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DOI: 10.1055/s-0045-1814375
Demographics, treatment patterns, and healthcare resource utilization in Parkinson's disease: a real-world data study using a claims database
Authors
Abstract
Background
Parkinson's disease (PD) is a progressive neurodegenerative disorder associated with substantial disability, morbidity, and mortality. Timely diagnosis and treatment are essential to mitigate its impact. Despite its burden, real-world data on PD in Brazil remain limited.
Objective
To describe the demographic and clinical profile of individuals with PD treated in the Brazilian public healthcare system and to evaluate patterns of treatment and healthcare resource utilization (HCRU).
Methods
The present observational, retrospective, longitudinal study analyzed data from the Brazilian public healthcare system (Sistema Único de Saúde, SUS, in Portuguese) between January 2013 and December 2022. Patients aged ≥ 20 years with at least 2 core procedures coded for PD (ICD-10 G20) were included. Inpatient and outpatient datasets were analyzed separately.
Results
A total of 53,674 PD patients were identified. The mean age at diagnosis was 65.4 years, with a slight male predominance (53.0%). Most patients (47.0%) had more than 6 outpatient visits, and 44.4% had 1 or 2 hospitalizations. The most frequent procedures were PD treatment (inpatient) and physical therapy (outpatient). The most used medications were pramipexole (45.6%), amantadine (26.0%), and entacapone (17.1%).
Conclusion
The present study provides valuable insights into the demographic and clinical profile of PD patients in Brazil, highlighting frequent procedures and treatment patterns. A key limitation is the non-capture of basic PD medications, such as levodopa, which are often dispensed outside the analyzed datasets. These findings underscore the need for improved data integration and access to comprehensive PD care within the public health system.
INTRODUCTION
Parkinson's disease (PD) is a chronic, progressive neurodegenerative disorder that affects ∼ 1 to 3% of individuals over the age of 65. It is clinically characterized by motor symptoms such as bradykinesia, resting tremor, rigidity, and postural instability, as well as a range of non-motor manifestations that contribute to significant morbidity and reduced quality of life.[1] [2] Among neurological disorders, PD has shown one of the fastest-growing prevalence rates globally, contributing to substantial healthcare burden and increased mortality.[3] [4]
In Brazil, the prevalence of PD is rising, largely attributed to the aging population.[5] As the disease advances, patients often experience fluctuations in motor response and the emergence of motor and non-motor complications that are less responsive to conventional pharmacological therapies, including monoamine oxidase B (MAO-B) inhibitors, dopamine agonists, and catechol-O-methyltransferase (COMT) inhibitors.[6] [7] [8] [9] This clinical stage is commonly referred to as advanced PD (aPD).
Despite progress in neuroimaging and molecular research, PD diagnosis remains primarily clinical, as no definitive biomarker or imaging modality has been established for routine use.[10] Techniques such as magnetic resonance imaging (MRI), positron-emission tomography (PET), and dopamine transporter (DAT) scans may support diagnosis in selected cases.[11] [12] [13] However, in public healthcare settings, particularly those with limited resources, access to multidisciplinary care is often constrained, leading to delays in diagnosis and suboptimal disease management.[14]
Although PD is incurable, a range of therapeutic strategies—including pharmacological and surgical interventions—are available to manage symptoms and improve patient outcomes.[15] Nevertheless, there is a paucity of real-world data on the clinical characteristics, treatment patterns, and healthcare resource utilization (HCRU) of PD patients within the Brazilian Unified Health System (Sistema Único de Saúde, SUS, in Portuguese).
The current study aims to describe the demographic and clinical profile of individuals with PD treated in SUS and to evaluate patterns of treatment and HCRU, thereby contributing to a better understanding of disease management in the Brazilian context.
METHODS
The present is an observational retrospective longitudinal study in SUS. Cases were identified based on the administrative claims databases from the Computer Science Department of the SUS (Departamento de Informática do SUS, DATASUS, in Portuguese) that contain information and statistics from all municipalities in Brazil and are publicly available.
To improve diagnostic specificity and minimize misclassification, only patients aged ≥ 20 years with at least 2 recorded core procedures related to PD (International Classification of Diseases, Tenth Revision [ICD-10], code G20) were included (Supplementary Material, available at https://www.arquivosdeneuropsiquiatria.org/wp-content/uploads/2025/10/ANP-2025.0042-Supplementary-Material.docx). This criterion, commonly used in administrative database studies, helps ensure a higher likelihood of confirmed diagnosis by reducing the inclusion of isolated or miscoded cases.
