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Chapter 4 - How to Collect Authentic Data

Published online by Cambridge University Press:  13 July 2023

Ramalingam Shanmugam
Ramalingam Shanmugam
Affiliation:
Texas State University, San Marcos
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Summary

In this chapter, methods to collect data from several reliable sources are articulated first. Then the importance of checking the authenticity of the data source is stated. Storing the collected data in Excel spreadsheets is vital. Refer to Hardin and Kotz (2020) for suggestions on improving data collection and amenability. Surging in popularity, mobile health (mHealth) apps foster research, clinical regimens, and individual well-being.

These procedures encourage proactivity and ongoing accountability for healthcare. For the purpose of addressing pertinent healthcare inquiries and quantifying health outcomes, information gathering and assessment on selected variables within a structure coalesce into a process called data collection, which is an essential step in research in all fields, including healthcare. While methods vary across disciplines, the emphasis of all data collection should be accuracy.

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Data-Guided Healthcare Decision Making , pp. 91 - 106
Publisher: Cambridge University Press
Print publication year: 2023

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