Evidence map›Paper›PMID 37160467›Full record

ReviewDiscover oncology2023

Mobile care app development process: using the ADDIE model to manage symptoms after breast cancer surgery (step 1).

Aydanur Aydin, Ayla Gürsoy, Hasan Karal

Abstract readReview
In one paragraph

Review in Discover oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Effectiveness of mobile-based monitoring system (ONKOSIS) in the management of chemotherapy-related symptoms: a randomized controlled trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Trial
  2. Article
  3. Article
  4. A bibliometric analysis of mobile health in breast cancer care: trends, impact, and future directions.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  5. Article
  6. Article
  7. Article
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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

3 authors.

Aydanur AydinFaculty of Health Sciences, Nursing Department, Gumushane University, Gumushane, Turkey. aydin.aydanur@hotmail.com.
Ayla GürsoyFaculty of Health Sciences, Nursing Department, Antalya Bilim University, Antalya, Turkey.
Hasan KaralFaculty of Education, Computer and Instructional Technologies Education, Trabzon University, Trabzon, Turkey.

Funding

SANERC Foundation 2019/4
6 · The paper itself

Abstract

The use of mobile applications is widespread in patient monitoring or education today. This study aims to describe the design and development process of a mobile app that supports patient self-care after breast cancer surgery. We used the ADDIE model to develop and test the mobile app. ADDIE (Analysis, Design, Development, Implementation, Evaluation) is a systematic approach based on a standard instructional design model for creating training materials. The model consists of five phases, each with its own set of steps. Once the steps within each phase are completed, the model progresses to the next phase, ultimately resulting in a "usable" product. Different team collaborations were established within each phase, and support was obtained from multiple experts during the design process. Thanks to this model, the information that patients need was transformed into a technological product. This article, which explains the stages of the product design process for mobile applications, provides information that may be helpful to researchers working on similar products.

Indexed as

ADDIEBreast cancerBreast cancer surgeryBreast care nurseMobile appSelf-care

Identifiers

PMID37160467
PMCPMC10169965

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.