Neurologist care in Parkinson disease: a utilization, outcomes, and survival study

There is 'no cure for caregiving': the experience of women caring for husbands living with Parkinson's disease

BACKGROUND

Parkinson's disease is a progressive neurodegenerative disorder. The majority of the nearly 9 million people living with Parkinson's disease are men. As such, caregiving is often assumed by wives as the disease progresses. However, there is little research about the lived experience of wives as they transition to caregivers.

OBJECTIVE

To describe the lived experience of wife caregivers of male spouses living at home with Parkinson's disease.

METHODS

A descriptive phenomenological study. Semi-structured interviews were recorded and transcribed for analysis in Atlas.ti using Colaizzi's method.

RESULTS

Thirteen women, aged 50 to 83 years, were interviewed. Five themes emerged from the analysis, (1) caregiver who? (2) taking it day by day, (3) not sure what to do next, (4) just too much, and (5) caring is your soul's growth, to support the central theme "there is no cure for caregiving."

CONCLUSION

Transitioning from wife to caregiver was a gradual but difficult process. Although the wife caregivers wanted to be part of the health care team, they remained outsiders. Clinicians need to recognize the wives as care coordinators linking medical management with home care. Policy makers need to develop reimbursement models that provide wife caregivers with support groups, education programs, and telemental health services.

Integrating Big Data, Artificial Intelligence, and motion analysis for emerging precision medicine applications in Parkinson's Disease

One of the key challenges in Big Data for clinical research and healthcare is how to integrate new sources of data, whose relation to disease processes are often not well understood, with multiple classical clinical measurements that have been used by clinicians for years to describe disease processes and interpret therapeutic outcomes. Without such integration, even the most promising data from emerging technologies may have limited, if any, clinical utility. This paper presents an approach to address this challenge, illustrated through an example in Parkinson's Disease (PD) management. We show how data from various sensing sources can be integrated with traditional clinical measurements used in PD; furthermore, we show how leveraging Big Data frameworks, augmented by Artificial Intelligence (AI) algorithms, can distinctively enrich the data resources available to clinicians. We showcase the potential of this approach in a cohort of 50 PD patients who underwent both evaluations with an Integrated Motion Analysis Suite (IMAS) composed of a battery of multimodal, portable, and wearable sensors and traditional Unified Parkinson's Disease Rating Scale (UPDRS)-III evaluations. Through techniques including Principal Component Analysis (PCA), elastic net regression, and clustering analysis we demonstrate how this combined approach can be used to improve clinical motor assessments and to develop personalized treatments. The scalability of our approach enables systematic data generation and analysis on increasingly larger datasets, confirming the integration potential of IMAS, whose use in PD assessments is validated herein, within Big Data paradigms. Compared to existing approaches, our solution offers a more comprehensive, multi-dimensional view of patient data, enabling deeper clinical insights and greater potential for personalized treatment strategies. Additionally, we show how IMAS can be integrated into established clinical practices, facilitating its adoption in routine care and complementing emerging methods, for instance, non-invasive brain stimulation. Future work will aim to augment our data repositories with additional clinical data, such as imaging and biospecimen data, to further broaden and enhance these foundational methodologies, leveraging the full potential of Big Data and AI.

Descriptive study of general practitioner's practices and knowledge about Parkinson's disease in the north of France

BACKGROUND

Parkinson's disease (PD), the second most frequent neurodegenerative disease, constitutes a major public health challenge. A guide published by the French National Authority for Health in 2012 and revised in 2016 put forward recommendations for general practitioners (GP) planning care pathways for parkinsonian patients. It is well known that PD can be difficult to diagnose, and that when patients consult their GP, symptoms are often still limited and embedded in clinical uncertainty. This means the pathway to confirmed diagnosis of PD can be lengthy and uncertain. Consequently, it is important to identify the difficulties GPs encounter when caring for PD patients in order to help them better close the gaps in care strategies.

METHODS

We conducted a descriptive cross-sectional survey in northern France to evaluate GP practices and knowledge about PD and their accordance with care pathway recommendations. The survey was conducted using a 30-item questionnaire sent to a sample of GPs.

RESULTS

There were 164 GPs who responded to the study questionnaire. The responding GPs generally followed current care pathway recommendations. In presence of a parkinsonian syndrome, 93.3% of the GPs reported systematically looking for an iatrogenic cause; 57.4% did not announce the diagnosis without the advice of a neurologist; 97.6% referred patients to a neurologist when they suspected PD; and 80.5% asked the neurologist to modify treatments. Our findings also revealed some difficult aspects of GP practices: only 2.5% had had additional training in neurology; only 53.6% felt comfortable with the diagnosis of PD; 63.6% prescribed additional exams for the diagnosis; most of the GPs were unaware of second-line treatments and their indications, and finally existence of PD expert centers was unknown for 85.2%.

CONCLUSIONS

These findings could be useful to guide implementation of new measures supporting more holistic care for PD patients; PD expert centers in France could provide complementary information and training for GPs.

Comprehensive real time remote monitoring for Parkinson's disease using Quantitative DigitoGraphy

People with Parkinson's disease (PWP) face critical challenges, including lack of access to neurological care, inadequate measurement and communication of motor symptoms, and suboptimal medication management and compliance. We have developed QDG-Care: a comprehensive connected care platform for Parkinson's disease (PD) that delivers validated, quantitative metrics of all motor signs in PD in real time, monitors the effects of adjusting therapy and medication adherence and is accessible in the electronic health record. In this article, we describe the design and engineering of all components of QDG-Care, including the development and utility of the QDG Mobility and Tremor Severity Scores. We present the preliminary results and insights from an at-home trial using QDG-Care. QDG technology has enormous potential to improve access to, equity of, and quality of care for PWP, and improve compliance with complex time-critical medication regimens. It will enable rapid "Go-NoGo" decisions for new therapeutics by providing high-resolution data that require fewer participants at lower cost and allow more diverse recruitment.

Determining the impact of specialized care on health outcomes and health care utilization in Parkinsonism

BACKGROUND

Although care of Parkinsonism (PKM) is assumed to be optimally provided by movement disorder neurologists within an interdisciplinary clinic model, there is a paucity of published data to support this.

OBJECTIVES

To investigate the impact of movement disorder neurologist care of individuals with Parkinsonism (PKM).

METHODS

A retrospective exposure design was adopted using administrative data. Incident PKM individuals were identified in billing claims. A nine-year exposure period to movement disorder neurologist, general neurologist and non-neurologist care was calculated based on the billing codes. Regression models were used to test the association of provider exposure on time to death and long-term care (LTC) admission. Linear models were used to test varying provider exposure and hospital admissions, hospital days and emergency department visits.

RESULTS

1914 incident individuals were identified. There was no difference in PKM mortality, emergency visits, hospital admissions, or hospital days between providers, however exposure to general neurology and non-neurology care was associated with a significantly higher risk of admission to LTC compared to movement disorder neurologist care (HR 1.43; 95% CI 1.09-1.87 for general neurology (p-value = 0.0089); HR 1.61; 95% CI 1.25-2.05 for non-neurology (p-value = 0.0002), respectively.

CONCLUSION

Movement disorder neurologist care is associated with a lower risk of admission to LTC over general neurologist care in individuals with PKM.

Patterns and determinants of health care utilization among people with Parkinson's disease: A population-based analysis in Ontario, Canada

In Ontario, despite the increasing prevalence of Parkinson's disease (PD), barriers to access-to-care for people with Parkinson's disease (PwP) and their caregivers are not well understood. The objective of this study is to examine spatial patterns of health care utilization among PwP and identify factors associated with PD-related health care utilization of individuals in Ontario. We employed a retrospective, population-based study design involving administrative health data to identify PwP as of March 31, 2018 (N = 35,482) using a previously validated case definition. An enhanced 2-step floating catchment area method was used to measure spatial accessibility to PD care and a descriptive spatial analysis was conducted to describe health service utilization by geographic area and specialty type. Negative binomial regression models were then conducted to identify associated geographic, socioeconomic, comorbidity and demographic factors. There was marked spatial variability in PD-related service utilization, with neurology and all provider visits being significantly higher in urban areas (CMF>1.20; p<0.05) and family physician visits being significantly higher (CMF >1.20; p<0.05) in more rural areas and remote areas. More frequent visits to family physicians were associated with living in rural areas, while less frequent visitation was associated with living in areas of low spatial accessibility with high ethnic concentration. Visits to neurologists were positively associated with living in areas of high spatial accessibility and with high ethnic concentration. Visits to all providers were also positively associated with areas of high spatial accessibility. For all outcomes, less frequent visits were found in women, older people, and those living in more deprived areas as years living with PD increased. This study demonstrates the importance of geographic, socioeconomic and individual factors in determining PwP's likelihood of accessing care and type of care provided. Our results can be expected to inform the development of policies and patient care models aimed at improving accessibility among diverse populations of PwP.

