Primary care indicators for disease burden, monitoring and surveillance of COVID-19 in 31 European countries: Eurodata Study.

BACKGROUND: During the COVID-19 pandemic, the majority of patients received ambulatory treatment, highlighting the importance of primary health care (PHC). However, there is limited knowledge regarding PHC workload in Europe during this period. The utilization of COVID-19 PHC indicators could facilitate the efficient monitoring and coordination of the pandemic response. The objective of this study is to describe PHC indicators for disease surveillance and monitoring of COVID-19's impact in Europe. METHODS: Descriptive, cross-sectional study employing data obtained through a semi-structured ad hoc questionnaire, which was collectively agreed upon by all participants. The study encompasses PHC settings in 31 European countries from March 2020 to August 2021. Key-informants from each country answered the questionnaire. Main outcome: the identification of any indicator used to describe PHC COVID-19 activity. RESULTS: Out of the 31 countries surveyed, data on PHC information were obtained from 14. The principal indicators were: total number of cases within PHC (Belarus, Cyprus, Italy, Romania and Spain), number of follow-up cases (Croatia, Cyprus, Finland, Spain and Turkey), GP's COVID-19 tests referrals (Poland), proportion of COVID-19 cases among respiratory illnesses consultations (Norway and France), sick leaves issued by GPs (Romania and Spain) and examination and complementary tests (Cyprus). All COVID-19 cases were attended in PHC in Belarus and Italy. CONCLUSIONS: The COVID-19 pandemic exposes a crucial deficiency in preparedness for infectious diseases in European health systems highlighting the inconsistent recording of indicators within PHC organizations. PHC standardized indicators and public data accessibility are urgently needed, conforming the foundation for an effective European-level health services response framework against future pandemics.

Open data for monitoring COVID-19 in Spain: Descriptive study.

BACKGROUND: The indicators of the pandemic have been based on the total number of diagnosed cases of COVID-19, the number of people hospitalized or in intensive care units, and deaths from the infection. The aim of this study is to describe the available data on diagnostic tests, health service used for the diagnosis of COVID-19, case detection and monitoring. METHOD: Descriptive study with review of official data available on the websites of the Spanish health councils corresponding to 17 Autonomous Communities, 2 Autonomous cities and the Ministry of Health. The variables collected refer to contact tracing, technics for diagnosis, use of health services and follow-up. RESULTS: All regions of Spain show data on diagnosed cases of COVID-19 and deaths. Hospitalized cases and intensive care admissions are shown in all regions except the Balearic Islands. Diagnostic tests for COVID-19 have been registered in all regions except Madrid region and Extremadura, with scarcely information on what type of test has been performed (present in 7 CCAA), requesting service and study of contacts. CONCLUSIONS: The information available on the official websites of the Health Departments of the different regions of Spain are heterogeneous. Data from the use of health service or workload in Primary Care, Emergency department or Out of hours services are almost non-existent.

The role of primary health care in long-term care facilities during the COVID-19 pandemic in 30 European countries: a retrospective descriptive study (Eurodata study).

BACKGROUND AND AIM: Primary health care (PHC) supported long-term care facilities (LTCFs) in attending COVID-19 patients. The aim of this study is to describe the role of PHC in LTCFs in Europe during the early phase of the pandemic. METHODS: Retrospective descriptive study from 30 European countries using data from September 2020 collected with an ad hoc semi-structured questionnaire. Related variables are SARS-CoV-2 testing, contact tracing, follow-up, additional testing, and patient care. RESULTS: Twenty-six out of the 30 European countries had PHC involvement in LTCFs during the COVID-19 pandemic. PHC participated in initial medical care in 22 countries, while, in 15, PHC was responsible for SARS-CoV-2 test along with other institutions. Supervision of individuals in isolation was carried out mostly by LTCF staff, but physical examination or symptom's follow-up was performed mainly by PHC. CONCLUSION: PHC has participated in COVID-19 pandemic assistance in LTCFs in coordination with LTCF staff, public health officers, and hospitals.

Clinical pathway of COVID-19 patients in primary health care in 30 European countries: Eurodata study.

