Evidence map›Paper›PMID 29963573›Full record

ArticleJournal of education and health promotion2018

Experience of people with physical disability: Mobility needs during earthquakes.

Shahrzad Pakjouei, Aidin Aryankhesal, Mohammad Kamali, Seyed Hesam Seyedin

Abstract read
In one paragraph

Article in Journal of education and health promotion, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

4 authors.

Shahrzad PakjoueiHealth Management and Economics Research Center, Iran University of Medical Sciences, Tehran, Iran.
Aidin AryankhesalDepartment of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Mohammad KamaliRehabilitation Management Department, School of Rehabilitation Sciences, Iran University of Medical Sciences, Tehran, Iran.
Seyed Hesam SeyedinDepartment of Health in Disasters and Emergencies, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople with physical disability are vulnerable in disasters because of their mobility limitations. They are unable to escape from hazards and their needs have been somewhat neglected in planning and relief measures.

aimThis study aimed to identify the mobility needs of people with physical disability during earthquakes across different provinces of Iran. MATERIALS AND

methodsA qualitative study was conducted using 18 semi-structured interviews with participants who had a kind of mobility disability. The participants, across six provinces of Iran who had experienced an earthquake, were selected by purposive sampling in two ways of snowballing and maximum variation in 2017. Data were analyzed thematically assisted by MAXQDA 10 software.

resultsThe mobility needs included house and workplace adaptation, spare assistive devices, easy access to vehicles, special facilities for emergency evacuation, adaptation and accessibility of shelters, adapted bathroom and toilet, and transferring by others.

conclusionBy considering needs and experiences of people with physical disability in disaster planning, appropriate interventions can be arranged to promote the level of response in disasters. Such measures can have a significant role in maintaining the lives and health of such people.

Indexed as

Disastersearthquakesmobility limitationneedspeople with disabilities

Identifiers

PMID29963573
PMCPMC6009151

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.