Evidence map›Paper›PMID 37212073›Full record

ArticleJournal of Parkinson's disease2023

Mapping Relevance of Digital Measures to Meaningful Symptoms and Impacts in Early Parkinson's Disease.

Jennifer R Mammen, Rebecca M Speck, Glenn M Stebbins, Martijn L T M Müller, Phillip T Yang, Michelle Campbell, Josh Cosman, John E Crawford, Tien Dam, Johan Hellsten and 8 more

Abstract read
In one paragraph

Article in Journal of Parkinson's disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  16. Developing digital health technologies for frontotemporal degeneration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
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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

18 authors.

Jennifer R MammenUniversity of Rhode Island, College of Nursing, Providence, RI, USA.
Rebecca M SpeckCritical Path Institute, Tucson, AZ, USA.
Glenn M StebbinsDepartment of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA.
Martijn L T M MüllerCritical Path Institute, Tucson, AZ, USA.
Phillip T YangCenter for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
Michelle CampbellCenter for Drug Evaluation and Research (CDER), U.S. Food and Drug Administration (FDA), Silver Spring, MD, USA.
Josh CosmanAbbvie Inc., North Chicago, IL, USA.
John E Crawford
Tien DamBiogen, Cambridge, MA, USA.
Johan HellstenH. Lundbeck A/S, Valby, Denmark.
Stella Jensen-RobertsCenter for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
Melissa KostrzebskiCenter for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
Tanya SimuniNorthwestern University Feinberg School of Medicine, Chicago IL, USA.
Kimberly Ward BarowiczCritical Path Institute, Tucson, AZ, USA.
Jesse M CedarbaumCoeruleus Clinical Sciences LLC, Woodbridge, CT, USA.
E Ray DorseyCenter for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
Diane StephensonCritical Path Institute, Tucson, AZ, USA.
Jamie L AdamsCenter for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdoption of new digital measures for clinical trials and practice has been hindered by lack of actionable qualitative data demonstrating relevance of these metrics to people with Parkinson's disease.

objectiveThis study evaluated of relevance of WATCH-PD digital measures to monitoring meaningful symptoms and impacts of early Parkinson's disease from the patient perspective.

methodsParticipants with early Parkinson's disease (N = 40) completed surveys and 1:1 online-interviews. Interviews combined: 1) symptom mapping to delineate meaningful symptoms/impacts of disease, 2) cognitive interviewing to assess content validity of digital measures, and 3) mapping of digital measures back to personal symptoms to assess relevance from the patient perspective. Content analysis and descriptive techniques were used to analyze data.

resultsParticipants perceived mapping as deeply engaging, with 39/40 reporting improved ability to communicate important symptoms and relevance of measures. Most measures (9/10) were rated relevant by both cognitive interviewing (70-92.5%) and mapping (80-100%). Two measures related to actively bothersome symptoms for more than 80% of participants (Tremor, Shape rotation). Tasks were generally deemed relevant if they met three participant context criteria: 1) understanding what the task measured, 2) believing it targeted an important symptom of PD (past, present, or future), and 3) believing the task was a good test of that important symptom. Participants did not require that a task relate to active symptoms or "real" life to be relevant.

conclusionDigital measures of tremor and hand dexterity were rated most relevant in early PD. Use of mapping enabled precise quantification of qualitative data for more rigorous evaluation of new measures.

Indexed as

Parkinson DiseaseHumansTremordigital health technologymeaningfulnessParkinson’s diseasepatient experience dataqualitative

Identifiers

PMID37212073
PMCPMC10357170

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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.