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The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.

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E-Patient Counseling Trial E-PACO: Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy

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How to Prevent the Drop-Out: Understanding Why Adults Participate in Summative eHealth Evaluations.

Marian Z M Hurmuz^1,2, Stephanie M Jansen-Kosterink^1,2, Lex van Velsen^1,2

¹Roessingh Research and Development, Roessinghsbleekweg 33B, 7522 AH Enschede, The Netherlands.

Journal of Healthcare Informatics Research

|March 13, 2023

Summary

Adults

Keywords:

Drop-out Participants Research participation Summative evaluation eHealth

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Area of Science:

Digital Health
Health Services Research

Background:

Summative evaluations of electronic health (eHealth) services are crucial for assessing their effectiveness.
Understanding participant motivation is key to interpreting evaluation outcomes accurately.

Purpose of the Study:

To investigate adult motivations for participating in summative eHealth evaluations.
To determine if these motivations influence the actual use of eHealth services post-evaluation.

Main Methods:

A questionnaire was administered to 131 adult participants (≥18 years) in summative eHealth evaluations.
Data collected included reasons for enrollment, expectations, and study outcome.
Generalized estimating equations were used to analyze the relationship between motivation type and eHealth service use.

Main Results:

Health-related reasons, such as increasing physical activity, were the most common motivations for participation.
Participants with intellectual motivations were more likely to discontinue eHealth use compared to those with altruistic motivations.
A significant portion (38.6%) reported their expectations were met by the evaluation.

Conclusions:

Participant motivation significantly impacts the results of summative eHealth evaluations.
Evaluators should consider participant motivations, as altruistic motivations can lead to biased results due to continued engagement.
Tailoring recruitment and evaluation strategies to participant motivations may improve the validity of eHealth research.