Neurological Examination via Telemedicine: An Updated Review Focusing on Movement Disorders

Patients with movement disorders such as Parkinson's disease (PD) living in remote and underserved areas often have limited access to specialized healthcare, while the feasibility and reliability of the video-based examination remains unclear. The aim of this narrative review is to examine which parts of remote neurological assessment are feasible and reliable in movement disorders. Clinical studies have demonstrated that most parts of the video-based neurological examination are feasible, even in the absence of a third party, including stance and gait-if an assistive device is not required-bradykinesia, tremor, dystonia, some ocular mobility parts, coordination, and gross muscle power and sensation assessment. Technical issues (video quality, internet connection, camera placement) might affect bradykinesia and tremor evaluation, especially in mild cases, possibly due to their rhythmic nature. Rigidity, postural instability and deep tendon reflexes cannot be remotely performed unless a trained healthcare professional is present. A modified version of incomplete Unified Parkinson's Disease Rating Scale (UPDRS)-III and a related equation lacking rigidity and pull testing items can reliably predict total UPDRS-III. UPDRS-II, -IV, Timed "Up and Go", and non-motor and quality of life scales can be administered remotely, while the remote Movement Disorder Society (MDS)-UPDRS-III requires further investigation. In conclusion, most parts of neurological examination can be performed virtually in PD, except for rigidity and postural instability, while technical issues might affect the assessment of mild bradykinesia and tremor. The combined use of wearable devices may at least partially compensate for these challenges in the future.

Adherence to practice parameters in Medicare beneficiaries with amyotrophic lateral sclerosis

OBJECTIVE

Physician adherence to evidence-based clinical practice parameters impacts outcomes of amyotrophic lateral sclerosis (ALS) patients. We sought to investigate compliance with the 2009 practice parameters for treatment of ALS patients in the United States, and sociodemographic and provider characteristics associated with adherence.

METHODS

In this population-based, retrospective cohort study of incident ALS patients in 2009-2014, we included all Medicare beneficiaries age ≥20 with ≥1 International Classification of Diseases, Ninth Revision, Clinical Modification ALS code (335.20) in 2009 and no prior years (N = 8,575). Variables of interest included race/ethnicity, sex, age, urban residence, Area Deprivation Index (ADI), and provider specialty (neurologist vs. non-neurologist). Outcomes were use of practice parameters, which included feeding tubes, non-invasive ventilation (NIV), riluzole, and receiving care from a neurologist.

RESULTS

Overall, 42.9% of patients with ALS received neurologist care. Black beneficiaries (odds ratio [OR] 0.56, 95% confidence interval [CI] 0.47-0.67), older beneficiaries (OR 0.964, 95% CI 0.961-0.968 per year), and those living in disadvantaged areas (OR 0.70, 95% CI 0.61-0.80) received less care from neurologists. Overall, only 26.7% of beneficiaries received a feeding tube, 19.2% NIV, and 15.3% riluzole. Neurologist-treated patients were more likely to receive interventions than other ALS patients: feeding tube (OR 2.80, 95% CI 2.52-3.11); NIV (OR 10.8, 95% CI 9.28-12.6); and riluzole (OR 7.67, 95% CI 6.13-9.58), after adjusting for sociodemographics. These associations remained marked and significant when we excluded ALS patients who subsequently received a code for other diseases that mimic ALS.

CONCLUSIONS

ALS patients treated by neurologists received care consistent with practice parameters more often than those not treated by a neurologist. Black, older, and disadvantaged beneficiaries received less care consistent with the practice parameters.

Old problems, new solutions: harnessing technology and innovation in Parkinson's disease-evidence and experiences from Thailand

The prevalence of Parkinson's disease (PD) is increasing rapidly worldwide, but there are notable inequalities in its distribution and in the availability of healthcare resources across different world regions. Low- and middle-income countries (LMICs), including Thailand, bear the highest burden of PD so there is an urgent need to develop effective solutions that can overcome the many regional challenges associated with delivering high-quality, and equitable care to a diverse population with limited resources. This article describes the evolution of healthcare delivery for PD in Thailand, as a case example of a LMIC. The discussions reflect the author's presentation at the Yoshikuni Mizuno Lectureship Award given during the 8th Asian and Oceanian Parkinson's Disease and Movement Disorders Congress in March 2023 for which he was the 2023 recipient. The specific challenges faced in Thailand are reviewed along with new solutions that have been implemented to improve the knowledge and skills of healthcare professionals nationally, the delivery of care, and the outcomes for PD patients. Technology and innovation have played an important role in this process with many new tools and devices being implemented in clinical practice. Without any realistic prospect of a curative therapy in the near future that could halt the current PD pandemic, it will be necessary to focus on preventative lifestyle strategies that can help reduce the risk of developing PD such as good nutrition (EAT), exercise (MOVE), good sleep hygiene (SLEEP), and minimizing environmental risks (PROTECT), which should be initiated and continued (REPEAT) as early as possible.

Disparities in Access to Deep Brain Stimulation for Parkinson's Disease and Proposed Interventions: A Literature Review

BACKGROUND

Deep brain stimulation (DBS) is an effective therapy for Parkinson's disease (PD), but disparities exist in access to DBS along gender, racial, and socioeconomic lines.

SUMMARY

Women are underrepresented in clinical trials and less likely to undergo DBS compared to their male counterparts. Racial and ethnic minorities are also less likely to undergo DBS procedures, even when controlling for disease severity and other demographic factors. These disparities can have significant impacts on patients' access to care, quality of life, and ability to manage their debilitating movement disorders.

KEY MESSAGES

Addressing these disparities requires increasing patient awareness and education, minimizing barriers to equitable access, and implementing diversity and inclusion initiatives within the healthcare system. In this systematic review, we first review literature discussing gender, racial, and socioeconomic disparities in DBS access and then propose several patient, provider, community, and national-level interventions to improve DBS access for all populations.

Challenges Faced by Rural Health Care Providers Caring for Parkinson's Disease Patients in Neighbor Islands of Hawai'i

When compared to their urban counterparts, rural regions have worse health outcomes and more challenges in health care access. As the only island state in the US, Hawai'i's unique geographic layout may magnify these disparities. However, there are limited publications on the impact of urban-rural disparities in health care in Hawai'i. The study team aimed to identify the challenges rural health care providers face when managing treatment of Parkinson's disease (PD), a complex disease. A self-administered survey was sent to 247 eligible providers who practiced in Hawai'i and prescribed PD medications from 2017-2019. The survey assessed: provider's comfort level in PD management; utilization and accessibility of health care services; perspective on barriers to PD care; and perspective on telemedicine. Providers were categorized into O'ahu providers (OP, urban) and neighbor island (Hawai'i, Kaua'i, and Maui) providers (NIP, rural). The final sample size was 44 providers (18% response rate). NIP were significantly less likely than OP to report access to social workers (P=.025), geriatric services (P=.001), and psychologist/psychiatrist/mental health professionals (P=.009). There were no statistical differences in: criteria used for PD diagnosis, resources utilized for PD education, and comfort in prescribing PD medications. The findings show that NIP are just as engaged and capable in providing PD care as OP. However, NIP encounter more limitations to accessibility, which can affect the quality of PD care that their rural patients receive. Further research is needed to understand how these limitations affect health-related outcomes in PD as well as other chronic diseases.

Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson's disease

Background

Impaired motor and cognitive function can make travel cumbersome for People with Parkinson's disease (PwPD). Over 50% of PwPD cared for at the University of Arkansas for Medical Sciences (UAMS) Movement Disorders Clinic reside over 30 miles from Little Rock. Improving access to clinical care for PwPD is needed.

Objective

To explore the feasibility of remote clinic-to-clinic telehealth research visits for evaluation of multi-modal function in PwPD.

Methods

PwPD residing within 30 miles of a UAMS Regional health center were enrolled and clinic-to-clinic telehealth visits were performed. Motor and non-motor disease assessments were administered and quantified. Results were compared to participants who performed at-home telehealth visits using the same protocols during the height of the COVID pandemic.

