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Formal and Informal Caregiving

Relationship of care staff attitudes with social well-being and challenging behavior of nursing home residents with dementia: a cross sectional study

, &
Pages 1517-1523 | Received 21 Dec 2017, Accepted 23 Jul 2018, Published online: 08 Nov 2018

Abstract

Objectives: This study investigates the relationship between attitudes of care staff and social well-being and challenging behavior of residents in long-term dementia care.

Methods: The study was based on a cross-sectional design using questionnaires. Care staff members (N = 291) of 15 long-term care facilities in the Netherlands completed the Approaches to Dementia Questionnaire. Additionally, the primary professional caregiver of each participating resident (N = 239) completed an observational questionnaire regarding that resident’s behavior, which contained the scale for Social Wellbeing Of Nursing home residents and the Cohen-Mansfield Agitation Inventory. Data were analyzed using multilevel analyses, taking characteristics of residents into account.

Results: Attitudes of care staff towards residents with dementia differed between facilities. Further, residents experienced more social well-being and displayed less challenging behavior in facilities where care staff had more hopeful attitudes.

Conclusion: This study demonstrates a relationship between attitudes of care staff and resident well-being. The results indicate that it is important to address attitudes towards residents with dementia in the education of (future) care staff. Care processes may also be improved by focusing on the attitudes of care staff. In this way, the well-being of residents with dementia can potentially be improved as well.

Introduction

Providing care for people with dementia can be challenging and sometimes a source of strain for staff in long-term care settings such as nursing homes (Edberg et al., Citation2008). There are many competing demands to balance in trying to ensure a good quality of life for residents, and staff may be challenged by behavior that is unpredictable and difficult to understand. To ensure high quality of care and well-being for people with dementia, a positive attitude that focuses on an individual’s abilities is thought to be essential (Alfredson & Annerstedt, Citation1994; Kada, Nygaard, Mukesh, & Geitung, Citation2009). However, this expectation has not yet been confirmed.

The literature on attitudes of nursing staff in dementia care is limited. Several years ago, Brodaty et al. found that nurses and nurse aides predominantly had negative perceptions of individuals with dementia (Brodaty, Draper, & Low, Citation2003), although Norbergh et al. found more positive attitudes (Norbergh, Helin, Dahl, Hellzen, & Asplund, Citation2006). More recently, effects of person centered care approaches have been shown to increase person-centeredness (e.g. CitationBarbosa, Nolan, Sousa, & Figueiredo, 2017; Edvardsson, Sandman, & Borell, Citation2014; Larocque et al., Citation2014) and person-centered attitudes have been found to influence person-centered dementia care (Hunter, Hadjistavropoulos, Thorpe, Lix, & Malloy, Citation2016).

Interestingly, how care staff rate the quality of life of residents with dementia may be influenced by their attitudes about dementia (Winzelberg, Williams, Preisser, Zimmerman, & Sloane, Citation2005) and their levels of burnout and satisfaction with life (Graske, Meyer, & Wolf-Ostermann, Citation2014). Additionally, attitudes of care staff have been found to be associated with better recognition of cognitive impairment (Macdonald & Woods, Citation2005). A few indications have been found that hopeful attitudes of care staff are associated with higher resident quality of life as rated by staff (Spector & Orrell, Citation2006; Zimmerman, et al., Citation2005). Furthermore, challenging behavior of residents was found to be more likely to occur after task oriented caregiver actions than person-centered actions (Gilmore-Bykovskyi, Roberts, Bowers, & Brown, Citation2015). Yet, relationships between attitudes of nursing staff, quality of care and resident well-being have barely been studied. This is an interesting area of investigation as a growing body of literature indicates that a resident’s well-being is closely related to the quality of his or her relationship with care providers (Custers, Westerhof, Kuin, & Riksen-Walraven, Citation2010; McGilton, Sidani, Boscart, Guruge, & Brown, Citation2012; Nakanishi, Hirooka, Morimoto, & Nishida, Citation2017; Willemse et al., Citation2014). For example, a care provider’s positive behavior may contribute to a decrease in behavioral symptoms in residents with dementia (van Weert, van Dulmen, Spreeuwenberg, Ribbe, & Bensing, Citation2005), and effective relational behavior or behavior that focuses on resident abilities can enhance resident well-being (Brooker, Citation2005; McGilton et al., Citation2012; Norbergh et al., Citation2006; Verkaik et al., Citation2011).

