Bayesian spatial modeling of childhood overweight and obesity prevalence in Costa Rica.

BACKGROUND: Childhood overweight and obesity levels are rising and becoming a concern globally. In Costa Rica, the prevalence of these conditions has reached alarming values. Spatial analyses can identify risk factors and geographical patterns to develop tailored and effective public health actions in this context. METHODS: A Bayesian spatial mixed model was built to understand the geographic patterns of childhood overweight and obesity prevalence in Costa Rica and their association with some socioeconomic factors. Data was obtained from the 2016 Weight and Size Census (6 - 12 years old children) and 2011 National Census. RESULTS: Average years of schooling increase the levels of overweight and obesity until reaching an approximate value of 8 years, then they start to decrease. Moreover, for every 10-point increment in the percentage of homes with difficulties to cover their basic needs and in the percentage of population under 14 years old, there is a decrease of 7.7 and 14.0 points, respectively, in the odds of obesity. Spatial patterns show higher values of prevalence in the center area of the country, touristic destinations, head of province districts and in the borders with Panama. CONCLUSIONS: Especially for childhood obesity, the average years of schooling is a non-linear factor, describing a U-inverted curve. Lower percentages of households in poverty and population under 14 years old are slightly associated with higher levels of obesity. Districts with high commercial and touristic activity present higher prevalence risk.

Mathematical and statistical models for the control of mosquito-borne diseases: the experience of Costa Rica.

Objective: To summarize the results of research conducted in Costa Rica in which mathematical and statistical methods were implemented to study the transmission dynamics of mosquito-borne diseases. Methods: Three articles with mathematical and statistical analysis on vector-borne diseases in Costa Rica were selected and reviewed. These papers show the value and relevance of using different quantitative methods to understand disease dynamics and support decision-making. Results: The results of these investigations: 1) show the impact on dengue case reports when a second pathogen emerges, such as chikungunya; 2) recover key parameters in Zika dynamics using Bayesian inference; and 3) show the use of machine learning algorithms and climatic variables to forecast the dengue relative risk in five different locations. Conclusions: Mathematical and statistical modeling enables the description of mosquito-borne disease transmission dynamics, providing quantitative information to support prevention/control methods and resource allocation planning.

Barriers and Enablers Affecting the Uptake of Biosimilar Medicines Viewed Through the Lens of Actor Network Theory: A Systematic Review.

BACKGROUND AND OBJECTIVE: Biosimilars represent an opportunity to realise savings against the costs of innovative medicines. Despite efforts made by stakeholders, there are numerous barriers to the uptake of biosimilars. To realise the promise of biosimilars reducing costs, barriers must be identified, understood, and overcome, and enablers magnified. The aim of this systematic review is to summarise the enablers and barriers affecting uptake of biosimilars through the application of a classification system to organise them into healthcare professional (HCP), patient, or systemic categories. METHODS: A systematic literature search was performed in PubMed, Scopus, CINAHL, eConlit, and Embase. Included were primary research studies published in English between Jan 2017 through June 2023 focused on enablers and barriers affecting uptake of biosimilars. Excluded studies comprised comparisons of biosimilar efficacy and safety versus the reference biologic. One reviewer extracted data that included classification of barriers or enablers, the sub-classification, and the identification of the degree of agency associated with the actor through their role and associations as a mediator within their network, through the application of Actor Network Theory. The data were validated by a second reviewer (PV). RESULTS: Of the 94 studies included, 59 were cross-sectional, 20 were qualitative research, 12 were cohort studies, and three were economic evaluations. Within the review, 51 of the studies included HCP populations and 35 included patients. Policies and guidelines were the most cited group of enablers, overall. Systemic enablers were addressed in 29 studies. For patients, the most frequently cited enabler was positive framing of a biosimilar, while for HCPs, cost benefit was the most frequently noted enabler. The most frequently discussed systemic barrier to biosimilar acceptance was lack of effective policies or guidelines, followed by lack of financial incentives, while the most significant barriers for HCPs and patients, respectively, were their lack of general knowledge about biosimilars and concerns about safety and efficacy. Systemic actors and HCPs most frequently acted with broad degree of agency as mediators, while patient most frequently acted with a narrow degree of agency as mediators within their networks. CONCLUSIONS: Barriers and enablers affecting uptake of biosimilars are interconnected within networks, and can be divided into systemic, HCP, and patient categories. Understanding the agency of actors within networks may allow for more comprehensive and effective approaches. Systemic enablers in the form of policies appear to be the most effective overall levers in affecting uptake of biosimilars, with policy makers advised to give careful consideration to appropriately educating HCPs and positively framing biosimilars for patients.