To exclude secondary parkinsonism, only ICD-10 code G20 was used, and codes for other parkinsonian syndromes (such as G21–G26) were not included. Patients were identified between January 2013 and December 2022 and followed up from their first PD-related claim until loss to follow-up or the end of the study period, whichever occurred first.
The Hospital Information System (Sistema de Informações Hospitalares, SIH, in Portuguese) and Ambulatory Information System (Sistema de Informações Ambulatoriais, SIA, in Portuguese ), which provide inpatient and outpatient data, respectively, are separate datasets and were linked at the patient level using a probabilistic linkage approach. The linkage used in this analysis was developed by Techtrials Pesquisa e Tecnologia Ltda. and used different combinations of patient information from both databases, such as date of birth, sex, and ZIP code, identifying patients in both systems. This method relies on multiple steps with different combinations of patient information from both databases, making it possible to identify or link patient data in both systems while maintaining the de-identified nature of the database.
Comorbidities were assessed using ICD-10 codes recorded in both inpatient (SIH) and outpatient (SIA) datasets over the entire study period (2013–2022). Patients were classified as having comorbidities if any relevant ICD-10 codes were present in their records during this timeframe.
The outcomes were summarized by calendar year or by year after the index date using descriptive statistics. Continuous variables were described using measures of central tendency (mean, median) and measures of spread, including range, and quartiles. Categorical variables were described as counts and percentages. The treatment patterns were assessed by the number and proportion of the different drugs used to treat PD considering only the Outpatient Procedure Authorization (Autorização de Procedimentos Ambulatoriais, APAC, in Portuguese) claims. As such, this dataset does not include medications provided through the Basic Component of Pharmaceutical Assistance, such as levodopa-benserazide and levodopa-carbidopa. Consequently, the analysis of pharmacological treatment patterns in the present study reflects only a subset of patients receiving advanced therapies and does not capture the full spectrum of PD pharmacological management within SUS.
Missing data was reported, and no data imputation was performed. All computations and generation of tables, listings, graphics, and data for figures were performed using the Python (Python Software Foundation) software, version 3.11.0.
RESULTS
Study population
A total of 55,378 individuals with at least 2 core procedures of ICD-10 code G20 were identified in the database from 2013 to 2022. Of these, 1,704 (3.1%) were excluded because they were under 20 years old at the 1st PD claim. Thus, the final cohort of this study consisted of 53,674 patients. From the entire cohort, 10,728 patients had at least 2 core inpatient procedures with the ICD-10 code G20. Out of these, 3,513 were excluded because they were under 20 years old at the time of the 1st PD claim. Therefore, the final cohort for evaluating HCRU, and procedures in the inpatient setting consisted of 7,215 patients ([Figure 1]).


Demographics and clinical profile
Among the identified PD patients (n = 53,674), the mean age at the index date was of 65.4 ± 13.6 years. Regarding gender, there was a slight male predominance (53.0%). Most of the population resided in the Southeast region of Brazil (48.8%) and did not have comorbidities (61.3%) ([Table 1]).
Healthcare Resource Utilization (HCRU)
From the entire cohort, 53,075 patients had at least 1 outpatient visit due to PD, with a total of 835,235 visits during the study period. Most of the patients (47.0%) had more than 6 outpatient visits, with a mean number of outpatient visits related to PD of 15.8 (60.9) ([Table 2]).
Abbreviations: IQR, interquartile range; PPPY, per patient per year.
In the inpatient setting, 7,215 patients had at least 1 hospitalization due to PD, and there was a total of 9,101 hospitalizations during the study period. Most patients (44.4%) had between 1 and 2 hospitalizations, with the average (SD) number of hospital admissions related to PD being 5.10 ± 11.3 ([Table 2]).
It is notable that in 2020, the number of procedures performed decreased by 30.1% and 25.8% in the inpatient and outpatient settings, respectively. In the inpatient setting, the most common procedures performed on PD patients were PD treatment, pharmacological adjustment of acute neurological situations, and treatment of patients under long-term care for neurological disease. Parkinson's disease treatment was performed on most patients (4,501; 62.4%), with an average of 467 patients per year ([Table 3]).
