K.G. Luijkx

The Tilburg Frailty Indicator: Psychometric Properties

OBJECTIVES To assess the reliability, construct validity, and predictive (concurrent) validity of the Tilburg Frailty Indicator (TFI), a self-report questionnaire for measuring frailty in older persons. DESIGN Cross-sectional. SETTING Community-based. PARTICIPANTS Two representative samples of community-dwelling persons aged 75 years and older (n = 245; n = 234). MEASUREMENTS The TFI was validated using the LASA Physical Activity Questionnaire, BMI, Timed Up & Go test, Four test balance scale, Grip strength test, Shortened Fatigue Questionnaire, Mini-Mental State Examination, Center for Epidemiologic Studies Depression Scale, Anxiety subscale of the Hospital Anxiety and Depression Scale, Mastery Scale, Loneliness Scale, and the Social Support List. Adverse outcomes were measured using the Groningen Activity Restriction Scale and questions regarding health care use. Quality of life was measured using the WHOQOL-BREF. RESULTS The test-retest reliability of the TFI was good: 0.79 for frailty, and from 0.67 to 0.78 for its domains for a 1-year time interval. The 15 single components, and the frailty domains (physical, psychological, social) of the TFI correlated as expected with validated measures, demonstrating both convergent and divergent construct validity of the TFI. The predictive validity of the TFI and its physical domain was good for quality of life and the adverse outcomes disability and receiving personal care, nursing, and informal care. CONCLUSION This study demonstrates that the psychometric properties of the TFI are good, when performed in 2 samples of community-dwelling older people. The results regarding the TFIs validity provide strong evidence for an integral definition of frailty consisting of physical, psychological, and social domains.

Factors influencing acceptance of technology for aging in place: A systematic review

PURPOSE To provide an overview of factors influencing the acceptance of electronic technologies that support aging in place by community-dwelling older adults. Since technology acceptance factors fluctuate over time, a distinction was made between factors in the pre-implementation stage and factors in the post-implementation stage. METHODS A systematic review of mixed studies. Seven major scientific databases (including MEDLINE, Scopus and CINAHL) were searched. Inclusion criteria were as follows: (1) original and peer-reviewed research, (2) qualitative, quantitative or mixed methods research, (3) research in which participants are community-dwelling older adults aged 60 years or older, and (4) research aimed at investigating factors that influence the intention to use or the actual use of electronic technology for aging in place. Three researchers each read the articles and extracted factors. RESULTS Sixteen out of 2841 articles were included. Most articles investigated acceptance of technology that enhances safety or provides social interaction. The majority of data was based on qualitative research investigating factors in the pre-implementation stage. Acceptance in this stage is influenced by 27 factors, divided into six themes: concerns regarding technology (e.g., high cost, privacy implications and usability factors); expected benefits of technology (e.g., increased safety and perceived usefulness); need for technology (e.g., perceived need and subjective health status); alternatives to technology (e.g., help by family or spouse), social influence (e.g., influence of family, friends and professional caregivers); and characteristics of older adults (e.g., desire to age in place). When comparing these results to qualitative results on post-implementation acceptance, our analysis showed that some factors are persistent while new factors also emerge. Quantitative results showed that a small number of variables have a significant influence in the pre-implementation stage. Fourteen out of the sixteen included articles did not use an existing technology acceptance framework or model. CONCLUSIONS Acceptance of technology in the pre-implementation stage is influenced by multiple factors. However, post-implementation research on technology acceptance by community-dwelling older adults is scarce and most of the factors in this review have not been tested by using quantitative methods. Further research is needed to determine if and how the factors in this review are interrelated, and how they relate to existing models of technology acceptance.

