Medical care and treatment of allergic rhinitis: a population-based cohort study based on routine healthcare utilization data

Alzheimer’s disease (AD) is an irreversible neurodegenerative disease that leads to dementia, health impairment, and high economic cost. Allergic rhinitis (AR) is a chronic inflammatory and allergic disease of the respiratory system that leads to health problems and has major effects on the daily lives of patients and their caregivers. Particulate matter (PM) refers to air pollutants 2.5 μm or less in diameter that are a source of concern because of their role in numerous diseases, including AR and other neurodegenerative diseases. To date, no study has demonstrated how PM2.5 exacerbates AR and results in AD. We conducted a national population-based cohort study by obtaining patient data from the National Health Insurance Research Database of Taiwan for the 2008–2013 period. PM2.5 concentration data were obtained from the ambient air quality monitoring network established by the Environmental Protection Administration of Taiwan. Monthly PM2.5 exposure levels were categorized into quartiles from Q1–Q4. The Cox proportional hazards analysis, after adjusting for age, sex, low income, and urbanization level, revealed that patients with AR had an elevated risk of developing AD (hazard ratio (HR): 2.008). In addition, the cumulative incidence of AD in the AR group was significantly higher than in the comparison group. The PM2.5 levels at Q2–Q4 (crude HR: 1.663–8.315; adjusted HR: 1.812–8.981) were stratified on the basis of the PM2.5 exposure group and revealed that AR patients exposed to PM2.5 are significantly prone to develop AD. In addition, the logistic regression analyses, after adjustment, demonstrated that an increase in the PM2.5 exposure level at Q2–Q4 (adjusted odds ratio (OR): 2.656–5.604) increased the risk of AR in AD patients. In conclusion, an increased PM2.5 exposure level could be correlated with AR, which could in turn cause AD. AR increased the risk of AD, in which exposure to PM2.5 increases the higher probability of AD.

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Impact of physician-based palliative care delivery models on health care utilization outcomes: A population-based retrospective cohort study

Palliative Medicine ◽

10.1177/02692163211009440 ◽

2021 ◽

pp. 026921632110094

Author(s):

Catherine R L Brown ◽

Colleen Webber ◽

Hsien-Yeang Seow ◽

Michelle Howard ◽

Amy T Hsu ◽

...

Keyword(s):

Emergency Department ◽

Palliative Care ◽

Cohort Study ◽

Healthcare Utilization ◽

Retrospective Cohort Study ◽

Retrospective Cohort ◽

Home Visit ◽

Population Based ◽

Emergency Department Visits ◽

Care Model

Background: Increasing involvement of palliative care generalists may improve access to palliative care. It is unknown, however, if their involvement with and without palliative care specialists are associated with different outcomes. Aim: To describe physician-based models of palliative care and their association with healthcare utilization outcomes including: emergency department visits, acute hospitalizations and intensive care unit (ICU) admissions in last 30 days of life; and, place of death. Design: Population-based retrospective cohort study using linked health administrative data. We used descriptive statistics to compare outcomes across three models (generalist-only palliative care; consultation palliative care, comprising of both generalist and specialist care; and specialist-only palliative care) and conducted a logistic regression for community death. Setting/participants: All adults aged 18–105 who died in Ontario, Canada between April 1, 2012 and March 31, 2017. Results: Of the 231,047 decedents who received palliative services, 40.3% received generalist, 32.3% consultation and 27.4% specialist palliative care. Across models, we noted minimal to modest variation for decedents with at least one emergency department visit (50%–59%), acute hospitalization (64%–69%) or ICU admission (7%–17%), as well as community death (36%–40%). In our adjusted analysis, receipt of a physician home visit was a stronger predictor for increased likelihood of community death (odds ratio 9.6, 95% confidence interval 9.4–9.8) than palliative care model (generalist vs consultation palliative care 2.0, 1.9–2.0). Conclusion: The generalist palliative care model achieved similar healthcare utilization outcomes as consultation and specialist models. Including a physician home visit component in each model may promote community death.

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