Fitzpatrick Stephanie L, Hill-Briggs Felicia
Department of Preventive Medicine, Rush University Medical Center, 1700 W. Van Buren St., Room 478A, Chicago, IL, 60607, USA.
Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
J Behav Med. 2015 Oct;38(5):787-97. doi: 10.1007/s10865-014-9603-4. Epub 2014 Oct 16.
Identification of patients with poor chronic disease self-management skills can facilitate treatment planning, determine effectiveness of interventions, and reduce disease complications. This paper describes the use of a Rasch model, the Rating Scale Model, to examine psychometric properties of the 50-item Health Problem-Solving Scale (HPSS) among 320 African American patients with high risk for cardiovascular disease. Items on the positive/effective HPSS subscales targeted patients at low, moderate, and high levels of positive/effective problem solving, whereas items on the negative/ineffective problem solving subscales mostly targeted those at moderate or high levels of ineffective problem solving. Validity was examined by correlating factor scores on the measure with clinical and behavioral measures. Items on the HPSS show promise in the ability to assess health-related problem solving among high risk patients. However, further revisions of the scale are needed to increase its usability and validity with large, diverse patient populations in the future.
识别慢性病自我管理技能较差的患者有助于治疗规划、确定干预措施的有效性并减少疾病并发症。本文描述了使用一种Rasch模型，即评分量表模型，来检验320名心血管疾病高危非裔美国患者中50项健康问题解决量表（HPSS）的心理测量特性。积极/有效HPSS子量表上的项目针对低、中、高水平积极/有效问题解决能力的患者，而消极/无效问题解决子量表上的项目主要针对中等或高水平无效问题解决能力的患者。通过将该测量的因子得分与临床和行为测量进行关联来检验效度。HPSS上的项目在评估高危患者中与健康相关的问题解决能力方面显示出前景。然而，未来需要对该量表进行进一步修订，以提高其在大型、多样化患者群体中的可用性和效度。
