| Literature DB >> 31633056 |
Simon Arunga1,2, Allen Asiimwe3, Eunice Apio Olet4, Grace Kagoro-Rugunda4, Bosco Ayebazibwe5, John Onyango1, Robert Newton3,6, Astrid Leck2, David Macleod7, Victor H Hu2, Janet Seeley3,8, Matthew J Burton2.
Abstract
Background: Traditional eye medicine (TEM) is frequently used to treat microbial keratitis (MK) in many parts of Africa. Few reports have suggested that this is associated with a worse outcome. We undertook this large prospective study to determine how TEM use impacts presentation and outcome of MK and to explore reasons why people use TEM for treatment in Uganda.Entities:
Keywords: Blindness; Microbial Keratitis; Traditional Eye Medicine; Traditional Healers; Uganda
Year: 2019 PMID: 31633056 PMCID: PMC6784788 DOI: 10.12688/wellcomeopenres.15259.2
Source DB: PubMed Journal: Wellcome Open Res ISSN: 2398-502X
Baseline demographics characteristics of participants (n=313), comparing traditional eye medicine (TEM) users to non-users.
| Variable | TEM Users (188) | TEM Non-Users (125) | ||||||
|---|---|---|---|---|---|---|---|---|
| Median | (IQR) | (Total range) | Median | (IQR) | (Total range) | P value | ||
|
| 48 | (34–60) | (18–87) | 45 | (35–60) | (18–96) | 0.651 | |
|
| 87 | (59–132) | (1.5–378) | 67 | (42–121) | (0.2–316) | 0.003 | |
|
| 3 | (1–5) | (0–45) | 2 | (1–4) | (0–35) | 0.528 | |
| Count | (%) | count | (%) | P value | ||||
|
| Male | 101 | (54) | 73 | (58) | 0.415 | ||
|
| Farmer | 140 | (75) | 80 | (64) | 0.047 | ||
| Non-farmer | 48 | (25) | 45 | (34) | ||||
|
| None | 59 | (31) | 25 | (20) | 0.016 | ||
| Primary Level | 98 | (52) | 64 | (51) | ||||
| Secondary Level | 23 | (12) | 22 | (18) | ||||
| Tertiary Level | 8 | (5) | 14 | (11) | ||||
|
| Unmarried
| 66 | (35) | 29 | (23) | 0.025 | ||
| Married | 122 | (65) | 96 | (77) | ||||
|
| Poor | 51 | (28) | 34 | (29) | 0.520 | ||
| Middle | 116 | (64) | 72 | (60) | ||||
| Upper | 13 | (7) | 13 | (11) | ||||
SES: Socioeconomic status.
*Unmarried included-single, divorced, widowed. Ɨ This was relative self-reported economic status compared to the neighbours.
Baseline clinical characteristics of participants (n=313), comparing traditional eye medicine (TEM) users to non-users.
| Variable | TEM Users (188) | TEM Non-Users (125) | ||||||
|---|---|---|---|---|---|---|---|---|
| Median | (IQR) | (Total range) | Median | (IQR) | (Total range) | P value | ||
|
| 18 | (12–35) | (1–274) | 14 | (5–32) | (0–370) | 0.005 | |
|
| 5.6 | (3.8–8.1) | (0.5–11) | 4.3 | (2.4–6.8) | (0.6–12) | 0.0005 | |
|
| 4.2 | (2.5–11) | (0–14) | 3.6 | (2.2–5.1) | (0–11) | 0.0105 | |
|
| 1.5 | (0.3–2.5) | (0–4) | 0.6 | (0.2–2.5) | (0–4) | 0.005 | |
| Count | (%) | count | (%) | P value | ||||
|
| > 6/18 | 50 | (27) | 52 | (42) | 0.011 | ||
| 6/18 – 6/60 | 24 | (13) | 18 | (14) | ||||
| < 6/60 | 113 | (60) | 55 | (44) | ||||
|
| Yes | 107 | (57) | 60 | (48) | 0.122 | ||
|
| Yes | 42 | (22) | 49 | (39) | 0.001 | ||
|
| Yes | 85 | (46) | 45 | (36) | 0.097 | ||
|
| None | 31 | (17) | 30 | (24) | 0.246 | ||
| Flat | 77 | (41) | 47 | (38) | ||||
| Raised | 78 | (42) | 46 | (37) | ||||
|
| White | 77 | (44) | 71 | (63) | 0.005 | ||
| Cream | 76 | (43) | 30 | (27) | ||||
| Other | 23 | (13) | 11 | (10) | ||||
|
| Yes | 66 | (35) | 28 | (22) | 0.014 | ||
|
| Yes | 29 | (15) | 16 | (13) | 0.517 | ||
|
| Unknown | 38 | (23) | 27 | (25) | 0.089 | ||
| Bacteria | 10 | (6) | 10 | (10) | ||||
| Fungus | 108 | (67) | 60 | (55) | ||||
| Mixed | 6 | (4) | 11 | (10) | ||||
Log MAR: Logarithm of the minimum angle of resolution.
*These were calculated as the geometrical means using the MUTT protocol [15]. The upper limits exceeded normal corneal diameter for some lesions, which extended up to the sclera. Ɨ Raised slough was when the corneal infiltrate profile was raised, flat slough was when the profile was flat while no slough is when there was no debris noted. The difference in presenting vision and infiltrate sizes remained significant even after adjusting for delayed presentation.
