Incidence and outcomes of hospital treated acute myocarditis from 2003 to 2015 in Spain.

BACKGROUND: There are no data on population-based epidemiological changes in acute myocarditis in Europe. Our aim was to evaluate temporal trends in incidence, clinical features and outcomes of hospital treated acute myocarditis (AM) in Spain from 2003 to 2015. METHODS: We conducted a retrospective longitudinal study using information of all hospital discharges of the Spanish National Health System. All episodes with a discharge diagnosis of AM from 1 January 2003 to 31 December 2015 were included. The risk-standardized in-hospital mortality ratio (RSMR) was calculated using a multilevel risk-adjustment model developed by the Medicare and Medicaid Services. Temporal trends for in-hospital mortality were modelled using Poisson regression analysis. RESULTS: A total of 11 147 episodes of AM were analysed, most of them idiopathic (94.7%). The rate of AM discharges increased along the period, from 13 to 30/million inhabitants/year (2003-2015), and this increase was statistically significant when weighted by age and sex (incidence rate ratio, IRR 1.06, 95% CI 1.04-1.08, P = .001). In-hospital crude mortality rate was 3.1%, diminishing significantly along 2003-2015 (IRR 0.95, 95% CI 0.92-0.99, P = .02). RSMR also significantly diminished along the period (IRR 0.95, 95% CI 0.92-0.99, P = .01). Renal failure (OR 7.03, 5.38-9.18, P = .001), liver disease (OR 4.61, 2.59-8.21, P = .001), pneumonia (OR 4.13, 2.75-6.20, P = .001) and heart failure (OR 1.91, 95% CI 1.47-2.47, P = .001) were the strongest independent factors associated with in-hospital mortality. CONCLUSIONS: Acute myocarditis is an uncommon entity, although hospital discharges have increased in Spain along the study period. Most of AM were idiopathic. Adjusted mortality was low and seemed to decrease from 2003 to 2015, suggesting an improvement in AM management.

Obtaining EHR-derived datasets for COVID-19 research within a short time: a flexible methodology based on Detailed Clinical Models.

BACKGROUND: COVID-19 ranks as the single largest health incident worldwide in decades. In such a scenario, electronic health records (EHRs) should provide a timely response to healthcare needs and to data uses that go beyond direct medical care and are known as secondary uses, which include biomedical research. However, it is usual for each data analysis initiative to define its own information model in line with its requirements. These specifications share clinical concepts, but differ in format and recording criteria, something that creates data entry redundancy in multiple electronic data capture systems (EDCs) with the consequent investment of effort and time by the organization. OBJECTIVE: This study sought to design and implement a flexible methodology based on detailed clinical models (DCM), which would enable EHRs generated in a tertiary hospital to be effectively reused without loss of meaning and within a short time. MATERIAL AND METHODS: The proposed methodology comprises four stages: (1) specification of an initial set of relevant variables for COVID-19; (2) modeling and formalization of clinical concepts using ISO 13606 standard and SNOMED CT and LOINC terminologies; (3) definition of transformation rules to generate secondary use models from standardized EHRs and development of them using R language; and (4) implementation and validation of the methodology through the generation of the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC-WHO) COVID-19 case report form. This process has been implemented into a 1300-bed tertiary Hospital for a cohort of 4489 patients hospitalized from 25 February 2020 to 10 September 2020. RESULTS: An initial and expandable set of relevant concepts for COVID-19 was identified, modeled and formalized using ISO-13606 standard and SNOMED CT and LOINC terminologies. Similarly, an algorithm was designed and implemented with R and then applied to process EHRs in accordance with standardized concepts, transforming them into secondary use models. Lastly, these resources were applied to obtain a data extract conforming to the ISARIC-WHO COVID-19 case report form, without requiring manual data collection. The methodology allowed obtaining the observation domain of this model with a coverage of over 85% of patients in the majority of concepts. CONCLUSION: This study has furnished a solution to the difficulty of rapidly and efficiently obtaining EHR-derived data for secondary use in COVID-19, capable of adapting to changes in data specifications and applicable to other organizations and other health conditions. The conclusion to be drawn from this initial validation is that this DCM-based methodology allows the effective reuse of EHRs generated in a tertiary Hospital during COVID-19 pandemic, with no additional effort or time for the organization and with a greater data scope than that yielded by conventional manual data collection process in ad-hoc EDCs.

