Evidence map›Paper›PMID 41264143›Full record

ArticleJournal of medical systems2025

Cost-Effectiveness of a Mobile Health Program for Pre-elderly Adults.

Eunmi Bae, Arum Moon, Seungju Baek, Jung-Ha Kim, Sunmee Jang

Abstract read
In one paragraph

Article in Journal of medical systems, 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

5 authors.

Eunmi BaeCollege of Pharmacy, Korea University, Sejong, Republic of Korea.
Arum MoonCollege of Pharmacy and Gachon Institute of Pharmaceutical Sciences, Gachon University, Incheon, Republic of Korea, 191 Hambakmoero, Yeonsugu, 21936.
Seungju BaekDepartment of Nursing, Graduate School of Chung-Ang University, Seoul, Republic of Korea.
Jung-Ha KimDepartment of Family Medicine, College of Medicine, Chung-Ang University, 102 Heukseok-ro Dongjak-gu, Seoul, 06973, Republic of Korea. girlpower219@cau.ac.kr.
Sunmee JangCollege of Pharmacy and Gachon Institute of Pharmaceutical Sciences, Gachon University, Incheon, Republic of Korea, 191 Hambakmoero, Yeonsugu, 21936. smjang@gachon.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In South Korea, over half the adults are insufficiently active. Mobile health (mHealth) interventions can increase physical activity. This study evaluated the cost-effectiveness of a smartwatch and smartphone application to promote moderate-intensity physical activity among South Korean adults aged 45–64 years. A Markov cohort model with seven health states was developed to compare intervention and non-intervention scenarios. Transition probabilities, utility values, and costs in the model were calculated using data from the National Health Insurance Service and the Korea National Health and Nutrition Examination Survey. The intervention effect was measured through changes in moderate-intensity physical activity (≥ 150 min/week) over a 12-week prospective study (n = 304). The analyses used 10-year and lifetime horizons with comprehensive sensitivity. The intervention yielded an incremental gain of 0.0077 quality-adjusted life years (QALYs) at an additional cost of 6.3 USD/person, resulting in an incremental cost-effectiveness ratio (ICER) of 829 USD/QALY gained over 10 years. Benefits were greater in the 55–64 age group (455 USD/QALY) than in the 45–54 age group (1,595 USD/QALY). Probabilistic sensitivity analysis confirmed robust cost-effectiveness at a willingness-to-pay threshold of USD 20,000/QALY. The program using smartwatches and smartphones was cost-effective for middle-aged South Korean adults, particularly those aged 55–64 years. These findings support integrating mHealth solutions into national physical activity promotion strategies as an economically feasible approach to addressing physical inactivity and preventing chronic diseases in aging populations.

Indexed as

ExerciseHealth PromotionMobile ApplicationsTelemedicineCost-Benefit AnalysisCost-Effectiveness AnalysisDigital HealthFemaleHumansMaleMarkov ChainsMiddle AgedProspective StudiesQuality-Adjusted Life YearsRepublic of KoreaSmartphoneChronic disease preventionCost-effectivenessHealth economicsMarkov modelMobile healthPhysical activity

Identifiers

PMID41264143
PMCPMC12634741

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.