Healthcare (Sep 2021)

Patients’ Satisfaction by SmileIn<sup>TM</sup> Totems in Radiotherapy: A Two-Year Mono-Institutional Experience

  • Giuditta Chiloiro,
  • Angela Romano,
  • Andrea D’Aviero,
  • Loredana Dinapoli,
  • Elisa Zane,
  • Angela Tenore,
  • Luca Boldrini,
  • Mario Balducci,
  • Maria Antonietta Gambacorta,
  • Gian Carlo Mattiucci,
  • Pierluigi Malavasi,
  • Alfredo Cesario,
  • Vincenzo Valentini

DOI
https://doi.org/10.3390/healthcare9101268
Journal volume & issue
Vol. 9, no. 10
p. 1268

Abstract

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Background: Patient’s satisfaction is recognized as an indicator to monitor quality in healthcare services. Patient-reported experience measures (PREMs) may contribute to create a benchmark of hospital performance by assessing quality and safety in cancer care. Methods: The areas of interest assessed were: patient-centric welcome perception (PCWP), punctuality, professionalism and comfort using the Lean Six Sigma (LSS) methodology. The RAMSI (Radioterapia Amica Mia SmileINTM (SI) My Friend RadiotherapySI), project provided for the placement of SI totems with four push buttons using HappyOrNot technology in a high-volume radiation oncology (RO) department. The SI technology was implemented in the RO department of the Fondazione Policlinico Universitario A. Gemelli IRCCS. SI totems were installed in different areas of the department. The SI Experience Index was collected, analyzed and compared. Weekly and monthly reports were created showing hourly, daily and overall trends. Results: From October 2017 to November 2019, a total of 42,755 votes were recorded: 8687, 10,431, 18,628 and 5009 feedback items were obtained for PCWP, professionalism, punctuality, and comfort, respectively. All areas obtained a SI-approved rate ≥ 8.0. Conclusions: The implementation of the RAMSI system proved to be doable according to the large amount of feedback items collected in a high-volume clinical department. The application of the LSS methodology led to specific corrective actions such as modification of the call-in-clinic system during operations planning. In order to provide healthcare optimization, a multicentric and multispecialty network should be defined in order to set up a benchmark.

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