Evidence map›Paper›PMID 30384482›Full record

ArticleInternational journal of environmental research and public health2018

An Improved Healthcare Accessibility Measure Considering the Temporal Dimension and Population Demand of Different Ages.

Lan Ma, Nianxue Luo, Taili Wan, Chunchun Hu, Mingjun Peng

Abstract readComparative Study
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. COVID-19: A Comparative Study of Population Aggregation Patterns in the Central Urban Area of Tianjin, China.International journal of environmental research and public health · 2021
    Article
  19. Article
  20. 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

5 authors.

Lan MaSchool of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China. lanma_sgg@whu.edu.cn.ORCID 0000-0003-1999-727X
Nianxue LuoSchool of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China. nxluo@sgg.whu.edu.cn.
Taili WanSchool of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China. wantaili@whu.edu.cn.
Chunchun HuSchool of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China. chchhu@sgg.whu.edu.cn.
Mingjun PengWuhan Land Resources and Planning Bureau, Wuhan 430014, China. Pmj@wpl.gov.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare accessibility has become an issue of social equity. An accurate estimation of existing healthcare accessibility is vital to plan and allocate health resources. Healthcare capacity, population demand, and geographic impedance are three essential factors to measure spatial accessibility. Additionally, geographic impedance is usually represented with a function of travel time. In this paper, the three-step floating catchment area (3SFCA) method is improved from the perspectives of the temporal dimension and population demand. Specifically, the travel time from the population location to the service site is precisely calculated by introducing real-time traffic conditions instead of utilizing empirical speed in previous studies. Additionally, with the utilization of real-time traffic, a dynamic result of healthcare accessibility is derived during different time periods. In addition, since the medical needs of the elderly are higher than that of the young, a demand weight index of demand is introduced to adjust the population demand. A case study of healthcare accessibility in Wuhan shows that the proposed method is effective to measure healthcare accessibility during different time periods. The spatial accessibility disparities of communities and crowdedness of hospitals are identified as an important reference for the balance between the supply and demand of medical resources.

Indexed as

AdultAgedAged, 80 and overAge FactorsCatchment Area, HealthChinaFemaleHealth Services AccessibilityHumansMaleMiddle AgedModels, StatisticalNeeds AssessmentPopulation SurveillanceTime Factors3SFCAcrowdednessgeographic impedancehealthcare accessibilitypopulation demandreal-time trafficthe elderlyurban planning

Identifiers

PMID30384482
PMCPMC6266999

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.