PURPOSE: To improve the care of survivors of head and neck cancer, we developed the Head and Neck Survivorship Tool: Assessment and Recommendations (HN-STAR). HN-STAR is an electronic platform that incorporates patient-reported outcomes into a clinical decision support tool for use at a survivorship visit. Selections in the clinical decision support tool automatically populate a survivorship care plan (SCP). We aimed to refine HN-STAR by eliciting and incorporating feedback on its ease of use and usefulness. METHODS: Human-computer interaction (HCI) experts reviewed HN-STAR using think-aloud testing and the Nielsen Heuristic Checklist. Nurse practitioners (NPs) thought aloud while reviewing the clinical decision support tool and SCP and responded to an interview. Survivors used HN-STAR as part of a routine visit and were interviewed afterward. We analyzed themes from the feedback. We described how we addressed each theme to improve the usability of HN-STAR. RESULTS: Five HCI experts, 10 NPs, and 10 cancer survivors provided complementary usability insight that we categorized into themes of improvements. For ease of use, themes included technical design considerations to enhance user interface, ease of completion of a self-assessment, streamlining text, disruption of the clinic visit, and threshold for symptoms to appear on the SCP. The theme addressing usefulness was efficiency and comprehensiveness of the clinic visit. For each theme, we report revisions to HN-STAR in response to the feedback. CONCLUSION: HCI experts provided key technical design insights into HN-STAR, whereas NPs and survivors provided usability feedback and clinical perspectives. We incorporated the feedback into the preparation for additional testing of HN-STAR. This method can inform and improve the ease of use and usefulness of the survivorship applications.
PURPOSE: To improve the care of survivors of head and neck cancer, we developed the Head and Neck Survivorship Tool: Assessment and Recommendations (HN-STAR). HN-STAR is an electronic platform that incorporates patient-reported outcomes into a clinical decision support tool for use at a survivorship visit. Selections in the clinical decision support tool automatically populate a survivorship care plan (SCP). We aimed to refine HN-STAR by eliciting and incorporating feedback on its ease of use and usefulness. METHODS:Human-computer interaction (HCI) experts reviewed HN-STAR using think-aloud testing and the Nielsen Heuristic Checklist. Nurse practitioners (NPs) thought aloud while reviewing the clinical decision support tool and SCP and responded to an interview. Survivors used HN-STAR as part of a routine visit and were interviewed afterward. We analyzed themes from the feedback. We described how we addressed each theme to improve the usability of HN-STAR. RESULTS: Five HCI experts, 10 NPs, and 10 cancer survivors provided complementary usability insight that we categorized into themes of improvements. For ease of use, themes included technical design considerations to enhance user interface, ease of completion of a self-assessment, streamlining text, disruption of the clinic visit, and threshold for symptoms to appear on the SCP. The theme addressing usefulness was efficiency and comprehensiveness of the clinic visit. For each theme, we report revisions to HN-STAR in response to the feedback. CONCLUSION: HCI experts provided key technical design insights into HN-STAR, whereas NPs and survivors provided usability feedback and clinical perspectives. We incorporated the feedback into the preparation for additional testing of HN-STAR. This method can inform and improve the ease of use and usefulness of the survivorship applications.
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