Objective: To describe a consent-based Patient Research Registry designed to improve the quality and efficiency of cognitive rehabilitation research by balancing patients' privacy rights with researchers' need for access to research participants.

Design: Description of a protocol for a Patient Research Registry.

Setting: Three rehabilitation hospitals.

Participants: Inpatients with stroke or traumatic brain injury (TBI) at the 3 participating hospitals.

Interventions: Not applicable.

Main Outcome Measures: Percentages of eligible patients with stroke or TBI who consented to be enrolled in the Registry, were subsequently contacted about a study, and ultimately participated in a study. A survey examined satisfaction with the Registry among researchers who used it for recruitment.

Results: After 36 months of operation, 58% of patients approached have consented to be in the Registry (N=1256). Eighty-seven percent of those later identified as potential subjects for research studies expressed interest, and 63% eventually participated. Researchers reported satisfaction with the recruitment opportunities afforded by the Registry.

Conclusions: The Registry succeeded in identifying eligible patients interested in participating in research studies, while safeguarding their privacy rights. We identify its strengths and limitations and characterize the type of facility that would most profit from adopting this recruitment model.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.apmr.2005.03.009DOI Listing

Publication Analysis

Top Keywords

privacy rights
12
patient registry
8
cognitive rehabilitation
8
balancing patients'
8
patients' privacy
8
rights researchers'
8
researchers' access
8
eligible patients
8
registry
5
registry cognitive
4

Similar Publications

Does education increase ethical sensitivity a semi-experimental study.

Sci Rep

January 2025

Faculty of Medicine History of Medicine and Ethics Department, Yuksek Ihtisas University, Ankara, Turkey.

Ethics education plays a crucial role in enhancing the ethical sensitivity of nursing students. This study aimed to assess the impact of an ethics course on the ethical sensitivity levels of nursing students. In this study, one-group pretest-posttest semi-experimental design method is used.

View Article and Find Full Text PDF

Background: Despite existing policies promoting companionship, it remains uncommon in Tanzania. Pregnant women select a trusted individual to accompany them during childbirth, providing emotional, physical, and spiritual support. The World Health Organization recommends birth companionship as integral to intrapartum care for positive maternal and fetal outcomes.

View Article and Find Full Text PDF

Background: Recent advances in automatic face recognition have increased the risk that de-identified research imaging data could be re-identified from face imagery in brain scans.

Method: An ADNI committee of independent imaging experts evaluated 11 published techniques for face-deidentification ("de-facing") and selected four algorithms (FSL-UK Biobank, HCP/XNAT, mri_reface, and BIC) for formal testing using 183 longitudinal scans of 61 racially and ethnically diverse ADNI participants, evaluated by their facial feature removal on 3D rendered surfaces (confirming sufficient privacy protection) and by comparing measurements from ADNI routine image analyses on unmodified vs. de-faced images (confirming negligible side effects on analyses).

View Article and Find Full Text PDF

Background: Recent advances in automatic face recognition have increased the risk that de-identified research imaging data could be re-identified from face imagery in brain scans.

Method: An ADNI committee of independent imaging experts evaluated 11 published techniques for face-deidentification ("de-facing") and selected four algorithms (FSL-UK Biobank, HCP/XNAT, mri_reface, and BIC) for formal testing using 183 longitudinal scans of 61 racially and ethnically diverse ADNI participants, evaluated by their facial feature removal on 3D rendered surfaces (confirming sufficient privacy protection) and by comparing measurements from ADNI routine image analyses on unmodified vs. de-faced images (confirming negligible side effects on analyses).

View Article and Find Full Text PDF

[Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data].

Sheng Li Xue Bao

December 2024

Virtual Simulation and Artificial Intelligence Committee, Chinese Association for Physiological Sciences.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!