Construction, Implementation, and Application of an Auxiliary Diagnostic and Therapeutic System for Degenerative Lumbar Spinal Stenosis Based on Clinical Practice Guidelines

Authors
Category Primary study
Registry of TrialsInternational Traditional Medicine Clinical Trial Registry
Year 2026
INTERVENTION: Experimental Group:PtDA is utilized to generate a treatment plan that best matches the patient's current condition, with basic treatment methods including acupuncture, massage therapy, and oral medications.;Control Group:The control group does not use PtDA and completes treatment by distributing paper‐based intervention materials to both doctors and patients. Their intervention measures are the same as those in the intervention group.; CONDITION: Degenerative lumbar spinal stenosis PRIMARY OUTCOME: Decisional Conflict Scale; SECONDARY OUTCOME: Zurich Claudication questionnaire;Short Form‐12 Health Survey;Chronic Illness Care;Assessment of Willingness to Participate in Shared Decision Making;Qualitative interview data;Adverse Event; INCLUSION CRITERIA: 1. Applicability Assessment (Phase 4) (1) Inclusion criteria for doctors and nurses: Select 8 doctors and 8 nurses who are willing to participate in the study, have different sociodemographic characteristics (age, gender, academic/medical background, different levels of healthcare institutions, different professional backgrounds), and are employed at Beijing University of Chinese Medicine Dongzhimen Hospital, Changping District Longze Garden Community Health Service Center, Tongzhou District Yongshun Community Health Service Center, or Beijing Heshoutang Chinese Medicine Hospital. (2) Inclusion criteria for patients: Each healthcare provider selects 1 DLSS patient who meets the following requirements: different sociodemographic characteristics (gender, education level, different imaging features), aged 18‐65, signs an informed consent form, and is willing to participate in an interview. 2. Feasibility Trial and Post‐Trial Interviews (Phase 5, Phase 6
Epistemonikos ID: d75333fa1e1e442e5409697983121433910b642d
First added on: Aug 10, 2026