LIVIVO - Search results -

Search results

Result 1 - 10 of total 67

Search options

Article: What If the Clinical and Older Adults' Perspectives about Frailty Converge? A Call for a Mixed Conceptual Model of Frailty: A Traditional Literature Review.

Khalil, Asya Hani / Gobbens, Robbert J J

2023 Volume 11, Issue 24

Abstract: Existing frailty models have enhanced research and practice; however, none of the models accounts for the perspective of older adults upon defining and operationalizing frailty. We aim to propose a mixed conceptual model that builds on the integral model ...

Abstract	Existing frailty models have enhanced research and practice; however, none of the models accounts for the perspective of older adults upon defining and operationalizing frailty. We aim to propose a mixed conceptual model that builds on the integral model while accounting for older adults' perceptions and lived experiences of frailty. We conducted a traditional literature review to address frailty attributes, risk factors, consequences, perceptions, and lived experiences of older adults with frailty. Frailty attributes are vulnerability/susceptibility, aging, dynamic, complex, physical, psychological, and social. Frailty perceptions and lived experience themes/subthemes are refusing frailty labeling, being labeled "by others" as compared to "self-labeling", from the perception of being frail towards acting as being frail, positive self-image, skepticism about frailty screening, communicating the term "frail", and negative and positive impacts and experiences of frailty. Frailty risk factors are classified into socio-demographic, biological, physical, psychological/cognitive, behavioral, and situational/environmental factors. The consequences of frailty affect the individual, the caregiver/family, the healthcare sector, and society. The mixed conceptual model of frailty consists of interacting risk factors, interacting attributes surrounded by the older adult's perception and lived experience, and interacting consequences at multiple levels. The mixed conceptual model provides a lens to qualify frailty in addition to quantifying it.
Language	English
Publishing date	2023-12-15
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2721009-1
ISSN	2227-9032
ISSN	2227-9032
DOI	10.3390/healthcare11243174
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

Article ; Online: 'They're not doing too much are they?' How the socialization of registered nurses perpetuates status differences with certified nursing assistants: A qualitative study.

van Wieringen, Marieke / Wendelgelst, Romée / Gobbens, Robbert J J

Nurse education today

2023 Volume 131, Page(s) 105984

Abstract: Background: Limited knowledge exists about how the socialization of vocationally trained registered nurses both at school and during internships in the community of practice influences their perception of, and working relationship with certified nursing ...

Abstract	Background: Limited knowledge exists about how the socialization of vocationally trained registered nurses both at school and during internships in the community of practice influences their perception of, and working relationship with certified nursing assistants. Objectives: This paper studies, first, how registered nurse students internalize the perceptions and discourses about certified nursing assistants conveyed by teachers, mentors and other students during their socialization at school and in the community of practice. Second, it examines how this socialization forms student's perception of, and actual working relationship with certified nursing assistants. Design: Qualitative descriptive and exploratory study using an interpretative framework. Methods: Individual in-depth interviews were conducted with 15 registered nurse students that were in their third or fourth year of training. Results: The findings reveal that at school the division of tasks and working relationship between registered nurse students and certified nursing assistants was very rarely discussed explicitly. However, teachers and students implicitly and explicitly conveyed that certified nursing assistants have lower status, describing the latter's role as inferior and as assisting to the role of registered nurses. During internships in the community of practice, some students initially adjust this perception when directly working with certified nursing assistants, who generally are their mentor in the first years of training, consider certified nursing assistants as equal and highlight the interdependence of the two occupational groups. Yet, further in their training, registered nurse students start to relate more to graduated registered nurses and reproduce the dominant perception and discourse that certified nursing assistants are inferior and supposed to support registered nurses, thereby perpetuating pervasive status differences and inequality. Conclusion: Findings will assist nurse educators both in training centers and in the community of practice to understand how education can be used to end pervasive status differences and foster mutual respect and equity between different designations in nursing.
MeSH term(s)	Humans ; Socialization ; Nursing Assistants ; Education, Nursing, Baccalaureate ; Qualitative Research ; Nurses
Language	English
Publishing date	2023-10-11
Publishing country	Scotland
Document type	Journal Article
ZDB-ID	1062570-7
ISSN	1532-2793 ; 0260-6917
ISSN (online)	1532-2793
ISSN	0260-6917
DOI	10.1016/j.nedt.2023.105984
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 3117: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Disability transitions in Dutch community-dwelling older people aged 75 years or older.

van der Ploeg, Tjeerd / Gobbens, Robbert J J

Archives of gerontology and geriatrics

2023 Volume 116, Page(s) 105165

Abstract: Background: Recent world population predictions show that the world population aged >=65 years will increase from 10% in 2022 to 16% in 2050. Population aging is accompanied by an increase in people with disability. It is important to pay special ... ...

