| Title： | KSUMC Evidence-Based Clinical Practice Guideline for Treatment of Mucositis Secondary to Cancer Therapy |
| Edition： | Adapted |
| Classification： | Standard guideline |
| Field： | Treatment |
| Countries and regions： | Saudi Arabia |
| Guidelines users： | Physicians, Nurses and Clinical Pharmacists from the KSUMC Departments of Nursing and Oncology Center. |
| Evidence classification method： | The description of the methodology for the production of this adapted CPG can be fulfilled by utilizing the ‘King Saud University (KSU) Modified ADAPTE’ method. This CPG formal adaptation method includes three phases (setup, adaptation, and finalization), 9 modules, and 24 steps with modifications in specific steps and tools. Overall, the steps of CPG adaptation includes the selection of the high-priority health topic, formulation of the CPG adaptation working group, identification of health questions using the PIPOH model, searching and selecting the source original CPGs with clear inclusion and exclusion criteria, quality assessment of included source CPGs by using the Appraisal of Guidelines for Research and Evaluation (AGREE) II Instrument, assessment of the currency of the selected source CPG(s), drafting of the adapted CPG, external review and consultation process, finalization of the adapted CPG with a set of implementation tools, declaration of conflicts of interests, and finally a plan for review and update. For further details on the specific modifications in steps and tools, refer to the article: https://doi.org/10.1111/jep.129127 |
| Development unit： | KING SAUD UNIVERSITY MEDICAL CITY (KSUMC) |
| Registration time: | 2023-05-26 |
| Registration number： | PREPARE-2023CN352 |
| Purpose of the guideline: | Guideline Objective(s): by the end of this project of CPG adaptation, the following outcomes will be achieved; 1. Establish multidisciplinary clinical practice guidelines that standardize the clinical practices in preventing and managing cancer therapy-induced oral mucositis and rationalizing the utilization of the relevant information 2. Reduced OM incident rate among the defined patient population by 30 % - 40% |
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