Owoyemi Praise, Salcone Sarah, King Christopher, Kim Heejung Julie, Ressler Kerry James, Vahia Ipsit Vihang
Department of Psychology, Univerity of California, Los Angeles, Los Angeles, CA, United States.
Department of Psychology, University of South Alabama, Mobile, AL, United States.
JMIR Ment Health. 2021 Apr 14;8(4):e25050. doi: 10.2196/25050.
The review of collateral information is an essential component of patient care. Although this is standard practice, minimal research has been done to quantify collateral information collection and to understand how collateral information translates to clinical decision making. To address this, we developed and piloted a novel measure (the McLean Collateral Information and Clinical Actionability Scale [M-CICAS]) to evaluate the types and number of collateral sources viewed and the resulting actions made in a psychiatric setting.
This study aims to test the feasibility of the M-CICAS, validate this measure against clinician notes via medical records, and evaluate whether reviewing a higher volume of collateral sources is associated with more clinical actions taken.
For the M-CICAS, we developed a three-part instrument, focusing on measuring collateral sources reviewed, clinical actions taken, and shared decision making between the clinician and patient. To determine feasibility and preliminary validity, we piloted this measure among clinicians providing psychotherapy at McLean Hospital. These clinicians (n=7) completed the M-CICAS after individual clinical sessions with 89 distinct patient encounters. Scales were completed by clinicians only once for each patient during routine follow-up visits. After clinicians completed these scales, researchers conducted chart reviews by completing the M-CICAS using only the clinician's corresponding note from that session. For the analyses, we generated summary scores for the number of collateral sources and clinical actions for each encounter. We examined Pearson correlation coefficients to assess interrater reliability between clinicians and chart reviewers, and simple univariate regression modeling followed by multilevel mixed effects regression modeling to test the relationship between collateral information accessed and clinical actions taken.
The study staff had high interrater reliability on the M-CICAS for the sources reviewed (r=0.98; P<.001) and actions taken (r=0.97; P<.001). Clinician and study staff ratings were moderately correlated and statistically significant on the M-CICAS summary scores for the sources viewed (r=0.24, P=.02 and r=0.25, P=.02, respectively). Univariate regression modeling with a two-tailed test demonstrated a significant association between collateral sources and clinical actions taken when clinicians completed the M-CICAS (β=.27; t=2.47; P=.02). The multilevel fixed slopes random intercepts model confirmed a significant association even when accounting for clinician differences (β=.23; t=2.13; P=.04).
This pilot study established the feasibility and preliminary validity of the M-CICAS in assessing collateral sources and clinical decision making in psychiatry. This study also indicated that reviewing more collateral sources may lead to an increased number of clinical actions following a session.
对辅助信息的审查是患者护理的重要组成部分。尽管这是标准做法,但在量化辅助信息收集以及理解辅助信息如何转化为临床决策方面所做的研究极少。为解决这一问题,我们开发并试行一种新的测量方法(麦克莱恩辅助信息与临床可操作性量表 [M-CICAS]),以评估在精神科环境中查看的辅助信息来源的类型和数量以及由此采取的行动。
本研究旨在测试 M-CICAS 的可行性,通过病历对照临床医生记录验证该测量方法,并评估查看更多辅助信息来源是否与采取更多临床行动相关。
对于 M-CICAS,我们开发了一个由三部分组成的工具,重点测量所查看的辅助信息来源、采取的临床行动以及临床医生与患者之间的共同决策。为确定可行性和初步有效性,我们在麦克莱恩医院提供心理治疗的临床医生中试行该测量方法。这些临床医生(n = 7)在 89 次不同的患者诊疗后的个人临床会诊后完成 M-CICAS。在常规随访期间,临床医生仅为每位患者完成一次量表。临床医生完成这些量表后,研究人员仅使用该会诊中临床医生的相应记录通过完成 M-CICAS 进行病历审查。对于分析,我们为每次诊疗的辅助信息来源数量和临床行动生成汇总分数。我们检查皮尔逊相关系数以评估临床医生和病历审查人员之间的评分者间信度,并进行简单单变量回归建模,随后进行多级混合效应回归建模,以测试所获取的辅助信息与所采取的临床行动之间的关系。
研究人员在 M-CICAS 上对所查看的信息来源(r = 0.98;P <.001)和所采取的行动(r = 0.97;P <.001)具有较高的评分者间信度。临床医生和研究人员在 M-CICAS 所查看信息来源的汇总分数上具有中度相关性且具有统计学意义(分别为 r = 0.24,P =.02 和 r = 0.25,P =.02)。采用双尾检验的单变量回归建模表明,当临床医生完成 M-CICAS 时,辅助信息来源与所采取的临床行动之间存在显著关联(β =.27;t = 2.47;P =.02)。即使考虑临床医生差异,多级固定斜率随机截距模型也证实了显著关联(β =.23;t = 2.13;P =.04)。
这项试点研究确立了 M-CICAS 在评估精神科辅助信息来源和临床决策方面的可行性和初步有效性。该研究还表明,查看更多的辅助信息来源可能会导致会诊后临床行动数量增加。