MétaCan
Menu
Back to cohort
Record W1720420601

Adapting Canadian Health Care to an Aging Population

2011· article· en· W1720420601 on OpenAlexvenueaboutno aff
Michelle Andrea Lai, Julia Pon

Bibliographic record

VenueUBC Faculty of Medicine medical journal · 2011
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsnot available
Fundersnot available
KeywordsBiopsychosocial modelPolypharmacyBaby boomersHealth careGerontologyPopulationMedicinePopulation ageingGeriatricsNursingPsychiatryPolitical scienceEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

The baby boomers, born between 1946 and 1964, account for approximately one-third of Canada’s population. The first of the baby boomers will turn 65 this year, 1 and it is estimated that by 2025 there will be more people in Canada over the age of 65 than there will be under the age of 14. 2 Healthcare systems in Canada as well as other Western nations are in the process of adapting to this unprecedented growth of elderly populations. The challenges of meeting the needs of the elderly have become prominent topics of discussion within the healthcare community and beyond. Research and clinical experiences continue to provide our discussions with new insights into the unique set of healthcare needs of the elderly. Aging is characterized by a progressive decline in physiological functioning that ultimately challenges both psychological and social functioning. 3 As such, the needs of the elderly cannot be adequately addressed through medical approaches alone; for high quality care, a holistic biopsychosocial model of health must be considered. Moreover, geriatric medicine is complicated by polypharmacy, by a tendency for patients to have multiple comorbidities, and by presentations and prognoses of illnesses that often differ substantially from younger populations. 2 With increasing recognition of the importance of these issues, Canadian medical schools are beginning to implement curricular components that emphasize the specialized care of the elderly as a discrete population. For example, at UBC, students get exposure as early as first year when they visit nursing homes to interview elderly patients. Furthermore, five of the 17 Canadian medical schools have already instituted mandatory geriatrics rotations. 2 The UBCMJ believes that exposure to geriatric care early in medical training is essential to equipping future physicians with the skill set necessary to manage the demands of our expanding elderly population. In this issue, Dr. Roger Wong, Vice President of the Canadian Geriatrics Society and Head of the Geriatric Consultation Program at the Vancouver Acute Health Service Delivery Area, reflects on geriatric medicine through the lens of a medical student. In his letter to future doctors, Dr. Wong reflects upon his experiences in geriatrics and offers pearls of clinical wisdom to students. “The pre-requisite of good clinical care in the older patient,” writes Dr. Wong, “involves a thorough understanding of the interactions among complex medicine, cognition, physical function, and psychosocial support.” These words speak to the importance that Dr. Wong places on a holistic approach to geriatric care. This issue of the UBCMJ also includes articles by our staff writers that explore new ideas in specific areas of geriatric medicine: potential new treatments for Alzheimer’s disease, means for encouraging seniors to stay active, and current research in agerelated macular degeneration. Moreover, our staff writers report on two opportunities for students to learn more about geriatric care: the UBC Geriatric Dentistry Program and Canada’s Summer Institute in Geriatrics. Furthermore, this issue provides insights into the some of the molecular causes of the aging through the review article “Accelerated Aging in Patients with HutchinsonGilford Progeria Syndrome.”

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.073
GPT teacher head0.365
Teacher spread0.292 · 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 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

Citations1
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueUBC Faculty of Medicine medical journalSame topicFrailty in Older AdultsFrench-language works237,207