VIG-Express: Consensus on an express multidimensional/geriatric assessment system in Catalonia

[spa] Objetivo: Consensuar una herramienta de valoración multidimensional/geriátrica rápida (VMGR), como sistema compartido y universal de valoración multidimensional de personas con multimorbilidad, fragilidad, complejidad o situación avanzada, para todos los profesionales del sistema de salud y social de Catalun ̃a. Disen ̃o: Consenso de profesionales en tres fases, combinando sesiones presenciales con trabajo telemático. Emplazamiento: Catalun ̃a. Participantes: Se constituyó un grupo de 27 profesionales de carácter interdisciplinario repre- sentativo de los distintos ámbitos de atención. Método: Se han combinado las metodologías de Design thinking para el consenso inicial de características de la herramienta de VMGR (fase 1), con la metodología Lean Start-Up para el disen ̃o de la nueva herramienta de VMGR (fase 2), que finalmente se testeó en un grupo de pacientes (fase 3). Resultados: En la fase 1 se consensuó que la herramienta de VMGR ideal debía permitir una valoración ad hoc de las personas, ser rápida y ágil (tiempo < 10 minutos), identificar las dimen- siones alteradas mediante preguntas trigger y facilitar el diagnóstico de situación (idealmente cuantificado). En la fase 2 se elaboró el prototipo de una nueva herramienta de VMGR de 15 + dos preguntas (VIG-Express), finalmente testeada en 35 personas en la fase 3. Conclusiones: En los resultados preliminares, la herramienta VIG-Express parece facilitar una valoración multidimensional sencilla y rápida y la personalización de las intervenciones, así como una mirada única y un relato compartido entre los profesionales de los distintos ámbitos de atención. Serán necesarios más estudios para corroborar estos hallazgos. [spa] Objective: To reach a consensus on an rapid multidimensional/geriatric assessment (RMGA) tool for all health and social professionals of Catalonia as a shared and universal system to assess patients with multimorbidities, frailty, complexity or advanced conditions. Design: Three-phase consensus of professionals, combining in-person sessions with telematics. Location: Catalonia. Participants: A group of 27 interdisciplinary professionals from different care settings. Method: The Design Thinking methodology for an initial consensus on the characteristics of the RMGA tool (Phase 1) has been combined with the Lean Startup methodology to create a new RMGA tool (Phase 2), and then tested in a group of patients (Phase 3). Results: In Phase 1, a consensus was reached that the perfect RMGA tool should allow for an ad hoc assessment of patients, be fast and flexible (<10 min), identify altered dimensions using trigger questions and facilitate the diagnosis of the condition (ideally quantified). In Phase 2, a prototype of a new RMGA tool containing 15 + 2 questions (VIG-Express) was developed, which was then tested in 35 patients in Phase 3. Conclusions: Based on preliminary results, the VIG-Express tool seems to facilitate a simple, rapid multidimensional assessment and the customization of interventions, as well as provide a unique look and shared narrative between professionals from different care settings. More studies will be required to corroborate these findings

Using illness trajectories to inform person-centred, advance care planning

What you need to know- Most patients with progressive illness follow characteristic trajectories of decline, previously identified as rapid, intermittent, or a gradual decline from a low baseline- Multimorbidity is increasingly common and follows a distinct fourth trajectory- An understanding of the dynamic multidimensional trajectories of patients with progressive illnesses helps clinicians consider individual holistic needs and have meaningful conversations with patients and families about advance care planning- In patients with an acute deterioration in health (such as from an infection), considering the main underlying illness trajectory helps guide shared decision making about realistic current and future treatment and care option

Reliability, validity and feasibility of the frail-vig index

The study aimed to assess the reliability of the scores, evidence of validity, and feasibility of the Frail-VIG index. A validation study mixing hospitalized and community-dwelling older people was designed. Intraclass correlation coefficient (ICC) was used to assess the inter-rater agreement and the reliability. The construct validity of the Frail-VIG index with respect to the Frailty Phenotype (FP) was evaluated by calculating the area under the receiver operating characteristic curve (AUC-ROC). Convergent validity with the Clinical Frailty Scale (CFS) was assessed using Pearson's correlation coefficients. The feasibility was evaluated by calculating the average time required to administer the Frail-VIG index and the percentage of unanswered responses. A sample of 527 older people (mean age of 81.61, 56.2% female) was included. The inter-rater agreement and test-retest reliability were very strong: 0.941 (95% CI, 0.890 to 0.969) and 0.976 (95% CI, 0.958 to 0.986), respectively. Results indicated adequate convergent validity of the Frail-VIG index with respect to the FP, AUC-ROC 0.704 (95% CI, 0.622 to 0.786), and a moderate to strong positive correlation between the Frail-VIG index and CFS (r = 0.635, 95% CI, 0.54 to 0.71). The Frail-VIG index administration required an average of 5.01 min, with only 0.34% of unanswered responses. The Frail-VIG index is a reliable, feasible, and valid instrument to assess the degree of frailty in hospitalized and community-dwelling older people

