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Maclagan LC, Emdin A, Fu L, Guan J, de Oliveira C, Marras C, Bronskill SE. Net Health System Costs of Parkinson Disease: A Propensity Score-Matched Health Administrative Data Cohort Study in Ontario, Canada. Neurol Clin Pract 2025; 15:e200371. [PMID: 39399554 PMCID: PMC11464220 DOI: 10.1212/cpj.0000000000200371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 06/13/2024] [Indexed: 10/15/2024]
Abstract
Background and Objectives Few estimates of the long-term health system costs of Parkinson disease by phase of disease are available. We estimated 10-year and phase-based net health system costs of Parkinson disease before and after case ascertainment. Methods Using population-based linked administrative databases from Ontario, Canada, we identified 43,149 community-dwelling persons with incident Parkinson disease aged 40 years and older between 2009 and 2018 using a validated algorithm. These individuals were matched 1:1 to controls without Parkinson disease based on demographics and a propensity score. We calculated phase-based, net health system costs from the provincial government perspective during the preascertainment (3 years before index), initial (1 year after index), early continuing (>1-6 years after index), later continuing (>6-10 years after index), and terminal (1 year before death, if applicable) phases (standardized to 2020 $CAD and calculated on an annual basis). By applying survival probabilities to monthly cost estimates, we also determined 10-year net health system costs, stratified by sex and age. Results Annual mean net costs of Parkinson disease were lowest in the preascertainment phase ($212 CAD, 95% CI [$20-$404]), intermediate in the initial phase ($4,576 (95% CI [$4,217-$4,935]), and higher in the early continuing phase ($7,078, 95% CI [$6,717-$7,438]). The later continuing phase ($12,500, 95% CI [$12,060-$12,940]) and the terminal phase ($13,933, 95% CI [$13,123-$14,743]) showed the highest costs. The 10-year net cost of Parkinson disease was $82,153 (95% CI [$77,965-$86,341]) and was significantly higher in women ($89,773, 95% CI [$83,306-$96,240]) than in men ($76,469, 95% CI [$70,983-$81,953]) and older individuals ($92,197, 95% CI [$87,087-$97,307]), compared with younger individuals ($62,580, 95% CI [$55,346-$69,814]). Over the 10-year period, hospital, nursing home, and home care were the largest contributors to costs of Parkinson disease. Discussion Health system costs of Parkinson disease are substantial, particularly in the later phases. Interventions to reduce avoidable use of hospital and nursing home services by persons living with Parkinson disease may provide better quality of life and be cost saving from the health system perspective.
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Affiliation(s)
- Laura C Maclagan
- Life Stage Research Program (LCM, LF, JG, CO, CM, SEB), ICES; Division of Epidemiology (AE, SEB) and Institute of Health Policy, Management & Evaluation (CO, CM, SEB), Dalla Lana School of Public Health, University of Toronto; Edmond J Safra Program in Parkinson Disease (CM), Toronto Western Hospital; Sunnybrook Research Institute (SEB), Sunnybrook Health Sciences Centre; and Women's College Research Institute (SEB), Women's College Hospital, Toronto, Ontario Canada
| | - Abby Emdin
- Life Stage Research Program (LCM, LF, JG, CO, CM, SEB), ICES; Division of Epidemiology (AE, SEB) and Institute of Health Policy, Management & Evaluation (CO, CM, SEB), Dalla Lana School of Public Health, University of Toronto; Edmond J Safra Program in Parkinson Disease (CM), Toronto Western Hospital; Sunnybrook Research Institute (SEB), Sunnybrook Health Sciences Centre; and Women's College Research Institute (SEB), Women's College Hospital, Toronto, Ontario Canada
| | - Longdi Fu
- Life Stage Research Program (LCM, LF, JG, CO, CM, SEB), ICES; Division of Epidemiology (AE, SEB) and Institute of Health Policy, Management & Evaluation (CO, CM, SEB), Dalla Lana School of Public Health, University of Toronto; Edmond J Safra Program in Parkinson Disease (CM), Toronto Western Hospital; Sunnybrook Research Institute (SEB), Sunnybrook Health Sciences Centre; and Women's College Research Institute (SEB), Women's College Hospital, Toronto, Ontario Canada
| | - Jun Guan
- Life Stage Research Program (LCM, LF, JG, CO, CM, SEB), ICES; Division of Epidemiology (AE, SEB) and Institute of Health Policy, Management & Evaluation (CO, CM, SEB), Dalla Lana School of Public Health, University of Toronto; Edmond J Safra Program in Parkinson Disease (CM), Toronto Western Hospital; Sunnybrook Research Institute (SEB), Sunnybrook Health Sciences Centre; and Women's College Research Institute (SEB), Women's College Hospital, Toronto, Ontario Canada
| | - Claire de Oliveira
- Life Stage Research Program (LCM, LF, JG, CO, CM, SEB), ICES; Division of Epidemiology (AE, SEB) and Institute of Health Policy, Management & Evaluation (CO, CM, SEB), Dalla Lana School of Public Health, University of Toronto; Edmond J Safra Program in Parkinson Disease (CM), Toronto Western Hospital; Sunnybrook Research Institute (SEB), Sunnybrook Health Sciences Centre; and Women's College Research Institute (SEB), Women's College Hospital, Toronto, Ontario Canada
| | - Connie Marras
- Life Stage Research Program (LCM, LF, JG, CO, CM, SEB), ICES; Division of Epidemiology (AE, SEB) and Institute of Health Policy, Management & Evaluation (CO, CM, SEB), Dalla Lana School of Public Health, University of Toronto; Edmond J Safra Program in Parkinson Disease (CM), Toronto Western Hospital; Sunnybrook Research Institute (SEB), Sunnybrook Health Sciences Centre; and Women's College Research Institute (SEB), Women's College Hospital, Toronto, Ontario Canada
| | - Susan E Bronskill
- Life Stage Research Program (LCM, LF, JG, CO, CM, SEB), ICES; Division of Epidemiology (AE, SEB) and Institute of Health Policy, Management & Evaluation (CO, CM, SEB), Dalla Lana School of Public Health, University of Toronto; Edmond J Safra Program in Parkinson Disease (CM), Toronto Western Hospital; Sunnybrook Research Institute (SEB), Sunnybrook Health Sciences Centre; and Women's College Research Institute (SEB), Women's College Hospital, Toronto, Ontario Canada
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Langeskov-Christensen M, Franzén E, Grøndahl Hvid L, Dalgas U. Exercise as medicine in Parkinson's disease. J Neurol Neurosurg Psychiatry 2024; 95:1077-1088. [PMID: 38418216 DOI: 10.1136/jnnp-2023-332974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 02/02/2024] [Indexed: 03/01/2024]
Abstract
Parkinson's disease (PD) is an incurable and progressive neurological disorder leading to deleterious motor and non-motor consequences. Presently, no pharmacological agents can prevent PD evolution or progression, while pharmacological symptomatic treatments have limited effects in certain domains and cause side effects. Identification of interventions that prevent, slow, halt or mitigate the disease is therefore pivotal. Exercise is safe and represents a cornerstone in PD rehabilitation, but exercise may have even more fundamental benefits that could change clinical practice. In PD, the existing knowledge base supports exercise as (1) a protective lifestyle factor preventing the disease (ie, primary prevention), (2) a potential disease-modifying therapy (ie, secondary prevention) and (3) an effective symptomatic treatment (ie, tertiary prevention). Based on current evidence, a paradigm shift is proposed, stating that exercise should be individually prescribed as medicine to persons with PD at an early disease stage, alongside conventional medical treatment.