This paper investigates nursing staff attitudes towards residents with dementia in long-term care facilities, and the relationship between these attitudes and resident well-being, more particularly social well-being and challenging behavior of residents. The research questions are:

  1. What are the attitudes of nursing staff regarding residents with dementia?

  2. Are nursing staff attitudes related to resident social well-being and challenging behavior?

Methods

Design, participants and ethics

Data were collected using questionnaires in a cross-sectional design in 15 long-term care facilities (nursing- and residential homes) in the Netherlands. These facilities provide multi-disciplinary care for older people with chronic health problems (Koopmans, Lavrijsen, & Hoek, Citation2013). Care staff working in these facilities are an educationally diverse group of specialized registered nurses, recreational therapists, certified nursing assistants (CNAs), and assistants without healthcare education.

All 15 facilities were about to start innovative small-scale projects to improve dementia care and data were collected as part of an evaluation of these projects in 2008–2009 (Van Beek, Spreeuwenberg, & Groenewegen, Citation2009). Although all projects aimed at increasing care staff’s attention for residents with dementia, the outline and size of the projects varied greatly. For instance, the number of residents in projects varied between 15–260 residents (see ). In smaller projects all care staff were asked to participate in the study, in larger projects the local project supervisor selected a dementia unit. Care staff involved in the projects were asked by the local project supervisor to complete a questionnaire. Additionally, the primary professional caregiver of participating residents was asked to complete an observation-list on the resident’s behavior, together with a colleague. Respondents could send the completed questionnaire to the research team by freepost. No data was collected directly from residents and there were no exclusion criteria for residents or staff. Written informed consent was asked of residents’ legal representatives accompanied by a letter explaining the study. Participation was limited to residents for whom written informed consent was provided. The study was undertaken in accordance with the declaration of Helsinki, the Conduct Health Research (www.federa.org/gedragscodes-codes-en) and the applicable rules concerning the review of research ethics committees and informed consent in the Netherlands.

Table 1. Type of care setting, number of residents and staff in the participating projects, and number of residents and staff in this study.

Outcome measurements

Attitudes towards Dementia: The Approaches to Dementia Questionnaire (ADQ) (Lintern, Woods, & Phair, Citation2000) includes 19 items, each scored from 1 (strongly disagree) to 5 (strongly agree). They are summed into a total score (range 19–95), a ‘Hope’ subscale (8 items, range 8–40) and a ‘Person-centered' subscale (11 items, range 11–55). Higher scores indicate more positive attitudes, some (negative) items need to be recoded. ‘Hope’ addresses the degree of hope for individuals with dementia, ‘Person-centeredness’ regards the degree to which respondents endorse person-centered care as opposed to considering that all residents with dementia have the same strengths and limitations. Internal consistency (Cronbach’s alpha) in our sample was 0.73 for the total ADQ; 0.72 for Hope; and 0.74 for Person-centeredness, respectively. The ADQ was translated into Dutch by the researchers and the translation was validated through back-translation by a professional English corrector.

Social Well-being: The Social Well-being of Nursing home residents (SWON) scale is a 9-item observational measure completed by nursing staff assessing the social behavior of the resident towards others as well as the behavior of others towards the resident (Gerritsen, Steverink, Frijters, Ooms, & Ribbe, Citation2010). Based on Social Production Functions theory (Steverink & Lindenberg, Citation2006) it has separate sub-scales (three items each) for the theory’s three social well-being needs. Cronbach’s alpha of the total SWON-score in the current study was 0.74.

