J Am Pharm Assoc (2003). 2024 May-Jun;64(3):102025. doi: 10.1016/j.japh.2024.01.021. Epub 2024 Feb 4.
Patients' level of medication adherence provides conflicting results in its relationship to patient activation. Multiple factors may be contributing to these mixed results.
The primary purpose was to assess the association of patient activation to medication adherence in adults with chronic health conditions and low health literacy (HL). Secondary objectives were to determine whether age, education, gender, and race were associated with activation.
Participants completed self-report questionnaires regarding chronic disease self-management. Patient activation was measured using Hibbard's Patient Activation Measure (PAM). Self-report of medication adherence was determined using the Gonzalez-Lu adherence questionnaire. Block regressions first assessed the relation of demographic variables and education to adherence and then the added relation of patient activation in a second model.
The analyses included 301 participants (mean age 58 years; 53% female; mean chronic conditions of 6.6). Some of the most common chronic conditions included hypertension (60%), arthritis (51%), depression (49%), and hyperlipidemia (43%). The relation of older age to greater medication adherence was significant (P < 0.05) in both models. The addition of PAM was significantly related to better adherence (P < 0.001) and also increased the R squared value from 0.04 to 0.09. This change resulted in a moderate effect size (d = 0.50).
Evaluating patient activation at baseline may predict those more likely to be medication adherent in patients with low HL.
患者的药物治疗依从性水平与其患者激活程度的关系结果相互矛盾。造成这些混合结果的原因可能有很多。
主要目的是评估在患有慢性健康状况和低健康素养(HL)的成年人中,患者激活与药物依从性的关系。次要目的是确定年龄、教育、性别和种族是否与激活相关。
参与者完成了关于慢性疾病自我管理的自我报告问卷。患者激活使用 Hibbard 的患者激活度量表(PAM)进行测量。药物依从性的自我报告使用 Gonzalez-Lu 依从性问卷确定。分块回归首先评估了人口统计学变量和教育与依从性的关系,然后在第二个模型中评估了患者激活的附加关系。
分析包括 301 名参与者(平均年龄 58 岁;53%为女性;平均患有 6.6 种慢性病)。最常见的慢性病包括高血压(60%)、关节炎(51%)、抑郁症(49%)和高血脂(43%)。在两个模型中,年龄较大与更高的药物依从性相关均具有统计学意义(P<0.05)。PAM 的加入与更好的依从性显著相关(P<0.001),并且还将 R 平方值从 0.04 增加到 0.09。这种变化导致中等效应量(d=0.50)。
在基线评估患者激活可能预测那些在低 HL 患者中更有可能遵守药物治疗的患者。