Evidence map›Paper›PMID 21563908›Full record

ArticleClinical toxicology (Philadelphia, Pa.)2011

Communication patterns for the most serious poison center calls.

Lee Ellington, Mollie Rebecca Poynton, Maija Reblin, Seth Latimer, Heather K W Bennett, Barbara Crouch, E Martin Caravati

Abstract read
In one paragraph

Article in Clinical toxicology (Philadelphia, Pa.), 2011. 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

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Lee EllingtonCollege of Nursing, University of Utah, Salt Lake City, UT 84112-5880, USA. lee.ellington@nurs.utah.edu
Mollie Rebecca Poynton
Maija Reblin
Seth Latimer
Heather K W Bennett
Barbara Crouch
E Martin Caravati

Funding

Predictive Modeling of Call Outcomes to Poison Control Center RecommendationsR01NR010119 · NINR · UNIVERSITY OF UTAH · PI ELLINGTON, LEE A · 2007 to 2009
$1.1M
NINR NIH HHS R01 NR010119
6 · The paper itself

Abstract

CONTEXT. The communication demands faced by specialists in poison information (SPI) are unique in the health-care context. OBJECTIVES. (1) To describe SPI communication patterns for the highest risk poison exposure calls using cluster analysis, and (2) to describe variation in communication patterns or clusters. METHODS. A sample of 1 year of poison exposure calls to a regional poison control center with SPIs' perceived severity rating of major or moderate perceived was collected. Digital voice recordings were linked with medical records and were coded using the Roter Interaction Analysis System. Descriptive analyses were applied, and cluster-analytic techniques were used to assess variation in call communication and factors associated with that variation. RESULTS. Cases were described, and four communication styles were identified. The informational cluster represents calls with relatively high levels of SPI clinical information and caller questions. The Facilitative cluster represents calls with a pattern of relatively high SPI questions and caller information provision. The Planning cluster represents calls with relatively high levels of SPI relationship talk. The Emotional cluster represents calls with relatively high caller and SPI emotion. Further analyses revealed relationships between call characteristics, SPI identity, and cluster membership. CONCLUSION. This study provides a beginning step to understanding SPI communication behaviors. Our results suggest that SPIs are able to use a range of communication strategies that often involve not only information but also emotional responsiveness and rapport building. Findings also point to the opportunity for future communication training for SPIs to meet the needs of the heterogeneous caller population.

Indexed as

CommunicationInformation ServicesPoison Control CentersAdolescentAdultAgedChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMiddle AgedRetrospective Studies

Identifiers

PMID21563908
PMCPMC3167491

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Registered trials

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