Evidence map›Paper›PMID 22487879›Full record

ArticleClinical orthopaedics and related research2012

Critically assessing the Haiti earthquake response and the barriers to quality orthopaedic care.

Daniel B Sonshine, Amber Caldwell, Richard A Gosselin, Christopher T Born, R Richard Coughlin

Abstract read
In one paragraph

Article in Clinical orthopaedics and related research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Daniel B SonshineWeill Cornell Medical College, New York, NY, USA. sonshined@orthosurg.ucsf.edu
Amber Caldwell
Richard A Gosselin
Christopher T Born
R Richard Coughlin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough numerous authors have described surgical experiences following major disasters, little is known regarding the needs of and barriers to care faced by surgeons during such disasters. QUESTIONS/PURPOSES: We therefore (1) identified and compared recurrent interview themes essential to the disaster response following the 2010 Haiti earthquake; (2) determined the difference in reported disaster equipment management task difficulty between disaster-trained and untrained volunteers; and (3) approximated the quantity of various procedures performed.

methodsWe conducted 14 interviews with selected orthopaedic surgeon volunteers. We also invited the 504 members of the American Academy of Orthopaedic Surgeons (AAOS), who registered as Haiti earthquake volunteers, to complete an online survey; 174 (35%) completed the survey and 131 (26%) were present in Haiti during the 30 days after the earthquake. Recurrent interview themes were identified, quantified, and compared using Poisson regression analysis. The difference in disaster equipment management difficulty scores was determined with a Wilcoxon rank-sum test.

resultsOf 10 recurrent interview themes, group organization (31 occurrences) was mentioned much more often than all but two of the remaining nine themes. Compared with disaster-untrained respondents, equipment management tended to be less challenging for disaster-trained respondents. Transporting to the treatment site and security during storage at the site were less challenging (19.5% and 16.5% decreases, respectively). Revision surgeries, guillotine amputations, fasciotomies, and internal fixations, suggestive of inappropriate disaster care, were frequently reported.

conclusionsOrganizational and training barriers obstructed orthopaedic care delivery immediately after the Haiti earthquake. Disaster training and outcomes require further study to improve care in future catastrophes.

Indexed as

EarthquakesQuality Assurance, Health CareAdultFemaleHaitiHumansMaleMiddle AgedOrthopedic ProceduresRescue WorkTime Factors

Identifiers

PMID22487879
PMCPMC3442014

What OpenQuestion holds

Textmetadata
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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.