Evidence map›Paper›PMID 39365682›Full record

ArticleJMIR public health and surveillance2024

A Nationwide Physical Activity Intervention for 654,500 Adults in Singapore: Cost-Utility Analysis.

Gregory Ang, Chuen Seng Tan, Yot Teerawattananon, Falk Müller-Riemenschneider, Cynthia Chen

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Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Gregory AngDepartment of Statistics and Data Science, National University of Singapore, Singapore, Singapore.ORCID 0000-0001-7809-8237
Chuen Seng TanSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0002-6513-2309
Yot TeerawattananonSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0003-2217-2930
Falk Müller-RiemenschneiderSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0003-1402-7477
Cynthia ChenSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0002-1947-8069

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Increasing physical inactivity is a primary risk factor for diabetes and hypertension, contributing to rising health care expenditure and productivity losses. As Singapore's aging population grows, there is an increased disease burden on Singapore's health systems. Large-scale physical activity interventions could potentially reduce the disease burden but face challenges with the uncertainty of long-term health impact and high implementation costs, hindering their adoption. Objective: We examined the cost-effectiveness of the Singapore National Steps Challenge (NSC), an annual nationwide mobile health (mHealth) intervention to increase physical activity, from both the health care provider perspective, which only considers the direct costs, and the societal perspective, which considers both the direct and indirect costs. Methods: We used a Markov model to assess the long-term impact of increased physical activity from the NSC on adults aged 17 years and older. A Monte Carlo simulation with 1000 samples was conducted to compare two situations: the NSC conducted yearly for 10 years against a no-intervention situation with no NSC. The model projected inpatient and outpatient costs and mortality arising from diabetes and hypertension, as well as their complications. Health outcomes were expressed in terms of the quality-adjusted life-years (QALYs) gained. All future costs and QALYs were discounted at 3% per annum. Sensitivity analyses were done to test the robustness of our model results. Results: We estimated that conducting the NSC yearly for 10 years with a mean cohort size of 654,500 participants was projected to prevent 6200 diabetes cases (95% credible interval 3700 to 9100), 10,500 hypertension cases (95% credible interval 6550 to 15,200), and 4930 deaths (95% credible interval 3260 to 6930). This led to a reduction in health care costs of SGD (Singapore dollar) 448 million (95% credible interval SGD 132 million to SGD 1.09 billion; SGD 1=US $0.73 for the year 2019). There would be 78,800 (95% credible interval 55,700 to 102,000) QALYs gained. Using a willingness-to-pay threshold of SGD 10,000 per QALY gained, the NSC would be cost-saving. When indirect costs were included, the NSC was estimated to reduce societal costs by SGD 1.41 billion (95% credible interval SGD 353 million to SGD 3.80 billion). The model was most sensitive to changes in the inpatient cost of treatment for diabetes complications, time horizon, and program compliance. Conclusions: In this modeling study, increasing physical activity by conducting a yearly nationwide physical activity intervention was cost-saving, preventing diabetes and hypertension and reducing mortality from these diseases. Our results provide important information for decision-making in countries that may consider introducing similar large-scale physical activity programs.

Indexed as

Cost-Benefit AnalysisExerciseAdolescentAdultAgedDiabetes MellitusFemaleHumansHypertensionMaleMarkov ChainsMiddle AgedQuality-Adjusted Life YearsSingaporeYoung Adultcostcost-effectivenessdiabeteshypertensionMarkov modelmHealthmobile healthmodeling studymortalitynationwide programphysical activitypreventionproductivity

Identifiers

PMID39365682
PMCPMC11468974

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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.