Evidence map›Paper›PMID 29618334›Full record

ArticleBMC geriatrics2018

The frail older person does not exist: development of frailty profiles with latent class analysis.

W M Looman, I N Fabbricotti, J W Blom, A P D Jansen, J E Lutomski, S F Metzelthin, R Huijsman, TOPICS-MDS Research Consortium

Abstract read
In one paragraph

Article in BMC geriatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

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  12. Heterogeneity of vulnerability and taste changes in older cancer patients undergoing chemotherapy: a latent class analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

W M LoomanErasmus School of Health Policy & Management, Erasmus University Rotterdam, PO Box 2040, 3000, CA, Rotterdam, The Netherlands. looman@eshpm.eur.nl.
I N FabbricottiErasmus School of Health Policy & Management, Erasmus University Rotterdam, PO Box 2040, 3000, CA, Rotterdam, The Netherlands.
J W BlomDepartment of Public Health and Primary Care, Leiden University Medical Center, PO Box 9600, 2300, RC, Leiden, The Netherlands.
A P D JansenDepartment of General Practice and Elderly Care Medicine, Amsterdam Public Health research Institute, VU University Medical Center, PO Box 7057, 1007, MB, Amsterdam, The Netherlands.
J E LutomskiRadboud Biobank, Radboud University Medical Center, Geert Grooteplein 10, 6525, GA, Nijmegen, The Netherlands.
S F MetzelthinDepartment of Health Services Research, Care and Public Health Research Institute (CAPHRI), Maastricht University, PO Box 616, 6200, MD, Maastricht, The Netherlands.
R HuijsmanErasmus School of Health Policy & Management, Erasmus University Rotterdam, PO Box 2040, 3000, CA, Rotterdam, The Netherlands.
TOPICS-MDS Research Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA fundamental issue in elderly care is targeting those older people at risk and in need of care interventions. Frailty is widely used to capture variations in health risks but there is no general consensus on the conceptualization of frailty. Indeed, there is considerable heterogeneity in the group of older people characterized as frail. This research identifies frailty profiles based on the physical, psychological, social and cognitive domains of functioning and the severity of the problems within these domains.

methodsThis research was a secondary data-analysis of older persons derived from The Older Person and Informal Caregiver Minimum Dataset. Selected respondents were 60 years and older (n = 43,704; 59.6% female). The following variables were included: self-reported health, cognitive functioning, social functioning, mental health, morbidity status, and functional limitations. Using latent class analysis, the population was divided in subpopulations that were subsequently discussed in a focus group with older people for further validation.

resultsWe distinguished six frailty profiles: relatively healthy; mild physically frail; psychologically frail; severe physically frail; medically frail and multi-frail. The relatively healthy had limited problems across all domains. In three profiles older people mostly had singular problems in either the physical or psychological domain and the severity of the problems differed. Two remaining profiles were multidimensional with a combination of problems that extended to the social and cognitive domains.

conclusionsOur research provides an empirical base for meaningful frailty profiles. The profiles showed specific patterns underlying the problems in different domains of functioning. The heterogeneous population of frail older people has differing needs and faces different health issues that should be considered to tailor care interventions. Evaluation research of these interventions should acknowledge the heterogeneity of frailty by profiling.

Indexed as

Health StatusMental HealthAgedAged, 80 and overCognitionFemaleFrail ElderlyFrailtyGeriatric AssessmentHumansLatent Class AnalysisMaleMorbiditySelf ReportFrailtyLatent class analysisOlder peopleProfiles

Identifiers

PMID29618334
PMCPMC5885355

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.