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Record W3130428157 · doi:10.1177/2333393621993452

The Complexity of Living with Diabetes and Urinary Incontinence for Older Adults with Multiple Chronic Conditions Receiving Home Care Services: An Interpretive Description Study

2021· article· en· W3130428157 on OpenAlexafffundabout
Melissa Northwood, Jenny Ploeg, Maureen Markle‐Reid, Diana Sherifali

Bibliographic record

VenueGlobal Qualitative Nursing Research · 2021
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsHamilton Health SciencesMcMaster University
FundersRegistered Nurses’ Foundation of Ontario
KeywordsUrinary incontinenceMedicineChronic careDiabetes mellitusGerontologyPopulationExperiential learningNursingFamily medicineChronic diseasePsychologyUrologyEndocrinology

Abstract

fetched live from OpenAlex

Over 40% of older adults with diabetes receiving home-care services experience urinary incontinence. However, experiential knowledge is lacking on how these older adults live with diabetes and incontinence. Interpretive description methodology was used to explore the experiences of 18 older adults with diabetes and urinary incontinence receiving home-care services in Ontario, Canada. Five themes emerged from the findings: (a) enduring urinary incontinence: "patch it in pads"; (b) struggling to manage diabetes, incontinence, and multiple chronic conditions: "a balancing act"; (c) covering the costs of care: "I can't afford it"; (d) counting on a caregiver: "he does everything"; and (e) home-care services not meeting my needs: "it's not individual." These findings suggest that living with urinary incontinence and diabetes is a complex and challenging experience. This evidence could inform the provision of comprehensive home care to support self-care for this population.

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)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
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 head0.094
GPT teacher head0.488
Teacher spread0.394 · 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

Citations4
Published2021
Admission routes3
Has abstractyes

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