Behavioural Science and Health Research Group, Curtin University, Bentley, Western Australia, Australia; School of Population Health, Curtin University, Bentley, Western Australia, Australia; EnAble Institute, Curtin University, Bentley, Western Australia, Australia.
Behavioural Science and Health Research Group, Curtin University, Bentley, Western Australia, Australia; School of Population Health, Curtin University, Bentley, Western Australia, Australia.
Res Social Adm Pharm. 2024 Feb;20(2):115-123. doi: 10.1016/j.sapharm.2023.10.008. Epub 2023 Oct 31.
Pharmacists are trusted and accessible healthcare professionals who are well-positioned to deliver brief health behaviour change technique-based interventions for chronic health conditions. However, little is known about the factors influencing pharmacists' use of behaviour change techniques and their capacity to deliver these interventions within community pharmacy.
This study employed the COM-B model to explore the factors that explain pharmacists' delivery of behaviour change techniques in practice. A secondary objective was to ascertain whether capability, opportunity, and motivation are associated with and explain significant variance in the use of behaviour change techniques during patient interactions.
Two-hundred and eleven Australian pharmacists (mean age = 36.1, SD = 10.7) completed a survey on their capability, opportunity, and motivation to deliver behaviour change techniques, and their delivery and frequency of use in practice.
Most pharmacists (91.3%) use behaviour change techniques during patient interactions. Results from a simple linear regression showed that a composite COM score was associated with pharmacists' behaviour change technique use F(1,195) = 47.12, β = 0.44, 95 % CI [0.09, 0.16], p < .001, and their frequency of use (F(1,198) = 44.19, β = 0.43, 95 % CI [0.02, 0.06], p < .001). While capability, opportunity, and motivation were individually associated with the range and frequency of behaviour change technique used, motivation was the only significant variable in the composite model for range (β = 0.35, 95 % CI [0.11, 0.41], p < .001) and frequency of behaviour change technique use (β = 0.22, 95 % CI [0.01, 0.09], p < .05).
Pharmacist motivation was the most important construct explaining behaviour change technique use. Interventions should seek to foster pharmacist motivation and may benefit from adopting COM-B as a behaviour change framework, to understand the factors influencing the delivery of behaviour change interventions.
药剂师是值得信赖且易于接触的医疗保健专业人员，非常适合为慢性病提供基于简短健康行为改变技术的干预措施。然而，对于影响药剂师使用行为改变技术的因素以及他们在社区药房中提供这些干预措施的能力知之甚少。
本研究采用 COM-B 模型探讨解释药剂师在实践中提供行为改变技术的因素。次要目的是确定能力、机会和动机是否与患者互动中行为改变技术的使用相关，并解释其显著差异。
211 名澳大利亚药剂师（平均年龄 36.1，标准差 10.7）完成了一项关于他们提供行为改变技术的能力、机会和动机，以及他们在实践中的提供和使用频率的调查。
大多数药剂师（91.3%）在与患者互动时使用行为改变技术。简单线性回归的结果表明，综合 COM 评分与药剂师的行为改变技术使用相关，F（1，195）=47.12，β=0.44，95%置信区间[0.09，0.16]，p<0.001，以及他们的使用频率（F（1，198）=44.19，β=0.43，95%置信区间[0.02，0.06]，p<0.001）。虽然能力、机会和动机单独与行为改变技术的使用范围和频率相关，但动机是综合模型中唯一与行为改变技术使用范围（β=0.35，95%置信区间[0.11，0.41]，p<0.001）和频率相关的显著变量（β=0.22，95%置信区间[0.01，0.09]，p<0.05）。
药剂师的动机是解释行为改变技术使用的最重要因素。干预措施应旨在培养药剂师的动机，并可能受益于采用 COM-B 作为行为改变框架，以了解影响行为改变干预措施提供的因素。
