Evidence map›Paper›PMID 42909290›Full record

ReviewAIMS public health2026

Implementation of a surveillance and monitoring system for chronic disease: A scoping review: Running title: Chronic disease surveillance and monitoring system.

Yejin Kim, Hyung-Seop Sim, Bomgyeol Kim, Vasuki Rajaguru, Tae Hyun Kim

Abstract readReview
In one paragraph

Review in AIMS 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

5 authors.

Yejin KimGraduate School of Cancer Science and Policy, National Cancer Center, Goyang 10408, Republic of Korea.
Hyung-Seop SimDepartment of Public Health, Graduate School, Yonsei University, Seoul 03722, Republic of Korea.
Bomgyeol KimMo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul 03722, Republic of Korea.
Vasuki RajaguruDepartment of Healthcare Management, Graduate School of Public Health, Yonsei University, Seoul 03722, Republic of Korea.
Tae Hyun KimDepartment of Biohealth Industry, Graduate School of Transdisciplinary Health Sciences, Yonsei University, Seoul 03722, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Numerous national-based indicators aid in designing population-centered chronic disease surveillance. However, there is little consensus on the key indicators and goals to develop a chronic disease surveillance analysis system. Objective: This study aimed to develop evidence-based indicators to measure and improve the health outcomes of chronic disease surveillance systems in Korea. Methods: A scoping review was focused on peer-reviewed literature from 2012 to 2022 using PubMed, Medline, Embase, PsychINFO, CINHAL, Wiley Online, Scopus, and Cochrane Library. Three reviewers evaluated and selected the articles in accordance with comprehensive inclusion and exclusion criteria. Data were synthesized using median descriptive analyses, prioritization, and agreement. There was a consensus meeting to discuss the recommendations, and the findings were thematically and descriptively analyzed. Results: Forty-eight articles were finalized and most of them were published in 2019 (18.8%). The studies on chronic disease-based surveillance systems and related data sources were primarily conducted in Canada (58.3%). The findings were prioritized by prevalence rate, risk factors, data linkage, complex disease, and updated indicators in a current system. The key themes of focus were mortality, survival management, diagnosis, treatment, and healthcare systems. Conclusion: Our preliminary measurement methods need validation through follow-up projects. Chronic disease surveillance will improve public health resource allocation and monitoring in real time. Public health and healthcare systems could be enhanced through timely assessments of population health at the local and regional levels. In Korea, experts will validate the chronic disease-based surveillance system's development.

Indexed as

chronic diseasespublic health surveillance systemssurveillance evaluationsurveillance indicatorssurveillance system monitoring

Identifiers

PMID42909290
PMCPMC13684081

What OpenQuestion holds

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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 OpenQuestion graph.