Care Needs of Community-Residing Male Patients with Vascular Cognitive Impairment

The effectiveness of virtual passport, an app-based intervention, for dementia care

Background and objectives

This study aimed to confirm the effectiveness of the virtual passport for dementia care.

Research design and methods

The virtual passport is an application (app) tool connecting healthcare professionals, dementia care sites, and people living with dementia (PLWD) and their family caregivers. This tool assists case managers in hospitals by providing individualized care plans and health education to PLWD and their caregivers. The dementia quality indicator achievement rates, care needs investigation and fulfillment, severity of behavioral and psychological symptoms of dementia (BPSD), and changes in caregiver burden and depression are measured at the initial interview and 6 and 12 months after the intervention.

Results

We enrolled 57 and 54 patients and their caregivers in the virtual passport and routine care groups, respectively. Compared to the control group, six quality indicators in the passport group showed significantly higher achievement at 6 months after using the virtual passport. Case managers addressed more care needs at 6 months (1.37 vs 0, p < 0.001) and 12 months (1.32 vs 0, p < 0.001). Improvement in severity of neuropsychiatric symptoms (neuropsychiatric inventory (NPI) irritability/lability difference: -0.58 vs 0.22, p = 0.044; NPI agitation/aggression difference =-0.78 vs 0.00, p = 0.042) were also observed. No obvious influence was found in caregiver burden and depression after using the virtual passport.

Discussion and implications

The virtual passport is an effective information technology tool in improving the quality of dementia care, assisting case management in identifying more care needs, and reducing the severity of BPSD.

Caregivers' Burden on Patients with Dementia Having Multiple Chronic Diseases

Purpose

This study aimed to find the caregiving burden level for patients with dementia who had multiple chronic diseases by simultaneously considering both patient and caregiver factors.

Participants and Methods

A cross-sectional study with 284 patients with dementia having multiple chronic diseases managed by the dementia collaborative care team at Changhua Christian Hospital in Taiwan was conducted. The input variables were from patients, such as age, gender, mood symptoms, and behavioral and psychological symptoms, and caregivers, including age, relation to the patient, caregiver's mood, and caregiving burden. The Apriori algorithm was employed to determine the association between patient and caregiver factors and different caregiving burden levels by setting up the minimum support of 1% and confidence of 90% along with lift >1.

Results

When caring for patients with dementia, twenty scenarios were found for caregivers with a severe burden. In addition, 1936 scenarios were related to caregivers with a moderate-to-severe burden. Specifically, there were eight scenarios for patients with three chronic diseases which could be further categorized into five general rules. Two hundred and fifty scenarios belonging to patients with two chronic diseases could be classified into 16 different combinations from eight chronic diseases of the database.

Conclusion

Caregiver's mood, patients with mild dementia, and patients aged 75-84 years were associated with a severe caregiving burden. College and above education of the caregiver, the patient aged 85 years or more, and at least one of caregiver's moods were the variables to result in a moderate-to-severe burden for caregivers caring for patients with three multiple chronic diseases. Moreover, college and above education of the caregiver, mood symptom, age of the caregiver, and age of the patient were important variables for caregivers who had a moderate-to-severe burden taking care of patients with two chronic diseases.

An analysis of the contents of the young-onset dementia helpline: profiles of clients who consulted the helpline themselves

BACKGROUND

Young-onset dementia (YOD) community care requires personalised approaches. Yet, the specific details of YOD consultations are unclear. This study explored how initial consultations correlate with client profiles.

METHODS

Data from regional YOD helplines were used to analyze the main characteristics of people living with YOD or who had concerns about the possibility of YOD (n = 132). Among several categorical variables, the following were used for analysis: age group, sex, type of living arrangement, employment status, presence of dementia, and content of the consultation. To identify groups of items that frequently occur together, strongly connected rules were identified using association rule analysis with the a priori algorithm. To focus on the characteristics of clients, rules related to client characteristics were extracted based on the type of consultation.

