Department of Pharmacy, Guizhou Provincial People's Hospital, Guiyang, China.
Department of Pharmacy, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region, Chengdu, China.
Eur J Hosp Pharm. 2020 May;27(3):131-136. doi: 10.1136/ejhpharm-2018-001815. Epub 2019 Jun 20.
Since antibiotic resistance has become a global public health issue, a clinical pharmacist consultation service has been established in China.
To clarify the role of the clinical pharmacist consultation service in the management of infectious diseases (ID).
Medline, Embase, Cochrane Library, Chinese National Knowledge Infrastructure, Chinese Biomedical Database, Vip Database and Wanfang Database were searched for studies meeting predefined inclusion criteria. The pooled acceptance rate of consultation (ARC) and effective rate of patients treated with the acceptance of pharmacists' suggestions (ERA) were then calculated.
Fifty studies (involving 8616 patients and 8828 consultations) from 17 different provinces in China were included. The pooled ARC and ERA were 93.13% (95% CI 90.62% to 95.00%) and 93.60% (95% CI 91.99% to 95.24%), respectively. Adopting pharmacists' suggestions can significantly improve the prognosis of patients with ID with a risk ratio of 2.08 (95% CI 1.41 to 3.06). Factors such as study time, characteristics of the research institution and patients have important influences on ARC.
Prospective cohort studies with better methodology are needed, although a series of uncontrolled studies has shown that the service has excellent acceptance and improves the effectiveness of treatment for ID.
由于抗生素耐药性已成为全球公共卫生问题，中国已建立临床药师咨询服务。
阐明临床药师咨询服务在传染病（ID）管理中的作用。
检索 Medline、Embase、Cochrane 图书馆、中国知网、中国生物医学文献数据库、维普数据库和万方数据库，以符合预先设定的纳入标准的研究。然后计算咨询的总体接受率（ARC）和接受药师建议的患者的有效率（ERA）。
纳入来自中国 17 个不同省份的 50 项研究（涉及 8616 名患者和 8828 次咨询）。总体 ARC 和 ERA 分别为 93.13%（95%CI 90.62%至 95.00%）和 93.60%（95%CI 91.99%至 95.24%）。采用药师建议可显著改善 ID 患者的预后，风险比为 2.08（95%CI 1.41 至 3.06）。研究时间、研究机构和患者的特点等因素对 ARC 有重要影响。
尽管一系列非对照研究表明该服务具有良好的接受度并提高了 ID 治疗的有效性，但仍需要采用更好方法学的前瞻性队列研究。
