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. 2024 Jun 4;14(4):865–872. doi: 10.3233/JPD-230305

In Their Own Words: Fears Expressed by People with Parkinson’s Disease in an Online Symptom Database

Sneha Mantri a,*, Jennifer L Purks b, Daniel Kinel c, Lakshmi Arbatti d, Abhishek Hosamath d, Allison Allen a, Amy Amara e, Karen Anderson f, Lana M Chahine g, Shirley Eberly h, Soania Mathur i, David Standaert j, David Oakes h, Daniel Weintraub k, Ira Shoulson b,d, Connie Marras l
PMCID: PMC11191490  PMID: 38669556

Abstract

Parkinson’s disease (PD) carries substantial psychosocial burden. Using a database of responses by people with PD reporting up to five “most bothersome problems,” we identified 225 fear-based verbatims, which were organized using the framework method into 26 categories. Commonly-reported fears included uncertainty of progression (n = 60, 26.7%), fear of future cognitive impairment (n = 24, 10.7%) and fear of becoming a burden on others (n = 23, 10.2%). Fears in PD are wide-ranging and can constitute the most bothersome aspect of the condition. These data can be used to design interventions to lessen the psychosocial burden of PD.

Keywords: Parkinson’s disease, quality of life, qualitative

INTRODUCTION

Receiving a diagnosis of Parkinson’s disease (PD) has a profound impact on an individual’s mental health. In addition to well-described associations with anxiety and depression, a life-altering and incurable degenerative condition with uncertain prognosis may affect patients’ sense of self, alter their hopes for their future, and engender fear. These concerns have been previously described in other serious illnesses [1], but are infrequently elucidated in existing patient-reported outcome measures for people with PD (PwP). A better understanding of patient fears may help clinicians support PwP and their families through anticipatory guidance concerning specific symptoms, emotional support for existential concerns, and referral to mental health services if appropriate. It may also provide insight into the need to incorporate the impact of fears into assessment of quality of life and patient-reported outcome measures for PD research.

In this study, we assessed the range of fears reported by respondents to the Parkinson Disease Patient Report of Problems (PD-PROP), a series of questions asking PwP to submit up to 5 “most bothersome problems” and describe the impact on those problems on daily living. Participants are invited to complete the PD-PROP on a quarterly basis, forming a longitudinal database. The unique structure of the PD-PROP, with its longitudinal verbatim data capture, enables a deeper understanding of these critically important issues for people with PD [2]. By quantifying the domains and subthemes of fear as a “most bothersome problem,” this study provides preliminary data for the relative prevalence of different fears experienced by PwP.

METHODS

PD-PROP

The nature of PD-PROP has been previously described [2, 3]. Briefly, this is a series of questions incorporated into Fox Insight (FI, https://foxinsight.michaeljfox.org), an online, observational, longitudinal survey study sponsored by the Michael J. Fox Foundation for Parkinson’s Research (MJFF) [4]. The Fox Insight study and the PD-PROP module have received approval from the New England/WCG Institutional Review Board, and informed consent was obtained online from each participant. Participants are asked two questions: (1) What is the most bothersome problem for you due to your Parkinson’s disease? (2) In what way does this problem bother you by affecting your everyday functioning or ability to accomplish what needs to be done? Participant responses, termed “verbatims,” are entered online. Participants are asked to report up to five bothersome problems and are invited to respond to the PD-PROP on a quarterly basis.

