Evidence map›Paper›PMID 40042986›Full record

ArticleJMIR formative research2025

Purposes of Smartphone Health Care Apps and the Practicality of Their Functions in Disaster Situations: Qualitative Function Assessment Study.

Sayuri Nonaka, Susumu Fujii, Kosuke Chris Yamada

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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.

Sayuri Nonaka *Disaster Medical Informatics Lab, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.ORCID 0009-0001-5919-5039
Susumu Fujii *Disaster Medical Informatics Lab, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.ORCID 0000-0002-1999-0855
Kosuke Chris Yamada *Disaster Medical Informatics Lab, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.ORCID 0000-0002-0297-1893

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Japan has experienced various natural disasters, including the Great East Japan Earthquake in 2011. It becomes crucial to focus on strengthening self-help measures through health care apps that are used in normal times to help people during disasters. However, little is known about what health care apps would be useful in times of disaster. Objective: This study aimed to investigate the prevalent functionalities and purposes of using health care apps during normalcy, explore their potential utility, and propose strategies for disaster response through their utilization. Methods: We focus on highly ranked health care apps (within the top 100 in the health care category for iPhones by Apple, Inc for a certain period) and reclassify their purpose of use, such as sleep, relaxation, and exercise, in detail. We also investigate the functions within each health care app (measurement, recording, advice, content provision, and guidance to actual services), based on which we determine their potential utilization during disasters and anticipate potential solutions to address disaster-related challenges. We also consider the ideal framework of health care apps in disaster response, exploring possibilities such as the necessity of new disaster-specific apps or the adaptation of existing health care apps for disaster scenarios. Results: Among the 70 free apps, the predominant functions included "recording" (n=60 cases, 86%) and "measurement" (n=47 cases, 67%), primarily encompassing the mechanical functions of wearable devices and smartphones. A similar trend was seen in the 77 paid apps, but "content provision" (n=54 cases, 70%) was the most prevalent. Furthermore, the "content provision" function was particularly common in the "purposes of use" categories "sleep" (χ211=29; P<.001), "relaxation" (χ211=14.6; P<.001), and "exercise" (χ211=9.3; P=.002). This suggested the possibility of using the content provision function in existing health care apps to support mental and physical health even during a disaster. Conclusions: The widespread use of apps during normal times could minimize hesitation in adopting them during disasters. The findings emphasize the potential for augmenting disaster-specific content within existing apps rather than developing new ones. This approach aligns with the likelihood of preinstalled app use during emergencies, indicating a pragmatic strategy for enhancing disaster response content within prevalent apps.

Indexed as

DisastersMobile ApplicationsSmartphoneEarthquakesHumansJapanQualitative Researchdisaster medicinedisaster responsedisaster situationshealth careJapanmobile appmobile phoneself-reliancesurvey

Identifiers

PMID40042986
PMCPMC11922814

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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.