AMPI-AB validity and reliability: a multidimensional tool in resource-limited primary care settings

Prediction models for functional status in community dwelling older adults: a systematic review

Background

Disability poses a burden for older persons, and is associated with poor outcomes and high societal costs. Prediction models could potentially identify persons who are at risk for disability. An up to date review of such models is missing.

Objective

To identify models developed for the prediction of functional status in community dwelling older persons.

Methods

A systematic review was performed including studies of older persons that developed and/or validated prediction models for the outcome functional status. Medline and EMBASE were searched, and reference lists and prospective citations were screened for additional references. Risk of bias was assessed using the PROBAST-tool. The performance of models was described and summarized, and the use of predictors was collated using the bag-of-words text mining procedure.

Results

Forty-three studies were included and reported 167 evaluations of prediction models. The median c-statistic values for the multivariable development models ranged between 0.65 and 0.76 (minimum = 0.58, maximum = 0.90), and were consistently higher than the values of the validation models for which median c-statistic values ranged between 0.6 and 0.68 (minimum = 0.50, maximum = 0.81). A total of 559 predictors were used in the models. The five predictors most frequently used were gait speed (n = 47), age (n = 38), cognition (n = 27), frailty (n = 24), and gender (n = 22).

Conclusions

No model can be recommended for implementation in practice. However, frailty models appear to be the most promising, because frailty components (e.g. gait speed) and frailty indexes demonstrated good to excellent predictive performance. However, the risk of study bias was high. Substantial improvements can be made in the methodology.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03156-7.

Teaching geriatrics during the COVID-19 pandemic: experience of a brazilian medical school

INTRODUCTION: During the COVID-19 pandemic, the discipline of geriatrics at the Santa Casa de Sao Paulo School of Medical Sciences of São Paulo was adapted to a web-based learning environment due to social distancing measures. OBJECTIVE: To describe the full adaptation of the discipline of geriatrics to a web-based learning tool, of two activities that were developed including the current COVID-19 to illustrate some of the main concepts of geriatric medicine. METHODS: The course was fully adapted to the open-source course management system called MOODLE. The first activity was a COVID-19 clinical case discussion, whose main objective was to include COVID-19 in the content of our course, illustrating some of the main concepts of geriatrics. The second activity was a Comprehensive Geriatric Assessment (CGA) experience, done via videoconference, which also assessed the impact of social distancing measures on the health of older adults. RESULTS: A total of 43 medical students performed both activities, and 95% of the students considered the inclusion of the COVID-19 into the discipline of geriatrics useful, 88% approved the practical experience of CGA, and 84% felt that they contributed to the health of the interviewees after contact. CONCLUSION: Adapting our discipline to a web-based learning tool, while including the current COVID-19 in our course content and a practical experience of CGA via videoconference was possible and approved by students. The adoption of this initiative may not only be an academic strategy, but also a possible way to improve the quality of life of older people during the COVID-19 pandemic.