| Literature DB >> 29354697 |
Nkiru N Kizor-Akaraiwe1,2, Henrietta I Monye3, Suhanya Okeke4.
Abstract
AIM: The aim of this study was to determine the level of awareness and knowledge of glaucoma and the proportion of people with glaucoma among participants of a 1-day urban eye outreach programme.Entities:
Keywords: Glaucoma; Southeast Nigeria; awareness; knowledge
Year: 2017 PMID: 29354697 PMCID: PMC5721634 DOI: 10.1136/bmjophth-2016-000018
Source DB: PubMed Journal: BMJ Open Ophthalmol ISSN: 2397-3269
Sociodemographic characteristics of eligible participants at the eye outreach programme
| S. no | Sociodemographic feature | Frequency | Percentage (95% CI) |
| 1 | |||
| Male | 264 | 55.2 (50.8 to 59.8) | |
| Female | 214 | 44.8 (40.2 to 49.2) | |
| 2 | |||
| 18–29 | 55 | 11.5 (8.6 to 14.6) | |
| 30–39 | 60 | 12.6 (9.6 to 15.9) | |
| 40–49 | 107 | 22.4 (19.0 to 26.6) | |
| 50–59 | 118 | 24.7 (21.1 to 28.2) | |
| 60–69 | 86 | 18.0 (14.4 to 21.1) | |
| >70 | 52 | 10.9 (8.2 to 13.8) | |
| 3 | |||
| Married | 364 | 76.2 (72.4 to 79.7) | |
| Single | 87 | 18.2 (15.3 to 21.5) | |
| Widowed | 26 | 5.4 (3.3 to 7.5) | |
| Divorced/separated | 1 | 0.2 (0.0 to 0.6) | |
| 4 | |||
| Professional | 26 | 5.4 (3.6 to 7.5) | |
| Business/self-employed | 124 | 25.9 (22.4 to 29.9) | |
| Student | 44 | 9.2 (6.7 to 11.7) | |
| Civil servant | 95 | 19.9 (16.3 to 23.6) | |
| Pensioner | 61 | 12.8 (10.0 to 15.7) | |
| Unemployed | 35 | 7.3 (5.2 to 9.6) | |
| Farmer/labourer | 93 | 19.5 (15.9 to 22.8) | |
| 5 | |||
| None | 43 | 9.0 (6.7 to 11.7) | |
| Primary | 111 | 23.2 (19.5 to 27.4) | |
| Secondary | 129 | 27.0 (23.0 to 30.8) | |
| Tertiary | 181 | 37.9 (33.5 to 42.9) | |
| Higher (MSc, PhD, etc) | 14 | 2.9 (1.5 to 4.4) |
Determinants of awareness of glaucoma among the study participants
| S. no | Feature | Awareness of glaucoma | |||
| Aware | Not aware | Total | p Value | ||
| 1 | |||||
| 18–29 | 37 (67.3) | 18 (32.7) | 55 (100) | 0.314 | |
| 30–39 | 35 (58.3) | 25 (41.7) | 60 (100) | ||
| 40–49 | 60 (56.1) | 47 (43.9) | 107 (100) | ||
| 50–59 | 79 (66.4) | 40 (33.6) | 119 (100) | ||
| 60–69 | 55 (64.7) | 30 (35.3) | 85 (100) | ||
| >70 | 27 (51.9) | 25 (48.1) | 13 (100) | ||
| 2 | |||||
| Male | 165 (62.5) | 99 (37.5) | 264 (100) | 0.549 | |
| Female | 128 (59.8) | 86 (40.2) | 214 (100) | ||
| 3 | |||||
| Married | 220 (60.4) | 144 (39.6) | 364 (100) | 0.786 | |
| Single | 55 (63.2) | 32 (36.8) | 87 (100) | ||
| Widowed | 17 (65.4) | 9 (34.6) | 26 (100) | ||
| Divorced/separated | 1 (100) | 0 (0) | 1 (100) | ||
| 4 | |||||
| Professional | 17 (65.4) | 9 (34.6) | 26 (100) | 0.360 | |
| Business/self-employed | 72 (58.1) | 52 (41.9) | 124 (100) | ||
| Student | 27 (61.4) | 17 (38.6) | 44 (100) | ||
| Civil servant | 65 (68.4) | 30 (31.6) | 95 (100) | ||
| Pensioner | 42 (68.9) | 19 (31.1) | 61 (100) | ||
| Unemployed | 19 (54.3) | 16 (45.7) | 35 (100) | ||
| Farmer/labourer | 51 (54.8) | 42 (45.2) | 93 (100) | ||
| 5 | |||||
| None | 15 (34.9) | 28 (65.1) | 43 (100) | <0.001 | |
| Primary | 57 (51.4) | 54 (48.6) | 111 (100) | ||
| Secondary | 81 (62.8) | 48 (37.2) | 129 (100) | ||
| Tertiary | 130 (71.8) | 51 (28.2) | 181 (100) | ||
| Higher (MSc, PhD, etc) | 10 (71.4) | 4 (28.6) | 14 (100) | ||
| 6 | |||||
| Yes | 105 (47.3) | 117 (52.7) | 222 (100) | <0.001 | |
| No | 188 (72.3) | 68 (26.6) | 256 (100) | ||
| 7 | <0.001 | ||||
| Yes | 47 (100) | 0 (0) | 47 (100) | ||
| No/don't know | 185 (42.9) | 246 (57.1) | 431 (100) | ||
Figure 1Responses to questions on knowledge about glaucoma.
