The M-PART approach harnesses the remote data collection capabilities of MyCap to facilitate remote collection or data including but not limited to toxicity assessments, quality of life surveys, and patient-provided photographs of the skin in the treated area

Participants will undergo assessments at baseline (prior to radiation therapy start), weekly during and after radiation therapy until 1-month post-radiation therapy. Medical history will be collected at baseline including primary cancer site, HPV status (if oropharyngeal cancer primary), laterality, TNM classification, stage, surgical resection prior to radiation therapy, weight, body mass index and patient self-reported Fitzpatrick skin phototype.

Participant satisfaction, perceptions and preferences with using M-PART will be discussed.

The number of scheduled patient-submitted photographs (submitted through MyCap as part of the scheduled/required assessments) that are evaluable (if the central reviewer is able to provide a radiation dermatitis grade) in at least two different ways. First, in the most straightforward calculation, investigators will use as the denominator the total number of patient-submitted photographs that were scheduled, with the numerator being the number of photographs that are able to be graded for radiation dermatitis by a central reviewer. Second, to examine the possibility of intra-person correlation in evaluable photographs, investigators will compute for each individual patient the proportion of their photographs that were deemed evaluable and examine the distribution of these individual-level proportions in the sample. Finally, we will also carry out the above two calculations considering all photographs (scheduled and interval).

To assess agreement between the three different methods of grading (clinician-rated radiation dermatitis grading, participant-submitted photographs and standardized clinic photographs) investigators will compare two methods at a time in a contingency table and estimate proportion agreeing by focusing on the diagonal where ratings of grade were identical. Investigators will also dichotomize the ordinal grades into grade 2+ yes/no and compute McNemar's test for each dichotomous comparison of ratings. Finally, investigators will also compute measures of sensitivity and specificity regarding grade 2+ yes/no again considering site clinician ratings as the gold standard.

To measure the level of patient engagement in the interval collection of radiation dermatitis outcomes, investigators will estimate the proportion of the total samples who provide any (yes vs no) interval assessment information through MyCap, and will also examine the frequency distribution of the number of such interval assessments provided among the whole sample. Additionally, investigators will make the denominator more specific by utilizing the question on the weekly scheduled patient-reported outcomes form that asks patients if they have noticed the starting or ending of moist desquamation in the interval between clinical visits, and examine what proportion of patients who answer yes on this question sent in interval information (pictures, patient-reported outcomes) during the relevant interval.

The analysis of patient satisfaction, perceptions and preferences will depend on the measure of collection. For the semi-quantitative survey, investigators will compile simple descriptive statistics showing frequencies and proportions of participants in each category of response to each question.

For the qualitative interviews of patients and staff, investigators will analyze the transcripts using a thematic analysis approach. Trained qualitative researchers will review the interview transcripts and use a combined inductive-deductive approach to develop a codebook of concepts important to patient and staff satisfaction and experience with M-PART. Codes will be applied to data in a multifunctional data management and analysis software, and the codebook will be revised as needed during the analysis to best categorize and interpret the data. All transcripts will be independently coded by two researchers, and coding discrepancies will be discussed and resolved iteratively. Segments of text will be abstracted by code or groups of codes, summarized, and synthesized into themes.