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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring the utility and scalability of a telehomecare intervention for patients with chronic kidney disease undergoing peritoneal dialysis—a study protocol
|
|---|---|
| Published in |
BMC Nephrology, May 2017
|
| 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
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| 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 % |
|---|---|---|
| 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% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 May 2017.
All research outputs
#18,547,867
of 22,971,207 outputs
Outputs from BMC Nephrology
#1,894
of 2,493 outputs
Outputs of similar age
#236,852
of 310,791 outputs
Outputs of similar age from BMC Nephrology
#52
of 66 outputs
Altmetric has tracked 22,971,207 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,493 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 310,791 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.