{"doi":"10.1093/nop/npae025","title":"Simulation-based caregiving skills training for family members of high-grade glioma patients","abstract":"Abstract Background Because family caregivers of patients with a high-grade glioma experience high levels of distress and feel unprepared to perform the complex caregiving tasks associated with the disease and its treatment, we pilot-tested a caregiving skills intervention that integrates hands-on caregiving with coping skill training. Methods In this single-arm trial, caregivers participated in a 4-session research nurse-led intervention involving simulation-based caregiving skills training at the hospital and psychoeducation delivered via videoconference. We collected measures of patients’ and caregivers’ psychological symptoms; caregivers’ caregiving self-efficacy and role adjustment; and patients' cancer-related symptoms (MDASI) at baseline and again postintervention. We tracked feasibility data. Results We approached 29 dyads of which 10 dyads (34%) consented. All patients (mean age: 60 years, 89% male) and caregivers (mean age: 58 years, 80% female, 80% spouses) completed the baseline and 7 dyads completed the follow-up assessments (attrition was related to patient’s hospice transfer). Seven caregivers completed all 4 sessions and rated the program as beneficial. Paired t-tests revealed a significant improvement in caregiving self-efficacy at 6 weeks postintervention (t = –3.06, P = .02). Although improvements in caregiver role adjustment and patient and caregiver symptoms were not observed, no decreases in symptom burden or role adjustment were found during the follow-up period. Conclusions This novel supportive care program appears to be safe, feasible, acceptable, and perceived as useful for caregivers of patients with high-grade glioma. Based on feasibility indicators and a signal of intervention efficacy, a randomized controlled trial is warranted.","journal":"Neuro-Oncology Practice","year":2024,"id":470712,"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":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.948,"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":307377,"name":"Shiao‐Pei Weathers","orcid":"0000-0002-0405-102X","position":1,"is_corresponding":false},{"id":259629,"name":"Yisheng Li","orcid":"0000-0001-9847-8544","position":2,"is_corresponding":false},{"id":1305421,"name":"Ellen Aldrich","orcid":null,"position":3,"is_corresponding":false},{"id":1305422,"name":"Kristin Ownby","orcid":null,"position":4,"is_corresponding":false},{"id":139646,"name":"J. M. THOMAS","orcid":null,"position":5,"is_corresponding":false},{"id":413779,"name":"An Ngo‐Huang","orcid":"0000-0003-4797-4147","position":6,"is_corresponding":false},{"id":307384,"name":"Éduardo Bruera","orcid":"0000-0002-8745-0412","position":7,"is_corresponding":false},{"id":307376,"name":"Kathrin Milbury","orcid":"0000-0003-2605-3592","position":8,"is_corresponding":false},{"id":307379,"name":"Meagan Whisenant","orcid":"0000-0002-9791-1227","position":0,"is_corresponding":true}],"reference_count":43,"raw_metadata":null,"created_at":"2026-07-19T02:05:40.740958Z","pmid":"39006525","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":[]}