| Literature DB >> 35601926 |
Suzanne Wait1, Arturo Alvarez-Rosete1, Tasnime Osama1, Dani Bancroft1, Robin Cornelissen2, Ante Marušić3, Pilar Garrido4, Mariusz Adamek5,6, Jan van Meerbeeck7, Annemiek Snoeckx8, Olivier Leleu9, Ebba Hallersjö Hult10, Sébastien Couraud11, David R Baldwin12.
Abstract
Lung cancer is the leading cause of cancer death in Europe. Screening by means of low-dose computed tomography (LDCT) can shift detection to an earlier stage and reduce lung cancer mortality in high-risk individuals. However, to date, Poland, Croatia, Italy, and Romania are the only European countries to commit to large-scale implementation of targeted LDCT screening. Using a health systems approach, this article evaluates key factors needed to enable the successful implementation of screening programs across Europe. Recent literature on LDCT screening was reviewed for 10 countries (Belgium, Croatia, France, Germany, Italy, the Netherlands, Poland, Spain, Sweden, and United Kingdom) and complemented by 17 semistructured interviews with local experts. Research findings were mapped against a health systems framework adapted for lung cancer screening. The European policy landscape is highly variable, but potential barriers to implementation are similar across countries and consistent with those reported for other cancer screening programs. While consistent quality and safety of screening must be ensured across all screening centers, system factors are also important. These include appropriate data infrastructure, targeted recruitment methods that ensure equity in participation, sufficient capacity and workforce training, full integration of screening with multidisciplinary care pathways, and smoking cessation programs. Stigma and underlying perceptions of lung cancer as a self-inflicted condition are also important considerations. Building on decades of implementation research, governments now have a unique opportunity to establish effective, efficient, and equitable lung cancer screening programs adapted to their health systems, curbing the impact of lung cancer on their populations.Entities:
Keywords: Computed tomography; Early detection; Lung cancer; Policy; Screening
Year: 2022 PMID: 35601926 PMCID: PMC9121320 DOI: 10.1016/j.jtocrr.2022.100329
Source DB: PubMed Journal: JTO Clin Res Rep ISSN: 2666-3643
The Position of 10 Countries Along the Policy Development Process for Lung Cancer Screening in Europe (as of February 2022)
| Stage of policy development | Belgium | Croatia | France | Germany | Italy | Spain | Poland | Sweden | The Netherlands | United Kingdom |
|---|---|---|---|---|---|---|---|---|---|---|
| 1. Recent assessment of evidence (since 2019) | No | No | Yes | Yes | Yes | No | Yes | Yes | Yes | Ongoing |
| 2. Economic evaluation to determine cost-effectiveness | Ongoing | No | No | Yes | Yes | No | Yes | Yes | No | Ongoing |
| 3. Local pilot/feasibility studies | Awaiting funding/approval | No | Ongoing | Ongoing | Ongoing | Small independent studies | Ongoing | Ongoing | Ongoing | Ongoing |
| 4. Commitment to program setup | No | Yes, program ongoing | No | Yes | Yes | No | Yes, program ongoing | In current discussion | No | In current discussion |
| Taskforce currently working on this | Yes | No | No | In progress | No | Yes | In progress | Taskforce currently working on this | No | |
| 6. Organizational setup and implementation of national program | No | Yes | No | No | In progress | No | Yes | No | No | No |
Figure 1The WHO Health Systems Framework adapted for lung cancer screening programs.
Figure 2Cumulative inequalities along the lung cancer care pathway.
Key Considerations for Successful Implementation of Lung Cancer Screening Programs
| System building blocks | Governance | Clear definition of roles between national, regional or local levels in terms of decision-making, organization, and deployment of screening, with centralized monitoring of data and a national protocol guiding all implementation Opportunities for the involvement of relevant professional societies and patient organizations in decision-making on lung cancer screening |
| Information | Comprehensive data management system, covering all aspects of the program Full interoperability between screening program and health data systems to capture outcomes for all screening attendees and ensure regular updating of invitation database Widespread information campaign conveying appropriate, accessible information about screening through all possible channels | |
| Health workforce | Comprehensive workforce planning to ensure sufficient personnel to perform scans and follow-up care Training and accreditation criteria are defined for all imaging personnel and applied in all participating screening centers Full engagement of primary care physicians, with appropriate training in place | |
| Medical technologies | Quality criteria for CT scans and low-dose specifications consistent across all screening centers Identification of the best software to perform a volumetric assessment of nodules Use of AI to aid interpretation of scans | |
| Service delivery | Screening program fully integrated into multidisciplinary care pathways Preemptive addressing of any deficits along the lung cancer pathway that may result in delays in diagnosis and access to care Full integration of lung cancer screening program with an existing smoking cessation program | |
| System goals | Access, coverage, equity, and responsiveness | Optimal selection criteria for screening are defined, to ensure broad outreach to the population at the highest risk of lung cancer, and built into the invitation database The selection of organization model (centralized vs. decentralized) balances the need for consistent quality with ease of access to the population Shared decision-making is built into screening protocol to ensure participants are fully informed of the risks and benefits of screening Targeted outreach and careful messaging to address known barriers to attendance in vulnerable groups, including fears of diagnosis, and stigma surrounding smoking |
| Quality and safety | Systematic quality assurance is built into all screening centers, regardless of location, and quality assurance metrics established from outset of the program A consistent definition of ‘low dose’ adopted across all screening centers | |
| Efficiency | Centralized coordination of the program, building economies of scale with other screening programs, as appropriate Exploration of individualized screening protocols on the basis of biomarkers or other factors to minimize false positives, unnecessary scans, and exploratory procedures (also relevant to “Quality and safety”) | |
| Population health | Monitoring of lung cancer cases detected by the program, and outside of it, stratified by socioeconomic, and demographic data Monitoring of impact on stage distribution and lung cancer mortality through appropriate data linkages to cancer registry |
AI, artificial intelligence; CT, computed tomography.
Figure 3Possible approaches to address barriers to lung cancer screening. Possible approaches to counter each identified barrier are suggested outside the triangle. Please note that some identified barriers could fall across several areas.
Reported Efficiency of Lung Cancer Screening Compared With Other Cancer Screening Programs
| Cancer | Screening method | Number needed to screen to avoid one cancer death | Reported 95% CIs |
|---|---|---|---|
| Colorectal cancer | gFOBT | 377–515 | 377 (249 to 887) |
| Breast cancer | Mammography | 645–1724 | 645 (441 to 1389) |
| Lung cancer | LDCT | 130–320 | .. |
CIs, confidence intervals; gFOBT, guaiac fecal occult blood testing; LDCT, low-dose computed tomography.
Will vary by screening interval selected.
Estimates for colorectal cancer vary by screening test offered: the gFOBT lower estimate reported is 377 (95% CI: 249, 887) and the upper estimate is 515 (95% CI: 373, 867). For flexible sigmoidoscopy, the estimate is 864 (95% CI: 672–1266).
Mammography compared with usual care: lowest estimate is for women aged 70 to 74 years (95% CI: 441, 1389), the highest estimate is 1724 for women aged 40 to 49 years (95% CI: 1176, 3704).
Estimates reported by the Dutch-Belgian Randomized Lung Cancer Screening Trial (NELSON) and U.S. National Lung Screening Trial.,