NCT04676321

Brief Summary

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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
430

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Oct 2020

Shorter than P25 for all trials

Geographic Reach
1 country

3 active sites

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

October 1, 2020

Completed
14 days until next milestone

Primary Completion

Last participant's last visit for primary outcome

October 15, 2020

Completed
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

November 15, 2020

Completed
1 month until next milestone

First Submitted

Initial submission to the registry

December 15, 2020

Completed
6 days until next milestone

First Posted

Study publicly available on registry

December 21, 2020

Completed
Last Updated

December 21, 2020

Status Verified

December 1, 2020

Enrollment Period

14 days

First QC Date

December 15, 2020

Last Update Submit

December 15, 2020

Conditions

Keywords

lung cancerNSCLCAdministrative databasesAlgorithm

Outcome Measures

Primary Outcomes (1)

  • Key Performance indicators

    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.

    six months

Secondary Outcomes (1)

  • Algorithm evaluatation

    two month

Interventions

Investigation on the appropriateness and quality of NSCLC care among participating sites

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

The study population consisted of all adult patients (aged ≥ 18 years) residing in Emilia-Romagna region, identified in the Hospital discharge card, who has been discharged in any one of the participating sites (hospitals of Modena, Reggio-Emilia and Forlì-Cesena provinces) with a newly diagnosis of Non small cell lung cancer between January and December 2017.

You may qualify if:

  • \- patients identified from hospital administrative databases of Emilia-Romagna region using a case selection algorithm for identifying Non small cell lung cancer

You may not qualify if:

  • patients not residing in Emilia Romagna region (due to the difficulty in obtaining the medical data).

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (3)

IRST

Meldola, Forlì-Cesena, 47014, Italy

Location

IRCCS Arcispedale S.Maria Nuova

Reggio Emilia, RE, 42123, Italy

Location

Policlinico of Modena

Modena, 41125, Italy

Location

Related Publications (1)

  • Balzi 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.

MeSH Terms

Conditions

Carcinoma, Non-Small-Cell LungLung Neoplasms

Condition Hierarchy (Ancestors)

Carcinoma, BronchogenicBronchial NeoplasmsRespiratory Tract NeoplasmsThoracic NeoplasmsNeoplasms by SiteNeoplasmsLung DiseasesRespiratory Tract Diseases

Study Officials

  • Mattia Altini, Master

    IRST

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Biostatician

Study Record Dates

First Submitted

December 15, 2020

First Posted

December 21, 2020

Study Start

October 1, 2020

Primary Completion

October 15, 2020

Study Completion

November 15, 2020

Last Updated

December 21, 2020

Record last verified: 2020-12

Locations