Developing a quality evaluation indicator system for lung cancer diagnosis and treatment: a modified Delphi method study

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Authors: Liming Shi, Kailun Fei, Meicen Liu, Chengcheng Zhou, Yang Juan, Jincheng Yang, Jie Wang, Zhijie Wang, Wenjing Yang
Cited by: 0
References: 11

Abstract

OBJECTIVE: To establish a quality evaluation index system for the diagnosis and treatment of lung cancer. METHOD: The Donabedian health assessment model and Delphi method were used to construct an indicator system, and the Analytic Hierarchy Process was used to determine the weights of each level of indicators. RESULT: The final indicator system constructed includes 3 primary indicators: structure, process and outcome, 15 secondary indicators, and 55 tertiary indicators. Structural indicators include staff, regulations, and facilities; Process indicators include diagnosis, multidisciplinary team (MDT), Neoadjuvant therapy, surgical treatment, adjuvant treatment, radiation therapy, systemic therapy, patient follow-up and patient-centered; Outcome indicators include effectiveness, safety and timeliness. Of the two rounds of Delphi experts consulting, the Expert Enthusiasm Coefficient were respectively 100.0% and 96.15%, the Expert Authority Coefficient were respectively 0.818 and 0.825, and Expert Coordination Coefficient was between 0.476 ~ 0.748. CONCLUSION: The quality evaluation indicator system of lung cancer has high credibility and can be used as a tool for evaluating the quality of lung cancer care.

Fields of Study & Subjects

Lung Cancer Diagnosis and Treatment Delphi Technique in Research Lung Cancer Treatments and Mutations

Publication details

Journal / source
BMC Cancer
Publisher
Springer Science and Business Media LLC
Volume
26
Issue
1
Publication date
16 June 2026
Language
EN