Using Patient-Generated Health Data for Managing Low Anterior Resection Syndrome
Author Information
Author(s): Monton Olivia, Smith Allister, Sabboobeh Sarah, Demian Marie, Cornish Julie, Wexner Steven D., Christensen Peter, Ghuman Amandeep, Bordeianou Liliana G., Keane Celia, Husain Syed, Gasior Alessandra, Leon Natalie, Savard Julie, Savitt Lieba R., Majgaard Margit, Sørensen Gitte Kjær, Mills Melanie, Rajabiyazdi Fateme, Boutros Marylise
Primary Institution: McMaster University
Hypothesis
What are the perspectives and experiences of LARS experts regarding the use of patient-generated health data in the management of LARS?
Conclusion
The study identifies gaps in the processes of patient-generated LARS data collection and review, suggesting that a clinical tool could help address these gaps.
Supporting Evidence
- Most experts recommended that patients collect some form of patient-generated health data.
- Data collection was perceived as clinician-initiated in most cases.
- Participants highlighted time constraints and legibility as barriers to reviewing patient data.
- Experts felt that PGHD could help clinicians understand symptoms and assist patients with self-management.
Takeaway
Doctors and nurses think that collecting health data from patients can help them manage a condition called low anterior resection syndrome better.
Methodology
The study used purposive snowball sampling to conduct semi-structured interviews with LARS experts and performed thematic analysis.
Limitations
The study's findings may not be applicable to low- and middle-income countries and only included healthcare providers, not patients.
Participant Demographics
Participants included 16 LARS experts from five countries, with a majority being female and having extensive experience in managing LARS patients.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website