BACKGROUND: Most COVID-19 patients were treated in primary health care (PHC) in Europe. OBJECTIVES: To demonstrate the scope of PHC workflow during the COVID-19 pandemic emphasising similarities and differences of patient's clinical pathways in Europe. METHODS: Descriptive, cross-sectional study with data acquired through a semi-structured questionnaire in PHC in 30 European countries, created ad hoc and agreed upon among all researchers who participated in the study. GPs from each country answered the approved questionnaire. Main variable: PHC COVID-19 acute clinical pathway. All variables were collected from each country as of September 2020. RESULTS: COVID-19 clinics in PHC facilities were organised in 8/30. Case detection and testing were performed in PHC in 27/30 countries. RT-PCR and lateral flow tests were performed in PHC in 23/30, free of charge with a medical prescription. Contact tracing was performed mainly by public health authorities. Mandatory isolation ranged from 5 to 14 days. Sick leave certification was given exclusively by GPs in 21/30 countries. Patient hotels or other resources to isolate patients were available in 12/30. Follow-up to monitor the symptoms and/or new complementary tests was made mainly by phone call (27/30). Chest X-ray and phlebotomy were performed in PHC in 18/30 and 23/30 countries, respectively. Oxygen and low-molecular-weight heparin were available in PHC (21/30). CONCLUSION: In Europe PHC participated in many steps to diagnose, treat and monitor COVID-19 patients. Differences among countries might be addressed at European level for the management of future pandemics.

Seguimiento de los pacientes con cardiopatía isquémica en Atención Primaria durante la pandemia por COVID-19 / Coronary heart disease follow-up in a Primary Health Care centre during the COVID-19 pandemic

Objetivo: describir el seguimiento de los factores de riesgo cardiovascular modificables (FRCM) de los pacientes con cardiopatía isquémica (CI) en un centro de salud durante el primer año la pandemia por COVID-19. Material y métodos: estudio observacional ambispectivo de un centro de salud de Madrid.Participantes: pacientes diagnosticados de CI antes de 2020, > 45 años (n: 257).Seguimiento: del 13/03/2020 al 13/03/2021.Variables: sociodemográficas, comorbilidades, análisis de sangre (AS), colesterol asociado a lipoproteínas de baja densidad (c-LDL), exploración física (tensión arterial [TA] e índice de masa corporal [IMC]), eventos cardiovasculares (ECV) y fallecimiento en el seguimiento.Se realizó en tres períodos: situación basal: registro previo al inicio de la pandemia; primer período: del 13/03/2020 al 13/09/2020; segundo período: del 14/09/2020 al 13/03/2021. Datos obtenidos de la historia clínica electrónica. Análisis: STATA16.Resultados: se hizo el seguimiento de 257 pacientes (edad: 73,14 ± 0,7; 67,3% hombres) diagnosticados de CI hace 7 años (rango intercuartílico [RIC]: 4-14). AS (al 65,6% de los pacientes se les hizo análisis en el primer período versus al 20,6% en el segundo período del estudio), TA (57,5% versus 18,6%) e IMC (29,5% versus 7,7%). Mejoraron el c-LDL hasta 2,2 mg/dL, y el IMC, 0,6 kg/m2. Empeoró la TA sistólica hasta 6,3 mmHg y la diastólica 2,5 mmHg. Un 7,7% sufrió un ECV en el primer período y un 5,8% en el segundo. Fallecieron 9 pacientes durante el seguimiento.Conclusión: casi dos tercios de los pacientes con CI habían realizado seguimiento de LDL y TA en los 6 primeros meses tras el inicio de la pandemia. El número de seguimientos caía a 1/3 al año. El IMC fue la variable menos evaluada.(AU)

Aim: to report the follow up of modifiable cardiovascular risk factors (CVRF) of patients with ischaemic heart disease in a health centre during the first year of the COVID-19 pandemic.Materials and Methods: observational follow-up study of an ambispective cohort in a Madrid health centre. Subjects: patients with CHD prior to 2020, > 45 years (n:257). Follow up: from 13/03/2020 to 13/03/2021. Variables: sociodemographic, comorbidities, blood test (BT) (LDL-c), physical examination, (blood pressure [BP] and BMI), cardiovascular events (CVE), and death during follow up. Performed over three periods: baseline period: data before the pandemic commenced. First period: 13/03/2020-13/09/2020. Second period: 14/09/2020-13/03/2021. Data collection: electronic medical record. Analysis: STATA16.Results: a total of 257 patients with CHD was followed up (age: 73.14±0.7; 67.3% male). CHD diagnosis seven years ago (IQR:4-14). BT in 65.6% of patients in the first time period vs 20.6% in the second time period, BP 57.5% vs 18.6% and BMI 29.5% vs 7.7%. LDL-c and BMI improved during follow up to 2.2 mg/dL and 0.6 kg/m2, respectively. Systolic and diastolic BP worsened up to 6.3 mmHg and 2.5 mmHg, respectively. A total of 7.7% and 5.8% suffered a CVE in the first and second time periods, respectively. In all nine patients died during follow up.Conclusion: virtually two thirds of patients with CHD had undertaken LDL-c and BP follow up in the six months since the COVID-19 pandemic started. This number decreased to one third over the year. BMI was the least evaluated variable.(AU)

