Evidence map›Paper›PMID 31290400›Full record

ArticleJMIR mHealth and uHealth2019

Customizing the Types of Technologies Used by Patients With Type 1 Diabetes Mellitus for Diabetes Treatment: Case Series on Patient Experience.

Anna Holubová, Martina Vlasáková, Jan Mužík, Jan Brož

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Perceptions of Using Multiple Mobile Health Devices to Support Self-Management Among Adults With Type 2 Diabetes: A Qualitative Descriptive Study.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2021
    Trial
  2. Factors Affecting Telehealth Consultation in Diabetic Patients: A Systematic Scoping Review.International journal of telemedicine and applications · 2026
    Review
  3. Article
  4. 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

4 authors at 1 institution in 1 country.

Anna HolubováSpin-off Company and Research Results Commercialization Center, First Faculty of Medicine, Charles University, Prague, Czech Republic.ORCID 0000-0003-4109-6670
Martina VlasákováSpin-off Company and Research Results Commercialization Center, First Faculty of Medicine, Charles University, Prague, Czech Republic.ORCID 0000-0001-7445-461X
Jan MužíkSpin-off Company and Research Results Commercialization Center, First Faculty of Medicine, Charles University, Prague, Czech Republic.ORCID 0000-0002-4851-7899
Jan BrožDepartment of Internal Medicine, Second Faculty of Medicine, Charles University, Prague, Czech Republic.ORCID 0000-0003-2465-7333
Charles University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the fact there are many wearable and mobile medical devices that enable patients to better self-manage their diabetes, not many patients are aware of all the options they have. In addition, there are those who are not fully satisfied with the devices they use, and those who often do not use them effectively.

objectiveThe study aimed to propose possible changes to the combination of devices used by 6 specific patients for diabetes self-management. We assessed the suitability of selected technical devices for diabetes control.

methodsData of 6 patients (3 men and 3 women) with type 1 diabetes mellitus, who had been using the Diani telemedicine system for at least 3 months, were analyzed. The suitability of selected technical devices for diabetes control was ascertained using the data obtained via the Diani telemedicine system, as well as the patients' subjective feelings and statements, their everyday life habits, and self-management of diabetes. Informed consent was signed and obtained from each of the patients included.

resultsEach of the presented case studies describes how a given patient handled the system and its specific components based on his or her lifestyle, level of education, habits related to diabetes management, personality type, and other factors. At the conclusion of each case study, the best composition of devices for patients with similar personal descriptions was suggested.

conclusionsWe believe this study can provide relevant guidance on how to help particular patients choose the technology that is best suited for their needs, based on the specific patient information we are able to obtain from them. Furthermore, clinicians or educators should be aware of available technologies a given patient can choose from. In addition, there is a substantial need for proper patient education in order for them to effectively use devices for diabetes self-management.

Indexed as

Disease ManagementAdultAged, 80 and overDiabetes Mellitus, Type 1FemaleGlycated HemoglobinHumansMaleMiddle AgedSelf-ManagementTelemedicineGlycated Hemoglobinhemoglobin A1c protein, humaneducationself-managementtechnologytelemedicinetype 1 diabetes mellituswearable electronic devices

Identifiers

PMID31290400
PMCPMC6647757
OpenAlexW2944465784

What Socratic 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 Socratic graph.