MétaCan
Menu
Back to cohort
Record W4400229468 · doi:10.26694/reufpi.v13i1.4698

Experiences of family caregivers in the home care to people with pressure injuries

2024· article· en· W4400229468 on OpenAlexaff
Larissa Santana Gomes, Clávdia Nicolaevna Kochergin, Rebeca Silva dos Santos, Juliana Xavier Pinheiro da Cunha

Bibliographic record

VenueRevista de Enfermagem da UFPI · 2024
Typearticle
Languageen
FieldHealth Professions
TopicPressure Ulcer Prevention and Management
Canadian institutionsLouisiana-Pacific (Canada)
Fundersnot available
KeywordsFamily caregiversQualitative researchNursingPsychologyDescriptive researchService (business)MedicineNarrativeGerontologyFamily medicineSociology

Abstract

fetched live from OpenAlex

Objectives: To analyze the experience of family caregivers in the home care for people with pressure injuries (PI). Methods: Qualitative and descriptive research carried out with family members who received support from the home care service and who were the main informal caregivers of people with PI from stage 3 onwards. A sociodemographic questionnaire and semi-structured interview were applied with the following stimulus for narration: tell me about your experience in the home care to your family member with PI? Data were analyzed according to Bardin's content analysis. Results: Four categories emerged: 1) Performance of family members in PI care; 2) Support of the home care service to the family and patients with PI; 3) Overload of family caregivers; 4) Satisfaction in repaying the care received. Conclusion: This study showed the importance of support to home care service and the difficulties experienced by family members in caring for people with PI, including financial and physical overload; lack of preparation of the caregiver to deal with PI; family conflicts; and the centralization of care responsibility, predominantly performed by women. However, many see in care the opportunity to return the love received, despite all physical and mental fatigue.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.035
GPT teacher head0.387
Teacher spread0.351 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueRevista de Enfermagem da UFPISame topicPressure Ulcer Prevention and ManagementFrench-language works237,207