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Record W2122061087 · doi:10.22605/rrh1349

Rural/urban differences in health care utilization and place of death for persons with respiratory illness in the last year of life

2010· article· en· W2122061087 on OpenAlexafffundabout
Donna Goodridge, Joshua Lawson, Donna Rennie, Darcy D. Marciniuk

Bibliographic record

VenueRural and Remote Health · 2010
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsUniversity of Saskatchewan
FundersMinistry of Health, SaskatchewanSaskatchewan Health Research Foundation
KeywordsMedicineCOPDResidenceRural areaMarital statusCause of deathHealth carePopulationDemographyComorbidityGerontologyCohortDiseaseEnvironmental healthPsychiatryInternal medicine

Abstract

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INTRODUCTION: Respiratory illness is a leading cause of death worldwide, with rates that will continue to escalate into the foreseeable future. Rural residents have an increased risk of dying from some forms of respiratory disease, although little is known about the healthcare utilization or location of death for persons with advanced respiratory illness in rural settings. The purpose of this study was to examine rural-urban differences in healthcare utilization and location of death for residents of Saskatchewan, Canada, with chronic obstructive pulmonary disease (COPD) or lung cancer in the last 12 months of life. METHODS: A retrospective cohort study was undertaken of 1098 patients who died in 2004 with a cause of death recorded as COPD or lung cancer in administrative health data from Saskatchewan Health. Decedents were classified as residents of rural/remote (< or =9,999 population size), small urban (10 000-99 999) or urban (> or =100 000) locations and analysis conducted using this primary variable of interest. Comparisons were made between the three groups in terms of demographic characteristics, healthcare utilization (physician visits, length of stay, hospitalizations, institutional care, home care, transitions between care settings) and location of death (hospital, long-term care [LTC] or home). RESULTS: The study population was 57% male with a mean age of 77 years (SD=11). Demographic characteristics, underlying cause of death and number of comorbid conditions were similar between urban, small urban and rural/remote groups. After adjustment for area of residence, underlying cause of death (UCOD), age group, sex, marital status, and comorbidity, urban, small urban and rural/remote residents were comparable in terms of the likelihood of: any hospitalizations, having had 5 or more transfers between settings, and dying in hospital. The proportion of home deaths in rural settings was 15.4%, and was comparable to the rate in urban settings (16.3%). Urban residents were more likely to have had 24 or more physician visits in the last year of life compared with small urban (OR=0.52, 95% CI=.37-.74) or rural/remote residents (OR=0.52, 95% CI=.40-.69), while rural/remote residents were more likely to have received any institutional LTC (OR=1.40, 95% CI=1.03-1.90) than the other groups. Hospital as a location of death was more likely for those with a UCOD of cardiovascular disease (OR=1.84, 95% CI=1.24-2.71), but was less likely for those aged 80-85 years (OR=0.46, 95% CI=.31-.69), those aged more than 85 years (OR=0.28, 95% CI=.19-.42) and those who had never married (OR=0.48, 95% CI=.29-.78). Residents of rural/remote areas were significantly less likely than those in urban or small urban settings to receive any home care (OR=0.74, 95% CI=.56-.97), any home palliative care (OR=0.29, 95% CI=.19-.45) or home physiotherapy services (OR=0.09, 95% CI=.03-.25). Rural/remote residents were, however, much more likely to receive home supportive care (OR=1.60, 95% CI=1.17-2.19) and home meal preparation (OR=2.51, 95% CI=1.44-4.39). CONCLUSIONS: While the healthcare needs of persons with respiratory illness in the last year of life were likely to be similar between locations, rural-urban differences were apparent in the number of primary care physician visits and in access to and the nature of home care services provided. Significantly fewer physician visits were made by residents of small urban or rural remote locations compared with those in urban settings, although additional research is needed to determine the reasons for this discrepancy. The likelihood of receiving home care services and professional home care services such as palliative care and physiotherapy was significantly lower for persons in rural/remote locations. The challenges experienced by rural remote regions with supporting patients in the community may have led to the increased likelihood of admission to institutional LTC noted for this group compared with residents of urban and small urban settings. The low home death rates is both urban and rural settings may pose particular hardship for rural families who may need to travel extensively or temporarily relocate to be closer to the hospital where their loved one is dying. Further investigation of issues related to differences in quality of care and unmet health care needs between rural and non-rural settings will strengthen the evidence base to allow equitable care at the end of life.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.124
Threshold uncertainty score0.247

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.063
GPT teacher head0.341
Teacher spread0.277 · 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".

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Citations94
Published2010
Admission routes3
Has abstractyes

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