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Record W1274913993

Seeking support: caregiver strategies for interacting with health personnel.

2003· article· en· W1274913993 on OpenAlexaff
Myrna Heinrich, Anne Neufeld, Margaret J. Harrison

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsCapital District Health Authority
Fundersnot available
KeywordsPsychologyGeneral partnershipEmpowermentFocus groupNursingPerceptionHealth careDementiaMedicineDisease
DOInot available

Abstract

fetched live from OpenAlex

Support from health professionals can assist family caregivers and have a positive impact on their health. The purpose of this study was to explore women's perceptions of support from community resources while caring for a family member with dementia. The research questions were: What factors influence female caregivers' interactions with health personnel when seeking support? What strategies do women employ in interactions with health personnel to secure support? Symbolic interaction was the theoretical foundation for the study, which included secondary analysis of 62 interviews with 20 women concerning their caregiving experience. In addition, new data were collected from 2 focus groups with 8 volunteers recruited from among the original 20 participants. The data indicated that the women's expectations of their caregiving role and their appraisal of the care recipient influenced their interactions with health personnel when seeking support. They employed 4 broad strategies: collaborating, getting along, twigging, and fighting/struggling. A woman's use of strategies varied according to the degree of mutuality in decision-making with staff and was accompanied by both positive and negative experiences. These findings confirm the importance of mutuality in relationships with health personnel and support the use of partnership and empowerment models of professional practice.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.083
GPT teacher head0.402
Teacher spread0.319 · 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

Citations23
Published2003
Admission routes1
Has abstractyes

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