Data extraction, cleaning, and analysis

Data used in the preparation of this article were obtained from the FI database (https://foxinsight-info.michaeljfox.org/insight/explore/insight.jsp) in February 2020. For up-to-date information on the study, visit https://foxinsight-info.michaeljfox.org/insight/explore/insight.jsp. For the fear analysis, the PD-PROP database of over 25,000 responses was queried for verbatims matching the strings “fear of ___________” and “afraid of ___________,” as well as synonyms defined through a natural language processing (NLP) algorithm. The details of the NLP algorithm have been previously described [2] and are derived from the Unified Medical Language System ontologies [5] as well as NLP techniques such as word vectorization and sentence embedding [6, 7]. For this project, synonyms included “worry about,” “terrified of,” “anxious,” “nervous about”, “phobia”, and “dismay.” Two preliminary samples of 100 and 200 verbatims matching these words and strings were extracted. The analysis team (authors SM, JP, AA, DK, and CM) included three neurologists, one social worker, and one PwP. All members of the analysis team have professional and/or personal experience of PD, and the analysis team lead (author SM) has additional training in narrative medicine. Authors SM and CM reviewed the first 100 samples for clarity and requested the additional 200 samples to confirm that data saturation was achieved. For the purposes of this analysis, both samples were combined into a single primary group of 300. Of these, there were 9 word-for-word duplicates and one verbatim which referenced fears expressed by others (i.e., not the PwP). A further 65 verbatims did not have demographic information available. After removing these, the remaining 225 verbatims from 221 unique individuals were reviewed using the framework method for qualitative research [8]. This method is in contrast to other PD-PROP work which used a combination of human curation and machine learning to classify verbatims [2, 9]. For this study, each member of the analysis team independently reviewed the extracted verbatims and determined whether or not the verbatim expressed a fear, defined by the analysis team as “a distressing emotional state caused or triggered by an actual or perceived threat to self.” If so, they suggested categories, which were refined through iterative discussion to develop a codebook of domains and subthemes. Disagreement was resolved by consensus. Ultimately, the proportion of verbatims falling within each domain and subtheme was quantified.

RESULTS

Demographic information about the participants is shown in Table 1. Most reported age of onset after 50 (n = 213, 96.4%) and had been living with PD for 5 years or less (n = 143, 64.7%). Twenty-six categories of fears were identified, arranged into seven domains (Table 2 and Supplementary Table 1): Relationships/Social, Dependence, Prognosis/Progression, Employment, Financial, Personal Safety, Specific Symptoms. The most commonly reported fear category was uncertainty around disease progression (n = 60/225, 26.7%). For instance, one participant wrote, “This is actually the worst problem with my PD = fear of progression and the future.” Uncertainty regarding day-to-day variability (e.g., “good days vs bad days”) or fear about death/dying were somewhat less common, reported by only 8 (3.5%) and 10 (4.4%) verbatims respectively. Twenty-three verbatims (10.2%) expressed fear of becoming a burden on family members, and 23 (10.2%) reported worries of becoming socially isolated as a result of their PD diagnosis. For instance, one participant expressed concern about the potential for “loss of spouse relationship. It dwells in a corner of my mind most of the time.” Another wrote “I want my life back ...  . Now I’m a prisoner having meds delivered to me.”

Table 1.

Demographic Characteristics of Respondents (N = 221)

N (%)
Sex:
  Male 93 (42.1%)
  Female 128 (57.9%)
Age of onset
  <50 8 (3.6%)
  50+ 213 (96.4%)
Years since diagnosis:
  <3 84 (38.0%)
  3–5 59 (26.7%)
  6–10 51 (23.1%)
  11–14 17 (7.7%)
  15+ 10 (4.5%)
Race/ethnicity:
  Black/African American 3 (1.4%)
  Asian 3 (1.4%)
  American Indian/Alaska Native 1 (0.5%)
  Native Hawaiian/Pacific Islander 0
  White/Caucasian 205 (92.8%)
Not Reported 9 (4.1%)

Table 2.

Categories of Fears expressed in PD-PROP (N = 225). Quotes are copied verbatim from the participant’s response, in the format Bothersome Problem [Impact on Function]

