Preference-oriented quality of life monitoring and linkage with clinical registry data: study protocol of a randomised clinical trial in patients with lung cancer (LePaLuMo Study)

  • 0Tumor Center Regensburg, Center of Quality Management and Health Services Research, University of Regensburg, Am BioPark 9, 93053, Regensburg, Germany.

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Summary

This summary is machine-generated.

This study evaluated an electronic quality of life (QoL) monitoring system for lung cancer patients. The system aims to improve QoL by providing real-time feedback to patients and physicians, potentially reducing the need for QoL therapy.

Area Of Science

  • Oncology
  • Health Services Research
  • Digital Health

Background

  • Quality of Life (QoL) monitoring in routine cancer care remains a challenge.
  • An effective QoL monitoring system with tailored therapies has been developed and validated in breast and colorectal cancer patients.
  • Adaptations for broader use include electronic QoL measurement and patient/physician preference integration.

Purpose Of The Study

  • To investigate the effectiveness of an adapted electronic QoL monitoring system in lung cancer patients.
  • To assess if the system reduces the need for QoL therapy compared to standard care.
  • To evaluate the system's usability across different healthcare settings and regions.

Main Methods

  • A 2-arm, prospective, pragmatic, multicentre randomized clinical trial.
  • Lung cancer patients assessed using electronic EORTC QLQ-C30 and QLQ-LC29 questionnaires.
  • Intervention group received real-time QoL feedback linked to a multi-professional network; control group did not.

Main Results

  • The primary endpoint is the proportion of patients needing QoL therapy at 6 months post-entry.
  • QoL data linked with the Bavarian Cancer Registry for analysis.
  • Investigators hypothesize a lower proportion of patients needing QoL therapy in the intervention group.

Conclusions

  • This is the first study to assess an adapted QoL monitoring system incorporating patient and physician preferences.
  • The system demonstrates high generalizability by including inpatient/outpatient care and multiple regions.
  • Findings will inform the broader implementation of QoL monitoring in lung cancer care.

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