Evidence map›Paper›PMID 28484707›Full record

ArticleBioMed research international2017

Two-Step Optimization for Spatial Accessibility Improvement: A Case Study of Health Care Planning in Rural China.

Jing Luo, Lingling Tian, Lei Luo, Hong Yi, Fahui Wang

Abstract read
In one paragraph

Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Assessing Spatial Accessibility of Community Hospitals for the Elderly in Beijing, China.International journal of environmental research and public health · 2023
    Article
  3. Spatial Accessibility Analysis of Medical Facilities Based on Public Transportation Networks.International journal of environmental research and public health · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Assessing Spatial Accessibility to Primary Health Care Services in Beijing, China.International journal of environmental research and public health · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
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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.

Jing LuoHubei Provincial Key Laboratory for Geographical Process Analysis and Simulation, College of Urban and Environmental Science, Central China Normal University, Wuhan, Hubei 430079, China.
Lingling TianHubei Provincial Key Laboratory for Geographical Process Analysis and Simulation, College of Urban and Environmental Science, Central China Normal University, Wuhan, Hubei 430079, China.
Lei LuoHubei Provincial Key Laboratory for Geographical Process Analysis and Simulation, College of Urban and Environmental Science, Central China Normal University, Wuhan, Hubei 430079, China.
Hong YiDepartment of Real Estate, East China Normal University, Shanghai 200241, China.
Fahui WangDepartment of Geography & Anthropology, Louisiana State University, Baton Rouge, LA 70808, USA.ORCID 0000-0001-7765-3024

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A recent advancement in location-allocation modeling formulates a two-step approach to a new problem of minimizing disparity of spatial accessibility. Our field work in a health care planning project in a rural county in China indicated that residents valued distance or travel time from the nearest hospital foremost and then considered quality of care including less waiting time as a secondary desirability. Based on the case study, this paper further clarifies the sequential decision-making approach, termed "two-step optimization for spatial accessibility improvement (2SO4SAI)." The first step is to find the best locations to site new facilities by emphasizing accessibility as proximity to the nearest facilities with several alternative objectives under consideration. The second step adjusts the capacities of facilities for minimal inequality in accessibility, where the measure of accessibility accounts for the match ratio of supply and demand and complex spatial interaction between them. The case study illustrates how the two-step optimization method improves both aspects of spatial accessibility for health care access in rural China.

Indexed as

Delivery of Health CareRural HealthRural Health ServicesRural PopulationChinaFemaleHumansMale

Identifiers

PMID28484707
PMCPMC5412212

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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.