# Navigating the Complexity of Lung Cancer Surveillance Practices: Qualitative Pilot Study on Provider Perspectives

**Authors:** Jenny M Woo, Sydney Conover, Caroline Gray, Shipra Arya, Julie T Wu

PMC · DOI: 10.2196/80659 · JMIR Cancer · 2026-02-05

## TL;DR

This pilot study explores how healthcare providers make decisions about lung cancer surveillance and their views on using risk stratification tools to guide these decisions.

## Contribution

The study identifies key factors and concerns influencing lung cancer surveillance practices and the potential role of risk stratification tools.

## Key findings

- Providers consider both clinical and nonclinical factors when making surveillance decisions.
- Concerns about the generalizability, accuracy, and validity of risk stratification tools were raised.
- Providers worry about how risk stratification data might affect patient anxiety and adherence to surveillance plans.

## Abstract

Surveillance is noted to be an important part of survivorship to detect recurrence and/or second primary lung cancer (SPLC) at a curable stage. However, current surveillance guidelines remain controversial, and the factors providers consider in clinical decision-making are neither well-defined nor consistently applied.

In order to inform the qualitative protocol for a larger national study, this pilot study aimed to understand the factors that influence lung cancer surveillance and how providers view risk stratification as a potential tool to inform surveillance practices.

Semistructured interviews were conducted between October 2023 and July 2024 with purposively sampled providers involved in treating and surveilling patients with lung cancer from the US-based Palo Alto Veterans Affairs Medical Center and Stanford Medicine and its affiliate clinics. Providers were recruited through both email outreach and in-person invitations. Interviews were transcribed by an external transcription service and analyzed through a qualitative inductive content analysis approach to identify themes.

In total, 11 physicians and 2 advanced practice providers (N=13) participated in interviews. The majority were from medical specialties (n=8, 61.5%), and the average number of years of practice as a provider was 9 years. A total of 3 themes were identified that describe the clinicians’ sentiments about current surveillance practices and how a risk stratification tool could be used in screening for recurrence and/or SPLC. Clinicians consider a variety of clinical and nonclinical factors (category 1: factors that influence clinical decision making) and highlighted limits of a risk stratification tool, including concerns about generalizability, accuracy, and validity (category 2: sentiments toward a hypothetical risk stratification tool). Finally, concerns were raised about how delivering risk stratification data might impact patient anxiety, misinterpretation, and adherence to surveillance plans (category 3: delivery of risk stratification data to patients).

This qualitative analysis highlights the complexity of lung cancer surveillance decision-making and provider concerns about tool accuracy and delivery. While risk stratification tools may support surveillance decisions, their further development must address data quality, accuracy across diverse clinical and nonclinical risk factors, and effective patient-level data delivery. Doing so will facilitate the practical implementation of risk stratification tools to improve surveillance of SPLC and recurrence.

## Linked entities

- **Diseases:** lung cancer (MONDO:0005138)

## Full-text entities

- **Diseases:** lung adenocarcinoma (MESH:D000077192), anxiety (MESH:D001007), heart condition (MESH:D006331), diabetes (MESH:D003920), SPLC (MESH:D016609), Lung Cancer (MESH:D008175), lung nodule (MESH:D003074), Cancer (MESH:D009369), oncology (MESH:D000072716), NSCLC (MESH:D002289)
- **Chemicals:** SPLC (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

20 references — full list in the complete paper: https://tomesphere.com/paper/PMC12875563/full.md

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Source: https://tomesphere.com/paper/PMC12875563