Abstract
Introduction
People with parkinsonism are a highly heterogeneous group and the disease encompasses a spectrum of motor and non-motor symptoms which variably emerge and manifest across the disease course, fluctuate over time and negatively impact quality of life. While parkinsonism is not directly the result of ageing, it is a condition that mostly affects older people, who may also be living with frailty and multimorbidity. This study aims to describe the broad range of health needs for people with parkinsonism and their carers in relation to their symptomatology, disability, disease stage, comorbidities and sociodemographic characteristics.
Methods and analysis
In this single site cross-sectional study, people with parkinsonism will be sent a study information pack for themselves and their primary informal caregiver, if relevant. Data are collected via questionnaire, with additional support, if required, to maximise participation. A specific strategy has been developed to target and proactively recruit patients lacking capacity to consent, including those in residential care settings, with input from a personal consultee prior to completion of a bespoke questionnaire by a representative. Caregivers are also recruited to look at various health outcomes. Results will be displayed as descriptive statistics and regression models will be used to test simple associations and interactions.
Ethics and dissemination
This protocol was approved by the London—Brighton & Sussex Research Ethics Committee (REC reference 20/LO/0890). The results of this protocol will be disseminated through publication in an international peer-reviewed journal; presentation at academic meetings and conferences; and a lay summary uploaded to the PRIME-Parkinson website.
Trial registration number
ISRCTN11452969; Pre-results.
Keywords: Parkinson-s disease, GERIATRIC MEDICINE, Dementia
Strengths and limitations of this study
This study aims to recruit typically under-represented individuals with parkinsonism, specifically those who lack capacity, in order to describe a more representative sample and address an area of unmet need.
This study involves a detailed and holistic phenotyping of people with parkinsonism, rather than focusing on any one motor or non-motor domain in conjunction with data from the perspective of a caregiver.
Despite efforts to design a specific approach to promote inclusion of hard-to-reach individuals, we acknowledge that non-response bias may impact the findings.
Given the cross-sectional design, it will not be possible to establish causality of any associations observed.
Introduction
Parkinson’s disease (PD), the most common cause of parkinsonism, is the second most frequent neurodegenerative disease after Alzheimer’s disease and is estimated to affect around 0.3% of the population in industrialised countries, rising to 1% in those aged over 60 years.1 A meta-analysis of worldwide data on prevalence of PD showed rising prevalence with age from 41 per 100 000 people in those aged 40–49 years to 1903 per 100 000 in those aged over 80 years.2
People with parkinsonism are a highly heterogeneous group3 and the disease encompasses a spectrum of motor and non-motor symptoms, including fatigue, sleep disturbance, neuropsychiatric complications and cognitive impairment, which manifest across the disease course and fluctuate over time.4 While PD is not directly the result of ageing, it is a condition that more commonly affects older people,1 who are more likely to also be living with frailty and multimorbidity. Frailty and multimorbidity act synergistically to drive clinical complexity5 and heighten the risk of adverse outcomes for older people with PD. The impact of multimorbidity on an individual’s risk profile may be greater than the sum of conditions.6 In order to fully appreciate the level of clinical complexity of people with PD, it is necessary to integrate the multifaceted problems they may experience, together with their frailty status and additional comorbidities.
PD impacts negatively on the physical and psychosocial well-being of those who care for or support these individuals.7 As PD progresses, many individuals will require care and a large proportion of this is provided informally. In one study of patients with moderate to advanced parkinsonism, over 80% were receiving input from an informal caregiver, while only a quarter of people received formal domestic or personal care.8 Increasing age, functional disability, non-motor symptom burden, and declining cognitive and physical function are associated with greater care need and, in turn, with worsening caregiver quality of life.9 Caregivers are often older adults,9 so may themselves be living with frailty and multimorbidity, making them vulnerable to negative health outcomes which can limit their ability to provide informal support; thus studying the needs of, and supporting, caregivers is important to optimise the well-being of people with parkinsonism.
The extent to which findings from many large observational studies of people with parkinsonism can be extrapolated is limited as patients are frequently excluded on the bases of age, comorbidities, cognitive impairment or inability to consent. The COhort of Patients with PArkinson’s DIsease in Spain study restricted inclusion to those aged 30–75 years and excluded patients with dementia (defined as a Mini-Mental State Examination score <26) or who were unable to provide informed consent.10 The international, multicentre Non-motor International Longitudinal Study excluded patients with dementia or who were unable to consent.11 Similarly, existing UK-based PD cohort studies have generally focused on patients with idiopathic PD, including the Discovery cohort which recruited from neurology clinics and excluded individuals if they were suspected to have non-idiopathic PD, Lewy Body dementia or had cognitive impairment which precluded consent.12 The prospective, multicentre Tracking Parkinson’s cohort excluded those with other forms of parkinsonism or severe comorbid illness.13 It is, however, encouraging to note that some ongoing biomarker development cohorts are taking an inclusive approach towards recruitment, including the Cincinnati Biomarker Programme which is enrolling participants with any form of parkinsonism or dementia, at any disease stage, though participant burden may implicitly exclude some participants.14 Even studies focusing on later stage PD are often not wholly inclusive: a Dutch cross-sectional study of nursing home residents with PD opted to exclude individuals with moderate to severe cognitive decline15 and a cross-sectional study investigating the clinical burden of advanced PD required patients to be able to provide written informed consent.16 This limits the generalisability of the findings and likely provides an overly optimistic clinical picture of PD.
