Evidence map›Paper›PMID 41992316›Full record

ArticleInternational journal for equity in health2026

Trends and inequities in primary and emergency care use among older adults in British Columbia: an analysis across age, sex, income, and rurality (2018-2023).

Anh N Q Pham, Julia Smith

Abstract read
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Article in International journal for equity in health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Anh N Q PhamFaculty of Health Sciences, Simon Fraser University, Burnaby, Canada. nqp@sfu.ca.
Julia SmithFaculty of Health Sciences, Simon Fraser University, Burnaby, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccess to care in Canada has become increasingly unstable, exacerbated by workforce shortages and the COVID-19 pandemic, which disrupted in-person care and accelerated the shift to virtual modalities. This hugely affects older adults (65+) as a high-need population. Our study addresses gaps in the literature and the trends of health care service utilization by providing a population-level analysis of trends and inequities in primary and emergency care use among older adults in British Columbia (BC) from the pre-pandemic period through to recovery (2018-2023).

methodsWe conducted a population-based repeated cross-sectional study using linked administrative health data for all BC residents aged 65 years or older, averaging 1.08 million individuals annually. We examined annual trends and calculated population-based rates for Family Physician (FP) visits, virtual visits, Emergency Department (ED) visits, and acute hospital admissions. To assess inequities, we utilized estimated Incidence Rate Ratios (IRRs), stratifying by age, sex, income, and rurality, and evaluating intersectional interactions among these predictors.

resultsCOVID-19 caused a system-wide shock in 2020; by 2023, in-person outpatient, ED, and hospital utilization remained 7-9% below 2018 levels despite an aging population, suggesting a lower-throughput equilibrium. Conversely, virtual care surged and stabilized at four to five times pre-pandemic levels, indicating a durable shift toward hybrid care. Rural residents exhibited a significantly lower ED use (IRR 0.35) and lower FP visits (IRR 0.97), but higher rates of hospital admissions compared to urban residents; low-income older adults and males relied more on acute care (ED and hospital admission), whereas females had higher rates of FP visits. The oldest-old males (80+) and low-income groups were identified as high-risk clusters for acute care use, facing distinct barriers to longitudinal engagement.

conclusionThe COVID-19 pandemic induced a lasting alteration to the healthcare landscape for older adults in BC. While virtual care has become a permanent fixture, it has not uniformly offset persistent deficits in in-person care. The recovery period has exacerbated structural inequities, revealing an "inverse care" pattern where populations with substantial needs - specifically rural residents, low-income older adults, and older males - face the greatest barriers to preventative care.

Indexed as

COVID-19Emergency Medical ServicesHealthcare DisparitiesPatient Acceptance of Health CarePrimary Health CareAccess to Primary CareAgedAged, 80 and overAge FactorsBritish ColumbiaCross-Sectional StudiesEmergency Room VisitsFemaleHealth Services AccessibilityHumansIncomeAgedEmergency serviceHealth care utilizationHealth equityHospitalPrimary health careRuralTelemedicine

Identifiers

PMID41992316
PMCPMC13214400

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.