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Record W4220949068 · doi:10.1044/2022_persp-21-00314

Integrating Family-Centered Care Into Chronic Dysphagia Management: A Tutorial

2022· article· en· W4220949068 on OpenAlexaff
Samantha Shune, Deanna Linville, Ashwini Namasivayam‐MacDonald

Bibliographic record

VenuePerspectives of the ASHA Special Interest Groups · 2022
Typearticle
Languageen
FieldHealth Professions
TopicDysphagia Assessment and Management
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBiopsychosocial modelDysphagiaIntervention (counseling)MedicinePsychological resiliencePsychologyNursingPsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

Purpose: Chronic illnesses and sources of disability, such as dysphagia, are experienced by the entire family system. A narrow focus on impairment-level treatment cannot account for the often-dramatic shift in biopsychosocial functioning that is experienced by both the individual with dysphagia and their family members. To maximize treatment effectiveness, it is therefore necessary to focus more holistically on family resilience and adaptation. Drawing from the principles of family systems theory and the biopsychosocial–spiritual framework, this tutorial explores the application of family-centered care models to chronic dysphagia management. Using a case study to illustrate dysphagia's impact on family caregivers, we suggest a number of opportunities for speech-language pathologists to appropriately engage in family-centered care. Conclusions: Clinicians need to recognize that chronic dysphagia's widespread consequences necessitate the integration of the family into intervention plans. This requires a better understanding of family dynamics, particularly as they relate to the medical condition. As part of the management process, clinicians should consider explicitly inquiring about specific sources of support the family may require and make referrals to other professionals as needed. They should also consider implementing strategies to support the family into intervention in a way that minimizes burden and respects their capabilities. It is only through a more family-centered care approach that clinicians will be able to reduce the impacts of third-party disability and improve the lives of patients and their families.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.663
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0020.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.032
GPT teacher head0.361
Teacher spread0.329 · 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

Citations8
Published2022
Admission routes1
Has abstractyes

Explore more

Same venuePerspectives of the ASHA Special Interest GroupsSame topicDysphagia Assessment and ManagementFrench-language works237,207