Challenging behavior: The Cohen-Mansfield Agitation Inventory (CMAI) (Cohen-Mansfield, Marx, & Rosenthal, Citation1989) is the most widely used assessment scale for agitation and aggressive behavior of residents in long-term care. It consists of 29 items with a 7-point frequency scale (‘never’ to ‘several times an hour’). The CMAI has shown test-retest and inter-rater reliability and concurrent validity in nursing home residents (Miller, Snowdon, & Vaughan, Citation1995) and is often used in long term care research (Veldwijk-Rouwenhorst et al., Citation2017). Internal consistency (Cronbach’s alpha) of CMAI in the current study was 0.85.

Characteristics of residents: Several resident characteristics that may influence social well-being and challenging behavior were studied: age, sex, length of stay, and cognitive and physical functioning. Cognitive functioning was measured using the Cognitive Performance Scale (CPS) of the Resident Assessment Instrument (RAI), a five-item observational scale with a total score ranging from 0 (intact) to 6 (very severe impairment)(Morris et al., Citation1994). Problems in physical functioning were measured using the ADL (Activities of Daily Living) hierarchy index of RAI, with a score ranging from “independent” (0) to “totally dependent on others” (6) (Morris, Fries, & Morris, Citation1999).

Statistical analyses

Differences between facilities were analyzed using Kruskal Wallis Tests. To study the relationship between care staff attitudes and the social well-being and challenging behavior of residents, a multilevel analysis (Leyland & Groenewegen, Citation2003; Snijders, Citation1999) was performed in MLwiN. A random intercept multilevel, multi-response model was used, which enabled studying social well-being and challenging behavior of residents as dependent variables separately, while taking into account a possible relationship between these outcomes (van Beek, Frijters, Wagner, Groenewegen, & Ribbe, Citation2011). The model consisted of three levels: facilities (level 3), individual residents within the facility (level 2) and the relationship between social well-being and challenging behavior within individual residents (level 1).

First, the relationship between social well-being and challenging behavior was explored (Model 1, or Empty Model). Second, this relationship was studied controlling for resident characteristics by entering age, sex, length of stay, cognitive and physical functioning into the model on resident-level (Model 2). Third, the relationship between attitudes of care staff, and social well-being and challenging behavior of residents was investigated by entering the two ADQ-subscales one by one into the analyses on facility-level (Model 3).

In total, there were 14 missing values of residents for the challenging behavior scale. For the scale on social well-being, there were 7 missing values of residents.

Results

shows characteristics of the 15 facilities, and the number of respondents per facility. A total of 291 staff members (of 451, 65%) completed the questionnaire. Most care staff were female (94%), with a mean age of 43 years (sd = 10.84). Staff members worked 26 hours per week on average (sd = 7.28). All levels of staff were represented by the respondents in this study (see also ).

Additionally, data were collected for 239 residents for whom informed consent was given. This was 60% of the 400 residents for whom consent letters were distributed among legal representatives. Their mean age was 83 years (sd = 8.10); 74% were female. Length of stay was more than one year for the majority of residents (68%) at the time of data-collection; for 21% of the residents it was less than six months. The mean CPS-score was 4.0 (sd = 1.56), indicating moderate problems in cognition. The mean ADL-score was 3.5 (sd = 1.63), indicating a dependency on others for activities of daily living.

Attitudes of care staff towards dementia (ADQ)

shows the ADQ results for the 15 facilities. Mean scores for hope and person-centeredness were 24.0, (sd = 4.76) and 45.6 (sd = 4.56) respectively for the total sample, and 69.6 (sd = 6.92) for total ADQ. The mean scores varied significantly between facilities (p < 0.05; Kruskal-Wallis test).

Table 2. Average scores on the ADQ subscales and total scale for nursing staff of 15 long-term care facilities in the Netherlands (N = 291).

Relationship between attitudes of care staff and well-being of residents

The mean score for social well-being (SWON) was 10.5 (range: 1–18), for challenging behavior (CMAI) it was 51.3 (range: 29–112). presents the results of the multilevel analysis. Social well-being and challenging behavior varied significantly between residents. There was also a significant difference between facilities in the social well-being and challenging behavior of residents (see variance component of ‘residents’ and ‘facilities’ for both outcomes in Model 1, ). Social well-being and challenging behavior were negatively related on the level of the facilities (correlation multilevel analyses -0.92): in facilities where residents experienced less social well-being, residents displayed more challenging behavior. On the level of the residents, the correlations between these outcomes were less strong (correlation multilevel analyses -0.30), but had the same direction. Of the variance 26% (social well-being) and 10% (challenging behavior) could be ascribed to differences on the level of the facilities (see ICC in Model 1, ).

