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Vicent L, Rosillo N, Moreno G, Salguero-Bodes R, Goñi C, Bernal JL, Seara G, Bueno H. Sex differences in patterns of referral and resource utilization in the cardiology clinic: an outpatient analysis. Front Cardiovasc Med 2023; 10:1202960. [PMID: 37588036 PMCID: PMC10425536 DOI: 10.3389/fcvm.2023.1202960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 07/13/2023] [Indexed: 08/18/2023] Open
Abstract
Aims Women may have different management patterns than men in specialised care. Our aim was to assess potential sex differences in referral, management and outcomes of patients attending outpatient cardiac consultations. Methods and results Retrospective observational analysis of patients ≥18 years referred for the first time from primary care to a tertiary hospital cardiology clinic in 2017-2018, comparing reasons for referral, decisions and post-visit outcomes by sex.A total of 5,974 patients, 2,452 (41.0%) men aged 59.2 ± 18.6 years and 3,522 (59.0%) women aged 64.5 ± 17.9 years (P < 0.001) were referred for a first cardiology consultation. The age-related referral rates were higher in women. The most common reasons for consultation were palpitations in women (n = 676; 19.2%) and ECG abnormalities in men (n = 570; 23.2%). Delays to cardiology visits and additional tests were similar. During 24 months of follow-up, women had fewer cardiology hospitalisations (204; 5.8% vs. 229; 9.3%; P = 0.003) and lower mortality (65; 1.8% vs. 66; 2.7%; P = 0.028), but those aged <65 years had more emergency department visits (756; 48.5% vs. 560; 39.9%, P < 0.001) than men. Conclusion There are substantial sex differences in primary care cardiology referral patterns, including causes, rates, decisions and outcomes, which are only partially explained by age differences. Further research is needed to understand the reasons for these differences.
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Affiliation(s)
- Lourdes Vicent
- Cardiology Department, Hospital Universitario 12 de Octubre, Madrid, Spain
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain
- CIBER de enfermedades CardioVasculares (CIBERCV), Madrid, Spain
| | - Nicolás Rosillo
- Cardiology Department, Hospital Universitario 12 de Octubre, Madrid, Spain
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain
- Department of Preventive Medicine, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Guillermo Moreno
- Cardiology Department, Hospital Universitario 12 de Octubre, Madrid, Spain
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain
- Facultad de Enfermería, Fisioterapia y Podología, Universidad Complutense de Madrid, Spain
| | - Rafael Salguero-Bodes
- Cardiology Department, Hospital Universitario 12 de Octubre, Madrid, Spain
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain
- Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Clara Goñi
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain
| | - José Luis Bernal
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain
- Control Management Department, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Germán Seara
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain
| | - Héctor Bueno
- Cardiology Department, Hospital Universitario 12 de Octubre, Madrid, Spain
- Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain
- CIBER de enfermedades CardioVasculares (CIBERCV), Madrid, Spain
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
- Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
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Pinar Manzanet JM, Fico G, Merino‐Barbancho B, Hernández L, Vera‐Muñoz C, Seara G, Torrego M, Gonzalez H, Wastesson J, Fastbom J, Mayol J, Johnell K, Gómez‐Gascón T, Arredondo MT. Feasibility study of a clinical decision support system for polymedicated patients in primary care. Healthc Technol Lett 2023; 10:62-72. [PMID: 37265836 PMCID: PMC10230557 DOI: 10.1049/htl2.12046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 03/30/2023] [Accepted: 04/18/2023] [Indexed: 06/03/2023] Open
Abstract
Age-related changes in pharmacokinetics and pharmacodynamics, multimorbidity, frailty, and cognitive impairment represent challenges for drug treatments. Moreover, older adults are commonly exposed to polypharmacy, leading to increased risk of drug interactions and related adverse events, and higher costs for the healthcare systems. Thus, the complex task of prescribing medications to older polymedicated patients encourages the use of Clinical Decision Support Systems (CDSS). This paper evaluates the CDSS miniQ for identifying potentially inappropriate prescribing in poly-medicated older adults and assesses the usability and acceptability of the system in health care professionals, patients, and caregivers. The results of the study demonstrate that the miniQ system was useful for Primary Care physicians in significantly improving prescription, thereby reducing potentially inappropriate medication prescriptions for elderly patients. Additionally, the system was found to be beneficial for patients and their caregivers in understanding their medications, as well as usable and acceptable among healthcare professionals, patients, and caregivers, highlighting the potential to improve the prescription process and reduce errors, and enhancing the quality of care for elderly patients with polypharmacy, reducing adverse drug events, and improving medication management.
