da Rocha Chiara E, Lessa Felipe A S, Venceslau Daniel O, Sakuraba Celso S, Barros Izadora M C, de Lyra Divaldo P
Laboratory of Teaching and Research in Social Pharmacy (LEPFS/UFS), Federal University of Sergipe, Marechal Rondon Avenue, Jardim Rosa Elze, São Cristóvão, Sergipe, 49100-000, Brazil.
Pharmacy Department, Federal University of Sergipe, Campus Prof. Antônio Garcia Filho, Street Padre Alvares Pitangueira, no 258, Centro, Lagarto, Sergipe, 49400-000, Brazil.
Int J Clin Pharm. 2016 Feb;38(1):152-61. doi: 10.1007/s11096-015-0223-z. Epub 2015 Dec 29.
Responsible self-medication is an integral part of the health system that consists of community pharmacists counseling patients on treating minor illness using non-prescription medications. Systems for properly managing information can assist disease identification and clinical decision-making.
To develop a software program to assist community pharmacists in clinical decision-making regarding selfmedication.
The study was conducted in northeastern Brazil.
The study was conducted from February 2012 to January 2014. System development included identifying minor illnesses commonly treated by community pharmacists and creating simulations of community pharmacies using a simulated patient methodology. Clinical pharmacists, production engineering students, professors, and a pharmacist researcher comprised the development group. Five meetings were held to develop the software, and the system was completed in December 2013.
Minor illnesses commonly treated by community pharmacists, and simulated patient methodology.
In the first meeting the final list of topics for inclusion in the algorithm indicated the exact questions to be addressed by the community pharmacist to properly manage the complaint. In the second meeting, the discussions in the focus group indicated consensus among pharmacists as to the medications on the list of Groups and Specified Therapeutic Indications of Brazilian Legislation. In the third meeting were defined the parameters to refer patients to the doctor. In the fourth meeting the algorithm was tested using a simulated patient, to observe whether the question order ensures an effective, efficient, and safe decision process for the patient. In the fifth meeting, the algorithm was tested again using a simulated patient with the flu, and all group members agreed upon its final incarnation after refinements to the situations that determined referral to the doctor.
The software may contribute to identifying health risk situations (potentially unsafe medications based on clinical history, clinical hazards, and past adverse events) requiring medical treatment.
合理的自我药疗是卫生系统的一个组成部分，它包括社区药剂师就使用非处方药治疗小病为患者提供咨询。妥善管理信息的系统有助于疾病识别和临床决策。
开发一个软件程序，以协助社区药剂师在自我药疗方面进行临床决策。
该研究在巴西东北部进行。
研究于2012年2月至2014年1月开展。系统开发包括确定社区药剂师通常治疗的小病，并使用模拟患者方法创建社区药房模拟。开发团队由临床药剂师、生产工程专业学生、教授和一名药剂师研究员组成。为开发该软件举行了五次会议，系统于2013年12月完成。
社区药剂师通常治疗的小病，以及模拟患者方法。
在第一次会议上，算法中纳入的最终主题列表表明了社区药剂师为妥善处理投诉应解决的具体问题。在第二次会议上，焦点小组的讨论表明药剂师们就巴西立法中群组和特定治疗适应症列表上的药物达成了共识。在第三次会议上确定了将患者转诊给医生的参数。在第四次会议上，使用模拟患者对算法进行了测试，以观察问题顺序是否能确保为患者提供有效、高效和安全的决策过程。在第五次会议上，再次使用患有流感的模拟患者对算法进行了测试，在对确定转诊给医生的情况进行完善后，所有小组成员都认可了其最终版本。
该软件可能有助于识别需要医疗治疗的健康风险情况（基于临床病史、临床危害和既往不良事件的潜在不安全药物）。