In this study, we aim to quantitatively describe the overall symptomatology and phenomenology of people with parkinsonism, rather than focus on any one motor or non-motor symptom of the disease. Early studies focused almost exclusively on the motor manifestations of Parkinson’s with more recent work better profiling the non-motor aspects.17 However, more global aspects such as patient activation, nutritional risk, well-being and exploration of wider impacts on caregivers have been underevaluated. We will recruit people with parkinsonism who are additionally living with frailty, multimorbidity and cognitive impairment, in order to describe a representative population and address this area of unmet need. We will also gain vital information on the lived experience of caregivers by co-enrolling individuals who live with, care for or support someone with parkinsonism. Understanding the profile of people with parkinsonism in terms of their disease stage, symptom burden and multimorbidity, as well as characterising the population of caregivers associated with people with parkinsonism will inform the development of a person-centred and individualised multicomponent intervention and allow us to target patients and caregivers most at risk of adverse outcomes.18 We will also use this cross-sectional study as a sampling frame whereby information on disease stage and health needs is utilised to stratify a subgroup of participants into a future randomised controlled trial of a new care model (PRIME) with an intervention that is targeted according to clinical complexity.19
Methods and analysis
Study design and population
This is a single-centre, cross-sectional study. People with parkinsonism living in the catchment area of Royal United Hospital Bath NHS Foundation Trust (RUH Bath), a district general hospital in the UK, will be recruited to the study over approximately 12–24 months from September 2020. We will also enrol primary informal caregivers of a patient with parkinsonism. A person with parkinsonism may take part in the study regardless of whether they have an informal caregiver and, if they do, whether this person wishes to take part. Likewise, a caregiver may participate regardless of whether the person with parkinsonism, for whom they care, wishes to take part.
The catchment area for the RUH Bath includes North-East Somerset, parts of South Gloucestershire and West Wiltshire. People with parkinsonism are cared for by the separate Parkinson’s specialist clinicians in the older person’s unit (OPU) and neurology teams with outpatient clinics at the RUH site; St Martin’s Hospital in Bath; and Chippenham and Devizes in Wiltshire. Home visits to patients in residential care are also undertaken by the OPU Parkinson’s clinicians.
Inclusion/exclusion criteria
Patient participants
Inclusion criteria
Have a diagnosis of parkinsonism (including idiopathic PD, progressive supranuclear palsy, corticobasal degeneration, multiple system atrophy, dementia with Lewy bodies, vascular parkinsonism), made by a movement disorder specialist (a physician subspecialising in neurology or geriatric medicine).
Be willing to participate.
Have the ability to provide informed consent to participate or, where unable to do so due to cognitive impairment, availability of a close friend or relative to act as a personal consultee.
Be aged 18 years or over.
Live in the catchment area of RUH Bath.
Exclusion criteria
Individuals with drug-induced parkinsonism.
Individuals who lack capacity to consent to participate but do not have anyone who can be a consultee to provide advice regarding their wishes and views.
Current medical, cognitive or psychosocial issue or co-enrolment in another study that, in the opinion of the site investigator, would interfere with adherence to study requirements (eg, individuals in the last days/weeks of life).
Caregiver participants
Inclusion criteria
Provide informal care or support for a patient with parkinsonism and, where a patient has more than one informal caregiver, be considered by the patient to be their primary caregiver.
Be willing to participate.
Have the ability to provide informed consent to participate.
Be aged 18 years or over.
Exclusion criteria
Professional carers, who are paid to deliver care
Sampling and recruitment procedures
Potentially eligible participants will be identified from lists of patients coded with parkinsonism during an inpatient admission and from lists of patients followed up or seen as a new referral within the movement disorder services at the main regional hospital (RUH Bath) and ancillary clinics within the surrounding area.
Patients who meet the eligibility criteria will be sent an invitation letter, by the study team on behalf of their Parkinson’s clinician, in the post, together with information about the study for them and for any informal caregiver. Willing patients/caregivers will be asked to complete the written consent form and return it by post to the study team at RUH Bath. Participants who do not respond to this invitation letter will receive one or more telephone calls from the study team, after they have had at least 1 week to consider the information. The purpose of these calls will be to answer any questions the patient may have about study participation; ascertain how the team can support the patient to participate should they wish to; identify if there are any requirements for translation and, where necessary, assess capacity to consent to taking part in the study. Research participants do not receive any remuneration or incentive for taking part, but all postal costs are covered. If the patient declines to participate, they will not receive further contact about this study.
Identification of caregivers
The envelope sent to potential patient participants will contain an information booklet and consent form for people who provide care or support to someone with parkinsonism. The invitation letter asks the person with parkinsonism to pass this information to the person who is their main source of help or support, where relevant. Potential caregiver participants may also be identified from the ‘About Me’ form, which willing patient participants are asked to return together with their completed consent form. If they tick that they live with someone or that they receive support from family or friends, the patient participant will receive a telephone call to clarify whether this individual is eligible and willing to take part as caregiver.
Adults lacking capacity to consent to participation in research
Patients will be assumed to have capacity to consent to the study unless there is evidence to suggest otherwise. Situations which will prompt capacity assessment include return of incomplete or partially completed consent forms; an individual (such as care home staff or a family member), who answers the phone on behalf of a patient during a follow-up call, expressing concern that the patient may struggle to understand the study information. If a capacity assessment is triggered, this will be conducted by telephone by a trained member of the team in accordance with the Mental Capacity Act 2005 two-stage test.20 This individual will take all possible steps to facilitate the potential participant to make a capacitous decision (e.g., by calling back on another occasion; by ensuring that a family member or friend is with the potential participant during the assessment, if possible).
Identification and involvement of a personal consultee
If the potential participant does not have capacity to give consent to participate in the study, a personal consultee, usually a close family member or friend who knows the potential participant in a personal capacity, will be sought to review the requirements for study participation and offer advice on the wishes and views of the patient, including the patient’s view on taking part in research at the time they had capacity. Personal consultees will be identified from next of kin details held within clinical records, discussion with care home staff and, where relevant, asking to speak to anyone who lives with or is supporting the potential patient participant.
