Dataset Information

Childbirth-Related Hospital Burden by Socioeconomic Status in a Universal Health Care Setting.

ABSTRACT: Introduction:Hospital utilization varies across socioeconomic and demographic strata in Canada, a country with a universal health care system. Rates of adverse birth outcomes are known to differ among women of high and low socioeconomic status (SES), but less is known of the excess hospital burden related to SES over the course of childbirth across Canadian provinces. Objective:To examine length of stay and risk of hospitalization surrounding delivery, relative to women's socio-demographic characteristics. Methods:A population-based record linkage between the Canadian Community Health Survey (CCHS) years 2005-2011 and the Discharge Abstract Database (DAD) allowed the tracking of hospital utilization for linked survey respondents between 2005 and 2011. Hourly length of stay for delivery, risk of readmission, and risk of admission prior to delivery was modeled by socio-demographic factors, controlling for other clinical and individual-level characteristics. Results:There were 21,914 complete delivery records from 15,458 female CCHS respondents who agreed to link and share their information. Average length of stay (for both vaginal and Caesarian deliveries) dropped over the study period from 67.86 hours in 2005 to 59.37 hours in 2011. In multivariate analyses, women with the lowest income had on average, two-hour longer stays for vaginal delivery as compared to high-income women (IRR 1.04, 95% CI 1.00-1.08) and higher risk of admission prior to delivery (OR 1.43, CI 1.13-1.81). Low-income women, Aboriginal women and women living in rural areas were also at elevated risk for longer hospital stays and for hospital admission prior to delivery. There was no consistent socioeconomic patterning of hospital burden for Caesarian deliveries. Conclusion:The length of hospital stays for childbirth has declined in Canada. Length of stay remains modestly longer, and risk of hospitalization in the perinatal period higher, for low income women, Aboriginal women and rural women. The absence of egregious income-related differences in hospital burden related to childbirth is reassuring for the equity goals of the Canadian health care system. The persistence of marginally longer, and in turn, costlier visits for low-income and Aboriginal women before and during delivery is, however, suggestive that resources targeted to the prenatal period might be highly cost-effective if they achieve population-wide reductions in length of stay and hospitalization in the perinatal period.

SUBMITTER: Mah SM

PROVIDER: S-EPMC7299465 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Childbirth-Related Hospital Burden by Socioeconomic Status in a Universal Health Care Setting.

Mah Sarah Meghan SM Sanmartin Claudia C Harper Sam S Ross Nancy A NA

International journal of population data science 20180705 1

<h4>Introduction</h4>Hospital utilization varies across socioeconomic and demographic strata in Canada, a country with a universal health care system. Rates of adverse birth outcomes are known to differ among women of high and low socioeconomic status (SES), but less is known of the excess hospital burden related to SES over the course of childbirth across Canadian provinces.<h4>Objective</h4>To examine length of stay and risk of hospitalization surrounding delivery, relative to women's socio-de ...[more]

PMID: 32935000

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Project description:BACKGROUND This study aimed to assess whether there are disparities in incidence rates, care, and outcomes for patients with chest pain attended by emergency medical services according to socioeconomic status (SES) in a universal health coverage setting. METHODS AND RESULTS This was a population-based cohort study of individually linked ambulance, emergency, hospital admission, and mortality data in the state of Victoria, Australia, from January 2015 to June 2019 that included 183 232 consecutive emergency medical services attendances for adults with nontraumatic chest pain (mean age 62 [SD 18] years; 51% women) and excluded out-of-hospital cardiac arrest and ST-segment-elevation myocardial infarction. Age-standardized incidence of chest pain was higher for patients residing in lower SES areas (lowest SES quintile 1595 versus highest SES quintile 760 per 100 000 person-years; P<0.001). Patients of lower SES were less likely to attend metropolitan, private, or revascularization-capable hospitals and had greater comorbidities. In multivariable models adjusted for clinical characteristics and final diagnosis, lower SES quintiles were associated with increased risks of 30-day and long-term mortality, readmission for chest pain and acute coronary syndrome, lower acuity emergency department triage categorization, emergency department length of stay >4 hours, and emergency department or emergency medical services discharge without hospital admission and were inversely associated with use of prehospital ECGs and transfer to a revascularization-capable hospital for patients presenting to non-percutaneous coronary intervention centers. CONCLUSIONS In this study, lower SES was associated with a higher incidence of chest pain presentations to emergency medical services and differences in care and outcomes. These findings suggest that substantial disparities for socioeconomically disadvantaged chest pain cohorts exist, even in the setting of universal health care access.

