Clinical trial · Observational
Key Performance Indicators for the Assessment of NSCLC Patients Pathway
Key Performance Indicators for the Assessment of Diagnostic and Therapeutic Pathway of NSCLC Patients: a Multicenter Study (KIND NSCLC)
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This is a multicenter, observational study involving a retrospective collection of data. A total of potential 16 key performance indicators (KPIs) had been developed from a panel of experts (clinicians, IT experts, etc..) to investigate the appropriateness of care in NSCLC patients, with a special focus on the use of immunotherapy. The eligible population and data will be gathered retrospectively using an algorithm. Administrative databases will be used as unique resource: to identify target population and to collect patient's data with which measure KPIs.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Non Small Cell Lung Cancer | Lung Non-Small Cell Carcinoma | ALIAS | 0.90 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Patient pathway | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- Key Performance indicators
- timeFrame
- six months
- description
- To measure a set of potential indicators (KPIs) derived from administrative database in order to investigate the appropriateness and quality of NSCLC care among participating sites.
Secondary outcomes (1)
- measure
- Algorithm evaluatation
- timeFrame
- two month
- description
- The secondary outcome is to develop and evaluate an algorithm to identify the eligible population of the study from administrative databases against to a clinical database. Algorithm will be used to identify study eligible patients and measure KPIs from hospital administrative databases.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: \- patients identified from hospital administrative databases of Emilia-Romagna region using a case selection algorithm for identifying Non small cell lung cancer Exclusion Criteria: * patients not residing in Emilia Romagna region (due to the difficulty in obtaining the medical data).
References
Publications (1)
- DERIVEDBalzi W, Roncadori A, Danesi V, Massa I, Manunta S, Gentili N, Delmonte A, Crino L, Altini M. How to discriminate non-small cell lung cancer (NSCLC) cases from an Italian administrative database? A retrospective, secondary data use study for evaluating a novel algorithm performance. BMJ Open. 2021 Sep 24;11(9):e048188. doi: 10.1136/bmjopen-2020-048188. PMID 34561258