Evidence map›Paper›PMID 37498653›Full record

ArticleJMIR cancer2023

Identification of the Needs and Preferences of Patients With Cancer for the Development of a Clinic App: Qualitative Study.

Joachim Weis, Lucy Raphaela Wolf, Melanie Boerries, Daniela Kassahn, Martin Boeker, Carolin Dresch

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR cancer, 2023. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Who is your ideal peer mentor? A qualitative study to identify cancer patient preferences for a digital peer support app.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    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

6 authors.

Joachim WeisChair for Self-Help Research, Comprehensive Cancer Center, Medical Faculty, University Clinic Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0002-8646-6607
Lucy Raphaela WolfChair for Self-Help Research, Comprehensive Cancer Center, Medical Faculty, University Clinic Freiburg, Freiburg, Germany.ORCID https://orcid.org/0009-0007-0197-2871
Melanie BoerriesInstitut für Medizinische Bioinformatik und Systemmedizin, Medical Faculty University Freiburg, University Clinic Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0002-3670-0602
Daniela KassahnInstitut für Medizinische Bioinformatik und Systemmedizin, Medical Faculty University Freiburg, University Clinic Freiburg, Freiburg, Germany.ORCID https://orcid.org/0009-0005-3362-2417
Martin BoekerInstitute of Artificial Intelligence and Informatics in Medicine, Medical Center rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany.ORCID https://orcid.org/0000-0003-2972-2042
Carolin DreschUniversity of Education Freiburg, Freiburg, Germany.ORCID https://orcid.org/0000-0001-5593-2954

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile health (mHealth) tools were developed during the past decades and are increasingly used by patients in cancer care too. Scientific research in the development of mHealth services is required in order to meet the various needs of patients and test usability.

objectiveThe aim of this study is to assess patients' needs, preferences, and usability of an app (My University Clinic [MUC] app) developed by the Comprehensive Cancer Center Freiburg (CCCF) Germany.

methodsBased on a qualitative cross-sectional approach, we conducted semistructured interviews with patients with cancer, addressing their needs, preferences, and usability of the designed MUC app. Patients treated by the CCCF were recruited based on a purposive sampling technique focusing on age, sex, cancer diagnoses, and treatment setting (inpatient, outpatient). Data analysis followed the qualitative content analysis according to Kuckartz and was performed using computer-assisted software (MAXQDA).

resultsFor the interviews, 17 patients with cancer were selected, covering a broad range of sampling parameters. The results showed that patients expect benefits in terms of improved information about the disease and communication with the clinic staff. Demands for additional features were identified (eg, a list of contact persons and medication management). The most important concerns referred to data security and the potential restriction of personal contacts with health care professionals of the clinical departments of the CCCF. In addition, some features for improving the design of the MUC app with respect to usability or for inclusion of interacting tools were suggested by the patients.

conclusionsThe results of this qualitative study were discussed within the multidisciplinary team and the MUC app providers. Patients' perspectives and needs will be included in further development of the MUC app. There will be a second study phase in which patients will receive a test version of the MUC app and will be asked about their experiences with it.

trial registrationDeutsches Register Klinischer Studien DRKS00022162; https://drks.de/search/de/trial/DRKS00022162.

Indexed as

cancermHealthmobile appmobile healthneeds assessmentpatient-centered carepatient-reported outcome measuresPROMqualitative methods

Identifiers

PMID37498653
PMCPMC10415940

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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.