Results

Compared to the at-home telehealth visit group (n = 50), the participants from regional centers (n = 13) had similar age and disease duration, but greater disease severity with higher total Unified Parkinson's disease rating scale scores (Z = -2.218, p = 0.027) and lower Montreal Cognitive Assessment scores (Z = -3.350, p < 0.001). Regional center participants had lower incomes (Pearson's chi = 21.3, p < 0.001), higher costs to attend visits (Pearson's chi = 16.1, p = 0.003), and lived in more socioeconomically disadvantaged neighborhoods (Z = -3.120, p = 0.002). Prior research participation was lower in the regional center group (Pearson's chi = 4.5, p = 0.034) but both groups indicated interest in future research participation.

Conclusions

Regional center research visits in PwPD in medically underserved areas are feasible and could help improve access to care and research participation in these traditionally underrepresented populations.

Economic Burden of Parkinson's Disease: A Multinational, Real-World, Cost-of-Illness Study

BACKGROUND

Parkinson's disease is now one of the fastest-growing neurodegenerative disorders in the developed world, with an increasing prevalence and associated socioeconomic costs. Progression of the disease leads to a gradual deterioration in patients' quality of life, despite optimal treatment, and both medical and societal needs increase, often with the assistance of paid and/or unpaid caregivers.

OBJECTIVE

We aimed to quantify the incremental economic burden of Parkinson's disease by disease severity in a real-world setting across differing geographic regions.

METHODS

Demographics, clinical characteristics, health status, patient quality of life, caregiver burden, and healthcare resource utilization data were drawn from the Adelphi Parkinson's Disease Specific Program™, conducted in the USA, five European countries, and Japan.

RESULTS

A total of 563 neurologists provided data for 5299 individuals with Parkinson's disease; 61% were male, with a mean age of 64 years. Approximately 15% of individuals were deemed to have advanced disease, with significantly more comorbidities, and a poorer quality of life, than those with non-advanced disease. Overall, the mean annual healthcare resource utilization increased significantly with advancing disease, and resulted in a three-fold difference in the USA and Europe. The main drivers behind the high economic burden included hospitalizations, prescription medications, and indirect costs.

CONCLUSIONS

People with Parkinson's disease, and their caregivers, incur a higher economic burden as their disease progresses. Future interventions that can control symptoms or slow disease progression could reduce the burden on people with Parkinson's disease and their caregivers, whilst also substantially impacting societal costs.

Update: Descriptive epidemiology of Parkinson disease

We review the descriptive epidemiology of Parkinson disease (PD). PD is a prevalent neurologic disorder in high Socio-Demographic Index (SDI) nations with rising prevalence in low and middle SDI nations. PD became a prevalent disorder in high SDI nations during the 20th century. Population growth, population aging, and increased disease duration are major drivers of rising PD prevalence. Exposure to industrial toxicants may also be a contributor to rising PD prevalence. PD is an age-related disorder with incidence likely peaking in the 8th decade of life and prevalence in the 9th decade of life. PD is notable for significant sex difference in PD risk with greater risk in men. There may be ancestral differences in PD prevalence and risk. PD is associated with moderately increased mortality though this may be underestimated. Despite significant research, there is considerable uncertainty about basic features of PD epidemiology.

Experiences of People Living with Parkinson's Disease in Care Homes: A Qualitative Systematic Review

BACKGROUND

Incidence of disability secondary to Parkinson's disease is increasing faster globally than any other neurological condition. The diverse appearance of symptomatology associated with Parkinson's, and the degenerative nature and subsequent functional decline, often increase dependence on caregivers for assistance with daily living, most commonly within a care home setting. Yet, primary literature and evidence synthesis surrounding these unique and complex care needs, challenges and the lived experiences of this population living in long-term nursing or residential facilities remains sparce. The aim of this review is to synthesize qualitative literature about the lived experience of people with Parkinson's disease living in care home settings.

METHODS

A systematic search of the literature was conducted in October 2023 across six different databases (CINAHL, Medline, EMBASE, PsycINFO, Scopus and Cochrane Library). The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) was used to guide this review.

RESULTS

Five articles met the inclusion criteria. Four themes were identified following evidence synthesis: (1) Unique pharmacological challenges. (2) Transitioning and adapting to care home life and routines. (3) Dignified care within care homes. (4) Multidisciplinary care vacuum in care homes.

CONCLUSION

This review revealed the significant and unique challenges for people with Parkinson's disease when transitioning into care homes. These are exacerbated by wider social care challenges such as staffing levels, skill mixes and attitudes as well as a lack of disease-specific knowledge surrounding symptomatology and pharmacology. The lack of multi-disciplinary working and risk-adverse practice inhibited person-centred care and autonomy and reduced the quality of life of people living with Parkinson's disease in care homes. Recommendations for practice highlight training gaps, the need for consistent and improved interdisciplinary working and better person-centred assessment and care delivery.

A Randomized Phase 3 Study Comparing P2B001 to its Components (Low-Dose Extended-Release Rasagiline and Pramipexole) and to Optimized Doses of Marketed Extended-Release Pramipexole in Early Parkinson's Disease

BACKGROUND

There remains uncertainty as to the optimal way to initiate therapy for Parkinson's disease (PD) to maximize benefit and minimize adversity.

OBJECTIVES

The objective was to determine if P2B001 (a fixed, low-dose, extended-release [ER] combination of pramipexole 0.6 mg and rasagiline 0.75 mg) is superior to each of its components and compare its safety and efficacy to optimized treatment with marketed doses of pramipexole-ER.

METHODS

This was a 12-week, double-blind study (NCT03329508). Total of 544 untreated patients with PD were randomized (2:2:2:1) to treatment with P2B001, its individual components (pramipexole-ER 0.6 mg or rasagiline-ER 0.75 mg), or commercial doses of pramipexole-ER titrated to optimal dose (1.5-4.5 mg). The primary endpoint was change from baseline to week 12 in Unified Parkinson's Disease Rating Scale (UPDRS) parts II and III. The key secondary endpoint was the change from baseline in the Epworth Sleepiness Scale (ESS) for P2B001 versus the titrated dose of pramipexole-ER.

RESULTS

P2B001 provided superior efficacy compared to each of its components; mean (95% CI) treatment differences in UPDRS II + III scores were -2.66 (95% CI, -4.33 to -1.00) versus pramipexole-ER 0.6 mg (P = 0.0018) and - 3.30 (95% CI, -4.96 to -1.63) versus rasagiline-ER 0.75 mg (P < 0.0001). P2B001 had comparable efficacy with the titrated dose of pramipexole-ER (mean, 3.2 mg), but significantly less worsening in daytime-sleepiness (ESS treatment difference: -2.66 [95% CI, -3.50 to -1.81]; P < 0.0001). P2B001 was well-tolerated with fewer sleep-related and dopaminergic adverse events than titrated doses of pramipexole-ER including somnolence, orthostatic hypotension, and neuropsychiatric side effects.

CONCLUSIONS

P2B001 had superior efficacy to its individual components and was comparable with commercially used doses of pramipexole-ER with less worsening of sleepiness and fewer dopaminergic adverse events. These findings support considering once-daily P2B001 as initial therapy for patients with early PD. © 2023 International Parkinson and Movement Disorder Society.

Risk of Parkinson's disease-related death in cancer survivors: A population-based study in Japan

BACKGROUND

The risk of Parkinson's disease (PD)-related death in patients with cancer largely unexplored.

METHODS

We analyzed data from the Neoplasms ANd other causes of DEath (NANDE) study, which investigates the causes of death in patients with cancer in Japan. Standardized mortality ratios (SMRs) were calculated to compare the risk of PD-related deaths in patients with cancer to that of the general population. Poisson regression models were employed to estimate the relative risk of PD-related death in the subgroups.

RESULTS

The cohort included 548,485 patients with cancer, yielding 2,047,398 person-years at risk from 1995 to 2013. During the study period, 242,250 patients died and 145 deaths were attributable to PD. The SMR for PD-related death was 2.34 (95% confidence interval [CI]: 1.99-2.75). Patients who were diagnosed with cancer before 70 years of age had a high SMR (>5) for PD-related deaths. The SMR of patients with mouth-to-stomach cancers (lip, oral cavity, pharynx, esophagus, and stomach cancers) was 3.72 (95% CI: 2.84-4.86), while that of those with other cancers was 1.93 (95% CI: 1.57-2.37). The multivariate Poisson regression model revealed that patients with mouth-to-stomach cancers were more likely to die of PD than those without (relative risk 2.07, 95 % CI; 1.46-2.93).

CONCLUSIONS

Patients with cancer are at a high risk of PD-related death; particularly, mouth-to-stomach cancers and potentially obstructing medication for PD are attributable to a high mortality risk. Careful management, including adequate PD treatment, would benefit cancer survivors with PD and reduce the risk of PD-related death.