In the outpatient setting, the most common procedures performed on PD patients were physical therapy in patients with neurokinetic-functional disorders without systemic complications, with motor changes, and with neurokinetic-functional disorders with systemic complications. Physical therapy in patients with neurokinetic-functional disorders without systemic complications was performed on 17,616 patients (33.2%), with an average of 2,746 patients per year ([Table 3]). When analyzing by years after the index date, it is notable that diagnostic procedures are most frequently performed in the first year, while physical therapy is conducted over a longer period ([Table 4]).
Treatment patterns
Regarding treatment patterns, data from the APAC claims were available for 19,566 patients. The most used drugs for PD patients were pramipexole (8,921 patients; 45.6%), amantadine (5,096 patients; 26.0%), and entacapone (3,340 patients; 17.1%) ([Table 5]).
As this analysis is based solely on APAC claims, medications commonly used in the treatment of PD—such as levodopa, typically dispensed through the Basic Component of Pharmaceutical Assistance—were not captured in the dataset. Therefore, treatment patterns described here reflect only high-cost medications authorized through APAC. Among the PD patients included, most (N = 9,306) initiated treatment with monotherapy, defined in this context as the use of a single high-cost drug (such as pramipexole, amantadine, or entacapone). Most of these patients remained on monotherapy in the second line of treatment. Notably, among those who transitioned to combination therapy in the second line, monotherapy was again the most frequent approach in the third line ([Figure 2]).


For PD patients who received combination therapy as their initial treatment, the majority (N = 1,732) were administered a regimen of 2 medications, while 150 were treated with a regimen of 3 drugs. Most patients treated with 2 medicines in line of therapy (LOT)-1 switched to monotherapy in the 2nd line, whereas most patients treated with 3 medications in LOT-1 continued with combination therapy in the 2nd line ([Figure 2]).
DISCUSSION
Parkinson's disease is a chronic, progressive neurodegenerative disorder that significantly affects patients and their families. It is the second most common neurodegenerative disease globally.[16] In Brazil, the absence of mandatory PD reporting complicates accurate prevalence estimates.[17] [18]
Age is a key factor in PD incidence, which increases with advancing age and typically affects individuals over 60.[19] In the current study, the mean age at the index date was of 65.4 ± 13.6 years, which is consistent with previous findings. A slight male predominance (53.0%) was observed, which is also supported by the literature.[19]
Nearly half of the patients in the present study resided in the Southeast region of Brazil (48.8%), which may reflect more than just population distribution. This concentration likely also points to regional disparities in healthcare access, diagnostic infrastructure, and data reporting practices. The Southeast region, which includes major urban centers such as São Paulo and Rio de Janeiro, benefits from a higher density of specialized healthcare services and neurologists, as well as more robust health information systems. In contrast, the North and Midwest regions often face challenges such as limited availability of specialists, geographic barriers, and under-resourced healthcare facilities, which may contribute to underdiagnosis and underreporting of PD cases. These disparities have been well-documented in Brazilian health literature and underscore the urgent need for more equitable distribution of neurological care and diagnostic resources across the country.[20] [21] [22]
More than half of the patients (55.5%) experienced multiple hospitalizations, with a mean of 5.1 ± 11.3 PD-related admissions. This notably high rate likely reflects not only the clinical complexity and progressive nature of PD but also systemic challenges within the healthcare system. Factors such as delayed access to outpatient care, lack of integrated care pathways, and regional disparities in service availability may contribute to avoidable hospital admissions and prolonged disease management. The mean hospital stay was of 12 ± 59 days, which further underscores the burden PD places on the public healthcare system.[23] The most frequent inpatient procedures were related to the medical management of PD symptoms, pharmacologic adjustments, and long-term neurological care, consistent with the disease's multifaceted progression. Hospitalizations are often needed due to acute complications such as infections, falls, and cognitive decline, which are common in advanced stages of PD.[24]
In the outpatient setting, physical therapy was the most frequently recorded intervention, particularly for patients with progressive motor symptoms. This is consistent with clinical guidelines recommending regular physical therapy to improve motor function and reduce disability in PD.[25] [26] Furthermore, the high demand for physical therapy in the treatment of PD patients, highlights the critical role of rehabilitation services in the management of this neurodegenerative condition.[27]
A marked reduction in both inpatient (−30.1%) and outpatient (−25.8%) procedures was observed in 2020, likely due to the coronavirus disease 2019 (COVID-19) pandemic. This decline reflects the widespread disruption of healthcare services globally, driven by lockdown measures, reallocation of healthcare resources, and patient hesitancy to seek in-person care. In Brazil, these effects were particularly pronounced in the public health system, where elective procedures and routine follow-ups were postponed or canceled to prioritize COVID-19 response efforts. For individuals with PD such disruptions may have led to delays in rehabilitation, interruptions in medication management, and worsening of motor and non-motor symptoms. These consequences are especially concerning given the progressive nature of PD and the importance of continuous, multidisciplinary care in maintaining functional independence and quality of life.[28] [29] [30]
Regarding pharmacological treatment, the current study analyzed only high-cost medications captured through APAC claims, which excludes drugs dispensed via the Basic Component of Pharmaceutical Assistance—most notably, levodopa. As levodopa is the cornerstone of PD treatment,[31] its absence from the dataset resulted in underreporting of its use and an overrepresentation of other therapies such as pramipexole, amantadine, and entacapone. These findings reflect prescribing patterns within the APAC system rather than the full spectrum of PD treatment in the public healthcare system.