Table 3. Results of the multilevel multi-response analyses for attitudes of nursing staff (N = 291) and social well-being and challenging behavior of residents (N = 239) in 15 long-term care facilities.

Model 2 addresses whether differences in social well-being and challenging behavior were due to differences in resident-characteristics (Model 2, ). Higher age of residents, shorter length of stay (<2 years), and less problems in cognitive functioning (p < 0.05) were positively related to social well-being. Also, residents with more problems in physical functioning showed less challenging behavior (p < 0.05); residents with more cognitive problems showed more challenging behavior (p < 0.05). When resident characteristics were added to the model, differences between individual residents in social well-being and challenging behavior remained significant (see variance components Model 2, ). Furthermore, the correlation between both outcomes remained high on the level of the facilities (−0.90) and decreased slightly on the level of residents (−0.26).

Finally, the attitudes of care staff were entered into the analysis. The subscales ‘Hope’ and ‘Person-centeredness’ were added separately, while taking into account resident characteristics. When care staff had a more hopeful attitude towards residents with dementia, residents displayed higher social well-being and less challenging behavior (p < 0.05, Model 3, ). These effects were not found for ‘Person-centeredness’. By adding ‘Hope’ to the model, significant differences between facilities in challenging behavior disappeared. In addition, the variance that could be ascribed to differences between facilities decreased: ICC for facilities was reduced to 17% and 6% for social well-being and challenging behavior respectively. Correlation between both outcomes remained high on the level of the facilities (−0.85) and lower on the level of residents (−0.26).

Discussion

Attitudes of care staff differed between facilities, with higher average scores on person-centeredness items than on items evaluating hopeful attitudes. Furthermore, we found that when staff had a more hopeful attitude towards residents with dementia, residents experienced higher social well-being and displayed less challenging behavior.

Higher scores on person-centeredness than on hope have been found before, which also holds for person-centered scores being quite high (Kada et al., Citation2009; Macdonald & Woods, Citation2005; Zimmerman, et al., Citation2005). Some of these items may suffer from social desirability bias. The items ‘Persons with dementia have, just like others, the need to feel respected,’ ‘People with dementia are more likely to be contented when treated with understanding and reassurance’ and, ‘It is important to respond with understanding and empathy towards persons with dementia,’ had a very high percentage of ‘strongly agree’ answers/low percentage of ‘strongly disagree’ answers (64%, 48% and 47% respectively for strongly agree and 0,3%, 0,9% and 0,6% for strongly disagree). Alternatively, as has been suggested earlier, care staff may have become more person-centered over the years (Willemse et al., Citation2015). Indeed, the mean percentage of ‘strongly agree’ and ‘strongly disagree’ answers on the Hope items was 9.99% and 8.85% respectively, whereas those of the person-centeredness items were 36.08% and 1.42%. Further research could focus on improving the person-centered items.

Our findings suggest that attitudes towards dementia are not only important for outcomes for care staff, but that attitudes towards dementia are also relevant for resident outcomes, which confirms earlier findings (Gilmore-Bykovskyi et al., Citation2015; Zimmerman, et al., Citation2005). This finding is important for care approaches that aim to improve interactions between nurses and residents, such as person-centered care (Brooker, Citation2005; Kitwood, Citation1998; Willemse et al., Citation2014), relationship-centered care (Nolan, Davies, Brown, Keady, & Nolan, Citation2004), and emotion-oriented care (Finnema et al., Citation2005; Finnema, Droes, Ribbe, & Van Tilburg, Citation2000). It implies that interventions should not solely focus on the behavior of care staff, but also on the attitudes that underlie this behavior. Moreover, apart from consequences for specific interventions, the current study underlines the importance of focusing on the attitudes towards people with dementia in the education and training of care staff in long-term care settings.

