Evidence map›Paper›PMID 35698156›Full record

ArticleTrials2022

Effect of smartphone app-based health care intervention for health management of high-risk mothers: a study protocol for a randomized controlled trial.

Bora Kim, Jong Youn Moon, Jae Yong Shin, Hae Rin Jeon, So Yeon Oh, Suk Young Kim

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2022. 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
0.9field-weighted citation impact, top 26% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

6 authors at 4 institutions in 2 countries.

Bora KimDepartment of Preventive Medicine, Gachon University College of Medicine, Incheon, Republic of Korea.
Jong Youn MoonDepartment of Preventive Medicine, Gachon University College of Medicine, Incheon, Republic of Korea. moonjy@gachon.ac.kr.
Jae Yong ShinDepartment of Preventive Medicine & Institute of Health Services Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hae Rin JeonDepartment of Obstetrics and Gynecology, Gachon University of Gil Medical Center, Incheon, 21565, Republic of Korea.
So Yeon OhDepartment of Social & Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, MA, USA.
Suk Young KimDepartment of Obstetrics and Gynecology, Gachon University of Gil Medical Center, Incheon, 21565, Republic of Korea. ksyob@gilhospital.com.
Gachon University · KRGachon University Gil Medical Center · KRHarvard University · USYonsei University · KR

Funding

Korea Health Industry Development Institute HS21C0037
6 · The paper itself

Abstract

backgroundThe 4th Industrial Revolution with the advent of the smart era, in which artificial intelligence, such as big data analysis and machine learning, is expected, and the provision of healthcare services using smartphones has become a reality. In particular, high-risk mothers who experience gestational diabetes, gestational hypertension, and prenatal and postpartum depression are highly likely to have adverse effects on the mother and newborn due to the disease. Therefore, continuous observation and intervention in health management are needed to prevent diseases and promote healthy behavior for a healthy life.

methodsThis randomized controlled trial will provide mothers 18 years of age or older with health care information collected based on evidence-based literature data using a smartphone app for 6 weeks. About 500 mothers will be selected in consideration of the dropout rate due to the characteristics of mothers. The study group and control group will be computer-generated in a 1:1 ratio through random assignment. The research group will receive health management items through the app, and health management information suitable for the pregnancy cycle is pushed to an alarm. The control group will receive the health management information of the paper. We also followed the procedure for developing mobile apps using the IDEAS framework. DISCUSSION: These results show the effectiveness of smart medical healthcare services and promote changes in health behaviors throughout pregnancy in high-risk mothers.

trial registrationClinical trial registration information for this study has been registered with WHO ICTRP and CRIS (Korea Clinical Research Information Service, CRIS). Clinical trial registration information is as follows: Study of development of integrated smart health management service for the whole life cycle of high-risk mothers and newborns based on community, KCT0007193 . Registered on April 14, 2022, prospectively registered. This protocol version is Version 1.0. April 14, 2022.

Indexed as

Mobile ApplicationsAdolescentAdultArtificial IntelligenceDelivery of Health CareFemaleHumansInfant, NewbornMothersPregnancyRandomized Controlled Trials as TopicSmartphoneHealthcare servicesHigh-risk mothersRandomized controlled trialsSmart medical technologySmartphones apps

Identifiers

PMID35698156
PMCPMC9190453
OpenAlexW4282564574

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.