If the consultee advises that the person would have consented at a time they had capacity, they will be asked to sign the consultee declaration form. The personal consultee, or another close friend or relative of the person with parkinsonism, will be asked to complete questionnaires on behalf of the patient, acting as their ‘representative’. We will not involve nominated consultees such as healthcare professionals or paid carers. Where no personal consultee is available, for example because the person lacking capacity has no family member or friend, or they are not willing to act as a personal consultee, the patient shall be excluded from the study.
Data collection
Methods of assessment
Recruited participants will complete a single questionnaire booklet at home during the study period and will be asked to return this to the research team in the prepaid envelope provided. Where able, participants will self-complete the questionnaires and can do this over a number of days. Questionnaire completion can also be facilitated over the telephone or in person to support individuals with, for example, visual impairment or tremor/dyskinesia limiting ability to write, to participate. Where participants have capacity but have a physical inability to mark responses on the questionnaire (e.g., due to tremor or bradykinesia), assistance with making a physical response can be undertaken by another person, which could include their paid carer, with the answer communicated by the participant.
People with parkinsonism, who can consent to the study, will be asked to complete a full patient questionnaire booklet, which may take up to 2 hours to complete. Representatives of those unable to consent to the study will complete a specially designed and adapted patient questionnaire booklet on their behalf; this may take up to 1 hour to complete. Caregivers will be asked to complete the caregiver questionnaire booklet, about their own perspective, which is estimated to take up to 1 hour to complete. The contents of all three questionnaire booklets are detailed in table 1.
Table 1.
Metric | Data | Items | PPT + | PPT - | CG |
Demographics | Gender | 1 | |||
Date of birth | 1 | ||||
Ethnicity | 1 | ||||
Employment status | 1 | ||||
Highest qualification | 1 | ||||
Marital status | 1 | ||||
Living situation | 1 | ||||
Medication | Medication (name, dose, frequency, route) | 1 | |||
Parkinson’s history | Diagnosis | 1 | |||
Year of diagnosis | 1 | ||||
Laterality of first symptoms | 1 | ||||
Advanced therapies | 3 | ||||
General medical history | Past medical history | 1 | |||
Healthcare contacts | 2 | ||||
Falls and near falls | 2 | ||||
Height, weight, weight 3–6 months ago | 3 | ||||
Health status question | 1 | ||||
About the care | Relationship to recipient | 1 | |||
Living with recipient | 1 | ||||
Intensity of caring and tasks of caring | 2 | ||||
Duration of caring | 1 | ||||
Information about care recipient (if the patient is not participating) |
Gender | 1 | |||
Age | 1 | ||||
Living situation | 1 | ||||
Diagnosis | 1 | ||||
Year of diagnosis | 1 | ||||
Nutritional risk | Seniors in the community: Risk Evaluation for Eating and Nutrition II−14 item version56–58 | 17 | |||
Frailty | Survey of Health, Ageing and Retirement in Europe 75+52 | 5 | |||
Sarcopenia screen | SARC-F questionnaire54 | 5 | |||
Covid-19 questions | Symptoms, self-isolation/shielding, access to care | 13 | |||
Lifestyle | Smoking | 1 | |||
Alcohol intake | 2 | ||||
Physical activity | 3 | ||||
Capability/well-being | ICEpop CAPability measure for Older People59 | 5 |
(proxy version) |
||
Quality of life | Parkinson’s Disease Questionnaire-39 (PDQ-39)60 | 39 | |||
Non-motor symptom burden | Non-Motor Symptom Questionnaire (NMSQ)61 | 30 | |||
Autonomic symptoms | Scales for Outcomes in Parkinson’s disease- autonomic dysfunction62 | 25 | |||
Depression | Beck depression inventory-II63 | 21 | |||
Bowel function | Neurogenic bowel dysfunction score30 | 11 | |||
Urinary tract symptoms | International Consultation on Incontinence Questionnaire: ICIQ-mLUTS (for men) and ICIQ-fLUTS (for women)29 | 12 (female) 13 (male) |
|||
Cognition | Test Your Memory32 | 16 | |||
Motor symptom burden | Motor rating scale- adapted from Parveen33 | 4 | |||
Freezing of gait | New Freezing of Gait36 | 9 | |||
Patient activation | Patient Activation Measure64 | 13 | |||
Symptoms and behaviour | Neuropsychiatric Inventory65 | 12 | |||
Activities of daily living | Bristol Activities of Daily Living Scale38 | 20 | |||
Quality of life | Parkinson's Disease Questionnaire (PDQ) carer44 | 29 | |||
Caregiver burden | Zarit Burden Interview66 | 22 | |||
Caregiver activation | Caregiver Patient Activation Measure (CG-PAM) | 13 | |||
Caregiver coping strategies | Brief Coping Orientation to Problems Experienced (BriefCOPE) 67 | 28 | |||
Perceived social support | Multidimensional scale of perceived social support46 | 12 | |||
CG, Caregiver participant; fLUTS, female short form Lower Urinary Tract Symptoms; mLUTS, male short form Lower Urinary Tract Symptoms; PPT-, Participant with parkinsonism without capacity to consent to research (questionnaires completed by a representative); PPT+, Participant with parkinsonism with capacity to consent to research.
If questionnaire booklets have not been received by the research team within 2 weeks of them being posted to participants, the research team will telephone the participant to answer any queries and to offer support. If the participant returns a questionnaire with one or more questions left blank or incorrectly completed (e.g., multiple options are selected for a question which requires only one answer), the participant will be contacted by telephone and asked if they are willing to clarify their answers.
Rationale for selected questionnaires
Measures for people with parkinsonism
In order to capture the other comorbidities affecting people with parkinsonism, we are using a list designed as a research tool for the self-report of chronic conditions in primary care.21
The 39-item Parkinson’s Disease Questionnaire (PDQ-39) is a Movement Disorder Society (MDS)-recommended, PD-specific measure of health-related quality of life and has been well-validated and utilised in this population.22 A well-being measure, ICEpop CAPability measure for Older People (ICECAP-O) will be used to capture the broader impact of PD on participants. ICECAP-O is a relatively new measure of capability in older people which has been previously used in patients with PD.23 A proxy version has been used to assess capability in older adults with cognitive impairment24 25 so this measure will be completed by a representative for patients lacking capacity and unable to complete questionnaires.