[Hospital admissions and outcomes for systolic and diastolic heart failure in Spain between 2016 and 2019: A population-based study]. / Hospitalizaciones y eventos por insuficiencia cardiaca sistólica y diastólica en España entre 2016 y 2019. Un estudio de base poblacional.

BACKGROUND AND PURPOSE: In Spain there is a lack of population data that specifically compare hospitalization for systolic and diastolic heart failure (HF). We assessed clinical characteristics, in-hospital mortality and 30-day cardiovascular readmission rates differentiating by HF type. METHODS: We conducted a retrospective observational study of patients discharged with the principal diagnosis of HF from The National Health System' acute hospital during 2016-2019, distinguishing between systolic and diastolic HF. The source of the data was the Minimum Basic Data Set. The risk-standardized in-hospital mortality ratio and risk-standardized 30-day cardiovascular readmission ratio were calculated using multilevel risk adjustment models. RESULTS: The 190,200 episodes of HF were selected. Of these, 163,727 (86.1%) were classified as diastolic HF and were characterized by older age, higher proportion of women, diabetes mellitus, dementia and renal failure than those with systolic HF. In the multilevel risk adjustment models, diastolic HF was a protective factor for both in-hospital mortality (odds ratio [OR]: 0.79; 95% confidence interval [CI]: 0.75-0.83; P<.001) and 30-day cardiovascular readmission versus systolic HF (OR: 0.93; 95% CI: 0.88-0.97; P=.002). CONCLUSIONS: In Spain, between 2016 and 2019, hospitalization episodes for HF were mostly due to diastolic HF. According to the multilevel risk adjustment models, diastolic HF compared to systolic HF was a protective factor for both in-hospital mortality and 30-day cardiovascular readmission.

TransformEHRs: a flexible methodology for building transparent ETL processes for EHR reuse.

BACKGROUND: During the COVID-19 pandemic, several methodologies were designed for obtaining electronic health record (EHR)-derived datasets for research. These processes are often based on black boxes, on which clinical researchers are unaware of how the data were recorded, extracted, and transformed. In order to solve this, it is essential that extract, transform, and load (ETL) processes are based on transparent, homogeneous, and formal methodologies, making them understandable, reproducible, and auditable. OBJECTIVES: This study aims to design and implement a methodology, according with FAIR Principles, for building ETL processes (focused on data extraction, selection, and transformation) for EHR reuse in a transparent and flexible manner, applicable to any clinical condition and health care organization. METHODS: The proposed methodology comprises four stages: (1) analysis of secondary use models and identification of data operations, based on internationally used clinical repositories, case report forms, and aggregated datasets; (2) modeling and formalization of data operations, through the paradigm of the Detailed Clinical Models; (3) agnostic development of data operations, selecting SQL and R as programming languages; and (4) automation of the ETL instantiation, building a formal configuration file with XML. RESULTS: First, four international projects were analyzed to identify 17 operations, necessary to obtain datasets according to the specifications of these projects from the EHR. With this, each of the data operations was formalized, using the ISO 13606 reference model, specifying the valid data types as arguments, inputs and outputs, and their cardinality. Then, an agnostic catalog of data was developed through data-oriented programming languages previously selected. Finally, an automated ETL instantiation process was built from an ETL configuration file formally defined. CONCLUSIONS: This study has provided a transparent and flexible solution to the difficulty of making the processes for obtaining EHR-derived data for secondary use understandable, auditable, and reproducible. Moreover, the abstraction carried out in this study means that any previous EHR reuse methodology can incorporate these results into them.

The effect of weekends and public holidays on the care of acute coronary syndrome in the Spanish National Health System.