Quantitative DigitoGraphy: a Comprehensive Real-Time Remote Monitoring System for Parkinson's Disease

People with Parkinson's disease (PWP) face critical challenges, including lack of access to neurological care, inadequate measurement and communication of motor symptoms, and suboptimal medication management and compliance. We have developed QDG-Care: a comprehensive connected care platform for Parkinson's disease (PD) that delivers validated, quantitative metrics of all motor signs in PD in real time, monitors the effects of adjusting therapy and medication adherence and is accessible in the electronic health record. In this article, we describe the design and engineering of all components of QDG-Care, including the development and utility of the QDG Mobility and Tremor Severity Scores. We present the preliminary results and insights from the first at-home trial using QDG-Care. QDG technology has enormous potential to improve access to, equity of, and quality of care for PWP, and improve compliance with complex time-critical medication regimens. It will enable rapid "Go-NoGo" decisions for new therapeutics by providing high-resolution data that require fewer participants at lower cost and allow more diverse recruitment.

Gender gap in deep brain stimulation for Parkinson's disease: preliminary results of a retrospective study

Subthalamic nucleus deep brain stimulation (STN-DBS) is an effective treatment of PD for both women and men. However, discussions have been reported about the impact of STN-DBS surgery in PD. The aim of our study is to identify differences between men and women in terms of pre- and post-DBS symptoms and try to explain the possible causes. In the current study, we evaluated the gender impact on STN-DBS in PD at the Department of Neurosurgery of University of Naples "Federico II" from 2013 to 2021. Motor and non-motor symptoms were evaluated. To compare the data before and after surgery and between the genders, Wilcoxon-Mann-Whitney tests were performed. A total of 43 patients with PD were included; of them, 17 (39%) were female. Baseline evaluation revealed no gender differences in the age of onset (p = 0.87). Not significant differences were noted in the Unified Parkinson's Disease Rating Scale (UPDRS) pre-surgery score, but if we consider UPDRS subscores of motor examination, significant clinical improvement was reported in both male and female in terms of UPDRS pre- and post-surgery (p < 0.001). STN-DBS is a highly effective treatment for motor and non-motor symptoms of PD for both women and men but our study hints towards gender-specific outcomes in motor domains. Improving our knowledge in this field can allow us to implement strategies to identify new directions in the development of an adequate treatment of PD in terms of surgical intervention and in consideration of the gender.

Levodopa use in Australia: an analysis of Pharmaceutical Benefits Scheme 10% data

Background

Levodopa remains the mainstay of treatment of Parkinson's disease, however, over time motor fluctuations and levodopa-induced dyskinesia develop, requiring add-on therapies to control emerging symptoms. To date, however, there is no clear consensus in Australia, or elsewhere, at which dose of levodopa that add-on therapies should be considered.

Objectives

The purpose of this study was to examine the treatment patterns of patients with Parkinson's disease in Australia, with particular focus on levodopa doses at the time of first add-on.

Methods

This was a retrospective, observational, non-interventional study of patients with Parkinson's disease within the Australian Department of Human Services Pharmaceutical Benefits Scheme (PBS) 10% sample. Data on all reimbursed prescriptions (both general and concession), prescriber type and item code were extracted for patients who were dispensed at least three PBS reimbursed prescriptions for levodopa in the previous 12 months prescription from 1 January 2007 to 31 December 2021.

Results

154 850 unique patients were included, of whom 42 330 (27%) commenced add-on therapy during the period. In the 12 months prior to add-on therapy, levodopa doses ranged from 100 mg/day to 1000 mg/day. The majority of patients were prescribed add-on therapy by a neurologist and approximately 40% of patients were prescribed levodopa doses of 600 mg/day or more prior to the first add-on therapy being initiated.

Conclusions

A large proportion of patients in Australia are managed with levodopa monotherapy doses that are considered high and many of these patients may benefit from the addition of add-on therapy to their regimen.

Standardizing default electronic health record tools to improve safety for hospitalized patients with Parkinson's disease

Electronic Health Record (EHR) systems are often configured to address challenges and improve patient safety for persons with Parkinson's disease (PWP). For example, EHR systems can help identify Parkinson's disease (PD) patients across the hospital by flagging a patient's diagnosis in their chart, preventing errors in medication and dosing through the use of clinical decision support, and supplementing staff education through care plans that provide step-by-step road maps for disease-based care of a specific patient population. However, most EHR-based solutions are locally developed and, thus, difficult to scale widely or apply uniformly across hospital systems. In 2020, the Parkinson's Foundation, a national and international leader in PD research, education, and advocacy, and Epic, a leading EHR vendor with more than 35% market share in the United States, launched a partnership to reduce risks to hospitalized PWP using standardized EHR-based solutions. This article discusses that project which included leadership from physician informaticists, movement disorders specialists, hospital quality officers, the Parkinson's Foundation and members of the Parkinson's community. We describe the best practice solutions developed through this project. We highlight those that are currently available as standard defaults or options within the Epic EHR, discuss the successes and limitations of these solutions, and consider opportunities for scalability in environments beyond a single EHR vendor. The Parkinson's Foundation and Epic launched a partnership to develop best practice solutions in the Epic EHR system to improve safety for PWP in the hospital. The goal of the partnership was to create the EHR tools that will have the greatest impact on outcomes for hospitalized PWP.

Home-based monitoring of persons with advanced Parkinson's disease using smartwatch-smartphone technology

Movement deterioration is the hallmark of Parkinson's disease (PD), characterized by levodopa-induced motor-fluctuations (i.e., symptoms' variability related to the medication cycle) in advanced stages. However, motor symptoms are typically too sporadically and/or subjectively assessed, ultimately preventing the effective monitoring of their progression, and thus leading to suboptimal treatment/therapeutic choices. Smartwatches (SW) enable a quantitative-oriented approach to motor-symptoms evaluation, namely home-based monitoring (HBM) using an embedded inertial measurement unit. Studies validated such approach against in-clinic evaluations. In this work, we aimed at delineating personalized motor-fluctuations' profiles, thus capturing individual differences. 21 advanced PD patients with motor fluctuations were monitored for 2 weeks using a SW and a smartphone-dedicated app (Intel Pharma Analytics Platform). The SW continuously collected passive data (tremor, dyskinesia, level of activity using dedicated algorithms) and active data, i.e., time-up-and-go, finger tapping, hand tremor and hand rotation carried out daily, once in OFF and once in ON levodopa periods. We observed overall high compliance with the protocol. Furthermore, we observed striking differences among the individual patterns of symptoms' levodopa-related variations across the HBM, allowing to divide our participants among four data-driven, motor-fluctuations' profiles. This highlights the potential of HBM using SW technology for revolutionizing clinical practices.

Parkinson's disease patients' perspective on telephone visits during the COVID-19 pandemic

Telemedicine is a promising modality to provide specialized care in periods when attendance is challenged, as recently observed during the Coronavirus disease 2019 (COVID-19) pandemic. We aimed to evaluate the satisfaction with telemedicine visits in a group of Parkinson´s disease (PD) patients during the COVID-19 pandemic, as well as to identify demographic or clinical factors associated with higher telemedicine satisfaction. Retrospective cohort study of PD patients who attended telemedicine visits at Centro Hospitalar de Lisboa Ocidental, from March 1, 2020 until March 31, 2021. An eleven-question telephone survey was used to assess satisfaction with telemedicine visits. Patients' answers were dichotomized into "satisfied" or "not satisfied" to study the factors associated with satisfaction with telemedicine. Mann-Whitney U for continuous variables and chi-square tests for categorical variables were performed to compare data between the two groups. Linear regression was used to study the factors associated with being satisfied with telemedicine. A total of 111 patients (87%) accepted to participate in this survey. The majority (n = 74.67%) reported being satisfied with telemedicine visits. Patients preferred a combination of in-person and telemedicine visits (n = 43.39%). Male gender (p < 0.001) and employed patients (p < 0.001) were associated with higher satisfaction. In the linear regression, therapeutic changes deemed clear (p < 0.014) and considering the absence of neurological examination non-detrimental (p < 0.001) were associated with a higher degree of satisfaction with telemedicine. Most patients are satisfied with telemedicine visits, even in urgent implementation due to the COVID-19 pandemic. Moreover, telemedicine does not pose a hurdle to a paradigm shift away from conventional in-person appointments.

