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A design challenge inherent to multi-site, multi-stage projects targeting strategies at each successive stage, such as in the JJ-TRIALS project, was the balance between intervention and data collection comprehensiveness and experienced participant and research burden.
Prior to actual data collection comprehensiveness, reliability and validity of questionnaires were pre-tested on ten patients at Dessie Referral Hospital eye clinic.
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This relative lack of power is counterbalanced by the many other advantages of this population-based cohort, most notably the prospective data collection, the comprehensiveness of the environmental risk variables available for study, and the depth, complexity and precision of the data (e.g. the use of multiple informants as well as the availability of medical and education records).
The comprehensiveness of data collection in this cohort means that the missing values were assumed to be dependent on other observed data.
Strengths of the present study include the large number of participants, making this among one of the largest studies on this issue, in-person interviews conducted by experienced interviewers, the relatively high response rates, and the comprehensiveness of data collection that allowed us to adjust for many potential confounders.
In order to ensure validity, robustness and comprehensiveness of the framework for data collection, data analysis and coding levels used, four external experts were requested to test it based on the initial data collected.
Our findings suggest that it is precisely this comprehensiveness that poses a problem for the data collection in MTUHA.
Data collection presented two distinct challenges relative to evidence generation: timeliness and comprehensiveness.
Data collection; (d).
J.M. supervised data collection.
Step 1: Data collection.
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