Evidence map›Paper›PMID 39474133›Full record

ArticleF1000Research2023

Investigate the efficiency of primary care facilities in emergency situations by application of geographical and demographic standards using GIS.

Ali E M Jarghon, Nyoman Anita Damayanti, Inge Dhamanti, Anas M M Awad

Abstract read
In one paragraph

Article in F1000Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Ali E M JarghonFaculty of Public Health, Airlangga University, Surabaya, East Java, 60114, Indonesia.ORCID 0009-0006-2040-3474
Nyoman Anita DamayantiFaculty of Public Health, Airlangga University, Surabaya, East Java, 60114, Indonesia.
Inge DhamantiFaculty of Public Health, Airlangga University, Surabaya, East Java, 60114, Indonesia.ORCID 0000-0003-2347-8771
Anas M M AwadFaculty of Geodesy and Geomatics Engineering, Bandung Institute of Technology, Bandung, West Java, 40132, Indonesia.ORCID 0000-0002-1553-1707

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study applied geographical standards (coverage distance) and demographic standards to investigate the capabilities of primary healthcare facilities to cover the largest area of the study area and the service area that can be accessed. This study aimed to determine the number of primary healthcare (PHC) centres required to ensure adequate healthcare coverage for the entire community. Methods: Data was obtained by applying geographic information system (GIS) techniques, including proximity analysis, spatial overlay, and network analysis, to analyze primary care facilities using the demographic and geographic standards for primary care facilities. The study was conducted in Sleman District, Yogyakarta, Indonesia, using ArcGIS 10.5 and QGIS software for spatial analysis. Results: PHC centers cover 79% of the study area according to the geographical standard. The study area needs 41 additional centers to cover the shortfall in service provision per the demographic and geographic standards. Conclusions: A significant deficiency in the number of primary care centers found in the study area compared to the large population at the geographical and demographic standards level.

Indexed as

DemographyEmergenciesGeographic Information SystemsPrimary Health CareHealth FacilitiesHumansIndonesiaCoveragedemographic standardemergenciesgeographical standardGISPrimary health care

Identifiers

PMID39474133
PMCPMC11519617

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.