Datos abiertos de monitorización de la COVID-19 en España: estudio descriptivo / Open data for monitoring COVID-19 in Spain: Descriptive study

Objetivo: Los indicadores del estado de pandemia se han basado en el número total de casos diagnosticados de la COVID-19, el número de personas hospitalizadas o en unidades de cuidados intensivos y los fallecimientos por la infección. El objetivo de este estudio es describir los datos disponibles sobre pruebas diagnósticas, servicio sanitario utilizado para el diagnóstico de COVID-19 y seguimiento/detección de casos. Método: Estudio descriptivo con revisión de datos oficiales disponibles en las páginas web de las consejerías de sanidad de España correspondientes a 17 comunidades autónomas, 2 ciudades autónomas y el Ministerio de Sanidad. Las variables recogidas hacen referencia al estudio de contactos, diagnóstico de casos, uso de servicios sanitarios y seguimiento. Resultados: Todas las regiones de España muestran datos de los casos diagnosticados de COVID-19 y fallecidos. Los casos hospitalizados e ingresos en cuidados intensivos se muestran en todas las regiones excepto Baleares. Las pruebas diagnósticas de COVID-19 se han registrado en todas las regiones excepto en la Comunidad de Madrid y en Extremadura, habiendo poca información sobre qué tipo de prueba se ha realizado (presente en 7 comunidades autónomas), servicio peticionario y estudio de contactos. Conclusiones: La información disponible en las páginas web oficiales de las consejerías de sanidad de las diferentes regiones de España son heterogéneas. Los datos sobre el uso o carga laboral a nivel de atención primaria o servicios de urgencias hospitalarios y extrahospitalarios son cuasi inexistentes.(AU)

Background: The indicators of the pandemic have been based on the total number of diagnosed cases of COVID-19, the number of people hospitalized or in intensive care units, and deaths from the infection. The aim of this study is to describe the available data on diagnostic tests, health service used for the diagnosis of COVID-19, case detection and monitoring. Method: Descriptive study with review of official data available on the websites of the Spanish health councils corresponding to 17 Autonomous Communities, 2 Autonomous cities and the Ministry of Health. The variables collected refer to contact tracing, technics for diagnosis, use of health services and follow-up. Results: All regions of Spain show data on diagnosed cases of COVID-19 and deaths. Hospitalized cases and intensive care admissions are shown in all regions except the Balearic Islands. Diagnostic tests for COVID-19 have been registered in all regions except Madrid region and Extremadura, with scarcely information on what type of test has been performed (present in 7 Autonomous Communities), requesting service and study of contacts. Conclusions: The information available on the official websites of the Health Departments of the different regions of Spain are heterogeneous. Data from the use of health service or workload in primary care, emergency department or out of hours services are almost non-existent.(AU)

12-year evolution of multimorbidity patterns among older adults based on Hidden Markov Models.

BACKGROUND: The evolution of multimorbidity patterns during aging is still an under-researched area. We lack evidence concerning the time spent by older adults within one same multimorbidity pattern, and their transitional probability across different patterns when further chronic diseases arise. The aim of this study is to fill this gap by exploring multimorbidity patterns across decades of age in older adults, and longitudinal dynamics among these patterns. METHODS: Longitudinal study based on the Swedish National study on Aging and Care in Kungsholmen (SNAC-K) on adults ≥60 years (N=3,363). Hidden Markov Models were applied to model the temporal evolution of both multimorbidity patterns and individuals' transitions over a 12-year follow-up. FINDINGS: Within the study population (mean age 76.1 years, 66.6% female), 87.2% had ≥2 chronic conditions at baseline. Four longitudinal multimorbidity patterns were identified for each decade. Individuals in all decades showed the shortest permanence time in an Unspecific pattern lacking any overrepresented diseases (range: 4.6-10.9 years), but the pattern with the longest permanence time varied by age. Sexagenarians remained longest in the Psychiatric-endocrine and sensorial pattern (15.4 years); septuagenarians in the Neuro-vascular and skin-sensorial pattern (11.0 years); and octogenarians and beyond in the Neuro-sensorial pattern (8.9 years). Transition probabilities varied across decades, sexagenarians showing the highest levels of stability. INTERPRETATION: Our findings highlight the dynamism and heterogeneity underlying multimorbidity by quantifying the varying permanence times and transition probabilities across patterns in different decades. With increasing age, older adults experience decreasing stability and progressively shorter permanence time within one same multimorbidity pattern.