Domain Subthemes Example Quotes % (n)
Relationships/Social Impact on family/being a burden “My daughters worry about my health causing me to worry about them”“My fear of becoming a burden on my family. [We have a “high performing” family and I don’t want to be a drag on their potential]” 10.2% (23)
Others’ perceptions “tremor. [difficulty typing, using keyboard mouse, afraid what people think]”“the hardest part is that I’m still hiding this disease from everybody. But if I tell people I have Parkinson’s disease they’ll just stare at me and I don’t know if I’ll get the right support in at least in my workplace. It bothers me the most that this movement disorder makes people stare and not understand how difficult.” 10.2% (23)
Social isolation “Afraid to leave your home. [Always in isolation]”“Negative effect on relationships leading to isolation and depression.. [I haven’t changed, but people, understandably, treat me differently. I am perceived as a liability now, not an asset.]” 10.2% (23)
Dependence Disability “I will end up immobile and require professional assistance such as living in a care facility”“Fear of husbands health failing or of him dying and knowing that I can’t live alone, and knowing I am no longer independent.. [Causes depression, and then I do not function well, knowing that if I fall I cannot help myself up and neither can my husband. Fear makes me want to do nothing and it is a fight to keep going.]” 7.1% (16)
Prognosis/progression Uncertainty about future “This is actually the worst problem with my PD = fear of progression and the future”“PD consumes my thoughts. [I changed my outlook on life. Worry about future]” 26.7% (60)
Fears of death/dying “Thinking about dying when or if it will happen soon or how long do I really have left”“Possibility of short life span. [Scares me.]” 4.4% (10)
Day-to-day variability “It is difficult to know how far you can travel not knowing if it will be a good day”“I don’t have the stamina that I once had, and I don’t linked to age. I have to leave dinners and special sports occasions because I might crash.” 4.8% (11)
Employment Work-related “My work and office are very accommodating but I am not sure how long I can keep this up. I fear I am a liability so I wont let them file accidents reports when I fall.”“I lost my coaching job. [My medication at the time caused liability issues for my work.]” 4.4% (10)
Personal Safety Safety “Can’t drive fast out of fear of hitting with road divider or surrounding vehicles or persons, can’t take sharp turning, always feel afraid of loosing control in high speed”“R hand tremor. [Using kitchen knife is scary!]” 5.8% (13)
Specific symptoms Cognitive impairment “I fear the future and am terrified of getting dementia”“Fear of dementia and loss of spouse relationship. [It dwells in a corner of my mind most of the time, and makes me turn to God for comfort.]” 10.6% (24)
Falling “Frightful of falling while dressing and walking around clutter”“Apprehension when moving cautiously about –re: possibility of stumbling or tripping and falling. [When waling down stairs]” 10.6% (24)
Cramps/spasms “I’m always afraid of getting cramps when I stretch.”“Spasms, facial. [Afraid the spasms will occur in a meeting]” 4.8% (11)
Unclassifiable motor symptoms “Trepidation about doing anything involving movement”“physical discomfort, worry” 12.4% (28)
Bladder symptoms “Bladder control. [Nervous of leakage]”“incontinence. [afraid of messing self, pullups are expensive]” 4.8% (11)
Constipation “Constipation, lack of regular bowel movements. [Anxiety about being in wrong place when bowel movements might occur]”“Constipation ibs. [Constant worry about using bathroom]” 4.8% (11)
Sleep-related “Loss of sleep time, anxiety about being able to fall asleep”“I get sleepy middle of the day. [I’m afraid someone will catch me zoning out..]” 4.4% (10)

With regard to specific symptoms, fear of cognitive impairment (n = 24, 10.7%) and fear of falling (n = 16, 7.1%) were the most commonly reported. Other reported motor fears included fear of episodic symptom emergence; tremor (n = 5, 2.2%) and fear of cramps/spasms (n = 10, 4.4%). Non-motor fears included fear of poor nocturnal sleep quality or overwhelming daytime sleepiness (n = 8, 3.5%) and fear of GI distress (n = 9, 4%) such as constipation or nausea.

DISCUSSION

In this online free-text database, we identified 26 categories of reported fears and worries as a “most bothersome problem” resulting from PD. Even though the participants reported a short duration of PD on average, many fears were expressed. This provides an important lesson for clinicians, who may focus on symptom management but fail to recognize that fear itself may be the most troublesome aspect of PD. Direct inquiry on this topic may open an important therapeutic avenue for patients.

The most commonly reported fears involved uncertainty around disease progression, fear of cognitive impairment, and concerns about becoming a burden on others. These findings are consistent with other data on quality of life and psychosocial burden in PD [10, 11] and in other chronic diseases [12, 13]. For instance, fear of progression was found to be prevalent in hospitalized people with PD [11] and appears to be associated with lower self-efficacy for managing chronic illness. Similarly, in a focus group study of people with primary brain tumors [14], themes included relational concerns, disease-specific symptoms, and existential concerns about the future. Interviews with people with dementia and their caregivers [15] identified discussions of the future and loss of independence as major themes. Acknowledging and addressing fear and uncertainty is a core tenet of neuro-palliative care [16, 17], and palliative interventions that allow patients to share their own stories with others [18] may reduce fears and increase hope, as noted by a few respondents in our study. Our findings on the range of fears experienced by people with PD can guide health care providers in inquiring about fears, connecting with patients and providing support to best care for patients with PD.