An implementation of a multilayer network model for the Covid-19 pandemic: A Costa Rica study.

We present a numerical implementation for a multilayer network to model the transmission of Covid-19 or other diseases with a similar transmission mechanism. The model incorporates different contact types between individuals (household, social and sporadic networks) and includes an SEIR type model for the transmission of the virus. The algorithm described in this paper includes the main ideas of the model used to give public health authorities an additional tool for the decision-making process in Costa Rica by simulating extensive possible scenarios and projections. We include two simulations: a study of the effect of restrictions on the transmission of the virus and a Costa Rica case study that was shared with the Costa Rican health authorities.

Assessing dengue fever risk in Costa Rica by using climate variables and machine learning techniques.

Dengue fever is a vector-borne disease affecting millions yearly, mostly in tropical and subtropical countries. Driven mainly by social and environmental factors, dengue incidence and geographical expansion have increased in recent decades. Therefore, understanding how climate variables drive dengue outbreaks is challenging and a problem of interest for decision-makers that could aid in improving surveillance and resource allocation. Here, we explore the effect of climate variables on relative dengue risk in 32 cantons of interest for public health authorities in Costa Rica. Relative dengue risk is forecast using a Generalized Additive Model for location, scale, and shape and a Random Forest approach. Models use a training period from 2000 to 2020 and predicted climatic variables obtained with a vector auto-regressive model. Results show reliable projections, and climate variables predictions allow for a prospective instead of a retrospective study.

Neuroendocrine Tumor Metastases to the Breast: A Case Report and Review of the Literature.

Breast metastases from neuroendocrine neoplasms (NENs) are considered infrequent. We report a case of a patient with ileocecal neuroendocrine tumor (NET) metastases to both breasts, for whom the initial clinical presentation was chronic diarrhea. Breast metastasis was initially suspected by a 68-Gallium DOTANOC positron emission tomography (PET)/CT and was confirmed by histopathology. We also performed a literature review in which we identified 116 cases of NENs metastatic to the breast reported so far. Most cases occurred in older women, were caused by NETs, and had the gastrointestinal tract as the primary site.

Common patterns between dengue cases, climate, and local environmental variables in Costa Rica: A wavelet approach.

Dengue transmission poses significant challenges for public health authorities worldwide due to its susceptibility to various factors, including environmental and climate variability, affecting its incidence and geographic spread. This study focuses on Costa Rica, a country characterized by diverse microclimates nearby, where dengue has been endemic since its introduction in 1993. Using wavelet coherence and clustering analysis, we performed a time-series analysis to uncover the intricate connections between climate, local environmental factors, and dengue occurrences. The findings indicate that multiannual dengue frequency (3 yr) is correlated with the Oceanic Niño Index and the Tropical North Atlantic Index. This association is particularly prominent in cantons located along the North and South Pacific Coast, as well as in the Central cantons of the country. Furthermore, the time series of these climate indices exhibit a leading phase of approximately nine months ahead of dengue cases. Additionally, the clustering analysis uncovers non-contiguous groups of cantons that exhibit similar correlation patterns, irrespective of their proximity or adjacency. This highlights the significance of climate factors in influencing dengue dynamics across diverse regions, regardless of spatial closeness or distance between them. On the other hand, the annual dengue frequency was correlated with local environmental indices. A persistent correlation between dengue cases and local environmental variables is observed over time in the North Pacific and the Central Region of the country's Northwest, with environmental factors leading by less than three months. These findings contribute to understanding dengue transmission's spatial and temporal dynamics in Costa Rica, highlighting the importance of climate and local environmental factors in dengue surveillance and control efforts.

