Data Analysis The data collected from the interviews will be analyzed using the constant comparative method and organized into themes. This process involves simplifying and categorizing the unique thoughts and descriptions given by the various interviewees' into common themes. This process will allow us to reduce and refer to the complexity of the information into more manageable and readily identifiable classes. These clusters aim to summarize what the significant and meaningful aspects of the data collected and allow for the proper interpretation and presentation of the data. The specific categories that will be used will be developed as an iterative process during the analysis of each interview and a coding scheme will be created. Categories will be added to the coding scheme until no further emerging themes can be identified. This analysis will be carried out by the medical student who conducted the interviews of the healthcare providers. To reduce any potential bias in the interpretation of the interviewees' responses, the interview transcripts will be independently coded by another person on the research team. Discussion between the two following the coding process will be used to reach a consensus on the emerging themes arising from each interview. The modifications made to the interview guide during the evolution of the study will be noted to ensure any discrepancies between information gathered from the initial participants and those near the end of the study.