INTRODUCTION AND OBJECTIVES: To analyze whether admission on weekends or public holidays (WHA) influences the management (performance of angioplasty, percutaneous coronary intervention [PCI]) and outcomes (in-hospital mortality) of patients hospitalized for acute coronary syndrome in the Spanish National Health System compared with admission on weekdays. METHODS: Retrospective observational study of patients admitted for ST-segment elevation myocardial infarction (STEMI) or for non-ST-segment elevation acute coronary syndrome (NSTEACS) in hospitals of the Spanish National Health system from 2003 to 2018. RESULTS: A total of 438 987 episodes of STEMI and 486 565 of NSTEACS were selected, of which 28.8% and 26.1% were WHA, respectively. Risk-adjusted models showed that WHA was a risk factor for in-hospital mortality in STEMI (OR, 1.05; 95%CI,1.03-1.08; P < .001) and in NSTEACS (OR, 1.08; 95%CI, 1.05-1.12; P < .001). The rate of PCI performance in STEMI was more than 2 percentage points higher in patients admitted on weekdays from 2003 to 2011 and was similar or even lower from 2012 to 2018, with no significant changes in NSTEACS. WHA was a statistically significant risk factor for both STEMI and NSTEACS. CONCLUSIONS: WHA can increase the risk of in-hospital death by 5% (STEMI) and 8% (NSTEACS). The persistence of the risk of higher in-hospital mortality, after adjustment for the performance of PCI and other explanatory variables, probably indicates deficiencies in management during the weekend compared with weekdays.

In-hospital outcomes of mechanical complications in acute myocardial infarction: Analysis from a nationwide Spanish database.

BACKGROUND: Mechanical complications represent an important cause of mortality in myocardial infarction (MI) patients. This is a nationwide study performed to evaluate possible changes in epidemiology or prognosis of these complications with current available strategies. METHODS: Information was obtained from the minimum basis data set of the Spanish National Health System, including all hospitalizations for acute myocardial infarction (AMI) from 2010 to 2015. Risk-standardized in-hospital mortality ratio was calculated using multilevel risk adjustment models. RESULTS: A total of 241,760 AMI episodes were analyzed, MI mechanical complications were observed in 842 patients: cardiac tamponade in 587, ventricular septal rupture in 126, and mitral regurgitation due to papillary muscle or chordae tendineae rupture in 155 (there was more than one complication in 21 patients). In-hospital mortality was 59.5%. On multivariate adjustment, variables with significant impact on in-hospital mortality were: age (OR 1.06; 95% CI 1.04-1.07; p < 0.001), ST-segment elevation AMI (OR 2.91; 95% CI 1.88-4.5; p < 0.001), cardiogenic shock (OR 2.35; 95% CI 1.66-3.32; p < 0.001), cardio-respiratory failure (OR 3.48; 95% CI 2.37-5.09; p < 0.001), and chronic obstructive pulmonary disease (OR 1.85; 95% CI 1.07-3.20; p < 0.001). No significant trends in risk-adjusted in-hospital mortality were detected (IRR 0.997; p = 0.109). Cardiac intensive care unit availability and more experience with mechanical complications management were associated with lower adjusted mortality rates (56.7 ± 5.8 vs. 60.1 ± 4.5; and 57 ± 6.1 vs. 59.9 ± 5.6, respectively; p < 0.001). CONCLUSIONS: Mechanical complications occur in 3.5 per thousand AMI, with no significant trends to better survival over the past few years. Advanced age, cardiogenic shock and cardio-respiratory failure are the most important risk factors for in-hospital mortality. Higher experience and specialized cardiac intensive care units are associated with better outcomes.

Impact of Heart Failure on In-Hospital Outcomes after Surgical Femoral Neck Fracture Treatment.

BACKGROUND: Femoral neck fracture (FNF) is a common condition with a rising incidence, partly due to aging of the population. It is recommended that FNF should be treated at the earliest opportunity, during daytime hours, including weekends. However, early surgery shortens the available time for preoperative medical examination. Cardiac evaluation is critical for good surgical outcomes as most of these patients are older and frail with other comorbid conditions, such as heart failure. The aim of this study was to determine the impact of heart failure on in-hospital outcomes after surgical femoral neck fracture treatment. METHODS: We performed a retrospective study using the Spanish National Hospital Discharge Database, 2007-2015. We included patients older than 64 years treated for reduction and internal fixation of FNF. Demographic characteristics of patients, as well as administrative variables, related to patient's diseases and procedures performed during the episode were evaluated. RESULTS: A total of 234,159 episodes with FNF reduction and internal fixation were identified from Spanish National Health System hospitals during the study period; 986 (0.42%) episodes were excluded, resulting in a final study population of 233,173 episodes. Mean age was 83.7 (±7) years and 179,949 (77.2%) were women (p < 0.001). In the sample, 13,417 (5.8%) episodes had a main or secondary diagnosis of heart failure (HF) (p < 0.001). HF patients had a mean age of 86.1 (±6.3) years, significantly older than the rest (p < 0.001). All the major complications studied showed a higher incidence in patients with HF (p < 0.001). Unadjusted in-hospital mortality was 4.1%, which was significantly higher in patients with HF (18.2%) compared to those without HF (3.3%) (p < 0.001). The average length of stay (LOS) was 11.9 (±9.1) and was also significantly higher in the group with HF (16.5 ± 13.1 vs. 11.6 ± 8.7; p < 0.001). CONCLUSIONS: Patients with HF undergoing FNF surgery have longer length of stay and higher rates of both major complications and mortality than those without HF. Although their average length of stay has decreased in the last few years, their mortality rate has remained unchanged.

