| Literature DB >> 29181451 |
Esmael Habtamu1,2, Tariku Wondie1, Sintayehu Aweke1, Zerihun Tadesse1, Mulat Zerihun1, Berhanu Melak1, Bizuayehu Gashaw3, Kelly Callahan4, Paul M Emerson5, Robin L Bailey6, David C W Mabey6, Saul N Rajak2, Hannah Kuper7, Sarah Polack7, David Macleod8, Helen A Weiss8, Matthew J Burton2.
Abstract
Background: Trachomatous trichiasis (TT) may lead to disability, impeding productive activities, resulting in loss of income. This study was conducted to determine if trichiasis surgery improves participation in productive and leisure activities, and ability to perform activities without difficulty or assistance.Entities:
Keywords: Activity; Difficulty; Impact; Participation; Productivity; Surgery; Trachoma; Trachomatous Trichiasis
Year: 2017 PMID: 29181451 PMCID: PMC5686479 DOI: 10.12688/wellcomeopenres.11891.2
Source DB: PubMed Journal: Wellcome Open Res ISSN: 2398-502X
Change in activity participation of cases and comparison participants between baseline and 12-month follow-up.
| Activity | Performed activity in the last week | ||||||
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CPs = Comparison Participants; Diff = Difference of proportions between 12-month follow-up and baseline, calculated using two sample test of proportions.
a p-values for interaction between visit and case/comparison status; calculated using random effect logistic regression model by including interaction term between cases/comparison status and time point, and adjusted for age, gender and self-reported health problem in the last month to show whether non-active cases at baseline are more or less likely to become active at follow-up than comparison participant who were non-active at baseline; b Listening to radio, Reading, Watching TV; † Selling Goods.
Change in performing activities without difficulty between baseline and 12 month follow-up in cases and comparison participants.
| Activity | Performed activity without difficulty | ||||||
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CPs = Comparison Participants; Diff = Difference of proportions between 12-month follow-up and baseline, calculated using two sample test of proportions.
a p-values for interaction between time point and case/comparison status; calculated using random effect logistic regression model adjusted for age, gender and self-reported health problem in the last one month to show if any increase or decrease in performing an activity without difficulty from baseline to follow-up differ between cases and comparison participants; b Listening to radio, Reading, Watching TV; † Selling Goods; c p-values calculated using random effect logistic regression model to show if any increase or decrease in proportion of cases doing an activity without difficulty differ between baseline and follow-up after adjusting for potential confounders: age, gender and self-reported health problem in the last one month. This analysis is used for variables with inadequate variability in the proportion of comparison participants for interaction analysis between time point and case/comparison status.
Change in performing activities without assistance between baseline and 12 month follow-up in cases and comparison participants.
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| n/N | (%) | n/N | (%) | ||||
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CPs = Comparison Participants; Diff = Difference of proportions between 12 month follow-up and baseline, calculated using two sample test of proportions.
a p-values calculated using random effect logistic regression model to show if any increase or decrease in proportion of cases doing an activity without assistance differ between baseline and follow-up after adjusting for potential confounders: age, gender and self-reported health problem in the last one month. This analysis is chosen as the change in assistance (between baseline and follow-up) data in the comparison participants have inadequate variability for interaction analysis between time point and case/comparison status; b Listening to radio, Reading, Watching TV; † Selling Goods.
Dashed lines indicate that the proportion variability in the data is inadequate for such analysis.
Change in performing activities without difficulty and assistance in cases by vision change at 12 months.
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| Performed activity without difficulty | Performed activity without assistance | ||||||||||||
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| Vision better | Vision same | Vision worse |
| Vision better | Vision same | Vision worse |
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Diff = Difference of proportions between 12 month follow-up and baseline, calculated using two sample test of proportions.
a p-values for interaction between time point and vision change at 12-month follow-up in cases alone; calculated using random effect logistic regression model adjusted for age, gender and self-reported health problem in the last one month to show if any increase or decrease in performing an activity without difficulty/assistance among the cases show a trend across the three group of vision changes: better, same and worse. P values particularly indicate if there is a trend of a larger difference with worse vision; e Listening to radio, Reading, Watching TV; † Selling Goods.
Dashed lines indicate that the proportion variability in the data is inadequate for such analysis.
Change in performing activities, and performing activities without difficulty and assistance in cases by recurrence status at 12 months.
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| Performed activity in the last week | Performed activity without difficulty | Performed activity without assistance | ||||||||||||
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| No Recurrence | Recurrence | P-value
| No Recurrence | Recurrence | P-value
| No Recurrence | Recurrence |
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Diff = Difference of proportions between 12-month follow-up and baseline, calculated using two sample test of proportions.
a p-values for interaction between time point and recurrence at 12-month follow-up in cases alone; calculated using random effect logistic regression model adjusted for age, gender and self-reported health problem in the last one month to show if any increase or decrease in participating in an activity, and performing an activity without difficulty/assistance among the cases is different among those with and without TT recurrence at 12-month; Listening to radio, Reading, Watching TV; † Selling Goods.
Dashed lines indicate that the proportion variability in the data is inadequate for such analysis; except for daily activities participation where data is not available.
Change in impact of ocular pain on daily living between baseline and 12 months after trachomatous trichiasis surgery in cases and comparison participants.
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† Diff = proportion difference from two sample test of proportions of those with any level of problem secondary to ocular pain between baseline and 12 month follow-up; creating binary variable after combining those with “occasionally”, “often” and “constantly” responses.
a p-values calculated using random effect ordinal logistic regression model adjusted for age, gender and self-reported health problem in the last one month to show if there is a trend in decrease in proportion of cases and comparison participants (separately) with negative impact of ocular pain on daily living between baseline and follow-up; b p-values for interaction between time point and case/comparison status; calculated using random effect ordinal logistic regression model by including interaction term between cases/comparison status and visit; and adjusted for age, gender and self-reported health problem in the last one month to show if any increase or decrease in proportion of cases and comparison participants with no pain or no negative impact of ocular pain on daily living between baseline and follow-up significantly differ between cases and comparison participants.
Dashed lines indicate that the proportion variability in the data is inadequate for such analysis.