Determinants of knowledge of glaucoma among the study participants
| S. no | Feature | Poor (%) | Good (%) | p Value | |
| 1 | 0.202 | ||||
| 18–29 | 11 (29.7) | 26 (70.3) | 37 (100) | ||
| 30–39 | 9 (25.7) | 26 (74.3) | 35 (100) | ||
| 40–49 | 28 (46.7) | 32 (53.3) | 60 (100) | ||
| 50–59 | 29 (37.2) | 50 (63.3) | 79 (100) | ||
| 60–69 | 26 (46.4) | 29 (52.7) | 55 (100) | ||
| >70 | 14 (51.9) | 13 (48.1) | 27 (100) | ||
| 2 | 0.978 | ||||
| Male | 66 (40) | 99 (60) | 165 (100) | ||
| Female | 51 (39.8) | 77 (60.2) | 128 (100) | ||
| 3 | 0.110 | ||||
| Married | 93 (42.3) | 127 (57.7) | 220 (100) | ||
| Single | 15 (27.3) | 40 (72.7) | 55 (100) | ||
| Widowed | 9 (52.9) | 8 (47.1) | 17 (100) | ||
| Divorced/separated | 0 (0) | 1 (100) | 1 (100) | ||
| 4 | |||||
| Professional | 7 (41.2) | 10 (58.8) | 17 (100) | 0.008 | |
| Business/self-employed | 28 (38.9) | 44 (61.1) | 72 (100) | ||
| Student | 5 (18.5) | 22 (81.5) | 27 (100) | ||
| Civil servant | 22 (33.8) | 43 (66.2) | 65 (100) | ||
| Pensioner | 16 (38.1) | 26 (61.9) | 42 (100) | ||
| Unemployed | 7 (36.8) | 12 (63.2) | 19 (100) | ||
| Farmer/labourer | 32 (62.7) | 19 (37.3) | 51 (100) | ||
| 5 | p<0.001 | ||||
| None | 11 (73.3) | 4 (26.7) | 15 (100) | ||
| Primary | 31 (54.4) | 26 (45.6) | 57 (100) | ||
| Secondary | 37 (45.7) | 44 (54.3) | 81 (100) | ||
| Tertiary | 35 (26.9) | 95 (73.1) | 130 (100) | ||
| Higher (MSc, PhD, etc) | 3 (30) | 7 (70) | 10 (100) | ||
| 6 | 0.606 | ||||
| No | 73 (38.8) | 115 (61.2) | 188 (100) | ||
| Yes | 44 (41.9) | 61 (58.1) | 105 (100) | ||
| 7 | 0.566 | ||||
| Yes | 100 (40.7) | 146 (59.3) | 246 (100) | ||
| No | 17 (36.2) | 30 (63.8) | 47 (100) | ||
| 8 | 0.796 | ||||
| No or don't know | 106 (39.7) | 161 (60.3) | 267 (100) | ||
| Yes | 11 (42.3) | 15 (57.7) | 26 (100) | ||
| 9 | 0.335 | ||||
| Mass media | 70 (41.4) | 99 (58.6) | 169 (100) | ||
| Social media | 1 (11.1) | 8 (88.9) | 9 (100) | ||
| Family and friends | 17 (47.2) | 19 (52.8) | 36 (100) | ||
| Health workers | 28 (36.4) | 49 (63.6) | 77 (100) | ||
| Books | 1 (50) | 1 (50) | 2 (100) |
Figure 2Categories of participants with respect to their glaucoma status.