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Record W3195258811

Socialization, COVID-19 and hydration in residential care;potential for dehydration?

2021· article· en· W3195258811 on OpenAlexvenueaboutno aff
Saba Syed, Chaojun Wei, H. Keller, Pedro Gaspar, George Heckman, Christina Lengyel, Laura Carbajo Martín, Janet C. Mentes, Ashwini Namasivayam‐MacDonald, Sara Slaughter, Me-Ok Yoon

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2021
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsSocializationSocial distanceSocial isolationPsychologyCoronavirus disease 2019 (COVID-19)MedicinePandemicNursingSocial psychologyPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Older adults living in residential care are at increased risk for dehydration due to factors at the resident, staff, and home level. Prior research indicates that social drinking opportunities may influence fluid intake. The COVID-19 pandemic has highlighted the relevance of social interactions to hydration. Restrictions intended to limit the spread of the virus have led to increased resident isolation, which may have increased the risk for dehydration. To date, there is limited examination for the potential effects of decreased socialization of residents on their hydration. Objective: To identify the potential impact of restrictions on socialization arising from COVID-19 on hydration. Methods: Experts (researchers n = 18, providers n = 9) participated in a knowledge exchange meeting to provide their insights into the potential impact of COVID-19 restrictions in residential care on social interactions and hydration. Zoom technology with audio recording was used;meeting notes and audio recordings were transcribed for qualitative content analysis. The majority were from Canada (78%), and although multiple disciplines were represented, the two most common groups were dietitians (44.4%) and nursing (18.5%). Results: Participants shared that restrictions related to COVID-19 infection control procedures have reduced resident access to social programs and activities, volunteer/family visiting, and affected staff roles and activities, which resulted in fewer care touch points with residents during the day. Specifically, pandemic procedures caused compressed staff schedules--a barrier to resident-centred care practices-- leading to less frequent beverage offerings, reminders, and inquiries regarding drink preferences. Physical distancing in the home environment has decreased opportunities for communal dining and social events, which would normally encourage fluid intake in non-outbreak situations. Rules around physical distancing decreased family visitations, further reducing opportunities for social drinking or the consumption of special drinks brought in by family. Conclusions: COVID-19 restrictions have brought changes to the frequency of care touch points and opportunities for residents to socially engage, resulting in decreased opportunities for drink offers from staff and social drinking. Significance: Incorporating opportunities for socialization and social interactions in hydration interventions can promote fluid intake in LTC residents. Funded by: University of Waterloo International Research Development Program, with matching funds from Adelphi University (A. Namasivayam-MacDonald), and University of California at Los Angeles (J. Mentes).

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)0.003
metaresearch head score (Gemma)0.009
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0030.005
Scholarly communication0.0020.002
Open science0.0010.005
Research integrity0.0010.002
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 head0.139
GPT teacher head0.523
Teacher spread0.384 · 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".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

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