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The use of supportive communication when responding to older people’s emotional distress in home care – An observational study

Overview of attention for article published in BMC Nursing, May 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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1 news outlet
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14 Dimensions

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80 Mendeley
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Title
The use of supportive communication when responding to older people’s emotional distress in home care – An observational study
Published in
BMC Nursing, May 2017
DOI 10.1186/s12912-017-0220-8
Pubmed ID
Authors

Linda Hafskjold, Vibeke Sundling, Sandra van Dulmen, Hilde Eide

Abstract

Responding to older people's distress by acknowledging or encouraging further discussion of emotions is central to supportive, person-centred communication, and may enhance home care outcomes and thereby promote healthy aging. This observational study describes nursing staff's responses to older people's emotional distress, and identify factors that encourage further emotional disclosure. Audio-recorded home care visits in Norway (n = 196), including 48 older people and 33 nursing staff, were analysed with the Verona Coding Definitions of Emotional Sequences, identifying expressions of emotional distress and subsequent provider responses. The inter-rater reliability (two coders), Cohen's kappa, was >0.6. Sum categories of emotional distress were constructed: a) verbal and non-verbal expressions referring to emotion, b) references to unpleasant states/circumstances, and c) contextual hints of emotion. A binary variable was constructed based on the VR response codes, differentiating between emotion-focused responses and responses that distanced emotion. Fisher's exact test was used to analyse group differences and determined variables included in a multivariate logistic regression analysis to identify factors promoting emotion-focused responses. Older people's expressions of emotional distress (n = 635) comprised 63 explicit concerns and 572 cues. Forty-eight per cent of nursing staff responses (n = 638) were emotion-focused. Emotion-focused responses were observed more frequently when nursing staff elicited the expression of emotional distress from the patients (54%) than when patients expressed their emotional distress on their own initiative (39%). Expressions with reference to emotion most often received emotion-focused responses (60%), whereas references to unpleasant states or circumstances and contextual hints of emotion most often received non-emotion-focused responses (59%). In a multivariate logistic model, nursing staff's elicitation of the emotional expression (vs patients initiating it) and patients' expression with a reference to an emotion (vs reference to unpleasant states or contextual hints) were both explanatory variables for emotion-focused responses. Emotion-focused responses were promoted when nursing staff elicited the emotional expression, and when the patient expression referred to an emotion. Staff responded most often by acknowledging the distress and using moderately person-centred supportive communication. More research is needed to establish generalizability of the findings and whether older people deem such responses supportive.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 18%
Student > Bachelor 13 16%
Student > Ph. D. Student 8 10%
Librarian 6 8%
Student > Doctoral Student 4 5%
Other 12 15%
Unknown 23 29%
Readers by discipline Count As %
Nursing and Health Professions 21 26%
Social Sciences 14 18%
Medicine and Dentistry 7 9%
Biochemistry, Genetics and Molecular Biology 3 4%
Psychology 3 4%
Other 9 11%
Unknown 23 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 January 2018.
All research outputs
#2,729,372
of 24,875,286 outputs
Outputs from BMC Nursing
#72
of 907 outputs
Outputs of similar age
#49,027
of 315,935 outputs
Outputs of similar age from BMC Nursing
#4
of 17 outputs
Altmetric has tracked 24,875,286 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 907 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,935 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.