Abstract	Background: Recent world population predictions show that the world population aged >=65 years will increase from 10% in 2022 to 16% in 2050. Population aging is accompanied by an increase in people with disability. It is important to pay special attention to people with disability, as these people are at high risk of adverse outcomes. Our study aimed to investigate the transitions of disability among Dutch community-dwelling older people aged 75 years or older, using a follow-up of nine years. We used socio-demographic factors gender, age, marital status, education, and income, but also lifestyle, diseases, and life events to predict the disability transitions over time. Methods: We used a sample of 484 people that was randomly drawn from the municipality of Roosendaal (the Netherlands), a municipality with 78,000 inhabitants. A subset of people who completed part A of the Tilburg Frailty Indicator (TFI) at baseline and the Groningen Activity Restriction Scale (GARS) questionnaires was used with a nine-year follow-up. Paired Wilcoxon tests were used to compare the consecutive measurements. Socio-demographic factors gender, age, marital status, education, and income, but also lifestyle, diseases, and life events were included to predict the disability transitions over time. For the univariable and multivariable analysis of the measurements over time with the predictor variables, we used generalized estimation equations (GEE). A p-value <0.05 was considered significant. R version 3.4.4 was used for all analyses. Results: Of the participants, 65% were younger than 80 years, 50% were married or cohabiting, 87% reported a healthy lifestyle, and 63% had no diseases or chronic disorders. Each year, more participants changed from status not disabled to disabled than vice versa. The GEE analyses showed that lifestyle ('not healthy') and diseases or chronic disorders ('two or more') were significant in the multivariable analysis for the disability score and only diseases or chronic disorders ('two or more') was significant in the multivariable analysis for the dichotomous disability score. Conclusions: The transition of the disability score is strongly influenced by lifestyle and diseases or disorders. This applies to a lesser extent to the dichotomous disability score. There, only diseases or disorders are an important predictor. For health care professionals our study provides starting points for interventions focused on the prevention of worsening disability and for community-dwelling older people >= 75, the most important recommendation is: live healthy!
MeSH term(s)	Aged ; Humans ; Independent Living ; Frail Elderly ; Geriatric Assessment ; Frailty ; Disabled Persons
Language	English
Publishing date	2023-08-23
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	603162-6
ISSN	1872-6976 ; 0167-4943
ISSN (online)	1872-6976
ISSN	0167-4943
DOI	10.1016/j.archger.2023.105165
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 1729: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Cross-sectional and Longitudinal Associations of Environmental Factors with Frailty and Disability in Older People.

Gobbens, Robbert J J

Archives of gerontology and geriatrics

2019 Volume 85, Page(s) 103901

Abstract: Purpose: To determine cross-sectional and longitudinal associations of environmental factors with frailty and disability.: Methods: This study was conducted in a sample of Dutch citizens. At baseline the sample consisted of 429 subjects (aged ≥ 65 ... ...