This study has some limitations. First, a cross-sectional design with 15 facilities was used. As a result, the power of the multilevel analyses was restricted to 15 facilities at the highest level, meaning that both attitude-subscales could not be entered simultaneously into the model. However, even in 15 facilities, significant differences in attitudes of care staff and outcomes of residents were found. Furthermore, by using a cross-sectional design, no causal relationship between attitudes of care staff and outcomes of residents could be established. It may be that well-being and behavior of residents influence the attitudes of care staff, an issue that can only be investigated in a longitudinal study. Indeed, the relationship between attitudes and behavior has been studied for decades, and the theoretical approaches regarding the relationship between them within a person (i.e. attitudes of care staff influence their behavior) result from the understanding that attitudes and behavioral intentions do not always lead to actual behavior (Ajzen, Citation1991, Citation2011). Therefore, longitudinal study of the relationship between attitudes of care staff, their behavior and also the behavior and well-being of residents would be highly relevant. Such research should incorporate dependent as well as independent raters (research staff) of resident outcomes, since the results may be influenced if the staff of whom the attitudes are measured are also the raters of the residents' behavior. In the current study, about 15% of the care staff respondents also filled in the observation-list for residents. Staff with more hopeful attitudes might indeed be inclined to rate social well-being of residents more positively, being more attuned to positive characteristics of the residents.

Second, all of the participating facilities were about to start a project to improve dementia care. It is possible that care staff were more aware of their attitudes towards residents as a result of this, which may influence the generalizability of the results. Yet, as all of the facilities were about to begin with the projects and had not actually started, we expect this effect to be limited. Our convenience sample may also have resulted in an atypical selection of residents. However, the sex, age and CMAI-scores are comparable to that of a representative sample of Dutch nursing home residents with dementia (N = 2074) (Veldwijk-Rouwenhorst et al., Citation2017). Furthermore, the care staff characteristics were highly similar to those in a recent study using a representative sample of Dutch care staff (N = 1093) (Willemse et al., Citation2015).

Third, care staff attitudes may relate to their (demographic) characteristics. For instance, higher education level, younger age, more work experience (Kada et al., Citation2009) -but also less work experience (Lee, Hui, Kng, & Auyeung, Citation2013; Zimmerman, et al., Citation2005) -, job satisfaction (Brodaty et al., Citation2003; Willemse et al., Citation2015), and self-confidence or personal accomplishment (Travers, Beattie, Martin-Khan, & Fielding, Citation2013; Willemse et al., Citation2015) have been found to be associated with more hopeful or positive attitudes among care staff. These aspects were not addressed in this study, but should be in further research.

Fourth, we found a very high negative correlation (>0.85) between social well-being and challenging behavior of residents on the level of the facilities. It is unclear how this may be explained, as both outcomes were measured with two separate validated scales. Possibly, the overlap has to do with scoring patterns of care staff within facilities. Therefore, we looked more closely at the correlations between both outcomes within facilities. Indeed, correlations between outcomes vary considerably between facilities (between -0.03 to -0.84 based on Pearson correlations), indicating that care staff scored differently in the participating facilities. Yet, the overlap in outcomes may also represent actual co-occurrence of high levels of challenging behavior and low social well-being in certain facilities. Further research studying the overlap between both outcomes is necessary. The higher correlation at the facility level rather than the resident level might indicate that residents who do not have high levels of challenging behavior themselves, may have their social well-being reduced by living alongside those who do.

Conclusion

In conclusion, this study demonstrates a relationship between attitudes of care staff and resident well-being. Although longitudinal investigation of causality is necessary, the results already have important implications for care staff. First, it is important to address the attitudes towards residents with dementia in the education of (future) care staff, especially the attitudes regarding hope. Furthermore, the results indicate that care processes may be improved by focusing on the attitudes of care staff, with important benefits for the well-being of residents with dementia.

Acknowledgements

The authors would like to thank Peter Spreeuwenberg of the Netherlands Institute of health services research for his help with the multilevel analyses.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This study was supported by the Dutch ‘Innovatiefonds Zorgverzekeraars’ [no grant number]

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