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To calculate the incidence rates of postoperative adverse events (moderate and severe) and rehospitalization in patients undergoing thoracic surgery followed in follow-up using a smartphone application.
This is an observational, exploratory, cohort, retrospective study. For this study, data acquired on patients who participated in the trial period of the app will be retrospectively analyzed. Our Operating Unit used the care4today app on a trial basis during the period between March 1 and October 31, 2023, focusing on monitoring the first 30 days after discharge. The app was offered to patients scheduled for thoracic surgery involving access to the pleura. After a few setup questions, the app was activated upon discharge. For the first 15 days it sent daily questions via notification regarding general health status, postoperative pain, respiratory capacity, and resumption of activities. From day 15 to day 30 after discharge, questions were asked every 4 days. All relevant responses were forwarded via e-mail to the clinician in the form of an orange or red alert in relation to lesser or greater severity.
Patients were treated according to clinical practice in accordance with the clinician's judgment and the information in the Data Sheet of each individual product of any concomitant therapies administered according to clinical practice. Informed consent will be collected during follow-ups.
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| Measure | Description | Time Frame |
|---|---|---|
| Adverse event rate | Complications are reported by patients using the mobile phone app. | 30 days after surgery |
| Moderate adverse event rate | Complications are reported by patients using the mobile phone app. | 30 days after surgery |
| Severe adverse event rate | Complications are reported by patients using the mobile phone app. | 30 days after surgery |
| Rehospitalization rate | Rehospitalization rate in the first 30 days from home discharge. | At 30 days from surgery |
| Measure | Description | Time Frame |
|---|---|---|
| Non-response rate to questions asked by the application | Use of the app | Throughout the study period, an average of 30 days |
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Inclusion Criteria:
Exclusion Criteria:
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In the study, the researchers expect to enroll the 96 patients who participated in the trial period of the application.
Considering the 30-day incidence and re-hospitalization rates as sample proportions of 0.5 (most conservative assumption), a numerosity of 96 will be sufficient to estimate the proportions with bilateral 95% confidence intervals of 0.2.
The width of the confidence interval was calculated using PASS 2023, version 23.0.2.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Pietro Bertoglio, MD | Contact | + 051 647 8362 | pietro.bertoglio@ausl.bologna.it |
| Name | Affiliation | Role |
|---|---|---|
| Pietro Bertoglio, MD | IRCCS Azienda Ospedaliero-Universitaria di Bologna | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| IRCCS Azienda Ospedaliero Universitaria di Bologna | Recruiting | Bologna | Emilia-Romagna | 40138 | Italy |
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