A multilayer network model of Covid-19: Implications in public health policy in Costa Rica.

Successful partnerships between researchers, experts, and public health authorities have been critical to navigate the challenges of the Covid-19 pandemic worldwide. In this collaboration, mathematical models have played a decisive role in informing public policy, with findings effectively translated into public health measures that have shaped the pandemic in Costa Rica. As a result of interdisciplinary and cross-institutional collaboration, we constructed a multilayer network model that incorporates a diverse contact structure for each individual. In July 2020, we used this model to test the effect of lifting restrictions on population mobility after a so-called "epidemiological fence" imposed to contain the country's first big wave of cases. Later, in August 2020, we used it to predict the effects of an open and close strategy (the Hammer and Dance). Scenarios constructed in July 2020 showed that lifting restrictions on population mobility after less than three weeks of epidemiological fence would produce a sharp increase in cases. Results from scenarios in August 2020 indicated that the Hammer and Dance strategy would only work with 50% of the population adhering to mobility restrictions. The development, evolution, and applications of a multilayer network model of Covid-19 in Costa Rica has guided decision-makers to anticipate implementing sanitary measures and contributed to gain valuable time to increase hospital capacity.

Projecting the impact of Covid-19 variants and vaccination strategies in disease transmission using a multilayer network model in Costa Rica.

For countries starting to receive steady supplies of vaccines against SARS-CoV-2, the course of Covid-19 for the following months will be determined by the emergence of new variants and successful roll-out of vaccination campaigns. To anticipate this scenario, we used a multilayer network model developed to forecast the transmission dynamics of Covid-19 in Costa Rica, and to estimate the impact of the introduction of the Delta variant in the country, under two plausible vaccination scenarios, one sustaining Costa Rica's July 2021 vaccination pace of 30,000 doses per day and with high acceptance from the population and another with declining vaccination pace to 13,000 doses per day and with lower acceptance. Results suggest that the introduction and gradual dominance of the Delta variant would increase Covid-19 hospitalizations and ICU admissions by [Formula: see text] and [Formula: see text], respectively, from August 2021 to December 2021, depending on vaccine administration and acceptance. In the presence of the Delta variant, new Covid-19 hospitalizations and ICU admissions are estimated to increase around [Formula: see text] and [Formula: see text], respectively, in the same period if the vaccination pace drops. Our results can help decision-makers better prepare for the Covid-19 pandemic in the months to come.

The Role of Mobility and Sanitary Measures on the Delay of Community Transmission of COVID-19 in Costa Rica.

The aim of this paper is to infer the effects that change on human mobility had on the transmission dynamics during the first four months of the SARS-CoV-2 pandemic in Costa Rica, which could have played a role in delaying community transmission in the country. First, by using parametric and non-parametric change-point detection techniques, we were able to identify two different periods when the trend of daily new cases significantly changed. Second, we explored the association of these changes with data on population mobility. This also allowed us to estimate the lag between changes in human mobility and rates of daily new cases. The information was then used to establish an association between changes in population mobility and the sanitary measures adopted during the study period. Results showed that during the initial two months of the pandemic in Costa Rica, the implementation of sanitary measures and their impact on reducing human mobility translated to a mean reduction of 54% in the number of daily cases from the projected number, delaying community transmission.

Parameter estimates of the 2016-2017 Zika outbreak in Costa Rica: An Approximate Bayesian Computation (ABC) approach.

