Griffith Lauren E, Gruneir Andrea, Fisher Kathryn A, Nicholson Kathryn, Panjwani Dilzayn, Patterson Christopher, Markle-Reid Maureen, Ploeg Jenny, Bierman Arlene S, Hogan David B, Upshur Ross
Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Department of Family Medicine, Institute of Clinical Evaluative Sciences, University of Alberta, Edmonton, Alberta, Canada.
J Comorb. 2018 Sep 3;8(1):2235042X18795306. doi: 10.1177/2235042X18795306. eCollection 2018 Jan-Dec.
There are multiple multimorbidity measures but little consensus on which measures are most appropriate for different circumstances.
To share insights gained from discussions with experts in the fields of ageing research and multimorbidity on key factors to consider when measuring multimorbidity.
Descriptive study of expert opinions on multimorbidity measures, informed by literature to identify available measures followed by a face-to-face meeting and an online survey.
The expert group included clinicians, researchers and policymakers in Canada with expertise in the fields of multimorbidity and ageing. Of the 30 experts invited, 15 (50%) attended the in-person meeting and 14 (47%) responded to the subsequent online survey. Experts agreed that there is no single multimorbidity measure that is suitable for all research studies. They cited a number of factors that need to be considered in selecting a measure for use in a research study including: (1) fit with the study purpose; (2) the conditions included in multimorbidity measures; (3) the role of episodic conditions or diseases; and (4) the role of social factors and other concepts missing in existing approaches.
The suitability of existing multimorbidity measures for use in a specific research study depends on factors such as the purpose of the study, outcomes examined and preferences of the involved stakeholders. The results of this study suggest that there are areas that require further building out in both the conceptualization and measurement of multimorbidity for the benefit of future clinical, research and policy decisions.
存在多种共病测量方法,但对于哪种方法最适用于不同情况,几乎没有达成共识。
分享与衰老研究和共病领域专家讨论中获得的见解,内容涉及测量共病时需考虑的关键因素。
对共病测量方法的专家意见进行描述性研究,参考文献确定可用方法,随后进行面对面会议和在线调查。
专家小组包括加拿大在共病和衰老领域具有专业知识的临床医生、研究人员和政策制定者。在邀请的30位专家中,15位(50%)参加了面对面会议,14位(47%)回复了随后的在线调查。专家们一致认为,没有单一的共病测量方法适用于所有研究。他们列举了在为研究选择测量方法时需要考虑的一些因素,包括:(1)与研究目的相符;(2)共病测量中包含的疾病;(3)偶发性疾病或病症的作用;(4)社会因素的作用以及现有方法中缺失的其他概念。
现有共病测量方法在特定研究中的适用性取决于研究目的、所检查的结果以及相关利益相关者的偏好等因素。本研究结果表明,为了未来临床、研究和政策决策的利益,在共病的概念化和测量方面都有需要进一步完善的领域。