Convergent and discriminative validity of the Frail-VIG index with the EQ-5D-3L in people cared for in primary health care

Background The Frail-VIG frailty index has been developed recently. It is an instrument with a multidimensional approach and a pragmatic purpose that allows rapid and efficient assessment of the degree of frailty in the context of clinical practice. Our aim was to investigate the convergent and discriminative validity of the Frail-VIG frailty index with regard to EQ-5D-3L value. Methods We carried out a cross-sectional study in two Primary Health Care (PHC) centres of the Catalan Institute of Health (Institut Català de la Salut), Barcelona (Spain) from February 2017 to January 2019. Participants in the study were all people included under a home care programme during the study period. No exclusion criteria were applied. We used the EQ-5D-3L to measure Health-Related Quality of Life (HRQoL) and the Frail-VIG index to measure frailty. Trained PHC nurses administered both instruments during face-to-face assessments in a participant's home during usual care. The relationships between both instruments were examined using Pearson's correlation coefficient and multiple linear regression analyses. Results Four hundred and twelve participants were included in this study. Frail-VIG score and EQ-5D-3L value were negatively correlated (r = − 0.510; P < 0.001). Non-frail people reported a substantially better HRQoL than people with moderate and severe frailty. EQ-5D-3L value declined significantly as the Frail-VIG index score increased. Conclusions Frail-VIG index demonstrated a convergent validity with the EQ-5D-3L value. Its discriminative validity was optimal, as their scores showed an excellent capacity to differentiate between people with better and worse HRQoL. These findings provide additional pieces of evidence for construct validity of the Frail-VIG index

High-Performance Compression of Multibeam Echosounders Water Column Data

Over the last few decades, multibeam echosounders (MBES) have become the dominant technique to efficiently and accurately map the seafloor. They now allow to collect water column acoustic images along with the bathymetry, which is providing a wealth of new possibilities in oceans exploration. However, water column imagery generates vast amounts of data that poses obvious logistic, economic, and technical challenges. Surprisingly, very few studies have addressed this problem by providing efficient lossless or lossy data compression solutions. Currently, the available options are only lossless, providing low compression ratios at low speeds. In this paper, we adapt a data compression algorithm, the Fully Adaptive Prediction Error Coder (FAPEC), which was created to offer outstanding performance under the strong requirements of space data transmission. We have added to this entropy coder a specific pre-processing stage tailored to theKongsbergMaritime water column file formats. Here, we test it on data acquired with Kongsberg MBES models EM302, EM710, andEM2040.With this bespoke pre-processing, FAPEC provides good lossless compression ratios at high speeds, whereas lossy ratios reach water column file sizes even smaller than bathymetry raw files still with good image quality. We show the advantages over other lossless compression solutions, both in terms of compression ratios and speed.We illustrate the quality of water column images after lossy FAPEC compression, as well as its resilience to datagram errors and its potential for automatic detection of water column targets. We also show the successful integration in ARM microprocessors (like those used by smartphones and also by autonomous underwater vehicles), which provides a real-time solution for MBES water column data compression

Excess mortality among older adults institutionalized in long-term care facilities during the COVID-19 pandemic: a population-based analysis in Catalonia

ObjectivesTo assess excess mortality among older adults institutionalized in nursing homes within the successive waves of the COVID-19 pandemic in Catalonia (north-east Spain).DesignObservational, retrospective analysis of population-based central healthcare registries.Setting and participantsIndividuals aged &gt;65 years admitted in any nursing home in Catalonia between January 1, 2015, and April 1, 2022.MethodsDeaths reported during the pre-pandemic period (2015–2019) were used to build a reference model for mortality trends (a Poisson model, due to the event counting nature of the variable “mortality”), adjusted by age, sex, and clinical complexity, defined according to the adjusted morbidity groups. Excess mortality was estimated by comparing the observed and model-based expected mortality during the pandemic period (2020–2022). Besides the crude excess mortality, we estimated the standardized mortality rate (SMR) as the ratio of weekly deaths’ number observed to the expected deaths’ number over the same period.ResultsThe analysis included 175,497 older adults institutionalized (mean 262 days, SD 132), yielding a total of 394,134 person-years: 288,948 person-years within the reference period (2015–2019) and 105,186 within the COVID-19 period (2020–2022). Excess number of deaths in this population was 5,403 in the first wave and 1,313, 111, −182, 498, and 329 in the successive waves. The first wave on March 2020 showed the highest SMR (2.50; 95% CI 2.45–2.56). The corresponding SMR for the 2nd to 6th waves were 1.31 (1.27–1.34), 1.03 (1.00–1.07), 0.93 (0.89–0.97), 1.13 (1.10–1.17), and 1.07 (1.04–1.09). The number of excess deaths following the first wave ranged from 1,313 (2nd wave) to −182 (4th wave). Excess mortality showed similar trends for men and women. Older adults and those with higher comorbidity burden account for higher number of deaths, albeit lower SMRs.ConclusionExcess mortality analysis suggest a higher death toll of the COVID-19 crisis in nursing homes than in other settings. Although crude mortality rates were far higher among older adults and those at higher health risk, younger individuals showed persistently higher SMR, indicating an important death toll of the COVID-19 in these groups of people