Heart Failure Is a Poor Prognosis Risk Factor in Patients Undergoing Cholecystectomy: Results from a Spanish Data-Based Analysis.

BACKGROUND: The incidence of cholecystectomy is increasing as the result of the aging worldwide. Our aim was to determine the influence of heart failure on in-hospital outcomes in patients undergoing cholecystectomy in the Spanish National Health System (SNHS). METHODS: We conducted a retrospective study using the Spanish National Hospital Discharge Database. Patients older than 17 years undergoing cholecystectomy in the period 2007-2015 were included. Demographic and administrative variables related to patients' diseases as well as procedures were collected. RESULTS: 478,111 episodes of cholecystectomy were identified according to the data from SNHS hospitals in the period evaluated. From all the episodes, 3357 (0.7%) were excluded, as the result the sample was represented by 474,754 episodes. Mean age was 58.3 (+16.5) years, and 287,734 (60.5%) were women (p < 0.001). A primary or secondary diagnosis of HF was identified in 4244 (0.89%) (p < 0.001) and mean age was 76.5 (+9.6) years. A higher incidence of all main complications studied was observed in the HF group (p < 0.001), except stroke (p = 0.753). Unadjusted in-hospital mortality was 1.1%, 12.9% in the group with HF versus 1% in the non HF group (p < 0.001). Average length of hospital stay was 5.4 (+8.9) days, and was higher in patients with HF (16.2 + 17.7 vs. 5.3 + 8.8; p < 0.001). Risk-adjusted in-hospital mortality models' discrimination was high in both cases, with AUROC values = 0.963 (0.960-0.965) in the APRG-DRG model and AUROC = 0.965 (0.962-0.968) in the CMS adapted model. Median odds ratio (MOR) was high (1.538 and 1.533, respectively), stating an important variability of risk-adjusted outcomes among hospitals. CONCLUSIONS: The presence of HF during admission increases in hospital mortality and lengthens the hospital stay in patients undergoing cholecystectomy. However, mortality and hospital stay have significantly decreased during the study period in both groups (HF and non HF patients).

RECALSEEN. Subgroup: Patient care in the clinical nutrition units of the Spanish National Health System.

INTRODUCTION: Artificial nutrition (AI) is one of the most representative examples of coordinated therapeutic programs, and therefore requires adequate development and organization. The first clinical nutrition units (CNUs) emerged in the public hospitals of the Spanish National Health System (NHS) in the 80s and have gradually been incorporated into the departments of endocrinology and nutrition (DENs). The purpose of our article is to report on the results found in the RECALSEEN study as regards the professional and organizational aspects relating to CNUs and their structure and operation. MATERIALS AND METHODS: Data were collected from the RECALSEEN study, a cross-sectional, descriptive study of the DENs in the Spanish NHS in 2016. The survey was compiled from March to September 2017. Qualitative variables were reported as frequency distributions (number of cases and percentages), and quantitative variables as the mean, median, and standard deviation (SD). RESULTS: A total of 88 (70%) DENs, out of a total of 125 general acute hospitals of the NHS with 200 or more installed beds, completed the survey. CNUs were available in 83% of DENs (98% in hospitals with 500 or more beds). As a median, DENs had one nurse dedicated to nutrition (35% did not have this resource). Fifty-three percent of DENs with nutrition units had dieticians integrated into the unit (median: 1). DENs located in hospitals with 500 or more beds are more complex and have a wide portfolio of monographic unit services (morbid obesity, 78.3%; artificial home nutrition, 87%; chronic diseases, 65.2%) and specific techniques (impedanciometry, 78%). However, only 14% of the centers perform universal screening tests for malnutrition, and a secondary diagnosis of malnutrition only appears in 12.3 reports per 1000 hospital discharges. DISCUSSION: After the 1997 and 2003 studies, the results of 2017 show a marked growth and consolidation of CNUs within the DENs in most hospitals. Today, the growth of this specialty is largely due to the care demand created by hospital clinical nutrition. CNUs still have an insufficient nursing staff and dietitians/nutritionists, and in the latter case, atypical contracts or grants funded by research projects or the pharmaceutical industry are common. Units for specific nutritional diseases and participation in multidisciplinary groups, quite heterogeneous, are concentrated in hospitals with 500 or more beds and represent an excellent opportunity for CNU development. CONCLUSIONS: Many DENs of Spanish hospitals include CNUs where care is provided by endocrinologists, who devote most of their time to clinical nutrition in more than half of the hospitals. This is most common in large centers with a high workload in relation to staffing. There is considerable heterogeneity between hospitals in terms of both the number and type of activity of the CNUs.