[Open data for monitoring COVID-19 in Spain: descriptive study]. / Datos abiertos de monitorización de la COVID-19 en España: estudio descriptivo.

BACKGROUND: The indicators of the pandemic have been based on the total number of diagnosed cases of COVID-19, the number of people hospitalized or in intensive care units, and deaths from the infection. The aim of this study is to describe the available data on diagnostic tests, health service used for the diagnosis of COVID-19, case detection and monitoring. METHOD: Descriptive study with review of official data available on the websites of the Spanish health councils corresponding to 17 Autonomous Communities, 2 Autonomous cities and the Ministry of Health. The variables collected refer to contact tracing, technics for diagnosis, use of health services and follow-up. RESULTS: all regions of Spain show data on diagnosed cases of COVID-19 and deaths. Hospitalized cases and intensive care admissions are shown in all regions except the Balearic Islands. Diagnostic tests for COVID-19 have been registered in all regions except Madrid region and Extremadura, with scarcely information on what type of test has been performed (present in 7 CCAA), requesting service and study of contacts. CONCLUSIONS: The information available on the official websites of the Health Departments of the different regions of Spain are heterogeneous. Data from the use of health service or workload in Primary Care, Emergency department or Out of hours services are almost non-existent.

Uso de aplicaciones móviles y páginas web para el diagnóstico de la COVID-19 en España / Using mobile applications and websites for the diagnosis of COVID-19 in Spain

Introducción: Ante la pandemia por la COVID-19 son necesarias nuevas herramientas de trabajo a nivel sanitario para la evaluación precoz de las personas sospechosas de haber sido infectadas. La tecnología de la información y comunicación (TIC) puede dar solución a este nuevo escenario. El objetivo de este estudio es conocer qué TIC hay en España. Métodos: Revisión de la TIC (aplicaciones móviles y páginas web) de las comunidades autónomas de España, listando las características recogidas de cada una de ellas. Resultados: Se han analizado seis aplicaciones móviles correspondientes a cinco comunidades autónomas y una del Ministerio de Sanidad, además de cuatro test en páginas web de la Consejería de Salud de la comunidad autónoma correspondiente. De las TIC observadas, existen muchas diferencias entre ellas, tanto en la información recogida como en los recursos dedicados al ciudadano. Si bien todas ellas preguntan por la tríada clásica de síntomas COVID-19: fiebre, tos y disnea. Conclusiones: A pesar de tener un órgano organizador común en la crisis de la COVID-19 en España, el Ministerio de Sanidad, se han observado diferentes métodos de aplicación en la tecnología de la información y comunicación en los territorios autonómicos de España.(AU)

Introduction: New tools are needed for early evaluation of patients who could be infected by COVID-19 during this pandemic. M-Health (apps) could be a solution in this setting to evaluate a COVID-19 diagnosis. The aim of this study was to describe which COVID-19s apps are available in Spain. Methods: We made a review of the diagnosis apps and websites of the different regions of Spain. We described the different characteristics of each app. Results: We analyzed 6 apps, 5 corresponding to Autonomous Communities and one from the Ministry of Health, as well as 4 website test from the respectively health region. There were detected multiples differences between the m-Health methods analysed from the information collected to the information shared to citizens. However, all m-Health methods asked about the classic triad symptoms: fever, cough and dyspnoea. Conclusion: Although the COVID-19 Spanish crisis have been lead from the Ministry of Health, it has been detected different methods to apply m-Health though the multiple Spanish regions.(AU)

SARS-CoV-2 pneumonia follow-up and long COVID in primary care: A retrospective observational study in Madrid city.