Docencia e investigación: ¿un falso dilema?

Postprint (published version

The challenge of clinical complexity in the 21st century: could Frailty Indexes be the answer?

The number of older people with complex clinical conditions and complex care needs continues to increase in the population. This is presenting many challenges to healthcare professionals and healthcare systems. In the face of these challenges, approaches are required that are practical and feasible. The frailty paradigm may be an excellent opportunity to review and establish some of the principles of comprehensive Geriatric Assessment in specialties outside Geriatric Medicine. The assessment of frailty using Frailty Indexes provides an aid to the 'situational diagnosis' of complex clinical situations, and may help in tackling uncertainty in a person-centred approach.This is the author accepted manuscript. The final version is available from Elsevier via http://dx.doi.org/10.1016/j.regg.2016.07.00

Profiles of Frailty among Older People Users of a Home-Based Primary Care Service in an Urban Area of Barcelona (Spain): An Observational Study and Cluster Analysis

Background: The multidimensional assessment of frailty allows stratifying it into degrees; however, there is still heterogeneity in the characteristics of people in each stratum. The aim of this study was to identify frailty profiles of older people users of a home-based primary care service. Methods: We carried out an observational study from January 2018 to January 2021. Participants were all people cared for a home-based primary care service. We performed a cluster analysis by applying a k-means clustering technique. Cluster labeling was determined with the 22 variables of the Frail-VIG index, age, and sex. We computed multiple indexes to assess the optimal number of clusters, and this was selected based on a clinical assessment of the best options. Results: Four hundred and twelve participants were clustered into six profiles. Three of these profiles corresponded to a moderate frailty degree, two to a severe frailty degree and one to a mild frailty degree. In addition, almost 75% of the participants were clustered into three profiles which corresponded to mild and moderate degree of frailty. Conclusions: Different profiles were found within the same degree of frailty. Knowledge of these profiles can be useful in developing strategies tailored to these differentiated care needs

Excess mortality among older adults institutionalized in long-term care facilities during the COVID-19 pandemic: a population-based analysis in Catalonia

Objectives: To assess excess mortality among older adults institutionalized in nursing homes within the successive waves of the COVID-19 pandemic in Catalonia (north-east Spain).Design: Observational, retrospective analysis of population-based central healthcare registries.Setting and participants: Individuals aged >65 years admitted in any nursing home in Catalonia between January 1, 2015, and April 1, 2022.Methods Deaths reported during the pre-pandemic period (2015-2019) were used to build a reference model for mortality trends (a Poisson model, due to the event counting nature of the variable mortality), adjusted by age, sex, and clinical complexity, defined according to the adjusted morbidity groups. Excess mortality was estimated by comparing the observed and model-based expected mortality during the pandemic period (2020-2022). Besides the crude excess mortality, we estimated the standardized mortality rate (SMR) as the ratio of weekly deaths' number observed to the expected deaths' number over the same period.Results: The analysis included 175,497 older adults institutionalized (mean 262 days, SD 132), yielding a total of 394,134 person-years: 288,948 person-years within the reference period (2015-2019) and 105,186 within the COVID-19 period (2020-2022). Excess number of deaths in this population was 5,403 in the first wave and 1,313, 111, -182, 498, and 329 in the successive waves. The first wave on March 2020 showed the highest SMR (2.50; 95% CI 2.45-2.56). The corresponding SMR for the 2nd to 6th waves were 1.31 (1.27-1.34), 1.03 (1.00-1.07), 0.93 (0.89-0.97), 1.13 (1.10-1.17), and 1.07 (1.04-1.09). The number of excess deaths following the first wave ranged from 1,313 (2nd wave) to -182 (4th wave). Excess mortality showed similar trends for men and women. Older adults and those with higher comorbidity burden account for higher number of deaths, albeit lower SMRs.Conclusion: Excess mortality analysis suggest a higher death toll of the COVID-19 crisis in nursing homes than in other settings. Although crude mortality rates were far higher among older adults and those at higher health risk, younger individuals showed persistently higher SMR, indicating an important death toll of the COVID-19 in these groups of people