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Affiliation(s)
- Martin Langeskov-Christensen
- Exercise Biology, Department of Public Health, Aarhus University, Aarhus, Denmark
- Department of Neurology, Viborg Regional Hospital, Viborg, Denmark
| | - Erika Franzén
- Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden
- Department of Physical Therapy, Karolinska University Hospital, Stockholm, Sweden
| | - Lars Grøndahl Hvid
- Exercise Biology, Department of Public Health, Aarhus University, Aarhus, Denmark
- The Danish MS Hospitals, Ry and Haslev, Denmark
| | - Ulrik Dalgas
- Exercise Biology, Department of Public Health, Aarhus University, Aarhus, Denmark
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De Jesus S, Daya A, Blumberger L, Lewis MM, Leslie D, Tabbal SD, Dokholyan R, Snyder AM, Mailman RB, Huang X. Prevalence of Late-Stage Parkinson's Disease in the US Healthcare System: Insights from TriNetX. Mov Disord 2024; 39:1592-1601. [PMID: 38962960 DOI: 10.1002/mds.29900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 05/29/2024] [Accepted: 06/03/2024] [Indexed: 07/05/2024] Open
Abstract
BACKGROUND Patients in late-stage Parkinson's disease (PDLS) are caregiver-dependent, have low quality of life, and higher healthcare costs. OBJECTIVE To estimate the prevalence of PDLS patients in the current US healthcare system. METHODS We downloaded the 2010-2022 data from the TriNetX Diamond claims network that consists of 92 US healthcare sites. PD was identified using standard diagnosis codes, and PDLS was identified by the usage of wheelchair dependence, personal care assistance, and/or presence of diagnoses of dementia. Age of PDLS identification and survival information were obtained and stratified by demographic and the disability subgroups. RESULTS We identified 1,031,377 PD patients in the TriNetX database. Of these, 18.8% fitted our definition of PDLS (n = 194,297), and 10.2% met two or more late-stage criteria. Among all PDLS, the mean age of PDLS identification was 78.1 (±7.7) years, and 49% were already reported as deceased. PDLS patients were predominantly male (58.5%) with similar distribution across PDLS subgroups. The majority did not have race (71%) or ethnicity (69%) information, but for the available information >90% (n = 53,162) were White, 8.2% (n = 5121) Hispanic/Latino, 7.8% (n = 4557) Black, and <0.01% (n = 408) Asian. Of the PDLS cohort, 71.6% identified with dementia, 12.9% had personal care assistance, and 4.8% were wheelchair-bound. CONCLUSIONS Late-stage patients are a significant part of the PD landscape in the current US healthcare system, and largely missed by traditional motor-based disability staging. It is imperative to include this population as a clinical, social, and research priority. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Sol De Jesus
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
- Translational Brain Research Center, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Annika Daya
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Liba Blumberger
- Department of Public Health Science, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Mechelle M Lewis
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
- Translational Brain Research Center, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
- Department of Pharmacology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Doug Leslie
- Department of Public Health Science, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Samer D Tabbal
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
- Translational Brain Research Center, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Rachel Dokholyan
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
- Translational Brain Research Center, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Amanda M Snyder
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
- Translational Brain Research Center, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Richard B Mailman
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
- Translational Brain Research Center, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
- Department of Pharmacology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
| | - Xuemei Huang
- Department of Neurology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
- Translational Brain Research Center, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
- Department of Pharmacology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
- Department of Radiology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
- Department of Neurosurgery, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
- Department of Kinesiology, Pennsylvania State University-Milton S. Hershey Medical Center, Hershey, Pennsylvania, USA
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van der Meer F, Jorgensen J, Hiligsmann M. Burden of non-motor symptoms of Parkinson's disease: cost-of-illness and quality-of-life estimates through a scoping review. Expert Rev Pharmacoecon Outcomes Res 2024:1-11. [PMID: 39138993 DOI: 10.1080/14737167.2024.2390042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 06/25/2024] [Accepted: 08/05/2024] [Indexed: 08/15/2024]
Abstract
INTRODUCTION Parkinson's Disease (PD) is a progressive, chronic neurodegenerative disease, representing significant economic and social burdens. It is typically defined by motor symptoms (MSs), however, this does not reflect the full patient burden. Non-motor symptoms (NMSs) are increasingly recognized as central characteristics of PD. However, they still lack recognition in research. Therefore, this study aims to identify relevant NMSs, their prevalence, and the effect they have on Quality-of-Life (QoL) and Cost-of-Illness (COI). Secondly, it aims to identify gaps in the current body of knowledge and propose possible ways future research could bridge those gaps. METHODS The study employed a scoping review, identifying 60 records for inclusion, using PubMed and Web of Science. It included studies from Spain or Italy, including data on People with Parkinson's Disease. A comparative analysis was performed using Microsoft Excel. RESULTS It showed that the body of evidence relevant to NMSs, their prevalence, QoL, and COI is limited, or that estimates vary to an extent where interpretation is difficult. CONCLUSION Most studies suffer from generalization, representation, and standardization issues, stemming from their designs and methodological decisions. Although the findings of this study should be interpreted with caution, several recommendations are made for future research.
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Affiliation(s)
- Frank van der Meer
- Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | | | - Mickael Hiligsmann
- Department of Health Services Research, CAPHRI, Care & Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
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Rees RN, Noyce AJ, Schrag AE. Identification of Prodromal Parkinson Disease: We May Be Able to But Should We? Neurology 2024; 102:e209394. [PMID: 38759130 PMCID: PMC11175649 DOI: 10.1212/wnl.0000000000209394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 02/20/2024] [Indexed: 05/19/2024] Open
Abstract
Parkinson disease (PD) remains a progressive and incurable disease. Research over the past decade provides strong evidence of a detectible phase before the clinical diagnosis, known as the prodromal phase of PD (pPD). In this article, we review the debate about disclosure of risk of progression to PD and related disorders to individuals through the perspectives of the pillars of medical ethics: beneficence, nonmaleficence, autonomy, and justice. There is evidence that lifestyle modification may have positive effects on onset and progression of PD, providing justification of potential benefit. From a societal perspective, a diagnosis of pPD could allow targeted recruitment to disease-modifying trials. Regarding nonmaleficence, direct evidence that catastrophic reactions are scarce is largely derived from studies of monogenic conditions, which may not be generalizable. Diagnosis of PD can be traumatic, and appropriate communication and evaluation of circumstances to weigh up disclosure is crucial. Future research should therefore examine the potential harms of early and of false-positive diagnoses and specifically examine these matters in diverse populations. Autonomy balances the right to know and the right not to know, so an individualized patient-centered approach and shared decision-making is essential, acknowledging that knowledge of being in the prodromal phase could prolong autonomy in the longer term. Distributive justice brings focus toward health care and related planning at the individual and societal level and affects the search for disease modification in PD. We must acknowledge that waiting for established disease states is likely to be too little, too late and results in failures of expensive trials and wasted participant and researcher effort. Ultimately, clinicians must arrive at a decision with the patient that solicits and integrates patients' goals, taking into account their individual life circumstances, perspectives, and philosophies, recognizing that one size cannot fit all.
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Affiliation(s)
- Richard N Rees
- From the Department of Clinical and Movement Neuroscience (R.N.R., A.E.S.), UCL Queen Square Institute of Neurology, University College London; Centre for Preventive Neurology (A.J.N.) and Wolfson Institute of Population Health (A.J.N.), Queen Mary University of London; and Department of Neurology (R.N.R.), St George's University NHS Foundation Trust, London, UK
| | - Alastair J Noyce
- From the Department of Clinical and Movement Neuroscience (R.N.R., A.E.S.), UCL Queen Square Institute of Neurology, University College London; Centre for Preventive Neurology (A.J.N.) and Wolfson Institute of Population Health (A.J.N.), Queen Mary University of London; and Department of Neurology (R.N.R.), St George's University NHS Foundation Trust, London, UK
| | - Anette E Schrag
- From the Department of Clinical and Movement Neuroscience (R.N.R., A.E.S.), UCL Queen Square Institute of Neurology, University College London; Centre for Preventive Neurology (A.J.N.) and Wolfson Institute of Population Health (A.J.N.), Queen Mary University of London; and Department of Neurology (R.N.R.), St George's University NHS Foundation Trust, London, UK
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Song LJ, Sui RX, Wang J, Miao Q, He Y, Yin JJ, An J, Ding ZB, Han QX, Wang Q, Yu JZ, Xiao BG, Ma CG. Targeting the differentiation of astrocytes by Bilobalide in the treatment of Parkinson's disease model. Int J Neurosci 2024; 134:274-291. [PMID: 36037147 DOI: 10.1080/00207454.2022.2100778] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 06/27/2022] [Accepted: 06/30/2022] [Indexed: 12/27/2022]
Abstract
Background: The etiology of Parkinson's disease (PD), a chronic and progressive neurodegenerative disease, is multifactorial but not fully unknown. Until now, no drug has been proven to have neuroprotective or neuroregenerative effects in patients with PD. Objectives: To observe the therapeutic potential of Bilobalide (BB), a constituent of ginkgo biloba, in MPTP-induced PD model, and explore its possible mechanisms of action. Material and Methods: Mice were randomly divided into three groups: healthy group, MPTP group and MPTP + BB group. PD-related phenotypes were induced by intraperitoneal injection of MPTP into male C57BL/6 mice, and BB (40 mg/kg/day) was intraperitoneally given for 7 consecutive days at the end of modeling. The injection of saline was set up as the control in a similar manner. Results: BB induced M2 polarization of microglia, accompanied by inhibition of neuroinflammation in the brain. Simultaneously, BB promoted the expression of BDNF in astrocytes and neurons, and expression of GDNF in neurons. Most interestingly, BB enhanced the formation of GFAP+ astrocytes expressing nestin, Brn2 and Ki67, as well as the transformation of GFAP+ astrocytes expressing tyrosine hydroxylase around subventricular zone, providing experimental evidence that BB could promote the conversion of astrocytes into TH+ dopamine neurons in vivo and in vitro. Conclusions: These results suggest the natural product BB may utilize multiple pathways to modify degenerative process of TH+ neurons, revealing an exciting opportunity for novel neuroprotective therapeutics. However, its multi-target and important mechanisms need to be further explored.
