The relationship between quality of life in a nursing home and personal, organizational, activity-related factors and social satisfaction: a cross-sectional study with multiple linear regression analyses.

Objectives: This study aimed to investigate quality of life in nursing home residents and the relationship with personal, organizational, activity-related factors and social satisfaction.Methods: In a cross-sectional survey study in 73 nursing homes in Flanders, Belgium, 171 cognitively healthy residents were randomly recruited (mean age 85.40 years [±5.88]; 27% men, 73% women). Quality of life, as the dependent/response variable, was measured using anamnestic comparative self-assessment (range -5 to +5). Multiple linear regression (forward stepwise selection) was used (1) to investigate which factors were significantly related to nursing home residents' quality of life and (2) to model the relationship between the variables by fitting a linear equation to the observed data.Results: Nursing home residents reported a quality of life score of 2.12 (±2.16). Mood, self-perceived health status, social satisfaction and educational level were withheld as significant predictors of the anamnestic comparative self-assessment score (p < 0.001), explaining 38.1% of the variance in quality of life.Conclusions: Results suggest that a higher quality of life in nursing homes can be pursued by strategies to prevent depression and to improve nursing home residents' subjective perception of health (e.g. offering good care) and social network. It is recommended that nursing homes prepare for future generations, who will be more educated.

The Active Ageing-concept translated to the residential long-term care.

PURPOSE: Active Ageing (AA), as described by the WHO (Active Ageing: a policy framework. World Health Organisation, Geneva 5), is an important concept in gerontology. Since the AA-concept has not been examined in the context of residential long-term care facilities, our study addresses this gap by describing the determinants of AA within this setting. METHODS: A qualitative study with semi-structured focus groups, followed by a thematic analysis, was conducted. Through purposive sampling, four focus groups of either residents of long-term care facilities (n = 8), children of residents (n = 8), community-dwelling older people (n = 8) and gerontologists (n = 6) were formed. RESULTS: The thematic analysis yielded nine determinants of AA. Seven correspond to those identified by the WHO: Culture, Behaviour, Psychological Factors, Physical Environment, Social Environment, Economic Characteristics and Health and Social Care. Two new determinants were identified: Meaningful Leisure and Participation. The determinant Participation is seen as crucial to AA in residential care. CONCLUSION: This study points to a more extensive set of determinants of AA than those identified by the WHO (Active Ageing: a policy framework. World Health Organisation, Geneva 5). Staff of long-term care facilities can make use of these determinants to promote AA in their residents.

Application of participation in clinical practice: Key issues.

BACKGROUND: Rehabilitation services are increasingly targeting involvement in daily life. In the International Classification of Functioning, Disability and Health this is referred to as "participation". How-ever, questions have arisen regarding the conceptualization of participation, and consensus is lacking. METHODS: The first phase of this study is a critical review of the literature to detect recurring conceptual problems in the application of participation and how researchers deal with these. The second phase is a systematic review to identify how participation measures are operationalized. RESULTS: The critical review found possible solutions to 4 recurring key limitations: (i) how to deal with ambiguity and vagueness regarding the term "participation"; (ii) how to differentiate between activity and participation; (iii) what is the current empirical knowledge about the subjective aspects of participation; (iv) what are the different ways to measure participation. The systematic review found 18 instruments operationalizing participation in different ways: (i) unidimensional: frequency of performing activities; (ii) unidimensional: limitations in experiencing participation when performing activities; (iii) multidimensional: multiple subjective dimensions when performing activities; and (iv) multidimensional: objective and subjective dimensions. DISCUSSION AND CONCLUSION: Notwithstanding an increasing body of knowledge, some issues remain unclear and how participation is measured is subject to debate. This results in difficulties in the use of participation in clinical practice. However, insight into the current body of knowledge and awareness of shortcomings might help clinicians who aim to apply participation in practice.

Experiences and Effects of Structurally Involving Residents in the Nursing Home by Means of Participatory Action Research: A Mixed Method Study.

OBJECTIVES: This study aimed to examine the effects of introducing participatory action research (PAR) within the nursing home (NH) on residents' quality of life (QoL) and NH experience and participation, and to explore their experiences with PAR. DESIGN: A mixed methods design was chosen, including a clustered randomized controlled trial (RCT) and qualitative interviews. SETTING: For the RCT, 3 NHs were randomly allocated to 3 conditions: an intervention (weekly PAR activity), an active control (weekly reminiscence-activity), or passive control (care as usual). The qualitative study took place in the intervention NH. PARTICIPANTS: Within the RCT, about 30 residents were recruited for assessments per NH, including 9 PAR participants and 10 reminiscence participants. Qualitative interviews were held with all PAR participants (residents and internal moderator). INTERVENTION: PAR is a method to structurally involve residents in the NH operation. Weekly PAR sessions were held with 9 residents and 2 moderators. Here, residents critically analyzed and discussed the NH operation, identified possible problems, suggested improvements, which were further implemented by the NH and monitored by the PAR group. MEASUREMENTS: Residents' NH experience (NH Active Aging Survey), QoL (Anamnestic Comparison Self-Assessment), and experienced participation (Impact on Participation and Autonomy) were measured in the RCT at pre-test, post-test (6 months), and follow-up (12 months). The qualitative study took into account interviews with the PAR stakeholders after 6 months. RESULTS: The RCT showed residents' QoL improving more between pre-test and follow-up in the intervention and active control NH compared with the passive control NH. No other effects were observed. The qualitative data revealed a positive PAR experience. Participants enjoyed the activity and indicated various positive influences. Still, there was room for improvement, including communication toward other residents and between staff. CONCLUSIONS: Notwithstanding the modest quantitative effects, PAR led to positive experiences and can have a future in the NH when solving some limitations.