BACKGROUND: Patients with COVID-19 are follow-up in primary care and long COVID is scarcely defined. The study aim was to describe SARS-CoV-2 pneumonia and cut-offs for defining long COVID in primary care follow-up patients. METHODS: A retrospective observational study in primary care in Madrid, Spain, was conducted. Data was collected during 6 months (April to September) in 2020, during COVID-19 first wave, from patients ≥ 18 years with SARS-CoV-2 pneumonia diagnosed. Variables: sociodemographic, comorbidities, COVID-19 symptoms and complications, laboratory test and chest X-ray. Descriptive statistics were used, mean (standard deviation (SD)) and medians (interquartile range (IQR)) respectively. Differences were detected applying X2 test, Student's T-test, ANOVA, Wilcoxon-Mann-Whitney or Kruskal-Wallis depending on variable characteristics. RESULTS: 155 patients presented pneumonia in day 7.8 from the onset (79.4% were hospitalized, median length of 7.0 days (IQR: 3.0, 13.0)). After discharge, the follow-up lasted 54.0 median days (IQR 42.0, 88.0) and 12.2 mean (SD 6.4) phone calls were registered per patient. The main symptoms and their duration were: cough (41.9%, 12 days), dyspnoea (31.0%, 15 days), asthenia (26.5%, 21 days). Different cut-off points were applied for long COVID and week 4 was considered the best milestone (28.3% of the sample still had symptoms after week 4) versus week 12 (8.3%). Patients who still had symptoms >4 weeks follow-up took place over 81.0 days (IQR: 50.5, 103.0), their symptoms were more prevalent and lasted longer than those ≤ 4 weeks: cough (63.6% 30 days), dyspnoea (54.6%, 46 days), and asthenia (56.8%, 29 days). Embolism was more frequent in patients who still had symptoms >4 weeks than those with symptoms ≤4 weeks (9.1% vs 1.8%, p value 0.034). CONCLUSION: Most patients with SARS-CoV-2 pneumonia recovered during the first 4 weeks from the beginning of the infection. The cut-off point to define long COVID, as persisting symptoms, should be between 4 to 12 weeks from the onset of the symptoms.

Using mobile applications and websites for the diagnosis of COVID-19 in Spain.

INTRODUCTION: New tools are needed for early evaluation of patients who could be infected by COVID-19 during this pandemic. M-Health (apps) could be a solution in this setting to evaluate a COVID-19 diagnosis. The aim of this study was to describe which COVID-19s apps are available in Spain. METHODS: We made a review of the diagnosis apps and websites of the different regions of Spain. We described the different characteristics of each app. RESULTS: We analyzed 6 apps, 5 corresponding to Autonomous Communities and one from the Ministry of Health, as well as 4 website test from the respectively health region. There were detected multiples differences between the m-Health methods analysed from the information collected to the information shared to citizens. However, all m-Health methods asked about the classic triad symptoms: fever, cough and dyspnoea. CONCLUSION: Although the COVID-19 Spanish crisis have been lead from the Ministry of Health, it has been detected different methods to apply m-Health though the multiple Spanish regions.

Clinical characteristics of SARS-CoV-2 pneumonia diagnosed in a primary care practice in Madrid (Spain).