Non-motor symptoms can be particularly troubling for patients and can negatively influence quality of life26 and so are important to capture as part of this holistic and in-depth assessment. While the PD Nonmotor Symptoms Questionnaire is a screening tool, rather than a rating instrument, it was selected for this study because it does not require rater administration and is relatively quick for participants to self-complete.27 The Beck Depression Inventory has been validated for use in people with PD and is widely used to screen for depression and assess the severity of depression symptoms in the group.28
The Scales for Outcomes in Parkinson’s disease-autonomic dysfunction questionnaire has been included to characterise the burden of autonomic symptoms that are responsible for many non-motor symptoms. These can be diffuse and wide-reaching and include important yet seldom considered issues such as sexual function, as well common phenomena including orthostatic hypotension. Bladder symptoms contribute significantly to quality of life and will be further explored in more depth using the International Consultation on Incontinence Questionnaire male and female short form Lower Urinary Tract Symptoms tools, which have been recommended for use in PD.29 These broadly cover all urinary symptoms specific to each gender. Bowel symptoms will be similarly explored using the neurogenic bowel score.30
Test Your Memory is a self-administered cognitive screening test31 which has been used among people with PD and compared with the Montreal Cognitive Assessment.32
Self-reported motor symptoms will be captured using questions adapted from a motor rating form based on motor tasks from the MDS-Unified Parkinson’s Disease Rating Scale.33
Freezing of gait is a common symptom, particularly in the advanced phases of PD, which can cause disability, negatively impact quality of life34 and increase falls risk.35 The New-Freezing of Gait Questionnaire is a self-reported tool to assess the impact and severity of freezing symptoms.36
The Patient Activation Measure is a metric used to quantify the self-management capabilities of patients.37 There is an increasing awareness that patients who have the knowledge, skills and confidence to look after their health and feel empowered to do so have better health outcomes37 and so it is important to gain an understanding of activation levels among people with PD and their caregivers.
The Bristol Activities of Daily Living (Bristol ADL) has been shown to have good content and construct validity when used with people with dementia38 and was one of only two scales rated as moderate quality in a systematic review of ADL scales in dementia and, of these, the only one suitable for self-completion by a caregiver.39 This will allow the quantification of functional ability in participants who take part with a representative. Neuropsychiatric symptoms are a common feature of PD dementia and can negatively impact caregiver burden,40 hence particularly important to measure for participants with cognitive impairment. The questionnaire form of the Neuropsychiatric Inventory is a brief proxy-completed assessment.41
Measures which have not been validated for proxy report, or for which it would not be feasible for someone to complete on behalf of the patient, have not been included in the shorter patient questionnaire booklet for completion by a representative.
Measures for caregivers
Several tools will be used to measure caregiver burden and experience. The number of hours spent caregiving will be captured using a grid which allows the caregiver to document the hours spent on each of four categories of tasks, which are based on the categories included within the Caregiver Indirect and Informal Care Cost Assessment Questionnaire, developed by Landfeldt et al.42 Caregivers can report the hours spent on each day of the week to account for the fact that their input may differ throughout the week.
The 21-item Zarit Burden Inventory is the most commonly used measure of caregiver burden among family caregivers of people with PD.43 The PDQ carer has been specifically designed to measure quality of life among caregivers of people with PD44 and will be used in this study.
The Brief Coping Orientation to Problems Experienced (Brief-COPE) is a frequently used coping scale and its subscales have been shown to predict distress and well-being.45 The Multidimensional Scale of Perceived Social Support is a subjective assessment of social support.46 Coping style may alter the way an informal caregiver deals with the challenges and stresses of caring and a caregiver’s perception that they have good social support may have a protective effect.43
Measures used in all three groups
There is evidence to suggest that people with PD are at risk of weight loss and malnutrition.47 Moreover, malnutrition is prevalent in older adults and is responsible for many significant health-related negative outcomes.48–50 We will quantify nutrition risk using the Seniors in the community: risk evaluation for eating and nutrition, Version II (SCREEN-II) scale which is a valid and reliable tool to measure nutritional status.
Frailty is a syndrome of loss of physiological reserve which confers greater vulnerability to negative health outcomes; it is considered to be a dynamic condition in which individuals may transition to an improved, as well as more advanced, frailty state.51 The Frailty Instrument for Primary Care of the Survey of Health, Ageing and Retirement in Europe (SHARE) is a phenotypic frailty assessment tool; in this study, we have opted to use the SHARE tool which was developed and validated in those aged 75 years and over, in which assessment of handgrip strength was substituted with a question about walking.52 In the SHARE cohort, walking was assessed by a clinician; in this study, we have adapted the SHARE-FI75 +for self-reported completion. Sarcopenia, a disease characterised by low muscle strength, together with low muscle quantity or quality, may contribute to the development of physical frailty.53 The SARC-F questionnaire is a rapid screening tool for sarcopenia54 which will be used.
Caregivers are often older adults9 and may themselves be living with frailty, sarcopenia and risk of malnutrition, hence the SARC-F, SHARE-FI75 +and SCREEN-II questionnaires will also be included in the caregiver questionnaire booklet, as well as the patient and representative-completed booklets.
In order to contextualise the responses to other questionnaires collected in this study, we have compiled some questions to gather information about any symptoms of COVID-19 infection experienced by participants, whether they have had to self-isolate or shield, and their experience of accessing care during the pandemic.
Sample size
The sample size is pragmatic based on the total available number of potentially eligible people with parkinsonism at this single centre. There are approximately 1200 people with parkinsonism who are within the geographical catchment of the RUH Bath. The likely response rate is unclear but we anticipate we will achieve a response rate of over 40% which would result in 480 completed patient questionnaires.