Project description:Background: Smoking, unhealthy alcohol consumption, poor diet and physical inactivity are leading risk factors for morbidity and mortality, and contribute substantially to overall healthcare costs. The availability of health surveys linked to health care provides population-based estimates of direct healthcare costs. We estimated health behaviour and socioeconomic-attribute healthcare costs, and how these have changed during a period when government policies have aimed to reduce their burden. Methods: The Ontario samples of the Canadian Community Health Surveys (conducted in 2003, 2005, and 2007-2008) were linked at the individual level to all records of health care use of publicly funded healthcare. Generalized linear models were estimated with a negative binomial distribution to ascertain the relationship of health behaviours and socioeconomic risk factors on health care costs. The multivariable cost model was applied to unlinked, Ontario CCHS samples for each year from 2004 to 2013 to examine the evolution of health behaviour and socioeconomic-attributable direct health care expenditures over a 10-year period. Results: We included 80,749 respondents, aged 25 years and older, and 312,952 person-years of follow-up. The cost model was applied to 200,324 respondents aged 25 years and older (CCHS 2004 to 2013). During the 10-year period from 2004 to 2013, smoking, unhealthy alcohol consumption, poor diet and physical inactivity attributed to 22% of Ontario's direct health care costs. Ontarians in the most disadvantaged socioeconomic position contributed to 15% of the province's direct health care costs. Combined, these health behaviour and socioeconomic risk factors were associated with 34% ($134 billion) of direct health care costs (2004 to 2013). Over this time period, we estimated a 1.9% reduction in health care expenditure ($5.0 billion) attributable to improvements in some health behaviours, most importantly reduced rates of smoking. Conclusions: Adverse health behaviours and socioeconomic position cause a large direct health care system cost burden.

Project description:Rational & objectiveNeighborhood socioeconomic status (SES) and health insurance status may be important upstream social determinants of chronic kidney disease (CKD), but their relationship remains unclear. The aim of this study was to determine whether neighborhood SES and individual-level health insurance status were independently associated with CKD prevalence.Study designObservational study using electronic health records (EHRs).Setting & participantsEHRs of patients (n = 185,269) seen at a health care system in the 7-county Minneapolis/St Paul area (2017-2018).ExposuresCensus tract neighborhood SES measures (median value of owner-occupied housing units [wealth], percentage of residents aged >25 years with bachelor's degree or higher [education]) and individual-level health insurance status (aged <65 years: Medicaid vs other insurance; ≥65 years: Medicare vs Medicare and supplemental insurance plan) were obtained from the American Community Survey and EHR data. Neighborhood SES was operationalized into quartiles, comparing low (first quartile) versus high (fourth quartile) neighborhood SES.OutcomesCKD prevalence: estimated glomerular filtration rate < 60 mL/min/1.73 m2 or proteinuria.Analytic approachMultilevel Poisson regression with robust error variance with a random intercept at the census-tract level, adjusted for demographic and clinical covariates, was used to estimate the association between neighborhood SES, insurance, and CKD.ResultsNeighborhood SES and insurance were independently associated with CKD prevalence. In covariate-adjusted models, patients living in low versus high neighborhood SES had a higher CKD prevalence among both younger and older patients. For example, the prevalence ratios of CKD in low versus high neighborhood SES as defined by education among patients younger than 65 and 65 years and older were 1.11 (95% CI, 1.05-1.18) and 1.08 (95% CI, 1.04-1.12), respectively. Patients younger than 65 years receiving Medicaid had higher CKD prevalence versus those with other insurance (1.51 [95% CI, 1.43-1.6]). For patients 65 years and older, insurance was not associated with prevalence of CKD in the fully adjusted model.LimitationsOne health care system and selection bias.ConclusionsLiving in low neighborhood SES as defined by wealth and education and having Medicaid for patients younger than 65 years were associated with higher CKD prevalence.

Dataset Information

Childbirth-Related Hospital Burden by Socioeconomic Status in a Universal Health Care Setting.

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Childbirth-Related Hospital Burden by Socioeconomic Status in a Universal Health Care Setting.

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