Fine Particulate Matter and Parkinson Disease Risk Among Medicare Beneficiaries

BACKGROUND AND OBJECTIVES

Numerous studies suggest that environmental exposures play a critical role in Parkinson disease (PD) pathogenesis, and large, population-based studies have the potential to advance substantially the identification of novel PD risk factors. We sought to study the nationwide geographic relationship between PD and air pollution, specifically PM2.5 (particulate matter with a diameter <2.5 micrometers), using population-based US Medicare data.

METHODS

We conducted a population-based geographic study of Medicare beneficiaries aged 66-90 years geocoded to US counties and zip+4. We used integrated nested Laplace approximation to create age, sex, race, smoking, and health care utilization-adjusted relative risk (RR) at the county level for geographic analyses with PM2.5 as the primary exposure of interest. We also performed an individual-level analysis using logistic regression with cases and controls with zip+4 centroid PM2.5. We adjusted a priori for the same covariates and verified no confounding by indicators of socioeconomic status or neurologist density.

RESULTS

Among 21,639,190 Medicare beneficiaries, 89,390 had incident PD in 2009. There was a nationwide association between average annual PM2.5 and PD risk whereby the RR of PD was 56% (95% CI 47%-66%) greater for those exposed to the median level of PM2.5 compared with those with the lowest level of PM2.5. This association was linear up to 13 μg/m3 corresponding to a 4.2% (95% CI 3.7%-4.8%) greater risk of PD for each additional μg/m3 of PM2.5 (p trend < 0.0001). We identified a region with high PD risk in the Mississippi-Ohio River Valley, where the risk of PD was 19% greater compared with the rest of the nation. The strongest association between PM2.5 and PD was found in a region with low PD risk in the Rocky Mountains. PM2.5 was also associated with PD in the Mississippi-Ohio River Valley where the association was relatively weaker, due to a possible ceiling effect at average annual PM2.5 levels of ∼13 μg/m3.

DISCUSSION

State-of-the-art geographic analytic techniques revealed an association between PM2.5 and PD that varied in strength by region. A deeper investigation into the specific subfractions of PM2.5 may provide additional insight into regional variability in the PM2.5-PD association.

Tools and criteria to select patients with advanced Parkinson's disease for device-aided therapies: a narrative review

This article provides an overview of the various screening and selection tools which have been developed over the past 25 years to identify patients with Parkinson's disease (PD) possibly eligible for device-aided therapies (DATs). For the available screening tools, we describe the target therapies (subtypes of DAT), development methods, validation data, and their use in clinical practice. In addition, the historical background and potential utility of these screening tools are discussed. The challenges in developing and validating these tools are also addressed, taking into account the differences in population, the local health care organization, and resource availability.

Association of Postoperative Delirium and Parkinson Disease After Common United States Surgical Procedures

INTRODUCTION

To determine the association of Parkinson disease (PD) and postoperative delirium following common surgical procedures.

METHODS

We performed a retrospective database analysis of the National Inpatient Sample. We used a matched sample of patients with and without PD who underwent any of ten common surgical procedures in the US, 2005-2014. Primary outcome measure was postoperative delirium for patients with and without PD. Secondary measures included disposition, length of stay, and hospital costs.

RESULTS

There were 3,235,866 patients receiving any of the ten most common operative procedures, 2005-2014. There were 35,743 patients with and without PD matched based on age, sex, elective admission status, Charlson Comorbidity index, and presence of dementia. Median age was 77 y (interquartile range 72-82), median Charlson Comorbidity index was 1 (standard deviation 0-2), 46.6% were female, and 46.8% were admitted electively. The three most common operative procedures were hip arthroplasty (28.5%), knee arthroplasty (16.1%), and percutaneous coronary angioplasty (14.9%). Postoperative delirium was present in 1519 patients with PD compared to 828 matched patients without PD (4.2% versus 2.3%; P < 0.001). The adjusted odds ratio of postoperative delirium for PD compared to the matched cohort without PD was 1.88 (95% confidence interval 1.73-2.05). Those undergoing spinal fusion (adjusted odds ratio 2.99, 95% confidence interval 2.06-4.38) had the greatest odds of delirium. For patients with PD, adjusted length of stay, adjusted hospital costs, and adjusted odds of postacute care facility discharge were greater compared to the matched cohort without PD.

CONCLUSIONS

Patients with PD are more likely to develop postoperative delirium and have a more complicated postoperative course with longer length of stay and greater hospitalization costs.

Access to device-aided therapies in advanced Parkinson's disease: navigating clinician biases, patient preference, and prognostic uncertainty

Device-aided therapies (DAT), which include deep brain stimulation and pump-based continuous dopaminergic stimulation with either levodopa or apomorphine, are among the major advances in the clinical management of Parkinson's disease (PD). Although DAT are being increasingly offered earlier in the disease course, their classical indication remains advanced PD. Theoretically, every patient should be offered transition to DAT when faced with refractory motor and nonmotor fluctuations and functional decline. Worldwide clinical reality is far from these ideal, and, therefore, question the "real-world" equal opportunity of access to DAT for PD patients with advanced PD-even within a single health care system. Differences in access to care, referral pattern (timing and frequency), as well as physician biases (unconscious/implicit or conscious/explicit bias), and patients' preferences or health-seeking behaviour are to be considered. Compared to DBS, little information is available concerning infusion therapies, as well as neurologists' and patients' attitudes towards them. This viewpoint aims to be thought-provoking and to assist clinicians in moving through the process of DAT selection, by including in their decision algorithm their own biases, patient perspective, ethical concerns as well as the current unknowns surrounding PD prognosis and DAT-related long-term side effects for a given patient.

Design of the STEPS trial: a phase II randomized controlled trial evaluating eHealth-supported motor-cognitive home training for Parkinson's disease

BACKGROUND

Electronic health (eHealth) technology offers the potential to support and motivate physical activity for symptom management in Parkinson's disease (PD). It is also recommended that motor exercise in PD be complemented with cognitive training aimed at attentional or executive functions. This paper describes the protocol for a double-blind randomized controlled trial to evaluate the effects of motor-cognitive training in the home environment, supported by eHealth.

METHODS/DESIGN

The Support for home Training using Ehealth in Parkinsons diseaSe (STEPS) is a double-blind single center randomized controlled trial. Two parallel groups will include in total 120 participants with mild to moderate PD who will receive either (i) the intervention (a progressive 10-week individualized motor-cognitive eHealth training with cognitive behavioral elements to increase physical activity levels) or (ii) an active control group (an individualized 10-week paper-based home exercise program). The active control group will not receive motor-cognitive exercises or cognitive behavioral approaches to increase physical activity level. The primary outcome is walking capacity assessed by the six-minute walk test (6MWT). Secondary outcomes will include gait performance during single and dual task conditions, gait speed, functional mobility and lower limb strength, balance, physical activity behavior and a range of patient reported outcome measures relevant in PD.

DISCUSSION

The STEPS trial will answer the question whether 10 weeks of eHealth supported motor-cognitive exercise in the home environment can improve walking capacity in PD when compared to a standard paper exercise program. Findings from this study will also strengthen the evidence concerning the efficacy of PD-specific eHealth interventions with a view meeting future health care demands by addressing issues of inaccessibility to specialized neurological rehabilitation in PD.

TRIAL REGISTRATION

ClinicalTrials.gov August 2022, NCT05510739.

Association of Parkinson's disease status with accelerometer-derived physical activity and sedentary behavior in older women: The Women's Health Study (WHS)

Evidence suggests that individuals diagnosed with Parkinson's Disease (PD) spend less time in moderate-to-vigorous intensity physical activity (MVPA) compared to those without PD. However, prior studies primarily included men and did not consider movement across the entire intensity spectrum. To address these gaps, the association of PD status with total volume physical activity and time spent in sedentary, low light-intensity physical activity (LLPA), high light-intensity physical activity (HLPA), and MVPA among older women was examined. This is a cross-sectional analysis of 17,466 ambulatory women enrolled in the Women's Health Study (WHS) with a median (IQR) age of 70 (67-75) years who were asked to wear an accelerometer for 7 days from 2011 to 2015 for the ancillary study. Reported PD status was assessed via annual mail-in questionnaires prior to device wear. Compared to those without PD (n = 16,661), PD (n = 80) was associated with 98,400 fewer vector magnitude (VM) counts per day and with spending an average of 23.2 more minutes per day sedentary and 10.5 more minutes per day in LLPA. Further, PD was associated with spending 6.4 and 27.3 fewer minutes per day in HLPA and MVPA, respectively, compared to women without PD. PD in women is associated with more daily sedentary time and less time spent in health-enhancing physical activity. Prevention strategies to promote physical activity should be emphasized to enhance health and limit progression of disability in women living with PD.