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Affiliation(s)
- Juan Manuel Pinar Manzanet
- Doctorando en Epidemiología y Salud Pública. Universidad Rey Juan Carlos. Madrid. Centro de Salud Miguel ServetMadridSpain
| | - Giuseppe Fico
- Universidad Politécnica de Madrid, Life Supporting Technologies Research GroupMadridSpain
| | | | - Liss Hernández
- Universidad Politécnica de Madrid, Life Supporting Technologies Research GroupMadridSpain
| | - Cecilia Vera‐Muñoz
- Universidad Politécnica de Madrid, Life Supporting Technologies Research GroupMadridSpain
| | - Germán Seara
- Unidad de Innovación, Hospital Clínico San Carlos, Fundación para la Investigación BiomédicaMadridSpain
| | - Macarena Torrego
- Unidad de Innovación, Hospital Clínico San Carlos, Fundación para la Investigación BiomédicaMadridSpain
| | - Henar Gonzalez
- Unidad de Innovación, Hospital Clínico San Carlos, Fundación para la Investigación BiomédicaMadridSpain
| | - Jonas Wastesson
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
- Aging Research CenterKarolinska InstitutetSolnaSweden
| | - Johan Fastbom
- Aging Research CenterKarolinska InstitutetSolnaSweden
| | - Julio Mayol
- Unidad de Innovación, Hospital Clínico San Carlos, Fundación para la Investigación BiomédicaMadridSpain
| | - Kristina Johnell
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Tomás Gómez‐Gascón
- Fundación para la Investigación e Innovación Biosanitaria de Atención PrimariaInstituto de Investigación Sanitaria Hospital 12 de Octubre (imas12)MadridSpain
| | - María Teresa Arredondo
- Universidad Politécnica de Madrid, Life Supporting Technologies Research GroupMadridSpain
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López de Lara D, Ruiz-Sánchez JG, Cuesta M, Seara G, Calle-Pascual AL, Rubio Herrera MÁ, Runkle I, Verbalis JG. Exercise-Induced Hyponatremia: An Assessment of the International Hydration Recommendations Followed During the Gran Trail De Peñalara and Vitoria-Gasteiz Ironman Competitions. Front Nutr 2022; 8:781229. [PMID: 35265650 PMCID: PMC8898836 DOI: 10.3389/fnut.2021.781229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 12/06/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction Hyponatremia often occurs during the practice of endurance sports. We evaluated the impact on hyponatremia of the hydration recommendations of the Third International Exercise-Associated Hyponatremia Consensus Development Conference 2015 (3IE-AHCD) during the 2017 Gran Trail de Peñalara marathon (GTP) and the Vitoria Gasteiz Ironman triathlon (VGI). Methods Prospective study of GTP and VGI athletes participating in four information sessions in the months prior to the events, to explain that hydration should only be according to their level of thirst, per the recommendations of the 3IE-AHCD. Consenting event finishers were included in final analysis. Pre- and post-race anthropometric and biochemical parameters were compared. Results Thirty-six GTP (33 male) and 94 VGI (88 male) finishers were evaluated. GTP race median fluid intake was 800 ml/h, with 900 ml/h in the VGI race. 83.3% GTPfin and 77.6% VGIfin remained eunatremic (blood sodium 135–145 mmol/L). Only 1/36 GTP and 1/94 VGI participant finished in hyponatremia, both with a sodium level of 134 mmol/L. Fourteen percent of GTP, and 21.2% of VGI participants finished in hypernatremia, with no increase in race completion times. No participating athlete required medical attention, except for musculoskeletal complaints. Pro-BNP and Copeptin levels rose significantly. Changes in copeptin levels did not correlate with changes in plasma osmolality, nor total body water content in impedance analysis. Conclusions Recommending that athletes' fluid intake in endurance events be a function of their thirst almost entirely prevented development of hyponatremia, without induction of clinically significant hypernatremia, or a negative repercussion on race completion times.
