Evidence map›Paper›PMID 33522934›Full record

ArticleBMC medical informatics and decision making2021

Use and preferences regarding internet-based health care delivery in patients with chronic kidney disease.

Lena Schiffer, Raoul Gertges, Mariel Nöhre, Elisabeth Schieffer, Uwe Tegtbur, Lars Pape, Martina de Zwaan, Mario Schiffer

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. [Long-term physical and psychological consequences of chronic kidney disease].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2022
    Review
  8. 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

8 authors at 2 institutions in 1 country.

Lena SchifferDepartment of Pediatric Kidney, Liver and Metabolic Diseases, Hannover Medical School, Carl Neuberg Str. 1, 30625, Hannover, Germany. schiffer.lena@mh-hannover.de.ORCID 0000-0003-1616-8636
Raoul GertgesProject Kidney Transplantation 360°, Hannover Medical School, Hannover, Germany.
Mariel NöhreDepartment of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hannover, Germany.
Elisabeth SchiefferProject Kidney Transplantation 360°, Hannover Medical School, Hannover, Germany.
Uwe TegtburProject Kidney Transplantation 360°, Hannover Medical School, Hannover, Germany.
Lars Pape *Department of Pediatric Kidney, Liver and Metabolic Diseases, Hannover Medical School, Carl Neuberg Str. 1, 30625, Hannover, Germany.
Martina de Zwaan *Department of Psychosomatic Medicine and Psychotherapy, Hannover Medical School, Hannover, Germany.
Mario Schiffer *Department of Nephrology, University Hospital, Friedrich-Alexander University, Erlangen, Germany.
Medizinische Hochschule Hannover · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DE

Funding

Federal Joint Committee of the Federal Republic of Germany 01NVF16009
6 · The paper itself

Abstract

BACKGROUND AND

objectivesInternet-based technologies play an increasingly important role in the management and outcome of patients with chronic kidney disease (CKD). The healthcare system is currently flooded with digital innovations and internet-based technologies as a consequence of the coronavirus disease 2019 (COVID-19) pandemic. However, information about the attitude of German CKD-patients with access to online tools towards the use of remote, internet-based interactions such as video conferencing, email, electronic medical records and apps in general and for health issues in particular, are missing. DESIGN, SETTING, PARTICIPANTS, AND MEASUREMENTS: To address the use, habits and willingness of CKD patients in handling internet-based technologies we conducted a nationwide cross-sectional questionnaire survey in adults with CKD.

resultsWe used 380 questionnaires from adult CKD patients (47.6% on dialysis, 43.7% transplanted and 8.7% CKD before renal replacement therapy) for analysis. Of these 18.9% denied using the internet at all (nonusers). Nonusers were significantly older (74.4 years, SD 11.4) than users (54.5 years, SD 14.5, p < 0.001), had a lower educational level than users (≥ 12 years: 6.9% versus 47.1%, p < 0.001) and were more often on dialysis. Within the group of internet users only a minority (2.6%) was using video conferencing with their physician, only 11.7% stated that they were using email to report symptoms and 26.6% were using the internet to schedule appointments. Slightly more than one-third of internet users (35.1%) are concerned that their personal medical data are not safe when submitted via the internet.

conclusionsWithin our group of German CKD-patients we found that almost one out of five patients, especially older patients and patients with a lower educational level, did not use the internet at all. The majority of internet users reported in our survey that they have not used internet-based technologies within a medical context so far, but are willing to consider it. Therefore, it seems to be important to introduce and teach motivated CKD-patients the use and benefits of simple and safe internet-based health care technologies.

Indexed as

Patient PreferenceRenal Insufficiency, ChronicTelemedicineAdolescentAdultAgedCOVID-19Cross-Sectional StudiesFemaleGermanyHealth Care SurveysHumansMaleMiddle AgedYoung AdultChronic kidney disease (CKD)Coronavirus disease 2019 (COVID-19)eHealthInternet-based technologiesVideo conferencing

Identifiers

PMID33522934
PMCPMC7848877
OpenAlexW3126703105

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.