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Affiliation(s)
- Li-Juan Song
- The Key Research Laboratory of Benefiting Qi for Acting Blood Circulation Method to Treat Multiple Sclerosis of State Administration of Traditional Chinese Medicine/Research Center of Neurobiology, Shanxi University of Chinese Medicine, Taiyuan, China
| | - Ruo-Xuan Sui
- The Key Research Laboratory of Benefiting Qi for Acting Blood Circulation Method to Treat Multiple Sclerosis of State Administration of Traditional Chinese Medicine/Research Center of Neurobiology, Shanxi University of Chinese Medicine, Taiyuan, China
- Academy of Integrative Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jing Wang
- The Department of Neurology, Shanxi Medical University, Taiyuan, China
| | - Qiang Miao
- The Key Research Laboratory of Benefiting Qi for Acting Blood Circulation Method to Treat Multiple Sclerosis of State Administration of Traditional Chinese Medicine/Research Center of Neurobiology, Shanxi University of Chinese Medicine, Taiyuan, China
| | - Yan He
- The Key Research Laboratory of Benefiting Qi for Acting Blood Circulation Method to Treat Multiple Sclerosis of State Administration of Traditional Chinese Medicine/Research Center of Neurobiology, Shanxi University of Chinese Medicine, Taiyuan, China
| | - Jun-Jun Yin
- The Key Research Laboratory of Benefiting Qi for Acting Blood Circulation Method to Treat Multiple Sclerosis of State Administration of Traditional Chinese Medicine/Research Center of Neurobiology, Shanxi University of Chinese Medicine, Taiyuan, China
| | - Jun An
- The Key Research Laboratory of Benefiting Qi for Acting Blood Circulation Method to Treat Multiple Sclerosis of State Administration of Traditional Chinese Medicine/Research Center of Neurobiology, Shanxi University of Chinese Medicine, Taiyuan, China
| | - Zhi-Bin Ding
- The Department of Neurology, Shanxi Medical University, Taiyuan, China
| | - Qing-Xian Han
- The Key Research Laboratory of Benefiting Qi for Acting Blood Circulation Method to Treat Multiple Sclerosis of State Administration of Traditional Chinese Medicine/Research Center of Neurobiology, Shanxi University of Chinese Medicine, Taiyuan, China
| | - Qing Wang
- The Key Research Laboratory of Benefiting Qi for Acting Blood Circulation Method to Treat Multiple Sclerosis of State Administration of Traditional Chinese Medicine/Research Center of Neurobiology, Shanxi University of Chinese Medicine, Taiyuan, China
| | - Jie-Zhong Yu
- The NO. 1 Affiliated Hospital/Institute of Brain Science, Shanxi Datong University, Datong, China
| | - Bao-Guo Xiao
- Institute of Neurology, Huashan Hospital, Institutes of Brain Science and State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Cun-Gen Ma
- The Key Research Laboratory of Benefiting Qi for Acting Blood Circulation Method to Treat Multiple Sclerosis of State Administration of Traditional Chinese Medicine/Research Center of Neurobiology, Shanxi University of Chinese Medicine, Taiyuan, China
- The Department of Neurology, Shanxi Medical University, Taiyuan, China
- The NO. 1 Affiliated Hospital/Institute of Brain Science, Shanxi Datong University, Datong, China
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Aslam S, Manfredsson F, Stokes A, Shill H. "Advanced" Parkinson's disease: A review. Parkinsonism Relat Disord 2024; 123:106065. [PMID: 38418318 DOI: 10.1016/j.parkreldis.2024.106065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 02/05/2024] [Accepted: 02/21/2024] [Indexed: 03/01/2024]
Abstract
There is no consensus driven definition of "advanced" Parkinson's disease (APD) currently. APD has been described in terms of emergence of specific clinical features and clinical milestones of the disease e.g., motor fluctuations, time to increasing falls, emergence of cognitive decline, etc. The pathological burden of disease has been used to characterize various stages of the disease. Imaging markers have been associated with various motor and nonmotor symptoms of advancing disease. In this review, we present an overview of clinical, pathologic, and imaging markers of APD. We also propose a model of disease definition involving longitudinal assessments of these markers as well as quality of life metrics to better understand and predict disease progression in those with Parkinson's disease.
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Affiliation(s)
- Sana Aslam
- Barrow Neurological Institute, Phoenix, AZ, United States.
| | | | - Ashley Stokes
- Barrow Neurological Institute, Phoenix, AZ, United States
| | - Holly Shill
- Barrow Neurological Institute, Phoenix, AZ, United States
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Bhidayasiri R, Sringean J, Phumphid S, Anan C, Thanawattano C, Deoisres S, Panyakaew P, Phokaewvarangkul O, Maytharakcheep S, Buranasrikul V, Prasertpan T, Khontong R, Jagota P, Chaisongkram A, Jankate W, Meesri J, Chantadunga A, Rattanajun P, Sutaphan P, Jitpugdee W, Chokpatcharavate M, Avihingsanon Y, Sittipunt C, Sittitrai W, Boonrach G, Phonsrithong A, Suvanprakorn P, Vichitcholchai J, Bunnag T. The rise of Parkinson's disease is a global challenge, but efforts to tackle this must begin at a national level: a protocol for national digital screening and "eat, move, sleep" lifestyle interventions to prevent or slow the rise of non-communicable diseases in Thailand. Front Neurol 2024; 15:1386608. [PMID: 38803644 PMCID: PMC11129688 DOI: 10.3389/fneur.2024.1386608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 04/19/2024] [Indexed: 05/29/2024] Open
Abstract
The rising prevalence of Parkinson's disease (PD) globally presents a significant public health challenge for national healthcare systems, particularly in low-to-middle income countries, such as Thailand, which may have insufficient resources to meet these escalating healthcare needs. There are also many undiagnosed cases of early-stage PD, a period when therapeutic interventions would have the most value and least cost. The traditional "passive" approach, whereby clinicians wait for patients with symptomatic PD to seek treatment, is inadequate. Proactive, early identification of PD will allow timely therapeutic interventions, and digital health technologies can be scaled up in the identification and early diagnosis of cases. The Parkinson's disease risk survey (TCTR20231025005) aims to evaluate a digital population screening platform to identify undiagnosed PD cases in the Thai population. Recognizing the long prodromal phase of PD, the target demographic for screening is people aged ≥ 40 years, approximately 20 years before the usual emergence of motor symptoms. Thailand has a highly rated healthcare system with an established universal healthcare program for citizens, making it ideal for deploying a national screening program using digital technology. Designed by a multidisciplinary group of PD experts, the digital platform comprises a 20-item questionnaire about PD symptoms along with objective tests of eight digital markers: voice vowel, voice sentences, resting and postural tremor, alternate finger tapping, a "pinch-to-size" test, gait and balance, with performance recorded using a mobile application and smartphone's sensors. Machine learning tools use the collected data to identify subjects at risk of developing, or with early signs of, PD. This article describes the selection and validation of questionnaire items and digital markers, with results showing the chosen parameters and data analysis methods to be robust, reliable, and reproducible. This digital platform could serve as a model for similar screening strategies for other non-communicable diseases in Thailand.
