Xiaoxin Dong1†
Tongda Sun- 1Ningbo College of Health Sciences, Ningbo, China
- 2Ningbo Psychiatric Hospital, Ningbo, China
- 3Ningbo Kangning Hospital, Ningbo, China
Background: Homebound older people with dementia (OPWD) face a series of care risks due to disease characteristics, care issues, and the family environment. However, China lacks a quantitative assessment tool for care risk. Thus, we attempted to develop a care risk scale for homebound OPWD.
Methods: A care risk scale, with initially 18 items, was designed based on a systematic literature review, expert consultation, and a pilot study with 20 OPWD. The initial scale was validated among 1,045 homebound OPWD in Ningbo, China from November 1, 2020 to July 30, 2021. After removing three items that lacked discrimination power, the reliability and validity of the remaining 15 items was evaluated. Factor extraction was performed via principal axis factoring and Cattell’s scree plot analysis, with the resulting factors then being subjected to a varimax rotation.
Results: The final scale consisted of 15 items assessed on a 5-point Likert scale that loaded on to three different factors, including dementia symptoms (four items), family support (four items), and home environment (seven items). These three factors were found to explain 72.9% of the cumulative variance. The overall Cronbach’s alpha for the final scale was 0.907. The correlation coefficients in the item-to-total analysis ranged from 0.511 to 0.662.
Conclusion: The validation analysis indicated satisfactory reliability and validity of the 15-item scale for assessing care risk of homebound OPWD. This scale can help long-term care professionals and family caregivers identify care risks and help them take targeted measures to enhance safety of care for OPWD.
Introduction
There are over 55 million people living with dementia worldwide and this number will reaching 78 million in 2030 (Alzheimer’s Disease International, 2021). Dementia not only manifests as the weakening of physical function, but also the gradual loss of neurological functions, such as memory and orientation, accompanied by a series of mental and behavioral symptoms (Gale et al., 2018). Notably, home care remains the dominant care mode internationally for older people with dementia (OPWD). According to statistics released by Alzheimer’s Disease International (2020), more than 70% of OPWD live at home, and also wish to remain there. Specifically, in China, more than 80% of OPWD are cared for at home (Zhao and Wang, 2020).
However, homebound OPWD are subject to several safety issues. For example, it has been reported that approximately 40% of OPWD have gotten lost in some manner (Neubauer et al., 2021), which is largely due to their memory loss and disorientation (Bantry and Montgomery, 2014). The consequences of them getting lost are serious, with severe examples resulting in injury or even death (Woolford et al., 2017). Moreover, according to reports, 30–50% of OPWD have fallen (Dudevich et al., 2018; Zhang et al., 2019). Herein, a high rate of falling is related to a poor self-care ability and overall orientation, which are common among OPWD (Zhang et al., 2019), in addition to the fact that an unreasonable room layout makes their lived environment unsafe (Green, 2018). Furthermore, the forgetfulness associated with dementia and any inadequate care may both lead to increased medication risks (Poland et al., 2014; Green, 2018), with it being reported that more than 20.8% of OPWD have had at least one medication safety incident (Dudevich et al., 2018). The most difficult challenge faced by caregivers is OPWD’s agitation behaviors, which has been observed in as many as 89% of cases. Improper handling of these behaviors can result in self-injury or injury to others. These agitation behaviors of OPWD are not only related to disease factors, but can also be triggered by the negative communication styles of caregivers or by adverse environmental stimuli (Vugt et al., 2004; Kales et al., 2015).