RECALSEEN. Subgroup: Patient care in the clinical nutrition units of the Spanish National Health System. / RECALSEEN. Subgrupo: la atención al paciente en las unidades de nutrición clínica del Sistema Nacional de Salud.

INTRODUCTION: Artificial nutrition (AI) is one of the most representative examples of coordinated therapeutic programs, and therefore requires adequate development and organization. The first clinical nutrition units (CNUs) emerged in the public hospitals of the Spanish National Health System (NHS) in the 80s and have gradually been incorporated into the departments of endocrinology and nutrition (DENs). The purpose of our article is to report on the results found in the RECALSEEN study as regards the professional and organizational aspects relating to CNUs and their structure and operation. MATERIALS AND METHODS: Data were collected from the RECALSEEN study, a cross-sectional, descriptive study of the DENs in the Spanish NHS in 2016. The survey was compiled from March to September 2017. Qualitative variables were reported as frequency distributions (number of cases and percentages), and quantitative variables as the mean, median, and standard deviation (SD). RESULTS: A total of 88 (70%) DENs, out of a total of 125 general acute hospitals of the NHS with 200 or more installed beds, completed the survey. CNUs were available in 83% of DENs (98% in hospitals with 500 or more beds). As a median, DENs had one nurse dedicated to nutrition (35% did not have this resource). Fifty-three percent of DENs with nutrition units had dieticians integrated into the unit (median: 1). DENs located in hospitals with 500 or more beds are more complex and have a wide portfolio of monographic unit services (morbid obesity, 78.3%; artificial home nutrition, 87%; chronic diseases, 65.2%) and specific techniques (impedanciometry, 78%). However, only 14% of the centers perform universal screening tests for malnutrition, and a secondary diagnosis of malnutrition only appears in 12.3 reports per 1000 hospital discharges. DISCUSSION: After the 1997 and 2003 studies, the results of 2017 show a marked growth and consolidation of CNUs within the DENs in most hospitals. Today, the growth of this specialty is largely due to the care demand created by hospital clinical nutrition. CNUs still have an insufficient nursing staff and dietitians/nutritionists, and in the latter case, atypical contracts or grants funded by research projects or the pharmaceutical industry are common. Units for specific nutritional diseases and participation in multidisciplinary groups, quite heterogeneous, are concentrated in hospitals with 500 or more beds and represent an excellent opportunity for CNU development. CONCLUSIONS: Many DENs of Spanish hospitals include CNUs where care is provided by endocrinologists, who devote most of their time to clinical nutrition in more than half of the hospitals. This is most common in large centers with a high workload in relation to staffing. There is considerable heterogeneity between hospitals in terms of both the number and type of activity of the CNUs.

Patient care in the Endocrinology and Nutrition Units of the National Health System. The RECALSEEN study. / RECALSEEN. La atención al paciente en las unidades de Endocrinología y Nutrición del Sistema Nacional de Salud.

