A smartphone-based system for detecting hand tremors in unconstrained environments

The detection of tremors can be crucial for the early diagnosis and proper treatment of some disorders such as Parkinson’s disease. A smartphone-based applica- tion has been developed for detecting hand tremors. This application runs in background and distinguishes hand tremors from common daily activities. This application can facilitate the continuous monitoring of patients or the early detection of this symptom. The evaluation analyzes 1770 accelerometer samples with cross-validation for assessing the ability of the system for processing unknown data, obtaining a sensitivity of 95.8 % and a specificity of 99.5 %. It also analyzes continuous data for some volun- teers for several days, which corroborated its high performance

Multimorbidity and weight loss in obese primary care patients: Longitudinal study based on electronic healthcare records

Objective: To analyse the association between cardiovascular and mental comorbidities of obesity and weight loss registered in the electronic primary healthcare records. Design and setting: Longitudinal study of a cohort of adult patients assigned to any of the public primary care centres in Aragon, Spain, during 2010 and 2011. Participants: Adult obese patients for whom data on their weight were available for 2010 (n=62 901), and for both 2010 and 2011 (n=42 428). Outcomes: Weight loss (yes/no) was calculated based on the weight difference between the first value registered in 2010 and the last value registered in 2011. Multivariate logistic regression models were adjusted for individuals' age, sex, total number of chronic comorbidities, type of obesity and length of time between both weight measurements. Results: According to the recorded clinical information, 9 of 10 obese patients showed at least one chronic comorbidity. After adjusting for covariates, weight loss seemed to be more likely among obese patients with a diagnosis of diabetes and/or dementia and less likely among those with hypertension, anxiety and/or substance use problems (p<0.05). The probability of weight loss was also significantly higher in male patients with more severe obesity and older age. Conclusions: An increased probability of weight loss over 1 year was observed in older obese male patients, especially among those already manifesting high levels of obesity and severe comorbidities such as diabetes and/or dementia. Yet patients with certain psychological problems showed lower rates of weight reduction. Future research should clarify if these differences persist beyond potential selective weight documentation in primary care, to better understand the trends in weight reduction among obese patients and the underlying role of general practitioners regarding such trends

Coagulation Parameters: An Efficient Measure for Predicting the Prognosis and Clinical Management of Patients with COVID-19

Background. COVID-19 is an ongoing global pandemic. Since the detection of the first cases of coronavirus disease 2019 (COVID-19) in Wuhan, China, the current pandemic has affected more than 25.3 million people worldwide. The aim of this study was to evaluate the relationship between coagulation abnormalities and prognosis in a cohort of patients with COVID-19. Methods. We performed a retrospective cohort study of 3581 patients admitted to Hospital La Paz (Madrid, Spain) due to respiratory infection by severe acute respiratory syndrome coronavirus from the beginning of the current pandemic to 15 July 2020. Results. Of the 3581 study patients, 48.94% were men, and 19.80% were healthcare workers. The median age was 62 years. Compared with the survivors, the non-survivors had lower prothrombin activity (82.5 (Interquartile range-IQR, 67-95) vs. 95.25 (IQR, 87-104) for non-survivors and survivors, respectively; p < 0.001), higher fibrinogen levels (748.5-IQR, 557-960) vs. 572.75 (IQR, 417-758; p < 0.001), and notably higher D-dimer levels (2329-IQR, 1086.12-5670.40) vs. 635.5 (IQR, 325.5-1194.8); p < 0.001). Conclusions. The evaluation of coagulation parameters could be an efficient measure for predicting the prognosis and improving the clinical management of patients with COVID-19

Analysis of depressive episodes, their recurrence and pharmacologic treatment in primary care patients: A retrospective descriptive study

