Geographical and sociodemographic differences in statin dispensation after acute myocardial infarction in Sweden : a register-based prospective cohort study applying analysis of individual heterogeneity and discriminatory accuracy (AIHDA) for basic comparisons of healthcare quality
Merlo, Juan LU
; Öberg, Johan
LU
; Khalaf, Kani
LU
; Perez-Vicente, Raquel
LU
and Leckie, George
LU
(2023)
In BMJ Open
13(9).
p.1-12
- Abstract
BACKGROUND: In Sweden, as in many other countries, official monitoring of healthcare quality is mostly focused on geographical disparities in relation to a desirable benchmark. However, current evaluations could be improved by considering: (1) The intersection of other relevant axes of inequity like age, sex, income and migration status; and (2) The existence of individual heterogeneity around averages. Therefore, using an established quality indicator (ie, dispensation of statins after acute myocardial infarction, AMI), we valuate both geographical and sociodemographic inequalities and illustrate how the analysis of individual heterogeneity and discriminatory accuracy (AIHDA) enhances such evaluations.
POPULATION AND METHODS: We... (More)
BACKGROUND: In Sweden, as in many other countries, official monitoring of healthcare quality is mostly focused on geographical disparities in relation to a desirable benchmark. However, current evaluations could be improved by considering: (1) The intersection of other relevant axes of inequity like age, sex, income and migration status; and (2) The existence of individual heterogeneity around averages. Therefore, using an established quality indicator (ie, dispensation of statins after acute myocardial infarction, AMI), we valuate both geographical and sociodemographic inequalities and illustrate how the analysis of individual heterogeneity and discriminatory accuracy (AIHDA) enhances such evaluations.
POPULATION AND METHODS: We applied AIHDA and calculated the area under the receiver operating characteristics curve (AUC) of regional and sociodemographic differences in the statin dispensations of 35 044 patients from 21 Swedish regions and 24 sociodemographic strata who were discharged from the hospital with an AMI diagnosis between January 2011 and December 2013. Following the Swedish National Board of Health and Welfare, we used a benchmark value of 90%.
RESULTS: Dispensation of stains after AMI in Sweden did not reach the desired target of 90%. Regional differences were absent/very small (AUC=0.537) while sociodemographic differences were small (AUC=0.618). Women, especially those with immigrant background and older than 65 years, have the lowest proportions of statin dispensations after AMI.
CONCLUSIONS: As the AUC statistics are small, interventions trying to achieve the benchmark value should be universal. However, special emphasis should nevertheless be directed towards women, especially older women with immigrant backgrounds.
(Less)
- author
- Merlo, Juan
LU
; Öberg, Johan
LU
; Khalaf, Kani
LU
; Perez-Vicente, Raquel
LU
and Leckie, George
LU
- organization
- publishing date
- 2023-09-28
- type
- Contribution to journal
- publication status
- published
- subject
- in
- BMJ Open
- volume
- 13
- issue
- 9
- article number
- e063117
- pages
- 1 - 12
- publisher
- BMJ Publishing Group
- external identifiers
-
- scopus:85172825855
- pmid:37770265
- ISSN
- 2044-6055
- DOI
- 10.1136/bmjopen-2022-063117
- project
- Multilevel analysis of individual heterogeneity
- language
- English
- LU publication?
- yes
- additional info
- © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ.
- id
- b2205dd2-eb0f-45b7-b0fa-d5fa6a2e084e
- date added to LUP
- 2023-10-01 12:02:59
- date last changed
- 2024-04-19 02:51:12
@article{b2205dd2-eb0f-45b7-b0fa-d5fa6a2e084e,
abstract = {{<p>BACKGROUND: In Sweden, as in many other countries, official monitoring of healthcare quality is mostly focused on geographical disparities in relation to a desirable benchmark. However, current evaluations could be improved by considering: (1) The intersection of other relevant axes of inequity like age, sex, income and migration status; and (2) The existence of individual heterogeneity around averages. Therefore, using an established quality indicator (ie, dispensation of statins after acute myocardial infarction, AMI), we valuate both geographical and sociodemographic inequalities and illustrate how the analysis of individual heterogeneity and discriminatory accuracy (AIHDA) enhances such evaluations.</p><p>POPULATION AND METHODS: We applied AIHDA and calculated the area under the receiver operating characteristics curve (AUC) of regional and sociodemographic differences in the statin dispensations of 35 044 patients from 21 Swedish regions and 24 sociodemographic strata who were discharged from the hospital with an AMI diagnosis between January 2011 and December 2013. Following the Swedish National Board of Health and Welfare, we used a benchmark value of 90%.</p><p>RESULTS: Dispensation of stains after AMI in Sweden did not reach the desired target of 90%. Regional differences were absent/very small (AUC=0.537) while sociodemographic differences were small (AUC=0.618). Women, especially those with immigrant background and older than 65 years, have the lowest proportions of statin dispensations after AMI.</p><p>CONCLUSIONS: As the AUC statistics are small, interventions trying to achieve the benchmark value should be universal. However, special emphasis should nevertheless be directed towards women, especially older women with immigrant backgrounds.</p>}},
author = {{Merlo, Juan and Öberg, Johan and Khalaf, Kani and Perez-Vicente, Raquel and Leckie, George}},
issn = {{2044-6055}},
language = {{eng}},
month = {{09}},
number = {{9}},
pages = {{1--12}},
publisher = {{BMJ Publishing Group}},
series = {{BMJ Open}},
title = {{Geographical and sociodemographic differences in statin dispensation after acute myocardial infarction in Sweden : a register-based prospective cohort study applying analysis of individual heterogeneity and discriminatory accuracy (AIHDA) for basic comparisons of healthcare quality}},
url = {{http://dx.doi.org/10.1136/bmjopen-2022-063117}},
doi = {{10.1136/bmjopen-2022-063117}},
volume = {{13}},
year = {{2023}},
}