Evidence map›Paper›PMID 36007433›Full record

Observational studyInternational journal of medical informatics2022

Use of video-based telehealth services using a mobile app for workers in underserved areas during the COVID-19 pandemic: A prospective observational study.

Hyun Sang Park, Sungmoon Jeong, Ho-Young Chung, Jae Young Soh, Young Ho Hyun, Seong Hwan Bang, Hwa Sun Kim

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in International journal of medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% of its field
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 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
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 at 3 institutions in 1 country.

Hyun Sang ParkDigital Healthcare Department, BIT Computer Co. Ltd., Seoul, Republic of Korea; Department of Medical Informatics, Kyungpook National University, Daegu, Republic of Korea.
Sungmoon JeongDepartment of Medical Informatics, Kyungpook National University, Daegu, Republic of Korea.
Ho-Young ChungDepartment of Medical Informatics, Kyungpook National University, Daegu, Republic of Korea; Department of Surgery, Kyungpook National University Hospital, Daegu, Republic of Korea. Electronic address: hychung@knu.ac.kr.
Jae Young SohDigital Healthcare Department, BIT Computer Co. Ltd., Seoul, Republic of Korea.
Young Ho HyunDigital Healthcare Department, BIT Computer Co. Ltd., Seoul, Republic of Korea.
Seong Hwan BangDigital Healthcare Department, BIT Computer Co. Ltd., Seoul, Republic of Korea.
Hwa Sun KimElecmarvels Co. Ltd., Daegu, Republic of Korea.
NC bit (South Korea) · KRKyungpook National University · KRKyungpook National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has limited face-to-face treatment, triggering a change in the structure of existing healthcare services. Unlike other groups, workers in underserved areas have relatively poor access to healthcare.

objectiveThis study aimed to investigate the effects of video-based telehealth services using a mobile personal health record (PHR) app for vulnerable workers with metabolic risk factors.

methodsA prospective observational study was conducted with 117 participants and 27 healthcare professionals for 16 weeks. Participants visited the research institution three times (at weeks 1, 8, and 16) and underwent health check-ups and used various features of the mobile PHR app. Healthcare professionals observed the participants's data using the monitoring system and performed appropriate interventions. The primary outcome measures were to evaluate the effects of services on changes in the participants' metabolic risk factors, and secondary outcome measures were to analyze changes in the participants' lifestyle and service satisfaction, and to observe service use through usage logs. One-way repeated measures ANOVA and Scheffé's test were performed to observe changes in participants' health status and lifestyle, and a paired t-test was performed to analyze changes in service satisfaction. Finally, in-depth interviews with healthcare professionals were performed using semi-structured questionnaires to understand service providers' perspectives after the end of the study.

resultsSystolic blood pressure (F = 7.32, P <.001), diastolic blood pressure (F = 11.30, P <.001), body weight (F = 29.53, P <.001), BMI (F = 17.31, P <.001), waist circumference (F = 17.33, P <.001), fasting blood glucose (F = 5.11, P =.007), and triglycerides (F = 4.66, P =.01) showed significant improvements with time points, whereas high-density lipoprotein cholesterol (F = 3.35, P =.067) did not. The dietary score (F = 3.26, P =.04) showed a significant improvement with time points, whereas physical activity (F = 1.06, P =.34) did not. In terms of service satisfaction, only lifestyle improvement (P <.001) showed a significant difference. COVID-19 has affected the performance of healthcare professionals, thereby changing the perspectives toward healthcare technology services.

conclusionsWe evaluated the effectiveness of video-based telehealth services supporting workers' health status and lifestyle interventions using healthcare technologies such as the mobile PHR app, tele-monitoring, and video teleconsultation. Our results indicate that as a complementary means, its utility can be expanded in the field of occupational safety and health to overcome the limitations of face-to-face treatment due to COVID-19 in the future.

Indexed as

COVID-19Mobile ApplicationsRemote ConsultationBlood GlucoseCholesterolHumansLipoproteins, HDLMedically Underserved AreaPandemicsTriglyceridesBlood GlucoseCholesterolLipoproteins, HDLTriglyceridesCOVID-19Metabolic risk factorsMobile personal health record appProspective observational studyVideo-based telehealth service

Identifiers

PMID36007433
PMCPMC9381936
OpenAlexW4292086499

What OpenQuestion holds

Textmetadata
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.