Abstract	Purpose: To determine cross-sectional and longitudinal associations of environmental factors with frailty and disability. Methods: This study was conducted in a sample of Dutch citizens. At baseline the sample consisted of 429 subjects (aged ≥ 65 years); a subset of this sample participated again two and half years later (N = 355). The participants completed a web-based questionnaire, "the Senioren Barometer", comprising seven scales for assessing environmental factors, and the Tilburg Frailty Indicator (TFI) and the Groningen Activity Restriction Scale (GARS), for assessing frailty and disability, respectively. Environmental factors of interest were: nuisance; housing; facilities; residents; neighborhood; stench/noise; and traffic. Results: Sequential regression analyses demonstrated that all environmental factors together explained a significant part of the variance of physical and social frailty and disability in performing activities of daily living (ADL) and instrumental activities of daily living (IADL), measured at Time 1 (T1) and Time 2 (T2). These analyses also showed that four of the environmental factors were associated with at least one of the outcome measures: housing, nuisance, residents, and neighborhood. Housing was the only environmental factor associated with three different outcome measures (social frailty, ADL disability, IADL disability), assessed at T1 and T2. Conclusion: The findings offer health-care and welfare professionals and also policymakers starting points for interventions. These interventions should focus, in particular, on housing, nuisance, residents, and neighborhood, because their impact on frailty and/or disability was the largest.
MeSH term(s)	Activities of Daily Living ; Aged ; Aged, 80 and over ; Cross-Sectional Studies ; Disability Evaluation ; Disabled Persons ; Female ; Frail Elderly/statistics & numerical data ; Frailty ; Geriatric Assessment/statistics & numerical data ; Humans ; Male ; Residence Characteristics
Language	English
Publishing date	2019-07-16
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	603162-6
ISSN	1872-6976 ; 0167-4943
ISSN (online)	1872-6976
ISSN	0167-4943
DOI	10.1016/j.archger.2019.103901
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 1729: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: External Validation of Models for Predicting Disability in Community-Dwelling Older People in the Netherlands: A Comparative Study.

van der Ploeg, Tjeerd / Schalk, René / Gobbens, Robbert J J

Clinical interventions in aging

2023 Volume 18, Page(s) 1873–1882

Abstract: Background: Advanced statistical modeling techniques may help predict health outcomes. However, it is not the case that these modeling techniques always outperform traditional techniques such as regression techniques. In this study, external validation ... ...

Abstract	Background: Advanced statistical modeling techniques may help predict health outcomes. However, it is not the case that these modeling techniques always outperform traditional techniques such as regression techniques. In this study, external validation was carried out for five modeling strategies for the prediction of the disability of community-dwelling older people in the Netherlands. Methods: We analyzed data from five studies consisting of community-dwelling older people in the Netherlands. For the prediction of the total disability score as measured with the Groningen Activity Restriction Scale (GARS), we used fourteen predictors as measured with the Tilburg Frailty Indicator (TFI). Both the TFI and the GARS are self-report questionnaires. For the modeling, five statistical modeling techniques were evaluated: general linear model (GLM), support vector machine (SVM), neural net (NN), recursive partitioning (RP), and random forest (RF). Each model was developed on one of the five data sets and then applied to each of the four remaining data sets. We assessed the performance of the models with calibration characteristics, the correlation coefficient, and the root of the mean squared error. Results: The models GLM, SVM, RP, and RF showed satisfactory performance characteristics when validated on the validation data sets. All models showed poor performance characteristics for the deviating data set both for development and validation due to the deviating baseline characteristics compared to those of the other data sets. Conclusion: The performance of four models (GLM, SVM, RP, RF) on the development data sets was satisfactory. This was also the case for the validation data sets, except when these models were developed on the deviating data set. The NN models showed a much worse performance on the validation data sets than on the development data sets.
MeSH term(s)	Humans ; Aged ; Independent Living ; Frail Elderly ; Netherlands ; Surveys and Questionnaires ; Self Report ; Frailty
Language	English
Publishing date	2023-11-14
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2364924-0
ISSN	1178-1998 ; 1176-9092
ISSN (online)	1178-1998
ISSN	1176-9092
DOI	10.2147/CIA.S428036
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 6742: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Prediction of COVID-19 Infections for Municipalities in the Netherlands: Algorithm Development and Interpretation.

van der Ploeg, Tjeerd / Gobbens, Robbert J J

JMIR public health and surveillance

2022 Volume 8, Issue 10, Page(s) e38450

Abstract: Background: COVID-19 was first identified in December 2019 in the city of Wuhan, China. The virus quickly spread and was declared a pandemic on March 11, 2020. After infection, symptoms such as fever, a (dry) cough, nasal congestion, and fatigue can ... ...

