{"doi":"10.1093/jncics/pkae002","title":"Patient-targeted education (ePRO-E) to increase ePRO intent within an Alliance clinical trial (A221805-SI1)","abstract":"BACKGROUND: The Patient Cloud ePRO app was adopted by the National Cancer Institute National Clinical Trials Network (NCTN) to facilitate capturing electronic patient-reported (ePRO) outcome data, but use has been low. The study objectives were to test whether a patient-targeted ePRO educational resource (ePRO-E) would increase ePRO intent (number of users) and improve data quality (high quality: ≥80% of the required surveys submitted) within an ongoing NCTN study. METHODS: The ePRO-E intervention, a patient-targeted educational resource (written material and 6-minute animated YouTube video), was designed to address ePRO barriers. ePRO intent and data quality were compared between 2 groups (N = 69): a historical control group and a prospectively recruited intervention group exposed to ePRO-E. Covariates included technology attitudes, age, sex, education, socioeconomic status, and comorbidity. RESULTS: Intervention group ePRO intent (78.8%) was statistically significantly higher than historical control group intent (47.1%) (P = .03). Patients choosing ePRO versus paper surveys had more positive and higher technology attitudes scores (P = .03). The odds of choosing ePRO were 4.7 times higher (95% Confidence Interval [CI] = 1.2 to 17.8) (P = .02) among intervention group patients and 5.2 times higher (95% CI = 1.3 to 21.6) (P = .02) among patients with high technology attitudes scores, after controlling for covariates. However, the 80% submission rate (percentage submitting ≥80% of required surveys) in the ePRO group (30.6%) was statistically significantly lower than in the paper group (57.9%) (P = .05). CONCLUSIONS: ePRO-E exposure increased ePRO intent. High technology attitudes scores were associated with ePRO selection. Since the ePRO survey submission rate was low, additional strategies are needed to promote high-quality data submission.","journal":"JNCI Cancer Spectrum","year":2024,"id":479268,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9506,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":745878,"name":"Youmin Cho","orcid":"0000-0003-1381-652X","position":1,"is_corresponding":false},{"id":553347,"name":"Shauna L. Hillman","orcid":null,"position":2,"is_corresponding":false},{"id":369223,"name":"Mary R Scott","orcid":"0000-0001-9778-0442","position":3,"is_corresponding":false},{"id":1127432,"name":"Elizabeth Harlos","orcid":null,"position":4,"is_corresponding":false},{"id":940270,"name":"Rachel Wills","orcid":"0000-0002-2111-4248","position":5,"is_corresponding":false},{"id":107111,"name":"Charles L. Loprinzi","orcid":"0000-0001-8044-5752","position":6,"is_corresponding":false},{"id":732580,"name":"Christina Wilson","orcid":"0000-0002-8939-8670","position":7,"is_corresponding":false},{"id":581432,"name":"David M. Zahrieh","orcid":"0000-0002-5106-1730","position":8,"is_corresponding":false},{"id":83953,"name":"Elizabeth Smith","orcid":"0000-0002-6519-6636","position":0,"is_corresponding":true}],"reference_count":19,"raw_metadata":null,"created_at":"2026-07-19T02:06:50.355747Z","pmid":"38230706","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":[]}