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SURVEY OF STAFF OPINIONS ABOUT EXTENDED HAEMODIALYSIS TREATMENT TIME AND SERVICE IMPLICATIONS
Seema Singh1, Susan Procter2, Albert Power3
1Imperial College Healthcare NHS Trust, Renal and Transplant Services, Hammersmith Hospital, London, UK.
Staff attitudes and service limitations hinder extended haemodialysis (HD) treatment times, despite perceived clinical benefits. Flexible settings like home HD may improve patient recruitment for clinical trials on longer dialysis durations.
Area of Science:
- Nephrology
- Clinical Trial Recruitment
- Healthcare Service Delivery
Background:
- Investigated staff opinions and service provision impacting patient recruitment for clinical trials on extended haemodialysis (HD) treatment time (TT).
- Clinical trial focused on comparing six-hour versus four-hour TT over twenty-four weeks.
Purpose of the Study:
- To assess the influence of healthcare staff perspectives and service constraints on patient willingness to enroll in extended haemodialysis treatment trials.
- To understand staff views on the clinical benefits, tolerance, prescription, and accommodation of extended TT in in-center HD programs.
Main Methods:
- Conducted a local survey of dialysis nurses and a national survey of multidisciplinary HD staff.
- Assessed opinions on clinical benefits, tolerance, prescription, and feasibility of extended TT in in-center HD.
Main Results:
- Majority of respondents viewed extended TT as clinically beneficial.
- Significant difference in recommendation rates: 42% of nurses vs. 95% of non-nursing professionals (p < 0.0001).
- Nurses cited negative impacts on service provision, shift management, and session availability.
Conclusions:
- A discrepancy exists between the recognized clinical benefits of extended TT and its actual prescription and delivery.
- Staff attitudes and service provision significantly influence enrollment in HD delivery strategy studies.
- Flexible settings, such as home HD, may be necessary to accommodate longer treatment times, moving beyond traditional in-center models.
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