Univariable and multivariable logistic regression for factors associated with traditional eye medicine use (n=313).
| Variable | Univariable Analysis | Multivariable Analysis | ||||
|---|---|---|---|---|---|---|
| Crude OR | (95% CI) | p-value | Adjusted OR | (95% CI) | p-value | |
|
| 1.002 | (0.988-1.016) | 0.699 | |||
|
| 1.005 | (1.001-1.0090 | 0.009 | 1.004 | (1.001-1.008) | 0.035 |
|
| 1.028 | (0.971-1.089) | 0.332 | |||
|
| 0.82 | (0.52-1.30) | 0.415 | |||
|
| 1.64 | (1.01-2.68) | 0.048 | |||
|
| 0.55 | (0.33-0.93) | 0.026 | 0.54 | (0.31-0.95) | 0.035 |
|
| ||||||
| None | 1 | 0.016 | 1 | 0.059 | ||
| Primary | 0.64 | (0.36-1.14) | 0.71 | (0.38-1.30) | ||
| Secondary | 0.44 | (0.20-0.93) | 0.44 | (0.20-1.00) | ||
| Tertiary | 0.24 | (0.09-0.65) | 0.28 | (0.09-0.83) | ||
|
| ||||||
| Low | 1 | 0.526 | ||||
| Middle | 1.07 | (0.63-1.81) | ||||
| Upper | 0.66 | (0.27-1.61) | ||||
|
| ||||||
| 0–3 days | 1 | <0.001 | 1 | 0.002 | ||
| 4–7 days | 2.17 | (0.72-6.53) | 1.50 | (0.46-4.83) | ||
| 8–14 days | 6.03 | (2.10-17.3) | 4.76 | (1.55-14.6) | ||
| 15–30 days | 5.77 | (2.03-16.4) | 4.37 | (1.44-13.2) | ||
| >30 days | 4.89 | (1.75-13.6) | 3.74 | (1.27-11.1) | ||
|
| 0.44 | (0.26-0.72) | 0.001 | 0.43 | (0.25-0.74) | 0.003 |
Baseline characteristics of people who participated in the in-depth interviews, including traditional healers and patients with microbial keratitis (both traditional eye medicine (TEM) users and non-users).
| Participant | Age | Sex | Marital status | Occupation | Household size | Education | Religion |
|---|---|---|---|---|---|---|---|
| Traditional Healers (n=11) | |||||||
|
| 70 | Male | Divorced | Farmer | 1 | None | Christian |
|
| 56 | Female | Married | Farmer | 4 | None | Christian |
|
| 52 | Female | Widowed | Farmer | 3 | None | Christian |
|
| 76 | Female | Married | Farmer | 8 | Primary | Christian |
|
| 78 | Female | Married | Farmer | 5 | - | - |
|
| 53 | Female | Widowed | Farmer | 2 | - | Christian |
|
| 72 | Female | Widowed | TBA | 4 | Primary | Christian |
|
| 82 | Male | Divorced | Farmer | 8 | None | Christian |
|
| 59 | Male | Married | Carpenter | 18 | Secondary | Christian |
|
| 69 | Female | Married | TBA | 6 | Primary | Christian |
|
| 60 | Female | Widowed | TBA | 5 | Primary | Christian |
| TEM Users (n=21) | |||||||
|
| 42 | Male | Married | Farmer | 7 | Primary | Christian |
|
| 46 | Male | Married | Charcoal maker | 8 | Primary | Christian |
|
| 26 | Male | Married | Mechanic | 4 | Primary | Christian |
|
| 53 | Female | Married | Farmer | 5 | Primary | Christian |
|
| 38 | Female | Married | Farmer | 3 | Primary | Christian |
|
| 26 | Male | Single | Graduate | 5 | Tertiary | Christian |
|
| 18 | Female | Single | Farmer | 6 | Secondary | Christian |
|
| 39 | Male | Married | Farmer | 5 | None | Muslim |
|
| 85 | Female | Widowed | Farmer | 18 | None | Christian |
|
| 60 | Female | Married | Business | 5 | None | Christian |
|
| 72 | Female | Married | Farmer | 8 | None | Christian |
|
| 29 | Male | Married | Teacher | 3 | Tertiary | Christian |
|
| 60 | Male | Married | Farmer | 6 | Primary | Muslim |
|
| 39 | Female | Married | Farmer | 5 | Primary | Christian |
|
| 54 | Male | Married | Guard | 4 | Primary | Christian |
|
| 58 | Female | Married | Farmer | 4 | Primary | Christian |
|
| 30 | Female | Divorced | Farmer | 4 | Primary | Christian |
|
| 81 | Male | Married | Farmer | 9 | None | Christian |
|
| 81 | Male | Married | Farmer | 5 | Primary | Christian |
|
| 69 | Male | Married | Farmer | 17 | Primary | Christian |
|
| 20 | Male | Single | Shop keeper | 20 | Primary | Muslim |
| TEM Non-Users (n=6) | |||||||
|
| 56 | Male | Married | Teacher | 6 | Tertiary | Christian |
|
| 25 | Male | Married | Bike rider | 6 | Primary | Christian |
|
| 39 | Male | Married | Accountant | 1 | Tertiary | Christian |
|
| 30 | Female | Single | Hairdresser | 1 | Primary | Christian |
|
| 20 | Male | Single | Farmer | 10 | Secondary | Christian |
|
| 19 | Female | Single | Student | 4 | Tertiary | Muslim |
TBA: Traditional Birth Attendant;