Evidence map›Paper›PMID 36316575›Full record

ArticlePharmacoEconomics - open2023

Framework for Patient Experience Value Elements in Rare Disease: A Case Study Demonstrating the Applicability of Combined Qualitative and Quantitative Methods.

R Brett McQueen, Nicholas D Mendola, Ivett Jakab, Jeffrey Bennett, Kavita V Nair, Bertalan Németh, András Inotai, Zoltán Kaló

Open access · goldAbstract read
In one paragraph

Article in PharmacoEconomics - open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

8 authors at 3 institutions in 2 countries.

R Brett McQueenSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Mail Stop C238, 12850 E. Montview Blvd., Aurora, CO, 80045, USA. robert.mcqueen@cuanschutz.edu.ORCID http://orcid.org/0000-0002-4302-2678
Nicholas D MendolaSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Mail Stop C238, 12850 E. Montview Blvd., Aurora, CO, 80045, USA.
Ivett JakabSyreon Research Institute, Budapest, Hungary.
Jeffrey BennettSchool of Medicine, Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Kavita V NairSkaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Mail Stop C238, 12850 E. Montview Blvd., Aurora, CO, 80045, USA.
Bertalan NémethSyreon Research Institute, Budapest, Hungary.
András InotaiSyreon Research Institute, Budapest, Hungary.
Zoltán KalóSyreon Research Institute, Budapest, Hungary.
University of Colorado Anschutz Medical Campus · USSemmelweis University · HUSyreon Research Institute (Hungary) · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveSeveral novel methods have been suggested to extend a conventional value assessment to capture a more comprehensive perspective of value from a patient perspective. The objective of this research was to demonstrate a framework for implementing a combined qualitative and quantitative method to elicit and prioritize patient experience value elements in rare diseases. Neuromyelitis optica spectrum disorder was used as a case study.

methodsThe method for eliciting and prioritizing patient experience value elements involved a three-step process: (1) collecting potential patient experience value elements from existing literature sources followed by deliberation by a multi-stakeholder research team; (2) a pre-workshop webinar and survey to identify additional patient-reported value elements; and (3) a workshop to discuss, prioritize the value elements using a swing weighting method. Outcomes were prioritized value elements with normalized weights for patients considering a treatment for neuromyelitis optica spectrum disorder.

resultsA literature review and deliberation resulted in the following initial value elements: ability to reach important personal milestones, patient's financial burden, value of hope/balance or timing of risks and benefits, Uncertainty about long-term benefits and safety of the treatment, Patient empowerment through therapeutic advancement and technology, Caregiver/family's financial burden, patient experience related to treatment regimen, Therapeutic options, and Caregiver/family's quality of life. Eight patients with neuromyelitis optica spectrum disorder participated in the case study. In the online survey, participants found the nine proposed patient experience value elements both understandable and important with no additions. During the workshop, 'Uncertainty about long-term benefits and safety,' 'Patient experience related to treatment regimen,' and 'Patient's financial burden' were found to be the most important patient experience value elements, with a respective weight of 25%, 19.2%, and 14.4% (out of total 100%).

conclusionsThis case study provides a framework for eliciting and prioritizing patient experience value elements using direct patient input. Although elements/weights may differ by disease, and even in neuromyelitis optica spectrum disorder, additional research is needed, value frameworks, researchers, and manufacturers can use this practical method to generate patient experience value elements and evaluate their impact on treatment selection.

Identifiers

PMID36316575
PMCPMC10043060
OpenAlexW4307747633

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.