The development of systematic and scientific risk assessment tools is a key means of risk analysis and response. The Alzheimer’s Association Campaign for Quality Care released the “Dementia Care Practice Recommendations for Professionals Working in a Home Setting” (Alzheimer’s Association, 2009), which outlines the fact that a systematic analysis and prediction of care risk factors is an important basis for home care, with them then providing risk assessment and intervention strategies as guidance for home care. Furthermore, to maximize the safety of OPWD at home, the United Kingdom has promulgated the “Risk Guidance for People with Dementia” (UK Government Department of Health, 2010). Additionally, the American National Institute on Aging has specifically developed a home safety checklist for OPWD (National Institute on Aging, 2017), which advises caregivers in the best ways in which to check safety risks. The safety factors covered in these guidelines and checklists mainly include care and environmental factors. Further, Lee et al. (2019) developed a person-centered risk assessment framework to assess and manage risk for dementia patients, with it suggesting that the risk of a patient engaging in a certain activity can be assessed from the perspective of both them and their caregivers. Another study by Green (2018) conducted a detailed analysis of safety implications of possible risk events and factors for homebound OPWD. Additionally, research by Adams (2001) applied a socially constructed approach to define the care risks of OPWD. Finally, McDermott (2010) proposed care risk factors for dementia, as well as an assessment and management process. In China, many scholars have conducted studies regarding the care risks of OPWD. The “Expert Consensus on Long-term Healthcare of Patients with Cognitive Disorders in China,” released by the Cognitive Impairment Branch of the Chinese Geriatrics Association (2016), states that a daily living ability assessment, a living environment layout, and various care factors should be considered when caring for OPWD. Hao et al. (2016) developed a home-based dementia care assessment list using aspects of daily care, including mental behavior, environmental settings, and living arrangements. Further, Zeng et al. (2018) qualitatively described the home safety hazards of OPWD and proposed various intervention measures. However, these studies only provide a description of possible risks. Internationally, there are various scales, such as the Morse Fall Assessment Scale (Morse, 2002) and the Professional Environmental Assessment Scale (Fleming, 2011), that then go on to also assess risk factors; however, these scales are not specific to OPWD and only target one risk factor dimension.
Based on the extant literature, this study developed a care risk scale for homebound OPWD to help long-term care professionals and family caregivers in quantitatively evaluating the care risks of their patients, identifying key risk factors, predicting the possibility of risk occurrence, and which provides a basis for taking targeted measures to enhance the safety and care of OPWD.
Materials and Methods
Ethics Statement
The protocol and content of this study were approved by the Research Ethics Committee of Ningbo College of Health Sciences (NBWY-2019-012). All respondents read and signed an informed consent form prior to participating in the study.
Development of the Care Risk Assessment Scale
The care risk scale for dementia was developed via four steps. First, we systematically reviewed the literature on care risk factors for OPWD to identify factors and establish an initial item pool. Second, we organized an expert consultation meeting comprising six experts in the field of long-term care for dementia to evaluate and revise the initial item pool. Further, we grouped items related to the care risks of homebound OPWD into three factors: (1) dementia symptoms, (2) family support, and (3) home environment. For the three factors, a self-report initial scale containing 16 items was formed. Each item was scored on a 5-point Likert scale ranging from “strongly agree” to “strongly disagree” and coded from 0 to 4. The sum of the scores of all the items was the care risk value. The higher the total score, the greater the care risks. Third, we organized a symposium of 10 OPWD who were selected using purposive sampling. These individuals were interviewed face-to-face using the 16-item initial scale. They were invited to fill out the scale and provide feedback on the items. Subsequently, the scale was revised and expanded to 18 items. Fourth, a pilot study was conducted using the 18-item scale on 20 OPWD who were selected using convenience sampling. The pilot study was conducted to ensure that the items of the scale were clear and understandable to all participants, and the time taken to complete the scale was measured. Finally, the content validity was evaluated be the same six experts. These experts were asked to rate the necessity of each item within the scale on a 3-point scale: 1 = not essential, 2 = useful but not essential, 3 = essential.
Psychometric Test of the Care Risk Assessment Scale
Data Collection, Setting, and Population
The psychometric testing of the 18-item scale was conducted between November 1, 2020 and July 30, 2021, in 103 communities in Ningbo city, Zhejiang province. Trained community medical staff conducted face-to-face household interviews with registered OPWD. The inclusion criteria were: (a) over 60 years old, (b) cared for at their home, (c) diagnosed with dementia by specialists, and (d) able to complete questionnaires on their own. Exclusion criteria were: (a) severely impaired cognitive function and (b) impaired communication. In addition to the data of the risk assessment scale, basic demographic data were also collected.
A total of 1,098 OPWD were identified and selected for inclusion in our study’s interviews, with 53 (4.83%) refusing to participate. Finally, data from a total of 1,045 OPWD were collected. Further, to measure test-retest reliability, a random sample of 100 out of the 1,045 OPWD completed the questionnaire again 20 days later.
Statistical Analysis
All analyses were performed using SPSS (version 25.0; SPSS Inc., Chicago, IL, United States) and AMOS 21.0. The reliability and validity of the scale were measured using the analyses below.
Item Distribution
The frequency distribution of the options of the 18 items in the scale was analyzed, and the items were deleted when the answers showed a skewed distribution. Generally, if the selection rate of any answer for an item exceeds 80%, the item can be considered for deletion (He et al., 2011).
