Department of Medicine, Stanford University School of Medicine, Stanford, California, USA.
Department of Medicine (Biomedical Informatics, Stanford University School of Medicine, Stanford, California, USA.
Cancer Med. 2021 Sep;10(17):5783-5793. doi: 10.1002/cam4.4124. Epub 2021 Jul 13.
High-value cancer care balances effective treatment with preservation of quality of life. Chemotherapy is known to affect patients' physical and psychological well-being negatively. Patient-reported outcomes (PROs) provide a means to monitor declines in a patients' well-being during treatment.
We identified 741 oncology patients undergoing chemotherapy in our electronic health record (EHR) system who completed Patient-Reported Outcomes Measurement Information System (PROMIS) surveys during treatment at a comprehensive cancer center, 2013-2018. PROMIS surveys were collected before, during, and after chemotherapy treatment. Linear mixed-effects models were performed to identify predictors of physical and mental health scores over time. A k-mean cluster analysis was used to group patient PROMIS score trajectories.
Mean global physical health (GPH) scores were 48.7 (SD 9.3), 47.7 (8.8), and 48.6 (8.9) and global mental health (GMH) scores were 50.4 (8.6), 49.5 (8.8), and 50.6 (9.1) before, during, and after chemotherapy, respectively. Asian race, Hispanic ethnicity, public insurance, anxiety/depression, stage III cancer, and palliative care were predictors of GPH and GMH decline. The treatment time period was also a predictor of both GPH and GMH decline relative to pre-treatment. Trajectory clustering identified four distinct PRO clusters associated with chemotherapy treatment.
Patient-reported outcomes are increasingly used to help monitor cancer treatment and are now a part of care reimbursement. This study leveraged routinely collected PROMIS surveys linked to EHRs to identify novel patient trajectories of physical and mental well-being in oncology patients undergoing chemotherapy and potential predictors. Supportive care interventions in high-risk populations identified by our study may optimize resource deployment.
This study leveraged routinely collected patient-reported outcome (PROMIS) surveys linked to electronic health records to characterize oncology patients' quality of life during chemotherapy. Important clinical and demographic predictors of declines in quality of life were identified and four novel trajectories to guide personalized interventions and support. This work highlights the utility of monitoring patient-reported outcomes not only before and after, but during chemotherapy to help advert adverse patient outcomes and improve treatment adherence.
高价值的癌症护理需要在有效治疗和生活质量之间取得平衡。化疗已知会对患者的身心健康产生负面影响。患者报告的结果(PROs)提供了一种在治疗期间监测患者福祉下降的方法。
我们在电子病历(EHR)系统中确定了 741 名正在接受化疗的肿瘤患者,这些患者在 2013 年至 2018 年期间在综合癌症中心接受治疗时完成了患者报告的结果测量信息系统(PROMIS)调查。在化疗治疗前后收集 PROMIS 调查。线性混合效应模型用于确定随时间推移的生理和心理健康评分的预测因素。使用 K-均值聚类分析将患者 PROMIS 评分轨迹进行分组。
平均全球生理健康(GPH)评分分别为 48.7(9.3)、47.7(8.8)和 48.6(8.9),全球心理健康(GMH)评分分别为 50.4(8.6)、49.5(8.8)和 50.6(9.1),在化疗前、期间和之后。亚洲种族、西班牙裔、公共保险、焦虑/抑郁、III 期癌症和姑息治疗是 GPH 和 GMH 下降的预测因素。治疗时间也是相对于治疗前 GPH 和 GMH 下降的预测因素。轨迹聚类确定了与化疗治疗相关的四个不同的 PRO 簇。
患者报告的结果越来越多地用于帮助监测癌症治疗,现在已成为护理报销的一部分。本研究利用与电子病历相关的常规收集的 PROMIS 调查来识别接受化疗的肿瘤患者生理和心理健康的新患者轨迹和潜在预测因素。我们的研究确定了高危人群中的支持性护理干预措施,这可能优化资源配置。
本研究利用与电子病历相关的常规收集的患者报告结果(PROMIS)调查来描述接受化疗的肿瘤患者的生活质量。确定了生活质量下降的重要临床和人口统计学预测因素,并确定了四个新的轨迹来指导个性化干预和支持。这项工作强调了不仅在化疗前后,而且在化疗期间监测患者报告的结果的实用性,以帮助预防不良的患者结局并提高治疗依从性。