Evidence map›Paper›PMID 42735426›Full record

ArticleJMIR human factors2026

Cocreating a Digital Patient Preparedness Tool for International Students Accessing Primary Care in Germany: A Convergent Methods Study Within the Health CASCADE Network.

Vinayak Anand Kumar, Margrit Schreier, Maria Giné-Garriga, Maria Ortmann, Fatima-Zohra Belmokhtar, Simona Grineviciute, Tran Ngoc-Huong Quan, Likhita Aluru, Sonia Lippke

Abstract read
In one paragraph

Article in JMIR human factors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Vinayak Anand KumarSchool of Business, Social and Decision Science, Constructor University, Campus Ring 1, Bremen, 28759, Germany, 49 421 200 4730.ORCID http://orcid.org/0000-0002-2972-5887
Margrit SchreierSchool of Business, Social and Decision Science, Constructor University, Campus Ring 1, Bremen, 28759, Germany, 49 421 200 4730.ORCID http://orcid.org/0009-0000-4507-7923
Maria Giné-GarrigaSchool of Health Sciences Blanquerna, Universitat Ramon Llull, Barcelona, Catalonia, Spain.ORCID http://orcid.org/0000-0003-4449-3524
Maria OrtmannSchool of Business, Social and Decision Science, Constructor University, Campus Ring 1, Bremen, 28759, Germany, 49 421 200 4730.ORCID http://orcid.org/0009-0008-9528-0901
Fatima-Zohra BelmokhtarFaculty 11 Human and Health Sciences, University of Bremen, Bremen, Germany.ORCID http://orcid.org/0009-0008-1637-1742
Simona GrineviciuteSchool of Business, Social and Decision Science, Constructor University, Campus Ring 1, Bremen, 28759, Germany, 49 421 200 4730.ORCID http://orcid.org/0009-0001-6283-8517
Tran Ngoc-Huong QuanSchool of Business, Social and Decision Science, Constructor University, Campus Ring 1, Bremen, 28759, Germany, 49 421 200 4730.ORCID http://orcid.org/0009-0004-2239-0748
Likhita AluruDepartment of Neurobiology, Northwestern University, Evanston, IL, United States.ORCID http://orcid.org/0009-0003-2763-2040
Sonia LippkeSchool of Business, Social and Decision Science, Constructor University, Campus Ring 1, Bremen, 28759, Germany, 49 421 200 4730.ORCID http://orcid.org/0000-0002-8272-0399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital health interventions (DHIs) are a potential tool to address communication challenges in primary care medicine by improving patient participation, treatment adherence, and self-management of chronic diseases. However, Germany's digital health infrastructure remains underdeveloped compared to other Organization for Economic Cooperation and Development (OECD) countries. Designing tailored, context-sensitive tools requires a deep understanding of patient needs, particularly for underserved populations navigating complex health care systems. Participatory approaches that actively involve end-users and stakeholders can help ensure that digital health tools are responsive to these needs. Behavioral science frameworks such as the Behavior Change Wheel (BCW), which incorporates the Capability, Opportunity, Motivation-Behavior (COM-B) model, can further support this process. Such technologies, developed using cocreation and behavior change frameworks, may improve health outcomes for underserved patient populations by addressing context-specific needs. This study explores how cocreation and behavioral science can inform the adaptation of a digital patient preparedness tool for international students accessing primary care in Germany. Objective: This study aimed to gain insight into international students' experiences with primary care in Germany and explore whether adapting an existing digital patient preparedness intervention could address communication challenges and improve the standard of care. Using cocreation methods and the Behavior Change Wheel (BCW), we identified key design specifications and behavior change levers to inform tool development. Methods: A mixed methods design was used to identify design specifications for a DHI across 4 cocreation workshops with 12 students at an international university in Germany. Quantitative data were used for descriptive insights, and qualitative data were analyzed using qualitative content analysis. Workshops were informed by the BCW and the Health CASCADE cocreation methods selector tool. Results: Cocreators reported feeling misunderstood, anxious, and ill-informed during primary care interactions, with system-level barriers compounding communication difficulties. Despite this, many engaged in preparatory behaviors (eg, note-taking) to manage uncertainty and structure their consultations. Feedback on an existing digital intervention was mixed: while cocreators appreciated its intent, structured lesson formats were seen as too time-consuming. Cocreators preferred a concise, interactive design. Communication prompts, appointment scheduling, and personalized feedback were frequently requested features, though tool adoption was seen as contingent on addressing broader system-level frustrations. Conclusions: International students' negative health care experiences, often stemming from unclear communication, perceived indifference, and difficulty navigating an unfamiliar medical system, may be mitigated through codesigned, personalized digital interventions. Frequently requested features, such as appointment scheduling, clinic directories, test result access, and interactive tools like chatbots, may help address barriers related to system navigation, communication, and access. This study demonstrates how cocreation methods can be integrated with the BCW to inform the development of context-sensitive digital health tools for specific target groups.

Indexed as

Primary Health CareAccess to Primary CareAdultDigital HealthFemaleGermanyHumansMalebehavior changebehavior change wheelCapability, Opportunity, Motivation – Behavior ModelcocreationCOM-B modelcommunication barriersdigital healthGermanyinternational studentspatient preparednessprimary care

Identifiers

PMID42735426
PMCPMC13574332

What Socratic holds

Textmetadata
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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 Socratic graph.