A Prediction Model for Depression in Patients with Parkinson's Disease

Role of Occupational Therapy in Facilitating Participation Among Caregivers of People With Parkinson's Disease: A Systematic Review

IMPORTANCE

Caregivers play a critical role in facilitating the performance of people with Parkinson's disease (PD). Knowledge on how occupational therapy practitioners can mitigate the negative effects of caregiving is needed to enable caregiver participation.

OBJECTIVE

To explore the effectiveness of interventions within the scope of occupational therapy practice for caregivers of people with PD to facilitate or maintain their participation in the caregiver role.

DATA SOURCES

We conducted a systematic review of the literature published in CINAHL, MEDLINE, PsycINFO, and OTseeker between 2011 and 2019. Article reference lists were also hand searched for additional articles. Study Selection and Data Collection: Articles were screened and evaluated using the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) guidelines. The review was conducted in accordance with steps outlined by the American Occupational Therapy Association's Evidence-Based Practice Project.

FINDINGS

Six articles met the inclusion criteria. Interventions in each article were distinct, prohibiting theme development. Overall, the strength of evidence was low, and the risk of bias was high. None of the studies included in this review were obtained from the occupational therapy literature.

CONCLUSIONS AND RELEVANCE

Little evidence is available to support interventions within the scope of occupational therapy practice for caregivers of people with PD. Existing evidence suggests that interventions need to be flexible (e.g., in terms of time, cost, and delivery method) and tailored to the unique needs of this population. What This Article Adds: There is a continued need to develop occupational therapy interventions that support participation in the caregiving role for caregivers of people with PD.

Development of a depression in Parkinson's disease prediction model using machine learning

BACKGROUND

It is important to diagnose depression in Parkinson’s disease (DPD) as soon as possible and identify the predictors of depression to improve quality of life in Parkinson’s disease (PD) patients.

AIM

To develop a model for predicting DPD based on the support vector machine, while considering sociodemographic factors, health habits, Parkinson's symptoms, sleep behavior disorders, and neuropsychiatric indicators as predictors and provide baseline data for identifying DPD.

METHODS

This study analyzed 223 of 335 patients who were 60 years or older with PD. Depression was measured using the 30 items of the Geriatric Depression Scale, and the explanatory variables included PD-related motor signs, rapid eye movement sleep behavior disorders, and neuropsychological tests. The support vector machine was used to develop a DPD prediction model.

RESULTS

When the effects of PD motor symptoms were compared using “functional weight”, late motor complications (occurrence of levodopa-induced dyskinesia) were the most influential risk factors for Parkinson's symptoms.

CONCLUSION

It is necessary to develop customized screening tests that can detect DPD in the early stage and continuously monitor high-risk groups based on the factors related to DPD derived from this predictive model in order to maintain the emotional health of PD patients.

Unmet needs of people with Parkinson's disease: A cross-sectional study

AIMS

To identify the type and extent of unmet needs in people with Parkinson's disease and to examine the impact of health locus of control and family support on these needs.

DESIGN

A cross-sectional study.

METHODS

This study was conducted from October 2015 - February 2016 in Korea. Data were collected through questionnaires focusing on unmet needs, health locus of control, family support and clinical features.

RESULTS

Therapeutic needs represented the highest percentage of unmet needs in people with Parkinson's disease (85.05%), followed by social/spiritual/emotional needs (82.72%). Physical needs were the lowest reported score (75.01%). Unmet needs were more frequent in those with more severe non-motor symptoms. Also, higher family support, internal locus of control and doctor locus of control were correlated with more unmet needs.

CONCLUSION

Understanding factors that determine the type and degree of unmet needs in people with PD is important to provide appropriate nursing care. The findings of this study can be used for providing nursing interventions reflecting unmet needs and reducing their unmet needs to improve the overall well-being of people with PD.

IMPACT

This study addressed unmet needs unmet needs specific to Parkinson's disease with respect to their nursing needs. Therapeutic needs were the highest unmet needs in people with PD, followed by social/spiritual/emotional needs, need for certainty and physical needs. The findings may be useful for nurses to identify the unmet needs of people with PD which need to be addressed. By reflecting on unmet needs, nurses can give personally tailored nursing care.