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Record W2791530786 · doi:10.1111/jocn.14357

Healthcare providers’ perspectives on perceived barriers and facilitators of compassion: Results from a grounded theory study

2018· article· en· W2791530786 on OpenAlexafffundabout
Pavneet Singh, Shelley Raffin‐Bouchal, Susan McClement, Thomas F. Hack, Kelli Stajduhar, Neil A. Hagen, Aynharan Sinnarajah, Harvey Max Chochinov, Shane Sinclair

Bibliographic record

VenueJournal of Clinical Nursing · 2018
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsAlberta Health ServicesSt. Boniface HospitalUniversity of ManitobaResearch Institute in Oncology and HematologyCancerCare ManitobaUniversity of VictoriaUniversity of Calgary
FundersM.S.I. Foundation
KeywordsGrounded theoryCompassionSnowball samplingFocus groupHealth careQualitative researchNursingPsychologyTheoretical samplingEmpathyMedicineSocial psychologySociology

Abstract

fetched live from OpenAlex

AIMS AND OBJECTIVES: To explore healthcare provider perspectives and experiences of perceived barriers and facilitators of compassion. BACKGROUND: Compassion is considered a component of quality health care that healthcare providers are increasingly expected to provide. While there have been some studies exploring facets of healthcare providers' perspectives on the barriers and facilitators to providing compassion, a comprehensive understanding based on direct reports from healthcare providers is lacking. DESIGN: Data were collected via focus groups and semi-structured interviews. Data was analyzed in accordance with Straussian grounded theory. METHODS: Semistructured focus groups with frontline healthcare providers and individual interviews with peer-nominated exemplary compassionate care providers were audio-recorded, professionally transcribed and analysed. Fifty-seven participants were recruited from three healthcare settings within both rural and urban settings in Alberta, Canada, using convenience, snowball and theoretical sampling. RESULTS: Qualitative analysis of the data generated two categories and associated themes and subthemes delineating perceived barriers and facilitators to compassion. The first category, challenges to compassion, reflects participants' discomfort associating the notion of barriers to compassion and contained several themes participants conceptualised as challenges: personal challenges, relational challenges, systemic challenges and maladaptive responses. The second category, facilitators of compassion, included the themes of personal facilitators, relational facilitators, systemic facilitators and adaptive responses of intentional action. CONCLUSION: Although participants described certain factors such as system and time constraints along with interaction styles of patients and families that can challenge healthcare provider compassion, these challenges were not considered insurmountable. While acknowledging these as challenges, participants identified healthcare providers themselves, including their responses towards the identified challenges of compassion, as significant factors in this process-a novel finding from this study. This study provides insight into healthcare providers' perspectives on the notion of barriers and facilitators in the provision of compassion. RELEVANCE TO CLINICAL PRACTICE: This study provides a blueprint for optimising compassion on a personal, relational and system level.

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.500
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.085
GPT teacher head0.465
Teacher spread0.381 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations67
Published2018
Admission routes3
Has abstractyes

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