| Literature DB >> 32971635 |
Meenakshi Ravindran1, Neelam Pawar1, Ramakrishnan Renagappa1, Thulsiraj Ravilla1, Ruthika Khadse1.
Abstract
Purpose: The aim of this study was to identify barriers to follow-up among children aged 0-5 years who failed ocular screening.Entities:
Keywords: Barrier; income; preschool children; refraction; vision screening
Mesh:
Year: 2020 PMID: 32971635 PMCID: PMC7728044 DOI: 10.4103/ijo.IJO_1603_19
Source DB: PubMed Journal: Indian J Ophthalmol ISSN: 0301-4738 Impact factor: 1.848
Figure 1Selected districts (Tirunelveli, Tuticorin, and Kannyakumari of South India) ICDS centers that were screened under “Lavelle Paediatric Eye Care Project”. ICDS = Integrated Child Development Services
Figure 2ICDS eye screening Program Planning and follow-up of failed referral cases. ICDS = Integrated Child Development Services)
Demographic characteristics of preschool children who failed to follow-up at base hospital (n=324)
| Variable | |
|---|---|
| Age (years) | |
| Mean (SD) | 4.20 (1.0) |
| Range | 2-5 |
| Sex | |
| Male | 169 (52.2) |
| Female | 155 (47.8) |
| Area | |
| Rural | 291 (89.8) |
| Urban | 33 (10.2) |
n: number of children; %: percentage
Family educational, income, occupational, and family support background of children who failed to follow-up
| Variable | |
|---|---|
| Father’s education | |
| High school | 153 (47.4) |
| Illiterate | 135 (41.8) |
| Intermediate (+12) | 28 (8.7) |
| Graduate | 7 (2.2) |
| Mother’s education | |
| Illiterate | 149 (46.1) |
| High school | 124 (38.4) |
| Intermediate (+12) | 42 (13.0) |
| Graduate | 8 (2.5) |
| Monthly family income | |
| <5000 | 269 (83.0) |
| 5000-10,000 | 46 (14.2) |
| >10,000 | 9 (2.8) |
| Occupation of father | |
| Daily wages | 263 (81.9) |
| Private employee | 34 (10.6) |
| Self-business | 17 (5.3) |
| Government employee | 7 (2.2) |
| Occupation of mother | 284 (87.9) |
| House wife | 24 (7.4) |
| Daily wages | 10 (3.1) |
| Government employee | 3 (0.9) |
| Self-business | 2 (0.6) |
| Private employee | |
| Family support | |
| Nuclear family | 248 (76.5) |
| Joint family | 67 (20.7) |
| Single parent | 8 (2.5) |
| Authorized guardian | 1 (0.3) |
| Age group of children | |
| 1-4 years | 289 (89.2) |
| Above 4 years | 33 (10.2) |
| 0-1 year | 2 (0.6) |
n: number of children; %: percentage
Figure 3Vision screening results of preschool children
Survey participant responses to questions about childhood eye diseases and eye care awareness for children
| Variable | |
|---|---|
| History of any know ocular eye disease in the family? | |
| Yes | 157 (48.5) |
| No | 167 (51.5) |
| Do you know where or how to go for eye checkup? | |
| Yes | 318 (98.2) |
| No | 6 (1.8) |
| Whether there was proper communication by field worker or Anganwadi workers? | |
| Yes | 320 (98.8) |
| No | 4 (1.2) |
| Are you aware about child’s ocular problem? | |
| Yes | 290 (89.5) |
| No | 34 (10.5) |
| Is there unwillingness to wear glasses (psychosocial)? | |
| Yes | 34 (10.5) |
| No | 290 (89.5) |
| Is there any other morbidity of child which led to absenteeism? | |
| Yes | 4 (1.2) |
| No | 320 (98.8) |
| Is there no one else to look after the other children? | |
| Yes | 12 (3.7) |
| No | 312 (96.3) |
| Did you proper to consult any other eye hospital or doctor? | |
| Yes | 11 (3.4) |
| No | 313 (96.6) |
| Did you forget to come base hospital? | |
| Yes | 14 (4.3) |
| No | 310 (95.7) |
| Whether other family member ill? | |
| Yes | 3 (0.9) |
| No | 321 (99.1) |
Influence of cost and distance barrier factor
| Least influential | Moderate influential | Most influential | |
|---|---|---|---|
| Cost of transportation | 156 (48.2) | 96 (29.6) | 72 (22.2) |
| Cost of hospital and doctor’s fees | 79 (24.5) | 172 (53.2) | 72 (22.3) |
| Cost of taking time off from work | 33 (10.2) | 105 (32.4) | 186 (57.4) |
| Distance factor time | 40 (12.3) | 103 (51.8) | 181 (55.9) |
| Distance factor transportation | 161 (49.7) | 100 (30.9) | 63 (19.4) |
Barrier relating to Monthly family income vs. cost of taking time off from work
| Monthly income (in Rs) | Barrier factor (taking time off from work) | Total | |||
|---|---|---|---|---|---|
| Least influential | Moderate influential | Most influential | |||
| <5000 | 32 (11.8) | 97 (36.05) | 140 (52.04) | 269 (100) | <0.001 |
| 5000-10,000 | 1 (2.1) | 5 (10.8) | 40 (86.95) | 46 (100) | |
| >10,000 | - | 3 (33.33) | 6 (66.67) | 9 (100) | |
| Total | 33 (10.18) | 105 (32.4) | 186 (57.4) | 324 (100) | |
Barrier relating to monthly family income vs. hospital and doctor’s fees
| Monthly income (in Rs) | Barrier factor (hospital and doctor’s fees) | Total | |||
|---|---|---|---|---|---|
| Least influential | Moderate influential | Most influential | |||
| <5000 | 61 (22.7) | 144 (53.7) | 63 (23.6) | 268 (100) | 0.553 |
| 5000-10,000 | 15 (32.6) | 23 (50) | 8 (17.4) | 46 (100) | |
| >10,000 | 3 (33.3) | 5 (55.6) | 1 (11.1) | 9 (100) | |
| Total | 79 (24.4) | 172 (53.3) | 72 (22.3) | 323 (100) | |
*Fisher’s exact test
Barrier relating to monthly family income vs. cost of transportation to hospital
| Monthly income (in Rs) | Barrier factor (cost of transportation) | Total | |||
|---|---|---|---|---|---|
| Least influential | Moderate influential | Most influential | |||
| <5000 | 137 (51) | 77 (28.6) | 55 (20.4) | 269 (100) | 0.088 |
| 5000-10,000 | 15 (32.6) | 15 (32.6) | 16 (34.8) | 46 (100) | |
| >10,000 | 4 (44.4) | 4 (44.4) | 1 (11.1) | 9 (100) | |
| Total | 156 (48.1) | 96 (29.6) | 72 (22.3) | 324 (100) | |
*Fisher’s exact test