Discrimination Coefficient
The total score for each respondent was calculated and sorted. Respondents who were in the top 25% and bottom 25% of the total scores were recorded, and the average score of these two parts for each item was calculated. The difference between the two average scores was the discrimination coefficient for each item. The larger the difference, the larger the discrimination coefficient; a minimum discrimination coefficient value of 0.5 is accepted (Yin et al., 2012).
Exploratory Factor Analysis and Confirmatory Factor Analysis
Exploratory factor analysis was used to understand the factor structure of the scale. Factor extraction was performed via principal axis factoring. Cattell’s scree plot analysis and an eigenvalue greater than 1 determined the number of factors that we then retained. Factors above the bend or elbow cut-off point were retained for Cattell’s scree plot analysis. The resulting factors were subjected to varimax rotation. Items were retained in each factor when their loading level were more than 0.5. Before performing it, the Kaiser-Meyer-Olkin (KMO) test and Bartlett’s test for sphericity were performed to test for suitability for factor analysis. The minimum recommended value of the KMO is 0.6 (Beavers et al., 2013). Bartlett’s test for sphericity with statistical significance indicates that the data are distributed in a spherical shape and each variable is independent from others, indicating the sample is suitable for factor analysis (Bartlett, 1954). Confirmatory factor analysis was applied to analyze the overall fit of the factor model, with the goodness of fit index (GFI), adjusted GFI (AGFI), root mean square error of approximation (RMSEA), comparative fit index (CFI), and incremental fit index (IFI) all being used to check the fit.
Content Validity
Content Validity Ratio (CVR) proposed by Lawshe (1975) was used to assess the content validity: . In this formula, ne refers to the number of panelists that answered “essential” for each item of the questionnaire, with N then reflecting the total number of panelists. When the CVR value is greater than 0, it means that more than half of the experts agree on the item being essential.
Cronbach’s Alpha
Cronbach’s α was used to assess the internal consistency of the scale (Cronbach, 1951). Cronbach’s α greater than 0.9 indicates satisfactory reliability, between 0.8 and 0.9 indicates acceptable reliability, between 0.7 and 0.8 indicates that certain items should be revised, and below 0.7 indicates that some items should be deleted.
Corrected Item-Total Correlation
This was assessed using the correlation coefficient between the scores of each item of the scale and the scores of the remaining items; a minimum value of 0.3 is accepted (Beavers et al., 2013).
Test-Retest and Split-Half Reliability
Test-retest reliability was estimated by intraclass correlation coefficient (ICC) between the scores of the 100 OPWD who completed the questionnaire twice. Split-half reliability was assessed by Pearson correlation between the scores of the odd items and the even items.
Results
Table 1 presents the demographic characteristics of 1,045 OPWD who completed the care risk scale. There were 558 women (53.39%) and 487 men (46.61%). Most respondents were over 70 years old, accounting for 82.69% of the sample. The average time taken to complete the questionnaire was 8–12 min.
Table 1. Demographic characteristics of the respondents (n = 1,045).
The item analysis results showed that the frequency distribution of each option in all items ranged from 1.1 to 58.6%, which did not exceed the 80% standard. There was no option for a significantly skewed distribution. The discrimination coefficient of each item ranged from 0.294 to 2.128, and three items were deleted because they lacked discrimination power.
Exploratory factor analysis was carried out on the remaining 15 items to determine the construct validity of the scale. The KMO was 0.91, while Bartlett’s test for sphericity yielded extremely significant results (χ2 = 13,958.572; p < 0.0001). The results of the exploratory factor analysis showed that the factor structure of the scale was best represented by three factors (dementia symptoms, family support, home environment), and these three factors accounted for 72.9% of the cumulative variance of the 15 items. Table 2 shows the resulting three factors, their respective items, and factor loadings. The three factors generated by the exploratory factor analysis were consistent with the three factors conceptualized in the design stage, with 15 items showing salient loadings on corresponding factors and no substantial cross-loadings on others. Confirmatory factor analysis was performed on the three-factor model, and resulting in the following values: GFI = 0.934 > 0.9, AGFI = 0.903 > 0.9, RMSEA = 0.065 < 0.08, CFI = 0.967 > 0.9, IFI = 0.967 > 0.9. The CVR of the 15 items ranged from 0.67 to 1.0.
Table 2. Factor loadings of the care risk scale for dementia.