In Costa Rica, the first known cases of Zika were reported in 2016. We looked at the 2016-2017 Zika outbreak and explored the transmission dynamics using weekly reported data. A nonlinear differential equation single-outbreak model with sexual transmission, as well as host availability for vector-feeding was used to estimate key parameters, fit the data and compute the basic reproductive number, R0, distribution. Furthermore, a sensitivity and elasticity analysis was computed based on the R0 parameters.

Caregiver Burden in Families of People With Mental Illness Linked to the Day Hospital Program of a Tertiary Institution in the City of Cali (Colombia). / Carga del cuidador en familias de personas con enfermedad mental vinculadas al programa de hospital de día de una institución de tercer nivel en Cali (Colombia).

OBJECTIVE: To establish the occurrence of caregiver syndrome in caregivers of people with mental illness participating in the Day Hospital Program of a tertiary institution in the city of Cali. MATERIAL AND METHODS: A descriptive, cross-sectional observational study was carried out to evaluate the occurrence of overload syndrome in 70 caregivers of people with mental illness, through interviews and the formal application of the Zarit scale and the WHO-DAS 2.0 questionnaire. RESULTS: It was established that 68.6% of the participating population presented some level of overload. The caregiver profile corresponds to women, over the age of 55, who belonged to the subsidized health system; earning a low income, and with an average of 8 years in caregiver role for at least 12 hours per day. The long time dedicated to the role's activities and the level of demand resulting from the degree of disability of the person receiving care, appear as associated factors for the presence of higher levels of overload for the caregiver, for which they are a factor to consider when implementing interventions and research processes in which the caregiver is involved as a key agent for improving the quality of life of people with mental illness.

Mathematical and statistical models for the control of mosquito-borne diseases: the experience of Costa Rica

[ABSTRACT]. Objective. To summarize the results of research conducted in Costa Rica in which mathematical and statistical methods were implemented to study the transmission dynamics of mosquito-borne diseases. Methods. Three articles with mathematical and statistical analysis on vector-borne diseases in Costa Rica were selected and reviewed. These papers show the value and relevance of using different quantitative methods to understand disease dynamics and support decision-making. Results. The results of these investigations: 1) show the impact on dengue case reports when a second pathogen emerges, such as chikungunya; 2) recover key parameters in Zika dynamics using Bayesian inference; and 3) show the use of machine learning algorithms and climatic variables to forecast the dengue relative risk in five different locations. Conclusions. Mathematical and statistical modeling enables the description of mosquito-borne disease transmission dynamics, providing quantitative information to support prevention/control methods and resource allocation planning.

[RESUMEN]. Objetivo. Resumir los resultados de las investigaciones realizadas en Costa Rica en las que se aplicaron métodos matemáticos y estadísticos para estudiar la dinámica de transmisión de las enfermedades transmitidas por mosquitos. Métodos. Se seleccionaron y analizaron tres artículos con análisis matemáticos y estadísticos sobre enfermedades transmitidas por vectores en Costa Rica. En estos artículos se muestra el valor y la pertinencia de emplear diferentes métodos cuantitativos para comprender la dinámica de la enfermedad y brindar apoyo a la toma de decisiones. Resultados. Los resultados de estas investigaciones: 1) muestran la repercusión en los informes de casos de dengue cuando surge un segundo agente patógeno, como el chikunguña; 2) recuperan parámetros clave en la dinámica del Zika mediante la inferencia bayesiana; y 3) muestran el uso de los algoritmos de aprendizaje automático y las variables climáticas para pronosticar el riesgo relativo de dengue en cinco lugares diferentes. Conclusiones. Los modelos matemáticos y estadísticos permiten describir la dinámica de transmisión de las enfermedades transmitidas por mosquitos, mediante la provisión de información cuantitativa para brindar apoyo a los métodos de prevención y control y a la planificación de la asignación de recursos.