Predicting appendicular lean and fat mass with bioelectrical impedance analysis in older adults with physical function decline - The PROVIDE study.

BACKGROUND & AIMS: No generalizable formulas exist that are derived from bioelectrical impedance analysis (BIA) for predicting appendicular lean mass (ALM) and fat mass (AFM) in sarcopenic older adults. Since precision of regional body composition (BC) data in multicentre trials is essential, this study aimed to: 1) develop and cross-validate soft tissue BIA equations with GE Lunar and Hologic DXA systems as their reference 2) to compare our new ALM equation to two previously published models and 3) to assess the agreement between BIA- and DXA-derived soft tissue ratios as indicators of limb tissue quality. METHODS: Two-hundred and ninety-one participants with functional limitations (SPPB-score 4-9; sarcopenia class I or II, measured by BIA) were recruited from 18 study centres in six European countries. BIA equations, using DXA-derived ALM and AFM as the dependent variable, and age, gender, weight, impedance index and reactance as independent variables, were developed using a stepwise multiple linear regression approach. RESULTS: Cross-validation gave rise to 4 equations using the whole sample: ALMLUNAR (kg) = 1.821 + (0.168*height2/resistance) + (0.132*weight) + (0.017*reactance) - (1.931*sex) [R2 = 0.86 and SEE = 1.37 kg] AFMLUNAR (kg) = -6.553 - (0.093* height2/resistance) + (0.272*weight) + (4.295*sex) [R2 = 0.70 and SEE = 1.53 kg] ALMHOLOGIC (kg) = 4.957 + (0.196* height2/resistance) + (0.060*weight) - (2.554*sex) [R2 = 0.90 and SEE = 1.28 kg] AFMHOLOGIC (kg) = -4.716 - (0.142* height2/resistance) + (0.316*weight) + (4.453*sex) - (0.040*reactance) [R2 = 0.73 and SEE = 1.54 kg] Both previously published models significantly overestimated ALM in our sample with biases of -0.36 kg to -1.05 kg. For the ratio of ALM to AFM, a strong correlation (r = 0.82, P < 0.0001) was found between the mean estimate from BIA and the DXA models without significant difference (estimated bias of 0.02 and 95% LOA -0.62, 0.65). CONCLUSION: We propose new BIA equations allowing the estimation of appendicular lean and fat mass. Our equations allow to accurately estimate the appendicular lean/fat ratio which might provide information regarding limb tissue quality, in clinical settings. Furthermore, these BIA equations can be applied to characterize sarcopenia with Hologic and Lunar reference values for BC. Previously published BIA-based models tend to overestimate ALM in sarcopenic older adults. Users of both GE Lunar and Hologic may now benefit from these equations in field research.

Active ageing within the nursing home: a study in Flanders, Belgium.

Nursing homes should support residents' quality of life (QoL). It remains vague, however, how these facilities can create a QoL enhancing environment. Active ageing (AA) is a useful framework in this context, since it provides a multidimensional set of determinants that enhance QoL. This study examined the current status of AA in nursing homes in Flanders, Belgium. A sample of 383 randomly recruited residents was surveyed on the subjective importance and experienced reality of the AA determinants as well as on QoL. Based on descriptive analyses, residents appeared to have a positive QoL and a moderately positive appraisal of the extent to which nursing homes provide a multidimensional environment to enhance their QoL. Multivariate analyses showed that residents' nursing home active ageing (NHAA) experience was positively related to their QoL and explained 20 % of its variance. Specifically, psychological factors and participation related positively to QoL. Demographic variables showed no relationships with QoL, while educational level related negatively to the NHAA experience. Currently, in Flanders, nursing homes are on their way to working according to the AA vision, but further efforts are still needed.

Interventions to enhance the Quality of Life of older people in residential long-term care: a systematic review.

PURPOSE: In residential long-term care (LTC), a growing interest exists in the older residents' Quality of Life (QoL). The Active Ageing-concept (AA) extended this focus, since AA has the aim to enhance QoL by optimising the opportunities for health, participation and security. In LTCs, AA can be outlined by 9 determinants. This systematic review aimed at identifying interventions to improve the QoL of LTC-residents. These interventions were organised according to the AA-determinants. METHODS: PubMed, Web of Science, Psychinfo and Sociological Abstracts were screened systematically. Articles were excluded when they only concerned a specific group of LTC-residents. RESULTS: Thirty five relevant articles, encompassing 3910 subjects were found. These concerned interventions concentrating on one or more of the 9 AA-determinants. The largest proportion of interventions regarded the physical activity level or the psychological factors of the residents. Overall, no systematic effects on QoL could be found and a low methodological quality was generally present. CONCLUSION: Currently, studies aimed at enhancing the QoL of older LTC-resident are limited and often directed to physical and psychological interventions. The lack of a systematic effect on QoL is possibly related to the fact that these interventions were often not multidimensional, whereas QoL is a multidimensional concept.