Table 3 presents the results of the reliability analysis. Cronbach’s alpha for the scale was 0.907. The Cronbach’s alpha values for the three factors within the scale were 0.947, 0.921, and 0.929, respectively. The split-half reliability for the scale was 0.863. The test-retest reliability was 0.842. The correlation coefficients in the item-to-total analysis ranged from 0.511 to 0.662. Alpha item deleted (ID α) indicated that removing either item did not improve the internal consistency of the scale. All of these indicate a robust reliability of the scale.
Table 3. Reliability analysis of the care risk scale for dementia.
For the sample data, homebound OPWD had a greater care risk (mean = 25.93, SD = 11.92). The care risk value of the home environment factor was the highest (mean = 9.66, SD = 6.69). The average care risk for dementia symptoms and family support was 9.35 (SD = 4.79) and 6.91 (SD = 4.41), respectively. Moreover, the care risk values were different among different groups homebound OPWD in terms of their gender (p < 0.05), age (p < 0.05) and marital status (p < 0.0001). OPWD who were female, aged 60–69 years, or who lived without a spouse had a greater overall care risk than other groups (Table 4).
Table 4. Care risk values for the homebound older people with dementia.
Discussion
This study developed a 15-item scale for assessing the care risks of homebound OPWD and conducted an item analysis and reliability and validity tests for its validation. The three factors generated by our exploratory factor analysis were consistent with the three factors conceptualized in the design stage, with the correlated factor loadings being high for each factor, which met the recommended value of 0.4 for all factor loadings (Waltz et al., 2016). Furthermore, the cumulative variance of 72.9% of the three factors was higher than the accepted criterion of 40% (Brink and Louw, 2012). These results suggest that the scale is valid. The high Cronbach’s alpha for the overall scale and the three factors indicated a satisfactory reliability.
The final scale contained three factors: dementia symptoms, family support, and home environment, which are similar to those reported in other studies. The “Dementia Care Practice Recommendations for Professionals Working in a Home Setting” released by the Alzheimer’s Association Campaign for Quality Care (Alzheimer’s Association, 2009) proposed that family support plays a vital role in home care for OPWD. Moreover, the recommendations noted that an environmental assessment of the home regarding possible hazards was appropriate. Aspects of the home environment, such as good lighting, comfortable room temperatures, and decreased clutter and other distractions, should reduce a person’s confusion and fear and promote comfort and safety. The “Expert Consensus on the Long-term Healthcare of Patients with Cognitive Disorders in China” (Academy of Cognitive Disorders of China (ACDC) et al., 2016) pointed out that in caring for patients with dementia, an assessment of the personal abilities (e.g., daily living ability, judgment, hobbies), care situation (e.g., family lifestyle, health concept, social support), and living environment (e.g., stability, familiarity, multi-sensory stimulation areas) of OPWD was important.
The scale developed in this study focused on OPWD’s perceptions of their family support and their lived-in environment, which is similar to the studies by Green (2018) and Lee et al. (2019). The assessment framework developed by Lee et al. (2019) aimed to assess whether an activity met the underlying psychosocial needs of OPWD, including having them feel unconditionally accepted and close to others, as well as informing emotional bonds with others. Besides, Lee et al. (2019) considered OPWD’s sense of environment safety was also an important aspect to assess the care risk. The safety implications proposed by Green (2018) suggest that the previous habits of OPWD should be considered in their care planning. The results of our study showed that their living environment is a key factor in the care risk assessment for OPWD, with many studies then proposing the importance of the environment in the care risk assessment for OPWD. The “Home Safety Checklist for Alzheimer’s Disease” developed by the American National Institute on Aging (2017) focused on the safety of the patient’s environment and proposed various items that need to be checked, such as the lighting brightness, step height, and whether the floor is anti-skid, in order to alert OPWD and their caregivers to potential hazards. The safety implications proposed by Green (2018) also focused on the impact of the environmental layout on the care risk of OPWD, with them suggesting that the layout of the kitchen and bathroom should both be safe.
Due to their affected memory, orientation, and judgment, OPWD have a reduced ability to analyze and judge risks and are prone to adverse events such as getting lost or falling. According to the World Health Organization (2015), reduced cognition and disorientation are among the main factors affecting the care risk of OPWD. Zhang et al. (2019) considered the fact that cognitive flexibility and judgment could affect their risk of falls through the resulting increased risk-taking behaviors. Additionally, Smith et al. (2015) suggested that memory loss with dementia could induce problems with medication safety. After 1.5 years of follow-up, Burgio et al. (2007) found that cognitive ability was a key factor in the occurrence of agitation behaviors, with OPWD with severe cognitive impairment exhibiting more anxiety symptoms and were more likely to experience agitation than those with only moderate cognitive impairment. Therefore, in the process of caring for OPWD, their cognitive functions, such as their memory, orientation, and judgment, should be assessed, with targeted training for them being carried out to delay the decline of these functions specifically.