A previous cross-sectional postal survey, with a response rate of 58.2%, noted a mean PDQ-39 summary index score of 44.6 (SD 17.6).55 With a sample size of 480 we can estimate a mean PDQ-39 score with the following precision of approximately±3.3 points. This 95% CI range is sufficiently precise for descriptive purposes. Further subgroups, for example, by age group and gender will be less precise.
Statistical analysis
Results will be displayed as descriptive statistics using mean plus SD for normally distributed variables and median plus IQR for skewed variables. Multivariable linear and logistic regression models will be used to test simple associations. Our a priori hypotheses are that we will show worse health needs and greater disability with increasing age, disease duration and male gender. Other variables of interest include socioeconomic status, geography (urban–rural), and ethnicity (though we have limited numbers of ethnic minorities in this catchment area so will be underpowered). We are specifically interested to test how these factors could potentially interact with each, using goodness of fit or likelihood ratio tests. We will also examine if other covariates such as multimorbidity could act as potential mediators. For example, men with similar disease duration may have greater disability partially due to a greater burden of cardiorespiratory disease. Since these are exploratory subgroup analyses, we are cognisant of the potential for type 1 error due to multiple testing.
Where possible, we will follow the recommendation of the questionnaires’ authors for how to deal with missing questionnaire responses, for example pro rating the score, where appropriate. We will explore which factors predict the missing variables and then use multiple imputation methods, assuming these are ‘missing at random’ to combine the effects over 10 simulated datasets and incorporating uncertainty using Rubin’s rules. This will allow us to conduct a sensitivity analysis to compare the complete case with the imputed results.
Limitations
Despite our efforts to reduce barriers to participation, in order to recruit a representative sample of people with parkinsonism, there will inevitably be some non-response bias. We also acknowledge that the region around RUH Bath is not ethnically diverse. Additionally, some recruited participants may not complete and return all questionnaires, although we aim to minimise missing data by following up any queries by telephone. Finally, this study only assesses symptomatology using questionnaire-based measures; there would be benefit to triangulating these self-reported measures with digital measures in the future.
Patient and public involvement statement
This study has been designed and performed in conjunction with the study public involvement advisory group (PIAG), all of whom have PD. The PIAG been critical to the design and content of participant information leaflets and consent forms. Changes made as a result of their valuable contribution include:
Improved sensitivity around terminology for those who care for someone with PD, acknowledging that they may live with someone who has PD but not see themselves as a carer/caregiver, but may ‘provide support’. The term ‘caregiver’ was preferred over ‘carer’ and therefore used throughout the study documentation.
Inclusion of an approximate time to complete the questionnaires in the participant information leaflet and we further emphasised that the questionnaires are intended to be completed at home
Inclusion of information for plans regarding dissemination of results to participants.
Ethics and dissemination
This protocol was approved by the London—Brighton & Sussex Research Ethics Committee on 27 July 2020 (REC reference 20/LO/0890). It is registered with the ISRCTN (11452969).
All participants will either provide written informed consent or, in the case of patient participants who lack capacity to consent to participation in the study, a consultee will provide advice on their prior wishes and will sign a consultee declaration if they believe the patient would be willing to participate.
If the person with parkinsonism has opted not to participate themselves, it is necessary, so far as possible, for us to collect some basic information about who the caregiver supports. In this case, the person with PD (or their personal consultee if they lack capacity to make decisions about the study) is asked to sign a section on the back of the caregiver consent form if they are happy for their caregiver to provide basic information about them.
Participants can choose to withdraw for any reason at any time during their involvement in the study and will not be followed up after withdrawal from the study. They will be asked their reason for withdrawal but do not have to provide this. Data collected up to the time of withdrawal will be used.
We plan to publish the results of this protocol in an international peer-reviewed journal and at academic national and international meetings and conferences. When we share the results of key findings, we will upload a lay summary to the PRIME-Parkinson website.
Supplementary Material
Footnotes
Twitter: @EmmaTenison, @FionaLithander, @dr_mdsmith, @physiodani, @DrEmHenderson
Contributors: ET, FEL, YB-S and EJH were responsible for the concept of the study and contributed to study development and design. ET, DP-B and MDS contributed to patient recruitment. ET drafted the manuscript and all authors provided critical revision and approved the final protocol.
Funding: This work was supported by the Gatsby Charitable Foundation, grant number 3676.
Competing interests: EJH received funding from the National Institute of Health Technology (NIHR), the Gatsby Foundation and Parkinson’s UK; received fees for speaking and consultancy from Profile pharma Medicys and Luye; and received travel support from Bial Abbvie and Ever pharma. YB-S is a recipient of a Radboud Excellence award. He has received research support from the UK Medical Research Council, Wellcome Trust, NIHR, Parkinson’s UK, vs Arthritis, Gatsby Foundation, Dunhill Trust, and received a Radboud Excellence Award.
Patient and public involvement: Patients and/or the public were involved in the design, or conduct, or reporting, or dissemination plans of this research. Refer to the Methods section for further details.
Provenance and peer review: Not commissioned; externally peer reviewed.
Ethics statements
Patient consent for publication
Not applicable.