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Affiliation(s)
- Roongroj Bhidayasiri
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
- The Academy of Science, The Royal Society of Thailand, Bangkok, Thailand
| | - Jirada Sringean
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Saisamorn Phumphid
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Chanawat Anan
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | | | - Suwijak Deoisres
- National Electronics and Computer Technology Centre, Pathum Thani, Thailand
| | - Pattamon Panyakaew
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Onanong Phokaewvarangkul
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Suppata Maytharakcheep
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Vijittra Buranasrikul
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Tittaya Prasertpan
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
- Sawanpracharak Hospital, Nakhon Sawan, Thailand
| | | | - Priya Jagota
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Araya Chaisongkram
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Worawit Jankate
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Jeeranun Meesri
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Araya Chantadunga
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Piyaporn Rattanajun
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Phantakarn Sutaphan
- Chulalongkorn Centre of Excellence for Parkinson’s Disease and Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Weerachai Jitpugdee
- Department of Rehabilitation Medicine, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Marisa Chokpatcharavate
- Chulalongkorn Parkinson's Disease Support Group, Department of Medicine, Faculty of Medicine, Chulalongkorn Centre of Excellence for Parkinson's Disease and Related Disorders, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand
| | - Yingyos Avihingsanon
- Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Thai Red Cross Society, Bangkok, Thailand
| | - Chanchai Sittipunt
- Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Thai Red Cross Society, Bangkok, Thailand
| | | | | | | | | | | | - Tej Bunnag
- Thai Red Cross Society, Bangkok, Thailand
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9
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Yi Z, Mao Y, He C, Zhang Y, Zhou J, Feng XL. Medication adherence and costs of medical care among patients with Parkinson's disease: an observational study using electronic medical records. BMC Public Health 2024; 24:1202. [PMID: 38689223 PMCID: PMC11061997 DOI: 10.1186/s12889-024-18431-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 03/25/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Adherence to antiparkinsonian drugs (APDs) is critical for patients with Parkinson's disease (PD), for which medication is the main therapeutic strategy. Previous studies have focused on specific disorders in a single system when assessing clinical factors affecting adherence to PD treatment, and no international comparative data are available on the medical costs for Chinese patients with PD. The present study aimed to evaluate medication adherence and its associated factors among Chinese patients with PD using a systematic approach and to explore the impact of adequate medication adherence on direct medical costs. METHODS A retrospective analysis was conducted using the electronic medical records of patients with PD from a medical center in China. Patients with a minimum of two APD prescriptions from January 1, 2016 to August 15, 2018 were included. Medication possession ratio (MPR) and proportion of days covered were used to measure APD adherence. Multiple linear regression analysis was used to identify factors affecting APD adherence. Gamma regression analysis was used to explore the impact of APD adherence on direct medical costs. RESULTS In total, 1,712 patients were included in the study, and the mean MPR was 0.68 (± 0.25). Increased number of APDs and all medications, and higher daily levodopa-equivalent doses resulted in higher MPR (mean difference [MD] = 0.04 [0.03-0.05]; MD = 0.02 [0.01-0.03]; MD = 0.03 [0.01-0.04], respectively); combined digestive system diseases, epilepsy, or older age resulted in lower MPR (MD = -0.06 [-0.09 to -0.03]; MD = -0.07 [-0.14 to -0.01]; MD = -0.02 [-0.03 to -0.01], respectively). Higher APD adherence resulted in higher direct medical costs, including APD and other outpatient costs. For a 0.3 increase in MPR, the two costs increased by $34.42 ($25.43-$43.41) and $14.63 ($4.86-$24.39) per year, respectively. CONCLUSIONS APD adherence rate among Chinese patients with PD was moderate and related primarily to age, comorbidities, and healthcare costs. The factors should be considered when prescribing APDs.
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Affiliation(s)
- Zhanmiao Yi
- Department of Pharmacy, Peking University Third Hospital, 49 North Garden Road, Haidian District, 100191, Beijing, China.
- Institute for Drug Evaluation, Peking University Health Science Center, Beijing, China.
| | - Yudan Mao
- Department of Pharmacy, Hospital of Renmin University of China, Renmin University of China, Beijing, China
| | - Chenxuan He
- Institute of Statistics and Big Data, Renmin University of China, Beijing, China
| | - Yantao Zhang
- State Grid Digital Technology Holding Co., LTD, Beijing, China
| | - Junwen Zhou
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Xing Lin Feng
- School of Public Health, Peking University, Haidian District, 100191, Beijing, China.
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10
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Malaguti MC, Gios L, Giometto B, Longo C, Riello M, Ottaviani D, Pellegrini M, Di Giacopo R, Donner D, Rozzanigo U, Chierici M, Moroni M, Jurman G, Bincoletto G, Pardini M, Bacchin R, Nobili F, Di Biasio F, Avanzino L, Marchese R, Mandich P, Garbarino S, Pagano M, Campi C, Piana M, Marenco M, Uccelli A, Osmani V. Artificial intelligence of imaging and clinical neurological data for predictive, preventive and personalized (P3) medicine for Parkinson Disease: The NeuroArtP3 protocol for a multi-center research study. PLoS One 2024; 19:e0300127. [PMID: 38483951 PMCID: PMC10939244 DOI: 10.1371/journal.pone.0300127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 02/15/2024] [Indexed: 03/17/2024] Open
Abstract
BACKGROUND The burden of Parkinson Disease (PD) represents a key public health issue and it is essential to develop innovative and cost-effective approaches to promote sustainable diagnostic and therapeutic interventions. In this perspective the adoption of a P3 (predictive, preventive and personalized) medicine approach seems to be pivotal. The NeuroArtP3 (NET-2018-12366666) is a four-year multi-site project co-funded by the Italian Ministry of Health, bringing together clinical and computational centers operating in the field of neurology, including PD. OBJECTIVE The core objectives of the project are: i) to harmonize the collection of data across the participating centers, ii) to structure standardized disease-specific datasets and iii) to advance knowledge on disease's trajectories through machine learning analysis. METHODS The 4-years study combines two consecutive research components: i) a multi-center retrospective observational phase; ii) a multi-center prospective observational phase. The retrospective phase aims at collecting data of the patients admitted at the participating clinical centers. Whereas the prospective phase aims at collecting the same variables of the retrospective study in newly diagnosed patients who will be enrolled at the same centers. RESULTS The participating clinical centers are the Provincial Health Services (APSS) of Trento (Italy) as the center responsible for the PD study and the IRCCS San Martino Hospital of Genoa (Italy) as the promoter center of the NeuroartP3 project. The computational centers responsible for data analysis are the Bruno Kessler Foundation of Trento (Italy) with TrentinoSalute4.0 -Competence Center for Digital Health of the Province of Trento (Italy) and the LISCOMPlab University of Genoa (Italy). CONCLUSIONS The work behind this observational study protocol shows how it is possible and viable to systematize data collection procedures in order to feed research and to advance the implementation of a P3 approach into the clinical practice through the use of AI models.
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Affiliation(s)
| | - Lorenzo Gios
- TrentinoSalute4.0 –Competence Center for Digital Health of the Province of Trento, Trento, Italy
| | - Bruno Giometto
- Centro Interdipartimentale di Scienze Mediche (CISMed), Facoltà di Medicina e Chirurgia, Università di Trento, Trento, Italy
| | - Chiara Longo
- Azienda Provinciale per i Servizi Sanitari (APSS) di Trento, Trento, Italy
| | - Marianna Riello
- Azienda Provinciale per i Servizi Sanitari (APSS) di Trento, Trento, Italy
| | | | | | | | - Davide Donner
- Azienda Provinciale per i Servizi Sanitari (APSS) di Trento, Trento, Italy
- Department of Medical and Surgical Sciences, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Umberto Rozzanigo
- Azienda Provinciale per i Servizi Sanitari (APSS) di Trento, Trento, Italy
| | | | - Monica Moroni
- Fondazione Bruno Kessler Research Center, Trento, Italy
| | | | | | - Matteo Pardini
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Neuroscience, Rehabilitation, Maternal and Child Health, University of Genoa, Genoa, Italy
| | - Ruggero Bacchin
- Azienda Provinciale per i Servizi Sanitari (APSS) di Trento, Trento, Italy
| | - Flavio Nobili
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | | | - Laura Avanzino
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Experimental Medicine, Section of Human Physiology, University of Genoa, Genoa, Italy
| | | | - Paola Mandich
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- DINOGMI Department, University of Genoa, Genoa, Italy
| | | | - Mattia Pagano
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Cristina Campi
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Dipartimento Di Matematica, Università Di Genova, Genoa, Italy
| | - Michele Piana
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Dipartimento Di Matematica, Università Di Genova, Genoa, Italy
| | | | | | - Venet Osmani
- Fondazione Bruno Kessler Research Center, Trento, Italy
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11
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Chaudhuri KR, Azulay JP, Odin P, Lindvall S, Domingos J, Alobaidi A, Kandukuri PL, Chaudhari VS, Parra JC, Yamazaki T, Oddsdottir J, Wright J, Martinez-Martin P. Economic Burden of Parkinson's Disease: A Multinational, Real-World, Cost-of-Illness Study. Drugs Real World Outcomes 2024; 11:1-11. [PMID: 38193999 DOI: 10.1007/s40801-023-00410-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/26/2023] [Indexed: 01/10/2024] Open
Abstract
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.
