Evidence map›Paper›PMID 34346894›Full record

ArticleJMIR medical informatics2021

A Worker-Centered Personal Health Record App for Workplace Health Promotion Using National Health Care Data Sets: Design and Development Study.

Hyun Sang Park, Kwang Il Kim, Ho-Young Chung, Sungmoon Jeong, Jae Young Soh, Young Ho Hyun, Hwa Sun Kim

Abstract read
In one paragraph

Article in JMIR medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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

7 authors.

Hyun Sang Park *Digital Healthcare Department, BIT Computer Co. Ltd., Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-0949-1120
Kwang Il KimFinance Programs Department, Korea Occupational Safety and Health Agency, Ulsan, Republic of Korea.ORCID https://orcid.org/0000-0002-4746-3008
Ho-Young ChungDepartment of Medical Informatics, Kyungpook National University, Daegu, Republic of Korea.ORCID https://orcid.org/0000-0001-7264-0865
Sungmoon JeongDepartment of Medical Informatics, Kyungpook National University, Daegu, Republic of Korea.ORCID https://orcid.org/0000-0002-4579-3150
Jae Young SohDigital Healthcare Department, BIT Computer Co. Ltd., Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-7454-8288
Young Ho HyunDigital Healthcare Department, BIT Computer Co. Ltd., Seoul, Republic of Korea.ORCID https://orcid.org/0000-0002-0520-9474
Hwa Sun Kim *Elecmarvels Co. Ltd., Daegu, Republic of Korea.ORCID https://orcid.org/0000-0003-3657-4551

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersonal health record (PHR) technology can be used to support workplace health promotion, and prevent social and economic losses related to workers' health management. PHR services can not only ensure interoperability, security, privacy, and data quality, but also consider the user's perspective in their design.

objectiveUsing Fast Healthcare Interoperability Resources (FHIR) and national health care data sets, this study aimed to design and develop an app for providing worker-centered, interconnected PHR services.

methodsThis study considered the user's perspective, using the human-centered design (HCD) methodology, to develop a PHR app suitable for occupational health. We developed a prototype after analyzing quantitative and qualitative data collected from workers and a health care professional group, after which we performed a usability evaluation. We structured workers' PHR items based on the analyzed data, and ensured structural and semantic interoperability using FHIR, Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT), and Logical Observation Identifiers Names and Codes (LOINC). This study integrated workers' health information scattered across different Korean institutions through an interface method, and workers' PHRs were managed through a cloud server, using Azure API for FHIR.

resultsIn total, 562 workers from industrial parks participated in the quantitative study. The preferred data items for PHR were medication, number of steps walked, diet, blood pressure, weight, and blood glucose. The preferred features were ability to access medical checkup results, health information content provision, consultation record inquiry, and teleconsultation. The worker-centered PHR app collected data on, among others, life logs, vital signs, and medical checkup results; offered health care services such as reservation and teleconsultation; and provided occupational safety and health information through material safety data sheet search and health questionnaires. The app reflected improvements in user convenience and app usability proposed by 19 participants (7 health care professionals and 12 end users) in the usability evaluation. The After-Scenario Questionnaire (ASQ) was evaluated with a mean score of 5.90 (SD 0.34) out of 7, and the System Usability Scale (SUS) was evaluated a mean score of 88.7 (SD 4.83) out of 100.

conclusionsThe worker-centered PHR app integrates workers' health information from different institutions and provides a variety of health care services from linked institutions through workers' shared PHR. This app is expected to increase workers' autonomy over their health information and support medical personnel's decision making regarding workers' health in the workplace. Particularly, the app will provide solutions for current major PHR challenges, and its design, which considers the user's perspective, satisfies the prerequisites for its utilization in occupational health.

Indexed as

Fast Healthcare Interoperability Resourceshuman-centered designnational health care data setpersonal health record appworkplace health promotion

Identifiers

PMID34346894
PMCPMC8374662

What OpenQuestion holds

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LicenceCC BY
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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.