Losina Elena, Klara Kristina, Michl Griffin L, Collins Jamie E, Katz Jeffrey N
Orthopaedic and Arthritis Center for Outcomes Research, Department of Orthopedic Surgery, Brigham and Women's Hospital, 75 Francis St, BC 4-016, 02115, Boston, MA, USA.
Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA.
BMC Musculoskelet Disord. 2015 Oct 22;16:312. doi: 10.1186/s12891-015-0771-3.
The incidence of knee osteoarthritis (OA) is rising. While several risk factors have been associated with the development of knee OA, this information is not readily accessible to those at risk for osteoarthritis. Risk calculators have been developed for several prevalent chronic conditions but not for OA. Using published evidence on established risk factors, we developed an interactive, personalized knee OA risk calculator (OA Risk C) and conducted a pilot study to evaluate its acceptability and feasibility.
We used the Osteoarthritis Policy (OAPol) Model, a validated, state-transition simulation of the natural history and management of OA, to generate data for OA Risk C. Risk estimates for calculator users were based on a set of demographic and clinical factors (age, sex, race/ethnicity, obesity) and select risk factors (family history of knee OA, occupational exposure, and history of knee injury). OA Risk C presents personalized risk of knee OA in several ways to maximize understanding among a wide range of users. We conducted a study of 45 subjects in a primary care setting to establish the feasibility and acceptability of the OA risk calculator. Pilot study participants were asked several questions regarding ease of use, clarity of presentation, and clarity of the graphical representation of their risk. These questions used a five-level agreement scale ranging from strongly disagree to strongly agree.
OA Risk C depicts information about users' risk of symptomatic knee OA in 5 year intervals. Study participants estimated their lifetime risk at 38 %, while their actual lifetime risk, as estimated by OA Risk C, was 25 %. Eighty-four percent of pilot study participants reported that OA Risk C was easy to understand, and 89 % agreed that the graphs depicting their risk were clear and comprehensible.
We have developed a personalized, computer-based OA risk calculator that is easy to use. OA Risk C may be utilized to estimate individuals' knee OA risk and to deliver educational and behavioral interventions focused on osteoarthritis risk reduction.
膝关节骨关节炎(OA)的发病率正在上升。虽然已有多种风险因素与膝关节OA的发生相关,但对于骨关节炎风险人群来说,这些信息并不容易获取。针对几种常见慢性病已开发出风险计算器,但尚未用于OA。我们利用已发表的关于既定风险因素的证据,开发了一种交互式、个性化的膝关节OA风险计算器(OA Risk C),并进行了一项试点研究以评估其可接受性和可行性。
我们使用骨关节炎政策(OAPol)模型(一种经过验证的OA自然史和管理的状态转换模拟模型)来生成OA Risk C的数据。计算器用户的风险估计基于一组人口统计学和临床因素(年龄、性别、种族/民族、肥胖)以及特定风险因素(膝关节OA家族史、职业暴露和膝关节损伤史)。OA Risk C以多种方式呈现膝关节OA的个性化风险,以最大限度地提高广大用户的理解程度。我们在初级保健机构对45名受试者进行了一项研究,以确定OA风险计算器的可行性和可接受性。试点研究参与者被问及几个关于易用性、呈现清晰度以及其风险图形表示清晰度的问题。这些问题使用从强烈不同意到强烈同意的五级同意量表。
OA Risk C按5年间隔描绘用户发生有症状膝关节OA风险的信息。研究参与者估计他们的终生风险为38%,而OA Risk C估计的实际终生风险为25%。84%的试点研究参与者报告称OA Risk C易于理解,89%的人同意描绘其风险的图表清晰易懂。
我们开发了一种易于使用的基于计算机的个性化OA风险计算器。OA Risk C可用于估计个体的膝关节OA风险,并提供侧重于降低骨关节炎风险的教育和行为干预措施。