BACKGROUND: Possible cases of SARS-CoV-2 infection were diagnosed in primary care in Madrid, some of these cases had pneumonia. Most of the SARS-CoV-2 pneumonia published data came from hospitalised patients. This study set out to describe clinical characteristics of patients with SARS-CoV-2 pneumonia diagnosed in primary care across age groups and type of pneumonia. METHODS: Observational retrospective study obtaining clinical data from the electronic health records of patients who were followed-up by SARS-CoV-2 possible infection in a primary care practice in Madrid. All the cases were collected by in-person or remote consultation during the 10th March to the 7th of April. EXPOSURE: Diagnosis of SARS-CoV-2 pneumonia by chest X-ray ordered by the GP. Main outcomes and measures: Symptoms of SARS-CoV-2 pneumonia, physical examination and diagnostic tests as a blood test, nasopharyngeal swab results for RT-PCR (Reverse transcriptase-polymerase chain reaction) and chest X-ray results. RESULTS: The overall SARS-CoV-2 pneumonias collected were 172 (female 87 [50.6%], mean age 60.5 years standard deviation [SD] 17.0). Comorbidities were body mass index ≥ 25 kg/m2 (90 [52.3%]), hypertension (83 [48.3%]), dyslipidaemia (68 [39.5%]) and diabetes (33 [19.2%]). The sample was stratified by age groups (< 50 years, 50-75 years and ≥ 75 years). Clinical manifestations at onset were fever (144 [83.7%]), cough (140 [81.4%]), dyspnoea (103 [59.9%]) and gastrointestinal disturbances (72 [41.9%]). Day 7.8 (SD:4.1) from clinical onset was the mean day of pneumonia diagnosis. Bilateral pneumonia was more prevalent than unilateral (126 [73.3%] and 46 [26.7%]). Patients with unilateral pneumonia were prone to higher pulse oximetry (96% vs 94%, p < 0.001). We found differences between unilateral and bilateral cases in C-reactive protein (29.6 vs 81.5 mg/L, p < 0.001), and lymphocytes (1400.0 vs 1000.0E3/ml, p < 0.001). Complications were registered: 42 (100%) of patients ≥ 75 years were admitted into hospital; pulmonary embolism was only present at bilateral pneumonia (7 patients [5.6%]) and death occurred in 1 patient with unilateral pneumonia (2.2%) vs 10 patients (7.9%) with bilateral pneumonia ( p 0.170). CONCLUSION: Clinical manifestations of SARS-CoV-2 pneumonia were fever, cough and dyspnoea; this was especially clear in the elderly. We described different characteristics between unilateral and bilateral pneumonia.

Medication-related problems in older people in Catalonia: A real-world data study.

PURPOSE: The aim of this study was to determine medication-related problems (MRPs) in primary care patients over 65 years of age. METHODS: Cross-sectional study based on the electronic health records of patients (65-99 years of age) visited in 284 primary health care centers during 2012 in Catalonia. VARIABLES: age, sex, sociodemographic variables, number of drugs, kidney and liver function and MRPs (duplicate therapy, drug-drug interactions, potentially inappropriate medications [PIMs] and drugs contraindicated in chronic kidney disease and in liver diseases). Unconditional logistic regression models were used to identify the factors associated with MRPs in patients with multimorbidity. RESULTS: 916 619 older people were included and 853 085 of them met the criteria for multimorbidity. Median age was 75 years and 57.7% of them were women. High percentages of MRPs were observed: PIMs (62.8%), contraindicated drugs in chronic kidney disease (12.1%), duplicate therapy (11.1%), contraindicated drugs in liver diseases (4.2%), and drug-drug interactions (1.0%). These numbers were higher in the subgroup of patients with ≥10 diseases. The most common PIMs were connected to drugs that increase the risk of fall (66.8%), antiulcer agents without criteria for gastroprotection (40.6%), and the combination of drugs with anticholinergic effects (39.7%). In the multivariate analysis, the variables associated with all MRPs among the patients with multimorbidity were the number of drugs and the number of visits. CONCLUSIONS: The coexistence of multimorbidity and polypharmacy is associated with an elevated risk of MRPs in older people. Medication safety for older patients constitutes a pressing concern for health services.

Using mobile applications and websites for the diagnosis of COVID-19 in Spain. / Uso de aplicaciones móviles y páginas web para el diagnóstico de la COVID-19 en España.

INTRODUCTION: New tools are needed for early evaluation of patients who could be infected by COVID-19 during this pandemic. M-Health (apps) could be a solution in this setting to evaluate a COVID-19 diagnosis. The aim of this study was to describe which COVID-19s apps are available in Spain. METHODS: We made a review of the diagnosis apps and websites of the different regions of Spain. We described the different characteristics of each app. RESULTS: We analyzed 6 apps, 5 corresponding to Autonomous Communities and one from the Ministry of Health, as well as 4 website test from the respectively health region. There were detected multiples differences between the m-Health methods analysed from the information collected to the information shared to citizens. However, all m-Health methods asked about the classic triad symptoms: fever, cough and dyspnoea. CONCLUSION: Although the COVID-19 Spanish crisis have been lead from the Ministry of Health, it has been detected different methods to apply m-Health though the multiple Spanish regions.

Five-year trajectories of multimorbidity patterns in an elderly Mediterranean population using Hidden Markov Models.

