Evidence map›Paper›PMID 40319176›Full record

ArticleNPJ digital medicine2025

A choice based conjoint analysis of mobile healthcare application preferences among physicians, patients, and individuals.

Junbok Lee, Jung Hyun Kim, Mingee Choi, Jaeyong Shin

Abstract read
In one paragraph

Article in NPJ digital medicine, 2025. 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

4 authors.

Junbok LeeInstitute for Innovation in Digital Healthcare, Yonsei University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-7770-4362
Jung Hyun KimDivision of Tourism and Wellness, Hankuk University of Foreign Studies, Yongin, Korea.ORCID http://orcid.org/0000-0003-4248-3760
Mingee ChoiDepartment of Preventive Medicine and Public Health, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jaeyong ShinDepartment of Preventive Medicine and Public Health, Yonsei University College of Medicine, Seoul, Republic of Korea. drshin@yuhs.ac.ORCID http://orcid.org/0000-0002-2955-6382

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid proliferation of healthcare service applications (apps) makes it challenging for consumers to determine the best one for their needs, prompting the Korean government to introduce an accreditation program to verify app safety. This study aims to identify the factors influencing the choice of healthcare service apps among physicians, patients with chronic diseases, and healthy individuals. We conducted a choice-based conjoint analysis with six factors (number of studies on effectiveness, frequency of information delivery, cybersecurity and data safety, user satisfaction, accreditation, and costs). 1,093 participants (407 healthy individuals, 589 patients, and 97 physicians) participated in the online survey. Across all groups, cybersecurity and data safety were the most important preference factors (healthy individuals: β = 2.127, 95% CI 2.096-2.338, patients: β = 1.569, 95% CI 1.481-1.658, physicians: β = 1.111, 95% CI 0.908-1.314). All groups were willing to pay more approximately $12 for high cybersecurity and data safety compared to low.

Identifiers

PMID40319176
PMCPMC12049480

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.