Levodopa Prescription Patterns in Patients with Advanced Parkinson's Disease: A Japanese Database Analysis

Prescription doses of levodopa in patients with advanced Parkinson's disease (PD) are generally lower in Japan than in the United States or Europe, although Japanese guidelines for the management of PD recommend increasing the dosage as the disease progresses. However, data regarding levodopa prescription practices in patients with advanced PD in the clinical setting are limited. This retrospective observational study analyzed patterns of drug use for patients with advanced PD in Japan using claims data from hospitalized patients in the Medical Data Vision Co. database. Eligible patients had at least two PD-associated claims in two different quarters between April 1, 2008, and November 30, 2018, and a 10-item activities of daily living score <60 upon hospital discharge (as a proxy for advanced PD). The primary endpoint was the prescribed dosage of levodopa at the index hospitalization. Dosages of other PD drugs (medications with an on-label indication for PD) and non-PD drugs were also assessed. Overall, 4029 patients met the inclusion criteria (mean age, 76.9 years; 83.3% aged ≥70 years). At the index date, 74.0% were receiving levodopa. Patients received a median of one PD drug in addition to levodopa, and 27.4% and 20.2% received one or two concomitant PD drugs, respectively. Patients received a median of two non-PD drugs. The median levodopa dosage and total levodopa equivalent dosage (LED) at the index hospitalization were 418.2 and 634.8 mg/day (adjusted for body weight, 9.0 and 13.7 mg/kg/day), respectively. The median levodopa and total LED dosage in each 6-month increment during the 5 years before and after the index date ranged between 263.9 and 330.2 mg/day (5.0 and 6.5 mg/kg/day) and 402.0 and 504.9 mg/day (8.3 and 10.1 mg/kg/day), respectively. This study suggests that many Japanese patients with advanced PD could receive more intensive treatment with higher doses of levodopa.

Using AI to measure Parkinson's disease severity at home

We present an artificial intelligence (AI) system to remotely assess the motor performance of individuals with Parkinson's disease (PD). In our study, 250 global participants performed a standardized motor task involving finger-tapping in front of a webcam. To establish the severity of Parkinsonian symptoms based on the finger-tapping task, three expert neurologists independently rated the recorded videos on a scale of 0-4, following the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS). The inter-rater reliability was excellent, with an intra-class correlation coefficient (ICC) of 0.88. We developed computer algorithms to obtain objective measurements that align with the MDS-UPDRS guideline and are strongly correlated with the neurologists' ratings. Our machine learning model trained on these measures outperformed two MDS-UPDRS certified raters, with a mean absolute error (MAE) of 0.58 points compared to the raters' average MAE of 0.83 points. However, the model performed slightly worse than the expert neurologists (0.53 MAE). The methodology can be replicated for similar motor tasks, providing the possibility of evaluating individuals with PD and other movement disorders remotely, objectively, and in areas with limited access to neurological care.

Sociodemographic and Geographic Disparities in End-of-Life Health Care Intensity Among Medicare Beneficiaries With Parkinson Disease

Background and Objective

Current studies of end-of-life care in Parkinson disease (PD) do not focus on diverse patient samples or provide national views of end-of-life resource utilization. We determined sociodemographic and geographic differences in end-of-life inpatient care intensity among persons with PD in the United States (US).

Methods

This retrospective cohort study included Medicare Part A and Part B beneficiaries 65 years and older with a qualifying PD diagnosis who died between January 1, 2017, and December 31, 2017. Medicare Advantage beneficiaries and those with atypical or secondary parkinsonism were excluded. Primary outcomes included rates of hospitalization, intensive care unit (ICU) admission, in-hospital death, and hospice discharge in the last 6 months of life. Descriptive analyses and multivariable logistic regression models compared differences in end-of-life resource utilization and treatment intensity. Adjusted models included demographic and geographic variables, Charlson Comorbidity Index score, and Social Deprivation Index score. The national distribution of primary outcomes was mapped and compared by hospital referral region using Moran I.

Results

Of 400,791 Medicare beneficiaries with PD in 2017, 53,279 (13.3%) died. Of decedents, 33,107 (62.1%) were hospitalized in the last 6 months of life. In covariate-adjusted regression models using White male decedents as the reference category, odds of hospitalization was greater for Asian (AOR 1.38; CI 1.11-1.71) and Black (AOR 1.23; CI 1.08-1.39) male decedents and lower for White female decedents (AOR 0.80; CI 0.76-0.83). ICU admissions were less likely in female decedents and more likely in Asian, Black, and Hispanic decedents. Odds of in-hospital death was greater among Asian (AOR 2.49, CI 2.10-2.96), Black (AOR 1.11, CI 1.00-1.24), Hispanic (AOR 1.59; CI 1.33-1.91), and Native American (AOR 1.49; CI 1.05-2.10) decedents. Asian and Hispanic male decedents were less likely to be discharged to hospice. In geographical analyses, rural-dwelling decedents had lower odds of ICU admission (AOR 0.77; CI 0.73-0.81) and hospice discharge (AOR 0.69; CI 0.65-0.73) than urban-dwelling decedents. Nonrandom clusters of primary outcomes were observed across the US, with highest rates of hospitalization in the South and Midwest (Moran I = 0.134; p < 0.001).

Discussion

Most persons with PD in the US are hospitalized in the last 6 months of life, and treatment intensity varies by sex, race, ethnicity, and geographic location. These group differences emphasize the importance of exploring end-of-life care preferences, service availability, and care quality among diverse populations with PD and may inform new approaches to advance care planning.

Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes

Digital technologies (e.g., mobile phones) can be used to obtain objective, frequent, and real-world digital phenotypes from individuals. However, modeling these data poses substantial challenges since observational data are subject to confounding and various sources of variabilities. For example, signals on patients' underlying health status and treatment effects are mixed with variation due to the living environment and measurement noises. The digital phenotype data thus shows extensive variabilities between- and within-patient as well as across different health domains (e.g., motor, cognitive, and speaking). Motivated by a mobile health study of Parkinson's disease (PD), we develop a mixed-response state-space (MRSS) model to jointly capture multi-dimensional, multi-modal digital phenotypes and their measurement processes by a finite number of latent state time series. These latent states reflect the dynamic health status and personalized time-varying treatment effects and can be used to adjust for informative measurements. For computation, we use the Kalman filter for Gaussian phenotypes and importance sampling with Laplace approximation for non-Gaussian phenotypes. We conduct comprehensive simulation studies and demonstrate the advantage of MRSS in modeling a mobile health study that remotely collects real-time digital phenotypes from PD patients.

Care access and utilization among medicare beneficiaries living with Parkinson's disease

An estimated 90% of people living with Parkinson's disease (PD) in the US are covered by Medicare health insurance. How these beneficiaries use and engage the health care system is important to understand in the face of a rapidly growing PD population. Here, we analyzed health care utilization patterns of those with a PD diagnosis enrolled in Medicare in 2019. By our estimates, PD beneficiaries number 685,116 or 1.2% of the total Medicare population. Compared to the overall Medicare population, 56.3% are male (vs 45.6%), 77.9% over age 70 (vs 57.1%), 14.7% people of color (vs 20.7%), and 16.0% are rural residents (vs 17.5%). Our analysis identified significant disparities in care. Surprisingly, 40% of PD beneficiaries (n = 274,046) did not see a neurologist at all during the calendar year and only 9.1% visited a movement disorder specialist (MDS). Few Medicare beneficiaries diagnosed with PD use recommended services such as physical, occupational, or speech therapy. People of color and rural residents were least likely to access a neurologist or therapy services. Despite 52.9% of beneficiaries being diagnosed with depression, only 1.8% had a clinical psychology visit. Our findings emphasize the need for further research on population-specific barriers to accessing PD-related health care.

Objective measurement versus clinician-based assessment for Parkinson's disease

INTRODUCTION

Although clinician-based assessment through standardized clinical rating scales is currently the gold standard for quantifying motor impairment in Parkinson's disease (PD), it is not without limitations, including intra- and inter-rater variability and a degree of approximation. There is increasing evidence supporting the use of objective motion analyses to complement clinician-based assessment. Objective measurement tools hold significant potential for improving the accuracy of clinical and research-based evaluations of patients.

AREAS COVERED

The authors provide several examples from the literature demonstrating how different motion measurement tools, including optoelectronics, contactless and wearable systems allow for both the objective quantification and monitoring of key motor symptoms (such as bradykinesia, rigidity, tremor, and gait disturbances), and the identification of motor fluctuations in PD patients. Furthermore, they discuss how, from a clinician's perspective, objective measurements can help in various stages of PD management.

