Characteristics of Changes in Caregiver Burden during Follow-up at a Memory Clinic: A Retrospective Cohort Study.

Background: Because dementia is a long-term condition, the appropriate involvement of health-care professionals is considered important. However, little is known about the factors associated with changes in family caregiver burden. Objective: To clarify changes in family caregiver burden and associated factors during follow-up at a memory clinic. Methods: A retrospective cohort study was conducted, enrolling 495 pairs of patients with dementia or mild cognitive impairment and their family caregivers. A total of 120 pairs completed the second evaluation. The caregiver burden was assessed using the Zarit Burden Interview (ZBI). Data at the initial visit and after an average follow-up of about 2 years were compared and analyzed. Results: At initial visit, the patients' mean age, Mini-Mental State Examination (MMSE) and ZBI scores were 78.6±5.6 years, 23.3±3.5, and 22.6±16.7, respectively. At follow-up, MMSE scores decreased (21.4±4.5, p < 0.001), but ZBI scores remained similar (22.5±13.6). When the difference in ZBI scores between the two time points was defined as ΔZBI, and the related factors were analyzed by multiple regression analysis, ZBI scores at the initial visit, start of psychotropic drug, and decrease of neuropsychiatric symptoms were identified as significant factors (p < 0.001, p = 0.003, p < 0.001, respectively). A significant negative correlation was found between ZBI scores at the initial visit and ΔZBI (r = -0.588, p < 0.001). Conclusions: These findings suggest the importance of assessing changes in the burden experienced by family caregivers during the disease follow-up.

Improved upper extremity function following low-frequency hybrid assistive neuromuscular dynamic stimulation therapy in a patient with hemiplegia: A case report.

BACKGROUND: Although hybrid assistive neuromuscular dynamic stimulation (HANDS) therapy may improve upper extremity functionality in patients with paralysis or paresis due to stroke, it is usually only provided in hospitals as a frequent intervention during the phase of early recovery in stroke. Home-based rehabilitation is limited by frequency and duration of visits. PURPOSE: To investigate the effectiveness of low-frequency HANDS therapy using motor function assessment. STUDY DESIGN: Case report. METHODS: We performed HANDS therapy for 1 month on the patient, who was a woman in her 70s with left-sided hemiplegia. It was initiated on day 183 post the onset of stroke. Movement and motor function were evaluated using the Fugl-Meyer Assessment upper-extremity (FMA-UE) motor items and the Motor Activity Log consisting of Amount of Use (MAL-AOU), as well as Quality of Movement (MAL-QOM) scales. This evaluation was performed before starting HANDS therapy and after its conclusion. RESULTS: Following HANDS therapy, there was improvement in the FMA-UE (21 points â†’ 28 points), MAL-AOU (0.17 points â†’ 0.33 points), and MAL-QOM (0.08 points â†’ 0.33 points) scores when compared to the scores before therapy, and the patient was able to use both hands for activities of daily living (ADLs). CONCLUSIONS: Low-frequency HANDS therapy combined with encouragement to include the affected hand in ADLs may improve upper extremity function in cases of paralysis.

The use of a companion robot to improve depression symptoms in a community-dwelling older adult during the coronavirus disease 2019 state of emergency.

Objective: We investigated the impact of using a companion robot on the mental state of a community-dwelling older adult who was receiving home-visit rehabilitation services during the state of emergency for coronavirus disease 2019 (COVID-19). Methods: This case involved an 80-year-old woman with compression fractures of lumbar vertebrae 1 and 2. Her medical history included hypothyroidism, hypertension, dyslipidemia, and depression. The companion robot used was Smibi®, a healing baby robot that responds in various ways depending on how the user interacts with it. The patient interacted (e.g., hugging, conversing) with Smibi® for 30 minutes per day for 1 month, from April 2020 (immediately before the declaration of a state of emergency in Japan) to May 2020. The patient was evaluated with the Self-Rating Depression Scale (SDS) before and after using Smibi®. Results: The SDS score decreased from 37 points to 26 points after the use of Smibi®. The items related to diurnal variation, sleep, despair about the future, and dissatisfaction decreased by 2-3 points. Conclusion: Our findings suggest that interacting with Smibi® may improve depression in older adults who have been forced to refrain from going out due to the spread of COVID-19. Future studies with long-term follow-up and large sample sizes are required to confirm the effectiveness of companion robots in improving depression among community-dwelling older adults.

Acquisition Status of Basic Clinical Skills in Japanese Novice Rehabilitation Therapists: A Preliminary Single-Center Study.

The number of post-graduate rehabilitation therapists (novice therapists) is increasing due to the growing demand for rehabilitation services in Japan. This study investigated the acquisition status of Japanese novice therapists' basic clinical skills to clarify their quality and characteristics. Eleven participants' basic clinical skills (eight physical and three occupational therapists) were assessed using an Objective Structured Clinical Examination. Tasks included exercises of joint range of motion, muscle strengthening, getting up, standing up and sitting down, and transferring between wheelchair and bed. Assessment items were subdivided into categories: attitude, preparation, intervention, safety management, and feedback. One-way ANOVA and Friedman test were used for statistical analysis to compare the data between tasks and categories. The scores for each task's achievement rate were not statistically significant. However, the achievement rate of each category including tasks was 92.6% (SD 4.0%) for attitude, 81.4% (SD 11.1%) for preparation, 77.9% (SD 14.7%) for intervention, 87.6% (SD 17.3%) for safety management, and 64.0% (SD 14.2%) for feedback. There were significant differences between attitude and feedback (p < 0.001), and between safety management and feedback (p = 0.012). Post-graduate training programs should focus on improving the quality of clinical skills, especially in skills related to feedback.

