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Existing telehealth systems have often restricted times of data entry rather than fitted with individual patient lifestyles, with frequent data errors requiring repeated data entry.
There was no variation between midwives in mean values of the data abstracted, and error rates were consistently <1% in repeated data entry checks.
There was no between-midwife variation in the mean values of the data abstracted, and error rates were consistently less than 1% in repeated data entry checks.
Additionally, 20% of the subjects were randomly selected for repeat data entry by another research assistant, and data discrepancies were resolved by independent source document verification by a senior medically-trained study team member.
No between-midwife variation in mean values of abstracted data and repeat data entry checks demonstrated error rates consistently <1%.
Exclusion criteria: 1) Repeated data sets.
Double data entry was performed to minimize entry errors.
All questionnaires were input by trained data entry personnel and data entry quality was assured by double data entry check.
Double data entry was performed and validated.
We performed a double data entry.
Paper-based systems require workers to have specific information competencies to deal with their shortcomings, especially in addressing issues such as transposing errors, repeated manual data entry, and a lack of advanced analytical tools.
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