RESULTS

A total of 51 rules were identified for the consultations. These rules fell into two categories: (1) consultations for medical matters, which mainly involved employed individuals with undiagnosed dementia, and (2) other consultations on daily life or work, which mainly involved individuals diagnosed with dementia and were characterised by the influence of sex. These rules indicate the importance of medical involvement in confirming the diagnosis and specific individualised care following diagnosis for people living with YOD.

CONCLUSION

Clients with or without a dementia diagnosis were consulted differently in the YOD helplines. Before receiving a diagnosis, medical matters were the main theme of consultations, whereas after receiving a diagnosis, adjustments to daily life or work were the main themes. The results of this study suggest that the needs of people living with YOD and the services they require may vary depending on their backgrounds.

Neuropsychiatric Symptoms Predict Faster Cognitive Decline in Dementia Collaborative Care Than Antipsychotic Use

Background

To compare short-term cognitive outcomes among groups with and without neuropsychiatric symptoms (NPSs) or antipsychotic prescription and to determine which disease status or treatment modality is associated with relatively faster cognitive decline.

Methods

We retrospectively analyzed a prospective cohort of patients diagnosed with dementia and mild cognitive impairment. All participants were evaluated using the Cognitive Abilities Screening Instrument (CASI) during their initial clinical assessments and at the annual follow-up. The dependent variable was annual delta CASI. Multivariate linear regression analysis was used to assess the degree of association between NPS, antipsychotic use, and cognitive decline after adjusting for confounding factors. Neuropsychiatric symptoms were examined individually to determine their predictive value for cognitive decline.

Results

A total of 407 (N = 407) patients were included in the study. NPSs, rather than antipsychotic use, led to faster cognitive decline. A higher baseline NPI total score predicted a significantly faster decline in CASI scores (1-year delta CASI = -0.22, 95% CI = -0.38~ -0.05, p = 0.010). Specific items (delusions, agitation, depression, anxiety, euphoria, and apathy) in the NPS significantly increased cognitive decline.

Conclusion

Certain neuropsychiatric symptoms, rather than antipsychotic use, lead to faster cognitive decline in a dementia collaborative care model. Checking for and providing appropriate interventions for NPS in people with dementia and their caregivers are highlighted.

Vascular cognitive impairment: When memory loss is not the biggest challenge

OBJECTIVES

Vascular cognitive impairment is the second most common type of cognitive impairment. Care needs of community-dwelling people with vascular cognitive impairment and their caregivers have not been thoroughly studied. Therefore, we aimed to explore care needs of people with vascular cognitive impairment and their family caregivers.

DESIGN

A qualitative interview study.

SETTING AND PARTICIPANTS

Participants were purposefully sampled community-dwelling people with vascular cognitive impairment and their family caregivers.

METHODS

Interviews were audiotaped and transcribed verbatim. Analysis and data collection followed an iterative process, until data saturation was achieved. We conducted 18 interviews (nine people with vascular cognitive impairment and nine caregivers), concerning 13 unique people with vascular cognitive impairment. We analyzed the data using inductive thematic analysis following the Braun & Clark method. The study was reported in accordance with the COREQ criteria.

FINDINGS

Five themes were identified in the care needs reported by people with vascular cognitive impairment and family caregivers: (1) Specific information need with subtheme (1A) No memory problem, no dementia? (2) Being respected as a person, (3) Differing concerns about the future, (4) The roles of the caregiver and (5) Decisiveness from professional healthcare.

CONCLUSIONS AND IMPLICATIONS

The care needs of people with vascular cognitive impairment and their caregivers were affected by (a lack of knowledge about) the characteristic symptoms of this condition. Participants equated cognitive impairment or dementia to memory loss ("Alzheimerization"), although memory loss was not their biggest challenge. People with vascular cognitive impairment and caregivers preferred resolute and decisive healthcare professionals. These professionals activate the person with vascular cognitive impairment who lacks initiative and diminishe role conflict of the caregiver. Care for people with vascular cognitive impairment and their caregivers could be improved by providing tailored information, promoting awareness of neuropsychiatric symptoms, particularly apathy, and by healthcare professionals providing more guidance in decision-making.

