This study identified some health outcomes that may be influenced by medication regimen complexity: hospitalization, hospital readmission, and medication adherence were more prevalent, showing a significant association between MRCI increase and these health outcomes.

BackgroundClinical Pharmacy Services (CPS) are a reality in many health systems around the world. However, there are few studies that discuss the facilitators and the strategies to implement CPS in healthcare systems. In this way, the objective of this study was to identify the facilitators and strategies involved in the CPS implementation process in some public health units in a metropolis in the Northeast Brazil.MethodsA qualitative study was carried out with health-system pharmacists and managers who experienced the implementation of CPS. Therefore, focus groups were conducted with pharmacists, and the interviews with the managers. The discussions were carried out through semi-structured scripts and were recorded in audio and videos, after the signature of the consent form. The recordings were transcribed and analyzed independently through content analysis, followed by consensus meetings between researchers.ResultsTwo focus groups were conducted, with an average of seven pharmacists per group, and five interviews with local health managers. Participants reported 39 facilitators who were related to the categories: local healthcare network, healthcare team, pharmacists and implementation process of the CPS. And 21 strategies attributed to the following categories: local healthcare network, pharmacists and implementation process of the CPS.ConclusionsThis study identified facilitators and strategies of the implementation of CPS. Most of the positive experiences were related to the clinical skills and proactive attitudes of pharmacists. These findings may support pharmacists and health managers to implement CPS in health systems.Electronic supplementary materialThe online version of this article (10.1186/s12913-018-3403-4) contains supplementary material, which is available to authorized users.

Objective:To measure undergraduate pharmacy and medical students’ collaborative attitudes regarding Pharmacist–Physician collaboration.Methods:A cross-sectional descriptive study was conducted from September 2016 to February 2017 in Northeast Brazil. Pharmacy and medical students from the first and the last year of courses were invited to complete Portuguese version of Scale of Attitudes Toward Pharmacist-Physician Collaboration (SATP2C). Descriptive and comparative analyses were performed using IBM SPSS (22 version). Differences were considered significant when p<0.05.Results:Three hundred seventy students completed the SATP2C. Overall, the students had positive attitudes towards physician-pharmacist collaboration. There was no significant correlation between age and score (p=0.79). Women showed a more positive collaborative attitude than men (53.1, SD=6.8 vs. 55.1, SD=6.3). Pharmacy students had a higher score than medical students (57.5, SD=4.7, vs. 51.1, SD=6.4). The first-year medical students had a higher score than last-year medical students (52.3, SD=6.0 vs. 49.5, SD=6.6; p<0.007). There was no significant difference in the attitudes between the first and last year pharmacy students (p<0.007).Conclusions:Pharmacy and medical students showed positive attitudes towards physician-pharmacist collaboration. However, pharmacy students presented more collaborative attitudes than medical ones. Additionally, the first-year medical students had more collaborative attitudes than last-year medical students. Studies should be conducted to provide recommendations to improve interprofessional education efforts to further enhance the positive attitudes toward physician-pharmacist collaboration.

Rationale, aims, and objectives:Counselling is essential in drug dispensing, since it enables patients to receive and understand the information to correctly use their medicines. Although counselling is a quality indicator on drug dispensing, models that guide pharmacists in this practice are scarce. Thus, this study aimed to develop and validate the content of an instrument to support pharmaceutical counselling for dispensing of prescribed medicines. Method:A two-stage validation study was conducted out from February to October 2017. The first stage involved the development of the instrument, and the second involved content validation. Instrument development included the following three steps: (1) drafting of the prototype; (2) an academic brainstorming meeting, and (3) a pre-Delphi process. Content validation was then conducted using the Delphi technique. At this stage, 40 pharmacists who were experts in drug dispensing, were invited to assess the instrument. Consensus among experts was calculated according to the content validity index (CVI). Results:The development stage generated three versions of the instrument: the prototype, Version 1 (modified after brainstorming meeting), and Version 2 (modified after the pre-Delphi process). Version 2 underwent the content validation process, in which 29 pharmacists participated during the first round (rate of return: 72.5%) and 23 of these during the second round (rate of return: 79.31%). All items obtained CVI > 0.82 and were thus considered to be validated. The final instrument comprised three components: suggestions for questions, dispensing process reasoning, and suggestions for counselling, and other conduct in 11 stages, each representing a step in the clinical reasoning process. Conclusions:An instrument was developed to support pharmaceutical counselling for dispensing of prescribed medicines, suggesting main questions, counselling, and conduct to be taken by pharmacists, and its content validity was verified.

Background: Current evidence of the influence of the medication regimen complexity (MRC) on the patients’ clinical outcomes are not conclusive. Objective: To systematically and analytically assess the association between MRC measured by the Medication Regimen Complexity Index (MRCI) and clinical outcomes. Methods: A search was carried out in the databases Cochrane Library, LILACS, PubMed, Scopus, EMBASE, Open Thesis, and Web of Science to identify studies evaluating the association between MRC and clinical outcomes that were published from January 1, 2004, to April 2, 2018. The search terms included outcome assessment, drug therapy, and medication regimen complexity index and their synonyms in different combinations for case-control and cohort studies that used the MRCI to measure MRC and related the MRCI with clinical outcomes. Odds ratios (ORs), hazard ratios (HRs), and mean differences (WMDs) were calculated, and heterogeneity was assessed using the I2 test. Results: A total of 12 studies met the eligibility criteria. The meta-analysis showed that MRC is associated with the following clinical outcomes: hospitalization (HR = 1.20; 95% CI = 1.14 to 1.27; I2 = 0%) in cohort studies, hospital readmissions (WMD = 7.72; 95% CI = 1.19 to 14.25; I2 = 84%) in case-control studies, and medication nonadherence (adjusted OR = 1.05; 95% CI = 1.02 to 1.07; I2 = 0%) in cohort studies. Conclusion and Relevance: This systematic review and meta-analysis gathered relevant scientific evidence and quantified the combined estimates to show the association of MRC with clinical outcomes: hospitalization, hospital readmission, and medication adherence.