Literature DB >> 31749635

Socioeconomic Status And Acute Stroke Care: Has The Inequality Gap Been Closed?

Vibe Bolvig Hyldgård1,2, Søren Paaske Johnsen3, Henrik Støvring4, Rikke Søgaard1,5.   

Abstract

PURPOSE: Socioeconomic inequality in stroke care occurs even in countries with free access to health care. We aimed to investigate the association between socioeconomic status and guideline-recommended acute care in Denmark during the last decade.
DESIGN: We conducted a nationwide, population-based study. We used household income, employment status, and education as markers of socioeconomic status and adjusted the results for relevant clinical covariates. We used weighted linear regression models to analyse empirical log odds of performance measure fulfillment at patient level.
SETTING: Public hospitals in Denmark. PARTICIPANTS: A total of 110,848 consecutive stroke patients discharged between 2004 and 2014.
INTERVENTIONS: Acute stroke care according to clinical guidelines. MAIN OUTCOME MEASURES: Guideline-recommended care was defined in two ways based on clinical performance measures: the percentage of fulfilled measures used throughout the study period (m=8) (model 1) and the percentage of fulfilled measures used at the time of discharge (m=8 to 16) (model 2).
RESULTS: Compared with high family income, low income was negatively associated with the guideline-recommended care; odds ratios (95% CI) were 0.89 (0.85-0.93) in model 1 and 0.81 (0.77-0.85) in model 2. Low family income was negatively associated with fulfillment of 14 of the 16 performance measures. In general, the percentage of performance measures fulfilled increased over time from 70% (95% CI 63-76) to 85% (95% CI 83-87).
CONCLUSION: Socioeconomic inequality in guideline-recommended stroke care remains despite overall improvements in a setting with free access to care and systematic monitoring of health care quality.
© 2019 Hyldgård et al.

Entities:  

Keywords:  access to care; health inequality; quality of care; stroke

Year:  2019        PMID: 31749635      PMCID: PMC6817766          DOI: 10.2147/CLEP.S218322

Source DB:  PubMed          Journal:  Clin Epidemiol        ISSN: 1179-1349            Impact factor:   4.790


  26 in total

1.  Socioeconomic differences in quality of care and clinical outcome after stroke: a nationwide population-based study.

Authors:  Vivian Langagergaard; Kaare H Palnum; Frank Mehnert; Annette Ingeman; Birgitte R Krogh; Paul Bartels; Søren P Johnsen
Journal:  Stroke       Date:  2011-08-04       Impact factor: 7.914

2.  On the bias of various estimators of the logit and its variance with application to quantal bioassay.

Authors:  J J Gart; J R Zweifel
Journal:  Biometrika       Date:  1967-06       Impact factor: 2.445

3.  Introduction to Danish (nationwide) registers on health and social issues: structure, access, legislation, and archiving.

Authors:  Lau Caspar Thygesen; Camilla Daasnes; Ivan Thaulow; Henrik Brønnum-Hansen
Journal:  Scand J Public Health       Date:  2011-07       Impact factor: 3.021

4.  The relationship between educational attainment and waiting time among the elderly in Norway.

Authors:  Fredrik Carlsen; Oddvar Martin Kaarboe
Journal:  Health Policy       Date:  2015-10-09       Impact factor: 2.980

5.  Socioeconomic Status and the Risk of Stroke Recurrence: Persisting Gaps Observed in a Nationwide Swedish Study 2001 to 2012.

Authors:  Johanna Pennlert; Kjell Asplund; Eva-Lotta Glader; Bo Norrving; Marie Eriksson
Journal:  Stroke       Date:  2017-05-02       Impact factor: 7.914

6.  Danish registers on personal labour market affiliation.

Authors:  Flemming Petersson; Mikkel Baadsgaard; Lau Caspar Thygesen
Journal:  Scand J Public Health       Date:  2011-07       Impact factor: 3.021

7.  Registration of acute stroke: validity in the Danish Stroke Registry and the Danish National Registry of Patients.

Authors:  Cathrine Wildenschild; Frank Mehnert; Reimar Wernich Thomsen; Helle Klingenberg Iversen; Karsten Vestergaard; Annette Ingeman; Søren Paaske Johnsen
Journal:  Clin Epidemiol       Date:  2013-12-23       Impact factor: 4.790

Review 8.  The Danish Stroke Registry.

Authors:  Søren Paaske Johnsen; Annette Ingeman; Heidi Holmager Hundborg; Susanne Zielke Schaarup; Jesper Gyllenborg
Journal:  Clin Epidemiol       Date:  2016-10-25       Impact factor: 4.790

9.  Different indicators of socioeconomic status and their relative importance as determinants of health in old age.

Authors:  Alexander Darin-Mattsson; Stefan Fors; Ingemar Kåreholt
Journal:  Int J Equity Health       Date:  2017-09-26

10.  The association between socioeconomic status and disability after stroke: findings from the Adherence eValuation After Ischemic stroke Longitudinal (AVAIL) registry.

Authors:  Janet Prvu Bettger; Xin Zhao; Cheryl Bushnell; Louise Zimmer; Wenqin Pan; Linda S Williams; Eric D Peterson
Journal:  BMC Public Health       Date:  2014-03-26       Impact factor: 3.295

View more
  4 in total

1.  Evaluation of Between-County Disparities in Premature Mortality Due to Stroke in the US.

Authors:  Suhang Song; Gaoting Ma; Michael G Trisolini; Kenneth A Labresh; Sidney C Smith; Yinzi Jin; Zhi-Jie Zheng
Journal:  JAMA Netw Open       Date:  2021-05-03

2.  Possible associations between callers' degree-of-worry and their socioeconomic status when contacting out-of-hours services: a prospective cohort study.

Authors:  Sita LeBlanc Thilsted; Fredrik Folke; Janne S Tolstrup; Lau Caspar Thygesen; Hejdi Gamst-Jensen
Journal:  BMC Emerg Med       Date:  2021-04-28

3.  Index-Based Inequality in Quality of Care: An Empirical Comparison of Apples and Pears.

Authors:  Vibe Bolvig Hyldgård; Søren Paaske Johnsen; Rikke Søgaard
Journal:  Clin Epidemiol       Date:  2021-09-03       Impact factor: 4.790

4.  The impact of socioeconomic status on the utilization of total hip arthroplasty during 1995-2017: 104,055 THA cases and 520,275 population controls from national databases in Denmark.

Authors:  Nina M Edwards; Claus Varnum; Søren Overgaard; Alma B Pedersen
Journal:  Acta Orthop       Date:  2020-10-27       Impact factor: 3.717

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.