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Record W4404809532 · doi:10.1370/afm.22.s1.5967

The impact of the COVID-19 pandemic on healthcare use, mortality, and human rights of persons living with dementia in Canada

2024· article· en· W4404809532 on OpenAlexaboutno aff
Isabelle Vedel, Deniz Cetin‐Sahin, Geneviève Arsenault‐Lapierre, Susan E. Bronskill, Yves Couturier, Christina Diong, Claire Godard‐Sebillotte, Andrea Gruneir, Alexandra Lemay-Compagnat, Laura C. Maclagan, Victoria Massamba, Megan E. O’Connell, Pamela Roach, Louis Rochette, Laura Rojas‐Rozo, Erik Youngson, Machelle Wilchesky

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsnot available
Fundersnot available
KeywordsPandemicMedicineCoronavirus disease 2019 (COVID-19)DementiaHealth care2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)GerontologyVirologyDiseaseEconomic growth

Abstract

fetched live from OpenAlex

Context: Studies investigating the impact of the COVID-19 pandemic on persons living with dementia (PLWD) were conducted in a single jurisdiction or on a limited number of outcomes. Objective: Describe the immediate impacts of the pandemic on PLWD and care partners (CPs) and develop recommendations. Study Design: Multiphase mixed-methods design using participatory approach. Setting: Alberta, Ontario, Saskatchewan, Quebec. Population: PLWD aged 65+, CPs, other stakeholders. Methods: Retrospective cohort study using population-level administrative health data. 2019/pre-pandemic and 2020/pandemic cohorts included 167,095 vs. 173,240 PLWD living in the community and 93,374 vs. 92,434 PLWD residing in nursing homes (NHs), respectively. Qualitative multiple case study involved 66 semi-structured interviews with PLWD and CPs. Deliberative dialogues were held with 20 CPs, clinicians, managers, and decision-makers. Outcomes: Rates of all-cause emergency department visits, hospitalizations, and mortality. Experiences in terms of respect for human rights. Analysis: We compared 2020 to 2019 in 3 periods (1st wave; interim period; 2nd wave) and conducted meta-analyses on the provincial estimates. Qualitative analysis was guided by the World Health Organization Framework ensuring the human-rights-based approach (participation, accountability, non-discrimination and equality, empowerment, and accessibility). Dialogues were analyzed with a multi-level framework (structural, organizational, provider, and patient). Results: In the first wave, community and NH populations experienced significant declines in the rates of emergency department visits (36% vs. 40%) and hospitalizations (25% vs. 22%). Mortality was higher (up to 13%) in the community and in NHs (up to 36%). Human rights of PLWD and CPs were not fully respected during the pandemic. The problems existed before were exacerbated by the burden of the pandemic. The main recommendations included fighting ageism, equitable access to services, interdisciplinary collaboration, regular communication and flexibility during health crises, more training, and support for CPs. Conclusions: It is key to prepare for future health crises, ensuring that PLWD receive necessary care and services, do not have such a high mortality rate, and their rights are fully respected. Attention should be equally given to persons living in their homes and NHs. Findings inform practices and policies to improve the health and social care system.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.100
Threshold uncertainty score0.722

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0060.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.108
GPT teacher head0.438
Teacher spread0.330 · 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
Published2024
Admission routes1
Has abstractyes

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