Evidence mapPaperPMID 40890225Full record

ArticleScientific reports2025

A field experiment to improve initial patient engagement for hypertension prevention in South Korea.

Do-Hyeon Ryu, Ryeok-Hwan Kwon

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

2 authors.

Do-Hyeon RyuDepartment of Industrial and Management Engineering, Incheon National University, 119, Academy-ro, Yeonsu-gu, Incheon, 22012, Republic of Korea. dhryu@inu.ac.kr.
Ryeok-Hwan KwonDecision Intelligence Lab, Tech. Innovation Group, Korea Telecom, 151, Taebong-ro, Seocho-gu, Seoul, 06763, Republic of Korea.

Funding

Incheon National University Incheon National University Research Grant in 2023the Korean government (Ministry of Science and ICT)(IITP-2025-RS-2023-00260175) the IITP(Institute of Information & Communications Technology Planning & Evaluation)-ICAN(ICT Challenge and Advanced Network of HRD) grant
6 · The paper itself

Abstract

Effective patient outreach is critical in preventive healthcare, particularly for managing high-risk populations susceptible to chronic conditions such as hypertension. This study evaluates the effectiveness of alternative communication strategies for improving the initial patient contact process at the Gimhae Public Health Center in South Korea. The current telephone-based outreach approach yields a low response rate (2%), underscoring the need for a more efficient engagement framework. Through a field experiment involving 480 high-risk individuals, we compare the effectiveness of two intervention strategies: (1) SMS notifications preceding phone calls and (2) customized health discussions tailored to patients' medical records. Empirical analysis reveals that SMS notifications significantly increase patient response rates, while customized health discussions increase the likelihood of patient follow-up visits. These findings provide evidence-based recommendations for optimizing patient engagement strategies in public health settings, demonstrating the value of targeted communication interventions in chronic disease prevention. The study contributes to the broader discourse on service design in healthcare by presenting a scalable framework for improving patient outreach in public health institutions.

Indexed as

HypertensionPatient ParticipationAdultAgedFemaleHumansMaleMiddle AgedRepublic of KoreaText MessagingHypertension prevention serviceInitial patient contact processProcess improvement strategyPublic health service

Identifiers

PMID40890225
PMCPMC12402102

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.