This study aimed to analyse the trajectories and mortality of multimorbidity patterns in patients aged 65 to 99 years in Catalonia (Spain). Five year (2012-2016) data of 916,619 participants from a primary care, population-based electronic health record database (Information System for Research in Primary Care, SIDIAP) were included in this retrospective cohort study. Individual longitudinal trajectories were modelled with a Hidden Markov Model across multimorbidity patterns. We computed the mortality hazard using Cox regression models to estimate survival in multimorbidity patterns. Ten multimorbidity patterns were originally identified and two more states (death and drop-outs) were subsequently added. At baseline, the most frequent cluster was the Non-Specific Pattern (42%), and the least frequent the Multisystem Pattern (1.6%). Most participants stayed in the same cluster over the 5 year follow-up period, from 92.1% in the Nervous, Musculoskeletal pattern to 59.2% in the Cardio-Circulatory and Renal pattern. The highest mortality rates were observed for patterns that included cardio-circulatory diseases: Cardio-Circulatory and Renal (37.1%); Nervous, Digestive and Circulatory (31.8%); and Cardio-Circulatory, Mental, Respiratory and Genitourinary (28.8%). This study demonstrates the feasibility of characterizing multimorbidity patterns along time. Multimorbidity trajectories were generally stable, although changes in specific multimorbidity patterns were observed. The Hidden Markov Model is useful for modelling transitions across multimorbidity patterns and mortality risk. Our findings suggest that health interventions targeting specific multimorbidity patterns may reduce mortality in patients with multimorbidity.

Multimorbidity patterns, polypharmacy and their association with liver and kidney abnormalities in people over 65 years of age: a longitudinal study.

BACKGROUND: The implementation of individual clinical practice guidelines in patients with multimorbidity often results in polypharmacy. Our aim was to analyse medication use according to longitudinal multimorbidity patterns (MP) and determine during a 5-year period (2012-16) which MP are associated with abnormal liver and kidney function in primary care patients over 65 years of age living in Catalonia. METHODS: Design: Longitudinal study (years 2012 to 2016) based on the electronic health records contained in Information System for Research in Primary Care database of the Catalan Institute of Health (SIDIAP). VARIABLES: age, sex, MP, medication and polypharmacy (drug exposure obtained from the Pharmacy Invoice Registry). Medicines were classified in accordance with the Anatomical Therapeutic Chemical Classification System (ATC). Glomerular filtration rate was used to determine abnormal kidney function, and serum levels of alkaline phosphatase, alanine transaminase and gamma-glutamyl transpeptidase were used to diagnose abnormal liver function. STATISTICS: For medication use in MP, we calculated annual mean packages of each drug in each MP, and observed/expected ratios were obtained by dividing mean packages in the cluster by mean packages of the same drug in the overall population. Logistic regression models were fitted to estimate the association between MP at baseline and abnormal kidney and liver function tests during follow up. RESULTS: Nine hundred sixteen thousand six hundred nineteen patients were included, and 743,827 completed the follow up. We identified one polypharmacy profile per MP, and concluded that the most prescribed drugs in each pattern corresponded to the diseases overrepresented in that specific MP. The median of drugs ranged from 3 (Cluster 1 - Non-Specific) to 8 (Cluster 10 - Multisystem Pattern). Abnormal kidney function was most commonly observed in the Cluster 4 - Cardio-Circulatory and Renal (Odds Ratio [OR] 2.19; Confidence interval [CI] 95% 2.15-2.23) and Cluster 3 - Minority Metabolic Autoimmune-Inflammatory (OR 2.16; CI 95% 2.12-2.20) MP. A higher risk of abnormal liver function was observed in the Cluster 8 - Digestive (OR 3.39; CI 95% 3.30-3.49), and Cluster 4 - Cardio-Circulatory and Renal (OR 1.96; CI 95% 1.91-2.02) MP. CONCLUSIONS: A higher risk of abnormal kidney and liver function was observed in specific MP. The long-term characterisation of MP and polypharmacy illustrates the burden of chronic multimorbidity and polypharmacy in the elderly population.

Twelve-year clinical trajectories of multimorbidity in a population of older adults.

Multimorbidity-the co-occurrence of multiple diseases-is associated to poor prognosis, but the scarce knowledge of its development over time hampers the effectiveness of clinical interventions. Here we identify multimorbidity clusters, trace their evolution in older adults, and detect the clinical trajectories and mortality of single individuals as they move among clusters over 12 years. By means of a fuzzy c-means cluster algorithm, we group 2931 people ≥60 years in five clinically meaningful multimorbidity clusters (52%). The remaining 48% are part of an unspecific cluster (i.e. none of the diseases are overrepresented), which greatly fuels other clusters at follow-ups. Clusters contribute differentially to the longitudinal development of other clusters and to mortality. We report that multimorbidity clusters and their trajectories may help identifying homogeneous groups of people with similar needs and prognosis, and assisting clinicians and health care systems in the personalization of clinical interventions and preventive strategies.