EXPERT OPINION

In our opinion, sufficient evidence supports the assertion that objective monitoring systems enable accurate evaluation of motor symptoms and complications in PD. A range of devices can be utilized not only to support diagnosis but also to monitor motor symptom during the disease progression and can become relevant in the therapeutic decision-making process.

The VA National Teleneurology Program (NTNP): Implementing Teleneurology to Improve Equitable Access to Outpatient Neurology Care

BACKGROUND

Telehealth is increasingly utilized in many healthcare systems to improve access to specialty care and better allocate limited resources, especially for rurally residing persons who face unique barriers to care.

OBJECTIVES

The VHA sought to address critical gaps in access to neurology care by developing and implementing the first outpatient National Teleneurology Program (NTNP).

DESIGN

Pre-post evaluation of intervention and control sites.

PARTICIPANTS

NTNP sites and VA control sites; Veterans completing an NTNP consult and their referring providers.

INTERVENTION

Implementation of the NTNP at participating sites.

MAIN MEASURES

NTNP and community care neurology (CCN) volume of consults before and after implementation; time to schedule and complete consults; Veteran satisfaction.

KEY RESULTS

In FY2021, the NTNP was implemented at 12 VA sites; 1521 consults were placed and 1084 (71.3%) were completed. NTNP consults were scheduled (10.1 vs 29.0 days, p < 0.001) and completed (44.0 vs 96.9 days, p < 0.001) significantly faster than CCN consults. Post-implementation, monthly CCN consult volume was unchanged at NTNP sites compared to pre-implementation (mean change of 4.6 consults per month, [95% CI - 4.3, 13.6]), but control sites had a significant increase (mean change of 24.4 [5.2, 43.7]). The estimated difference in mean change in CCN consults between NTNP and control sites persisted after adjusting for local neurology availability (p < 0.001). Veterans (N = 259) were highly satisfied with NTNP care (mean (SD) overall satisfaction score 6.3 (1.2) on a 7-point Likert scale).

CONCLUSIONS

Implementation of NTNP resulted in more timely neurologic care than care in the community. The observed significant increase in monthly CCN consults at non-participating sites during the post-implementation period was not seen at NTNP sites. Veterans were highly satisfied with Teleneurology care.

Racial and Ethnic Differences in Health-Related Quality of Life for Individuals With Parkinson Disease Across Centers of Excellence

BACKGROUND AND OBJECTIVES

Racial and ethnic minorities have been underrepresented in Parkinson disease (PD) research, limiting our understanding of treatments and outcomes across all non-White groups. The goal of this research is to investigate variability in health-related quality of life (HRQoL) and other outcomes in patients with PD across different races and ethnicities.

METHODS

This was a retrospective, cross-sectional and longitudinal, cohort study of individuals evaluated at PD Centers of Excellence. A multivariable regression analysis adjusted for sex, age, disease duration, Hoehn and Yahr (H&Y) stage, comorbidities, and cognitive score was used to investigate differences between racial and ethnic groups. A multivariable regression with skewed-t errors was performed to assess the individual contribution of each variable to the association of 39-item PD Questionnaire (PDQ-39) with race and ethnicity.

RESULTS

A total of 8,514 participants had at least 1 recorded visit. Most of them (90.2%) self-identified as White (n = 7,687), followed by 5.81% Hispanic (n = 495), 2% Asians (n = 170), and 1.9% African American (n = 162). After adjustment, total PDQ-39 scores were significantly higher (worse) in African Americans (28.56), Hispanics (26.62), and Asians (25.43) when compared with those in White patients (22.73, p < 0.001). This difference was also significant in most PDQ-39 subscales. In the longitudinal analysis, the inclusion of cognitive scores significantly decreased the strength of association of the PDQ-39 and race/ethnicity for minority groups. A mediation analysis demonstrated that cognition partially mediated the association between race/ethnicity and PDQ-39 scores (proportion mediated 0.251, p < 0.001).

DISCUSSION

There were differences in PD outcomes across racial and ethnic groups, even after adjustment for sex, disease duration, HY stage, age, and some comorbid conditions. Most notably, there was worse HRQoL among non-White patients when compared with White patients, which was partially explained by cognitive scores. The underlying reason for these differences needs to be a focus of future research.

Racial and Ethnic Disparities in Parkinson Disease: A Call to Action

Health disparities are pervasive in the United States. In the field of Parkinson disease (PD), profound racial and ethnic disparities exist in diagnosis, treatment, and research participation, leading to differential health outcomes and lack of generalizable research data. Racial and ethnic disparities not only limit our understanding of this complex heterogeneous disorder but also hamper our ability to provide new evidence-based care for America's most vulnerable populations. In this report, we summarize findings from our comprehensive white paper for the Michael J. Fox Foundation that reviews the current state of knowledge on racial and ethnic disparities in PD care in the following areas: epidemiology, etiology, phenotype and diagnosis, treatment, and research. We also identify knowledge gaps and necessary policy changes to ensure equitable, high-value care for all persons with PD. These strategies are designed to help identify and reduce health disparities among persons with PD and may serve as a model for other neurologic diseases.

Trends in health service use among persons with Parkinson's disease by rurality: A population-based repeated cross-sectional study

BACKGROUND

The global burden of Parkinson's disease (PD) has more than doubled over the past three decades, and this trend is expected to continue. Despite generally poorer access to health care services in rural areas, little previous work has examined health system use in persons with PD by rurality. We examined trends in the prevalence of PD and health service use among persons with PD by rurality in Ontario, Canada.

METHODS

We conducted a repeated, cross-sectional analysis of persons with prevalent PD aged 40+ years on April 1st of each year from 2000 to 2018 using health administrative databases and calculated the age-sex standardized prevalence of PD. Prevalence of PD was also stratified by rurality and sex. Negative binomial models were used to calculate rate ratios with 95% confidence intervals comparing rates of health service use in rural compared to urban residents in 2018.

RESULTS

The age-sex standardized prevalence of PD in Ontario increased by 0.34% per year (p<0.0001) and was 459 per 100,000 in 2018 (n = 33,479), with a lower prevalence in rural compared to urban residents (401 vs. 467 per 100,000). Rates of hospitalizations and family physician visits declined over time in both men and women with PD in rural and urban areas, while rates of emergency department, neurologist, and other specialist visits increased. Adjusted rates of hospitalizations were similar between rural and urban residents (RR = 1.04, 95% CI [0.96, 1.12]), while rates of emergency department visits were higher among rural residents (RR = 1.35, 95% CI [1.27, 1.42]). Rural residents had lower rates of family physician (adjusted RR = 0.82, (95% CI [0.79, 0.84]) and neurologist visits (RR = 0.74, 95% CI [0.72, 0.77]).

INTERPRETATION

Lower rates of outpatient health service use among persons residing in rural regions, contrasting with higher rates of emergency department visits suggest inequities in access. Efforts to improve access to primary and specialist care for persons with PD in rural regions are needed.

Characteristics of the Ontario Neurodegenerative Disease Research Initiative cohort

INTRODUCTION

Understanding synergies between neurodegenerative and cerebrovascular pathologies that modify dementia presentation represents an important knowledge gap.

METHODS

This multi-site, longitudinal, observational cohort study recruited participants across prevalent neurodegenerative diseases and cerebrovascular disease and assessed participants comprehensively across modalities. We describe univariate and multivariate baseline features of the cohort and summarize recruitment, data collection, and curation processes.

RESULTS

We enrolled 520 participants across five neurodegenerative and cerebrovascular diseases. Median age was 69 years, median Montreal Cognitive Assessment score was 25, median independence in activities of daily living was 100% for basic and 93% for instrumental activities. Spousal study partners predominated; participants were often male, White, and more educated. Milder disease stages predominated, yet cohorts reflect clinical presentation.

DISCUSSION

Data will be shared with the global scientific community. Within-disease and disease-agnostic approaches are expected to identify markers of severity, progression, and therapy targets. Sampling characteristics also provide guidance for future study design.

Extension of community healthcare outcomes in Parkinson disease (Parkinson ECHO): A feasibility study

Background

Parkinson's disease is the second most common neurodegenerative disorder and presents with a heterogeneous group of symptoms. Managing these symptoms requires coordinated care from a neurology specialist and a primary care provider. Access to neurology care is limited for those patients with Parkinson's disease who reside in rural areas given financial and mobility constraints along with the rarity of specialty providers.

