Evidence map›Paper›PMID 28851680›Full record

ArticleJMIR human factors2017

Remote Monitoring Systems for Chronic Patients on Home Hemodialysis: Field Test of a Copresence-Enhanced Design.

Na Liu, Jinman Kim, Younhyun Jung, Adani Arisy, Mary Ann Nicdao, Mary Mikaheal, Tanya Baldacchino, Mohamed Khadra, Kamal Sud

Open access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
3.5field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Article
  4. Advances in Human-Centered Care to Address Contemporary Unmet Needs in Chronic Dialysis.International journal of nephrology and renovascular disease · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Emotion sharing in remote patient monitoring of patients with chronic kidney disease.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Na LiuSchool of Information Technologies, Sydney, Australia.ORCID http://orcid.org/0000-0003-1046-0775
Jinman KimBiomedical and Multimedia Information Technology (BMIT) Group, School of Information Technologies, Sydney, Australia.ORCID http://orcid.org/0000-0001-5960-1060
Younhyun JungBiomedical and Multimedia Information Technology (BMIT) Group, School of Information Technologies, Sydney, Australia.ORCID http://orcid.org/0000-0003-0552-2281
Adani ArisyBiomedical and Multimedia Information Technology (BMIT) Group, School of Information Technologies, Sydney, Australia.ORCID http://orcid.org/0000-0002-8248-5894
Mary Ann NicdaoHome Haemodialysis Unit, Regional Dialysis Centre, Blacktown Hospital, Sydney, Australia.ORCID http://orcid.org/0000-0002-8849-0811
Mary MikahealHome Haemodialysis Unit, Regional Dialysis Centre, Blacktown Hospital, Sydney, Australia.ORCID http://orcid.org/0000-0002-7944-3837
Tanya BaldacchinoNepean Telehealth Technology Centre, Nepean Hospital, Kingswood, Sydney, Australia.ORCID http://orcid.org/0000-0002-8247-7704
Mohamed KhadraBiomedical and Multimedia Information Technology (BMIT) Group, School of Information Technologies, Sydney, Australia.ORCID http://orcid.org/0000-0001-8285-1973
Kamal SudHome Haemodialysis Unit, Regional Dialysis Centre, Blacktown Hospital, Sydney, Australia.ORCID http://orcid.org/0000-0001-7648-007X
University of Technology Sydney · AUBlacktown & Mount Druitt Hospital · AUInformation and Communication Technologies Centre · AUNepean Hospital · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients undertaking long-term and chronic home hemodialysis (HHD) are subject to feelings of isolation and anxiety due to the absence of physical contact with their health care professionals and lack of feedback in regards to their dialysis treatments. Therefore, it is important for these patients to feel the "presence" of the health care professionals remotely while on hemodialysis at home for better compliance with the dialysis regime and to feel connected with health care professionals.

objectiveThis study presents an HHD system design for hemodialysis patients with features to enhance patient's perceived "copresence" with their health care professionals. Various mechanisms to enhance this perception were designed and implemented, including digital logbooks, emotion sharing, and feedback tools. The mechanism in our HHD system aims to address the limitations associated with existing self-monitoring tools for HHD patients.

methodsA field trial involving 3 nurses and 74 patients was conducted to test the pilot implementation of the copresence design in our HHD system. Mixed method research was conducted to evaluate the system, including surveys, interviews, and analysis of system data.

resultsPatients created 2757 entries of dialysis cases during the period of study. Altogether there were 492 entries submitted with "Very Happy" as the emotional status, 2167 entries with a "Happy" status, 56 entries with a "Neutral" status, 18 entries with an "Unhappy" status, and 24 entries with a "Very unhappy" status. Patients felt assured to share their emotions with health care professionals. Health care professionals were able to prioritize the review of the entries based on the emotional status and also felt assured to see patients' change in mood. There were 989 entries sent with short notes. Entries with negative emotions had a higher percentage of supplementary notes entered compared to the entries with positive and neutral emotions. The qualitative data further showed that the HHD system was able to improve patients' feelings of being connected with their health care professionals and thus enhance their self-care on HHD. The health care professionals felt better assured with patients' status with the use of the system and reported improved productivity and satisfaction with the copresence enhancement mechanism. The survey on the system usability indicated a high level of satisfaction among patients and nurses.

conclusionsThe copresence enhancement design complements the conventional use of a digitized HHD logbook and will further benefit the design of future telehealth systems.

Indexed as

co-presence enhancementdesignhome hemodialysisremote-monitoring

Identifiers

PMID28851680
PMCPMC5596297
OpenAlexW2752006135

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.