Evidence map›Paper›PMID 41854303›Full record

ArticleJournal of Parkinson's disease2026

The Parkinson's Disease-Health Index: A novel, disease-specific patient-reported outcome measure.

Jamison Seabury, Jennifer Weinstein, Spencer Rosero, Anika Varma, Charlotte Engebrecht, John Heatwole, Christine Zizzi, Nuran Dilek, Abigail Arky, E Ray Dorsey and 1 more

Abstract read
In one paragraph

Article in Journal of Parkinson's disease, 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. Article
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

11 authors.

Jamison SeaburyUniversity of Rochester, Center for Health + Technology, Rochester, NY, USA.
Jennifer WeinsteinUniversity of Rochester, Center for Health + Technology, Rochester, NY, USA.
Spencer RoseroUniversity of Rochester, Center for Health + Technology, Rochester, NY, USA.
Anika VarmaUniversity of Rochester, Center for Health + Technology, Rochester, NY, USA.
Charlotte EngebrechtUniversity of Rochester, Center for Health + Technology, Rochester, NY, USA.ORCID 0009-0002-2982-8197
John HeatwoleCornell University, The College of Agriculture and Life Sciences, Ithaca, NY, USA.ORCID 0009-0009-7755-3336
Christine ZizziUniversity of Rochester, Center for Health + Technology, Rochester, NY, USA.
Nuran DilekUniversity of Rochester, Department of Biostatistics and Neurology, Rochester, NY, USA.ORCID 0000-0001-5800-9022
Abigail ArkyDes Moines University College of Osteopathic Medicine, Des Moines, IA, USA.
E Ray DorseyUniversity of Rochester, Center for Health + Technology, Rochester, NY, USA.
Chad HeatwoleUniversity of Rochester, Center for Health + Technology, Rochester, NY, USA.ORCID 0000-0002-2900-6612

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundIn anticipation of future clinical trials involving individuals with Parkinson's disease (PD), it is important to have fully validated, clinically-relevant, responsive, disease-specific patient-reported outcome measures that are capable of serially measuring how an individual with PD feels and functions.ObjectiveTo develop and validate a disease-specific patient-reported outcome measure for PD that is sensitive in detecting clinically meaningful changes in multifactorial disease burden during clinical trials.MethodsWe conducted qualitative interviews and a cross-sectional study to identify the most important symptoms to individuals with PD. Symptom questions with the highest frequency and relative importance to the cross-sectional study cohort were selected for potential inclusion in the Parkinson's Disease-Health Index (PD-HI). The PD-HI was evaluated and refined through: 1) Qualitative beta interviews; 2) Test-retest reliability assessments; 3) Internal consistency analysis; and 4) Cross-sectional subgroup analysis of PD-HI subscale scores.ResultsTwenty individuals with PD participated in initial qualitative interviews and 404 individuals with PD participated in the cross-sectional study. Symptom questions representing 13 symptomatic themes of PD health were selected for inclusion in the PD-HI. Beta interview participants found the PD-HI to be comprehensive, relevant, and easy to use. The PD-HI demonstrated high test-retest reliability (ICC = 0.90) and internal consistency (α= 0.99). PD-HI total and subscale scores successfully distinguished between subgroups of participants with varying disease severity.ConclusionsInitial evaluation of the PD-HI demonstrates its content validity, construct validity, usability, and test-retest reliability as a patient-reported outcome tool for potential use in PD clinical trials.

Indexed as

Parkinson DiseasePatient Reported Outcome MeasuresAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedReproducibility of ResultsSeverity of Illness IndexSymptom Burdenparkinson's diseasepatient reported outcome measuresquality of lifesurveys and questionnaires

Identifiers

PMID41854303
PMCPMC13347597

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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.