Background: Depression is one of the most prevalent health problems, frequently being a medium- and long-term condition, with a high comorbidity rate and with frequent relapses and recurrences. Although numerous studies have compared the effectiveness of specific antidepressant therapy drugs and have assessed relapses, scientific evidence on the relationship between pharmacologic treatments and recurrence is scarce. The objective of this study is to describe depressive episodes in a primary care patient cohort, the percentage of depression recurrences and the administered pharmacologic treatment, from a naturalistic perspective. Methods: Retrospective descriptive study. 957 subjects were included. The dependent variable was a depression diagnosis and independent variables were: gender, age at time of data collection; age of onset, first-episode treatment, number of recurrences, age at recurrences, treatment prescribed for recurrences using therapeutic groups categorization. Results: Recurrences are frequent, affecting more than 40% of the population. In the first episode, 13.69% of the patients were not prescribed pharmacological treatment, but this percentage decreased over the following depression episodes. 80.9% of the patients who did not receive drug treatment in the first depression episode did not experience subsequent episodes. Monotherapy, and specifically, SSRIs were the most frequently prescribed treatment option for all depressive episodes. Regards the combined pharmacologic treatment, the most frequent drug combinations were SSRIs and benzodiazepines. Limitations In order to increase the power of results, the statistical analysis was performed using therapeutic groups categorization, not individually analyzing each drug and dose. Conclusions: Depressive episode recurrence is frequent in primary care patients. Further studies having a prospective design are needed in order to expand on this issue

Mental Health Patients' Expectations about the Non-Medical Care They Receive in Primary Care: A Cross-Sectional Descriptive Study

A health system's responsiveness is the result of patient expectations for the non-medical care they receive. The objective of this study was to assess mental patients' responsiveness to the health system in primary care, as related to the domains of dignity, autonomy, confidentiality, and communication. Data were collected from 215 people over the age of 18 with mental disorders, using the Multi-Country Survey Study (MCSS) developed by the World Health Organization. Of them, 95% reported a good experience regarding the dignity, confidentiality, communication, and autonomy domains. Regarding responsiveness, patients valued the dignity domain as the most important one (25.1%). Among the patients who experienced poor confidentiality, five out of seven earned less than 900 euros per month (X-2 = 10.8, p = 0.004). Among those who experienced good autonomy, 85 out of 156 belonged to the working social class (90.4%), and among those who valued it as poor (16.1%), the highest proportion was for middle class people (X-2 = 13.1, p = 0.028). The two students and 87.5% of retirees experienced this dimension as good, and most patients who valued it as poor were unemployed (43.5%) (X-2 = 13.0, p = 0.011). Patients with a household income higher than 900 euros more frequently valued responsiveness as good, regarding those domains related to communication, with OR = 3.84, 95% CI = 1.05-14.09, and confidentiality, with OR = 10.48, 95% CI = 1.94-56.59. To conclude, as regards responsiveness in primary care, the dignity domain always obtained the best scores by people with mental disorders. Low economic income is related to a poor assessment of confidentiality. Working class patients, students, and retirees value autonomy as good

Correlación entre el diagnóstico de depresión y la sintomatología presentada en pacientes de atención primaria

La depresión mayor es una enfermedad crónica con una alta prevalencia que cursa habitualmente de manera episó- dica, con una duración media del episodio de 16 semanas. No se han encontrado análisis que evalúen la concordancia entre la aparición de los mismos y la evolución del episodio. El objetivo de este estudio es analizar la concordancia entre la evolución sintomática (aparición, mantenimiento, remisión de los diversos síntomas) y la evolución del diagnóstico de depresión mayor (aparición, mantenimiento y remisión) en una cohorte de personas con y sin diagnóstico de depresión mayor. Se realizó un estudio de cohortes prospectivo a un año de seguimiento en el que se entrevistó a una muestra aleatoria de 741 sujetos que acudían a consultas de atención primaria, se elaboró el diagnóstico de depresión según criterios del DSM-IV y se analizó la sintomatología que presentaba. Estos sujetos fueron re-evaluados a los 6 meses y 12 meses. El estado de ánimo deprimido, la disminución del interés o anhedonia y los síntomas relacionados con el sueño (insomnio o hipersomnia), la agitación, el sentimiento de culpa y la fatiga o pérdida de energía son concordantes con el diagnóstico. El resto de los síntomas muestran una evolución independiente de la evolución del diagnóstico. En Atención Primaria, es importante conocer qué síntomas son claves en la evolución del diagnóstico con la finalidad de conseguir la remisión total de la depresión y evitar mantenimiento de sintomatología residual que puede dar lugar a pródromos

Low intensity vs. self-guided Internet-delivered psychotherapy for major depression: A multicenter, controlled, randomized study