[RESUMO]. Objetivo. Resumir os resultados de estudos realizados na Costa Rica em que foram aplicados métodos matemáticos e estatísticos para estudar a dinâmica de transmissão de doenças transmitidas por mosquitos. Métodos. Foram selecionados e revisados três artigos com análises matemáticas e estatísticas sobre doenças transmitidas por vetores na Costa Rica. Esses artigos mostram o valor e a pertinência do uso de diferentes métodos quantitativos para compreender a dinâmica das doenças e apoiar a tomada de decisões. Resultados. Os resultados dessas investigações: 1) mostram o impacto nas notificações de casos de dengue quando surge um segundo patógeno, como o chikungunya; 2) recuperam parâmetros-chave na dinâmica do zika, usando a inferência bayesiana; e 3) mostram o uso de algoritmos de aprendizagem por máquina e variáveis climáticas para prever o risco relativo da dengue em cinco locais diferentes. Conclusões. A modelagem matemática e estatística permite a descrição da dinâmica de transmissão de doenças transmitidas por mosquitos ao oferecer informações quantitativas para apoiar métodos de prevenção e/ou controle e o planejamento da alocação de recursos.

Mathematical and statistical models for the control of mosquito-borne diseases: the experience of Costa Rica / Modelos matemáticos y estadísticos para el control de enfermedades transmitidas por mosquitos: la experiencia de Costa Rica / Modelos matemáticos e estatísticos para o controle de doenças transmitidas por mosquitos: a experiência da Costa Rica

ABSTRACT Objective. To summarize the results of research conducted in Costa Rica in which mathematical and statistical methods were implemented to study the transmission dynamics of mosquito-borne diseases. Methods. Three articles with mathematical and statistical analysis on vector-borne diseases in Costa Rica were selected and reviewed. These papers show the value and relevance of using different quantitative methods to understand disease dynamics and support decision-making. Results. The results of these investigations: 1) show the impact on dengue case reports when a second pathogen emerges, such as chikungunya; 2) recover key parameters in Zika dynamics using Bayesian inference; and 3) show the use of machine learning algorithms and climatic variables to forecast the dengue relative risk in five different locations. Conclusions. Mathematical and statistical modeling enables the description of mosquito-borne disease transmission dynamics, providing quantitative information to support prevention/control methods and resource allocation planning.

RESUMEN Objetivo. Resumir los resultados de las investigaciones realizadas en Costa Rica en las que se aplicaron métodos matemáticos y estadísticos para estudiar la dinámica de transmisión de las enfermedades transmitidas por mosquitos. Métodos. Se seleccionaron y analizaron tres artículos con análisis matemáticos y estadísticos sobre enfermedades transmitidas por vectores en Costa Rica. En estos artículos se muestra el valor y la pertinencia de emplear diferentes métodos cuantitativos para comprender la dinámica de la enfermedad y brindar apoyo a la toma de decisiones. Resultados. Los resultados de estas investigaciones: 1) muestran la repercusión en los informes de casos de dengue cuando surge un segundo agente patógeno, como el chikunguña; 2) recuperan parámetros clave en la dinámica del Zika mediante la inferencia bayesiana; y 3) muestran el uso de los algoritmos de aprendizaje automático y las variables climáticas para pronosticar el riesgo relativo de dengue en cinco lugares diferentes. Conclusiones. Los modelos matemáticos y estadísticos permiten describir la dinámica de transmisión de las enfermedades transmitidas por mosquitos, mediante la provisión de información cuantitativa para brindar apoyo a los métodos de prevención y control y a la planificación de la asignación de recursos.

