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Record W2321320699 · doi:10.14288/1.0098952

Nurses’ descriptions of the experience of caring for culturally diverse clients

2009· article· en· W2321320699 on OpenAlexaboutno aff
Sheryl Marie Reimer

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsnot available
Fundersnot available
KeywordsCulturally appropriateNursingPsychologyEmpathyMedicineSocial psychologyFamily medicine

Abstract

fetched live from OpenAlex

Over the last few decades, Canada has become a culturally diverse society. It is now commonplace for nurses to care for clients from cultures different from their own. Caring for culturally diverse clients present unique challenges to nurses. These clients often do not speak English and come to the hospital setting with varying health beliefs and customs. Furthermore, the challenge of caring for culturally diverse clients may uncover feelings in nurses about various ethnic groups. While there is an encouraging trend to include cultural content in nursing curricula, the effectiveness of nursing programs in preparing nurses to care for culturally diverse clients is not known . Additionally, there is evidence to suggest that culturally diverse clients may receive a lower standard of nursing care that might be explained by factors such as the nurse's knowledge, previous contact with ethnic minorities, attitudes, education, support, and the hospital setting. Few studies about nurses' experiences of caring for culturally diverse clients have been found. The purpose of this study was to explore the descriptions of recently graduated nurses of their experiences of caring for culturally diverse clients and to thereby gain an understanding of both the nature of the experience and any factors influencing the experience. A descriptive-exploratory design in the qualitative (naturalistic) tradition was selected to address the Level 1 question. The design took some direction from the phenomenological objective about understanding lived experience, but broadened that perspective to focus upon the shared elements within the specific experience of caring for culturally diverse clients. Eight recently graduated nurses were each interviewed twice. Data analysis proceeded simultaneously with the interviews through a process of constant comparative analysis. The conceptual structure that emerged from the thematic analysis was validated with the participants during the second interviews. The findings of the study revealed the experience of caring for culturally diverse clients as one of considerable complexity and persistent challenge. On the basis of the participants' varied descriptions, the nurses were conceptualized on a continuum of commitment to cross-cultural nursing, ranging from being resistant to being competent to being impassioned. While the nurses demonstrated a propensity to practice from a particular position on the continuum, their level of commitment at any given point might be influenced by personal or contextual factors that moved them toward either end of the continuum. Notably, the impassioned nurses all described an experience of awakening to the complex imperative of cross-cultural nursing that came out of specific situations in which they were sensitized to the minority experience. In order to provide culturally sensitive care, the participants implemented creative and flexible efforts in connecting with the client, working with the family, accommodating for cultural practices, and balancing expectations. The nature of the experience for the nurse and the quality of care provided to culturally diverse clients was also influenced by certain contextual factors, or catalysts, beyond the control of the nurse. The catalysts identified were the setting of health care, the support of colleagues, the commitment of the institution, and the foundation of education. Most significantly, the study uncovered the presence of racism in health care settings. The most obvious examples of racism came in the descriptions by the participants of the resistant nurses who were not represented in the sample. Other examples included inequities at the institutional level. In light of these findings, implications for education, administration, practice, research, and public policy were identified.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.676
Threshold uncertainty score0.789

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.264
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 teacher head, not a consensus.

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

Citations1
Published2009
Admission routes1
Has abstractyes

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