| Literature DB >> 32302319 |
Kwadwo Owusu Akuffo1, Mohammed Abdul-Kabir1, Eldad Agyei-Manu1, Josiah Henry Tsiquaye1, Christine Karikari Darko1, Emmanuel Kofi Addo1.
Abstract
BACKGROUND: Regardless of the importance of preschool vision screening (PSVS), there is limited data on the current state of these programs in Africa (particularly Ghana). This study sought to investigate the level of awareness and perception of stakeholders regarding PSVS, its availability and related policies/programmes in the Kumasi Metropolis, Ghana.Entities:
Mesh:
Year: 2020 PMID: 32302319 PMCID: PMC7164614 DOI: 10.1371/journal.pone.0230117
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Flowchart showing the flow of participants through the research process.
Demographic characteristics of respondents.
| Variable | n (%) |
|---|---|
| Male | 123 (35.8) |
| Female | 221 (64.2) |
| ≤ 18 | 4 (1.2) |
| 19–29 | 94 (28.1) |
| 30–39 | 88 (26.3) |
| 40–50 | 84 (25.1) |
| 51–60 | 58 (17.3) |
| ≥ 61 | 7 (2.0) |
| Public | 94 (27.3) |
| Private | 215 (62.5) |
| Head Teachers | 75 (21.8) |
| Teachers | 217 (63.1) |
| Proprietors | 5 (1.5) |
| Directors | 7 (2.0) |
| Administrators | 5 (1.5) |
| Education directorate respondent | 35 (10.2) |
| Primary | 9 (2.6) |
| Secondary | 107 (31.1) |
| Tertiary | 228 (66.3) |
| 0–1 | 37 (12.0) |
| 2–5 | 116 (37.5) |
| 6–10 | 82 (26.5) |
| More than 10 | 74 (23.9) |
| Preschool | 16 (4.7) |
| Primary | 162 (47.1) |
| Junior High | 122 (35.5) |
| Senior High | 7 (2.0) |
| Others | 37 (10.8) |
| Less than 100 | 18 (5.9) |
| 101–200 | 42 (13.7) |
| 201–500 | 140 (45.8) |
| 501–1000 | 84 (27.5) |
| More than 1000 | 22 (7.2) |
n (%) represents the frequencies and percentages of demographic characteristics of respondents.
*n ≠344
Association between sociodemographic factors and availability/awareness/perception of preschool vision screening.
| Variable | Availability | Awareness | Perception | ||||||
|---|---|---|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | OR | 95% CI | ||||
| 1.00 | 0.98–1.02 | 0.763 | 1.03 | 1.01–1.05 | 0.002 | 1.09 | 0.93–1.28 | 0.304 | |
| Males | ref | - | - | ref | - | - | ref | - | - |
| Females | 1.03 | 0.63–1.67 | 0.921 | 0.71 | 0.45–1.12 | 0.144 | - | - | 0.997 |
| Primary | ref | - | - | ref | - | - | ref | - | - |
| Secondary | 0.61 | 0.14–2.61 | 0.506 | - | - | 0.999 | - | - | 0.999 |
| Tertiary | 0.90 | 0.22–3.72 | 0.889 | - | - | 0.999 | - | - | 1.000 |
| Public | ref | - | - | ref | - | - | ref | - | - |
| Private | 2.46 | 1.34–4.51 | 0.004 | 1.98 | 1.14–3.43 | 0.015 | 2.17 | 0.13–35.17 | 0.584 |
| Education directorate respondent | ref | - | - | ref | - | - | ref | - | - |
| Headteacher | 0.97 | 0.41–2.30 | 0.936 | 1.81 | 0.80–4.09 | 0.154 | - | - | 1.000 |
| Teacher | 0.76 | 0.35–1.65 | 0.486 | 0.46 | 0.22–0.97 | 0.042 | - | - | 0.998 |
| Proprietor | 1.46 | 0.21–9.98 | 0.703 | 2.25 | 0.33–15.24 | 0.406 | - | - | 1.000 |
| Director | 2.91 | 0.55–15.28 | 0.207 | 3.75 | 0.64–22.10 | 0.144 | - | - | 1.000 |
| Administrator | 3.27 | 0.48–22.46 | 0.228 | 2.25 | 0.33–15.24 | 0.406 | - | - | 1.000 |
| Less than 100 | ref | - | - | ref | - | - | ref | - | - |
| 101–200 | 1.17 | 0.34–3.95 | 0.806 | 1.73 | 0.56–5.32 | 0.340 | - | - | 0.999 |
| 201–500 | 1.19 | 0.40–3.55 | 0.753 | 0.70 | 0.25–1.92 | 0.484 | - | - | 0.999 |
| 501–1000 | 0.81 | 0.26–2.56 | 0.723 | 0.74 | 0.26–2.13 | 0.582 | - | - | 1.000 |
| More than 1000 | 0.59 | 0.13–2.58 | 0.472 | 0.35 | 0.83–1.47 | 0.152 | - | - | 1.000 |
| 0–1 | ref | - | - | ref | - | - | ref | - | - |
| 2–5 | 1.03 | 0.45–2.36 | 0.947 | 1.85 | 0.74–4.62 | 0.186 | - | - | 0.998 |
| 6–10 | 1.18 | 0.50–2.81 | 0.702 | 2.22 | 0.87–5.69 | 0.096 | - | - | 1.000 |
| More than 10 | 1.07 | 0.44–2.59 | 0.881 | 3.45 | 1.35–8.85 | 0.010 | - | - | 1.000 |
CI, Confidence Intervals; ref, reference group in logistic regression analysis.