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Affiliation(s)
- K Ray Chaudhuri
- Parkinson Foundation Centre of Excellence, King's College Hospital and Kings College, London, UK.
| | - Jean-Philippe Azulay
- Department of Neurology and Movement Disorders, APHM Timone University Hospital and Institut de Neurosciences de la Timone, AMU-CNRS UMR 7289, Marseilles, France
| | - Per Odin
- University of Lund, Lund, Sweden
| | | | - Josefa Domingos
- Parkinson's Europe, Sevenoaks, UK
- Egas Moniz School of Health and Science, Almada, Portugal
| | | | | | | | | | | | | | | | - Pablo Martinez-Martin
- Center for Networked Biomedical Research in Neurodegenerative Diseases (CIBERNED), Carlos III Institute of Health, Madrid, Spain
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12
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Li S, Nianogo RA, Lin Y, Wang H, Yu Y, Paul KC, Ritz B. Cost-effectiveness analysis of insecticide ban aimed at preventing Parkinson's disease in Central California. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168913. [PMID: 38042187 PMCID: PMC11121568 DOI: 10.1016/j.scitotenv.2023.168913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 11/24/2023] [Accepted: 11/24/2023] [Indexed: 12/04/2023]
Abstract
BACKGROUND Our study assessed whether banning specific insecticides to reduce the PD burden in three Central California (CA) counties is cost-effective. METHOD We applied a cost-effectiveness analysis using a cohort-based Markov model to estimate the impact and costs of banning seven insecticides that were previously associated with PD in these counties as well as mixture exposures to some of these pesticides. We relied for our estimations on the cohort of 65- and 66-year-olds living in these counties who were unaffected by PD at baseline in 2020 and projected their incidence, costs, and reduction in quality-adjusted-life-years (QALY) loss due to developing PD over a 20-year period. We included a shiny app for modeling different scenarios (https://sherlockli.shinyapps.io/pesticide_pd_economics_part_2/). RESULTS According to our scenarios, banning insecticides to reduce the occurrence of PD in three Central CA counties was cost-effective relative to not banning insecticides. In the worst-case scenario of exposure to a single pesticide, methomyl, versus none would result in an estimated 205 (95 % CI: 75, 348) additional PD cases or 12 % (95 % CI: 4 %, 20 %) increase in PD cases over a 20-year period based on residential proximity to pesticide applications. The increase in PD cases due to methomyl would increase health-related costs by $72.0 million (95 % CI: $5.5 million, $187.4 million). Each additional PD patient due to methomyl exposure would incur $109,327 (95 % CI, $5554, $347,757) in costs per QALY loss due to PD. Exposure to methomyl based on workplace proximity to pesticide applications generated similar estimates. The highest PD burden and associated costs would be incurred from exposure to multiple pesticides simultaneously. CONCLUSION Our study provides an assessment of the cost-effectiveness of banning specific insecticides to reduce PD burden in terms of health-related QALYs and related costs. This information may help policymakers and stakeholders to make decisions concerning the regulation of pesticides.
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Affiliation(s)
- Shiwen Li
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Roch A Nianogo
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Yuyuan Lin
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Hanwen Wang
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Yu Yu
- Center for Health Policy Research, UCLA Fielding School of Public Health, Los Angeles, CA, USA
| | - Kimberly C Paul
- Department of Neurology, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Beate Ritz
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, USA; Department of Neurology, David Geffen School of Medicine, Los Angeles, CA, USA.
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13
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Tam W, Alajlani M, Abd-Alrazaq A. An Exploration of Wearable Device Features Used in UK Hospital Parkinson Disease Care: Scoping Review. J Med Internet Res 2023; 25:e42950. [PMID: 37594791 PMCID: PMC10474516 DOI: 10.2196/42950] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 03/13/2023] [Accepted: 04/14/2023] [Indexed: 08/19/2023] Open
Abstract
BACKGROUND The prevalence of Parkinson disease (PD) is becoming an increasing concern owing to the aging population in the United Kingdom. Wearable devices have the potential to improve the clinical care of patients with PD while reducing health care costs. Consequently, exploring the features of these wearable devices is important to identify the limitations and further areas of investigation of how wearable devices are currently used in clinical care in the United Kingdom. OBJECTIVE In this scoping review, we aimed to explore the features of wearable devices used for PD in hospitals in the United Kingdom. METHODS A scoping review of the current research was undertaken and reported according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. The literature search was undertaken on June 6, 2022, and publications were obtained from MEDLINE or PubMed, Embase, and the Cochrane Library. Eligible publications were initially screened by their titles and abstracts. Publications that passed the initial screening underwent a full review. The study characteristics were extracted from the final publications, and the evidence was synthesized using a narrative approach. Any queries were reviewed by the first and second authors. RESULTS Of the 4543 publications identified, 39 (0.86%) publications underwent a full review, and 20 (0.44%) publications were included in the scoping review. Most studies (11/20, 55%) were conducted at the Newcastle upon Tyne Hospitals NHS Foundation Trust, with sample sizes ranging from 10 to 418. Most study participants were male individuals with a mean age ranging from 57.7 to 78.0 years. The AX3 was the most popular device brand used, and it was commercially manufactured by Axivity. Common wearable device types included body-worn sensors, inertial measurement units, and smartwatches that used accelerometers and gyroscopes to measure the clinical features of PD. Most wearable device primary measures involved the measured gait, bradykinesia, and dyskinesia. The most common wearable device placements were the lumbar region, head, and wrist. Furthermore, 65% (13/20) of the studies used artificial intelligence or machine learning to support PD data analysis. CONCLUSIONS This study demonstrated that wearable devices could help provide a more detailed analysis of PD symptoms during the assessment phase and personalize treatment. Using machine learning, wearable devices could differentiate PD from other neurodegenerative diseases. The identified evidence gaps include the lack of analysis of wearable device cybersecurity and data management. The lack of cost-effectiveness analysis and large-scale participation in studies resulted in uncertainty regarding the feasibility of the widespread use of wearable devices. The uncertainty around the identified research gaps was further exacerbated by the lack of medical regulation of wearable devices for PD, particularly in the United Kingdom where regulations were changing due to the political landscape.
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Affiliation(s)
- William Tam
- Insitute of Digital Healthcare, Warwick Manufacturing Group, University of Warwick, Coventry, United Kingdom
| | - Mohannad Alajlani
- Insitute of Digital Healthcare, Warwick Manufacturing Group, University of Warwick, Coventry, United Kingdom
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14
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Song Y, E JY, Guo T, Sasane R, Arcona S, Keshava N, Wu E. Treatment Patterns and Healthcare Resource Use in Medicare Beneficiaries with Parkinson's Disease. CLINICOECONOMICS AND OUTCOMES RESEARCH 2023; 15:631-643. [PMID: 37551376 PMCID: PMC10404422 DOI: 10.2147/ceor.s422023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 07/25/2023] [Indexed: 08/09/2023] Open
Abstract
Background Studies on real-world treatment patterns and long-term economic burden of Parkinson's disease (PD) have been limited. Objective To assess treatment patterns, healthcare resource utilization (HRU), and costs associated with PD symptoms and treatment-related adverse events (AEs) among Medicare beneficiaries in the United States. Methods A 100% Medicare Fee-For-Service data (2006-2020) of patients with PD were analyzed. PD treatment patterns were described for the subset of patients who had no previously observed PD treatments or diagnoses (ie, the incident cohort). HRU and healthcare costs associated with PD symptoms were assessed for all patients with PD (ie, the overall cohort) and that associated with treatment-related AEs were assessed for the subset of patients who received PD treatments after PD diagnosis (ie, the active treatment cohort), using longitudinal models with repeated measures. Results Overall, 318,582 patients were included (mean age at PD diagnosis: 77.4 years; 53.3% female). Among patients in the incident cohort (N=214,829), 51.1% initiated levodopa monotherapy and 5.9% initiated dopamine agonists (DAs) monotherapy as first-line treatment. The proportion of incident patients treated with DAs and other PD therapies generally increased from post-diagnosis years 1 to 10. The median time from diagnosis to PD treatment initiation was 2.0 months; the median time to treatment discontinuation was the longest with levodopa (18.7 months), followed by DAs (9.5 months). In the overall cohort, PD symptoms, especially motor symptoms and severe motor symptoms, were associated with significantly higher rates of HRU and costs. In the active treatment cohort (N=234,298), treatment-related AEs were associated with significantly higher rates of HRU and medical costs. Conclusion While levodopa is still the mainstay of PD management, considerable heterogeneity exists in real-world treatment patterns. Overall, PD symptoms and AEs were associated with significantly higher HRU and healthcare costs, suggesting unmet medical needs for PD treatments with better tolerability profiles.