Among the patients included in the study, most initiated therapy with a single high-cost drug. While this is referred to as “monotherapy” in the context of APAC data, it does not account for concurrent use of levodopa or other medications not captured in the dataset. Many patients with PD may remain on levodopa monotherapy for extended periods before requiring adjunctive therapy,[32] but this treatment trajectory could not be assessed in our analysis due to data limitations.
The progressive use of multiple high-cost medications over time likely reflects the natural course of PD and the increasing complexity required to manage its symptoms effectively.[33] However, this pattern should be interpreted cautiously, as it does not capture the full therapeutic landscape. Although specific procedural data on deep brain stimulation (DBS) were not available in this dataset, DBS is a key therapeutic option for patients with advanced PD who experience motor complications unresponsive to pharmacological treatment.[34] The significance of DBS in this context underscores the critical need to ensure equitable access to advanced interventions within the public healthcare system. Nevertheless, several barriers may hinder access to DBS, including the limited number of specialized centers, intricate evaluation protocols, high procedural costs, and geographic challenges—particularly for patients with severe mobility impairments.[35] [36]
The present study should be interpreted considering several limitations. As with most retrospective analyses, the data may be incomplete. Parkinson's disease cases were identified solely through ICD-10 code G20, given the non-mandatory reporting of PD in Brazil, which limits the ability to estimate prevalence accurately. To improve diagnostic specificity, only patients with at least two core procedures were included; however, this may have excluded individuals with recent diagnoses or limited healthcare utilization, potentially underrepresenting early-stage PD.
The analysis included only data from the public healthcare system, which may not capture the full range of healthcare resource utilization in Brazil. As a result, the findings are likely more representative of patients with severe disease who require inpatient or outpatient care. Furthermore, the database does not provide information on reasons for loss to follow-up, such as death or treatment discontinuation, nor does it include clinical variables like disease duration, severity, or Unified Parkinson's Disease Rating Scale (UPDRS) scores. This lack of clinical detail limits our ability to stratify patients by disease stage or monitor progression over time.
While dispensing records are available, they do not confirm adherence, though regular intervals of medication dispensation may serve as a proxy for continued use. Variability in drug availability due to supply chain issues, policy changes, and regional differences, as well as potential out-of-pocket purchases, further limit the completeness of medication data.
In addition, advanced therapies such as DBS may be underrepresented in the dataset, as these treatments are less frequently recorded in administrative claims or may be provided through alternative funding mechanisms not captured in the database.
In summary, the current study enhances the understanding of PD care in the public health system in Brazil, emphasizing the importance of effective and accessible management strategies to address the significant burden of the disease. Future research should concentrate on early interventions and continuous monitoring to reduce the frequency of hospitalizations and associated costs, as well as exploring the impact of regional and socioeconomic factors on the prevalence and treatment of the disease. Policymakers should prioritize expanding access to physiotherapy, ensuring equitable medication distribution, and supporting advanced interventions to improve outcomes for individuals living with PD.
Conflict of Interest
Alexandre B Chehin, Luciana Rahal Abrahão, and Marcos Augusto Mira Fuga are employees of AbbVie. Ana Beatriz Machado de Almeida was employed by IQVIA Solutions Brazil during the execution of this project. Angelica Carreira dos Santos is currently employed by IQVIA Solutions Brazil. Jacy Bezerra Parmera is an employee of Hospital das Clínicas and Hospital Israelita Albert Einstein.
