Evidence map›Paper›PMID 28701226›Full record

ArticleBMC health services research2017

The application of geographic information systems (GIS) in identifying the priority areas for maternal care and services.

Fatemeh Salehi, Leila Ahmadian

Abstract read
In one paragraph

Article in BMC health services research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
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  3. An overview of remote monitoring methods in biodiversity conservation.Environmental science and pollution research international · 2022
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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

2 authors.

Fatemeh SalehiHealth Information Technology, School of Management and Medical Information, Kerman University of Medical Sciences, Kerman, Iran.
Leila AhmadianMedical Informatics, Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Haftbagh Highway, Kerman, 7616911313, Iran. ahmadianle@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImproving maternal health is globally introduced as an important health priority. The purpose of this study is to identify the high priority areas which require more maternal health services in Kerman, Iran.

methodsThis is a descriptive cross-sectional study, performed in 2015. The literatures were first explored in order to extract geographic indicators and sub indicators relevant to the maternal health. Data were collected by the use of a questionnaire designed on the basis of AHP (Analytic Hierarchy Process) method. The validity and reliability of the questionnaire were confirmed by three medical informatics experts and test-retest method, respectively. Data were analyzed by Expert Choice software in order to specify the weight and importance of each indicator. The information were then added to Geographic Information System (GIS) to analyze and create the related maps.

resultsWomen's access to hospitals plays an important role in identifying high priority areas which need maternal care and services. More than half of the mothers in Kerman have a moderate level of access to maternal care services. There is an association between facilities that are provided for pregnant women and the existence of healthcare centers. Moreover, there is a negative correlation between maternal death and the number of facilities provided for medical care and services for pregnant women.

conclusionsThe application of GIS provides us with the capability to identify high priority areas which need maternal care. According to current population policies in Iran and the probable increase in the fertility rate, it is wise to plan proper schedules to improve health care services for pregnant women in Kerman.

Indexed as

Geographic Information SystemsMaternal Health ServicesAdolescentAdultCross-Sectional StudiesFemaleHealth PlanningHealth Services AccessibilityHumansIranMaternal HealthMiddle AgedPregnancyReproducibility of ResultsSurveys and QuestionnairesYoung AdultGeographic information systemIranMaternal health services

Identifiers

PMID28701226
PMCPMC5508661

What OpenQuestion holds

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LicenceCC BY
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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.