Care Need Combinations for Dementia Patients with Multiple Chronic Diseases

Purpose

The purpose of this study was to find care need combinations for dementia patients with multiple chronic diseases and their caregivers.

Patients and Methods

A cross-sectional study was conducted with 83 patients who had multiple chronic diseases. Variables from patients included age, gender, severity of clinical dementia rating, feeding, hypnotics, mobility, getting lost, mood symptoms, and behavioral and psychological symptoms. Moreover, 26 types of care needs were included in this study. The Apriori algorithm was employed to first identify care need combinations and then to find the relationships between care needs and variables from dementia patients with multiple chronic diseases.

Results

Six rules were generated for care need combinations. Four care needs could be formed as a basic care need bundle. Moreover, two additional care needs could be added to provide a wider coverage for patients. In the second stage, 93 rules were found and categorized into three groups, including 2, 6, and 28 general rules with support of 30% but less than 40%, 20% but less than 30%, and 10% but less than 20%, respectively. When the support value is 10% but less than 20%, more variables from patients were found in rules which help the dementia collaborative care team members provide tailor-made care need bundles.

Conclusion

Four basic care needs were social resources referral and legal support (Care (1)), drug knowledge education (Care (3)), memory problem care (Care (5)), and fall prevention (Care (8)). Besides, disease knowledge education (Care (2)) and hypertension care (Care (16)) were frequent unmet needs in this specific population. Moreover, care for the mood of the caregiver (Care (11)) should be considered especially in dementia patients with preserved ambulatory function or with symptoms of hallucination. The collaborative care team should pay more attention to those care needs when assessing this specific population.

Applying Apriori algorithm to explore long-term care services usage status-Variables based on the combination of patients with dementia and their caregivers

Purpose

The aim of this study was to identify the combination of patients with dementia and their caregivers' characteristics associated with long-term care (LTC) services usage.

Patients and methods

A cross-sectional study was conducted with 475 patients with mild, moderate, and severe dementia at Changhua Christian Hospital, Taiwan. Eleven types of variables from patients with dementia, nine types of variables from patients' caregivers, and 15 types of LTC services were used for this study. The Apriori algorithm was employed to identify the attributes from the patients and their caregivers who used a particular LTC service from a comprehensive viewpoint.

Results

A total of 75 rules were generated by the Apriori algorithm with support of 2%, confidence of 80%, and lift >1. Among these rules, 25 rules belonged to home personal care services which were summarized further into four general rules for home personal care services. On the other hand, 50 rules belonged to assistive devices that were summarized further into 21 general rules based on their similarities. Patient's walking ability, patient's emotional liability, unemployed or retired caregivers, caregivers' feelings with either helplessness or hopelessness, and caregivers who cared for patients with dementia solely were found to be the critical variables to use home personal care services. In contrast, patient's walking ability, age, and severity as well as caregivers' age, mood, marital status, caregiving burden, and the patient being cared for mainly by a foreign care helper were found to be the critical variables to use assistive devices.

Conclusion

This study showed preliminary results on the LTC service usage from patients with dementia and their caregivers residing in the community. Understanding the patient-caregiver dyad's profile leads the service providers, policymakers, and the referral team to tailor service provisions better to meet the needs and identify the potential target groups. The findings in this study serve as references to reduce caregivers' burden as well as to improve the quality of care for patients with dementia.

The Effectiveness of Community Aging Care Centers on Global Function for People Living with Dementia

BACKGROUND

The global population with dementia is growing rapidly. Dementia patients have been included in the services of the long-term care Act 2.0, supported by Taiwan's government since 2017. Community aging care centers are extensively established, which are places providing social connections and group physical and cognitive training programs for elderly people.