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Affiliation(s)
- Yan Song
- Analysis Group, Inc, Boston, MA, USA
| | - Jian-Yu E
- Analysis Group, Inc, Boston, MA, USA
| | - Tracy Guo
- Analysis Group, Inc, Boston, MA, USA
| | | | | | | | - Eric Wu
- Analysis Group, Inc, Boston, MA, USA
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15
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Wang R, Li X, Gu X, Cai Q, Wang Y, Yi ZM, Chen LC. The impact of China's zero markup drug policy on drug costs for managing Parkinson's disease and its complications: an interrupted time series analysis. Front Public Health 2023; 11:1159119. [PMID: 37228740 PMCID: PMC10203530 DOI: 10.3389/fpubh.2023.1159119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 04/17/2023] [Indexed: 05/27/2023] Open
Abstract
Background In April 2009, the Chinese government launched Zero Markup Drug Policy (ZMDP) to adjust medical institutions' revenue and expenditure structures. Objective This study evaluated the impact of implementing ZMDP (as an intervention) on the drug costs for managing Parkinson's disease (PD) and its complications from the healthcare providers' perspective. Methods The drug costs for managing PD and its complications per outpatient visit or inpatient stay were estimated using electronic health data from a tertiary hospital in China from January 2016 to August 2018. An interrupted time series analysis was conducted to evaluate the immediate change following the intervention (step change, β1) and the change in slope, comparing post-intervention with the pre-intervention period (trend change, β2). Subgroup analyses were conducted in outpatients within the strata of age, patients with or without health insurance, and whether drugs were listed in the national Essential Medicine List (EML). Results Overall, 18,158 outpatient visits and 366 inpatient stays were included. Outpatient (β1 = -201.7, 95%CI: -285.4, -117.9) and inpatient (β1 = -372.1, 95% CI: -643.6, -100.6) drug costs for managing PD significantly decreased when implementing ZMDP. However, for outpatients without health insurance, the trend change in drug costs for managing PD (β2 = 16.8, 95% CI: 8.0, 25.6) or PD complications (β2 = 12.6, 95% CI: 5.5, 19.7) significantly increased. Trend changes in outpatient drug costs for managing PD differed when stratifying drugs listed in EML (β2 = -1.4, 95% CI: -2.6, -0.2) or not (β2 = 6.3, 95%CI: 2.0, 10.7). Trend changes of outpatient drug costs for managing PD complications significantly increased in drugs listed in EML (β2 = 14.7, 95% CI 9.2, 20.3), patients without health insurance (β2 = 12.6, 95% CI 5.5, 19.7), and age under 65 (β2 = 24.3, 95% CI 17.3, 31.4). Conclusions Drug costs for managing PD and its complications significantly decreased when implementing ZMDP. However, the trend in drug costs increased significantly in several subgroups, which may offset the decrease at the implementation.
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Affiliation(s)
- Ruilin Wang
- Department of Pharmacy, Peking University Third Hospital, Beijing, China
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China
| | - Xinya Li
- Department of Pharmacy, Peking University Third Hospital, Beijing, China
- Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences, Peking University, Beijing, China
- Institute for Drug Evaluation, Peking University Health Science Center, Beijing, China
- Therapeutic Drug Monitoring and Clinical Toxicology Center, Peking University, Beijing, China
| | - Xinchun Gu
- Division of Pharmacy and Optometry, Centre for Pharmacoepidemiology and Drug Safety, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Qian Cai
- Division of Pharmacy and Optometry, Centre for Pharmacoepidemiology and Drug Safety, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Yayong Wang
- Department of Pharmacy, Peking University Third Hospital, Beijing, China
| | - Zhan-Miao Yi
- Department of Pharmacy, Peking University Third Hospital, Beijing, China
- Institute for Drug Evaluation, Peking University Health Science Center, Beijing, China
- Therapeutic Drug Monitoring and Clinical Toxicology Center, Peking University, Beijing, China
| | - Li-Chia Chen
- Division of Pharmacy and Optometry, Centre for Pharmacoepidemiology and Drug Safety, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom
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16
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Barer Y, Cohen R, Grabarnik-John M, Ye X, Zamudio J, Gurevich T, Chodick G. Progressive supranuclear palsy's economical burden: the use and costs of healthcare resources in a large health provider in Israel. J Neurol 2023:10.1007/s00415-023-11714-1. [PMID: 37069439 DOI: 10.1007/s00415-023-11714-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/19/2023] [Accepted: 04/05/2023] [Indexed: 04/19/2023]
Abstract
BACKGROUND Progressive supranuclear palsy (PSP) is a rare and fatal neurodegenerative movement disorder with no disease modifying therapy currently available. Data on the costs associated with PSP are scarce. This study aims to assess the direct medical expenditure of patients with PSP (PwPSP) throughout disease course. METHODS This retrospective cohort study is based on the data of a large state-mandated health provider in Israel. We identified PwPSP who were initially diagnosed between 2000 and 2017. Each PwPSP was randomly matched to three health-plan members without PSP by birth-year, sex, and socioeconomic status. Healthcare resources' utilization and related costs were assessed. RESULTS We identified 88 eligible PwPSP and 264 people in the reference group; mean age at diagnosis was 72.6 years (SD = 8.4) and 53.4% were female. The annual direct costs of PwPSP have risen over time, reaching US$ 21,637 in the fifth year and US$ 36,693 in the tenth year of follow-up vs US$ 8910 in the year prior diagnosis. Compared to people without PSP, PwPSP had substantially higher medical expenditure during the years prior- and post-index date. CONCLUSION The present study demonstrates higher economic burden, which increases with time, in PwPSP as compared to those without.
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Affiliation(s)
- Yael Barer
- Maccabitech, Maccabi Institute for Research and Innovation, Maccabi Healthcare Services, Ha'Mered 27, 6812509, Tel Aviv, Israel.
| | | | | | | | | | - Tanya Gurevich
- Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Gabriel Chodick
- Maccabitech, Maccabi Institute for Research and Innovation, Maccabi Healthcare Services, Ha'Mered 27, 6812509, Tel Aviv, Israel
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
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Cha Y, Park TY, Leblanc P, Kim KS. Current Status and Future Perspectives on Stem Cell-Based Therapies for Parkinson's Disease. J Mov Disord 2023; 16:22-41. [PMID: 36628428 PMCID: PMC9978267 DOI: 10.14802/jmd.22141] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 10/15/2022] [Accepted: 10/29/2022] [Indexed: 01/12/2023] Open
Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disorder after Alzheimer's disease, affecting 1%-2% of the population over the age of 65. As the population ages, it is anticipated that the burden on society will significantly escalate. Although symptom reduction by currently available pharmacological and/or surgical treatments improves the quality of life of many PD patients, there are no treatments that can slow down, halt, or reverse disease progression. Because the loss of a specific cell type, midbrain dopamine neurons in the substantia nigra, is the main cause of motor dysfunction in PD, it is considered a promising target for cell replacement therapy. Indeed, numerous preclinical and clinical studies using fetal cell transplantation have provided proof of concept that cell replacement therapy may be a viable therapeutic approach for PD. However, the use of human fetal cells remains fraught with controversy due to fundamental ethical, practical, and clinical limitations. Groundbreaking work on human pluripotent stem cells (hPSCs), including human embryonic stem cells and human induced pluripotent stem cells, coupled with extensive basic research in the stem cell field offers promising potential for hPSC-based cell replacement to become a realistic treatment regimen for PD once several major issues can be successfully addressed. In this review, we will discuss the prospects and challenges of hPSC-based cell therapy for PD.
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Affiliation(s)
- Young Cha
- Department of Psychiatry and Molecular Neurobiology Laboratory, McLean Hospital and Program in Neuroscience, Harvard Medical School, Belmont, MA, USA
| | - Tae-Yoon Park
- Department of Psychiatry and Molecular Neurobiology Laboratory, McLean Hospital and Program in Neuroscience, Harvard Medical School, Belmont, MA, USA
| | - Pierre Leblanc
- Department of Psychiatry and Molecular Neurobiology Laboratory, McLean Hospital and Program in Neuroscience, Harvard Medical School, Belmont, MA, USA
| | - Kwang-Soo Kim
- Department of Psychiatry and Molecular Neurobiology Laboratory, McLean Hospital and Program in Neuroscience, Harvard Medical School, Belmont, MA, USA
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Tam W, Alajlani M, Abd-alrazaq A. An Exploration of Wearable Device Features Used in UK Hospital Parkinson Disease Care: Scoping Review (Preprint).. [DOI: 10.2196/preprints.42950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
BACKGROUND
The prevalence of Parkinson disease (PD) is becoming an increasing concern owing to the aging population in the United Kingdom. Wearable devices have the potential to improve the clinical care of patients with PD while reducing health care costs. Consequently, exploring the features of these wearable devices is important to identify the limitations and further areas of investigation of how wearable devices are currently used in clinical care in the United Kingdom.
