Evidence map›Paper›PMID 39408161›Full record

ArticleHealthcare (Basel, Switzerland)2024

Adapting and Validating a Patient Prompt List to Assist Localized Prostate Cancer Patients with Treatment Decision Making.

Levi Ross, Linda Collins, Florida Uzoaru, Michael A Preston

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Levi RossDepartment of Kinesiology and Health Sciences, Southeastern Louisiana University, Hammond, LA 70402, USA.ORCID 0000-0002-3833-0836
Linda CollinsDepartment of Health and Human Sciences, Southeastern Louisiana University, Hammond, LA 70402, USA.ORCID 0000-0002-9826-5749
Florida UzoaruDepartment of Health and Human Sciences, Southeastern Louisiana University, Hammond, LA 70402, USA.
Michael A PrestonDepartment of Pharmacy Practice, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0003-1415-4345

Funding

Community-Based Research to Improve Prostate Cancer Patient Treatment DecisionsK01CA148889 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI ROSS, LEVI A · 2010 to 2014
$706k
NCI NIH HHS K01-CA148889
6 · The paper itself

Abstract

BACKGROUND/

objectivesEffective communication between patients and healthcare providers is essential for informed decision making in cancer care. Communication aids that can help prostate cancer patients optimize their involvement in treatment care planning are not widely used in the U.S. This research details the adaptation and validation process of a patient prompt list for localized prostate cancer patients undergoing treatment decisions.

methodsThis process occurred in three steps: Step 1 involved gathering usable questions from the literature; in Step 2, we evaluated the tool's content via expert (N = 6) feedback; and in Step 3, we assessed the usefulness of the prompt list with patients (N = 30).

resultsSixty percent of candidate questions (20/33) were retained for inclusion after achieving acceptable item-level content validity index (range: 0.83-1.00) and scale-level content validity index (S-CVI = 0.96) scores. The final 20 questions were classified into 5 domains (1: Treatment Options and Information, 2: Side Effects, Risks, and Recovery, 3: Emotional and Social Support, 4: Logistical and Practical Concerns, and 5: Future Health Considerations) through a card sorting exercise with a subset of patients (N = 3) and providers (N = 2). Most patients rated the prompt list as "useful or very useful" both to themselves (80%, N = 24) and to other men presenting with prostate cancer (83%, N = 25).

conclusionsThe participatory process used to develop and validate the prompt list offers insights for the development of similar tools.

Indexed as

content validitypatient prompt listprostate cancer

Identifiers

PMID39408161
PMCPMC11477444

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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.