AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |
Back to Blog
Patina medical group1/13/2024 Only a few studies have focused on prediction models solely based on home care data, and very few studies have implemented and tested a prediction model in practice, mainly due to ethical and economic considerations, barriers among professionals, such as trust in the technology, and the fact that data on health and care is registered primarily for the use and support for health professionals, not for input to algorithms. Most models are based on data from electronic hospital records and many have been found effective in predicting risk of acute admissions. However, only half of the models were targeted older citizens, and in addition, the predictive models in general required large administrative or clinical data sets, which were analyzed retrospectively. A systematic review from 2014 identified 27 prediction models for acute admissions. Prediction models using data from electronic health records to identify those in the highest risk of acute hospitalization have been increasingly studied. In addition, atypical presentation of symptoms may delay timely diagnosis, which is why novel predictive tools are needed for timely recognition of older citizens at increased risk of acute disease and subsequent acute hospitalization. However, early recognition of disease is hampered by diagnostic challenges following older citizens’ higher prevalence of multimorbidity, polypharmacy, functional impairment, and social issues, which altogether yield complex interactions and increases the risk of mismanagement. Prevention of acute admission is therefore exceptionally important in higher age groups, but requires timely detection of disease symptoms, functional and mental deterioration and health care interventions. In older citizens acute hospitalization can be highly necessary and lifesaving, but may also lead to adverse consequences, such as hospital-acquired infections, anxiety and distress, poorer functional health, and death. It is a global concern that even highly effective health care systems will struggle with meeting the demands of ageing populations, as higher age is associated with multimorbidity, health deterioration with functional decline, and subsequent increased utilization of health care services. The challenges imposed by demographic changes will confront health care systems in the years to come. The Creative Commons Public Domain Dedication waiver ( ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. ![]() The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
0 Comments
Read More
Leave a Reply. |