Mongan Institute for Health Policy, Massachusetts General Hospital, 50 Staniford Street, Room 901B, Boston, MA 02114, USA.
Health Serv Res. 2010 Oct;45(5 Pt 2):1523-40. doi: 10.1111/j.1475-6773.2010.01145.x. Epub 2010 Aug 2.
Increasing numbers of Americans are living with multiple chronic conditions (MCCs) and disabilities. Addressing health care needs of persons with MCCs or disabilities presents challenges on many levels. For health services researchers, priorities include (1) considering MCCs and disabilities in comparative effectiveness research (CER) and assessing quality of care; and (2) identifying and evaluating the data needed to conduct CER, performance measure development, and other research to inform health policy and public health decisions concerning persons with MCCs or disabilities. Little information is available to guide CER or treatment choices for persons with MCCs or disabilities, however, because they are typically excluded from clinical trials that produce the scientific evidence base. Furthermore, most research funding flows through public and private agencies oriented around single organ systems or diseases. Likely changes in the data landscape-notably wider dissemination of electronic health records (EHRs) and moving toward updated coding nomenclatures-may increase the information available to monitor health care service delivery and quality for persons with MCCs and disabilities. Generating this information will require new methods to extract and code information about MCCs and functional status from EHRs, especially narrative texts, and incorporating coding nomenclatures that capture critical dimensions of functional status and disability.
越来越多的美国人患有多种慢性疾病(MCCs)和残疾。在许多层面上,满足患有 MCCs 或残疾人士的医疗需求都具有挑战性。对于卫生服务研究人员来说,优先事项包括:(1) 在比较疗效研究(CER)中考虑 MCCs 和残疾,并评估护理质量;(2) 确定和评估开展 CER、绩效衡量标准制定以及其他研究所需的数据,以为涉及患有 MCCs 或残疾人士的卫生政策和公共卫生决策提供信息。然而,针对患有 MCCs 或残疾人士的 CER 或治疗选择,可用的信息很少,因为他们通常被排除在产生科学证据基础的临床试验之外。此外,大多数研究资金都通过面向单一器官系统或疾病的公共和私人机构流动。数据格局可能发生的变化——特别是电子健康记录(EHRs)的更广泛传播以及向更新的编码命名法的转变——可能会增加可用于监测患有 MCCs 和残疾人士的医疗保健服务提供和质量的信息。生成这些信息将需要新的方法从 EHR 中提取和编码有关 MCCs 和功能状态的信息,特别是叙述性文本,并纳入能捕捉功能状态和残疾的关键维度的编码命名法。