2019
DOI: 10.1111/ecc.13015
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Optimisation of chemotherapy prescription and preparation in an ambulatory unit: Validation of the OPTIMA program

Abstract: 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 n… Show more

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Cited by 2 publications
(7 citation statements)
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“…This is an important finding given that the purpose of the new procedure was to remove the need for such consultation. Our results confirm the findings of the study by Dos Santos et al [ 29 ], which highlighted high general score of satisfaction with care for patients included in a program aimed to anticipate the prescription of ambulatory CT.…”
Section: Discussionsupporting
confidence: 91%
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“…This is an important finding given that the purpose of the new procedure was to remove the need for such consultation. Our results confirm the findings of the study by Dos Santos et al [ 29 ], which highlighted high general score of satisfaction with care for patients included in a program aimed to anticipate the prescription of ambulatory CT.…”
Section: Discussionsupporting
confidence: 91%
“…The aim of this study was to determine whether advance approval of outpatient CT via phone call the day before CT can optimize healthcare delivery without compromising patient satisfaction with care, as compared to approval via face-to-face consultation on the day of CT. To date, few studies have described and assessed the implementation of a phone-based procedure for CT approval. Indeed, studies have most often demonstrated that phone calls constitute a safe and feasible strategy for the management of CT side effects [ 22 , 23 , 24 , 25 ], but few have examined their safety and feasibility for approval of outpatient CT [ 26 , 27 , 28 ], and only one analyzed the impact of advance CT approval on patient satisfaction [ 29 ].…”
Section: Discussionmentioning
confidence: 99%
“…The minimum CI was 1 (i.e., negligible criticality: acceptable risk situations as they are, corresponding to a low risk) and the maximum CI was 25 (i.e., maximum criticality: risky situations that are not acceptable as they are, requiring analysis and corrective measures to reduce the risk to at least one risk to watch). Criticality was classified as minor (1-5), medium (6)(7)(8)(9)(10)(11)(12)(13)(14)(15) or maximal (16)(17)(18)(19)(20)(21)(22)(23)(24)(25). See Table 1d in Appendix S2 (Supporting Information)…”
Section: The Risk Matrix Approachmentioning
confidence: 99%
“…At the end of the procedure, the RC and CI values were used to calculate the residual criticality index rCI = RC * CI. The residual criticality index was classified as acceptable (1-9), to monitor (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29) or to process . Each score was reviewed twice by the working team.…”
Section: The Risk Matrix Approachmentioning
confidence: 99%
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