ASN's Mission

To create a world without kidney diseases, the ASN Alliance for Kidney Health elevates care by educating and informing, driving breakthroughs and innovation, and advocating for policies that create transformative changes in kidney medicine throughout the world.

learn more

Contact ASN

1401 H St, NW, Ste 900, Washington, DC 20005

email@asn-online.org

202-640-4660

The Latest on X

Kidney Week

Please note that you are viewing an archived section from 2020 and some content may be unavailable. To unlock all content for 2020, please visit the archives.

Abstract: FR-OR12

Correlation Between Patient Activation and Quality of Life Among Patients with CKD

Session Information

Category: CKD (Non-Dialysis)

  • 2102 CKD (Non-Dialysis): Clinical, Outcomes, and Trials

Authors

  • Dauleh, Mujahed Maher Issa, Penn State College of Medicine, Hershey, Pennsylvania, United States
  • Ghahramani, Aria, Penn State College of Medicine, Hershey, Pennsylvania, United States
  • Zebi, Ali Mohammed, Penn State College of Medicine, Hershey, Pennsylvania, United States
  • Ghahramani, Nasrollah, Penn State College of Medicine, Hershey, Pennsylvania, United States
Background

Quality of Life (QOL) is an important outcome in patients with chronic kidney disease (CKD). We have previously demonstrated that online peer mentoring (PM) improves patient activation and QOL. In this study, we evaluate the correlation between patient activation and QOL among patients with CKD who received online PM.

Methods

We randomized 155 patients with stage 4 or stage 5 CKD to one of 3 groups: online PM, face-to-face (FTF) PM, or usual care. Participants in all 3 groups received a book that contained detailed information about kidney disease. Participants assigned to intervention groups received 6 months of PM, either FTF or through a secure online platform. At baseline and at 18 months, the participants completed the Patient Activation Measure® (PAM) and the Kidney Disease QOL-36 (KDQOL-36) instrument. We used linear mixed effect models to estimate the slope of change of PAM and subsets of KDQOL over time. We then calculated the correlation between PAM and individual subscales of KDQOL by Pearson’s Correlation Coefficient. We used SAS, version 9.4 (SAS Institute Inc., Cary, NC) for data analysis.

Results

Baseline KDQOL-36 and PAM scores, as well as demographic characteristics were similar among the 3 groups. Among the online PM group, there was a statistically significant improvement in:
1. The mean PAM score between baseline and 18 months (Slope estimate [SE]: 5.65; 95% confidence interval [CI]: 2.75, 8.52; P= 0.0001).
2. The following components of the KDQOL-36 score: Effects of Kidney Disease (EKD) (SE: 4.13; CI: 0.87, 7.4; P= 0.01); Burden of Kidney Disease (BKD) (SE: 5.44; CI: 1.24, 9.64; P= 0.01); Symptoms and Problems of Kidney Disease (SPKD) (SE: 6.00; CI: 3.09, 8.91; p= 0.006); SF-12 Physical Composite Score (PCS) (SE: 2.50; CI: 0.95, 4.06; P= 0.002); SF-12 Mental Composite Score (MCS) (SE: 3.46; CI: 1.78, 5.13; P<0.0001).
Among the online PM group, the improvement in PAM was correlated with improvements in 4 components of the KDQOL-36: EKD (Pearson Coefficient [PC]: 0.36; p=0.04); BKD (PC: 0.44; p=0.01); SPKD (PC: 0.47; p=0.005), PCS (PC: 0.35; p=0.04). There was no correlation between PAM and MCS.

Conclusion

Among CKD patients who receive online PM, there is a correlation between the improvements in PAM and KDQOL, suggesting that improved QOL may be a result of improved activation.
Funding: PCORI