Authors' Contributions
Conceptualizável: ABC, LRA, ABMA, ACS; investigation; ABC, LRA, ABMA, ACS; Methodology: ABC, LRA, ABMA,ACS; Project administration: ABC, LRA, ABMA, ACS; Resources: ABC, LRA, ABMA, ACS; Supervision: ABC, LRA, ABMA, ACS; Validation: ABC, LRA, ABMA, ACS; Writing - original draft: ABC, LRA, MAMF, ABMA, ACS, JBP;Writing - review & editing: ABC, LRA, MAMF, ABMA, ACS, JBP.
Data Availability Statement
The datasets used in this study are publicly available from the Computer ScienceDepartment of the Brazilian Unified Health System (DATASUS [Departamento de Informática do Suistema Único de Saúde]) database, maintained by Brazil's Ministry of Health. The data can be accessed through the official DATASUS website or file transfer protocol (FTP) server. For more information or to request access, please visit the DATASUS website or contact their support team.
Editor-in-Chief: Hélio A. G. Teive. (ORCID: 0000-0003-2305-1073).
Associate Editor: José Luiz Pedroso. (ORCID: 0000-0002-1672-8894).
-
References
- 1 Poewe W, Seppi K, Tanner CM. et al. Parkinson disease. Nat Rev Dis Primers 2017; 3: 17013
- 2 DeMaagd G, Philip A. Parkinson's Disease and Its Management: Part 1: Disease Entity, Risk Factors, Pathophysiology, Clinical Presentation, and Diagnosis. P&T 2015; 40 (08) 504-532
- 3 GBD 2016 Parkinson's Disease Collaborators. Global, regional, and national burden of Parkinson's disease, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 2018; 17 (11) 939-953
- 4 Halli-Tierney AD, Luker J, Carroll DG. Parkinson Disease. Am Fam Physician 2020; 102 (11) 679-691
- 5 Brasil. Ministério da Saúde. Comissão Nacional de Incorporação de Tecnologias no Sistema Único de Saúde (CONITEC). Protocolo Clínico e Diretrizes Terapêuticas Doença de Parkinson. Relatório de Recomendação 291, Brasília, Ministério da Saúde; 2017 . Available from: https://www.gov.br/conitec/pt-br/midias/protocolos/relatorio_pcdt_doenca_de_parkinson_final_291_2017.pdf
- 6 Varanese S, Birnbaum Z, Rossi R, Di Rocco A. Treatment of advanced Parkinson's disease. Parkinsons Dis 2011; 2010: 480260
- 7 García-Ruiz PJ, Luquin MR. [Limits of conventional oral and transdermal medication in Parkinson's disease]. Rev Neurol 2012; 55 (Suppl. 01) S3-S6
- 8 Weintraub D, Comella CL, Horn S. Parkinson's disease–Part 3: Neuropsychiatric symptoms. Am J Manag Care 2008; 14 (2, Suppl) S59-S69
- 9 Coelho M, Ferreira JJ. Late-stage Parkinson disease. Nat Rev Neurol 2012; 8 (08) 435-442
- 10 Marsili L, Rizzo G, Colosimo C. Diagnostic Criteria for Parkinson's Disease: From James Parkinson to the Concept of Prodromal Disease. Front Neurol 2018; 9: 156
- 11 Suwijn SR, van Boheemen CJ, Haan RJd, Tissingh G, Booij J, Bie RMd. The diagnostic accuracy of dopamine transporter SPECT imaging to detect nigrostriatal cell loss in patients with Parkinson's disease or clinically uncertain parkinsonism: a systematic review. EJNMMI Res 2015; 5: 12
- 12 Brücke T, Brücke C. Dopamine transporter (DAT) imaging in Parkinson's disease and related disorders. J Neural Transm (Vienna) 2022; 129 (5-6): 581-594
- 13 Atkinson-Clement C, Pinto S, Eusebio A, Coulon O. Diffusion tensor imaging in Parkinson's disease: Review and meta-analysis. Neuroimage Clin 2017; 16: 98-110
- 14 Aye YM, Liew S, Neo SX. et al. Patient-Centric Care for Parkinson's Disease: From Hospital to the Community. Front Neurol 2020; 11: 502
- 15 Lee T, Yankee E. A review on Parkinson's disease treatment. Neuroimmunol Neuroinflamm 2021; 8: 222
- 16 Deliz JR, Tanner CM, Gonzalez-Latapi P. Epidemiology of Parkinson's Disease: An Update. Curr Neurol Neurosci Rep 2024; 24 (06) 163-179
- 17 Santos GF, Silva GdQNS, Moreira DR. et al. Parkinson's Disease: Epidemiological pattern of hospital admission. Res, Soc Dev 2022; 11: 1
