Evidence map›Paper›PMID 27703334›Full record

ArticlePatient preference and adherence2016

Patients' attitudes to the use of modern technologies in the treatment of diabetes.

Lucie Cerna, Petra Maresova

Abstract read
In one paragraph

Article in Patient preference and adherence, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Digital Diabetes Management: A Literature Review of Smart Insulin Pens.Journal of diabetes science and technology · 2022
    Review
  3. Article
  4. Article
  5. Could Robots Help Older People with Age-Related Nutritional Problems? Opinions of Potential Users.International journal of environmental research and public health · 2018
    Article
  6. 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

2 authors.

Lucie CernaDepartment of Economics, Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czech Republic.
Petra MaresovaDepartment of Economics, Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of diabetes is rising across the world. This global problem significantly affects the economic and social development in the 21st century. If the disease is diagnosed in time, the number of complications as well as the costs of therapy will be lower. Modern technologies permeate all spheres of medicine, and diabetes treatment is no exception. Therefore, the aim of this article is to analyze patients' attitudes to the use of modern technologies in the treatment of diabetes (type 1 diabetes mellitus [T1DM] and type 2 diabetes mellitus [T2DM]).

methodsA total of 313 respondents from the Czech Republic in the period from June 24, 2015, to July 24, 2015, participated in a questionnaire survey. The target group was diabetics regardless of the type of illness. Collected data were analyzed using descriptive statistical methods,

resultsAlthough in other areas mobile applications are used to monitor patients' health condition in ~30% of cases, in the case of diabetes they are used by only 4% of respondents. Approximately 8% of participants use an application, but they do not like it. The rest of the respondents have never used any mobile application. These low figures are due to a lack of knowledge about the availability and possibilities of mobile applications. A positive correlation was proven between technical skills and methods of entering data. Gender and age show only a weak dependency of the method of writing data on their own health condition. Furthermore, the monitored parameters show that patients with T1DM control and know more about their health condition than patients with T2DM, which is reflected, for example, by more frequent blood glucose measurements or larger track of their physical activity. Conversely, the relationship between the associated complications and self-care activities has not been demonstrated.

conclusionDespite the current fast development of modern technologies, these technologies are not frequently used in treating patients. The principal problem lies in patients' low technological knowledge and their higher age, which makes learning new skills, including the use of modern technologies, more difficult.

Indexed as

diabetes mellitusmodern technologiespatients’ attitudessurvey

Identifiers

PMID27703334
PMCPMC5038572

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.