ISSN: 1885-5857 Impact factor 2023 7.2
Vol. 76. Num. 1.
Pages 74-75 (January 2023)

Letter to the editor
RECALCAR methodology. Some clarifications

Precisiones sobre la metodología de RECALCAR

Ángel CequieraJosé Luis BernalbcCristina Fernández PérezbdFrancisco Javier Elolab
Rev Esp Cardiol. 2022;75:783-510.1016/j.rec.2022.05.028
Jaume Marrugat, Isaac Subirana, Irene R. Dégano
Rev Esp Cardiol. 2023;76:7510.1016/j.rec.2022.08.016
Jaume Marrugat, Isaac Subirana, Irene R. Dégano

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To the Editor,

We have read with interest the editorial published in Revista Española de Cardiología by Marrugat et al.,1 who took the time to focus on the methodology of the RECALCAR project. Although the editorial addresses other methodological aspects, we limit our letter exclusively to issues that could lead to incorrect interpretations related to the methodology of the project.

The territorial and population scope of RECALCAR does not exclude “122 facilities at 283 public hospitals with a cardiology department” but only includes all general hospitals for acute patients in the Spanish national health system. The reference taken by Marrugat et al. from the Ministry of Health includes medium- and long-stay public hospitals and psychiatric hospitals, and considers that a hospital offers cardiology care even if it has only 1 cardiologist. RECALCAR only assesses hospitals with structured cardiology units or departments.

The method used to calculate the risk-adjusted mortality ratio (RAMR) is not based on the minimum data set of patient discharges from the hospitals completing the RECALCAR survey, but rather on all general hospitals for acute patients in the Spanish national health system. All units or departments participating in RECALCAR were informed of the complexity group in which they were included, along with their average, median, standard deviation, interquartile range, and percentile for each indicator calculated, including the RAMR. Because RECALCAR collects a large volume of data (very narrow confidence intervals), we understand that this information is much more useful to department heads.

Last, we should mention some of the differences between the RAMR and the risk-adjusted in-hospital mortality rates in acute myocardial infarction (AMI) of the EURHOBOP project.2 While EURHOBOP was constructed with data from 11 631 patients with AMI at 68 hospitals in 7 European countries over a 4-year period (2008-2012) using univariate logistic regression models, the RECALCAR survey for only 2020 (last year available) analyzed 44 936 episodes of AMI (differentiating between ST-segment elevation AMI [STEMI] and non–ST-segment elevation AMI [NSTEMI])3 from all general hospitals for acute patients in the Spanish national health system (n=256). The methodological consistency used to calculate the RAMR is supported by RECALCAR's use of multilevel logistic regression models (considering intrahospital variability in addition to each patient's characteristics),4 by the excellent calibration and discrimination obtained with these models (area under the curve [AUC] ROC=0.87; 95% confidence interval [95%CI], 0.86-0.87 for STEMI; AUC ROC=0.86; 95%CI, 0.86-0.85 for NSTEMI), and by the validation of the minimum data set as a data source for studying acute coronary syndrome in the Spanish health system.5

We agree with Marrrugat et al. that region-based hospital groups are subject to many hard-to-control factors. However, RECALCAR was designed from the start as a project meant to undergo ongoing analysis and continuous improvements to provide indicators that could reflect the quality of cardiology care with ever-increasing accuracy. This challenge includes a comparison between health services in the various autonomous communities and has already helped bring about further standardization of care networks for STEMI.6 Constructive observations, such as those of the authors of the editorial, are appreciated because they will drive improvements to the quality of the RECALCAR project.

FUNDING

No funding has been received.

AUTHORS’ CONTRIBUTIONS

All authors have made equal contributions to the preparation of the letter.

CONFLICTS OF INTEREST

The authors declare no conflicts of interests related to this letter.

References
[1]
J. Marrugat, I. Subirana, I.R. Dégano.
¿Hasta qué nivel regional se puede analizar la calidad asistencial?.
[2]
I.R. Dégano, I. Subirana, M. Torre, et al.
A European benchmarking system to evaluate in-hospital mortality rates in acute coronary syndrome: the EURHOBOP project.
Int J Cardiol., (2015), 182 pp. 509-516
[3]
L. Rodriguez-Padial, F.J. Elola, C. Fernández-Pérez, et al.
Patterns of inpatient care for acute myocardial infarction and 30-day, 3–month and 1-year cardiac diseases readmission rates in Spain.
Int J Cardiol., (2017), 230 pp. 14-20
[4]
H. Goldstein, D.J. Spiegelhalter.
League tables and their limitations: statistical aspects of institutional performance.
J R Statis Soc A., (1996), 159 pp. 385-443
[5]
J.L. Bernal, J.A. Barrabés, A. Íñiguez, et al.
Clinical and Administrative Data on the Research of Acute Coronary Syndrome in Spain. Minimum Basic Data Set Validity.
Rev Esp Cardiol., (2019), 72 pp. 56-62
[6]
Á. Cequier, A. Ariza-Solé, F.J. Elola, et al.
Impact on Mortality of Different Network Systems in the Treatment of ST-segment Elevation Acute Myocardial Infarction. The Spanish Experience.
Rev Esp Cardiol., (2017), 70 pp. 155-161
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