- 18 Vasconcellos PRO, Rizzotto MLF, Taglietti M. Hospitalization and mortality from Parkinson's Disease in Brazil from 2008 to 2020. Saúde Debate 2023; 47 (137) 196-206
- 19 Santos-Lobato BL, Schumacher-Schuh A, Mata IF. et al. Genetics of Parkinson's disease in Brazil: a systematic review of monogenic forms. Arq Neuro-Psiquiatr 2021; 79 (07) 612-623
- 20 Travassos C, Oliveira EXG, Viacava F. Desigualdades geográficas e sociais no acesso aos serviços de saúde no Brasil: 1998 e 2003. Cien Saude Colet 2006; 11 (04) 975-986
- 21 Conselho Federal de Medicina (CFM). Demografia médica no Brasil 2020. Brasília: CFM; 2020
- 22 Barbosa ACQ, Fonseca EBP, Souza LEPF. Access to health services in Brazil: inequalities and associated factors. Rev Saude Publica 2021; 55: 5
- 23 Cunha M, Almeida H, Guimarães I, Ferreira LN. Economic burden of Parkinson's disease and research trends: a bibliometric analysis. Journal of Public Health 2024; •••
- 24 Demleitner AF, Wolff AW, Erber J. et al. Best practice approaches to outpatient management of people living with Parkinson's disease during the COVID-19 pandemic. J Neural Transm (Vienna) 2022; 129 (11) 1377-1385
- 25 Höglinger G, Trenkwalder C, Trenkwalder C. German Parkinson's Guidelines Committee. Diagnosis and treatment of Parkinson's disease (guideline of the German Society for Neurology). Neurol Res Pract 2024; 6 (01) 30
- 26 Osborne JA, Botkin R, Colon-Semenza C. et al. Physical Therapist Management of Parkinson Disease: A Clinical Practice Guideline From the American Physical Therapy Association. Phys Ther 2022; 102 (04) pzab302
- 27 Mitchell CL, Kurouski D. Novel strategies in Parkinson's disease treatment: a review. Front Mol Neurosci 2024; 17: 1431079
- 28 Czeisler MÉ, Marynak K, Clarke KEN. et al. Delay or Avoidance of Medical Care Because of COVID-19–Related Concerns—United States, June 2020. MMWR Morb Mortal Wkly Rep 2020; 69 (36) 1250-1257
- 29 Helmich RC, Bloem BR. The Impact of the COVID-19 Pandemic on Parkinson's Disease: Hidden Sorrows and Emerging Opportunities. J Parkinsons Dis 2020; 10 (02) 351-354
- 30 Silva AG, Miranda DM, Rocha NP. The impact of the COVID-19 pandemic on people with Parkinson's disease: a Brazilian perspective. Arq Neuro-Psiquiatr 2021; 79 (05) 454-455
- 31 Saba RA, Maia DP, Cardoso FEC. et al. Guidelines for Parkinson's disease treatment: consensus from the Movement Disorders Scientific Department of the Brazilian Academy of Neurology - motor symptoms. Arq Neuro-Psiquiatr 2022; 80 (03) 316-329
- 32 Olanow W, Schapira AH, Rascol O. Continuous dopamine-receptor stimulation in early Parkinson's disease. Trends Neurosci 2000; 23 (10, Suppl) S117-S126
- 33 Prasad EM, Hung SY. Current Therapies in Clinical Trials of Parkinson's Disease: A 2021 Update. Pharmaceuticals (Basel) 2021; 14 (08) 717
- 34 Groiss SJ, Wojtecki L, Südmeyer M, Schnitzler A. Deep brain stimulation in Parkinson's disease. Ther Adv Neurol Disord 2009; 2 (06) 20-28
- 35 Bronstein JM, Tagliati M, Alterman RL. et al. Deep brain stimulation for Parkinson disease: an expert consensus and review of key issues. Arch Neurol 2011; 68 (02) 165
- 36 Armstrong MJ, Okun MS. Diagnosis and Treatment of Parkinson Disease: A Review. JAMA 2020; 323 (06) 548-560
Address for correspondence
Publication History
Received: 06 February 2025
Accepted: 08 October 2025
Article published online:
25 January 2026
© 2026. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution 4.0 International License, permitting copying and reproduction so long as the original work is given appropriate credit (https://creativecommons.org/licenses/by/4.0/)
Thieme Revinter Publicações Ltda.
