Evidence map›Paper›PMID 28428168›Full record

ArticleJMIR research protocols2017

Testing the Feasibility and Usability of a Novel Smartphone-Based Self-Management Support System for Dialysis Patients: A Pilot Study.

Aki Hayashi, Satoko Yamaguchi, Kayo Waki, Katsuhito Fujiu, Norio Hanafusa, Takahiro Nishi, Hyoe Tomita, Haruka Kobayashi, Hideo Fujita, Takashi Kadowaki and 2 more

Abstract read
In one paragraph

Article in JMIR research protocols, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Adaptation of the hemodialysis self-management scale into Turkish culture: a psychometric study.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2025
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  11. Review
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  14. Current situation of telemedicine research for cardiovascular risk in Japan.Hypertension research : official journal of the Japanese Society of Hypertension · 2023
    Review
  15. Article
  16. Review
  17. [Digital nephrology].Der nephrologe · 2021
    Article
  18. Article
  19. Article
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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

12 authors.

Aki HayashiDepartment of Ubiquitous Health Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-5902-2859
Satoko YamaguchiDepartment of Ubiquitous Health Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0003-2822-2281
Kayo WakiDepartment of Ubiquitous Health Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0003-0046-2523
Katsuhito FujiuDepartment of Ubiquitous Health Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-1889-9291
Norio HanafusaDivision of Total Renal Care Medicine, The University of Tokyo Hospital, Tokyo, Japan.ORCID http://orcid.org/0000-0002-0563-3320
Takahiro NishiNishi Clinic, Tokyo, Japan.ORCID http://orcid.org/0000-0002-4623-4158
Hyoe TomitaYuujin Clinic, Tokyo, Japan.ORCID http://orcid.org/0000-0003-4394-1911
Haruka KobayashiBusiness Development of Healthcare Business Smart-Life Solutions Department, NTT DOCOMO, Inc, Tokyo, Japan.ORCID http://orcid.org/0000-0003-1703-1543
Hideo FujitaDepartment of Ubiquitous Health Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-4901-3502
Takashi KadowakiDepartment of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-5428-3582
Masaomi NangakuDivision of Nephrology and Endocrinology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0001-7401-2934
Kazuhiko OheDepartment of Biomedical Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-4296-9536

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiet and fluid restrictions that need continuous self-management are among the most difficult aspects of dialysis treatment. Smartphone applications may be useful for supporting self-management.

objectiveOur objective is to investigate the feasibility and usability of a novel smartphone-based self-management support system for dialysis patients.

methodsWe developed the Self-Management and Recording System for Dialysis (SMART-D), which supports self-monitoring of three mortality-related factors that can be modified by lifestyle: interdialytic weight gain and predialysis serum potassium and phosphorus concentrations. Data is displayed graphically, with all data evaluated automatically to determine whether they achieve the values suggested by the Japanese Society for Dialysis Therapy guidelines. In a pilot study, 9 dialysis patients used SMART-D system for 2 weeks. A total of 7 of them completed questionnaires rating their assessment of SMART-D's usability and their satisfaction with the system. In addition, the Kidney Disease Quality of Life scale was compared before and after the study period.

resultsAll 9 participants were able to use SMART-D with no major problems. Completion rates for body weight, pre- and postdialysis weight, and serum potassium and phosphorus concentrations were, respectively, 89% (SD 23), 95% (SD 7), and 78% (SD 44). Of the 7 participants who completed the usability survey, all were motivated by the sense of security derived from using the system, and 6 of the 7 (86%) reported that using SMART-D helped improve their lifestyle and self-management.

conclusionsUsing SMART-D was feasible, and the system was well regarded by patients. Further study with larger scale cohorts and longer study and follow-up periods is needed to evaluate the effects of SMART-D on clinical outcomes and quality of life.

Indexed as

hemodialysismobile phone appself-managementtelemedicine

Identifiers

PMID28428168
PMCPMC5418525

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Registered trials

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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.