Abstract	Background: COVID-19 was first identified in December 2019 in the city of Wuhan, China. The virus quickly spread and was declared a pandemic on March 11, 2020. After infection, symptoms such as fever, a (dry) cough, nasal congestion, and fatigue can develop. In some cases, the virus causes severe complications such as pneumonia and dyspnea and could result in death. The virus also spread rapidly in the Netherlands, a small and densely populated country with an aging population. Health care in the Netherlands is of a high standard, but there were nevertheless problems with hospital capacity, such as the number of available beds and staff. There were also regions and municipalities that were hit harder than others. In the Netherlands, there are important data sources available for daily COVID-19 numbers and information about municipalities. Objective: We aimed to predict the cumulative number of confirmed COVID-19 infections per 10,000 inhabitants per municipality in the Netherlands, using a data set with the properties of 355 municipalities in the Netherlands and advanced modeling techniques. Methods: We collected relevant static data per municipality from data sources that were available in the Dutch public domain and merged these data with the dynamic daily number of infections from January 1, 2020, to May 9, 2021, resulting in a data set with 355 municipalities in the Netherlands and variables grouped into 20 topics. The modeling techniques random forest and multiple fractional polynomials were used to construct a prediction model for predicting the cumulative number of confirmed COVID-19 infections per 10,000 inhabitants per municipality in the Netherlands. Results: The final prediction model had an R<sup>2</sup> of 0.63. Important properties for predicting the cumulative number of confirmed COVID-19 infections per 10,000 inhabitants in a municipality in the Netherlands were exposure to particulate matter with diameters <10 μm (PM10) in the air, the percentage of Labour party voters, and the number of children in a household. Conclusions: Data about municipality properties in relation to the cumulative number of confirmed infections in a municipality in the Netherlands can give insight into the most important properties of a municipality for predicting the cumulative number of confirmed COVID-19 infections per 10,000 inhabitants in a municipality. This insight can provide policy makers with tools to cope with COVID-19 and may also be of value in the event of a future pandemic, so that municipalities are better prepared.
MeSH term(s)	Child ; Humans ; Aged ; COVID-19/epidemiology ; Netherlands/epidemiology ; Cities/epidemiology ; Particulate Matter ; Cough ; Algorithms
Chemical Substances	Particulate Matter
Language	English
Publishing date	2022-10-20
Publishing country	Canada
Document type	Journal Article
ISSN	2369-2960
ISSN (online)	2369-2960
DOI	10.2196/38450
Database	MEDical Literature Analysis and Retrieval System OnLINE

Order via subito

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article: Multidimensional frailty and its determinants among acutely admitted older people: a cross-sectional study using the Tilburg Frailty Indicator.

Gobbens, Robbert J J / Andreasen, Jane

European geriatric medicine

2020 Volume 12, Issue 1, Page(s) 151–160

Abstract: Purpose: This study aimed to establish which determinants had an effect on frailty among acutely admitted patients, where frailty was identified at discharge. In particular, our study focused on associations of sex with frailty.: Methods: A cross- ... ...

Abstract	Purpose: This study aimed to establish which determinants had an effect on frailty among acutely admitted patients, where frailty was identified at discharge. In particular, our study focused on associations of sex with frailty. Methods: A cross-sectional study was designed using a sample of 1267 people aged 65 years or older. The Tilburg Frailty Indicator (TFI), a user-friendly self-report questionnaire was used to measure multidimensional frailty (physical, psychological, social) and determinants of frailty (sex, age, marital status, education, income, lifestyle, life events, multimorbidity). Results: The mean age of the participants was 76.8 years (SD 7.5; range 65-100). The bivariate regression analyses showed that all determinants were associated with total and physical frailty, and six determinants were associated with psychological and social frailty. Using multiple linear regression analyses, the explained variances differed from 3.5% (psychological frailty) to 20.1% (social frailty), with p values < 0.001. Of the independent variables age, income, lifestyle, life events, and multimorbidity were associated with three frailty variables, after controlling for all the other variables in the model. At the level of both frailty domains and components, females appeared to be more frail than men. Conclusion: The present study showed that sociodemographic characteristics (sex, age, marital status, education, income), lifestyle, life events, and multimorbidity had a different effect on total frailty and its domains (physical, psychological, social) in a sample of acute admitted patients.
MeSH term(s)	Aged ; Aged, 80 and over ; Cross-Sectional Studies ; Female ; Frail Elderly ; Frailty/diagnosis ; Geriatric Assessment ; Humans ; Male ; Surveys and Questionnaires
Language	English
Publishing date	2020-09-01
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2556794-9
ISSN	1878-7657 ; 1878-7649
ISSN (online)	1878-7657
ISSN	1878-7649
DOI	10.1007/s41999-020-00388-x
Database	MEDical Literature Analysis and Retrieval System OnLINE

Full text online

Accessible to users with ZB MED library card

Order via subito

Details ▾
- Full text online
- Order with fees

Article ; Online: The prediction of readmission and mortality by the domains and components of the Tilburg Frailty Indicator (TFI): A prospective cohort study among acutely admitted older patients.

