Evidence map›Paper›PMID 41981529›Full record

Observational studyBMC public health2026

Determinants of regular self-monitoring of blood pressure in a digital health-based management program among Korean adults living in a remote community : a community-based observational study.

Heejung Lee, Juhwan Oh, Jin-Seok Lee

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2026. 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

3 authors.

Heejung LeeDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul, Republic of Korea.
Juhwan OhDepartment of Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Jin-Seok LeeDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul, Republic of Korea. phealth@snu.ac.kr.

Funding

Ministry of Health and Welfare, Republic of Korea HS22C0061
6 · The paper itself

Abstract

backgroundAlthough recent efforts to integrate digital technologies have accelerated more effective and efficient hypertension management, low adherence and high dropout rates have been reported in real-world digital health programs. This study aimed to identify the factors associated with regular self-monitoring of blood pressure (SMBP) by analyzing real-world app-recorded data from a digital health-based program.

methodsData from 186 participants enrolled in a smart online-to-offline digital healthcare program between January and December 2024 were analyzed. Sociodemographic characteristics, health status, and health behaviors of the participants and their regular SMBP performance over 12 weeks and average daily measurement frequency were analyzed. Logistic regression was used to examine the regular SMBP performance; multiple linear regression was performed on the log-transformed average measurement frequency.

resultsFemales (odds ratio [OR] = 4.41), unmarried participants (OR = 5.06), and those with a monthly income of 1–2 million KRW (USD 679–1,358) (OR = 3.28) had significantly higher odds of irregular SMBP. Past or current smokers also had higher odds of poor adherence. Participants with self-rated health as “fair” showed a significantly lower measurement frequency than those who rated their health as “good” (− 0.37 times). Those residing farther from the service support center had higher odds of irregular monitoring (OR = 5.12) and fewer measurements per day (− 0.34 times) than those living nearby.

conclusionSMBP adherence to digital health programs was lower among socioeconomically and medically vulnerable populations. Physical accessibility remains a significant factor, even in the digital environment. These findings highlighted the need for tailored support strategies to ensure equal participation in digital health interventions.

Indexed as

Blood Pressure Monitoring, AmbulatoryHypertensionAdultAgedDigital HealthFemaleHumansMaleMiddle AgedRepublic of KoreaSocioeconomic FactorsAdherenceCommunity-based interventionDigital healthHealth behaviorsHypertensionSelf-monitoring of blood pressureSocioeconomic factors

Identifiers

PMID41981529
PMCPMC13200493

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.