Evidence map›Paper›PMID 39208780›Full record

ArticleDementia and geriatric cognitive disorders2025

Profiles of Met and Unmet Care Needs in the Oldest Old Primary Care Patients with Cognitive Disorders and Dementia: Results of the AgeCoDe and AgeQualiDe Study.

Sophia Kraake, Alexander Pabst, Horst Bickel, Michael Pentzek, Angela Fuchs, Birgitt Wiese, Anke Oey, Hans-Helmut König, Christian Brettschneider, Martin Scherer and 9 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Dementia and geriatric cognitive disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Sophia KraakeInstitute of Social Medicine, Occupational Health und Public Health, Medical Faculty, University of Leipzig, Leipzig, Germany.
Alexander PabstInstitute of Social Medicine, Occupational Health und Public Health, Medical Faculty, University of Leipzig, Leipzig, Germany.
Horst BickelDepartment of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Michael PentzekInstitute of General Practice, Family Medicine (ifam), Primary Care Research Group, Medical Faculty, University of Duisburg-Essen, Essen, Germany.
Angela FuchsInstitute of General Practice (ifam), Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Birgitt WieseInstitute for General Practice, Working Group Medical Statistics and IT-Infrastructure, Hannover Medical School, Hannover, Germany.
Anke OeyInstitute for General Practice, Working Group Medical Statistics and IT-Infrastructure, Hannover Medical School, Hannover, Germany.
Hans-Helmut KönigDepartment of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany.
Christian BrettschneiderDepartment of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany.
Martin SchererDepartment of General Practice and Primary Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany.
Tina MallonDepartment of General Practice and Primary Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany.
Dagmar LühmannDepartment of General Practice and Primary Care, Center for Psychosocial Medicine, University Medical Center Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany.
Wolfgang MaierDepartment of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany.
Michael WagnerDepartment of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany.
Kathrin HeserGerman Center for Neurodegenerative Diseases Within the Helmholtz Association (DZNE), Bonn, Germany.
Siegfried WeyererCentral Institute of Mental Health, Medical Faculty, Mannheim/Heidelberg University, Mannheim, Germany.
Jochen WerleCentral Institute of Mental Health, Medical Faculty, Mannheim/Heidelberg University, Mannheim, Germany.
Steffi G Riedel-HellerInstitute of Social Medicine, Occupational Health und Public Health, Medical Faculty, University of Leipzig, Leipzig, Germany.
Janine SteinInstitute of Social Medicine, Occupational Health und Public Health, Medical Faculty, University of Leipzig, Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe prevalence of mild cognitive impairment (MCI) and dementia is increasing as the oldest old population grows, requiring a nuanced understanding of their care needs. Few studies have examined need profiles of oldest old patients with MCI or dementia. Therefore, this study aimed to identify patients' need profiles.

methodsThe data analysis included cross-sectional baseline data from N = 716 primary care patients without cognitive impairment (n = 575), with MCI (n = 97), and with dementia (n = 44) aged 85+ years from the multicenter cohort AgeQualiDe study "needs, health service use, costs and health-related quality of life in a large sample of oldest old primary care patients [85+]". Patients' needs were assessed using the Camberwell Assessment of Needs for the Elderly (CANE), and latent class analysis identified need profiles. Multinomial logistic regression analyzed the association of MCI and dementia with need profiles, adjusting for sociodemographic factors, social network (Lubben Social Network Scale [LSNS-6]), and frailty (Canadian Study of Health and Aging-Clinical Frailty Scale [CSHA-CFS]).

resultsResults indicated three profiles: "no needs," "met physical and environmental needs," and "unmet physical and environmental needs." MCI was associated with the met and unmet physical and environmental needs profiles; dementia was associated with the unmet physical and environmental needs profile. Patients without MCI or dementia had larger social networks (LSNS-6). Frailty was associated with dementia.

conclusionsIntegrated care should address the needs of the oldest old and support social networks for people with MCI or dementia. Assessing frailty can help clinicians to identify the most vulnerable patients and develop beneficial interventions for cognitive disorders.

introductionThe prevalence of mild cognitive impairment (MCI) and dementia is increasing as the oldest old population grows, requiring a nuanced understanding of their care needs. Few studies have examined need profiles of oldest old patients with MCI or dementia. Therefore, this study aimed to identify patients' need profiles.

methodsThe data analysis included cross-sectional baseline data from N = 716 primary care patients without cognitive impairment (n = 575), with MCI (n = 97), and with dementia (n = 44) aged 85+ years from the multicenter cohort AgeQualiDe study "needs, health service use, costs and health-related quality of life in a large sample of oldest old primary care patients [85+]". Patients' needs were assessed using the Camberwell Assessment of Needs for the Elderly (CANE), and latent class analysis identified need profiles. Multinomial logistic regression analyzed the association of MCI and dementia with need profiles, adjusting for sociodemographic factors, social network (Lubben Social Network Scale [LSNS-6]), and frailty (Canadian Study of Health and Aging-Clinical Frailty Scale [CSHA-CFS]).

resultsResults indicated three profiles: "no needs," "met physical and environmental needs," and "unmet physical and environmental needs." MCI was associated with the met and unmet physical and environmental needs profiles; dementia was associated with the unmet physical and environmental needs profile. Patients without MCI or dementia had larger social networks (LSNS-6). Frailty was associated with dementia.

conclusionsIntegrated care should address the needs of the oldest old and support social networks for people with MCI or dementia. Assessing frailty can help clinicians to identify the most vulnerable patients and develop beneficial interventions for cognitive disorders.

Indexed as

Cognitive DysfunctionDementiaHealth Services Needs and DemandNeeds AssessmentPrimary Health CareAged, 80 and overCanadaCross-Sectional StudiesFemaleHumansMaleQuality of LifeCamberwell Assessment of Needs for the ElderlyDementiaLatent class analysisNeed profilesOldest old population

Identifiers

PMID39208780
PMCPMC11965832

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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.