Albuminuria measurement in diabetic care : a multilevel analysis measuring the influence of accreditation on institutional performance
Ghith, Nermin LU ; Merlo, Juan LU
and Frølich, Anne
(2019)
In BMJ open quality
8(1).
- Abstract
Background: Studies assessing institutional performance regarding quality of care are frequently performed using single-level statistical analyses investigating differences between provider averages of various quality indicators. However, such analyses are insufficient as they do not consider patients' heterogeneity around those averages. Hence, we apply a multilevel analysis of individual-patient heterogeneity that distinguishes between 'general' ('latent quality' or measures of variance) and 'specific' (measures of association) contextual effects. We assess general contextual effects of the hospital departments and the specific contextual effect of a national accreditation programme on adherence to the standard benchmark for... (More)
Background: Studies assessing institutional performance regarding quality of care are frequently performed using single-level statistical analyses investigating differences between provider averages of various quality indicators. However, such analyses are insufficient as they do not consider patients' heterogeneity around those averages. Hence, we apply a multilevel analysis of individual-patient heterogeneity that distinguishes between 'general' ('latent quality' or measures of variance) and 'specific' (measures of association) contextual effects. We assess general contextual effects of the hospital departments and the specific contextual effect of a national accreditation programme on adherence to the standard benchmark for albuminuria measurement in Danish patients with diabetes. Methods: From the Danish Adult Diabetes Database, we extracted data on 137 893 patient cases admitted to hospitals between 2010 and 2013. Applying multilevel logistic and probit regression models for every year, we quantified general contextual effects of hospital department by the intraclass correlation coefficient (ICC) and the area under the receiver operating characteristic curve (AUC) values. We evaluated the specific effect of hospital accreditation using the ORs and the change in the department variance. Results: In 2010, the department context had considerable influence on adherence with albuminuria measurement (ICC=21.8%, AUC=0.770), but the general effect attenuated along with the implementation of the national accreditation programme. The ICC value was 16.5% in 2013 and the rate of compliance with albuminuria measurement increased from 91.6% in 2010 to 96% in 2013. Conclusions: Parallel to implementation of the national accreditation programme, departments' compliance with the standard benchmark for albuminuria measurement increased and the ICC values decreased, but remained high. While those results indicate an overall quality improvement, further intervention focusing on departments with the lowest compliance could be considered.
(Less)
- author
- Ghith, Nermin
LU
; Merlo, Juan
LU
and Frølich, Anne
- organization
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- subject
- in
- BMJ open quality
- volume
- 8
- issue
- 1
- article number
- e000449
- publisher
- BMJ Publishing Group
- external identifiers
-
- scopus:85083755370
- pmid:30729192
- ISSN
- 2399-6641
- DOI
- 10.1136/bmjoq-2018-000449
- language
- English
- LU publication?
- yes
- id
- 2de8dbac-5c66-4c82-ba2b-f6827b1a0736
- date added to LUP
- 2019-02-12 05:10:07
- date last changed
- 2024-06-25 06:43:04
@article{2de8dbac-5c66-4c82-ba2b-f6827b1a0736,
abstract = {{<p>Background: Studies assessing institutional performance regarding quality of care are frequently performed using single-level statistical analyses investigating differences between provider averages of various quality indicators. However, such analyses are insufficient as they do not consider patients' heterogeneity around those averages. Hence, we apply a multilevel analysis of individual-patient heterogeneity that distinguishes between 'general' ('latent quality' or measures of variance) and 'specific' (measures of association) contextual effects. We assess general contextual effects of the hospital departments and the specific contextual effect of a national accreditation programme on adherence to the standard benchmark for albuminuria measurement in Danish patients with diabetes. Methods: From the Danish Adult Diabetes Database, we extracted data on 137 893 patient cases admitted to hospitals between 2010 and 2013. Applying multilevel logistic and probit regression models for every year, we quantified general contextual effects of hospital department by the intraclass correlation coefficient (ICC) and the area under the receiver operating characteristic curve (AUC) values. We evaluated the specific effect of hospital accreditation using the ORs and the change in the department variance. Results: In 2010, the department context had considerable influence on adherence with albuminuria measurement (ICC=21.8%, AUC=0.770), but the general effect attenuated along with the implementation of the national accreditation programme. The ICC value was 16.5% in 2013 and the rate of compliance with albuminuria measurement increased from 91.6% in 2010 to 96% in 2013. Conclusions: Parallel to implementation of the national accreditation programme, departments' compliance with the standard benchmark for albuminuria measurement increased and the ICC values decreased, but remained high. While those results indicate an overall quality improvement, further intervention focusing on departments with the lowest compliance could be considered.</p>}},
author = {{Ghith, Nermin and Merlo, Juan and Frølich, Anne}},
issn = {{2399-6641}},
language = {{eng}},
number = {{1}},
publisher = {{BMJ Publishing Group}},
series = {{BMJ open quality}},
title = {{Albuminuria measurement in diabetic care : a multilevel analysis measuring the influence of accreditation on institutional performance}},
url = {{http://dx.doi.org/10.1136/bmjoq-2018-000449}},
doi = {{10.1136/bmjoq-2018-000449}},
volume = {{8}},
year = {{2019}},
}