Patterns of Multimorbidity in a Population-Based Cohort of Older People: Sociodemographic, Lifestyle, Clinical, and Functional Differences.

BACKGROUND: The aim of this study is to identify clusters of older persons based on their multimorbidity patterns and to analyze differences among clusters according to sociodemographic, lifestyle, clinical, and functional characteristics. METHODS: We analyzed data from the Swedish National Study on Aging and Care in Kungsholmen on 2,931 participants aged 60 years and older who had at least two chronic diseases. Participants were clustered by the fuzzy c-means cluster algorithm. A disease was considered to be associated with a given cluster when the observed/expected ratio was ≥2 or the exclusivity was ≥25%. RESULTS: Around half of the participants could be classified into five clinically meaningful clusters: respiratory and musculoskeletal diseases (RESP-MSK) 15.7%, eye diseases and cancer (EYE-CANCER) 10.7%, cognitive and sensory impairment (CNS-IMP) 10.6%, heart diseases (HEART) 9.3%, and psychiatric and respiratory diseases (PSY-RESP) 5.4%. Individuals in the CNS-IMP cluster were the oldest, with the worst function and more likely to live in a nursing home; those in the HEART cluster had the highest number of co-occurring diseases and drugs, and they exhibited the highest mean values of serum creatinine and C-reactive protein. The PSY-RESP cluster was associated with higher levels of alcoholism and neuroticism. The other half of the cohort was grouped in an unspecific cluster, which was characterized by gathering the youngest individuals, with the lowest number of co-occurring diseases, and the best functional and cognitive status. CONCLUSIONS: The identified multimorbidity patterns provide insight for setting targets for secondary and tertiary preventative interventions and for designing care pathways for multimorbid older people.

Uso de aplicaciones móviles y páginas web para el diagnóstico de la COVID-19 en España / Using mobile applications and websites for the diagnosis of COVID-19 in Spain

INTRODUCCIÓN: Ante la pandemia por la COVID-19 son necesarias nuevas herramientas de trabajo a nivel sanitario para la evaluación precoz de las personas sospechosas de haber sido infectadas. La tecnología de la información y comunicación (TIC) puede dar solución a este nuevo escenario. El objetivo de este estudio es conocer qué TIC hay en España. MÉTODOS: Revisión de la TIC (aplicaciones móviles y páginas web) de las comunidades autónomas de España, listando las características recogidas de cada una de ellas. RESULTADOS: Se han analizado seis aplicaciones móviles correspondientes a cinco comunidades autónomas y una del Ministerio de Sanidad, además de cuatro test en páginas web de la Consejería de Salud de la comunidad autónoma correspondiente. De las TIC observadas, existen muchas diferencias entre ellas, tanto en la información recogida como en los recursos dedicados al ciudadano. Si bien todas ellas preguntan por la tríada clásica de síntomas COVID-19: fiebre, tos y disnea. CONCLUSIONES: A pesar de tener un órgano organizador común en la crisis de la COVID-19 en España, el Ministerio de Sanidad, se han observado diferentes métodos de aplicación en la tecnología de la información y comunicación en los territorios autonómicos de España

INTRODUCTION: New tools are needed for early evaluation of patients who could be infected by COVID-19 during this pandemic. M-Health (apps) could be a solution in this setting to evaluate a COVID-19 diagnosis. The aim of this study was to describe which COVID-19s apps are available in Spain. METHODS: We made a review of the diagnosis apps and websites of the different regions of Spain. We described the different characteristics of each app. RESULTS: We analyzed 6 apps, 5 corresponding to Autonomous Communities and one from the Ministry of Health, as well as 4 website test from the respectively health region. There were detected multiples differences between the m-Health methods analysed from the information collected to the information shared to citizens. However, all m-Health methods asked about the classic triad symptoms: fever, cough and dyspnoea. CONCLUSION: Although the COVID-19 Spanish crisis have been lead from the Ministry of Health, it has been detected different methods to apply m-Health though the multiple Spanish regions