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Record W2830905608 · doi:10.1186/s12913-018-3341-1

“It’s better to have three brains working instead of one”: a qualitative study of building therapeutic alliance with family members of critically ill patients

2018· article· en· W2830905608 on OpenAlexaffabout
Csilla Kalocsai, André Carlos Kajdacsy-Balla Amaral, Dominique Piquette, Grace Walter, Shelly P. Dev, Paul Taylor, James Downar, Lesley Gotlib Conn

Bibliographic record

VenueBMC Health Services Research · 2018
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsHealth Sciences CentreUniversity of TorontoInstitute for Clinical Evaluative SciencesCentre for Addiction and Mental HealthSunnybrook Health Science Centre
Fundersnot available
KeywordsAllianceMedicineEmpowermentNursingJargonQualitative researchNursing researchPsychological interventionFamily medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Studies in the intensive care unit (ICU) suggest that better communication between families of critically ill patients and healthcare providers is needed; however, most randomized trials targeting interventions to improve communication have failed to achieve family-centered outcomes. We aim to offer a novel analysis of the complexities involved in building positive family-provider relationships in the ICU through the consideration of not only communication but other important aspects of family-provider interactions, including family integration, collaboration, and empowerment. Our goal is to explore family members' perspectives on the enablers and challenges to establishing therapeutic alliance with ICU physicians and nurses. METHODS: We used the concept of therapeutic alliance as an organizational and analytic tool to conduct an interview-based qualitative study in a 20-bed adult medical-surgical ICU in an academic hospital in Toronto, Canada. Nineteen family members of critically ill patients who acted as substitute decision-makers and/or regularly interacted with ICU providers were interviewed. Participants were sampled purposefully to ensure maximum variation along predetermined criteria. A hybrid inductive-deductive approach to analysis was used. RESULTS: Participating family members highlighted the complementary roles and practices of ICU nurses and physicians in building therapeutic alliance. They reported how both provider groups had profession specific and shared contributions to foster family communication, integration, and collaboration, while physicians played a key role in family empowerment. Families' lack of familiarity with ICU personnel and processes, physicians' sporadic availability and use of medical jargon during rounds, however, reinforced long established power differences between lay families and expert physicians and challenged family integration. Family members also identified informal interactions as missed opportunities for relationship-building with physicians. While informal interactions with nurses at the bedside facilitated therapeutic alliance, inconsistent and ad-hoc interactions related to routine decision-making hindered family empowerment. CONCLUSIONS: Multiple opportunities exist to improve family-provider relationships in the ICU. The four dimensions of therapeutic alliance prove analytically useful to highlight those aspects that work well and need improvement, such as in the areas of family integration and empowerment.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.036
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0220.021
Scholarly communication0.0050.006
Open science0.0030.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.299
GPT teacher head0.536
Teacher spread0.237 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations35
Published2018
Admission routes2
Has abstractyes

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