OBJECTIVES: To elaborate a diagnosis of the situation regarding the assistance in the Services and Units of Endocrinology and Nutrition (S°EyN) of the National Health System of Spain (SNHS) and to develop, based on the results obtained, proposals for improvement policies in the S°EyN. MATERIAL AND METHODS: Cross-sectional descriptive study of the patients treated in the S°EyN departments of acute general hospitals of the SNHS in 2016. Data were obtained through RECALSEEN 2017, an "ad hoc" survey designed specifically for this purpose, and the Minimum Basic Data Set of discharges given by the S°EN of the SNHS (2015). RESULTS: 88 responses of S°EyN have been obtained forma total of 125 acute general hospitals of more than 200 beds installed in the SNHS (70% answers). 47% of the S°EyN respondents were services and 31% sections. The average of endocrinologists by S°EyN was 7.4±4.4, and the average rate of endocrinologists per 100,000 inhabitants was 2.3±1. The most relevant care activities were the consultation (average of 12.3 first consultations per thousand inhabitants and year), day hospital (median of 2,000 sessions/year) and in-hospital consultations (median of 900 in-hospital consultations/year). 83% of S°EyNhad a Clinical Nutrition Unit. The number of dietitians, nutrition technicians and nutritionists in the Clinical Nutrition Unit was low. In relation to quality management, a large margin for improvement was detected; only 35% of S°EyN had a responsible of quality and 38% had implemented process management for those most frequent processes in the unit. There were notable differences in structure, resources and activity of S°EyN between Autonomous Communities. CONCLUSIONS: RECALSEEN 2017 survey is a useful tool for the analysis of S°EyN. The remarkable variability found in the structure, activity and management indicators probably indicates significant differences and, therefore, a wide margin for improvement.

Trends on Diabetes Mellitus's healthcare management in Spain 2007-2015.

AIMS: To analyze the trends on diabetes mellitus (DM) healthcare management in Spain. METHODS: Retrospective observational study between January 1st 2007 and 31th December 2015 with DM as the principal diagnosis. The main clinical outcome measures were all-cause, in-hospital mortality and 30-day readmissions. We also analyze three Prevention Quality Indicators (PQI) for DM. RESULTS: The number of hospitalization episodes decreased significantly as well as the frequentation rate and average length of stay (Incidence Rate Ratio [IRR] = 0.963, p < 0.001; 0.91, p < 0.001 and 0.986, p < 0.001, respectively). Crude in-hospital mortality and readmissions rates and risk-standardized in-hospital mortality rates (RSMR), however, remained stable (IRR = 0.988, p = 0.073; IRR = 1.003, p = 0.334 and IRR = 0.997, p = 0.116, respectively). A relevant variability in RSMR, both at hospital (Median Odds Ratio 1.49) and regional level, was found. High volume hospitals (≥105 DM discharges at year) showed better outcomes. High variability was also found in PQI indicators al regional level. CONCLUSION: The present analysis shows an improvement in hospitalizations related to DM in Spain in the period 2007-2015. There was also a decrease in the frequentation rate and in the average length of stay. These findings are probably explained by quality improvements in the healthcare management of the DM at the ambulatory level. However, there were important differences in the management of diabetic inpatients both at the hospital and the regional level.

In-hospital Mortality and Readmissions for Heart Failure in Spain. A Study of Index Episodes and 30-Day and 1-year Cardiac Readmissions.

INTRODUCTION AND OBJECTIVES: Heart failure (HF) is a major health care problem in Spain. Epidemiological data from hospitalized patients are scarce and the association between hospital characteristics and patient outcomes is largely unknown. The aim of this study was to identify the factors associated with in-hospital mortality and readmissions and to analyze the relationship between hospital characteristics and outcomes. METHODS: A retrospective analysis of discharges with HF as the principal diagnosis at hospitals of the Spanish National Health System in 2012 was performed using the Minimum Basic Data Set. We calculated risk-standardized mortality rates (RSMR) at the index episode and risk-standardized cardiac diseases readmissions rates (RSRR) and in-hospital mortality at 30 days and 1 year after discharge by using a multivariate mixed model. RESULTS: We included 77 652 HF patients. Mean age was 79.2±9.9 years and 55.3% were women. In-hospital mortality during the index episode was 9.2%, rising to 14.5% throughout the year of follow-up. The 1-year cardiovascular readmissions rate was 32.6%. RSMR were lower among patients discharged from high-volume hospitals (> 340 HF discharges) (in-hospital RSMR, 10.3±5.6%; 8.6±2.2%); P <.001). High-volume hospitals had higher 1-year RSRR (32.3±3.7%; 33.7±4.5%; P=.006). The availability of a cardiology department at the hospital was associated with better outcomes (in-hospital RSMR, 9.9±3.8%; 9.2±2.4%; P <.001). CONCLUSIONS: High-volume hospitals and the availability of a cardiology department were associated with lower in-hospital mortality.

