TY - JOUR
T1 - Pharmaceutical perspective of drivers of antimicrobial resistance and control strategies in Ghana
T2 - a best-worst scaling experiment modeling
AU - Akoto, Francisca Mawulawoe
AU - Nyarko, Eric
AU - Nortey, Priscilla Awo
AU - Doku-Amponsah, Kwabena
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12
Y1 - 2025/12
N2 - Background: Antimicrobial resistance (AMR) is an international health concern caused by the inappropriate use of antibiotics. This study sought to evaluate the perceived drivers of AMR and strategies for controlling it, supporting the World Health Organization’s (WHO) and Ghana’s national action plan on AMR. Methods: This cross-sectional study was conducted between July and August 2022 among 200 staff members in medicine sales outlets in the Greater Accra region using a two-stage clustering and simple random sampling method. They completed an interviewer-administered questionnaire. The study used the maximum difference model to determine the perceived drivers of AMR and strategies for controlling it. Results: The results showed that 68.5% of respondents were male. Among them, 83% had 1 to 5 years of experience, with 47.5% working as pharmacists in pharmacy stores. Additionally, 39% had participated in a Pharmacy Council-sponsored antimicrobial dispensing training program. The model results revealed that Non-adherence to antimicrobial prescription was highly prioritized as a driver of AMR (Utility estimate (UE) = 0.579, 95% CI 0.496, 0.664), followed by client’s familiarity with the availability of a pharmacist at the medicine outlet who can offer advice (UE = 0.115, 95% CI 0.038, 0.192), unnecessary antimicrobial prescribing and dispensing (UE = 0.111, 95% CI 0.034, 0.189), as well as random prescription of antibiotics (UE = 0.095, 95% CI 0.018, 0.173). These drivers can be effectively controlled by following medicine outlets’ staff advice for prescribed antibiotics (UE = 0.280, 95% CI 0.189, 0.372), organizing awareness campaigns and educative sessions for medical professionals (UE: 0.224, 95% CI 0.133, 0.316) and conducting antibiotic sensitivity testing before prescribing antibiotics (UE: 0.151, 95% CI 0.060, 0.242). Conclusions: This study offers quantitative information that can enhance the management of antimicrobial use and the implementation of strategies to control antimicrobial resistance, supporting the WHO’s and Ghana’s national action plan on AMR.
AB - Background: Antimicrobial resistance (AMR) is an international health concern caused by the inappropriate use of antibiotics. This study sought to evaluate the perceived drivers of AMR and strategies for controlling it, supporting the World Health Organization’s (WHO) and Ghana’s national action plan on AMR. Methods: This cross-sectional study was conducted between July and August 2022 among 200 staff members in medicine sales outlets in the Greater Accra region using a two-stage clustering and simple random sampling method. They completed an interviewer-administered questionnaire. The study used the maximum difference model to determine the perceived drivers of AMR and strategies for controlling it. Results: The results showed that 68.5% of respondents were male. Among them, 83% had 1 to 5 years of experience, with 47.5% working as pharmacists in pharmacy stores. Additionally, 39% had participated in a Pharmacy Council-sponsored antimicrobial dispensing training program. The model results revealed that Non-adherence to antimicrobial prescription was highly prioritized as a driver of AMR (Utility estimate (UE) = 0.579, 95% CI 0.496, 0.664), followed by client’s familiarity with the availability of a pharmacist at the medicine outlet who can offer advice (UE = 0.115, 95% CI 0.038, 0.192), unnecessary antimicrobial prescribing and dispensing (UE = 0.111, 95% CI 0.034, 0.189), as well as random prescription of antibiotics (UE = 0.095, 95% CI 0.018, 0.173). These drivers can be effectively controlled by following medicine outlets’ staff advice for prescribed antibiotics (UE = 0.280, 95% CI 0.189, 0.372), organizing awareness campaigns and educative sessions for medical professionals (UE: 0.224, 95% CI 0.133, 0.316) and conducting antibiotic sensitivity testing before prescribing antibiotics (UE: 0.151, 95% CI 0.060, 0.242). Conclusions: This study offers quantitative information that can enhance the management of antimicrobial use and the implementation of strategies to control antimicrobial resistance, supporting the WHO’s and Ghana’s national action plan on AMR.
KW - Antimicrobial resistance
KW - Best-worst scaling experiment
KW - Ghana
KW - Maximum difference modelling
KW - Medicine sales outlet
UR - https://www.scopus.com/pages/publications/105015193333
U2 - 10.1186/s12982-025-00942-7
DO - 10.1186/s12982-025-00942-7
M3 - Article
AN - SCOPUS:105015193333
SN - 1742-7622
VL - 22
JO - Discover public health
JF - Discover public health
IS - 1
M1 - 519
ER -