccine once the drive rolls out to public? | Yes | No | Maybe | Not right away, maybe later | Total ( |
|
|---|---|---|---|---|---|---|
| Age | ||||||
| 18-30 | 230 (93.5) | 0 (0.0) | 6 (2.4) | 10 (4.1) | 246 | |
| 31-44 | 107 (84.9) | 19 (15.1) | 0 (0.0) | 0 (0.0) | 126 | |
| 45-60 | 56 (71.8) | 2 (2.6) | 16 (20.5) | 4 (5.1) | 78 | |
| Socioeconomic status | ||||||
| Lower class | 140 (82.4) | 12 (7.1) | 14 (8.2) | 4 (2.4) | 170 | 0.01 |
| Upper lower class | 75 (91.5) | 0 (0.0) | 3 (3.7) | 4 (4.9) | 82 | |
| Lower middle class | 97 (91.5) | 2 (1.9) | 4 (3.8) | 3 (2.8) | 106 | |
| Upper middle class | 36 (81.8) | 5 (11.4) | 0 (0.0) | 3 (6.8) | 44 | |
| Upper class | 45 (93.8) | 2 (4.2) | 1 (2.1) | 0 (0.0) | 48 | |
| Gender | ||||||
| Male | 249 (96.9) | 0 (0.0) | 0 (0.0) | 8 (3.1) | 257 | 0.000 |
| Female | 144 (74.6) | 21 (10.9) | 22 (11.4) | 6 (3.1) | 193 | |
| Residence | ||||||
| Rural | 163 (79.1) | 21 (10.2) | 18 (8.7) | 4 (1.9) | 206 | 0.000 |
| Urban | 230 (94.3) | 0 (0.0) | 4 (1.6) | 10 (4.1) | 244 | |
| Occupation | ||||||
| Student | 184 (94.8) | 0 (0.0.) | 2 (1.1) | 8 (4.1) | 194 | 0.000 |
| Government job | 31 (93.9) | 0 (0.0) | 2 (6.1) | 0 (0.0) | 33 | |
| Private job | 73 (92.4) | 0 (0.0) | 2 (2.2) | 4 (5.1) | 79 | |
| Daily wager | 50 (86.2) | 0 (0.0) | 8 (13.8) | 0 (0.0) | 58 | |
| Homemaker | 39 (57.4) | 21 (30.9) | 8 (11.8) | 0 (0.0) | 68 | |
| Unemployed | 16 (88.9) | 0 (0.0) | 0 (0.0) | 2 (11.1) | 18 |
Figure 2Major source of information about COVID-19 vaccines among respondents (%) (N = 450)
Figure 3Reasons for vaccine hesitancy among those who are not willing to get vaccinated immediately (N = 57) X-axis: Reason for hesitancy, Y-axis: Number of people stating the reason (%)