| Literature DB >> 36136748 |
Ngozika Esther Ezinne1,2, Kingsley Kene Ekemiri1, Gabrielle Nora Harbajan1, Anesha Cameisha Crooks1, Danquah Douglas3, Alex Azuka Ilechie3, Khathutshelo Percy Mashige2.
Abstract
The study assessed the contact lens prescribing patterns and associated factors in a university optometry clinic in Trinidad and Tobago. The data relating to habitual or new contact lens (CL) prescribing patterns among wearers over a two-year period were reviewed. Pearson's chi-squared test and logistic regression models were used to analyze the findings. The Hosmer-Lemeshow goodness-of-fit test was used to examine the model calibration. A total of 243 CL fits were analyzed, and the Homeshow-Lemeshow goodness-of-fit test indicated a good fit (χ2 (7) = 7.296, p = 0.399). The mean age of lens wearers was 29.6 ± 12.4 (mean ± SD); the majority, 155 (63.8 %) of whom, were 21 to 40 years old. Most lenses were fitted on females (64.2% of fits overall) and about half of the wearers (n = 122, 50.2%) were prescribed lenses for cosmetic purposes. Conventional soft CL were the most prescribed modality of wear, accounting for 129 (53.1%) of the fits. Age from 21 to 40 years was the predictor of lens type prescribed, and those in that age range were four times more likely to be prescribed soft lenses compared to other ages. The patterns of CL prescribing in a university optometry clinic in Trinidad and Tobago are similar to the global market trends with slight variations.Entities:
Keywords: Tobago; Trinidad; lens design; prescribing trend; rigid gas permeable contact lens; soft contact lens; type of lens
Year: 2022 PMID: 36136748 PMCID: PMC9503470 DOI: 10.3390/vision6030055
Source DB: PubMed Journal: Vision (Basel) ISSN: 2411-5150
Prescribing rates of contact lens in hydrogel and silicone hydrogel CL materials by age, gender, and purpose of wear.
| Variables | Hydrogel CL Frequency (%) | Silicon-Hydrogel CL Frequency (%) | |
|---|---|---|---|
| Gender | |||
| Male (87) | 8 (43.7) | 49 (56.3%) | 0.028 |
| Female (156) | 91 (58.3) | 65 (41.7%) | |
| Age group ( | |||
| <14 (6) | 1 (16.7) | 5 (83.3%) | 0.006 |
| 14–20 (38) | 18 (47.4) | 20 (52.7%) | |
| 21–40 (155) | 21–40 (155) | 60 (38.7) | |
| 41–50 (19) | 7 (36.8) | 12 (63.2) | |
| >50 (25) | 7 (32) | 17 (68) | |
| Purpose of wear ( | |||
| Refractive correction (92) | 52 (56.5) | 40 (43.5) | <0.0001 |
| Cosmetic (122) | 76 (62.3) | 46 (37.7) | |
| Therapeutic (29) | 1 (3.5) | 28 (96.5) |
Prescribing rates of Soft and RGP lenses by age, gender, and purpose of wear.
| Variables (n) | Soft Lenses | RGP Lenses (%) Frequency | |
|---|---|---|---|
| Gender | |||
| Male (87) | 68 (78.2%) | 19 (21.8%) | 0.021 |
| Female (156) | 139 (89.1%) | 17 (10.9%) | |
| Age | |||
| <14 (6) | 6 (100) | 0 (0.0) | 0.141 |
| 14–20 (38) | 30 (79) | 8 (21.1) | |
| 21–40 (155) | 129 (83.2) | 26 (16.8) | |
| 41–50 (19) | 19 (100) | 0 (0.0) | |
| >50 (25) | 23 (92) | 2 (8) | |
| Purpose of wear (n) | |||
| Refractive correction (92) | 85 (92.4) | 7 (7.6) | <0.0001 |
| Cosmetic (122) | 115 (94.2) | 7 (5.7) | |
| Therapeutic (29) | 7 (24) | 22 (76) |
Prescribing rate of spherical and non-spherical contact lenses by age, gender, and purpose of wear.
| Variables (n) | Spherical CL Frequency (%) | Non-Spherical CL Frequency (%) | |
|---|---|---|---|
| Gender | |||
| Male (87) | 41 (47.1) | 46 (52.9) | 0.357 |
| Female (156) | 62 (39.7) | 92 (59) | |
| Age | |||
| <14 (6) | 5 (83.3) | 1 (16.7) | |
| 14–20 (38) | 17 (44.7) | 21 (55.3%) | |
| 21–40 (155) | 74 (47.7) | 81 (52.3) | |
| 41–50 (19) | 3 (15.8) | 16 (84.2) | |
| >50 (25) | 6 (24) | 19 (76) | |
| Purpose of wear | |||
| Refractive correction (92) | 46 (50) | 46 (50) | 0.039 |
| Cosmetic (122) | 45 (43.1) | 77 (63) | |
| Therapeutic (29) | 14 (48.2) | 15 (51.7) |
Logistic regression predicting soft lens prescribing from patient’s age, gender, and purpose of wear.
| Variable | Odd Ratio | 95% CI | |
|---|---|---|---|
| Age (21–40) | 4.35 | 1.62–11.71 | 0.004 * |
| Gender | 1.90 | 0.998–3.60 | 0.051 |
| Purpose of wear (refractive correction) | 0.14 | 0.043–0.450 | 0.050 |
R2 = 0.587 (Hosmer–Lemeshow), 0.331 (Cox Snell), 0.446 (Nagelkerke); model χ2 2 = 7.37, p = 0.03. CI = confidence interval. * Significant at p < 0.05.