Colorectal and esophageal adenomas and early carcinomas
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: Planned interventional endoscopic procedure: ERCP (Endoscopic Retrograde Cholangiopancreatography), EUS-FNB (Endosonographic Fine Needle Biopsy), Polypectomy (=1 cm), EMR (Endoscopic Mucosal Resection), ESD (Endoscopic Submucosal Dissection), Esophageal Dilatation/Bouging, other interventional procedures at the discretion of the PI Procedure in the outpatient/inpatient border area (i.e. the decision to hospitalize is clinically relevant) Capacity to consent: Patient is capable of consent and can give informed consent Language skills: sufficient knowledge of the german language for use of the patient portal (or availability of a translator)
Exclusion criteria
Exclusion criteria: Emergency procedures: Acute emergencies in which hospitalization is already certain before the procedure Planned hospitalization: Patients for whom hospitalization has already been determined for other reasons (e.g. other illness, planned further procedure) Lack of ability to consent: Patients who are unable to give consent (e.g. dementia, acute confusion) Refusal to participate in the study: Patient refuses to participate Technical impossibility: Patient cannot use patient portal (e.g. no smartphone/computer, no internet connection) and no support available Withdrawal of consent: Patient withdraws consent Protocol Violation: Major protocol violation Security Concerns: Unexpected security issues
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Goal 1: Technical feasibility of multi-source data integration Definition: Successful integration and completeness of data captured from all four data sources. Operationalization: - HIS data: =95% completeness (automatic transmission) - Patient portal: =80% completeness (patient-reported) - Endoscopy report: =98% completeness (doctor-documented) - Structured doctor assessment: =95% completeness (doctor-rated) Success criterion: All four data sources reach their target values in phase 3. Measurement time: Continuously during phases 2 and 3 Goal 2: User-friendliness (Usability) Definition: The AHEAD frontend is intuitive, efficient and acceptable to end users (doctors, nurses). Operationalization: - System Usability Scale (SUS): Average score =70 (corresponds to “good” to “excellent”) - Time required: data entry per patient <10 minutes - Acceptance rate: =80% of users would want to use the system regularly Success criterion: SUS =70 and time required <10 minutes in phase 3. Measurement time: End of phase 3 (SUS questionnaire, structured interviews) Goal 3: Data quality and reliability Definition: The data collected is consistent, concordant and reliable. Operationalization: - Concordance HIS ? physician assessment: Cohen’s Kappa (?) =0.7 for categorical variables - Concordance self-assessment ? physician assessment: ? =0.6 (lower threshold due to different perspectives) - Intra-rater reliability: ICC =0.8 (substudy with 10% re-assessment) Success criterion: concordance target values achieved in phase 3. Measurement time: Continuously during phases 2 and 3 Goal 4: quantification of the Hawthorne effect Definition: Measuring behavior change solely through structured data collection (without data aggregation/visualization). Operationalization: - Comparison of the hospitalization rate in phase 1 (baseline) vs. phase 2 (structured recording without visualization) - Effect size (Cohen’s h) with 95% confidence interval Success criterion: Hawthorne effect quantified (rega | — |
Secondary
| Measure | Time frame |
|---|---|
| Secondary goal 1: Technical system performance Metrics: - System uptime: =99% - Error rate: <1% - Response time: <2 sec. (normal load), <5 sec. (peak load) Secondary goal 2: Exploratory clinical outcomes Metrics (purely descriptive, no hypothesis testing): - Hospitalization rates in phases 1, 2, 3 (with 95% CI) - Length of stay (median, IQR) - Complication rates (safety monitoring) - Resource utilization (exploratory) Secondary goal 3: Subgroup analyzes (exploratory) Subgroups: - by procedure type (ERCP, EUS, polypectomy, esophageal dilatation/bougienage, etc.) - by ASA-classification (I/II vs. III/IV) - by procedure complexity (ASGE grade) - by time of day (morning vs. afternoon) Secondary goal 4: Learning curve analysis Question: Does user-friendliness and data quality improve over time (learning effect)? Analysis: Time series analysis of SUS scores, time expenditure, completion rates over phase 3 (12 weeks) Secondary goal 5: Classifier pre-training evaluation Question: How well does the classifier pre-trained with retrospective data perform on the pilot study data? Metrics: - Sensitivity, specificity for predicting hospitalization - Area Under the Curve (AUC) - Calibration (Calibration Plot) Note: This is a purely exploratory analysis in preparation for the definitive study. | — |
Countries
Germany
Contacts
Universitätsmedizin Mannheim, II. medizinische Klinik