Background: Major depression will become the second most important cause of disability in 2020. Computerized cognitive-behaviour therapy could be an efficacious and cost-effective option for its treatment. No studies on cost-effectiveness of low intensity vs self-guided psychotherapy has been carried out. The aim of this study is to assess the efficacy of low intensity vs self-guided psychotherapy for major depression in the Spanish health system. Methods: The study is made up of 3 phases: 1.- Development of a computerized cognitive-behaviour therapy for depression tailored to Spanish health system. 2.- Multicenter controlled, randomized study: A sample (N=450 patients) with mild/moderate depression recruited in primary care. They should have internet availability at home, not receive any previous psychological treatment, and not suffer from any other severe somatic or psychological disorder. They will be allocated to one of 3 treatments: a) Low intensity Internet-delivered psychotherapy + improved treatment as usual (ITAU) by GP, b) Self-guided Internet-delivered psychotherapy + ITAU or c) ITAU. Patients will be diagnosed with MINI psychiatric interview. Main outcome variable will be Beck Depression Inventory. It will be also administered EuroQol 5D (quality of life) and Client Service Receipt Inventory (consume of health and social services). Patients will be assessed at baseline, 3 and 12 months. An intention to treat and a per protocol analysis will be performed. Discussion: The comparisons between low intensity and self-guided are infrequent, and also a comparative economic evaluation between them and compared with usual treatment in primary. The strength of the study is that it is a multicenter, randomized, controlled trial of low intensity and self-guided Internet-delivered psychotherapy for depression in primary care, being the treatment completely integrated in primary care setting

Construcción de un índice de privación por zona básica de salud en Aragón a partir de datos de censo de 2011

Fundamentos: La medición de las desigualdades mediante indicadores compuestos facilita la priorización y puesta en marcha de acciones de salud pública. La fuente de información más comúnmente utilizada para ello ha sido el Censo de Población y viviendas de 2011 (CPV_2011). El objetivo fue validar la utilización del CPV_2011 por Zona de Salud (ZBS) y construir un índice de privación (IP) por ZBS así como analizar su asociación con la mortalidad en Aragón. Métodos: Estudio ecológico por ZBS. El CPV_2011, con diseño muestral, se validó mediante un test de homogeneidad de Chi_cuadrado y se calcularon 26 indicadores socioeconómicos. Se obtuvo el coeficiente de correlación de Spearman entre indicadores socioeconómicos y Razones de Mortalidad Estandarizadas (REM). Se realizó un análisis de componentes principales (ACP) con los indicadores correlacionados significativamente, extrayendo los componentes con autovalores mayores a 1 y se obtuvo la matriz rotada (Varimax). Se realizaron ACP con las variables de cada componente extrayendo un único factor. Se agruparon las ZBS en cuartiles, según el factor calculando tasas de mortalidad ajustadas a población estándar europea por edad, sexo y cuartil. El factor que más discrimina por cuartiles se consideró IP y se recalculó para ZBS urbanas con idénticas variables. Resultados: La validación de la muestra del CPV_2011, detectó cuatro ZBS infrarrepresentadas. 17 indicadores socioeconómicos se correlacionaron con REM. Del primer ACP se extrajeron 3 componentes, eligiendo como IP, el formado por %Desempleo, %Asalariados eventuales, %Instrucción Insuficiente 16-64 años y %Extranjeros. Las varianzas explicadas fueron 59,7% y 73,8% en el IP urbano. En hombres, la mortalidad en el cuartil menos privado (544,7 por 105; IC95%:515,8-573,6), fue inferior a la del más privado (618,7 por 105; IC95%:589,4,648,0). Conclusiones: El IP permite identificar ZBS desfavorecidas constituyendo una herramienta para evidenciar desigualdades y planificar intervenciones según necesidades. Background: The measurement of inequalities using composite indicators facilitates the prioritization and implementation of public health actions. The most commonly source of information used for this has been the Population and Housing Census of 2011 (PCH_2011). The objective of this study was to evaluate the use of PHC_2011 and develop a deprivation index (DI) by Basic Healthcare Area (BHA) and to analyse its association with mortality in Aragon. Methods: Ecological study by BHA. Since PHC_2011 was a sample of the population it was validated by the Chi-square test for homogeneity. 26 socioeconomic indicators were calculated. Spearman correlation coefficients were used to evaluate the relationship between socioeconomic indicators and Standardized Mortality Ratios (SMR). Principal Component Analyses (PCA) were conducted using the indicators in which a significant correlation was found. Components with eigenvalues higher than 1 were extracted, and the rotated matrix (Varimax) was obtained. PCA from each component were conducted, extracting only one factor. BHA were grouped into, according to the deprivation index values. Mortality rates adjusted to the European Standard Population by age, sex and quartile were calculated. The most discriminant factor by quartiles was considered DI. A different DI for urban areas was obtained from the same variables. Results: The validation of PHC sample detected 4 underrepresented BHA. 17 socioeconomic indicators were significatively correlated with SMR. From the first PCA, 3 components were obtained. The DI included % unemployment, % eventual workers, % insufficient education 16-64 years old and % foreigners. The % of variance explained by the DI was 59.7% and 73.8% in urban areas. In men, mortality in the quartile with the lowest deprivation (544, 7 per 105; CI95%: 515, 8-573, 6) was significatively lower than in the most deprivated areas(618, 7 per 105; CI95%: 589, 4-648, 0). Conclusions: This new DI allows us to identify deprived BHA. This is a useful tool to bring to light health inequalities and to plan interventions according to population's needs

