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Record W4396630063 · doi:10.2196/54074

Demographic Profile, Health, and Associated Factors of Family Caregivers and Functionality of Hospitalized Older Adults: Cross-Sectional, Exploratory, and Descriptive Study

2024· article· en· W4396630063 on OpenAlexvenueno aff
Mateus Cunha Gomes, Robert Castro, Willian Silva Serra, J Vasconcelos, Andressa Tavares Parente, Eliã Pinheiro Botelho, Glenda Roberta Oliveira Naiff Ferreira, Fabianne de Jesus Dias de Sousa

Bibliographic record

VenueJMIR Formative Research · 2024
Typearticle
Languageen
FieldHealth Professions
TopicNursing care and research
Canadian institutionsnot available
FundersPró-Reitoria de Pesquisa e Pós-Graduação, Universidade Federal do ParáUniversidade Federal do Pará
KeywordsCross-sectional studyDescriptive researchMedicineGerontologyPsychologyFamily medicineSociology

Abstract

fetched live from OpenAlex

BACKGROUND: The longevity of the world population can contribute to an increase in hospitalizations and, consequently, to the emergence of functional limitations, resulting in the need for family caregivers. Hospitalized older adults may become dependent and require more care, increasing the burden on family caregivers. Thus, the nursing team in the hospital environment faces a new situation: an increase in the number of older adults occupying hospital beds and the presence of their family caregivers. OBJECTIVE: We aimed to analyze the association between the demographic variables of interest and the self-rated health of family caregivers and to describe the functionality of older adults hospitalized in a university hospital in the Amazonian context. METHODS: This cross-sectional, quantitative, exploratory, and descriptive study was carried out through individual interviews with 98 interviewees, divided into 49 family caregivers and 49 older adults hospitalized in the surgical clinic sector of a university hospital in Brazil between February and March 2023. Demographic data and health conditions were collected from family caregivers, and to describe the functionality of hospitalized older adults, the Barthel Index was applied. Descriptive (frequency and percentage) and inferential analyses were used, and the student t test was applied. The significance level of 5% was adopted. RESULTS: Among the 49 family caregivers, the majority were women (n=40, 81.6%) with an average age of 46.9 (SD 13.3) years. Most were single (n=28, 57.1%) and had completed an average level of education (n=26, 53.1%). Additionally, 25 (51%) caregivers were caring for their parents. Regarding health conditions, respondents self-assessed their health as good (25/49, 51%; P=.01), and they considered that their health status was not affected by the provision of care (36/49, 73.5%; P=.01). There was a significant association between demographic variables (ie, gender, age, and education) and self-assessment of family caregivers (P=.01, P=.01, and P=.04, respectively). Of the 49 older adults hospitalized, the majority (n=31, 63.2%) were men, with a mean age of 69.2 (SD 7.12) years. Regarding the assessment of functionality, most older adults were classified as having mild dependence on care (n=23, 46.9%), specifically in the age group between 60 and 69 years (21/49, 67.8%). CONCLUSIONS: The data revealed that female gender, age, and education of family caregivers contributed favorably to the provision of care to hospitalized older adults with a lower degree of functional dependence. It is important to emphasize that during the older adult's hospitalization, the family caregiver should not be seen as a delegation of responsibilities or as a complement of human resources to assist in their recovery. Health professionals need to implement assertive interventions so that the family caregiver functions as a therapeutic resource.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.141
GPT teacher head0.496
Teacher spread0.355 · 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 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".

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Citations1
Published2024
Admission routes1
Has abstractyes

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