Methods: A cross-sectional study, using a validated 23-item self-administered questionnaire, was conducted among pharmacists from 11 public hospitals in the State of Selangor, Malaysia, from December 2016 to January 2017. All public hospital pharmacists (n=432) were invited to participate in the survey. A 5-point Likert scale was employed in the questionnaire; the perception section was scored from 1 (strongly disagree) to 5 (strongly agree) while the practice section was scored from 1 (never) to 5 (always). Both descriptive and inferential statistical analyses were used to analyse data.
Results: Of the 432 pharmacists surveyed, 199 responded, giving a response rate of 46.0%. The majority of the respondents agreed (n=190, 95.5%) that the AMS programme improves patient care at their hospitals (median=5; IQR=1). Slightly less than half of the respondents indicated that a local antibiotic guideline was established in their hospitals (median=3, IQR=2.5), and had taken part in antimicrobial awareness campaigns to promote optimal use of antimicrobials in hospitals (median=3, IQR=1).
Conclusions: Overall, the perception and practices of the surveyed hospital pharmacists towards AMS programme were positive. National antibiotic guidelines, which take into consideration local antimicrobial resistance patterns, should be used fully to improve antimicrobial usage and to reduce practice variation. Collaboration among healthcare professionals should be strengthened to minimise the unfavourable consequences of unintended use of antimicrobial agents while optimising clinical outcomes.
METHODS: A semistructured interview study was conducted among 17 patients and 18 pharmacists in three tertiary hospitals in Malaysia. All interviews were audiotaped and transcribed verbatim. Themes were developed using a constant comparison approach and thematic analysis.
RESULTS: Five main themes emerged from the data, namely, achieving mutual understanding, recognizing individuality, communication style, information giving, and medication decision making. For both pharmacists and patients, a PCC consultation should promote mutual understanding and non-judgmental discussions. Communication was an important element to bridge the gap between patients' and pharmacists' expectations. Patients emphasized the importance of emotional aspects of the consultation, while pharmacists emphasized the importance of evidence-based information to support patient engagement and information needs.
CONCLUSIONS: Comparison of pharmacists' and patients' views provided insight towards important aspects of PCC in pharmacist-patient consultations. It was suggested that PCC is not a one-sided approach but rather a patient-provider collaboration to optimize the consultation. Further research can be done to improve the integration of PCC in the local health care context, including pharmacist consultations.
Method: We used pharmacy dispensing data of 1461 eligible T2DM patients from public primary care clinics in Malaysia treated with oral antidiabetic drugs between January 2018 and May 2019. Adherence rates were calculated during the period preceding the HbA1c measurement. Adherence cut-off values for the following conditions were compared: adherence measure (MPR versus PDC), assessment period (90-day versus 180-day), and HbA1c target (⩽7.0% versus ⩽8.0%).
Results: The optimal adherence cut-offs for MPR and PDC in predicting HbA1c ⩽7.0% ranged between 86.1% and 98.3% across the two assessment periods. In predicting HbA1c ⩽8.0%, the optimal adherence cut-offs ranged from 86.1% to 92.8%. The cut-off value was notably higher with PDC as the adherence measure, shorter assessment period, and a stricter HbA1c target (⩽7.0%) as outcome.
Conclusion: We found that optimal adherence cut-off appeared to be slightly higher than the conventional value of 80%. The adherence thresholds may vary depending on the length of assessment period and outcome definition but a reasonably wise cut-off to distinguish good versus poor medication adherence to be clinically meaningful should be at 90%.
EDUCATIONAL ACTIVITY AND SETTING: A cross-sectional online survey involving second-year pharmacy students of Monash Malaysia (MA) and Monash Australia (PA) campuses was conducted. The survey consisted of 15 Likert-scale multiple-choice questions and an open-ended question. Data were analysed statistically.
FINDINGS: Students at both MA and PA campuses were satisfied with the remote online learning experienced during the pandemic but indicated a preference for a blended learning approach. Students at the MA campus felt that on-campus face-to-face classes were more engaging and advantageous for their learning and skills development (P
METHODS: A total of 1113 patient dispenser interactions were observed from a randomly selected sample of 371 pharmacies by using convenient sampling technique in the three respective cities namely Islamabad (118), Peshawar (120) and Lahore (133). The data collection tool was adapted from WHO structure observation form and was modified according to the objectives of the study.
MAIN OUTCOME MEASURES: The process of prescription handling at community pharmacies in terms of patient dispenser interaction, prescription validation and medication counseling was assessed. The data was coded, entered and analyzed by using SPSS Version 16.
RESULTS: A total of 1113 patient dispenser interactions were observed at the community pharmacies in the three respective cities namely Islamabad (n = 354), Peshawar (n = 360) and Lahore (n = 399). Out of 1113 patient/dispenser interactions the providers present at the community pharmacies were; pharmacist (degree of B-pharm/pharm D) 1.6% (n = 18), pharmacy assistant (diploma in pharmacy) 7% (n = 78), diploma holder (certified course of drug dispensing) 5.6% (n = 62) and salesmen (no medicine related education) 85.8% (n = 955).There was no significant difference in the practice between pharmacists, pharmacy assistants, diploma holders and salesmen. Prescription validation was carried out in 18% (n = 206) of the cases, drugs verification in 32% (n = 360) of the cases while labelling of drugs was performed in only 6% (n = 76) of the cases. Completely counselling about medication was provided in 3.1% (n = 35) of the cases while no counselling at all was given in 52.7% (n = 582) of the cases.
CONCLUSION: The process of medication counselling and dispensing practices at community pharmacies in Pakistan is not satisfactory. The patients are largely handled by unqualified salesmen. Thus there is a strong need to improve medication counselling and dispensing practices at community pharmacies by improving the skills of the dispensers through a mix of interventions, and law should be implemented to ensure presence of qualified person which in turn will result in the provision of better patient oriented services at community pharmacies.
METHOD: This is a non-interventional, retrospective analysis of documented CPI in a 100-bed, acute-care private hospital in Amman, Jordan. Study consisted of 542 patients, 574 admissions, and 1694 CPI. Team collected demographic and clinical data using a standardized tool. Input consisted of 54 variables with some taking merely repetitive values for each CPI in each patient whereas others varying with every CPI. Therefore, CPI was consolidated to one rejected and/or one accepted per patient per admission. Groups of accepted and rejected CPI were compared in terms of matched and unmatched variables. ANN were, subsequently, trained and internally as well as cross validated for outcomes of interest. Outcomes were length of hospital and intensive care stay after the index CPI (LOSTA & LOSICUA, respectively), readmissions, mortality, and cost of hospitalization. Best models were finally used to compare the two scenarios of approving 80% versus 100% of CPI. Variable impacts (VI) automatically generated by the ANN were compared to evaluate the effect of rejecting CPI. Main outcome measure was Lengths of hospital stay after the index CPI (LOSTA).
RESULTS: ANN configurations converged within 18 s and 300 trials. All models showed a significant reduction in LOSTA with 100% versus 80% accepted CPI of about 0.4 days (2.6 ± 3.4, median (range) of 2 (0-28) versus 3.0 ± 3.8, 2 (0-30), P-value = 0.022). Average savings with acceptance of those rejected CPI was 55 JD (~ 78 US dollars) and could help hire about 1.3 extra clinical pharmacist full-time equivalents.
CONCLUSIONS: Maximizing acceptance of CPI reduced the length of hospital stay in this model. Practicing Clinical Pharmacists may qualify for further privileges including promotion to a fully independent prescriber status.