Evidence map›Paper›PMID 41661535›Full record

ArticleEuropean geriatric medicine2026

Patient activation among patients with Parkinsonism and informal caregivers: results from the PRIME-UK cross-sectional study.

Emma Tenison, Yoav Ben-Shlomo, Emily J Henderson

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Article in European geriatric medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Emma TenisonAgeing and Movement Research Group, Department of Population Health Sciences, Bristol Medical School, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS, BS8 1NU, UK. Emma.Tenison@bristol.ac.uk.ORCID http://orcid.org/0000-0003-2330-8844
Yoav Ben-ShlomoAgeing and Movement Research Group, Department of Population Health Sciences, Bristol Medical School, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS, BS8 1NU, UK.ORCID http://orcid.org/0000-0001-6648-3007
Emily J HendersonAgeing and Movement Research Group, Department of Population Health Sciences, Bristol Medical School, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol, BS8 2PS, BS8 1NU, UK.ORCID http://orcid.org/0000-0002-0016-1870

Funding

Gatsby Charitable Foundation 3676
6 · The paper itself

Abstract

introductionSelf-management skills can help patients with Parkinson's disease to adopt healthy behaviors and live well, thereby improving outcomes and reducing costs.

methodsPatients with parkinsonism and caregivers in this single-center study self-completed questionnaires including the Patient Activation Measure (PAM®) which quantifies self-management capability. Predictors of activation were determined using linear regression.

results64% (279/438) of patients and 59% (189/323) of caregivers were categorized as the lowest two activation levels. Increasing patient age, frailty, non-motor and depressive symptoms, four or more comorbidities, and worse quality of life were associated with lower patient activation. Increased hours spent caring and use of emotion-focused and problem-focused coping strategies were associated with increased caregiver activation. There was moderate evidence that male caregivers had lower activation.

conclusionLow activation levels were common among this more representative population of parkinsonism patients and caregivers. Proactive management of non-motor symptoms may improve activation and outcomes.

Indexed as

CaregiversParkinson DiseaseParkinsonian DisordersPatient ParticipationSelf-ManagementAdaptation, PsychologicalAgedAged, 80 and overCoping SkillsCross-Sectional StudiesFemaleHumansMaleMiddle AgedQuality of LifeSurveys and QuestionnairesCaregiverParkinson’s diseasePatient activationSelf-management

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.