Evidence map›Paper›PMID 37337064›Full record

ArticleTherapeutic innovation & regulatory science2023

Benchmarking Patient Engagement Capabilities and Preparedness of Drug Development Sponsors.

Jennifer Y Kim, Maria Paula Bautista Acelas, Courtney A Granville, Kenneth Getz

Abstract read
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In one paragraph

Article in Therapeutic innovation & regulatory science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Jennifer Y KimTufts Center for the Study of Drug Development, Tufts University School of Medicine, 145 Harrison Ave, Boston, MA, 02111, USA. Jennifer_y.kim@tufts.edu.ORCID 0000-0003-3270-9105
Maria Paula Bautista AcelasDrug Information Association, Washington, DC, USA.
Courtney A GranvilleDrug Information Association, Washington, DC, USA.
Kenneth GetzTufts Center for the Study of Drug Development, Tufts University School of Medicine, 145 Harrison Ave, Boston, MA, 02111, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Consistent implementation and measurement of patient engagement initiatives across the industry have remained aspirational and elusive despite strong interest in adopting patient-centric approaches. One factor contributing to this inertia stems from a lack of standardized implementation of patient engagement activities, which varies widely from company to company, making it difficult to track and measure. Further, empirical evidence mapping the impact of patient engagement capabilities on clinical research outcomes has remained sparse. To address this gap, the Drug Information Association (DIA) and Tufts Center for the Study of Drug Development (Tufts CSDD) at the Tufts University School of Medicine developed and administered an assessment tool that companies can use to not only evaluate their organization's patient engagement capabilities and implementation preparedness but can also measure the impact of such activities on trial outcomes. Results showed that while most organizations are providing logistical support to increase patient engagement in the form of travel stipends, accommodation, and financial incentives, most are not implementing more involved forms of patient engagement such as gathering patient input through patient input panels or patient steering committees. This paper discusses the process for designing and administering this assessment tool, the results of the assessment, and future implications.

Indexed as

BenchmarkingMedicineDrug DevelopmentHumansPatient ParticipationClinical researchImpactPatient engagementPatient engagement capabilities

Identifiers

What OpenQuestion holds

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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.