OBJECTIVE

To elucidate the efficacy of community aging care centers on cognitive function in people with dementia.

METHODS

A total of 1,277 patients with dementia diagnosed at the Changhua Christian Hospital outpatient departments were enrolled. A total of 113 patients who used community aging care centers and 452 subjects matched for age, education, and initial score of clinical dementia rating scale sum of boxes (CDR-SOB) control group were analyzed. The primary outcome was the change in CDR-SOB scores before and after utilization of community aging care centers.

RESULTS

The mean annual change of CDR-SOB scores were 1.72±2.97, 1.08±2.36, and 1.04±3.64 in control, Community Service Centers for Dementia, and community elderly stations, respectively, after about 1.5 years follow-up. Patients with dementia using community aging care centers had significantly less progression in CDR-SOB scores than those in the control group (-0.65; 95% CI: -1.27, -0.03; p = 0.041). Using one more day of community aging care centers per week significantly promotes 0.16 points of CDR-SOB decline (-0.16, 95% CI: -0.31; -0.00; p = 0.045).

CONCLUSION

Community aging care centers, based on the long-term care Act 2.0 in Taiwan, were effective in delaying the decline in global function in people living with dementia.

Prediction of Institutionalization for Patients With Dementia in Taiwan According to Condition at Entry to Dementia Collaborative Care

This study aimed to examine the institutionalization rate in patients with dementia in Taiwan, identify the predictors of institutionalization, and conduct a mediation analysis of caregiver burden between neuropsychiatric symptoms and institutionalization. We analyzed data from a retrospective cohort registered in dementia collaborative care (N = 518). The analyses applied univariate and multivariate Cox proportional hazard regression with Firth's penalized likelihood to assess the relationship between each predictor at entry and institutionalization for survival analysis. Thirty (5.8%) patients were censored due to institutionalization after a median follow-up of one-and-a-half years. Neuropsychiatric symptoms, loss of walking ability, and living alone predicted institutionalization. Caregiver burden may partially mediate the effects of neuropsychiatric symptoms and institutionalization. High caregiver burden due to presence of neuropsychiatric symptoms may partially contribute to institutionalization among people living with dementia in Taiwan. However, proper management of neuropsychiatric symptoms and caregiver empowerment may ameliorate institutionalization risk.

Using the Apriori Algorithm to Explore Caregivers' Depression by the Combination of the Patients with Dementia and Their Caregivers

Purpose

The purpose of this study was to identify the caring scenarios that result in severe depression in caregivers caring for dementia patients.

Patients and Methods

A cross-sectional study with 1111 dementia patients and their caregivers in Taiwan from October 2015 to January 2020 was conducted. Gender, age, type of dementia, clinical dementia rating, walking ability, mood symptoms, behavioral symptoms, and psychological symptoms were the variables from the dementia patients. Age, relation to the patient, employment, type of primary care, frequency of care, mood symptoms, and the score from the Center for Epidemiologic Studies Depression Scale were the variables from the caregivers. A comprehensive viewpoint of both dementia patients and their caregivers was evaluated by the Apriori algorithm to find the attributes resulting in different caregiving depressions.

Results

Forty-seven rules were found with 18 rules of mild depressive symptomatology, 17 rules of moderate depressive symptomatology, and 12 rules of severe depressive symptomatology. A total of 7 general rules were summarized to be the severe depressive symptomatology. The results showed that an unemployed or retired caregiver with the mood symptoms such as helplessness, anger, emotional liability, or anxiety who took care of AD patients or AD patients with a moderate severity would have severe depression. Increased care frequencies (≥6 days per week) and multiple mood problems from caregivers result in severe depression. The composition of adult children, patients' aggression, and caregivers' helplessness as well as the combinations of male patients aged 75-84 years with the caregiver's mood of helplessness or nervousness and hopelessness were highly associated with severe depression.