References
- 1.de Lau LML, Breteler MMB. Epidemiology of Parkinson's disease. Lancet Neurol 2006;5:525–35. 10.1016/S1474-4422(06)70471-9 [DOI] [PubMed] [Google Scholar]
- 2.Pringsheim T, Jette N, Frolkis A, et al. The prevalence of Parkinson's disease: a systematic review and meta-analysis. Mov Disord 2014;29:1583–90. 10.1002/mds.25945 [DOI] [PubMed] [Google Scholar]
- 3.Ryden LE, Lewis SJG. Parkinson's disease in the era of personalised medicine: one size does not fit all. Drugs Aging 2019;36:103–13. 10.1007/s40266-018-0624-5 [DOI] [PubMed] [Google Scholar]
- 4.Schapira AHV, Chaudhuri KR, Jenner P. Non-motor features of Parkinson disease. Nat Rev Neurosci 2017;18:509. 10.1038/nrn.2017.91 [DOI] [PubMed] [Google Scholar]
- 5.Shippee ND, Shah ND, May CR, et al. Cumulative complexity: a functional, patient-centered model of patient complexity can improve research and practice. J Clin Epidemiol 2012;65:1041–51. 10.1016/j.jclinepi.2012.05.005 [DOI] [PubMed] [Google Scholar]
- 6.Cesari M, Pérez-Zepeda MU, Marzetti E. Frailty and multimorbidity: different ways of thinking about geriatrics. J Am Med Dir Assoc 2017;18:361–4. 10.1016/j.jamda.2016.12.086 [DOI] [PubMed] [Google Scholar]
- 7.Greenwell K, Gray WK, van Wersch A, et al. Predictors of the psychosocial impact of being a carer of people living with Parkinson's disease: a systematic review. Parkinsonism Relat Disord 2015;21:1–11. 10.1016/j.parkreldis.2014.10.013 [DOI] [PubMed] [Google Scholar]
- 8.Hand A, Oates LL, Gray WK, et al. Understanding the care needs and profile of people living at home with moderate to advanced stage Parkinson disease. J Geriatr Psychiatry Neurol 2018;31:237–47. 10.1177/0891988718788680 [DOI] [PubMed] [Google Scholar]
- 9.Hand A, Oates LL, Gray WK, et al. The role and profile of the informal carer in meeting the needs of people with advancing Parkinson's disease. Aging Ment Health 2019;23:337–44. 10.1080/13607863.2017.1421612 [DOI] [PubMed] [Google Scholar]
- 10.Santos-García D, de Deus Fonticoba T, Suárez Castro E, et al. Non-Motor symptom burden is strongly correlated to motor complications in patients with Parkinson's disease. Eur J Neurol 2020;27:1210–23. 10.1111/ene.14221 [DOI] [PubMed] [Google Scholar]
- 11.van Wamelen DJ, Sauerbier A, Leta V, et al. Cross-Sectional analysis of the Parkinson's disease non-motor international longitudinal study baseline non-motor characteristics, geographical distribution and impact on quality of life. Sci Rep 2021;11:9611. 10.1038/s41598-021-88651-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Szewczyk-Krolikowski K, Tomlinson P, Nithi K, et al. The influence of age and gender on motor and non-motor features of early Parkinson's disease: initial findings from the Oxford Parkinson disease center (OPDC) discovery cohort. Parkinsonism Relat Disord 2014;20:99–105. 10.1016/j.parkreldis.2013.09.025 [DOI] [PubMed] [Google Scholar]
- 13.Malek N, Swallow DMA, Grosset KA, et al. Tracking Parkinson's: study design and baseline patient data. J Parkinsons Dis 2015;5:947–59. 10.3233/JPD-150662 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Sturchio A, Marsili L, Vizcarra JA, et al. Phenotype-Agnostic molecular subtyping of neurodegenerative disorders: the Cincinnati cohort biomarker program (CCBP). Front Aging Neurosci 2020;12:553635. 10.3389/fnagi.2020.553635 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Weerkamp NJ, Tissingh G, Poels PJE, et al. Nonmotor symptoms in nursing home residents with Parkinson's disease: prevalence and effect on quality of life. J Am Geriatr Soc 2013;61:1714–21. 10.1111/jgs.12458 [DOI] [PubMed] [Google Scholar]
- 16.Fasano A, Fung VSC, Lopiano L, et al. Characterizing advanced Parkinson's disease: OBSERVE-PD observational study results of 2615 patients. BMC Neurol 2019;19:50.. 10.1186/s12883-019-1276-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Chaudhuri KR, Odin P, Antonini A, et al. Parkinson's disease: the non-motor issues. Parkinsonism Relat Disord 2011;17:717–23. 10.1016/j.parkreldis.2011.02.018 [DOI] [PubMed] [Google Scholar]
- 18.Tenison E, Smink A, Redwood S, et al. Proactive and integrated management and Empowerment in Parkinson's disease: designing a new model of care. Parkinsons Dis 2020;2020:8673087. 10.1155/2020/8673087 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Proactive and Integrated Management and Empowerment in Parkinson’s Disease (PRIME-UK): A New Model of Care (PRIME-RCT) (PRIME-RCT; NCT05127057) ClinicalTrials.gov2021 [updated 13/12/2021. Available: https://www.clinicaltrials.gov/ct2/show/NCT05127057?term=NCT05127057&cond=Parkinson+Disease&draw=2&rank=1
- 20.Mental capacity act 2005- code of practice, 2007. Available: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/921428/Mental-capacity-act-code-of-practice.pdf [Accessed 03 May 2022].