Factors related to the development of health-promoting community activities in Spanish primary healthcare: two case-control studies.

Objective Spanish primary healthcare teams have the responsibility of performing health-promoting community activities (CAs), although such activities are not widespread. Our aim was to identify the factors related to participation in those activities. Design Two case–control studies. setting Performed in primary care of ve Spanish regions. subjects In the rst study, cases were teams that performed health-promoting CAs and controls were those that did not. In the second study (on case teams from the rst study), cases were professionals who developed these activities and controls were those who did not. Main outcome measures Team, professional and community characteristics collected through questionnaires (team managers/professionals) and from secondary sources. results The rst study examined 203 teams (103 cases, 100 controls). Adjusted factors associated with performing CAs were percentage of nurses (OR 1.07, 95% CI 1.01 to 1.14), community socioeconomic status (higher vs lower OR 2.16, 95% CI 1.18 to 3.95) and performing undergraduate training (OR 0.44, 95% CI 0.21 to 0.93). In the second study, 597 professionals responded (254 cases, 343 controls). Adjusted factors were professional classi cation (physicians do fewer activities than nurses and social workers do more), training in CAs (OR 1.9, 95% CI 1.2 to 3.1), team support (OR 2.9, 95% CI 1.5 to 5.7), seniority (OR 1.06, 95% CI 1.03 to 1.09), nursing tutor (OR 2.0, 95% CI 1.1 to 3.5), motivation (OR 3.7, 95% CI 1.8 to 7.5), collaboration with non-governmental organisations (OR 1.9, 95% CI 1.2 to 3.1) and participation in neighbourhood activities (OR 3.1, 95% CI 1.9 to 5.1). Conclusions Professional personal characteristics, such as social sensitivity, profession, to feel team support or motivation, have in uence in performing health-promoting CAs. In contrast to the opinion expressed by many professionals, workload is not related to performance of health-promoting CAs

Business analytics in industry 4.0: a systematic review

Recently, the term “Industry 4.0” has emerged to characterize several Information Technology and Communication (ICT) adoptions in production processes (e.g., Internet-of-Things, implementation of digital production support information technologies). Business Analytics is often used within the Industry 4.0, thus incorporating its data intelligence (e.g., statistical analysis, predictive modelling, optimization) expert system component. In this paper, we perform a Systematic Literature Review (SLR) on the usage of Business Analytics within the Industry 4.0 concept, covering a selection of 169 papers obtained from six major scientific publication sources from 2010 to March 2020. The selected papers were first classified in three major types, namely, Practical Application, Reviews and Framework Proposal. Then, we analysed with more detail the practical application studies which were further divided into three main categories of the Gartner analytical maturity model, Descriptive Analytics, Predictive Analytics and Prescriptive Analytics. In particular, we characterized the distinct analytics studies in terms of the industry application and data context used, impact (in terms of their Technology Readiness Level) and selected data modelling method. Our SLR analysis provides a mapping of how data-based Industry 4.0 expert systems are currently used, disclosing also research gaps and future research opportunities.The work of P. Cortez was supported by FCT - Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020. We would like to thank to the three anonymous reviewers for their helpful suggestions