| Literature DB >> 29988888 |
Ketaki Rajurkar1, Suneeta Dubey1, Parmatma Prasad Gupta1, Denny John2,3, Lokesh Chauhan1.
Abstract
PURPOSE: The present study aims to estimate the prevalence of non-compliance and improper drop administration technique among glaucoma patients and describe common obstacles to medication compliance.Entities:
Keywords: Adherence; Glaucoma; Medication; North India
Year: 2018 PMID: 29988888 PMCID: PMC6033778 DOI: 10.1016/j.joco.2017.09.002
Source DB: PubMed Journal: J Curr Ophthalmol ISSN: 2452-2325
Sociodemographic characteristics of participants.
| Sociodemographic data | Number (%) |
|---|---|
| 18–20 years | 2 (1.32) |
| 21–30 years | 4 (2.65) |
| 31–40 years | 12 (7.95) |
| 41–50 years | 39 (25.83) |
| 51–60 years | 34 (26.49) |
| 61–70 years | 40 (26.49) |
| >70 years | 20 (13.25) |
| Male | 94 (62.5) |
| Female | 57 (37.75) |
| Illiterate | 25 (16.56) |
| Middle-school | 24 (15.89) |
| High school (Class IX, X) | 26 (17.22) |
| Intermediate (Class XI, XII) | 22 (14.57) |
| University & above | 54 (35.76) |
| Lower income | 24 (14.57) |
| Lower middle income | 44 (29.14) |
| Upper middle income | 79 (52.32) |
| Upper income | 6 (3.97) |
| Bilateral | 114 (75.50) |
| RE | 19 (12.58) |
| LE | 18 (11.92) |
| <5 years | 103 (68.21) |
| >5–10 years | 33 (21.85) |
| >10–15 years | 8 (5.30) |
| >15 years | 7 (14.64) |
| Mild (better than −6 dB) | 91 (60.26) |
| Moderate (−6 to −12 dB) | 31 (20.53) |
| Severe (worse than −12 dB) | 29 (19.21) |
| Family members with glaucoma | 28 (18.54) |
| General | 79 (52.31) |
| Paying | 72 (47.68) |
Fig. 1Level of compliance to anti-glaucoma medications (n-151). The figure describes the patients' level of compliance to anti-glaucoma medications as total non-compliance, partial non-compliance, and full compliance (number-151).
Main reasons given by participants for missing their doses in the week before.
| Reason | Partial non-compliance | Total non-compliance | Total |
|---|---|---|---|
| Forgetfulness | |||
| Outstation travel | |||
| Others | |||
| Run out of drops | |||
| Cost of medicine | |||
| Unavailability of drugs | |||
| Discomfort | |||
| Laziness | |||
Associated factors that determine non-compliance.
| ANOVA | df | SS | MS | F | Significance F | |||
| Regression | 16 | 37.73509934 | 2.358444 | 9.74336E+31 | 0 | |||
| Residual | 134 | 3.24356E-30 | 2.42E-32 | |||||
| Total | 150 | 37.73509934 | ||||||
| Coefficients | Standard error | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |||
| Patient Category- P = Paying; G = Subsidized | 0.0 | 0.0 | −1.9 | 0.06 | 0.0 | 0.0 | 0.0 | 0.0 |
| Age | 0.0 | 0.0 | 0.0 | 1.00 | 0.0 | 0.0 | 0.0 | 0.0 |
| Sex | 0.0 | 0.0 | 0.1 | 0.88 | 0.0 | 0.0 | 0.0 | 0.0 |
| Education | 0.0 | 0.0 | −1.7 | 0.10 | 0.0 | 0.0 | 0.0 | 0.0 |
| Improper drop administration | 0.0 | 0.0 | −0.5 | 0.61 | 0.0 | 0.0 | 0.0 | 0.0 |
| Method of improper technique (A. Missed the eye, B. Contaminated bottle tip, C-Both) | 0.0 | 0.0 | 0.4 | 0.66 | 0.0 | 0.0 | 0.0 | 0.0 |
| Difficulty scheduling | 0.0 | 0.0 | 0.4 | 0.66 | 0.0 | 0.0 | 0.0 | 0.0 |
| Cause of non-compliance | 1.0 | 0.0 | 0.4 | 0.00 | 1.0 | 1.0 | 1.0 | 1.0 |
| Caregiver | 0.0 | 0.0 | 0.0 | 0.99 | 0.0 | 0.0 | 0.0 | 0.0 |
| Side effects | 0.0 | 0.0 | −0.6 | 0.54 | 0.0 | 0.0 | 0.0 | 0.0 |
| No. of administrations | 0.0 | 0.0 | 0.0 | 0.97 | 0.0 | 0.0 | 0.0 | 0.0 |
| How do you feel about drops | 0.0 | 0.0 | −0.6 | 0.54 | 0.0 | 0.0 | 0.0 | 0.0 |
| Treatment duration | 0.0 | 0.0 | 0.0 | 1.00 | 0.0 | 0.0 | 0.0 | 0.0 |
| Family members with glaucoma | 0.0 | 0.0 | −1.0 | 0.34 | 0.0 | 0.0 | 0.0 | 0.0 |
| Mean deviation of visual field | 0.0 | 0.0 | 0.0 | 1.00 | 0.0 | 0.0 | 0.0 | 0.0 |
| Doctor's preception | 0.0 | 0.0 | −0.1 | 0.88 | 0.0 | 0.0 | 0.0 | 0.0 |
ANOVA: Analysis of variance, df: Degrees of freedom, SS: Sum of squares, MS: Mean sum of squares, F: F-statistic, t stat: t-statistic.