Determinants of Frailty

OBJECTIVES To determine which determinants predict frailty and domains of frailty (physical, psychological, social) in a community-dwelling sample of elderly persons. DESIGN Cross-sectional. SETTING Community-based. PARTICIPANTS A representative sample of 484 community-dwelling persons aged 75 years and older. MEASUREMENTS The Tilburg Frailty Indicator (TFI), a self-report questionnaire, was used to collect information about determinants of frailty and to assess frailty and domains of frailty (physical, psychological, social). RESULTS Results were obtained by regression and mediation analyses. The 10 determinants explain about 35% of the variance of frailty. After controlling for other determinants, medium income, an unhealthy lifestyle, and multimorbidity predicted frailty. The effects of other determinants differed across domains of frailty; age predicted physical frailty, life events predicted psychological frailty, whereas being a woman predicted social frailty because older women have a higher probability of living alone. CONCLUSION Our finding that the effect of the determinants of frailty differs across frailty domains suggests that it is essential to divide the concept of frailty into domains.

In search of an integral conceptual definition of frailty: opinions of experts.

INTRODUCTION There are many different conceptual definitions of frailty in circulation. Most of these definitions focus mainly on physical problems affecting older people. Only a few also draw attention to other domains of human functioning such as the psychological domain. The authors of this article fear that this could lead to fragmentation of care for frail older people. The aim is to develop an integral conceptual definition of frailty that starts from the premise of a holistic view of the person. METHODS To achieve this, a literature search was carried out. Thereafter a group of experts (N=20) were consulted, both verbally during 2 expert meetings and via a written questionnaire. These experts were asked which existing conceptual definition of frailty places most stress on the integral functioning of older people. RESULTS The experts expressed a clear preference for one of the conceptual definitions. The result of the literature search and the consultation with the experts led to a new integral conceptual definition of frailty. CONCLUSION The conceptual definition is intended to offer a framework for an operational definition of frailty for identifying frail older people.

Toward a conceptual definition of frail community dwelling older people.

In order to be able to identify frail community-dwelling older people, a reliable and valid definition of the concept of frailty is necessary. The aim of this study was to provide an overview of the literature on conceptual and operational definitions of frailty, and to determine which definitions are most appropriate for identifying frail community-dwelling older people. Therefore, a computerized search was performed in the PubMed database, Web of Science and PsychInfo. A successful definition of frailty reflects a multidimensional approach, makes clear its dynamic state, predicts adverse outcomes, does not include disease, comorbidity or disability, and meets the criterion of practicability. None of the current conceptual and operational definitions meet these criteria. In this article a new integral conceptual definition of frailty is proposed which meets the criteria of a successful definition.

TOWARDS AN INTEGRAL CONCEPTUAL MODEL OF FRAILTY

OBJECTIVES Most conceptual and operational definitions of frailty place heavy emphasis on the physical problems encountered by older people. The accompanying models are based largely on a medical model. An integral approach is almost never adopted. This study aims to develop both an integral operational definition of frailty and an integral conceptual model of frailty. DESIGN In order to achieve these aims, a thorough literature search was performed on components of operational definitions and models of frailty. In addition, experts (N=17) were consulted during two expert meetings. RESULTS There was consensus among the experts on the inclusion of the following components in the operational definition of frailty: strength, balance, nutrition, endurance, mobility, physical activity and cognition. Some respondents indicated that they would wish to add components from the psychological or social domain. Supported by results from the literature search, a new integral operational definition of frailty was developed. This operational definition lies at the heart of an integral conceptual working model of frailty. This model expresses the relationships between three domains of frailty, adverse outcomes such as disability and the determinants. CONCLUSION The model should be able to serve as a basis for further scientific research on frailty. The model also provides a framework for the development of a measurement instrument which can be used for the identification of frail elderly persons.