Gobbens, Robbert J J / Andreasen, Jane

Archives of gerontology and geriatrics

2020 Volume 89, Page(s) 104077

Abstract: Purpose: To assess the predictive value of three different frailty domains (physical, psychological, social) for both readmission and mortality in a population of acutely admitted older patients, and to determine which components of the individual three ...

Abstract	Purpose: To assess the predictive value of three different frailty domains (physical, psychological, social) for both readmission and mortality in a population of acutely admitted older patients, and to determine which components of the individual three frailty domains had an effect on readmission and mortality. Methods: This prospective cohort study was conducted in a sample of 1,328 Danish acutely admitted patients aged 65 years or older. The follow-up period on readmission and death was six months. The Tilburg Frailty Indicator (TFI), a validated questionnaire, was used to assess the three frailty domains and their 15 components. Results: After using sequential logistic regression analyses, including controlling for socio-demographic characteristics and comorbidity, physical and social frailty predicted readmission and death, while psychological frailty predicted only readmission. The analyses also demonstrated that the component weight loss had predictive value for both outcomes, and feeling down and missing people around you were only associated with readmission, after controlling for all the predictors. Conclusion: Our study emphasizes the importance of a multidimensional measurement of frailty, including a physical, psychological and social domain. Health care professionals aiming to prevent readmission and death among acutely admitted patients should at least conduct interventions focused on unintentional weight loss, feeling down, and missing people around you, because their effect on the outcomes was the largest.
MeSH term(s)	Aged ; Frail Elderly ; Frailty ; Geriatric Assessment ; Humans ; Patient Readmission ; Prospective Studies ; Quality of Life ; Surveys and Questionnaires
Language	English
Publishing date	2020-04-17
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	603162-6
ISSN	1872-6976 ; 0167-4943
ISSN (online)	1872-6976
ISSN	0167-4943
DOI	10.1016/j.archger.2020.104077
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 1729: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: The Role of Nursing Staff Regarding Goal Setting and Achieving in Geriatric Rehabilitation: A Focus Group Study.

Vaalburg, Anne Marie / Wattel, Elizabeth M / Boersma, Petra / Hertogh, Cees M P M / Gobbens, Robbert J J

Rehabilitation nursing : the official journal of the Association of Rehabilitation Nurses

2023 Volume 48, Issue 5, Page(s) 148–159

Abstract: Purpose: The aim of this study was to explore and clarify the role of nursing staff in geriatric rehabilitation on supporting patients in goal setting and achieving, through reflecting on rehabilitation interventions.: Design: A descriptive ... ...

Abstract	Purpose: The aim of this study was to explore and clarify the role of nursing staff in geriatric rehabilitation on supporting patients in goal setting and achieving, through reflecting on rehabilitation interventions. Design: A descriptive qualitative study was conducted. Methods: We conducted four online focus group interviews with 23 members of the nursing staff working in geriatric rehabilitation. They reflected on six interventions, preclassified into three types: setting goals in the admission phase, increasing patient participation in order to personalize the rehabilitation trajectory, and supporting patients in working on short-term goals. Data were analyzed using thematic content analysis. Results: Setting goals in the admission phase is primarily the task of the multidisciplinary team rather than the nursing staff. Interventions to increase patient participation align with the coordinating role of nursing staff in the rehabilitation team. Working on short-term goals is of great value to patients. Clinical relevance to the practice of rehabilitation nursing: The connection between the patient's personal goals and professional treatment aimed at functional recovery can be enhanced by strengthening the position of nursing staff working in geriatric rehabilitation. Conclusion: Members of nursing staff in geriatric rehabilitation see themselves playing a coordinating role in the multidisciplinary team, supporting the patient in goal work. Interventions aimed at advancing patient participation and providing support for short-term goals reinforce this role.
MeSH term(s)	Humans ; Aged ; Focus Groups ; Goals ; Motivation ; Rehabilitation Nursing ; Nursing Staff
Language	English
Publishing date	2023-08-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	604872-9
ISSN	2048-7940 ; 0278-4807 ; 0248-7940
ISSN (online)	2048-7940
ISSN	0278-4807 ; 0248-7940
DOI	10.1097/RNJ.0000000000000429
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.B 2601: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