- 21.Fortin M, Almirall J, Nicholson K. Development of a research tool to document self-reported chronic conditions in primary care. J Comorb 2017;7:117–23. 10.15256/joc.2017.7.122 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Martinez-Martin P, Jeukens-Visser M, Lyons KE, et al. Health-related quality-of-life scales in Parkinson's disease: critique and recommendations. Mov Disord 2011;26:2371–80. 10.1002/mds.23834 [DOI] [PubMed] [Google Scholar]
- 23.Xin Y, Lewsey J, Gray R. Broadening the evaluative scope of quality of life in Parkinson’s: Testing the construct validity of the ICECAP-O instrument [abstract]. International Parkinson’s Disease and Movemement Disorder Society Meeting abstracts Mov Disord, 2016. [Google Scholar]
- 24.Makai P, Brouwer WBF, Koopmanschap MA, et al. Capabilities and quality of life in Dutch psycho-geriatric nursing homes: an exploratory study using a proxy version of the ICECAP-O. Qual Life Res 2012;21:801–12. 10.1007/s11136-011-9997-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Makai P, Beckebans F, van Exel J, et al. Quality of life of nursing home residents with dementia: validation of the German version of the ICECAP-O. PLoS One 2014;9:e92016. 10.1371/journal.pone.0092016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Chaudhuri KR, Schrag A, Weintraub D, et al. The movement disorder Society nonmotor rating scale: initial validation study. Mov Disord 2020;35:116–33. 10.1002/mds.27862 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Chaudhuri KR, Martinez-Martin P, Schapira AHV, et al. International multicenter pilot study of the first comprehensive self-completed nonmotor symptoms questionnaire for Parkinson's disease: the NMSQuest study. Mov Disord 2006;21:916–23. 10.1002/mds.20844 [DOI] [PubMed] [Google Scholar]
- 28.Schrag A, Barone P, Brown RG, et al. Depression rating scales in Parkinson's disease: critique and recommendations. Mov Disord 2007;22:1077–92. 10.1002/mds.21333 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Pavy-Le Traon A, Cotterill N, Amarenco G, et al. Clinical rating scales for urinary symptoms in Parkinson disease: critique and recommendations. Mov Disord Clin Pract 2018;5:479–91. 10.1002/mdc3.12636 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Krogh K, Christensen P, Sabroe S, et al. Neurogenic bowel dysfunction score. Spinal Cord 2006;44:625–31. 10.1038/sj.sc.3101887 [DOI] [PubMed] [Google Scholar]
- 31.Brown J, Pengas G, Dawson K, et al. Self administered cognitive screening test (TYM) for detection of Alzheimer's disease: cross sectional study. BMJ 2009;338:b2030. 10.1136/bmj.b2030 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Henderson EJ, Chu H, Gaunt DM, et al. Comparison of test your memory and Montreal cognitive assessment measures in Parkinson's disease. Parkinsons Dis 2016;2016:1012847. 10.1155/2016/1012847 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Parveen S. Comparison of self and proxy ratings for motor performance of individuals with Parkinson disease. Brain Cogn 2016;103:62–9. 10.1016/j.bandc.2016.01.006 [DOI] [PubMed] [Google Scholar]
- 34.Moore O, Peretz C, Giladi N. Freezing of gait affects quality of life of peoples with Parkinson's disease beyond its relationships with mobility and gait. Mov Disord 2007;22:2192–5. 10.1002/mds.21659 [DOI] [PubMed] [Google Scholar]
- 35.Lim I, van Wegen E, Jones D, et al. Identifying fallers with Parkinson's disease using home-based tests: who is at risk? Mov Disord 2008;23:2411–5. 10.1002/mds.22209 [DOI] [PubMed] [Google Scholar]
- 36.Nieuwboer A, Rochester L, Herman T, et al. Reliability of the new freezing of gait questionnaire: agreement between patients with Parkinson's disease and their carers. Gait Posture 2009;30:459–63. 10.1016/j.gaitpost.2009.07.108 [DOI] [PubMed] [Google Scholar]
- 37.Greene J, Hibbard JH, Sacks R, et al. When patient activation levels change, health outcomes and costs change, too. Health Aff 2015;34:431–7. 10.1377/hlthaff.2014.0452 [DOI] [PubMed] [Google Scholar]
- 38.Bucks RS, Ashworth DL, Wilcock GK, et al. Assessment of activities of daily living in dementia: development of the Bristol activities of daily living scale. Age Ageing 1996;25:113–20. 10.1093/ageing/25.2.113 [DOI] [PubMed] [Google Scholar]
- 39.Sikkes SAM, de Lange-de Klerk ESM, Pijnenburg YAL, et al. A systematic review of instrumental activities of daily living scales in dementia: room for improvement. J Neurol Neurosurg Psychiatry 2009;80:7–12. 10.1136/jnnp.2008.155838 [DOI] [PubMed] [Google Scholar]
- 40.Martinez-Martin P, Rodriguez-Blazquez C, Forjaz MJ, et al. Neuropsychiatric symptoms and caregiver's burden in Parkinson's disease. Parkinsonism Relat Disord 2015;21:629–34. 10.1016/j.parkreldis.2015.03.024 [DOI] [PubMed] [Google Scholar]
- 41.Kaufer DI, Cummings JL, Ketchel P, et al. Validation of the NPI-Q, a brief clinical form of the neuropsychiatric inventory. J Neuropsychiatry Clin Neurosci 2000;12:233–9. 10.1176/jnp.12.2.233 [DOI] [PubMed] [Google Scholar]
- 42.Landfeldt E, Zethraeus N, Lindgren P. Standardized questionnaire for the measurement, valuation, and estimation of costs of informal care based on the opportunity cost and proxy good method. Appl Health Econ Health Policy 2019;17:15–24. 10.1007/s40258-018-0418-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Mosley PE, Moodie R, Dissanayaka N. Caregiver burden in Parkinson disease: a critical review of recent literature. J Geriatr Psychiatry Neurol 2017;30:235–52. 10.1177/0891988717720302 [DOI] [PubMed] [Google Scholar]