RESUMO Objetivo. Resumir os resultados de estudos realizados na Costa Rica em que foram aplicados métodos matemáticos e estatísticos para estudar a dinâmica de transmissão de doenças transmitidas por mosquitos. Métodos. Foram selecionados e revisados três artigos com análises matemáticas e estatísticas sobre doenças transmitidas por vetores na Costa Rica. Esses artigos mostram o valor e a pertinência do uso de diferentes métodos quantitativos para compreender a dinâmica das doenças e apoiar a tomada de decisões. Resultados. Os resultados dessas investigações: 1) mostram o impacto nas notificações de casos de dengue quando surge um segundo patógeno, como o chikungunya; 2) recuperam parâmetros-chave na dinâmica do zika, usando a inferência bayesiana; e 3) mostram o uso de algoritmos de aprendizagem por máquina e variáveis climáticas para prever o risco relativo da dengue em cinco locais diferentes. Conclusões. A modelagem matemática e estatística permite a descrição da dinâmica de transmissão de doenças transmitidas por mosquitos ao oferecer informações quantitativas para apoiar métodos de prevenção e/ou controle e o planejamento da alocação de recursos.

[Strategies to optimize pharmacological management in older adults]. / Estrategias para optimizar el manejo farmacológico en el adulto mayor.

Population aging increases the prevalence of chronic and multiple morbid illnesses and increases the consumption of multiple medications and related problems accordingly. It is reported that >50% of dispensed medications are consumed by older adults; in fact, >80% of older adults take at least one medication daily and 75% do not inform their doctor that they are using unconventional treatments. Appropriate medication prescription to older adults is challenging and it requires the consideration of risks and benefits of the indicated medications, for which clear evidence of their efficacy is often lacking due to the limited inclusion of elderly populations in randomized clinical trials on which clinical guides are based for chronic disease management. However, general guidelines and recommendations must be comprehensively implemented and supported by a multidisciplinary team whenever pharmacological management is provided for older adults. Here we focus on promoting proper prescriptions according to evidence-based recommendations to reduce inappropriate prescriptions, polypharmacy, and self-medication.

[Social health care for older adults in Peru]. / Atención sociosanitaria de los adultos mayores en el Perú.

Demographic and epidemiological changes have led to restructuring of the local and global health systems, changes that focus on broader coverage in which importance is given to an individual's physical well-being as well as social welfare in an effort to ensure healthy aging. In this review, the current social health care approach is analyzed from the different institutions that care for older populations and the changes that have resulted from boarding and caring for older adults.

Diagnóstico y tratamiento multidisciplinario de melanoma temprano y localmente avanzado. Consenso de expertos. Asociación Colombiana de Hematología y Oncología (ACHO) / Diagnosis and multidisciplinary treatment of early-stage and locally advanced melanoma: Expert consensus, Colombian Association of Hemato-Oncology (ACHO)

Resumen Introducción: El melanoma ocasiona el 75% de las muertes por cáncer de piel. Según GLOBOCAN, en 2018 se presentaron 287.723 casos nuevos de melanoma, con una mortalidad de 60.712 casos, que equivale al 20% del total de los casos incidentes. Las alternativas para el tratamiento del melanoma se fundamentan en la estatificación de la enfermedad, y en las características moleculares de la enfermedad. Objetivo: Consensuar, por común acuerdo de expertos, sugerencias para el diagnóstico y manejo de melanoma temprano basadas en la evidencia y ajustadas al contexto colombiano. Métodos: Se llevó a cabo un consenso de expertos multidisciplinario, constituido por 19 oncólogos clínicos, 2 cirujanos de mama y tejidos blandos, 2 dermatólogos, 2 patólogos y 2 radioterapeutas, miembros activos de la Asociación Colombiana de Hemato Oncología (ACHO). Este consenso se realizó en 4 etapas: 1. Estructuración de 29 preguntas, que se calificaron de 1 a 9. 2. Reenvío de las preguntas no consensuadas. 3. Análisis y discusión de las respuestas. 4. Las respuestas no consensuadas se llevaron a un consenso nominal. Resultados: Se discutieron 29 preguntas relacionadas con el diagnóstico y tratamiento de melanoma temprano, se construyeron sugerencias basadas en evidencia utilizada por los expertos y en guías de manejo de oncología reconocidas internacionalmente, adaptadas al contexto y realidad colombianos. Conclusiones: Se presentan sugerencias multidisciplinarias para el diagnóstico y tratamiento de melanoma temprano, las cuales debe considerarse para orientar la toma de decisiones y homogenizar la práctica clínica de acuerdo al contexto colombiano y a las características propias del sistema de salud del país. Este es un documento académico y no regulatorio.

