Nurse responsiveness to cancer patient expressions of emotion

Sheldon, Lisa Kennedy; Ellington, Lee; Barrett, Roseann; Dudley, William N.; Clayton, Margaret F.; Rinaldi, Krista

doi:10.1016/j.pec.2008.11.010

Cited by 32 publications

(46 citation statements)

References 47 publications

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“…Examples of these causal models are the relationships between some RIAS codes and satisfaction, adherence to treatment, level of control and patient knowledge about their pathologies. 3,26,32,34,35 As could be expected, the instrumental codes showed to be most important in the evaluation of technical aspects of the consultation, 7,29,30 and the af-reveal that in addition to characterizing communication RIAS investigators also studied other factors, such as:…”

mentioning

confidence: 74%

Communication between health professionals and patients: review of studies using the RIAS (Roter Interaction Analysis System) method

Pires

Cavaco

2014

Rev. Assoc. Med. Bras.

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(14), pediatricians (5), nurses (4), geneticists (3), carers of patients with AIDS (2), oncologists (2), surgeons (2), anesthetists (1) and family planning specialists (1). The RIAS is scarcely used and publicized within the scope of healthcare in Portuguese speaking countries. Discussion: Main themes studied include the influence of tiredness, anxiety and professional burnout on communication and the impact of specific training actions on professional activities. The review enabled the identification of the main strengths and weaknesses of synchronous and dyadic verbal communication within the provision of healthcare. Conclusion: Scientific investigation of the communication between health professionals and patients using RIAS has produced concrete results. An improvement is expected in health outcomes through the application of the RIAS.

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confidence: 74%

Communication between health professionals and patients: review of studies using the RIAS (Roter Interaction Analysis System) method

Pires

Cavaco

2014

Rev. Assoc. Med. Bras.

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“…Medical students provided room for disclosure of emotional cues expressed in vague and unspecified words, but reduced space to cues emphasizing physiological/cognitive correlates in the OSCE setting, was not replicated in our HNC setting, although a similar multilevel analysis approach and the same coding scheme were adopted. On the other hand, oncologists do appear to respond differently to different types of emotions, as suggested by both correlational [18] and experimental [29] studies that patient expressions of sadness (compared to anger and fear) were more likely to receive empathic responses from oncologists. It is worth noting that the VR-CoDES only captures the manner in which the emotion is expressed (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…Experimental studies, a relatively new development in healthcare communication research, are needed in order to establish causal relationships, for example, manipulating the timing of cue expression and the type of emotional cue provision [29] to study clinician responses.…”

Section: Discussionmentioning

confidence: 99%

How head and neck consultants manage patients’ emotional distress during cancer follow-up consultations: a multilevel study

Zhou

Humphris

Ghazali

et al. 2014

Eur Arch Otorhinolaryngol

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Abstract:Objectives: Head and neck cancer (HNC) patients suffer substantial emotional problems. This study aimed to explore how utterance-level variables (source, type and timing of emotional cues) and patient-level variables (e.g. age, gender and emotional wellbeing) relate to consultants' responses (i.e. reducing or providing space) to patient expressions of emotional distress.Methods: Forty-three HNC outpatient follow-up consultations were audio recorded and coded, for patients' expressions of emotional distress and consultants' responses, using the Verona Coding Definitions of Emotional Sequence (VR-CoDES). Multilevel logistic regression modelled the probability of the occurrence of consultant reduce space response as a function of patient distress cue expression, controlling for consultation and patient-related variables.Results: An average of 3.5 cues/concerns (range 1-20) was identified per consultation where 84 out of 152 total cues/concerns were responded by reducing space. Cue type did not impact on response; likewise for the quality of patient emotional wellbeing. However, consultants were more likely to reduce space to cues elicited by patients, as opposed to those initiated by themselves. This reduce space response was more pronounced as the consultation continued. However, about six minutes into the consultation, this effect (i.e. tendency to block patients) started to weaken.Conclusions: Head and neck consultants' responses to negative emotions depended on source and timing of patient emotional expressions. The findings are useful for training programme development to encourage consultants to be more flexible and open in the early stages of the consultation.

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“…Finally, all findings were drawn in a correlational, rather than a causal, direction. Studies adopting experimental methods are needed to establish causal relationships, for example, employing randomized control design [35] to study effects of multimorbidity on cue expression, or manipulating the type of emotional cue provision [36] to study clinician responses.…”

Section: Limitations and Strengthsmentioning

confidence: 99%

Do multimorbidity and deprivation influence patients’ emotional expressions and doctors’ responses in primary care consultations? – An exploratory study using multilevel analysis

Zhou

Lundy

Humphris

et al. 2015

Patient Education and Counseling

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Objective: To explore whether and how patient multimorbidity and socioeconomic deprivation conditions might influence patients' emotional expression and doctors' responses in the general practice (GP) consultations. Results: GPs were less likely to provide space as the consultation proceeded, controlling for multimorbidity and deprivation variables. Patients with multimorbidity were less likely to express emotional distress in an explicit form. GPs were more likely to provide acknowledgement to emotions expressed by patients from more deprived areas. Methods Conclusion:Multimorbidity and deprivation may influence the dynamics of the GP consultations in specific ways. Rigorous methodologies using larger samples are required to explore further how these two variables relate to each other and influence cue expression, provider response and subsequent patient outcomes.Practice implications: Understanding how multimorbidity and deprivation impact on GP consultations may help inform future service improvement programmes.

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Nurse responsiveness to cancer patient expressions of emotion

Cited by 32 publications

References 47 publications

Communication between health professionals and patients: review of studies using the RIAS (Roter Interaction Analysis System) method

Communication between health professionals and patients: review of studies using the RIAS (Roter Interaction Analysis System) method

How head and neck consultants manage patients’ emotional distress during cancer follow-up consultations: a multilevel study

Do multimorbidity and deprivation influence patients’ emotional expressions and doctors’ responses in primary care consultations? – An exploratory study using multilevel analysis

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