To our knowledge, this is the first large unstructured response study of fears in PD; the identified domains ranged from specific symptoms to existential concerns of the future. Major strengths of the PD-PROP database used in this study include the large nature of the PD-PROP and the open-ended question format, which allows participants to self-prioritize their “most bothersome problems.” This is in contrast to other qualitative studies of fears or anxieties, which traditionally rely on an face-to-face interactions to prompt participants and may inadvertently introduce a degree of bias into patient responses, wherein participants may respond in ways they feel socially appropriate [19]; by contrast, the online self-directed nature of PD-PROP enables participants to express themselves unmediated by the presence of others. In other words, the design of PD-PROP centers patient perspective, consistent with the growing recognition of the importance of patient engagement in research. Of note, the framework methodology used in this analysis differs from the machine-learning approach employed in other analyses of PD-PROP, demonstrating the value of triangulating qualitative and quantitative methods in understanding complex conditions like PD. Moreover, the fears identified in this sample can be validated against the wider PD-PROP dataset or other large online datasets such as internet forums or social media [20–22].

Nevertheless, some important caveats should be noted. Like other longitudinal cohorts of PwP, the FI cohort from which PD-PROP derives is predominantly English-speaking, non-Hispanic white, and well-educated [23]; targeted recruitment strategies have been implemented to increase enrollment of underrepresented populations [24], though these were not yet in place when the data was extracted for this analysis. Although data on fears in PD are limited, other cohorts of older adults reveal differing impact of race/ethnicity on fear of falling, with some data suggesting Black participants have a greater fear of falling [25] and other data suggesting that fear of falling is reduced in Black participants [26]. Additionally, the nature of the data extraction does not allow us to estimate the overall frequency of fears as most bothersome problems in PD, nor the correlation between fears and demographic or clinical characteristics. For instance, self-perception and existential anxieties may be impacted by age of onset [27], gender identity [28, 29], or disease duration [30]. Further, underlying mood disorder (e.g., depression or generalized anxiety) or medication use may also influence patient perceptions and fears. Additionally, fear types may change over time; the sample included in this project only included four instances where a single individual provided multiple fear-based verbatims. We did not perform a longitudinal analysis to identify how fear types and their priority as bothersome problems in PD may change over time. Future research, leveraging the larger FI study or other cohorts, may be able to better understand the longitudinal nature of fear in PD, as well as the interplay between patient self-report and these clinical/demographic characteristics. For instance, a natural language processing algorithm could extract fear-based topics more systematically from a large data source, providing a more comprehensive assessment of fear in this patient population.

In conclusion, fears in PD are wide-ranging and both existential and related to specific symptoms. In some patients, fear can itself be the most bothersome aspects of PD. Further analysis is needed to understand the demographic, clinical correlates and further impacts of PD fears. The range of fears quantified in the PD-PROP can be used to design educational materials and interventions to lessen the psychosocial burden of PD.

Supplementary Material

Supplementary Material
jpd-14-jpd230305-s001.pdf (129.2KB, pdf)

ACKNOWLEDGMENTS

We would like to thank the Parkinson’s community for participating in this study to make this research possible. We would also like to thank Clair Bale from Parkinson’s UK for her curation work and valuable insights.

SUPPLEMENTARY MATERIAL

The supplementary material is available in the electronic version of this article: http://dx.doi.org/10.3233/JPD-230305.

FUNDING

The Fox Insight Study (FI) is funded by The Michael J. Fox Foundation for Parkinson’s Research.

CONFLICTS OF INTEREST

Ira Shoulson, Lakshmi Arbatti and Abhishek Hosamath are employees of Grey Matter Technologies, a wholly owned subsidiary of modality.ai.

DATA AVAILABILITY

The data supporting the findings of this study are not publicly available due to privacy restrictions. The curated datasets derived from the verbatim responses are publicly available in FoxDEN at https://foxden.michaeljfox.org upon signing a data use agreement.

