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Optimisation of chemotherapy prescription and preparation in an ambulatory unit: Validation of the OPTIMA program
Author(s) -
Dos Santos Mélanie,
Lequesne Justine,
Dugué Audrey Emmanuelle,
Grellard JeanMichel,
Ory Céline,
Jaffré Sébastien,
Lavergne Kelly,
Lelaidier Anaïs,
Laroche Lucie,
Diva Fabienne,
Delcambre Corinne,
Galais MariePierre,
Clarisse Bénédicte,
Faveyrial Audrey
Publication year - 2019
Publication title -
european journal of cancer care
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.849
H-Index - 67
eISSN - 1365-2354
pISSN - 0961-5423
DOI - 10.1111/ecc.13015
Subject(s) - medicine , medical prescription , ambulatory , phone , patient satisfaction , regimen , emergency medicine , family medicine , surgery , nursing , linguistics , philosophy
Objective We implemented the two‐step OPTIMA program to anticipate chemotherapy prescription which aims to assess the discrepancy rate between anticipated and real prescription and its impact on waiting time and quality of care. Methods This prospective study included cancer patients receiving any intravenous chemotherapy. The OPTIMA program consists in a nurse phone call and a blood sample two days before the planned treatment. Collected information and biological results were used by a physician to issue a non‐effective (step 1) or effective (step 2) anticipated prescription the day before the consultation. The real prescription was given as usual by another physician on the day of the consultation. Waiting time was collected, and patients’ satisfaction with care was assessed with the OUT‐PATSAT35 questionnaire. Results Respectively, 540 and 979 consultations (283 and 294 patients) were analysed in both steps. The discrepancy rate was 8.7% (step 1). In routine practice, the OPTIMA program (step 2) reduced patients’ waiting time (median time 55 vs. 95 min, p < 0.001). A high general care satisfaction score was observed in both steps (80.7% and 80.2%). Conclusions This anticipation program demonstrated the accuracy of chemotherapy prescription, whatever the regimen and cancer site, and its impact on waiting time optimisation.