{"doi":"10.1200/cci.22.00132","title":"Remote Activity Monitoring and Electronic Patient-Reported Outcomes Collection During Radiotherapy for Head and Neck Cancer: A Pilot Study","abstract":"PURPOSE Modern wearable devices provide objective and continuous activity data that could be leveraged to enhance cancer care. We prospectively studied the feasibility of monitoring physical activity using a commercial wearable device and collecting electronic patient-reported outcomes (ePROs) during radiotherapy (RT) for head and neck cancer (HNC). METHODS Patients planned for a course of external beam RT with curative intent for HNC were instructed to use a commercial fitness tracker throughout the RT course. During weekly clinic visits, physician-scored adverse events were recorded during using Common Terminology Criteria for Adverse Events version 4.0, and patients completed ePRO surveys using a clinic tablet or computer. Feasibility of activity monitoring was defined as collection of step data for at least 80% of the RT course for at least 80% of patients. Exploratory analyses described associations between step counts, ePROs, and clinical events. RESULTS Twenty-nine patients with HNC were enrolled and had analyzable data. Overall, step data were recorded on 70% of the days during patients' RT courses, and there were only 11 patients (38%) for whom step data were collected on at least 80% of days during RT. Mixed effects linear regression models demonstrated declines in daily step counts and worsening of most PROs during RT. Cox proportional hazards models revealed a potential association between high daily step counts and both reduced risk of feeding tube placement (hazard ratio [HR], 0.87 per 1,000 steps, P < .001) and reduced risk of hospitalization (HR, 0.60 per 1,000 steps, P < .001). CONCLUSION We did not achieve our feasibility end point, suggesting that rigorous workflows are required to achieve continuous activity monitoring during RT. Although limited by a modest sample size, our findings are consistent with previous reports indicating that wearable device data can help identify patients who are at risk for unplanned hospitalization.","journal":"JCO Clinical Cancer Informatics","year":2023,"id":372577,"datarank":0.26876392038420827,"base_score":1.791759469228055,"endowment":1.791759469228055,"self_citation_contribution":0.26876392038420827,"citation_network_contribution":0.0,"self_endowment_contribution":0.26876392038420827,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":5,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.6801,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":307642,"name":"Voichita Bar‐Ad","orcid":"0000-0001-6529-0406","position":1,"is_corresponding":false},{"id":414610,"name":"Christian Fernandez","orcid":"0000-0002-6145-8889","position":2,"is_corresponding":false},{"id":1133614,"name":"Christine Rakowski","orcid":null,"position":3,"is_corresponding":false},{"id":326682,"name":"Benjamin E. Leiby","orcid":"0000-0003-0761-8383","position":4,"is_corresponding":false},{"id":1027247,"name":"Gerard D. Hoeltzel","orcid":"0000-0001-7267-6390","position":5,"is_corresponding":false},{"id":1133188,"name":"Anna Sung","orcid":"0000-0002-0801-3119","position":6,"is_corresponding":false},{"id":1133615,"name":"Nida Zubair","orcid":null,"position":7,"is_corresponding":false},{"id":1133189,"name":"Camilo Henao","orcid":"0009-0005-0471-8620","position":8,"is_corresponding":false},{"id":286338,"name":"Adam P. Dicker","orcid":"0000-0003-0733-3337","position":9,"is_corresponding":false},{"id":383175,"name":"Nitin Ohri","orcid":"0000-0001-9593-513X","position":0,"is_corresponding":true}],"reference_count":22,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T01:15:58.101083Z","pmid":"37071027","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}