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Mitigate the Negative Effects of Secondary Traumatic Stress and Compassion Fatigue by Cultivating a Caring Pedagogy and Resilience

2024· book-chapter· en· W4396615024 on OpenAlex
Kathleen Stephany

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBENTHAM SCIENCE PUBLISHERS eBooks · 2024
Typebook-chapter
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsDouglas College
Fundersnot available
KeywordsCompassion fatigueResilience (materials science)PsychologyCompassionPsychological resilienceSocial psychologyClinical psychologyBurnoutPolitical scienceMaterials science

Abstract

fetched live from OpenAlex

Students and practicing nurses are at risk of developing empathy-based stress conditions related to caring for people who have been traumatized. Caring is a known factor in all suggested interventions for empathy-based stress conditions. Therefore, Chapter Five explores ways to mitigate the negative effects of secondary traumatic stress and compassion fatigue through employing a caring pedagogy and resilience. Caring pedagogy in nursing education is important because it incorporates caring components into the delivery of the core curriculum, creates a community of learning that prioritizes students, is inclusive, and engaging, and protects the emotional integrity of student nurses. Noddings’ elements of moral education such as modeling, dialogue, practice, and confirmation are identified as essential to a caring learning environment. For example, student nurses can learn what it means to care by observing the behavior of their instructor, by a dynamic exchange of ideas, by prioritizing caring, and by encouraging the best in others. A learning environment that is caring must also be based on civility and is the shared responsibility of both faculty and students. Selfcare is identified as a known strategy to reduce the emotional stress experienced by nurses and student nurses. Watson’s Caritas processes are subsequently recommended as the basis for self-care and consist of demonstrating sensitivity toward oneself and everyone else, through spiritual practices that support loving, caring relationships. Resilience consists of the ability to quickly return to normal functioning after experiencing adversity. Resilience skills can be learned through the development of protective factors and mechanisms and may prevent empathy-based stress conditions related to trauma, can assist a trauma survivor to bounce back more quickly, and teach people how to deal with the stress of everyday life. The following ways to cultivate resilience in nurses are presented, building positive nurturing relationships and networks; maintaining positivity; developing emotional insight; achieving life balance and spirituality; and becoming more reflective. Three strategies to foster resilience in nursing education include resilience training in the school curriculum; prioritizing role modelling; and enabling generativity. Two Narrative Case Studies are presented. The first one tells the story of how a Psychiatric Nurse developed the signs of secondary traumatic stress after one of her clients ended their life through suicide. The second one describes how a student nurse was unaware that she was experiencing emotional strain. The following four learning activities are proposed, sharing examples of being cared for; exploring ways to enhance learning; nurturing caring experiences in educational settings; and implementing Watson’s caring processes and strategies to enhance selfcare. The Chapter ends by recommending a self-care challenge that promotes emotional appraisal to manage negative emotions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.696
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.346
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it