The RECALCAR Project. Healthcare in the Cardiology Units of the Spanish National Health System, 2011 to 2014.

The RECALCAR project (Spanish acronym for Resources and Quality in Cardiology Units) uses 2 data sources: a survey of cardiology units and an analysis of the Minimum Basic Data set of all hospital discharges of the Spanish National Health System. From 2011 to 2014, there was marked stability in all indicators of the availability, utilization, and productivity of cardiology units. There was significant variability between units and between the health services of the autonomous communities. There was poor implementation of process management (only 14% of the units) and scarce development of health care networks (17%). Structured cardiology units tended to have better results, in terms of both quality and efficiency. No significant differences were found between the different types of unit in the mean length of stay (5.5±1.1 days) or the ratio between successive and first consultations (2:1). The mean discharge rate was 5/1000 inhabitants/y and the mean rate of initial consultations was 16±4/1000 inhabitants/y. No duty or on-call cardiologist was available in 30% of cardiology units with 24 or more beds; of these, no critical care beds were available in 45%. Our findings support the recommendation to regionalize cardiology care and to promote the development of cardiology unit networks.

[Assessment of Three Risk Adjustment Systems as Predictors of the Consumption of Medicines and Medical Supplies at Polyvalent Hospitalization Units. Spain]. / Evaluación de tres sistemas de ajuste de riesgo como predictores del consumo de medicamentos y productos sanitarios en unidades polivalentes de hospitalización.

OBJECTIVE: The use of medicines and medical supplies is a significant component of health expenditure, linked to healthcare quality and efficient resource allocation. This study aimed to evaluate three risk adjustment systems predictive power of the consumption of medicines and medical supplies at polyvalent hospitalization units (PHU). METHODS: This is an observational, retrospective study of the resources utilization in PHU between 2010 and 2013. We fitted linear regression models and evaluated their goodness of fit for three different predictors: Charlson Comorbidity Index (CCI), All Patients DRG (AP-DRG) and All Patients Refined DRG (APR-DRG) relative weights, and each one of them corrected by the length of stay. We analyzed hospitalization episodes included in the Minimum Basic Data Set (MBDS) from Fuenlabrada University Hospital. Data about the use of medicines and medical supplies were obtained from pharmacy and supply chain management information systems. RESULTS: Significant correlation was found between the annual consumption and the predictors considered (r=0,879 for CCI; r=0,622 for AP-DRG and r=0,514 for APR-DRG). The CCI corrected by length of stay was the variable that best fit presented (R2=0,863). CONCLUSIONS: The best predictive ability of CCI indicates that resource utilization depends more of the concurrent presence of additional pathology than the case mix calculated for iso-resource groups.

OBJETIVO: El uso de medicamentos y productos sanitarios constituye un componente significativo del gasto sanitario, vinculado con la calidad de la atención y la asignación eficiente de los recursos. Este estudio tuvo por objetivo evaluar en tres sistemas de ajuste de riesgos la capacidad predictiva del consumo de medicamentos y productos sanitarios de los sujetos ingresados en unidades polivalentes de hospitalización. METODOS: Estudio de los consumos de las unidades polivalentes de hospitalización del Hospital de Fuenlabrada entre 2010 y 2013, utilizando información de las aplicaciones de farmacia y suministros y el Conjunto Mínimo de Datos Básicos. Se ajustaron modelos de regresión lineal para el índice de Comorbilidad de Charlson (ICH) y el peso medio de los Grupos Relacionados por el Diagnóstico All Patients (AP-GRD) y All Patiens Refined (APR_GRD), cada uno de ellos corregidos por el número de estancias. RESULTADOS: Se comprobó la existencia de correlación estadísticamente significativa entre los consumos anuales y los predictores considerados (los coeficientes de Pearson fueron r=0,879 para ICH; r=0,622 para AP-GRD, y r=0,514 para APR-GRD). ICH corregido por el número de estancias fue la variable que mejor ajuste presentó para la trasformación logarítmica de los consumos (R2=0,863). CONCLUSIONES: La mayor capacidad predictiva del índice de comorbilidad de Charlson indica que el consumo de recursos depende más de la presencia concurrente de patología que de la complejidad de la casuística estimada para grupos isoconsumo, aun cuando se considere la gravedad o se corrija la complejidad resultante por la duración del episodio.