Evidence map›Paper›PMID 36523586›Full record

ArticleFrontiers in public health2022

How to promote grass roots medical treatment under China's graded diagnosis and treatment policy? - From the perspective of customer value theory.

Wanqiong Tao, Xiangrui Chen, Shuyu Gan

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

3 authors.

Wanqiong TaoCollaborative Innovation Center of Statistical Data Engineering Technology and Application, Zhejiang Gongshang University, Hangzhou, China.
Xiangrui ChenSchool of Accounting, Zhejiang Gongshang University, Hangzhou, China.
Shuyu GanSchool of Accounting, Zhejiang Gongshang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Based on the background of the implementation of graded diagnosis and treatment policy (GDT) in China, this paper studied the service optimization of primary medical institutions from the perspective of the primary medical treatment rate. Methods: First, the difference-in-difference (DID) empirical strategy is used to analyze the impact of the implementation of the GDT on the improvement of the primary medical attendance rate, and the parallel trend test and the placebo test were used to test the robustness to illustrate the necessity of policy implementation. Second, combined with customer value theory, this paper used a logistic regression model to study the impact of customer value perception on grassroots medical care. Results: The implementation of the GDT can indeed improve the rate of primary care ( Conclusion: This paper fills the gaps in existing research, including empirical research on the grassroots medical treatment behavior of the masses under GDT and the impact of value perception on grassroots medical behavior. Furthermore, the recommendations are made for primary care institutions based on the results of the analysis, which promote the advancement of primary care services in China.

Indexed as

PolicyChinacustomer value theorydifference-in-difference modelgraded diagnosis and treatment policygrass-roots medical treatment rateprimary medical institutions

Identifiers

PMID36523586
PMCPMC9745134

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.