Cia Sin Lee, N. Tan, Kuan Liang Shawn Goh, Zi Ying Chang, T. Liew
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Risk factors of PIP could be classified into patient, physician and system factors. Patient factors were related to patient demographics (advanced age, lower education level and lower socioeconomic status), medical comorbidities (polypharmacy and multimorbidity) and lifestyle factors (unhealthy habits and use of over-the-counter medications). Physician and system factors included older, male, solo general practitioner (GP), higher number of visits of pharmaceutical sales representatives to GP, centrally located GP practice, and smaller number of older patients following up with GP, and medication source from public health system. The findings provide contextual information to guide our understanding of PIP in primary care. 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引用次数: 0
摘要
潜在不当处方(PIP)在初级保健中很常见,并与不良后果相关。了解PIP的危险因素对设计PIP干预措施至关重要,特别是在指导我们理解PIP如何在初级保健中发生时。本系统综述检查了与PIP相关的因素,具体到初级保健。我们检索了PubMed、Embase、CINAHL、Web of Science、Scopus和PsycINFO等与“老年人”、“初级保健”和“不当处方”相关的研究。两名审稿人进行研究选择、数据提取和质量评价。叙述综合与PIP相关的因素。在纳入的1017篇文献中,我们纳入了25篇文献,共有2,893,925名参与者,平均年龄为70.4-84.0岁。PIP的危险因素可分为患者因素、医生因素和系统因素。患者因素与患者人口统计学(高龄、低教育水平和低社会经济地位)、医疗合并症(多种药物和多种疾病)和生活方式因素(不健康的习惯和使用非处方药)有关。医师和系统因素包括年龄较大、男性、全科医生、药品销售代表到全科医生就诊次数较多、全科医生诊所位于中心位置、全科医生随访的老年患者较少以及公共卫生系统的药物来源。研究结果提供了上下文信息来指导我们对初级保健中PIP的理解。本综述中确定的因素可以为PIP复杂干预措施的设计提供信息,也可用于开发风险预测工具,以确定可能需要进一步PIP相关干预措施的高危人群。
Factors associated with potentially inappropriate prescribing among older persons in primary care settings: Systematic review
Potentially inappropriate prescribing (PIP) is common in primary care and is associated with adverse outcomes. Knowledge of the risk factors of PIP can be critical in designing PIP interventions, especially in guiding our understanding on how PIP occurs in primary care. This systematic review examined factors associated with PIP, specific to primary care. We searched PubMed, Embase, CINAHL, Web of Science, Scopus and PsycINFO for studies related to ‘older persons’, ‘primary care’ and ‘inappropriate prescribing’. Two reviewers conducted study selection, data extraction and quality appraisal. Factors associated with PIP were narratively synthesized. Of the 1017 articles identified, we included 25 articles and a total of 2,893,925 participants, with average age of 70.4–84.0 years. Risk factors of PIP could be classified into patient, physician and system factors. Patient factors were related to patient demographics (advanced age, lower education level and lower socioeconomic status), medical comorbidities (polypharmacy and multimorbidity) and lifestyle factors (unhealthy habits and use of over-the-counter medications). Physician and system factors included older, male, solo general practitioner (GP), higher number of visits of pharmaceutical sales representatives to GP, centrally located GP practice, and smaller number of older patients following up with GP, and medication source from public health system. The findings provide contextual information to guide our understanding of PIP in primary care. Factors identified in this review can inform the design of complex interventions for PIP, as well as be used to develop risk prediction tools to identify high-risk groups who may require further interventions related to PIP.