Article ; Online: Bayesian Techniques in Predicting Frailty among Community-Dwelling Older Adults in the Netherlands.

van der Ploeg, Tjeerd / Gobbens, Robbert J J / Salem, Benissa E

Archives of gerontology and geriatrics

2022 Volume 105, Page(s) 104836

Abstract: Background Frailty is a syndrome that is defined as an accumulation of deficits in physical, psychological, and social domains. On a global scale, there is an urgent need to create frailty-ready healthcare systems due to the healthcare burden that ... ...

Abstract	Background Frailty is a syndrome that is defined as an accumulation of deficits in physical, psychological, and social domains. On a global scale, there is an urgent need to create frailty-ready healthcare systems due to the healthcare burden that frailty confers on systems and the increased risk of falls, healthcare utilization, disability, and premature mortality. Several studies have been conducted to develop prediction models for predicting frailty. Most studies used logistic regression as a technique to develop a prediction model. One area that has experienced significant growth is the application of Bayesian techniques, partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. Objective We compared ten different Bayesian networks as proposed by ten experts in the field of frail elderly people to predict frailty with a choice from ten dichotomized determinants for frailty. Methods We used the opinion of ten experts who could indicate, using an empty Bayesian network graph, the important predictors for frailty and the interactions between the different predictors. The candidate predictors were age, sex, marital status, ethnicity, education, income, lifestyle, multimorbidity, life events, and home living environment. The ten Bayesian network models were evaluated in terms of their ability to predict frailty. For the evaluation, we used the data of 479 participants that filled in the Tilburg Frailty indicator (TFI) questionnaire for assessing frailty among community-dwelling older people. The data set contained the aforementioned variables and the outcome "frail". The model fit of each model was measured using the Akaike information criterion (AIC) and the predictive performance of the models was measured using the area under the curve (AUC) of the receiver operator characteristic (ROC). The AUCs of the models were validated using bootstrapping with 100 repetitions. The relative importance of the predictors in the models was calculated using the permutation feature importance algorithm (PFI). Results The ten Bayesian networks of the ten experts differed considerably regarding the predictors and the connections between the predictors and the outcome. However, all ten networks had corrected AUCs >0.700. Evaluating the importance of the predictors in each model, "diseases or chronic disorders" was the most important predictor in all models (10 times). The predictors "lifestyle" and "monthly income" were also often present in the models (both 6 times). One or more diseases or chronic disorders, an unhealthy lifestyle, and a monthly income below 1800 euro increased the likelihood of frailty. Conclusions Although the ten experts all made different graphs, the predictive performance was always satisfying (AUCs >0.700). While it is true that the predictor importance varied all the time, the top three of the predictor importance consisted of "diseases or chronic disorders", "lifestyle" and "monthly income". All in all, asking for the opinion of experts in the field of frail elderly to predict frailty with Bayesian networks may be more rewarding than a data-driven forecast with Bayesian networks because they have expert knowledge regarding interactions between the different predictors.
MeSH term(s)	Humans ; Aged ; Independent Living ; Bayes Theorem ; Netherlands/epidemiology ; Marital Status
Language	English
Publishing date	2022-10-15
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	603162-6
ISSN	1872-6976 ; 0167-4943
ISSN (online)	1872-6976
ISSN	0167-4943
DOI	10.1016/j.archger.2022.104836
Database	MEDical Literature Analysis and Retrieval System OnLINE

In stock of ZB MED Cologne/Königswinter

Zs.A 1729: Show issues

Location:
Je nach Verfügbarkeit (siehe Angabe bei Bestand)
bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
Jg. 1995 - 2021: Lesesall (1.OG)
ab Jg. 2022: Lesesaal (EG)

Order via subito

Details ▾
- See ZB MED holdings
- Order with fees

To top

More links

Kategorien

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

Order via subito

Inter-library loan at ZB MED

Full text online

More links

Kategorien

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito

More links

Kategorien

In stock of ZB MED Cologne/Königswinter

Order via subito