OBJECTIVE
In this scoping review, we aimed to explore the features of wearable devices used for PD in hospitals in the United Kingdom.
METHODS
A scoping review of the current research was undertaken and reported according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. The literature search was undertaken on June 6, 2022, and publications were obtained from MEDLINE or PubMed, Embase, and the Cochrane Library. Eligible publications were initially screened by their titles and abstracts. Publications that passed the initial screening underwent a full review. The study characteristics were extracted from the final publications, and the evidence was synthesized using a narrative approach. Any queries were reviewed by the first and second authors.
RESULTS
Of the 4543 publications identified, 39 (0.86%) publications underwent a full review, and 20 (0.44%) publications were included in the scoping review. Most studies (11/20, 55%) were conducted at the Newcastle upon Tyne Hospitals NHS Foundation Trust, with sample sizes ranging from 10 to 418. Most study participants were male individuals with a mean age ranging from 57.7 to 78.0 years. The AX3 was the most popular device brand used, and it was commercially manufactured by Axivity. Common wearable device types included body-worn sensors, inertial measurement units, and smartwatches that used accelerometers and gyroscopes to measure the clinical features of PD. Most wearable device primary measures involved the measured gait, bradykinesia, and dyskinesia. The most common wearable device placements were the lumbar region, head, and wrist. Furthermore, 65% (13/20) of the studies used artificial intelligence or machine learning to support PD data analysis.
CONCLUSIONS
This study demonstrated that wearable devices could help provide a more detailed analysis of PD symptoms during the assessment phase and personalize treatment. Using machine learning, wearable devices could differentiate PD from other neurodegenerative diseases. The identified evidence gaps include the lack of analysis of wearable device cybersecurity and data management. The lack of cost-effectiveness analysis and large-scale participation in studies resulted in uncertainty regarding the feasibility of the widespread use of wearable devices. The uncertainty around the identified research gaps was further exacerbated by the lack of medical regulation of wearable devices for PD, particularly in the United Kingdom where regulations were changing due to the political landscape.
CLINICALTRIAL
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Albarmawi H, Zhou S, Shulman LM, Gandhi AB, Johnson A, Myers DE, Gray D, Alvir J, Onukwugha E. The economic burden of Parkinson disease among Medicare beneficiaries. J Manag Care Spec Pharm 2022; 28:405-414. [PMID: 35332791 PMCID: PMC10372956 DOI: 10.18553/jmcp.2022.28.4.405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND: The progressive nature of Parkinson disease (PD), together with a lack of curative treatments, contributes to its economic burden. OBJECTIVE: To estimate the longitudinal incremental costs attributable to PD among Medicare beneficiaries. METHODS: In this retrospective cohort study, we used data from the Chronic Conditions Data Warehouse to identify Medicare beneficiaries with and without PD-related claims identified from 2006 to 2014 with follow-up until 2015. We grouped PD cases and controls based on their survival profiles using a grouping algorithm that used the following baseline measures: age, race, sex, and comorbidity. We identified 3 survival groups and used them to stratify the descriptive annual cost estimates in the 9 years after the index date. We estimated the incremental 1-, 3-, and 5-year costs of PD using generalized linear models (GLM) that controlled for baseline factors. RESULTS: We identified 27,394 cases and controls who were grouped into 3 survival groups. The mean age of the full study sample was 73 years. No material differences were found in the incremental cost of PD across the survival groups. Based on the multivariable GLM, the 1-year incremental cost of PD was $9,625 (95% CI, $9,054-$10,197). The 3-year incremental cost of PD was $20,832 (95% CI, $19,390-$22,274). The 5-year incremental cost of PD was $27,466 (95% CI, 25,088-$29,844). CONCLUSIONS: Among Medicare beneficiaries, PD is associated with excess costs compared with controls. We did not identify substantial differences in the incremental cost of PD across the survival groups. DISCLOSURES:This study was funded by Pfizer Inc. The funding agreement did not impact the authors' independence in designing the study, collecting the data, interpreting the data, writing the manuscript, and submitting the manuscript for publication. Dr Onukwugha reports grants from Pfizer Inc for the conduct of this study and is an employee of University of Maryland, Baltimore, which received financial support from Pfizer Inc in connection with the development of this manuscript; Dr Shulman reports research funding from Pfizer Inc related to the current work, is an employee of University of Maryland, Baltimore, which received financial support from Pfizer Inc in connection with the development of this manuscript, and reports research funding from the NIH, The Rosalyn Newman Foundation, and the Eugenia and Michael Brin family unrelated to the current work and royalties from Oxford University Press and Johns Hopkins University Press; Ms Myers and Dr Alvir are employees and stockholders of Pfizer Inc; Dr Gray was an employee and stockholder of Pfizer Inc at the time of analysis.
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Affiliation(s)
- Husam Albarmawi
- Department of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore. Now with Genentech Inc
| | - Shujia Zhou
- Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County
| | - Lisa M Shulman
- Department of Neurology, University of Maryland, School of Medicine, Baltimore
| | - Aakash Bipin Gandhi
- Department of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore.,Now with Sanofi, US
| | - Abree Johnson
- Department of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore
| | | | - David Gray
- Pfizer Inc., Cambridge, MA. Now with Cerevel Therapeutics
| | | | - Eberechukwu Onukwugha
- Department of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore
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20
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Zhang H, Zhou W, Zhang D. Direct Medical Costs of Parkinson's Disease in Southern China: A Cross-Sectional Study Based on Health Insurance Claims Data in Guangzhou City. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19063238. [PMID: 35328925 PMCID: PMC8953775 DOI: 10.3390/ijerph19063238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 03/01/2022] [Accepted: 03/04/2022] [Indexed: 11/16/2022]
Abstract
Background: Parkinson’s disease (PD) is the second most common neurodegenerative disorder. This study aims to evaluate the direct medical costs of patients with PD using a large sample from an entire city and to identity the potential factors correlating with their inpatient costs in Guangzhou City, Southern China. Methods: This retrospective cross-sectional study uses data obtained from the Urban Employee-based Basic Medical Insurance (UEBMI) and the Urban Resident-based Basic Medical Insurance (URBMI) administrative claims databases in Guangzhou City from 2008 to 2012. The total sample was comprised of 2660 patients with PD. Costs were evaluated for the total sample and by types of insurance. The composition of costs was compared between the UEBMI and URBMI subgroups. The extended estimating-equations model was applied to identify the potential impact factors influencing the inpatient costs. Results: The direct medical costs per patient with PD were CNY 14,514.9 (USD 2299.4) in 2012, consisting of inpatient costs of CNY 13,551.4 and outpatient costs of CNY 963.5. The medication costs accounted for the largest part (50.3%). The inpatient costs of PD patients under the UEBMI scheme (CNY 13,651.0) were significantly higher than those of patients in the URBMI subgroup (CNY 12,402.2) (p < 0.05). The proportion of out-of-pocket spending out of inpatient and outpatient costs for UEBMI beneficiaries (24.3% and 56.1%) was much lower than that for patients under the URBMI scheme (47.9% and 76.2%). The regression analysis suggested that types of insurance, age, hospital levels, length of stay (LOS) and comorbidities were significantly correlated with the inpatient costs of patients with PD. Conclusions: The direct medical costs of patients with PD in China were high compared to the GDP per capita in Guangzhou City and different between the two evaluated types of insurance. Patients with the UEBMI scheme, of older age, with comorbidities, staying in tertiary hospitals and with longer LOS had significantly higher inpatient costs. Thus, policymakers need to reduce the gaps between the two urban insurance schemes in benefit levels, provide support for the development of a comprehensive long-term care insurance system and promote the use of telemedicine in China.
