Evidence map›Paper›PMID 37723212›Full record

ArticleScientific reports2023

Analysis of spatial-temporal pattern, dynamic evolution and influencing factors of health tourism development in China.

Huadi Wang, Yue Feng, Shaogui Xu, Xiaomei Xu, Kefeng Jiang, Xinyu Nie, Nianxing Zhou

Abstract read
In one paragraph

Article in Scientific reports, 2023. 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

7 authors.

Huadi WangSchool of Education Science, Nanjing Normal University, Nanjing, 210097, China.ORCID https://orcid.org/0000-0002-3012-339X
Yue FengSchool of Education Science, Nanjing Normal University, Nanjing, 210097, China.
Shaogui XuSchool of Management, Jinan University, Guangzhou, 510631, China.
Xiaomei XuSchool of Education Science, Nanjing Normal University, Nanjing, 210097, China.
Kefeng JiangSchool of Education Science, Nanjing Normal University, Nanjing, 210097, China.
Xinyu NieSchool of Education Science, Nanjing Normal University, Nanjing, 210097, China.
Nianxing ZhouSchool of Geography, Nanjing Normal University, Nanjing, 210023, China. zhounianxing@263.net.ORCID https://orcid.org/0000-0002-8067-4472

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evaluation index system is constructed based on the connotation and characteristics of health tourism. Using the entropy method, Thiel index, exploratory spatial data analysis method, spatial Markov chain and spatial econometric model, research is carried out around the development index, difference status, spatial-temporal pattern, dynamic evolution and influencing factors of health tourism. The following results were drawn: (1) The development index of health tourism in China is low, but the development speed is fast. The inter-regional development index shows an eastern China > central China > western China pattern, and the development speed exhibits a western China > central China > eastern China situation. (2) In the overall difference in China's health tourism development, the intra-regional difference is consistently higher than the inter-regional difference. Among the three major regions, the overall difference between eastern China and western China is always higher than that of central China. (3) The development of health tourism in China is positively correlated in the global space, with some local spatial clustering. (4) The dynamic evolution of health tourism development in China shows part of the "Matthew effect" characteristics, with an obvious spatial spillover effect. (5) Various influencing factors produced widely varying direct, indirect and total effects on health tourism development in China, eastern China, central China and western China. Finally, based on the results of the above empirical analysis, policy recommendations to promote the development of health tourism in China are proposed.

Indexed as

Medical TourismChinaEntropyMarkov ChainsMental Processes

Identifiers

PMID37723212
PMCPMC10507092

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.