Tracking personalized functional health in older adults using geriatric assessments

Prediction models for the prediction of unplanned hospital admissions in community-dwelling older adults: A systematic review

Background

Identification of community-dwelling older adults at risk of unplanned hospitalizations is of importance to facilitate preventive interventions. Our objective was to review and appraise the methodological quality and predictive performance of prediction models for predicting unplanned hospitalizations in community-dwelling older adults

Methods and findings

We searched MEDLINE, EMBASE and CINAHL from August 2013 to January 2021. Additionally, we checked references of the identified articles for the inclusion of relevant publications and added studies from two previous reviews that fulfilled the eligibility criteria. We included prospective and retrospective studies with any follow-up period that recruited adults aged 65 and over and developed a prediction model predicting unplanned hospitalizations. We included models with at least one (internal or external) validation cohort. The models had to be intended to be used in a primary care setting. Two authors independently assessed studies for inclusion and undertook data extraction following recommendations of the CHARMS checklist, while quality assessment was performed using the PROBAST tool. A total of 19 studies met the inclusion criteria. Prediction horizon ranged from 4.5 months to 4 years. Most frequently included variables were specific medical diagnoses (n = 11), previous hospital admission (n = 11), age (n = 11), and sex or gender (n = 8). Predictive performance in terms of area under the curve ranged from 0.61 to 0.78. Models developed to predict potentially preventable hospitalizations tended to have better predictive performance than models predicting hospitalizations in general. Overall, risk of bias was high, predominantly in the analysis domain.

Conclusions

Models developed to predict preventable hospitalizations tended to have better predictive performance than models to predict all-cause hospitalizations. There is however substantial room for improvement on the reporting and analysis of studies. We recommend better adherence to the TRIPOD guidelines.

The Relevance and Added Value of Geriatric Medicine (GM): Introducing GM to Non-Geriatricians

Geriatric Medicine (GM) holds a crucial role in promoting health and managing the complex medical, cognitive, social, and psychological issues of older people. However, basic principles of GM, essential for optimizing the care of older people, are commonly unknown or undermined, especially in countries where GM is still under development. This narrative review aims at providing insights into the role of GM to non-geriatrician readers and summarizing the main aspects of the added value of a geriatric approach across the spectrum of healthcare. Health practitioners of all specialties are frequently encountered with clinical conditions, common in older patients (such as cancer, hypertension, delirium, major neurocognitive and mental health disorders, malnutrition, and peri-operative complications), which could be more appropriately managed under the light of the approach of GM. The role of allied health professionals with specialized knowledge and skills in dealing with older people's issues is essential, and a multidisciplinary team is required for the delivery of optimal care in response to the needs and aspirations of older people. Thus, countries should assure the educational background of all health care providers and the specialized health and social care services required to meet the demands of a rapidly aging society.

Comprehensive Geriatric Assessment Using the Yoitoko Check-Up, a Novel Health Check-Up Providing Positive Feedback to Older Adults: A Before-After Study

Purpose

The Yoitoko check-up, a novel health check-up providing positive feedback, has been developed to promote health among older adults, and consists of several comprehensive geriatric assessment items. This report aimed to describe the details of the Yoitoko check-up and to explore the future possibility of the check-up by evaluating the participants’ short-term behavioral changes in terms of comprehensive functioning, using a before-after study design.

Patients and Methods

Four Yoitoko check-ups were conducted, at 3-month intervals, between December 2018 and September 2019. Study participants aged ≥65 years included those who had undergone ≥2 Yoitoko check-ups. The results of each visit after the second check-ups were retrospectively compared with those of the baseline, and the mean changes and the odds ratios were calculated using a paired t-test or a McNemar test, respectively.

Results

Of 84 participants, the results of 16 (19.0%) participants were analyzed. The mean (standard deviation) age was 75.3 (4.7) years. The mean Tokyo Metropolitan Institute of Gerontology Index of Competence score, a measure of high-level functional capacity, increased 0.9 (95% confidence interval; range, 0.2–1.5) points between the first and second visits.

Conclusion

We developed the Yoitoko check-up and introduced the details of it. Our study findings suggested that the Yoitoko check-up may further motivate older adults to improve their health and promote positive behavioral changes. Future studies are needed to evaluate the effectiveness of this novel assessment method.