The Predictive Validity of the Tilburg Frailty Indicator: Disability, Health Care Utilization, and Quality of Life in a Population at Risk

PURPOSE To assess the predictive validity of frailty and its domains (physical, psychological, and social), as measured by the Tilburg Frailty Indicator (TFI), for the adverse outcomes disability, health care utilization, and quality of life. DESIGN AND METHODS The predictive validity of the TFI was tested in a representative sample of 484 community-dwelling persons aged 75 years and older in 2008 (response rate 42%). A subset of all respondents participated 1 year later (N = 336, 69%) and again 2 years later (N = 266, 55%). We used the TFI, the Groningen Activity Restriction Scale assessing disability, seven indicators of health care utilization, and a brief version of the World Health Organization Quality of Life questionnaire (WHOQOL-BREF). The WHOQOL-BREF was assessed in 2008 and 2010; all others were assessed in 2008, 2009, and 2010. RESULTS The predictive validity of the TFI assessed in 2008 for disability, health care utilization, and quality of life was corroborated by (a) medium to very large associations of frailty with adverse outcomes 1 or 2 years later; (b) mostly good to excellent area under the curve of total frailty; and (c) an increase in predictive accuracy of most adverse outcomes, even after controlling for that same adverse outcome in 2008, and life-course determinants and multimorbidity. Physical frailty was mostly responsible for the predictive validity of the TFI. IMPLICATIONS This study showed that the TFI is a valid instrument to predict disability, many indicators of health care utilization, and quality of life of older people, 1 and 2 years later.

Modular care and service packages for independently living elderly

Purpose – The purpose of this paper is to show how modularity manifests in a service context, more specifically in the provision of care and services to independently living elderly.Design/methodology/approach – Four case studies provide insight into the specification of relevant components and their subsequent assembly into a customized package of care and services.Findings – In all cases, component specification and package construction take place in two phases: partly before and partly during care delivery. Early client involvement allows for a combination of standard components that have a lower level of customization, whereas late client involvement allows for adaptation of these components resulting in a higher level of customization. The paper proposes that modularity theory should distinguish between the creation of modular offerings in care provision versus their creation in goods production, since the findings are the exact reverse of the state‐of‐the art knowledge in manufacturing modularity.Re...

Testing an integral conceptual model of frailty.

AIM This paper is a report of a study conducted to test three hypotheses derived from an integral conceptual model of frailty. BACKGROUND   The integral model of frailty describes the pathway from life-course determinants to frailty to adverse outcomes. The model assumes that life-course determinants and the three domains of frailty (physical, psychological, social) affect adverse outcomes, the effect of disease(s) on adverse outcomes is mediated by frailty, and the effect of frailty on adverse outcomes depends on the life-course determinants. METHODS In June 2008 a questionnaire was sent to a sample of community-dwelling people, aged 75 years and older (n = 213). Life-course determinants and frailty were assessed using the Tilburg frailty indicator. Adverse outcomes were measured using the Groningen activity restriction scale, the WHOQOL-BREF and questions regarding healthcare utilization. The effect of seven self-reported chronic diseases was examined. RESULTS Life-course determinants, chronic disease(s), and frailty together explain a moderate to large part of the variance of the seven continuous adverse outcomes (26-57%). All these predictors together explained a significant part of each of the five dichotomous adverse outcomes. The effect of chronic disease(s) on all 12 adverse outcomes was mediated at least partly by frailty. The effect of frailty domains on adverse outcomes did not depend on life-course determinants. CONCLUSION Our finding that the adverse outcomes are differently and uniquely affected by the three domains of frailty (physical, psychological, social), and life-course determinants and disease(s), emphasizes the importance of an integral conceptual model of frailty.

The relationship between governance roles and performance in local public interorganizational networks : A conceptual analysis

Local public networks can be governed in many different ways. Among scholars as well as among practitioners, there is some debate about the best approach. Based on literature, this article examines the relationship between local public network governance roles, contingency factors, and network performance in a theoretically informed way. Governance roles are positioned on a continuum from top-down (commissioner) to bottom-up (facilitator), with an intermediate area (coproducer). How governance roles influence the performance of local public networks is assumed to depend on contingency factors, which might explain the inconsistent results of studies examining this influence. An integrated model of local public network governance is presented that includes four contingency factors: the number of network participants, diversity of network members, degree of customizability of service demands, and the number of new network participants. The model can be applied to the heterogeneous contexts that local governments encounter when governing local public networks.