Preserving the discreteness of deficits during coding leads to a lower frailty index in individuals living in long-term care

Greeley, Brian; Low, Hilary; Kelly, Ronald; McDermid, Robert C.; Song, Xiaowei

doi:10.1016/j.mad.2023.111851

Cited by 4 publications

(1 citation statement)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Yet, the phenotype model requires grip strength and walking speed, measures that cannot be easily tested and may not be safe for many older adults to complete in their own homes. A methodological consensus regarding the definition of a frailty index, the variables that comprise it, and how they are scored has been encouraged [ 44-46 ].…”

Section: Users Want To Complete a Frailty Assessment Quicklymentioning

confidence: 99%

Combating Barriers to the Development of a Patient-Oriented Frailty Website

Greeley,

Chung,

Graves

et al. 2024

JMIR Aging

Self Cite

View full text Add to dashboard Cite

This viewpoint article, which represents the opinions of the authors, discusses the barriers to developing a patient-oriented frailty website and potential solutions. A patient-oriented frailty website is a health resource where community-dwelling older adults can navigate to and answer a series of health-related questions to receive a frailty score and health summary. This information could then be shared with health care professionals to help with the understanding of health status prior to acute illness, as well as to screen and identify older adult individuals for frailty. Our viewpoints were drawn from 2 discussion sessions that included caregivers and care providers, as well as community-dwelling older adults. We found that barriers to a patient-oriented frailty website include, but are not limited to, its inherent restrictiveness to frail persons, concerns over data privacy, time commitment worries, and the need for health and lifestyle resources in addition to an assessment summary. For each barrier, we discuss potential solutions and caveats to those solutions, including assistance from caregivers, hosting the website on a trusted source, reducing the number of health questions that need to be answered, and providing resources tailored to each users’ responses, respectively. In addition to screening and identifying frail older adults, a patient-oriented frailty website will help promote healthy aging in nonfrail adults, encourage aging in place, support real-time monitoring, and enable personalized and preventative care.

show abstract

Section: Users Want To Complete a Frailty Assessment Quicklymentioning

confidence: 99%

Combating Barriers to the Development of a Patient-Oriented Frailty Website

Greeley,

Chung,

Graves

et al. 2024

JMIR Aging

Self Cite

View full text Add to dashboard Cite

show abstract

Short-term Frailty Index Fluctuations in Older Adults: Noise or Signal?

Stolz,

Schultz,

Hoogendijk

et al. 2024

The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences

View full text Add to dashboard Cite

Background Reversible short-term fluctuations in the frailty index (FI) are often thought of as representing only noise or error. Here, we assess (1) size and source of short-term FI fluctuations, (2) variation across socio-demographics, (3) association with chronic diseases, (4) correlation with age, frailty level, frailty change, and mortality, and (5) whether fluctuations reflect discrete health transitions. Methods Nationwide, biweekly longitudinal data from 426 community-dwelling older adults (70+) were collected in the FRequent health Assessment In Later life (FRAIL70+) study using a measurement burst design (5,122 repeated observations, median of 13 repeated observations per person). We calculated the intraindividual standard deviation (iSD) of the FI and used location-scale mixed regression models. Results Mean iSD was 0.04 (SD=0.03). Fluctuations were driven foremost by cognitive problems, somatic symptoms, and limitations in instrumental and mobility-related activities of daily living. Short-term fluctuations correlated with higher FI levels (r=0.62), one-year FI change (r=0.26), and older age (+3% per year). Older adults who took to bed due to a health problem (+50%), those who had an overnight hospital stay (+50%), and those who died during follow-up (+44%) exhibited more FI fluctuations. Conclusions Short-term FI fluctuations were neither small nor random. Instead, as older adults become frailer, their measured health also becomes more unstable; hence short-term fluctuations in overall health status can be seen as a concomitant phenomenon of the aging process. Researchers and clinicians should be aware of existence of reversible fluctuations in the FI over weeks and months and its consequences for frailty monitoring.

show abstract

Short-term frailty index fluctuations in older adults: Noise or signal?

Stolz,

Schultz,

Hoogendijk

et al. 2024

Preprint

View full text Add to dashboard Cite

Background: Reversible short-term fluctuations in the frailty index (FI) are often thought of as representing only noise or error. Here, we assess (1) size and source of short-term FI fluctuations, (2) variation across socio-demographics, (3) association with chronic diseases, (4) correlation with age, frailty level, frailty change, and mortality, and (5) whether fluctuations reflect discrete health transitions. Methods: Nationwide, biweekly longitudinal data from 426 community-dwelling older adults (70+) were collected in the FRequent health Assessment In Later life (FRAIL70+) study using a measurement burst design (5,122 repeated observations, median of 13 repeated observations per person). We calculated the intraindividual standard deviation (iSD) of the FI and used location-scale mixed regression models. Results: Mean iSD was 0.04 (SD=0.03). Fluctuations were driven foremost by cognitive problems, somatic symptoms, and limitations in instrumental and mobility-related activities of daily living. Short-term fluctuations correlated with higher FI levels (r=0.62), one-year FI change (r=0.26), and older age (+3% per year). Older adults who took to bed due to a health problem (+50%), those who had an overnight hospital stay (+50%), and those who died during follow-up (+44%) exhibited more FI fluctuations. Conclusions: Short-term FI fluctuations were neither small nor random. Instead, as older adults become frailer, their measured health also becomes more unstable; hence short-term fluctuations in overall health status can be seen as a concomitant phenomenon of the aging process. Researchers and clinicians should be aware of existence of reversible fluctuations in the FI over weeks and months and its consequences for frailty monitoring.

show abstract

Preserving the discreteness of deficits during coding leads to a lower frailty index in individuals living in long-term care

Cited by 4 publications

References 26 publications

Combating Barriers to the Development of a Patient-Oriented Frailty Website

Combating Barriers to the Development of a Patient-Oriented Frailty Website

Short-term Frailty Index Fluctuations in Older Adults: Noise or Signal?

Short-term frailty index fluctuations in older adults: Noise or signal?

Contact Info

Product

Resources

About