Abstract:
OBJECTIVE:A challenging but main task for clinicians is to identify patients' concerns related to their medical conditions. The study aim was to validate a new coding scheme for identifying patients' cues and concerns. METHODS:12 videotaped consultations between nurses and pain patients were coded according to the Verona Coding Scheme for Emotional Sequences (VR-CoDES). During a metainterview each patient watched his/her own video interview with the researcher to confirm or disconfirm the identified cues and concerns. A directive or an open format was applied. Quantitative and qualitative data analyses were performed. RESULTS:Patients' confirmation in relation to the coding gave a sensitivity of 0.95 and specificity of 0.99 in the directive format and a sensitivity of 0.99 and specificity of 0.70 applying the open format. Through a qualitative analysis 83% of researcher-identified cues and concerns were validated. 17% were not confirmed or uncertain. CONCLUSION:The VR-CoDES seems to capture what are experienced as real concerns to patients, and proves to be a coding scheme with a high degree of ecological validity. PRACTICE IMPLICATIONS:The VR-CoDES provides a valid framework for detecting patients' cues and concerns, and should be explored as a training tool to develop clinicians' empathic accuracy.
journal_name
Patient Educ Counsjournal_title
Patient education and counselingauthors
Eide H,Eide T,Rustøen T,Finset Adoi
10.1016/j.pec.2010.04.036subject
Has Abstractpub_date
2011-02-01 00:00:00pages
156-62issue
2eissn
0738-3991issn
1873-5134pii
S0738-3991(10)00284-3journal_volume
82pub_type
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journal_title:Patient education and counseling
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journal_title:Patient education and counseling
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journal_title:Patient education and counseling
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journal_title:Patient education and counseling
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journal_title:Patient education and counseling
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更新日期:1994-08-01 00:00:00
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journal_title:Patient education and counseling
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更新日期:2020-11-06 00:00:00
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journal_title:Patient education and counseling
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更新日期:2016-06-01 00:00:00
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更新日期:2018-01-01 00:00:00