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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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[Internet use in clinical trials].

P Refolo¹, D Sacchini¹, R Minacori¹

¹Istituto di Bioetica, Facoltà di Medicina e chirurgia "A. Gemelli", Università Cattolica del Sacro Cuore, Roma, Italia.

La Clinica Terapeutica

|March 5, 2014

Summary

This summary is machine-generated.

Recruiting patients for clinical trials faces challenges, but internet recruitment offers benefits like cost savings. However, online methods also introduce ethical concerns regarding data privacy and participant consent.

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Area of Science:

Clinical Research
Health Informatics
Bioethics

Background:

Patient recruitment is a critical bottleneck in clinical research.
Traditional recruitment methods have shown limited efficacy.
The internet presents a significant opportunity to improve clinical trial recruitment.

Purpose of the Study:

To discuss the general difficulties in patient recruitment for clinical research.
To specifically address the challenges and benefits of online recruitment (e-recruitment).
To explore the ethical issues associated with internet-based patient enrollment.

Main Methods:

Literature review and discussion of existing recruitment strategies.
Analysis of the advantages and disadvantages of e-recruitment services.
Examination of ethical considerations in online clinical trial enrollment.

Main Results:

E-recruitment offers advantages such as improved interaction, cost savings, and reduced data errors.
Significant ethical issues arise with e-recruitment, including sampling, informed consent, and data security.
The efficacy of traditional recruitment methods remains questionable.

Conclusions:

While e-recruitment presents opportunities for clinical trial recruitment, careful consideration of ethical implications is paramount.
Addressing challenges related to sampling, consent, and data breaches is crucial for successful online enrollment.
Further research and ethical guidelines are needed to optimize internet-based patient recruitment.