REFERENCES

  • [1]. Reford E, Kellner CP (2022) Stroke and COVID-19: The value of narrative medicine. Stroke 53, e104–e107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [2]. Marras C, Arbatti L, Hosamath A, Amara A, Anderson KE, Chahine LM, Eberly S, Kinel D, Mantri S, Mathur S, Oakes D, Purks JL, Standaert DG, Tanner CM, Weintraub D, Shoulson I (2023) What patients say: Large-scale analyses of replies to the Parkinson’s Disease Patient Report of Problems (PD-PROP). . J Parkinsons Dis 13, 757–767. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [3]. Shoulson I, Arbatti L, Hosamath A, Eberly SW, Oakes D (2022) Longitudinal cohort study of verbatim-reported postural instability symptoms as outcomes for online Parkinson’s disease trials. . J Parkinsons Dis 12, 1969. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [4]. Smolensky L, Amondikar N, Crawford K, Neu S, Kopil CM, Daeschler M, Riley L, 23andMe Research Team , Brown E, Toga AW, Tanner C (2020) Fox Insight collects online, longitudinal patient-reported outcomes and genetic data on Parkinson’s disease. . Sci Data 7, 67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [5]. Bodenreider O (2004) The Unified Medical Language System (UMLS): Integrating biomedical terminology. Nucleic Acids Res 32, D267–270. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [6]. Mikolov T, Chen K, Corrado G, Dean J (2013) Efficient estimation of word representations in vector space. arXiv:1301.3781 [cs.CL]
  • [7]. Chen Q, Peng Y, Lu Z (2019) BioSentVec: Creating sentence embeddings for biomedical texts. In 2019 IEEE International Conference on Healthcare Informatics (ICHI), pp. 1-5..
  • [8]. Gale NK, Heath G, Cameron E, Rashid S, Redwood S (2013) Using the framework method for the analysis of qualitative data in multi-disciplinary health research. . BMC Med Res Methodol 13, 117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [9]. Javidnia M, Arbatti L, Hosamath A, Eberly SW, Oakes D, Shoulson I (2021) Predictive value of verbatim Parkinson’s disease patient-reported symptoms of postural instability and falling. . J Parkinsons Dis 11, 1957–1964. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [10]. McDaniels B, Subramanian I, Kurian S, Chitnis S (2023) Early-onset Parkinson’s disease: An assessment of unmet psychosocial needs. . Parkinsonism Relat Disord 110, 105395. [DOI] [PubMed] [Google Scholar]
  • [11]. Folkerts A-K, Haarmann L, Nielsen J, Saliger J, Eschweiler M, Karbe H, Allert N, Vida V, Trenkwalder C, Kruse A, Oelsner H, Ebersbach G, Kalbe E (2022) Fear of progression is determined by anxiety and self-efficacy but not disease-specific parameters in patients with Parkinson’s disease: Preliminary data from a multicenter cross-sectional study. . J Parkinsons Dis 12, 2543–2553. [DOI] [PubMed] [Google Scholar]
  • [12]. Loughan AR, Reid M, Willis KD, Barrett S, Lo K (2023) The emotional journey of neuro-oncology: Primary brain tumor patients share their experience during this life-threatening disease. . Neurooncol Pract 10, 71–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [13]. Butler E, Thomas R, Carolan A, Silber E, Chalder T (2019) “It’s the unknown” –understanding anxiety: From the perspective of people with multiple sclerosis. . Psychol Health 34, 368–383. [DOI] [PubMed] [Google Scholar]
  • [14]. Loughan AR, Reid M, Willis KD, Davies A, Boutté RL, Barrett S, Lo K (2022) The burden of a brain tumor: Guiding patient centric care in neuro-oncology. . J Neurooncol 157, 487–498. [DOI] [PubMed] [Google Scholar]
