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. 2017 Jun 7;7(1):2985.
doi: 10.1038/s41598-017-02815-9.

The Effects of e-interventions on the Medical Outcomes of Hemodialysis Patients: A Retrospective Matched Patient Cohort Study

Chang-Chyi Jenq  1   2 , Cheng-Chieh Hung  1   2 , Kuo-Chang Juan  3 , Kuang-Hung Hsu  4   5   6
Affiliations

The Effects of e-interventions on the Medical Outcomes of Hemodialysis Patients: A Retrospective Matched Patient Cohort Study

Chang-Chyi Jenq et al. Sci Rep. .

Abstract

Aggressively applying e-interventions in the health care industry has become a global trend to improve the quality of medical care. The present retrospective study evaluated the effect of electronic information systems on the quality of medical care provide to hemodialysis (HD) patients. In total, 600 patients (300 patients each in the e-intervention and non-e-intervention groups, were matched for sex, age, HD duration, diabetes, and hypertension) receiving HD at the study institute for four years were included in this study. The e-intervention group had significantly fewer hospitalization days than the non-e-intervention group. Cox regression analysis demonstrated that the non-e-intervention group had a significantly higher mortality rate than the e-intervention group. Stratified analysis revealed significant differences between the e-intervention and non-e-intervention groups in their serum albumin levels, urea reduction ratios, and cardiothoracic ratios at 1-year follow-up. The patients in the e-intervention group had a significantly higher HD blood flow rate, fewer hospitalization days and a lower 4-year all-cause mortality rate than those in the non-e-intervention group. The implementation of the e-intervention improved patient outcomes, but additional studies are required to evaluate the cost effectiveness of such implementations.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Figure 1
Figure 1
Survival functions Kaplan-Meier survival analysis in the 600 patients according to e-intervention or not showed four-year survival curve and number at risk table.
Figure 2
Figure 2
The consort diagram of study samples.
Figure 3
Figure 3
The architecture of the information systems utilized in this study.
Figure 4
Figure 4
The time regimens of the study groups classified by e-intervention.
See this image and copyright information in PMC

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