识别危险因素，患者报告的经验和结果测量，以及个性化儿科疼痛预测工具的数卡塔尔世界杯8强波胆分析据捕获工具:焦点小组研究%A Wood,Michael D %A West,Nicholas C %A Sreepada,Rama S %A Loftsgard,Kent C %A Petersen,Luba %A Robillard,Julie M %A Page,Patricia %A Ridgway,Randa %A Chadha,Neil K %A Portales-Casamar,Elodie %A Görges,Matthias %A， %+ BC省儿童医院研究所，V5Z 4H4，温哥华西28大道950号，v604 875 2000转6920，michael.wood@bcchr.ca % K patient-oriented研究% K patient-reported结果措施% K patient-reported经验措施% K风险预测% K痛苦% K个性化的风险% K手术% K麻醉% K焦点小组% K专题分析% K围手术期% K参与式医学% K数字卫生工具% K手术后的疼痛% K孩子% K阿片类药物使用% K虚拟焦点小组% K术后% K儿科% K风险预测% K健康结果% D原始论文7 15.11.2022 % 9 2022% % J JMIR PerioperMed %G English %X Background: The perioperative period is a data-rich environment with potential for innovation through digital health tools and predictive analytics to optimize patients’ health with targeted prehabilitation. Although some risk factors for postoperative pain following pediatric surgery are already known, the systematic use of preoperative information to guide personalized interventions is not yet widespread in clinical practice. Objective: Our long-term goal is to reduce the incidence of persistent postsurgical pain (PPSP) and long-term opioid use in children by developing personalized pain risk prediction models that can guide clinicians and families to identify targeted prehabilitation strategies. To develop such a system, our first objective was to identify risk factors, outcomes, and relevant experience measures, as well as data collection tools, for a future data collection and risk modeling study. Methods: This study used a patient-oriented research methodology, leveraging parental/caregiver and clinician expertise. We conducted virtual focus groups with participants recruited at a tertiary pediatric hospital; each session lasted approximately 1 hour and was composed of clinicians or family members (people with lived surgical experience and parents of children who had recently undergone a procedure requiring general anesthesia) or both. Data were analyzed thematically to identify potential risk factors for pain, as well as relevant patient-reported experience and outcome measures (PREMs and PROMs, respectively) that can be used to evaluate the progress of postoperative recovery at home. This guidance was combined with a targeted literature review to select tools to collect risk factor and outcome information for implementation in a future study. Results: In total, 22 participants (n=12, 55%, clinicians and n=10, 45%, family members) attended 10 focus group sessions; participants included 12 (55%) of 22 persons identifying as female, and 12 (55%) were under 50 years of age. Thematic analysis identified 5 key domains: (1) demographic risk factors, including both child and family characteristics; (2) psychosocial risk factors, including anxiety, depression, and medical phobias; (3) clinical risk factors, including length of hospital stay, procedure type, medications, and pre-existing conditions; (4) PREMs, including patient and family satisfaction with care; and (5) PROMs, including nausea and vomiting, functional recovery, and return to normal activities of daily living. Participants further suggested desirable functional requirements, including use of standardized and validated tools, and longitudinal data collection, as well as delivery modes, including electronic, parent proxy, and self-reporting, that can be used to capture these metrics, both in the hospital and following discharge. Established PREM/PROM questionnaires, pain-catastrophizing scales (PCSs), and substance use questionnaires for adolescents were subsequently selected for our proposed data collection platform. Conclusions: This study established 5 key data domains for identifying pain risk factors and evaluating postoperative recovery at home, as well as the functional requirements and delivery modes of selected tools with which to capture these metrics both in the hospital and after discharge. These tools have been implemented to generate data for the development of personalized pain risk prediction models. %M 36378509 %R 10.2196/42341 %U https://periop.www.mybigtv.com/2022/1/e42341 %U https://doi.org/10.2196/42341 %U http://www.ncbi.nlm.nih.gov/pubmed/36378509