Family members’ help and affective responses are also known to affect the emotions of older people. At the same time, whether a family can support the new activities or the development of older people may affect their care risk. Edwards et al. (2016) pointed out that the relationship between OPWD and their caregivers was closely related to the cognition, physical function, and quality of life of the former. When OPWD lack necessary support, their compressive ability and immune function are both affected (Newcomer et al., 1999; Somme et al., 2012), and then they are prone to agitation and harm. Bessey and Walaszek (2019) found that providing psychological support and spiritual comfort is beneficial to relieve the symptoms of OPWD, thereby improving their mobility. Wolf-Ostermann et al. (2016) found that the level of support received by OPWD had a significant impact on their quality of life. If necessary, support is lacking, their anti-stress ability will be affected and they will be more likely to be exposed to risks. Familiar people and things are important for OPWD. However, caregivers may inevitably showcase some negative emotional reactions and insufficient support for OPWD due to stress, mental exhaustion, and a lack of skills (Cheng, 2017; Pudelewicz et al., 2018). Thus, family support for OPWD should be assessed, with necessary skills training, psychological counseling, and respite services being provided for family caregivers.
Environmental safety, space identification, private space setting, and environmental stimulation all have an impact on care risk. Many studies have pointed out that unstable and disordered environments can induce agitation in OPWD (Goodall, 2006; Marquardt et al., 2014; Wang et al., 2020). For example, too many steps and slippery floors can lead to falls. Thus, the design and layout of the living environment are crucial for the care of OPWD. When designing the living environment for OPWD, its overall safety and the identification of the space should be considered, with an assistive device for reminders then being added. Further, private spaces to rest should be designed for OPWD. Frequent changes of living places should be avoided, with items of special significance to OPWD being placed in obvious positions to enhance the memory of the space.
Limitations and Further Research
The reliability and validity of the scale developed in this study were satisfactory. This scale could be a reliable tool for the care risk assessment of homebound OPWD. However, this study has several limitations. First, similar assessment tools were not used to validate the scale. Second, the study was conducted in one city and may not be representative of OPWD from other areas. Third, the study excluded older people with severe cognitive impairment and who were unable to communicate properly; however, they also face care risks. Future studies should be conducted to further test the applicability and generalizability of the scale.
Conclusion
This study developed a scale to evaluate the care risks of homebound OPWD. Multiple analyses were run to determine the validity and reliability of this scale. The validation analysis indicated satisfactory reliability and validity of the 15-item scale in assessing care risk for homebound OPWD. The scale will help long-term care professionals and family caregivers identify care risks and help them take targeted measures to improve care safety for OPWD.
Data Availability Statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.
Ethics Statement
The studies involving human participants were reviewed and approved by the Research Ethics Committee of Ningbo College of Health Sciences. Participants provided their written informed consent to participate in the study.
Author Contributions
XD conceived, designed the study, analyzed the data, and drafted the manuscript. LZ conducted the study and supported the interpretation of the data. XK and TX contributed to data collection. TS critically revised the manuscript and supported the interpretation of the results. All authors have read and approved the final manuscript.
Funding
We gratefully acknowledge funding support from the Zhejiang Provincial Natural Science Foundation of China (Grant No. LQ20H260006).
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Acknowledgments
We appreciate all the participants who were involved in the study and contributed to the data collection.
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Keywords: dementia, care risk, assessment, reliability, validity, older people
Citation: Dong X, Zhao L, Kong X, Xu T and Sun T (2022) Development of a Psychometric Test: A Care Risk Scale for Homebound Older People With Dementia. Front. Psychol. 13:876173. doi: 10.3389/fpsyg.2022.876173
Received: 16 February 2022; Accepted: 19 April 2022;
Published: 13 May 2022.
Edited by:
Fabrizio Stasolla, Giustino Fortunato University, ItalyReviewed by:
Alessandro Oronzo Caffò, University of Bari Aldo Moro, ItalyMaría Luisa Delgado, Complutense University of Madrid, Spain
Copyright © 2022 Dong, Zhao, Kong, Xu and Sun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Tongda Sun, 301001@nchs.edu.cn
†These authors have contributed equally to this work