Evidence map›Paper›PMID 32765111›Full record

ArticleClinical epidemiology2020

Geographical and sociodemographic differences in discontinuation of medication for Chronic Obstructive Pulmonary Disease - A Cross-Classified Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA).

Kani Khalaf, Sten Axelsson Fisk, Ann Ekberg-Jansson, George Leckie, Raquel Perez-Vicente, Juan Merlo

Abstract read
In one paragraph

Article in Clinical epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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11citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. From Averages to Heterogeneity: A Plain-Language Guide to MAIHDA in Epidemiology.International journal of social determinants of health and health services · 2026
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Kani Khalaf *Unit for Social Epidemiology, Faculty of Medicine, Lund University, Malmö, Sweden.ORCID 0000-0002-6749-7037
Sten Axelsson Fisk *Unit for Social Epidemiology, Faculty of Medicine, Lund University, Malmö, Sweden.ORCID 0000-0002-8110-8376
Ann Ekberg-JanssonDepartment of Research and Development, Region Halland, Halmstad, Sweden.
George LeckieUnit for Social Epidemiology, Faculty of Medicine, Lund University, Malmö, Sweden.ORCID 0000-0003-1486-745X
Raquel Perez-VicenteUnit for Social Epidemiology, Faculty of Medicine, Lund University, Malmö, Sweden.
Juan MerloUnit for Social Epidemiology, Faculty of Medicine, Lund University, Malmö, Sweden.ORCID 0000-0001-8379-9708

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile discontinuation of COPD maintenance medication is a known problem, the proportion of patients with discontinuation and its geographical and sociodemographic distribution are so far unknown in Sweden. Therefore, we analyse this question by applying an innovative approach called multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA). PATIENTS AND

methodsWe analysed 49,019 patients categorized into 18 sociodemographic contexts and 21 counties of residence. All patients had a hospital COPD diagnosis and had been on inhaled maintenance medication during the 5 years before the study baseline in 2010. We defined "discontinuation" as the absolute lack of retrieval from a pharmacy of any inhaled maintenance medication during 2011. We performed a cross-classified MAIHDA and obtained the average proportion of discontinuation, as well as county and sociodemographic absolute risks, and compared them with a proposed benchmark value of 10%. We calculated the variance partition coefficient (VPC) and the area under the receiver operating characteristics curve (AUC) to quantify county and sociodemographic differences. To summarize the results, we used a framework with 15 scenarios defined by the size of the differences and the level of achievement in relation to the benchmark value.

resultsAround 18% of COPD patients in Sweden discontinued maintenance medication, so the benchmark value was not achieved. There were very small county differences (VPC=0.35%, AUC=0.54). The sociodemographic differences were small (VPC=4.98%, AUC=0.57).

conclusionContinuity of maintenance medication among COPD patients in Sweden could be improved by reducing the unjustifiably high prevalence of discontinuation. The very small county and small sociodemographic differences should motivate universal interventions across all counties and sociodemographic groups. Geographical analyses should be combined with sociodemographic analyses, and the cross-classified MAIHDA is an appropriate tool to assess health-care quality.

Indexed as

complianceCOPDdiscriminatory accuracyequity in health carehealth care qualitymultilevel analysissocioeconomic inequity

Identifiers

PMID32765111
PMCPMC7381094

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