Methods

To close this gap, we developed and implemented a telehealth-based Project ECHO® (Extension for Community Healthcare Outcomes) program, "Parkinson ECHO," to provide education and support for rural clinicians and allied health members. The sessions focused on a topic within Parkinson's disease diagnosis or management followed by case discussions. We assessed the feasibility of this tele-mentoring educational offering, the favorability of this approach, and the effect it had on clinician confidence in diagnosing and treating Parkinson's disease using Likert-based surveys.

Results

Thirty-three unique participants from 13 Oregon counties and one county in the state of Washington, of whom 70 % served rural and/or medically underserved communities, participated in Parkinson ECHO. There was a 52 % dropout rate based on survey response, though session attendance was higher. Participants were overall satisfied with the format and content of Parkinson ECHO. There were improvements in knowledge and confidence in diagnosing and treating Parkinson's disease which persisted 6 months following the conclusion of the program. Unexpectedly, two participants reported convening a multidisciplinary group to discuss improvements to PD care.

Conclusion

The COVID-19 pandemic was an unexpected obstacle, but the teleconference nature permitted us to complete the program to positive effect. We found Parkinson ECHO did significantly increase participant confidence levels in diagnosing and managing Parkinson's disease.

Artificial intelligence-enabled detection and assessment of Parkinson's disease using nocturnal breathing signals

There are currently no effective biomarkers for diagnosing Parkinson's disease (PD) or tracking its progression. Here, we developed an artificial intelligence (AI) model to detect PD and track its progression from nocturnal breathing signals. The model was evaluated on a large dataset comprising 7,671 individuals, using data from several hospitals in the United States, as well as multiple public datasets. The AI model can detect PD with an area-under-the-curve of 0.90 and 0.85 on held-out and external test sets, respectively. The AI model can also estimate PD severity and progression in accordance with the Movement Disorder Society Unified Parkinson's Disease Rating Scale (R = 0.94, P = 3.6 × 10-25). The AI model uses an attention layer that allows for interpreting its predictions with respect to sleep and electroencephalogram. Moreover, the model can assess PD in the home setting in a touchless manner, by extracting breathing from radio waves that bounce off a person's body during sleep. Our study demonstrates the feasibility of objective, noninvasive, at-home assessment of PD, and also provides initial evidence that this AI model may be useful for risk assessment before clinical diagnosis.

Monitoring gait at home with radio waves in Parkinson's disease: A marker of severity, progression, and medication response

Parkinson's disease (PD) is the fastest-growing neurological disease in the world. A key challenge in PD is tracking disease severity, progression, and medication response. Existing methods are semisubjective and require visiting the clinic. In this work, we demonstrate an effective approach for assessing PD severity, progression, and medication response at home, in an objective manner. We used a radio device located in the background of the home. The device detected and analyzed the radio waves that bounce off people's bodies and inferred their movements and gait speed. We continuously monitored 50 participants, with and without PD, in their homes for up to 1 year. We collected over 200,000 gait speed measurements. Cross-sectional analysis of the data shows that at-home gait speed strongly correlates with gold-standard PD assessments, as evaluated by the Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III subscore and total score. At-home gait speed also provides a more sensitive marker for tracking disease progression over time than the widely used MDS-UPDRS. Further, the monitored gait speed was able to capture symptom fluctuations in response to medications and their impact on patients' daily functioning. Our study shows the feasibility of continuous, objective, sensitive, and passive assessment of PD at home and hence has the potential of improving clinical care and drug clinical trials.

The long-term trend of Parkinson’s disease incidence and mortality in China and a Bayesian projection from 2020 to 2030

Background: Parkinson’s disease is a disabling degenerative disease of the central nervous system that occurs mainly in elderly people. The changes in the incidence and mortality of Parkinson’s disease at the national level in China over the past three decades have not been fully explored.

Methods: Research data were obtained from the Global Burden of Disease 2019 study. The trends of crude and age-standardized incidence and mortality rates by gender of Parkinson’s disease in China were analyzed with the age-period-cohort model and the Joinpoint regression analysis. The effects of age, time period, and birth cohort on the incidence and mortality of Parkinson’s disease were estimated. The gender- and age-specific incidence and mortality rates of Parkinson’s disease from 2020 to 2030 were projected using the Bayesian age-period-cohort model with integrated nested Laplace approximations.

Results: From 1990 to 2019, the annual percentage change of the age-standardized incidence rate was 0.8% (95% CI: 0.7%–0.8%) for males and 0.2% (95% CI, 0.2–0.2%) for females. And the age-standardized mortality rate for males was 2.9% (95% CI: 2.6%–3.2%) and 1.8% (95% CI: 1.5%–2.1%) for females. The results of the age-period-cohort analysis suggested that the risk and burden of Parkinson’s disease continued to increase for the last several decades. Projection analysis suggested that the overall Parkinson’s disease incidence will continue to increase for the next decades. It was projected that China would have 4.787 million Parkinson’s patients by the year 2030, however, the mortality of Parkinson’s disease for both genders in China may keep decreasing.

Conclusion: Though the mortality risk may decrease, Parkinson’s disease continues to become more common for both genders in China, especially in the senior-aged population. The burden associated with Parkinson’s disease would continue to grow. Urgent interventions should be implemented to reduce the burden of Parkinson’s disease in China.

Feasibility of telemedicine research visits in people with Parkinson's disease residing in medically underserved areas

Introduction

Gait, balance, and cognitive impairment make travel cumbersome for People with Parkinson's disease (PwPD). About 75% of PwPD cared for at the University of Arkansas for Medical Sciences' Movement Disorders Clinic reside in medically underserved areas (MUAs). Validated remote evaluations could help improve their access to care. Our goal was to explore the feasibility of telemedicine research visits for the evaluation of multi-modal function in PwPD in a rural state.

Methods

In-home telemedicine research visits were performed in PwPD. Motor and non-motor disease features were evaluated and quantified by trained personnel, digital survey instruments for self-assessments, digital voice recordings, and scanned and digitized Archimedes spiral drawings. Participant's MUA residence was determined after evaluations were completed.

Results

Twenty of the fifty PwPD enrolled resided in MUAs. The groups were well matched for disease duration, modified motor UPDRS, and Montreal Cognitive assessment scores but MUA participants were younger. Ninety-two percent were satisfied with their visit, and 61% were more likely to participate in future telemedicine research. MUA participants traveled longer distances, with higher travel costs, lower income, and education level. While 50% of MUA participants reported self-reliance for in-person visits, 85% reported self-reliance for the telemedicine visit. We rated audio-video quality highly in approximately 60% of visits in both groups. There was good correlation with prior in-person research assessments in a subset of participants.

Conclusions

In-home research visits for PwPD in MUAs are feasible and could help improve access to care and research participation in these traditionally underrepresented populations.

Hip Fracture Care in Parkinson Disease: A Retrospective Analysis of 1,239 Patients

Introduction

Compared to other patients, Parkinson disease (PD) patients may experience suboptimal outcomes after hip fracture. The purpose of this study was to describe and compare characteristics and outcomes of hip fracture patients with PD to those without PD.

Methods

This retrospective cohort study included all patients admitted for hip fracture within a large healthcare system between July 1, 2017 and June 30, 2019. Demographics, injury characteristics, Charlson Comorbidity Index (CCI), treatment characteristics, and outcomes including complications, readmissions, and mortality were extracted. Patients with PD were compared to those without PD. Chi-square tests, two-sample t-tests, and Fisher exact tests were conducted to identify group differences.

Results

A total of 1239 patients were included (4.0% PD and 96.0% non-PD). PD patients were mostly male (59.2%) compared to mostly female non-PD patients 69.4%, P < .001). PD patients on average had a higher CCI (2.3 vs 1.7, P = .040) and more frequently had dementia (42.9% vs 26.7%, P = .013). No PD patients were discharged home without additional assistance compared to 8.1% of patients without PD. More PD patients were discharged to a skilled nursing facility (SNF) than non-PD patients (65.3% vs 48.2%, P = .021). Only 22.4% of PD patients were previously prescribed osteoporosis medication, and only 16.3% were referred for osteoporosis follow-up after fracture. In-house complications, readmissions, and mortality up to 1 year were comparable between groups (P>.191).

Conclusions

Outcomes between PD patients and non-PD patients were mostly equivalent, but more PD patients required discharge to a higher-level care environment compared to non-PD patients. Although PD seems to be a risk factor for hip fracture regardless of age and sex, most patients had not undergone proper screening or preventative treatment for osteoporosis. These results emphasize the need for early bone health evaluation, multidisciplinary collaboration, and care coordination in preventing and treating hip fractures in PD.