The role of the clinical departments for understanding patient heterogeneity in one-year mortality after a diagnosis of heart failure : A multilevel analysis of individual heterogeneity for profiling provider outcomes
Ghith, Nermin LU ; Frølich, Anne and Merlo, Juan LU
(2017)
In PLoS ONE
12(12).
- Abstract
PURPOSE: To evaluate the general contextual effect (GCE) of the hospital department on one-year mortality in Swedish and Danish patients with heart failure (HF) by applying a multilevel analysis of individual heterogeneity.
METHODS: Using the Swedish patient register, we obtained data on 36,943 patients who were 45-80 years old and admitted for HF to the hospital between 2007 and 2009. From the Danish Heart Failure Database (DHFD), we obtained data on 12,001 patients with incident HF who were 18 years or older and treated at hospitals between June 2010 and June2013. For each year, we applied two-step single and multilevel logistic regression models. We evaluated the general effects of the department by quantifying the intra-class... (More)
PURPOSE: To evaluate the general contextual effect (GCE) of the hospital department on one-year mortality in Swedish and Danish patients with heart failure (HF) by applying a multilevel analysis of individual heterogeneity.
METHODS: Using the Swedish patient register, we obtained data on 36,943 patients who were 45-80 years old and admitted for HF to the hospital between 2007 and 2009. From the Danish Heart Failure Database (DHFD), we obtained data on 12,001 patients with incident HF who were 18 years or older and treated at hospitals between June 2010 and June2013. For each year, we applied two-step single and multilevel logistic regression models. We evaluated the general effects of the department by quantifying the intra-class correlation coefficient (ICC) and the increment in the area under the receiver operating characteristic curve (AUC) obtained by adding the random effects of the department in a multilevel logistic regression analysis.
RESULTS: One-year mortality for Danish incident HF patients was low in the three audit years (around 11.1% -13.1%) and departments performed homogeneously (ICC ≈1.5% - 3.5%). The discriminatory accuracy of a model including age and gender was rather high (AUC≈ 0.71-0.73) but the increment in AUC after adding the department random effects into these models was only about 0.011-0.022 units in the three years. One-year mortality in Swedish patients with first hospitalization for heart failure, was relatively higher for 2007-2009 (≈21.3% - 22%) and departments performed homogeneously (ICC ≈ 1.5% - 3%). The discriminatory accuracy of a model including age, gender and patient risk score was rather high (AUC≈ 0.726-0.728) but the increment in AUC after adding the department random effects was only about 0.010-0.017 units in the three years.
CONCLUSION: Using the DHFD standard benchmark for one-year mortality, Danish departments had a good, homogeneous performance. In reference to literature, Swedish departments had a homogeneous performance and the mortality rates for patients with first hospitalization for heart failure were similar to those reported since 2000. Considering this, if health authorities decide to further reduce mortality rates, a comprehensive quality strategy should focus on all Swedish hospitals. Yet, a complementary assessment for the period after the study period is required to confirm whether department performance is still homogeneous or not to determine the most appropriate action.
(Less)
- author
- Ghith, Nermin
LU
; Frølich, Anne
and Merlo, Juan
LU
- organization
- publishing date
- 2017
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Journal Article
- in
- PLoS ONE
- volume
- 12
- issue
- 12
- article number
- e0189050
- publisher
- Public Library of Science (PLoS)
- external identifiers
-
- pmid:29211785
- scopus:85037086700
- wos:000417212200059
- ISSN
- 1932-6203
- DOI
- 10.1371/journal.pone.0189050
- project
- Flernivåanalyser av individuell heterogenitet: innovativa koncepter och metodologiska ansatser inom Folkhälsa och Socialepidemiologi
- language
- English
- LU publication?
- yes
- id
- d8088d46-4b3f-4f70-952c-b36c87402bbb
- date added to LUP
- 2017-12-17 21:19:53
- date last changed
- 2024-02-13 14:19:58
@article{d8088d46-4b3f-4f70-952c-b36c87402bbb,
abstract = {{<p>PURPOSE: To evaluate the general contextual effect (GCE) of the hospital department on one-year mortality in Swedish and Danish patients with heart failure (HF) by applying a multilevel analysis of individual heterogeneity.</p><p>METHODS: Using the Swedish patient register, we obtained data on 36,943 patients who were 45-80 years old and admitted for HF to the hospital between 2007 and 2009. From the Danish Heart Failure Database (DHFD), we obtained data on 12,001 patients with incident HF who were 18 years or older and treated at hospitals between June 2010 and June2013. For each year, we applied two-step single and multilevel logistic regression models. We evaluated the general effects of the department by quantifying the intra-class correlation coefficient (ICC) and the increment in the area under the receiver operating characteristic curve (AUC) obtained by adding the random effects of the department in a multilevel logistic regression analysis.</p><p>RESULTS: One-year mortality for Danish incident HF patients was low in the three audit years (around 11.1% -13.1%) and departments performed homogeneously (ICC ≈1.5% - 3.5%). The discriminatory accuracy of a model including age and gender was rather high (AUC≈ 0.71-0.73) but the increment in AUC after adding the department random effects into these models was only about 0.011-0.022 units in the three years. One-year mortality in Swedish patients with first hospitalization for heart failure, was relatively higher for 2007-2009 (≈21.3% - 22%) and departments performed homogeneously (ICC ≈ 1.5% - 3%). The discriminatory accuracy of a model including age, gender and patient risk score was rather high (AUC≈ 0.726-0.728) but the increment in AUC after adding the department random effects was only about 0.010-0.017 units in the three years.</p><p>CONCLUSION: Using the DHFD standard benchmark for one-year mortality, Danish departments had a good, homogeneous performance. In reference to literature, Swedish departments had a homogeneous performance and the mortality rates for patients with first hospitalization for heart failure were similar to those reported since 2000. Considering this, if health authorities decide to further reduce mortality rates, a comprehensive quality strategy should focus on all Swedish hospitals. Yet, a complementary assessment for the period after the study period is required to confirm whether department performance is still homogeneous or not to determine the most appropriate action.</p>}},
author = {{Ghith, Nermin and Frølich, Anne and Merlo, Juan}},
issn = {{1932-6203}},
keywords = {{Journal Article}},
language = {{eng}},
number = {{12}},
publisher = {{Public Library of Science (PLoS)}},
series = {{PLoS ONE}},
title = {{The role of the clinical departments for understanding patient heterogeneity in one-year mortality after a diagnosis of heart failure : A multilevel analysis of individual heterogeneity for profiling provider outcomes}},
url = {{http://dx.doi.org/10.1371/journal.pone.0189050}},
doi = {{10.1371/journal.pone.0189050}},
volume = {{12}},
year = {{2017}},
}