Abstract Introduction: Melanoma causes 75% of deaths from skin cancer. In 2018, according to GLOBOCAN, 287,723 new melanoma cases were registered, with a mortality of 60,712 cases, which is equivalent to 20% of all incident cases. Alternatives for the treatment of melanoma are based on disease staging and the molecular characteristics of the disease. Objective: To establish a consensus by common agreement of experts and construct suggestions for the diagnosis and management of early-stage melanoma based on evidence and adjusted to the Colombian context. Methods: A multidisciplinary expert consensus was established, wth the participation of 19 clinical oncologists, 2 soft tissue surgeons, 2 dermatologists, 2 pathologists, and 2 radiotherapists, active members of the Colombian Association of Hemato-Oncology (ACHO). This consensus was carried out in four stages: 1) Structuring of 29 questions, which were scored from 1 to 9; 2) Resubmission of non-consensual questions; 3) Analysis and discussion of responses; and 4) Validation of non-consensual responses by nominal consensus. Results: Twenty-nine questions related to the diagnosis and treatment of early-stage melanoma were discussed in order to construct suggestions based on evidence proven by experts, as well as on internationally recognized oncology management guidelines adapted to the Colombian context and reality. Conclusions: Multidisciplinary suggestions are offered for the diagnosis and treatment of early-stage melanoma, which should be considered in order to guide decision-making and homogenize clinical practice according to the Colombian context and the characteristics of the Colombian health care system. This is an academic and non-regulatory document.

[Clinical, functional and older socio-familiar profile of the community in a district of Lima, Peru]. / Perfil clínico, funcional y sociofamiliar del adulto mayor de la comunidad en un distrito de Lima, Perú.

OBJECTIVES: To determine the clinical, functional and socio-familiar profile of seniors from a community in a district of Lima, Peru. MATERIALS AND METHODS: Descriptive cross-sectional study of a sample of 501 people aged 60 and over living in the San Martin de Porres district. We used a structured questionnaire in which clinical, functional and socio-familiar variables were recorded. A physical evaluation was carried out to assess performance based measures and serum samples were taken for hematological and biochemical examination. The data were presented with descriptive statistics such as frequencies and percentages for categorical variables and means and standard deviations for the numeric variables. RESULTS: A total of 501 older adults were evaluated. The mean age was 71.5 years (±8.9 years). The most common chronic disease was arterial hypertension at 40.9%, followed by rheumatic diseases with 36.9%. 27.7% had some degree of partial or total dependence in activities of daily living, 16.2% had cognitive impairment, 8% lived alone, 58.5% had or were at risk of having a social problem.61% self-rated their health as normal, while 16% rated it as bad or very bad. CONCLUSIONS: Seniors in the community of San Martin de Porres in Lima have frequent problems of functional dependence, have or are at risk of social problems, chronic illness and a high frequency of geriatric syndromes and problems.

Carga del cuidador en familias de personas con enfermedad mental vinculadas al programa de hospital de día de una institución de tercer nivel en Cali (Colombia) / Caregiver Burden in Families of People with Mental Illness Linked to the Day Hospital Program of a Tertiary Institution in the City of Cali (Colombia)

