Universiti Teknologi MARA, Selangor, Malaysia.
J Prim Care Community Health. 2020 Jan-Dec;11:2150132720931301. doi: 10.1177/2150132720931301.
High activation level has been associated with higher education background, better self-rated health status, and having adequate health literacy. However, there is a gap in the literature regarding the level of activation and the factors associated with it among patients with metabolic syndrome (MetS) in the Malaysian primary care setting. This study aims to determine activation levels and the factors associated with high activation among individuals with MetS in primary care. A cross-sectional study was conducted at a university primary care clinic. Patient activation was measured using the Patient Activation Measure®-13 Malay version. Activation levels were dichotomized into "low activation" (levels 1 and 2) and "high activation" (levels 3 and 4). To determine the factors associated with high activation, simple logistic regressions (SLogR) followed by multiple logistic regressions (MLogR) were performed. Of 333 participants, 280 (84.1%) were included in the final analysis. The mean activation score was 59.4 (SD ±10.20) and 61.8% had high activation level. Two variables were found to be significant on MLogR. Those who were employed have the odds of 3.135 (95% CI 1.442-6.816) of having high activation compared with those who were unemployed. Those with good self-reported health status have the odds of 6.482 (95% CI 1.243-33.792) of having high activation compared to those with poor self-reported health status. The majority of participants had high activation levels. Those who were employed and those who had good self-reported health status were more likely to have high activation levels. Findings of this study could be used to develop patient activation interventions to improve self-management skills among individuals with MetS in primary care. These may include problem solving support, individualized care plans, peer or family support, and skill building. Those in high activation group can be trained to become mentors to support their peers who have low activation level.
高激活水平与较高的教育背景、较好的自我健康评估状况以及具备充分的健康素养有关。然而，在马来西亚基层医疗环境中，针对代谢综合征（MetS）患者的激活水平及其相关因素，文献中仍存在空白。本研究旨在确定基层医疗环境中 MetS 患者的激活水平及其与高激活相关的因素。这是一项在一所大学基层医疗诊所进行的横断面研究。采用马来语版患者激活度量表（Patient Activation Measure®-13）测量患者的激活水平。激活水平分为“低激活”（水平 1 和 2）和“高激活”（水平 3 和 4）。为了确定与高激活相关的因素，我们首先进行简单逻辑回归（SLogR），然后进行多元逻辑回归（MLogR）。在 333 名参与者中，有 280 名（84.1%）被纳入最终分析。平均激活得分为 59.4（SD ±10.20），61.8%的参与者具有高激活水平。在 MLogR 中，有两个变量具有统计学意义。与失业者相比，就业者具有 3.135 倍（95%CI 1.442-6.816）的高激活可能性。与自我报告健康状况不佳者相比，自我报告健康状况良好者具有 6.482 倍（95%CI 1.243-33.792）的高激活可能性。大多数参与者具有高激活水平。与失业者相比，就业者以及自我报告健康状况良好者更有可能具有高激活水平。本研究结果可用于制定患者激活干预措施，以提高基层医疗环境中 MetS 患者的自我管理技能。这些干预措施可能包括解决问题的支持、个体化的护理计划、同伴或家庭支持以及技能培养。高激活组的患者可以接受培训，成为低激活水平患者的导师。
