Evidence map›Paper›PMID 42603810›Full record

Articlenpj health systems2026

Challenges to treatment preparedness among lung cancer patients from a healthcare provider perspective: a mixed-method study.

Safa Elkefi, Madhuri Yalamanchili, Steven Feiner, Alicia Matthews

Abstract read
In one paragraph

Article in npj health systems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

Safa ElkefiSchool of Systems & Industrial Engineering, Watson College of Engineering, Binghamton University, New York, NY, USA. selkefi@binghamton.edu.
Madhuri YalamanchiliBroome Oncology, UHS Hospital, New York, NY, USA.
Steven FeinerColumbia Engineering, Columbia University, New York, NY, USA.
Alicia MatthewsSchool of Nursing, Columbia University, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aim to (1) explore the main barriers to treatment faced by lung cancer patients, from a provider's perspective, and (2) the existing support systems in addition to recommended mitigation strategies to enhance the preparedness process. Our study invol ves 50 surveys and 10 interview responses, in a mixed-method design. We conducted descriptive statistics and thematic analysis through a hybrid inductive-deductive approach. We based our analysis on the Optimal Care Pathways framework and Andersen's Behavioral Model. The doctors identified challenges to patient readiness for treatment, such as a lack of knowledge about treatment options, emotional load, logistical barriers (e.g., transportation), and financial pressure. The providers mentioned some initiatives adopted to try to address these challenges, namely in-person instruction, printed materials, and transportation services provided by social workers. However, they emphasized the potential role of accessible digital tools to complement existing educational and support processes. Our results highlight the need to create educational protocols that are standardized yet phase-specific to address the challenges of each treatment phase. These suggestions may improve overall therapy results, decrease delays, and increase patient adherence.

Identifiers

PMID42603810
PMCPMC13477477

What OpenQuestion holds

Textmetadata
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.