RESUMEN Objetivo: Establecer la ocurrencia del síndrome del cuidador entre los cuidadores de personas con enfermedad mental vinculadas al programa de hospital de día de una institución de tercer nivel de la ciudad de Cali (Colombia). Material y métodos: Se realizó un estudio descriptivo y observacional de corte transversal, para evaluar la ocurrencia del síndrome de sobrecarga en 70 cuidadores de personas con enfermedad mental, a través de entrevistas y la aplicación formal de la escala de Zarit y el cuestionario WHO-DAS 2.0. Resultados: Se estableció que el 68,6% de la población participante presenta algún grado de sobrecarga; el perfil del cuidador es el de una mujer, mayor de 55 arios, madre de familia, perteneciente al régimen subsidiado de salud y con bajo ingreso económico que, en pro medio, lleva 8 años ejerciendo el rol de cuidador por lo menos 12 h diarias. El largo tiempo de dedicación a las actividades propias del rol y el nivel de demanda, producto del grado de discapacidad de la persona a la que se cuida, aparecen como factores asociados a la apari ción de un mayor grado de sobrecarga para el cuidador, por lo que constituyen un factor que considerar en la implementación de procesos de intervención e investigación que vinculen al cuidador como agente clave en el mejoramiento de la calidad de vida de las personas con enfermedad mental.

ABSTRACT Objective: To establish the occurrence of caregiver syndrome in caregivers of people with mental illness participating in the Day Hospital Program of a tertiary institution in the city of Cali. Material and methods: A descriptive, cross-sectional observational study was carried out to evaluate the occurrence of overload syndrome in 70 caregivers of people with mental illness, through interviews and the formal application of the Zarit scale and the WHO-DAS 2.0 questionnaire. Results: It was established that 68.6% of the participating population presented some level of overload. The caregiver profile corresponds to women, over the age of 55, who belonged to the subsidized health system; earning a low income, and with an average of 8 years in caregiver role for at least 12 hours per day. The long time dedicated to the role's activities and the level of demand resulting from the degree of disability of the person receiving care, appear as associated factors for the presence of higher levels of overload for the caregiver, for which they are a factor to consider when implementing interventions and research processes in which the caregiver is involved as a key agent for improving the quality of life of people with mental illness.

Estrategias para optimizar el manejo farmacológico en el adulto mayor / Strategies to optimize pharmacological management in older adults

RESUMEN El envejecimiento de la población tiene como consecuencia incrementos en la prevalencia de enfermedades crónicas y de multimorbilidad, en el consumo de múltiples fármacos y los problemas relacionados con los mismos. Se reporta que más del 50% de todos los medicamentos expendidos son consumidos por adultos mayores; más del 80% de las personas adultas mayores toman al menos una medicación diaria y 75% no informa a su médico que usa tratamientos no convencionales. Prescribir de forma apropiada en el adulto mayor es un trabajo difícil que requiere considerar un balance entre los riesgos y beneficios de las medicinas indicadas, las cuales suelen no tener una evidencia clara de su eficacia, dada la poca representatividad de la población adulta mayor en los ensayos clínicos randomizados sobre los cuales se basan las guías clínicas para el manejo de las enfermedades crónicas, condiciones altamente prevalentes en la población adulta mayor. Sin embargo, existen directrices y recomendaciones generales que deben de aplicarse de forma integral, apoyados por un equipo multidisciplinario, toda vez que se realice un manejo farmacológico en el adulto mayor. En este artículo, nos enfocamos en promover la prescripción adecuada sobre la base de recomendaciones basadas en evidencia para disminuir la medicación inapropiada, la polifarmacia y la automedicación.

ABSTRACT Population aging increases the prevalence of chronic and multiple morbid illnesses and increases the consumption of multiple medications and related problems accordingly. It is reported that >50% of dispensed medications are consumed by older adults; in fact, >80% of older adults take at least one medication daily and 75% do not inform their doctor that they are using unconventional treatments. Appropriate medication prescription to older adults is challenging and it requires the consideration of risks and benefits of the indicated medications, for which clear evidence of their efficacy is often lacking due to the limited inclusion of elderly populations in randomized clinical trials on which clinical guides are based for chronic disease management. However, general guidelines and recommendations must be comprehensively implemented and supported by a multidisciplinary team whenever pharmacological management is provided for older adults. Here we focus on promoting proper prescriptions according to evidence-based recommendations to reduce inappropriate prescriptions, polypharmacy, and self-medication.