Rua Rego Freitas, 175, loja 1, República, São Paulo, SP, CEP 01220-010, Brazil
Alexandre Battaglini Chehin, Luciana Rahal Abrahão, Marcos Augusto Mira Fuga, Ana Beatriz Machado de Almeida, Angelica Carreira dos Santos, Jacy Bezerra Parmera. Demographics, treatment patterns, and healthcare resource utilization in Parkinson's disease: a real-world data study using a claims database. Arq Neuropsiquiatr 2026; 84: s00451814375.
DOI: 10.1055/s-0045-1814375
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References
- 1 Poewe W, Seppi K, Tanner CM. et al. Parkinson disease. Nat Rev Dis Primers 2017; 3: 17013
- 2 DeMaagd G, Philip A. Parkinson's Disease and Its Management: Part 1: Disease Entity, Risk Factors, Pathophysiology, Clinical Presentation, and Diagnosis. P&T 2015; 40 (08) 504-532
- 3 GBD 2016 Parkinson's Disease Collaborators. Global, regional, and national burden of Parkinson's disease, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 2018; 17 (11) 939-953
- 4 Halli-Tierney AD, Luker J, Carroll DG. Parkinson Disease. Am Fam Physician 2020; 102 (11) 679-691
- 5 Brasil. Ministério da Saúde. Comissão Nacional de Incorporação de Tecnologias no Sistema Único de Saúde (CONITEC). Protocolo Clínico e Diretrizes Terapêuticas Doença de Parkinson. Relatório de Recomendação 291, Brasília, Ministério da Saúde; 2017 . Available from: https://www.gov.br/conitec/pt-br/midias/protocolos/relatorio_pcdt_doenca_de_parkinson_final_291_2017.pdf
- 6 Varanese S, Birnbaum Z, Rossi R, Di Rocco A. Treatment of advanced Parkinson's disease. Parkinsons Dis 2011; 2010: 480260
- 7 García-Ruiz PJ, Luquin MR. [Limits of conventional oral and transdermal medication in Parkinson's disease]. Rev Neurol 2012; 55 (Suppl. 01) S3-S6
- 8 Weintraub D, Comella CL, Horn S. Parkinson's disease–Part 3: Neuropsychiatric symptoms. Am J Manag Care 2008; 14 (2, Suppl) S59-S69
- 9 Coelho M, Ferreira JJ. Late-stage Parkinson disease. Nat Rev Neurol 2012; 8 (08) 435-442
- 10 Marsili L, Rizzo G, Colosimo C. Diagnostic Criteria for Parkinson's Disease: From James Parkinson to the Concept of Prodromal Disease. Front Neurol 2018; 9: 156
- 11 Suwijn SR, van Boheemen CJ, Haan RJd, Tissingh G, Booij J, Bie RMd. The diagnostic accuracy of dopamine transporter SPECT imaging to detect nigrostriatal cell loss in patients with Parkinson's disease or clinically uncertain parkinsonism: a systematic review. EJNMMI Res 2015; 5: 12
- 12 Brücke T, Brücke C. Dopamine transporter (DAT) imaging in Parkinson's disease and related disorders. J Neural Transm (Vienna) 2022; 129 (5-6): 581-594
- 13 Atkinson-Clement C, Pinto S, Eusebio A, Coulon O. Diffusion tensor imaging in Parkinson's disease: Review and meta-analysis. Neuroimage Clin 2017; 16: 98-110
- 14 Aye YM, Liew S, Neo SX. et al. Patient-Centric Care for Parkinson's Disease: From Hospital to the Community. Front Neurol 2020; 11: 502
- 15 Lee T, Yankee E. A review on Parkinson's disease treatment. Neuroimmunol Neuroinflamm 2021; 8: 222
- 16 Deliz JR, Tanner CM, Gonzalez-Latapi P. Epidemiology of Parkinson's Disease: An Update. Curr Neurol Neurosci Rep 2024; 24 (06) 163-179
- 17 Santos GF, Silva GdQNS, Moreira DR. et al. Parkinson's Disease: Epidemiological pattern of hospital admission. Res, Soc Dev 2022; 11: 1
