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If there was more than one missing item in the IPS or more than 30% of items missing in one whole data set of one patient or health care professional, the data set was excluded; otherwise, data was imputed by means of the expectation maximisation algorithm, which is one of the recommended methods to avoid bias even in cases of data missing at random (MAR) [ 38].
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Those health professionals who were not active in their professional during the data collection period were excluded.
For professional athletes the data gathered should be seen to decrease.
Over nearly two years, a group ranging from engineers to geologists to political scientists to anthropologists and public-health professionals explored the data related to disasters in the United States.
Eight trained health professionals collected the data.
Survey professionals collected the data using computer-assisted telephone interviews.
The questionnaire was evaluated by pediatricians and public health professionals before the data collection.
Trained professionals did the data collection in 2008 from 29 HCs in Addis Ababa.
Professionals submitting the data included surgeons, nurse specialists, specialist registrars, and clinical fellows.
For establishing the effectiveness of the project, the researchers needed to be informed by the professionals about the data from the follow-up.
When completing the checklist all information available should be used by the health professionals assessing the data (e.g., written records, direct observation and respondent).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com