  • [15]. Nimmons D, Manthorpe J, West E, Rait G, Sampson EL, Iliffe S, Davies N (2023) Views of people living with dementia and their carers on their present and future: A qualitative study. . BMC Palliat Care 22, 38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [16]. Brizzi K, Creutzfeldt CJ (2018) Neuropalliative care: A practical guide for the neurologist. . Semin Neurol 38, 569–575. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [17]. Boersma I, Jones J, Carter J, Bekelman D, Miyasaki J, Kutner J, Kluger B (2016) Parkinson disease patients’ perspectives on palliative care needs. . Neurol Clin Pract 6, 209–219. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [18]. Trahair ED, Mantri S (2023) Examining the role of narrative in palliative care for Parkinson disease: Changing the story. Neurol Clin Pract 13, e200150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [19]. Grimm P (2010) Social desirability bias. In Wiley International Encyclopedia of Marketing, John Wiley & Sons, Ltd.
  • [20]. Damier P, Henderson EJ, Romero-Imbroda J, Galimam L, Kronfeld N, Warnecke T (2022) Impact of off-time on quality of life in Parkinson’s patients and their caregivers: Insights from social media. . Parkinsons Dis 2022, 1800567. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [21]. Farrar M, Lundt L, Franey E, Yonan C (2021) Patient perspective of tardive dyskinesia: Results from a social media listening study. . BMC Psychiatry 21, 94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [22]. Fazekas B, Megaw B, Eade D, Kronfeld N (2021) Insights into the real-life experiences of people living with epilepsy: A qualitative netnographic study. . Epilepsy Behav 116, 107729. [DOI] [PubMed] [Google Scholar]
  • [23]. Chahine LM, Chin I, Caspell-Garcia C, Standaert DG, Brown E, Smolensky L, Arnedo V, Daeschler D, Riley L, Korell M, Dobkin R, Amondikar N, Gradinscak S, Shoulson I, Dean M, Kwok K, Cannon P, Marek K, Kopil C, Tanner CM, Marras C; Fox Insight Study (2020) Comparison of an online-only Parkinson’s disease research cohort to cohorts assessed in person. J Parkinsons Dis 10, 677–691. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [24]. Dobkin RD, Amondikar N, Kopil C, Caspell-Garcia C, Brown E, Chahine LM, Marras C, Dahodwala N, Mantri S, Standaert DG, Dean M, Shoulson I, Marek K, Katz A, Korell M, Riley L, Tanner CM, Fox Insight Study (2020) Innovative recruitment strategies to increase diversity of participation in Parkinson’s disease research: The Fox Insight Cohort Experience. . J Parkinsons Dis 10, 665–675. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [25]. Washington SE, Snyder M, Hu Y-L, Stark SL (2023) Evaluation of race as a predictor of fear of falling in Black older adults. . Clin Gerontol 46, 47–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [26]. Singh T, Bélanger E, Thomas K (2020) Is fear of falling the missing link to explain racial disparities in fall risk? Data from the National Health and Aging Trends Study. . Clin Gerontol 43, 465–470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [27]. Ravenek M, Rudman DL, Jenkins ME, Spaulding S (2017) Understanding uncertainty in young-onset Parkinson disease. . Chronic Illn 13, 288–298. [DOI] [PubMed] [Google Scholar]
  • [28]. Kovács M, Makkos A, Aschermann Z, Janszky J, Komoly S, Weintraut R, Karádi K, Kovács N (2016) Impact of sex on the nonmotor symptoms and the health-related quality of life in Parkinson’s disease. . Parkinsons Dis 2016, 7951840. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [29]. Vlaanderen FP, de Man Y, Krijthe JH, Tanke MAC, Groenewoud AS, Jeurissen PPT, Oertelt-Prigione S, Munneke M, Bloem BR, Meinders MJ (2019) Sex-specific patient journeys in early Parkinson’s disease in the Netherlands. . Front Neurol 10, 794. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • [30]. Benge JF, Kekecs Z, Encarnacion E, Ainslie M, Herff C, Elkins G, Herath P (2016) Duration of disease does not equally influence all aspects of quality of life in Parkinson’s disease. . J Clin Neurosci 28, 102–106. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Material
jpd-14-jpd230305-s001.pdf (129.2KB, pdf)

Data Availability Statement

The data supporting the findings of this study are not publicly available due to privacy restrictions. The curated datasets derived from the verbatim responses are publicly available in FoxDEN at https://foxden.michaeljfox.org upon signing a data use agreement.


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