Evidence map›Paper›PMID 37649036›Full record

ArticleBMC health services research2023

Agent-Based Modeling and Simulation (ABMS)on the influence of adjusting medical service fees on patients' choice of medical treatment.

Danhui Li, Jia Yang, Jin Li, Ning Zhao, Wensheng Ju, Moning Guo

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 12% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 3 institutions in 1 country.

Danhui Li *Office of Medical Affairs, Shaanxi Provincial People's Hospital, No. 256 Youyi West Road, Beilin District, Xi'an, 710068, Shaanxi, China.
Jia Yang *School of Public Health, Capital Medical University, No. 10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China. yangjiakm@163.com.ORCID http://orcid.org/0000-0003-1332-1818
Jin LiSchool of Public Health, Capital Medical University, No. 10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China.
Ning ZhaoSchool of Public Health, Capital Medical University, No. 10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China.
Wensheng JuBeijing Municipal Health Big Data and Policy Research Center, No.277 Zhaodengyu Road, Beijing, 100034, China.
Moning GuoBeijing Municipal Health Big Data and Policy Research Center, No.277 Zhaodengyu Road, Beijing, 100034, China.
Capital Medical University · CNBeijing Institute of Big Data Research · CNShanxi Medical University · CN

Funding

National Natural Science Foundation of China 71603175National Natural Science Foundation of China 72274129
6 · The paper itself

Abstract

backgroundWe explored the impact of medical service fee adjustments on the choice of medical treatment for hypertensive patients in Beijing. We hope to provide decision-making reference to promote the realization of hierarchical diagnosis and treatment in Beijing.

methodsAccording to the framework of modeling simulation research and based on the data of residents and medical institutions in Beijing, we designed three models of residents model, disease model and hospital model respectively. We then constructed a state map of patients' selection of medical treatment and adjusted the medical service fee to observe outpatient selection behaviors of hypertensive patients at different levels of hospitals and to find the optimal decision-making plan.

resultsThe simulation results show that the adjustment of medical service fees can affect the proportion of patients seeking medical treatment in primary and tertiary hospitals to a certain extent, but has little effect on the proportion of patients receiving medical treatment in secondary hospitals.

conclusionsBeijing can make adjustments of the current medical service fees by reducing fees in primary hospitals and slightly increasing fees in tertiary hospitals, and in this way could increase the number of patients with hypertension in the primary hospitals.

Indexed as

Fee-for-Service PlansFees, MedicalBeijingComputer SimulationHumansHypertensionSystems AnalysisBehavior of seeking medical servicesDifferentiated medical service pricesSimulation experimentSimulation model

Identifiers

PMID37649036
PMCPMC10468860
OpenAlexW4386275995

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.