Correction: Precision public health: Mapping socioeconomic disparities in opioid dispensations at Swedish pharmacies by Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA)

Persmark, Anna; Wemrell, Maria; Zettermark, Sofia; Leckie, George; Subramanian, S. V.; Merlo, Juan

doi:10.1371/journal.pone.0224008

Cited by 1 publication

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“…That is, to which degree the group-level information is able to discriminate with accuracy patients with, from those without the indicator under study. 9 The idea of discriminatory accuracy is fundamental in many fields of epidemiology not only when evaluating statistical model prediction, 38 but also in the evaluation of diagnostic and prognostic tests, 34 as well as risk factors in public health 6 and in the study of geographical 37 and socioeconomic 19 determinates of health. It is also a cornerstone in current precision medicine.…”

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confidence: 99%

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,

Öberg,

Khalaf

et al. 2023

BMJ Open

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BackgroundIn 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 methodsWe 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%.ResultsDispensation 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.ConclusionsAs 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.

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