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Affiliation(s)
- Diego López de Lara
- Endocrinología Pediátrica, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria Biomédica San Carlos (IdISSC), Madrid, Spain
| | - Jorge Gabriel Ruiz-Sánchez
- Endocrinología y Nutrición, Hospital Universitario Fundación Jiménez Díaz, Instituto de Investigación Sanitaria Biomédica San Carlos (IdISSC), Madrid, Spain
| | - Martín Cuesta
- Endocrinología y Nutrición, Hospital Universitario Fundación Jiménez Díaz, Instituto de Investigación Sanitaria Biomédica San Carlos (IdISSC), Madrid, Spain
| | - Germán Seara
- Hospital Clínico San Carlos, Instituto de Investigación Sanitaria Biomédica San Carlos (IdISSC), Madrid, Spain
| | - Alfonso Luis Calle-Pascual
- Endocrinología y Nutrición, Hospital Universitario Fundación Jiménez Díaz, Instituto de Investigación Sanitaria Biomédica San Carlos (IdISSC), Madrid, Spain
| | - Miguel Ángel Rubio Herrera
- Endocrinología y Nutrición, Hospital Universitario Fundación Jiménez Díaz, Instituto de Investigación Sanitaria Biomédica San Carlos (IdISSC), Madrid, Spain
| | - Isabelle Runkle
- Endocrinología y Nutrición, Hospital Universitario Fundación Jiménez Díaz, Instituto de Investigación Sanitaria Biomédica San Carlos (IdISSC), Madrid, Spain
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Toscano ER, Reneses B, Pérez S, Andrés P, Seara G, Sevilla J, Cortés A, Del Rey-Mejías Á. Analysis of a clinical process of schizophrenia and other psychoses with a process mining method. Eur Psychiatry 2021. [PMCID: PMC9476061 DOI: 10.1192/j.eurpsy.2021.1071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction Clinical pathways (CPWs) are tools used to guide evidence-based healthcare. They translate clinical practice guideline recommendations into clinical processes of care within the characteristics of a healthcare institution. There are few studies about the impact of CPW in the field of Psychosis in terms of adequacy to their recommendations and clinical outcomes. Objectives PSYCHSTAGE project has been designed to study the adjustment of psychosis clinical care to a CPW based in a Clinical Practice Guideline according to a clinical staging model in a network of psychiatric services covering 580.000 inhabitants in a University Hospital in Madrid. Methods Retrospective and observational study in a sample of 1780 subjects 18 years old or above, diagnosed with schizophrenia and other psychosis. Socio-demographic and clinical variables were collected from clinical records, including ICG, GAF and DAS at the time they were included in the study. Clinical stage was established according to McGorry model at the same time. CPW was analysed in 1,391 subjects with 15,254 care events using a Process mining method. Process discovery, process checking and process enhancement analysis have been used. Results Patients were grouped according the clinical stage. 9,2% were in stage 2; 18,5% in 3a; 47% in 3b; 22,1% in 3c and 4,1% in 4. A different CPW is represented for each clinical stage in routine practice. Then, every pathway is compared with the recommendations in the established Psychosis CPW. Conclusions Process mining can be a useful tool for the study of CPW in the field of psychosis
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Abstract
IntroductionMental disorders are a major cause of disability in Europe [1]. However, organizational structures and information systems are focused on delivery of care, rather than providing value [2]. In the digital era, we have the capacity to change priorities through the analysis of heterogeneous databases that could support patients’ and professionals’ decisions.Objectivesto analyse the contradictions between the design and the theoretical structure of mental health services and the possibilities to evaluate the actual value of the delivered care.AimsTo reflect on changing the trend using a different conceptualization of objectives and evaluating methods.MethodsWe used a tool provided to clinicians by the Madrid's Regional Health Service SERMAS (‘ConsultaWeb’) combining primary care, pharmacy and hospital data (n = 395,073 patients for the catchment area), and a set of hospital-based data (patients attended by psychiatrists at the ER, n = 13,877, and patients admitted to the Psychiatric Inpatient unit n = 3318), to explore some of the present professional information resources.ResultsCurrently used healthcare databases only describe the diagnostic or therapeutic categories of patients and might be used to detect abnormal behaviours. However, they are neither able to show the functional status of patients nor designed to predict their clinical course.ConclusionsA clearer definition of value in patient outcomes is needed. This might help to organize the healthcare delivery and to create a new information system that would allow to asses health outcomes.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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Casado de Frías EC, Seara G, Ruibal JL, Reverte F, Martínez JJ, Vicens-Calvet E, Gussinye Canadell M, Sarría A, González I, Bueno B. [The diabetic child. Round table]. An Esp Pediatr 1987; 27 Suppl 29:1-14. [PMID: 3126687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- E C Casado de Frías
- Departamento de Pediatría, Hospital de San Carlos, Universidad Complutense, Madrid
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Casado de Frías E, Reverte F, Seara G, Vara MT. [Diabetes mellitus]. An Esp Pediatr 1983; 19 Suppl 18:127-32. [PMID: 6359991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Some of the most outstanding features of Juvenile Diabetes Mellitus in adolescence are revised in this paper and have been established in a group of 38 affected children controlled in the Department in the past years. The relationship between determined epidemiologic and etiopathogenic factors, as the age in which the disease appears, the sex or the presence of concrete HLA antigens with the clinical expression, evolution and prognosis of the Diabetes Mellitus is underlined. Likewise, some problems about acceptance of the disease, fulfillment of the diet or the self-control that are usually manifested during adolescence are commented.
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