Finger Tapping Test for Assessing the Risk of Mild Cognitive Impairment.

Aim: A testing method for early diagnosis of Mild cognitive dementia (MCI) that can be easily applied in clinical practice was investigated in this study. We examined whether MCI risk can be determined through finger movements. Methods: Between 2013 and 2020, 1097 individuals were screened. After applying propensity-score matching to adjust for variability between the groups, 173 individuals each in the mild cognitive impairment and control groups were selected. Thereafter, differences between groups in mean values of parameters extracted from finger tap movements were determined using unpaired t-test and effect size. Furthermore, area under the curve, sensitivity, and specificity were calculated from the receiver operating characteristic curve for parameters with significant difference. Results: A significant difference was observed, especially in the number of taps in the MCI group compared with that in the control group (p < .001; 95% CI, -12.7 to -8.8; r = 0.51). A cut-off value of 30 taps was applied (sensitivity, 0.77; specificity, 0.67; AUC, 0.79). Significant differences were also observed in rhythm-related parameters. Conclusions: These parameters might be useful for capturing MCI risk. Finger taps are easily measured and may be suitable for screening large populations. This tool might be used as a supplemental method to increase the sensitivity of traditional cognitive tests.

Relationship between finger movement characteristics and brain voxel-based morphometry.

BACKGROUND: Aging is the most significant risk factor for dementia. Alzheimer's disease (AD) accounts for approximately 60-80% of all dementia cases in older adults. This study aimed to examine the relationship between finger movements and brain volume in AD patients using a voxel-based reginal analysis system for Alzheimer's disease (VSRAD) software. METHODS: Patients diagnosed with AD at the Center for Comprehensive Care and Research on Memory Disorders were included. The diagnostic criteria were based on the National Institute on Aging-Alzheimer's Association. A finger-tapping device was used for all measurements. Participants performed the tasks in the following order: with their non-dominant hand, dominant hand, both hands simultaneously, and alternate hands. Movements were measured for 15 s each. The relationship between distance and output was measured. Magnetic resonance imaging measurements were performed, and VSRAD was conducted using sagittal section 3D T1-weighted images. The Z-score was used to calculate the severity of medial temporal lobe atrophy. Pearson's product-moment correlation coefficient analyzed the relationship between the severity of medial temporal lobe atrophy and mean values of the parameters in the finger-tapping movements. The statistical significance level was set at <5%. The calculated p-values were corrected using the Bonferroni method. RESULTS: Sixty-two patients were included in the study. Comparison between VSRAD and MoCA-J scores corrected for p-values showed a significant negative correlation with the extent of gray matter atrophy (r = -0. 52; p< 0.001). A positive correlation was observed between the severity of medial temporal lobe atrophy and standard deviation (SD) of the distance rate of velocity peak in extending movements in the non-dominant hand (r = 0. 51; p< 0.001). CONCLUSIONS: The SD of distance rate of velocity peak in extending movements extracted from finger taps may be a useful parameter for the early detection of AD and diagnosis of its severity.

Assessment of finger motor function that reflects the severity of cognitive function.

OBJECTIVES: We conducted a finger tapping movement test using a finger tapping device with magnetic sensors (UB-2) and performed multiple regression analyses using a number of finger movements parameters to estimate the severity of cognitive impairment. METHODS: The subjects of this study were 64 patients, including 44 diagnosed with Alzheimer's disease (AD) (mean age: 73.8±7.0 years) and 20 diagnosed with mild cognitive impairment (MCI) (mean age: 76.7±4.2 years). For the finger-tapping movement tasks, we tested single-hand (left and right) tapping, simultaneous tapping of both hands, and alternate tapping between hands. After measurement, multiple regression analysis adjusted for age and sex was performed to predict the Mini-Mental State Examination (MMSE) score from the calculated hand parameters. RESULTS: Relatively high standardized partial regression coefficients were observed for the following two parameters: standard deviation (SD) of distance rate of velocity peak in extending movement and the SD of contact duration. The coefficients of determination (R2) ranged between 0.1 to 0.28. CONCLUSIONS: Our results suggest the possibility that these parameters may be used to assess cognitive function. We shall obtain large-scale data from older people to examine the possibility of these parameters to be used as an early diagnostic tool for dementia patients.

Differences among patients with Alzheimer's disease, older adults with mild cognitive impairment and healthy older adults in finger dexterity.

AIM: We have developed a smart terminal device for screening finger function, and investigated the capability of this tool for detecting abnormalities of finger dexterity. METHODS: Finger dexterity was measured for 31 patients with Alzheimer's disease (AD group), 15 people diagnosed with mild cognitive impairment (MCI group) and 48 family members (healthy older adult group) as the control. Cognitive function was assessed using the Mini-Mental State Examination. RESULTS: There were significant differences between the AD and control group in response time, rhythm and contact duration (P ≤ 0.05), and a negative correlation was identified between contact duration and Mini-Mental State Examination score (-0.36 to -0.5; P ≤ 0.05). Also, there were significant differences between the AD and MCI group in response time and contact duration (P ≤ 0.05). DISCUSSION: These results show that declines in finger dexterity can reflect declining cognitive function, and that measurement of finger dexterity using our smart terminal device can facilitate screening of large groups for MCI or AD. Geriatr Gerontol Int 2018; 18: 907-914.