Cited by 120Dementia and Cognitive Impairment ResearchGeriatric Care and Nursing HomesPalliative Care and End-of-Life Issues

The DOI matches its Crossref record; 96 of the 96 references it cites were found in a registry or an index.

Predictors of Institutionalization of Dementia Patients in Mild and Moderate Stages: A 4-Year Prospective Analysis

Open access
Eska, Kathrin, Graessel, Elmar, Donath, Carolin, Schwarzkopf, Larissa, Lauterberg, Joerg, Holle, Rolf·2013·Dementia and Geriatric Cognitive Disorders Extra

Abstract

Background: Institutionalization is the most important milestone in the care of dementia patients. This study was aimed at identifying relevant predictors of institutionalization in a broad empirical context and interpreting them on the basis of the predictor model proposed by Luppa et al. [Dement Geriatr Cogn Disord 2008;26:65-78]. Methods: At the start of this study, 357 patients with mild to moderate dementia were examined by their general practitioners, and a telephone interview was conducted with their caregivers. Four years later, the outcomes ‘institutionalization' and ‘death' were determined from health insurance data. Forty-one variables were examined for their predictive influence by univariate and multivariate Cox regression. Results: The risk of institutionalization increased significantly (p ≤ 0.05) with older ages of patients [hazard ratio (HR) = 1.05] and caregivers (HR = 1.03), a higher educational level of the caregiver (HR = 1.83), greater use of community health services (HR = 1.59), greater caregiver burden (HR = 1.02), and when the caregiver and patient lived apart (HR = 1.97). Conclusion: The results show that there is a multifactorial influence on institutionalization of dementia patients by sociodemographic, health-related, and psychological aspects as well as the care situation, thus validating the predictor model by Luppa et al. [Dement Geriatr Cogn Disord 2008;26:65-78]. Caregiver burden was found to be the strongest predictor accessible to interventions.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1159/000355079

Cites

96 of 96 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig. 1 Capital letters represent variables in the model by Luppa et al. [49]. Variables in our study are in parentheses (…), 39 variables are shown (the adjustment variables study arm B and C are excluded). Significant predictors from our multivariate analysis are given in bold. Some variables cannot be assigned to the predictor model by Luppa et al. [49]: EQ-5D (P), Incalzi Comorbidity Index, antidementia drugs, psychopharmaceutical drugs, and nonpharmacological therapy. Black boxes contain suggestions for modifications of the model by Luppa et al. [49]. Arrows indicate shifts within the modifications. P = Patient; CG = caregiver.
Fig. 1 Capital letters represent variables in the model by Luppa et al. [49]. Variables in our study are in parentheses (…), 39 variables are shown (the adjustment variables study arm B and C are excluded). Significant predictors from our multivariate analysis are given in bold. Some variables cannot be assigned to the predictor model by Luppa et al. [49]: EQ-5D (P), Incalzi Comorbidity Index, antidementia drugs, psychopharmaceutical drugs, and nonpharmacological therapy. Black boxes contain suggestions for modifications of the model by Luppa et al. [49]. Arrows indicate shifts within the modifications. P = Patient; CG = caregiver.CC BY-NC · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 96 references

Cited by

Sorted by citations

Items 101–120 of 120

Metadata

Authors
Eska, K., Graessel, E., Donath, C., Schwarzkopf, L., Lauterberg, J., & Holle, R.
Affiliations
  • Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
  • Helmholtz Munich (DE)
  • Institute for Quality and Efficiency in Health Care (DE)
Corresponding author
Eska, Kathrin
Venue
Dementia and Geriatric Cognitive Disorders Extra
Publisher
S. Karger AG
Published
2013-11-01
Volume
3
Issue
1
Pages
426-445
ISSN
1664-5464 (ISSN-L)
OpenAlex
W2035225376
Cited by
119
References
96
Citations by year
2026: 4 · 2025: 6 · 2024: 10 · 2023: 8 · 2022: 8 · 2021: 25 · 2020: 7 · 2019: 11 · 2018: 9 · 2017: 11 · 2016: 9 · 2015: 5 · 2014: 6
FWCI
4.74
Type
journal article
Language
en
Open access
Locations
  • Dementia and Geriatric Cognitive Disorders Extra (publishedVersion, cc-by-nc)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Site cant be reached (submittedVersion, cc-by-nc)
  • OPUS FAU (Kooperativer Bibliotheksverbund Berlin-Brandenburg (KOBV), on behalf of the Universitätsbibliothek Erlangen-Nürnberg) (submittedVersion, cc-by-nc-nd)
Funders
  • Pfizer
  • Deutsche Forschungsgemeinschaft
  • Eisai
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Geriatrics and Gerontology › Geriatric Care and Nursing Homes
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Palliative Care and End-of-Life Issues
Keywords
dementia, institutionalization, predictors of institutionalization, mild to moderate dementia, caregiver burden, community-based care, risk factors

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review