Evidence map›Paper›PMID 24194946›Full record

ArticlePloS one2013

User profiles of a smartphone application to support drug adherence--experiences from the iNephro project.

Stefan Becker, Andreas Kribben, Sven Meister, Clarissa Jonas Diamantidis, Nicole Unger, Anna Mitchell

Abstract readEvaluation Study
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Predictors of Utilization of a Novel Smoking Cessation Smartphone App.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2015
    Trial
  6. Trial
  7. Article
  8. Article
  9. Potential Increasing Trend in Schizophrenia Relapse Prevention in the Past 40 Years: A Bibliometric Analysis.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2024
    Review
  10. Article
  11. Article
  12. Review
  13. Smartphone-based application for self-management of patients with colorectal cancer: development and usability evaluation.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Article
  14. Effects of Dietary App-Supported Tele-Counseling on Sodium Intake, Diet Quality, and Blood Pressure in Patients With Diabetes and Kidney Disease.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2022
    Article
  15. Article
  16. Mobile Health (mHealth) Technology: Assessment of Availability, Acceptability, and Use in CKD.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2021
    Article
  17. [Medical ID and emergency apps: A useful tool in emergency situations or a waste of time?]Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2021
    Article
  18. Article
  19. Article
  20. Observational
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

6 authors.

Stefan BeckerDepartment of Internal Medicine I, Marienhospital Herne, University Hospital, Ruhr University Bochum, Herne, Germany ; Department of Nephrology, University Duisburg-Essen, Essen, Germany.
Andreas Kribben
Sven Meister
Clarissa Jonas Diamantidis
Nicole Unger
Anna Mitchell

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOne of the key problems in the drug therapy of patients with chronic conditions is drug adherence. In 2010 the initiative iNephro was launched (www.inephro.de). A software to support regular and correct drug intake was developed for a smartphone platform (iOS). The study investigated whether and how smartphone users deployed such an application.

methodsTogether with cooperating partners the mobile application "Medikamentenplan" ("Medication Plan") was developed. Users are able to keep and alter a list of their regular medication. A memory function supports regular intake. The application can be downloaded free of charge from the App Store™ by Apple™. After individual consent of users from December 2010 to April 2012 2042338 actions were recorded and analysed from the downloaded applications. Demographic data were collected from 2279 users with a questionnaire.

resultsOverall the application was used by 11688 smartphone users. 29% (3406/11688) used it at least once a week for at least four weeks. 27% (3209/11688) used the application for at least 84 days. 68% (1554/2279) of users surveyed were male, the stated age of all users was between 6-87 years (mean 44). 74% of individuals (1697) declared to be suffering from cardiovascular disease, 13% (292) had a previous history of transplantation, 9% (205) were suffering from cancer, 7% (168) reported an impaired renal function and 7% (161) suffered from diabetes mellitus. 69% (1568) of users were on <6 different medications, 9% (201) on 6 - 10 and 1% (26) on more than 10.

conclusionA new smartphone application, which supports drug adherence, was used regularly by chronically ill users with a wide range of diseases over a longer period of time. The majority of users so far were middle-aged and male.

Indexed as

Cell PhoneMedication AdherenceChronic DiseaseFemaleGermanyHumansMaleMobile ApplicationsSurveys and QuestionnairesUser-Computer Interface

Identifiers

PMID24194946
PMCPMC3806829

What OpenQuestion holds

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LicenceCC BY
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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.