Abstract: FR-PO1037
Social Risk Factors and Quality of Life in Patients on Hemodialysis
Session Information
- Social, Environmental, and Economic Determinants of Kidney Health
October 25, 2024 | Location: Exhibit Hall, Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Diversity and Equity in Kidney Health
- 900 Diversity and Equity in Kidney Health
Authors
- Yetman, Hailey, Icahn School of Medicine at Mount Sinai, New York, New York, United States
- Wen, Huei Hsun, Icahn School of Medicine at Mount Sinai, New York, New York, United States
- Wang, Lin-Chun, Renal Research Institute, New York, New York, United States
- Dong, Zijun, Renal Research Institute, New York, New York, United States
- Tisdale, Lela, Renal Research Institute, New York, New York, United States
- Foby, Yvette, Renal Research Institute, New York, New York, United States
- Olagoke, Mariam M., Renal Research Institute, New York, New York, United States
- Thijssen, Stephan, Renal Research Institute, New York, New York, United States
- Kotanko, Peter, Renal Research Institute, New York, New York, United States
- Nadkarni, Girish N., Icahn School of Medicine at Mount Sinai, New York, New York, United States
- Chan, Lili, Icahn School of Medicine at Mount Sinai Department of Medicine, New York, New York, United States
Background
Hemodialysis (HD) patients often have lower quality of life (QoL) than non-HD patients. While social risk (SR) factors are linked to poor health and low QoL, their association with QoL in HD patients remains unstudied.
Methods
We surveyed HD patients at five dialysis units using the Kidney Disease Quality of Life (KDQOL) and the AHC Health-Related Social Needs Screening Tool (AHC-HRSN), evaluating their access to housing, food, transportation, utilities, and safety. We calculated physical component score (PCS), mental component score (MCS), burden score, symptoms of kidney disease score, and effect of kidney disease score using the KDQOL. Lower scores indicate an increased negative impact of kidney disease. The relationship between unmet SR and each of the sub-scores was investigated using the two-tailed Wilcoxon Rank Sum test.
Results
We studied 324 patients; high burdens of unmet SR were observed (Fig. 1A). Lower PCS and lower symptom scores were significantly associated with having at least one unmet SR factor, specifically in housing, food, and transportation insecurity (Fig. 1B, C). Lower MCS was significantly linked to having at least one unmet SR factor, including housing insecurity and unsafe environments (Fig. 1D). Lower burden score was significantly related to experiencing at least one unmet SR factor, including housing, food, transportation, and utilities insecurity (Fig. 1E). Lower effect score was significantly linked to having any unmet SR (Fig. 1F).
Conclusion
Unmet SR factors are common and associated with lower QoL in HD patients. Improved screening and attempts to address unmet SR may improve QoL in HD patients.
Funding
- NIDDK Support