- 18 Vasconcellos PRO, Rizzotto MLF, Taglietti M. Hospitalization and mortality from Parkinson's Disease in Brazil from 2008 to 2020. Saúde Debate 2023; 47 (137) 196-206
- 19 Santos-Lobato BL, Schumacher-Schuh A, Mata IF. et al. Genetics of Parkinson's disease in Brazil: a systematic review of monogenic forms. Arq Neuro-Psiquiatr 2021; 79 (07) 612-623
- 20 Travassos C, Oliveira EXG, Viacava F. Desigualdades geográficas e sociais no acesso aos serviços de saúde no Brasil: 1998 e 2003. Cien Saude Colet 2006; 11 (04) 975-986
- 21 Conselho Federal de Medicina (CFM). Demografia médica no Brasil 2020. Brasília: CFM; 2020
- 22 Barbosa ACQ, Fonseca EBP, Souza LEPF. Access to health services in Brazil: inequalities and associated factors. Rev Saude Publica 2021; 55: 5
- 23 Cunha M, Almeida H, Guimarães I, Ferreira LN. Economic burden of Parkinson's disease and research trends: a bibliometric analysis. Journal of Public Health 2024; •••
- 24 Demleitner AF, Wolff AW, Erber J. et al. Best practice approaches to outpatient management of people living with Parkinson's disease during the COVID-19 pandemic. J Neural Transm (Vienna) 2022; 129 (11) 1377-1385
- 25 Höglinger G, Trenkwalder C, Trenkwalder C. German Parkinson's Guidelines Committee. Diagnosis and treatment of Parkinson's disease (guideline of the German Society for Neurology). Neurol Res Pract 2024; 6 (01) 30
- 26 Osborne JA, Botkin R, Colon-Semenza C. et al. Physical Therapist Management of Parkinson Disease: A Clinical Practice Guideline From the American Physical Therapy Association. Phys Ther 2022; 102 (04) pzab302
- 27 Mitchell CL, Kurouski D. Novel strategies in Parkinson's disease treatment: a review. Front Mol Neurosci 2024; 17: 1431079
- 28 Czeisler MÉ, Marynak K, Clarke KEN. et al. Delay or Avoidance of Medical Care Because of COVID-19–Related Concerns—United States, June 2020. MMWR Morb Mortal Wkly Rep 2020; 69 (36) 1250-1257
- 29 Helmich RC, Bloem BR. The Impact of the COVID-19 Pandemic on Parkinson's Disease: Hidden Sorrows and Emerging Opportunities. J Parkinsons Dis 2020; 10 (02) 351-354
- 30 Silva AG, Miranda DM, Rocha NP. The impact of the COVID-19 pandemic on people with Parkinson's disease: a Brazilian perspective. Arq Neuro-Psiquiatr 2021; 79 (05) 454-455
- 31 Saba RA, Maia DP, Cardoso FEC. et al. Guidelines for Parkinson's disease treatment: consensus from the Movement Disorders Scientific Department of the Brazilian Academy of Neurology - motor symptoms. Arq Neuro-Psiquiatr 2022; 80 (03) 316-329
- 32 Olanow W, Schapira AH, Rascol O. Continuous dopamine-receptor stimulation in early Parkinson's disease. Trends Neurosci 2000; 23 (10, Suppl) S117-S126
- 33 Prasad EM, Hung SY. Current Therapies in Clinical Trials of Parkinson's Disease: A 2021 Update. Pharmaceuticals (Basel) 2021; 14 (08) 717
- 34 Groiss SJ, Wojtecki L, Südmeyer M, Schnitzler A. Deep brain stimulation in Parkinson's disease. Ther Adv Neurol Disord 2009; 2 (06) 20-28
- 35 Bronstein JM, Tagliati M, Alterman RL. et al. Deep brain stimulation for Parkinson disease: an expert consensus and review of key issues. Arch Neurol 2011; 68 (02) 165
- 36 Armstrong MJ, Okun MS. Diagnosis and Treatment of Parkinson Disease: A Review. JAMA 2020; 323 (06) 548-560




