Title |
Exploring the utility and scalability of a telehomecare intervention for patients with chronic kidney disease undergoing peritoneal dialysis—a study protocol
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Published in |
BMC Nephrology, May 2017
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DOI | 10.1186/s12882-017-0557-y |
Pubmed ID | |
Authors |
Lianne Jeffs, Arsh Kumar Jain, Rachel HiuTung Man, Nike Onabajo, Laura Desveaux, James Shaw, Jennifer Hensel, Payal Agarwal, Marianne Saragosa, Trevor Jamieson, Ivy Wong, Maria Maione, R. Sacha Bhatia |
Abstract |
Chronic Kidney Disease (CKD) is a pressing global health concern that is placing increased strain on health care resources. CKD patients regularly receive peritoneal dialysis as a common CKD treatment. An emerging technological solution is telehomecare as way to support patients receiving PD in their homes. This study protocol outlines a mixed methods evaluation exploring a telehomecare developed to enhance CKD patients' outcomes and experiences. The study aims to assess the usability, acceptability and scalability of this virtual care application. A realist evaluation using an embedded case study design will be used to understand the usability, acceptability and scalability of a telehomecare application for patients with CKD undergoing PD. The realist evaluation that is further described in this paper is part of a larger evaluation of the eQ Connect™ intervention that includes a randomized, parallel-arm control trial aimed at determining if utilizing eQ Connect improves selected clinical outcomes for PD patients (CONNECT Trial). Potential implications of this study include elucidating which components of the intervention are most effective and under what conditions with a focus on the contextual influences. Collectively, our multi-method design will yield knowledge around how best to implement, sustain and spread the telehomecare application that will be useful to guide the development, implementation and evaluation of future virtual care applications aimed at improving the quality of care outcomes and experiences of patients. NCT02670512 . Registered: January 18, 2016. |
X Demographics
Geographical breakdown
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 112 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 15 | 13% |
Student > Master | 15 | 13% |
Student > Bachelor | 14 | 13% |
Researcher | 12 | 11% |
Other | 7 | 6% |
Other | 18 | 16% |
Unknown | 31 | 28% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 26 | 23% |
Nursing and Health Professions | 17 | 15% |
Psychology | 6 | 5% |
Computer Science | 4 | 4% |
Business, Management and Accounting | 3 | 3% |
Other | 18 | 16% |
Unknown | 38 | 34% |