- 44.Jenkinson C, Dummett S, Kelly L, et al. The development and validation of a quality of life measure for the carers of people with Parkinson's disease (the PDQ-Carer). Parkinsonism Relat Disord 2012;18:483–7. 10.1016/j.parkreldis.2012.01.007 [DOI] [PubMed] [Google Scholar]
- 45.Kato T. Frequently used coping scales: a meta-analysis. Stress Health 2015;31:315–23. 10.1002/smi.2557 [DOI] [PubMed] [Google Scholar]
- 46.Zimet GD, Powell SS, Farley GK, et al. Psychometric characteristics of the multidimensional scale of perceived social support. J Pers Assess 1990;55:610–7. [DOI] [PubMed] [Google Scholar]
- 47.van der Marck MA, Dicke HC, Uc EY, et al. Body mass index in Parkinson's disease: a meta-analysis. Parkinsonism Relat Disord 2012;18:263–7. 10.1016/j.parkreldis.2011.10.016 [DOI] [PubMed] [Google Scholar]
- 48.Rullier L, Lagarde A, Bouisson J, et al. Psychosocial correlates of nutritional status of family caregivers of persons with dementia. Int Psychogeriatr 2014;26:105–13. 10.1017/S1041610213001579 [DOI] [PubMed] [Google Scholar]
- 49.Margetts BM, Thompson RL, Elia M, et al. Prevalence of risk of undernutrition is associated with poor health status in older people in the UK. Eur J Clin Nutr 2003;57:69–74. 10.1038/sj.ejcn.1601499 [DOI] [PubMed] [Google Scholar]
- 50.Volkert D, Beck AM, Cederholm T, et al. Management of malnutrition in older Patients-Current approaches, evidence and open questions. J Clin Med 2019;8. 10.3390/jcm8070974. [Epub ahead of print: 04 07 2019]. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Hoogendijk EO, Afilalo J, Ensrud KE, et al. Frailty: implications for clinical practice and public health. Lancet 2019;394:1365–75. 10.1016/S0140-6736(19)31786-6 [DOI] [PubMed] [Google Scholar]
- 52.Romero-Ortuno R, Soraghan C. A frailty instrument for primary care for those aged 75 years or more: findings from the survey of health, ageing and retirement in Europe, a longitudinal population-based cohort study (SHARE-FI75+). BMJ Open 2014;4:e006645. 10.1136/bmjopen-2014-006645 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Cruz-Jentoft AJ, Baeyens JP, Bauer JM, et al. Sarcopenia: European consensus on definition and diagnosis: report of the European Working group on sarcopenia in older people. Age Ageing 2010;39:412–23. 10.1093/ageing/afq034 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Malmstrom TK, Morley JE. SARC-F: a simple questionnaire to rapidly diagnose sarcopenia. J Am Med Dir Assoc 2013;14:531–2. 10.1016/j.jamda.2013.05.018 [DOI] [PubMed] [Google Scholar]
- 55.Jenkinson C, Fitzpatrick R, Peto V, et al. The Parkinson's disease questionnaire (PDQ-39): development and validation of a Parkinson's disease summary index score. Age Ageing 1997;26:353–7. 10.1093/ageing/26.5.353 [DOI] [PubMed] [Google Scholar]
- 56.Keller HH, Goy R, Kane S-L. Validity and reliability of screen II (seniors in the community: risk evaluation for eating and nutrition, version II). Eur J Clin Nutr 2005;59:1149–57. 10.1038/sj.ejcn.1602225 [DOI] [PubMed] [Google Scholar]
- 57.Keller HH, McKenzie JD, Goy RE. Construct validation and test-retest reliability of the seniors in the community: risk evaluation for eating and nutrition questionnaire. J Gerontol A Biol Sci Med Sci 2001;56:M552–8. 10.1093/gerona/56.9.M552 [DOI] [PubMed] [Google Scholar]
- 58.Wham CA, Redwood KM, Kerse N. Validation of the nutrition screening tool 'Seniors in the Community: Risk Evaluation for Eating and Nutrition, version II' among octogenarians. J Nutr Health Aging 2014;18:39–43. 10.1007/s12603-013-0361-8 [DOI] [PubMed] [Google Scholar]
- 59.Coast J, Flynn TN, Natarajan L, et al. Valuing the ICECAP capability index for older people. Soc Sci Med 2008;67:874–82. 10.1016/j.socscimed.2008.05.015 [DOI] [PubMed] [Google Scholar]
- 60.Peto V, Jenkinson C, Fitzpatrick R, et al. The development and validation of a short measure of functioning and well being for individuals with Parkinson's disease. Qual Life Res 1995;4:241–8. 10.1007/BF02260863 [DOI] [PubMed] [Google Scholar]
- 61.Martinez-Martin P, Schapira AHV, Stocchi F, et al. Prevalence of nonmotor symptoms in Parkinson's disease in an international setting; study using nonmotor symptoms questionnaire in 545 patients. Mov Disord 2007;22:1623–9. 10.1002/mds.21586 [DOI] [PubMed] [Google Scholar]
- 62.Visser M, Marinus J, Stiggelbout AM, et al. Assessment of autonomic dysfunction in Parkinson's disease: the SCOPA-AUT. Mov Disord 2004;19:1306–12. 10.1002/mds.20153 [DOI] [PubMed] [Google Scholar]
- 63.BECK AT, WARD CH, MENDELSON M, et al. An inventory for measuring depression. Arch Gen Psychiatry 1961;4:561–71. 10.1001/archpsyc.1961.01710120031004 [DOI] [PubMed] [Google Scholar]
- 64.Hibbard JH, Mahoney ER, Stockard J, et al. Development and testing of a short form of the patient activation measure. Health Serv Res 2005;40:1918–30. 10.1111/j.1475-6773.2005.00438.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Cummings JL, Mega M, Gray K, et al. The neuropsychiatric inventory: comprehensive assessment of psychopathology in dementia. Neurology 1994;44:2308–14. 10.1212/WNL.44.12.2308 [DOI] [PubMed] [Google Scholar]
- 66.Zarit SH, Reever KE, Bach-Peterson J. Relatives of the impaired elderly: correlates of feelings of burden. Gerontologist 1980;20:649–55. 10.1093/geront/20.6.649 [DOI] [PubMed] [Google Scholar]
- 67.Carver CS. You want to measure coping but your protocol's too long: consider the brief COPE. Int J Behav Med 1997;4:92–100. 10.1207/s15327558ijbm0401_6 [DOI] [PubMed] [Google Scholar]
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