Conclusion

For those caring for AD patients, severe depression was associated with the combination of different parameters to constitute each of these seven scenarios. Unlike previous studies which often evaluated one or two variables related to caregiver's depression, this study provided a more comprehensive viewpoint that enabled the collaborative team to efficiently identify and manage different scenarios by summarizing the rules of caregivers with severe depression from a systematic viewpoint.

Association Between Caregivers' Burden and Neuropsychiatric Symptoms in Female Patients with Alzheimer's Disease with Varying Dementia Severity

Purpose

This study examined the attributes causing higher burdens for caregivers caring for female patients with Alzheimer’s disease by analyzing a combination of various variables, including demographic data, dementia severity, and neuropsychiatric symptoms.

Patients and Methods

This study included 99 female patients with Alzheimer’s disease who were cared for by the dementia collaborative care team at Changhua Christian Hospital, Taiwan. Neuropsychiatric symptoms used in this study included affections (9 types), behavior symptoms (9 symptoms), and psychological symptoms (3 symptoms). The Apriori algorithm was employed to identify association rules that reveal the relationships among demographic data, dementia severity, neuropsychiatric symptoms, and caregivers’ burden.

Results

A total of 185 rules were determined, including 51 rules with little or no burden, 108 rules with mild to moderate burden, and 26 rules with moderate to severe burden. The major findings are as follows. Neuropsychiatric symptoms were associated with varying degrees of caregivers’ burden among female patients aged 75 to 84 years with mild dementia. Crying spells and aggression were specifically associated with a moderate to severe burden. Delusion was associated with a mild to moderate and moderate to severe burden. Dysthymia and depression were associated with little or no burden to moderate to severe burden.

Conclusion

Clinicians can provide early interventions to reduce the burden of caregivers caring for female patients with Alzheimer’s disease and can refer caregivers for timely assistance to reduce their burden.

Characteristics Predicting a High Caregiver Burden in Patients with Vascular Cognitive Impairment: Using the Apriori Algorithm to Delineate the Caring Scenario

Purpose

The aim of this study was to elucidate the factors and caring scenarios associated with a moderate to severe care burden in the caregivers of patients with vascular cognitive impairment (VCI).

Patients and Methods

This cross-sectional study included 158 patients with VCI and their caregivers who were managed by the dementia collaborative care team at Changhua Christian Hospital, Taiwan. Gender, age, clinical dementia rating, walking ability, behavioral symptoms, and psychological symptoms were the variables from the patients with VCI. Age, marital status, relation to the VCI patient, education, employment status, help of key activities, type of primary care, frequency of care, ZBI (Zarit burden interview) caregiving burden, and caregiver's mood were the evaluated variables for the caregivers. The Apriori algorithm was used to identify the attributes that resulted in different caregiving burdens from a comprehensive viewpoint of both VCI patients and their caregivers.

Results

A total of 1193 rules were identified with 1134 rules belonging to caregivers with a mild to moderate burden and 59 rules belonging to caregivers with a moderate to severe burden. Seven general rules were created based on a summary of these 59 rules. The results showed that an employed female caregiver who was taking care of her husband alone for ≥6 days per week, and who was helping with all key activities was likely to experience a moderate to severe burden when the patient had VCI. Moreover, if the caregiver had a relatively low education level and expressed an abnormal mood during the assessment, this increased the likelihood of the caregiver having a moderate to severe burden.

Conclusion

The caregiver's gender, relation to the care recipient, education level, mood status, employment status, and care loading were associated with a higher burden of care for caregivers of patients with VCI. Therefore, a dementia care team should provide personalized training for caregivers about the disease, care skills for specific behaviors and psychological symptoms of dementia (BPSD), and strategies to cope with their own feelings. Caregivers should also be referred to appropriate social resources, such as support groups or respite care.