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Affiliation(s)
- Hui Zhang
- School of Public Health, Sun Yat-sen University, No. 74, Zhongshan 2nd Road, Guangzhou 510080, China;
- Correspondence:
| | - Wenjing Zhou
- School of Public Health, Sun Yat-sen University, No. 74, Zhongshan 2nd Road, Guangzhou 510080, China;
| | - Donglan Zhang
- Division of Health Services Research, New York University Long Island School of Medicine, Mineola, NY 11501, USA;
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21
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Zwicker J, Qureshi D, Talarico R, Webber C, Watt C, Kim W, Milani C, Ramanathan U, Mestre T, Tanuseputro P. Dying with Parkinson's Disease: Healthcare Utilization and Costs in the Last Year of Life. JOURNAL OF PARKINSON'S DISEASE 2022; 12:2249-2259. [PMID: 36120791 DOI: 10.3233/jpd-223429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
BACKGROUND The end-of-life period is associated with disproportionately higher health care utilization and cost at the population level but there is little data in Parkinson's disease (PD). OBJECTIVE The goals of this study were to 1) compare health care use and associated cost in the last year of life between decedents with and without PD, and 2) identify factors associated with palliative care consultation and death in hospital. METHODS Using linked administrative datasets held at ICES, we conducted a retrospective, population-based cohort study of all Ontario, Canada decedents from 2015 to 2017. We examined demographic data, rate of utilization across healthcare sectors, and cost of health care services in the last year of life. RESULTS We identified 291,276 decedents of whom 12,440 (4.3%) had a diagnosis of PD. Compared to decedents without PD, decedents with PD were more likely to be admitted to long-term care (52% vs. 23%, p < 0.001) and received more home care (69.0 vs. 41.8 days, p < 0.001). Receipt of palliative homecare or physician palliative home consultation were associated with lower odds of dying in hospital (OR: 0.24, 95% CI: 0.19- 0.30, and OR: 0.38, 95% CI: 0.33- 0.43, respectively). Mean cost of care in the last year of life was greater for decedents with PD ($68,391 vs. $59,244, p < 0.001). CONCLUSION Compared to individuals without PD, individuals with PD have higher rates of long-term care, home care and higher health care costs in the last year of life. Palliative care is associated with a lower rate of hospital death.
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Affiliation(s)
- Jocelyn Zwicker
- The Ottawa Hospital, Division of Neurology, Ottawa, ON, Canada
- The University of Ottawa, Ottawa, ON, Canada
- The Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Danial Qureshi
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Bruyère Research Institute, Ottawa, ON, Canada
| | | | - Colleen Webber
- The Ottawa Hospital Research Institute, Ottawa, ON, Canada
- ICES, Ottawa, ON, Canada
- Bruyère Research Institute, Ottawa, ON, Canada
| | - Christine Watt
- The Ottawa Hospital, Division of Palliative Care, Ottawa, ON, Canada
- The Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Elisabeth Bruyère Hospital, Ottawa, ON, Canada
| | - WooJin Kim
- The Ottawa Hospital, Division of Neurology, Ottawa, ON, Canada
- The University of Ottawa, Ottawa, ON, Canada
| | | | - Usha Ramanathan
- Scarborough Health Network, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - Tiago Mestre
- The Ottawa Hospital, Division of Neurology, Ottawa, ON, Canada
- The University of Ottawa, Ottawa, ON, Canada
- The Ottawa Hospital Research Institute, Ottawa, ON, Canada
- University of Ottawa Mind and Brain Institute, Ottawa, ON, Canada
| | - Peter Tanuseputro
- The Ottawa Hospital, Division of Palliative Care, Ottawa, ON, Canada
- The Ottawa Hospital Research Institute, Ottawa, ON, Canada
- ICES, Ottawa, ON, Canada
- Bruyère Research Institute, Ottawa, ON, Canada
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22
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Soh EML, Neo S, Saffari SE, Wong ASY, Ganesan G, Li W, Ng HL, Xu Z, Tay KY, Au WL, Tan KB, Tan LCS. Longitudinal Healthcare Utilization and Costs in Parkinson's Disease: Pre-Diagnosis to 9 Years After. JOURNAL OF PARKINSON'S DISEASE 2022; 12:957-966. [PMID: 34974439 DOI: 10.3233/jpd-212982] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
BACKGROUND There is currently insufficient long-term data on costs of treatment in patients with Parkinson's disease (PD), which is chronic and progressive, and associated with substantial healthcare costs. Identifying patterns in healthcare utilization and cost may illuminate further discussion on early intervention. OBJECTIVE To characterize long-term healthcare utilization and costs of PD in newly diagnosed patients managed by movement disorder specialists. METHODS Using a longitudinal matched-cohort study of linked data from the National Neuroscience Institute Parkinson's disease and Movement Disorder and healthcare administrative databases in Singapore from 2008-2017, we compared healthcare utilization and costs between patients and controls matched on age, sex, race, and Charlson Comorbidity Index score. RESULTS 1,162 patients met study inclusion criteria and 1,157 matched controls were identified. The total mean annual healthcare cost (at 2017 costs) was significantly increased in patients compared to controls from years 1-9 post-diagnosis. The increased cost was observed 2 years before diagnosis (USD2322 vs. 2052; p < 0.001). Mean annual cost attributable to PD increased from USD1854 at 1-year post-diagnosis to USD2652 at 9 years. Over 9 years, average costs were significantly higher across all domains of healthcare utilization except primary care-cost of intermediate and long-term care was increased by a factor of 2.5, specialist care by 2.3, emergency department visits by 1.6, and hospital admissions by 1.3. CONCLUSION PD results in higher healthcare utilization and costs. Pre-diagnosis increase in healthcare utilization observed in patients supports the presence of prodromal PD symptoms and may present an opportunity for early diagnosis.
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Affiliation(s)
| | - Shermyn Neo
- National Neuroscience Institute, Singapore
- Parkinson's Foundation Center of Excellence, Singapore
| | - Seyed Ehsan Saffari
- Duke-NUS Medical School, Singapore
- National Neuroscience Institute, Singapore
- Parkinson's Foundation Center of Excellence, Singapore
| | - Aidan Sheng Yong Wong
- National Neuroscience Institute, Singapore
- Parkinson's Foundation Center of Excellence, Singapore
| | - Ganga Ganesan
- Policy Research and Evaluation Division, Ministry of Health, Singapore
| | - Wei Li
- National Neuroscience Institute, Singapore
- Parkinson's Foundation Center of Excellence, Singapore
| | - Hwee Lan Ng
- National Neuroscience Institute, Singapore
- Parkinson's Foundation Center of Excellence, Singapore
| | - Zheyu Xu
- National Neuroscience Institute, Singapore
- Parkinson's Foundation Center of Excellence, Singapore
| | - Kay Yaw Tay
- National Neuroscience Institute, Singapore
- Parkinson's Foundation Center of Excellence, Singapore
| | - Wing Lok Au
- Duke-NUS Medical School, Singapore
- National Neuroscience Institute, Singapore
- Parkinson's Foundation Center of Excellence, Singapore
| | - Kelvin Bryan Tan
- Policy Research and Evaluation Division, Ministry of Health, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Louis Chew Seng Tan
- Duke-NUS Medical School, Singapore
- National Neuroscience Institute, Singapore
- Parkinson's Foundation Center of Excellence, Singapore
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23
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Dahodwala N, Jahnke J, Pettit AR, Li P, Ladage VP, Kandukuri PL, Bao Y, Zamudio J, Jalundhwala YJ, Doshi JA. Low Sustainment of High-Dose Oral Medication Regimens for Advanced Parkinson's Disease in Medicare Beneficiaries. JOURNAL OF PARKINSONS DISEASE 2021; 11:675-684. [PMID: 33386811 DOI: 10.3233/jpd-202147] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Increasing doses of oral antiparkinson medications are indicated in advanced Parkinson's disease (PD), but little is known about sustainment of high-dose regimens. OBJECTIVE To investigate sustainment of high-dose oral medication regimens in Medicare beneficiaries with incident advanced PD. METHODS This retrospective cohort study utilized 100%fee-for-service Medicare claims from 2011-2013. We identified advanced PD using a pharmacy claims-based proxy and selected patients who initiated a new high-dose oral medication regimen (daily levodopa equivalent dose [LED] >1000 mg/day for ≥30 days) in 2012. In the following 12 months, we examined: 1) annual proportion of days covered (PDC)≥0.80 and 2) presence of a ≥ 90 day continuous gap at varying dosage thresholds: the initial >1000 mg/day, >800 mg/day, >500 mg/day, or >0 mg/day. RESULTS We identified 9,405 patients with advanced PD (mean age 77.4 [SD 6.8] years; 53%men). Only 5%maintained a regimen of >1000 mg/day at PDC ≥0.80; 75% had a ≥ 90-day gap in that dosage level. At a dosage threshold of >800 mg/day, 20% had a PDC ≥0.80 and 53% had a ≥ 90-day gap; at >500 mg/day, 56% had a PDC ≥0.80 and 19%had a ≥ 90-day gap; and at >0 mg/day (any dose), 76% had a PDC ≥0.80 and only 10%had a≥90-day gap. CONCLUSION Few patients with advanced PD sustained a high-dose oral medication regimen in the year following initiation, but most sustained a substantially lower-dose regimen. Strategies to improve advanced PD treatment are needed.
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Affiliation(s)
- Nabila Dahodwala
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.,Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA
| | - Jordan Jahnke
- Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amy R Pettit
- Center for Public Health Initiatives, University of Pennsylvania, Philadelphia, PA, USA
| | - Pengxiang Li
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.,Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Vrushabh P Ladage
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.,Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | | | - Jalpa A Doshi
- Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.,Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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