Retrospective antimicrobial consumption surveillance at health facility level in Dodoma Region, Tanzania
Introduction Antimicrobial resistance (AMR) is a major threat in sub-Saharan Africa (SSA), but assessments of antimicrobial consumption (AMC) are limited. This study aimed to investigate regional AMC and resistance patterns in a representative area of Tanzania and to introduce a method for determini...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2025-05-01
|
| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/15/5/e096682.full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849328586483302400 |
|---|---|
| author | Karin Wiedenmayer Samuel Mungai Romuald Mbwasi Calvin Andeve Omolo Eva Ombaka Rajabu Mohamedi Kingo |
| author_facet | Karin Wiedenmayer Samuel Mungai Romuald Mbwasi Calvin Andeve Omolo Eva Ombaka Rajabu Mohamedi Kingo |
| author_sort | Karin Wiedenmayer |
| collection | DOAJ |
| description | Introduction Antimicrobial resistance (AMR) is a major threat in sub-Saharan Africa (SSA), but assessments of antimicrobial consumption (AMC) are limited. This study aimed to investigate regional AMC and resistance patterns in a representative area of Tanzania and to introduce a method for determining AMC in low-resource settings.Design and methods We conducted a retrospective study using prescription data collected over 5 years (2013–2017) from multiple hospitals and selected primary health facilities in the Dodoma Region of Tanzania. The study employed the WHO’s Anatomical Therapeutic Chemical (ATC) classification and Daily Defined Dose (DDD) methodology to quantify antimicrobial use. Outpatient prescription records that met our inclusion criteria were analysed, while incomplete records were excluded. Sensitivity testing for frequently prescribed antimicrobials was performed against representative gram-negative and gram-positive bacteria, with resistance expressed as minimum inhibitory concentrations and resistance percentages.Setting and participants This study was conducted across several high-volume healthcare facilities in the Dodoma Region, encompassing both hospital and primary care settings. The dataset comprises outpatient prescription records from these facilities, representing a significant proportion of the regional healthcare usage. The selected facilities were chosen based on their substantial catchment populations to maximise data volume and relevance.Outcome measures The primary outcome measure was the DDD per 1000 inhabitants per day (DID) for various antimicrobial classes. Secondary outcomes included the prevalence of specific drugs, such as amoxicillin and erythromycin, and their corresponding resistance profiles. Resistance data were quantitatively analysed, with particular attention given to penicillinase-sensitive penicillins and their resistance rates among gram-negative and Gram-positive bacteria.Results Analysis revealed that single penicillins, particularly amoxicillin, dominated prescriptions, accounting for 25% to 60% of hospitals and 13% to 29% of primary health centres. Erythromycin was prescribed in 9.4% to 25.1% of cases across facilities. The overall AMC in the region ranged from 36.7 to 50.2 DID during the study period, with consumption patterns showing an initial increase of 4.3% from 2013 to 2014, a subsequent 29.0% decrease from 2014 to 2015, followed by a 34.1% increase from 2015 to 2016 and a further 37.9% increase from 2016 to 2017. Resistance testing demonstrated that penicillinase-sensitive penicillins exhibited an average resistance rate of 87.3%, with gram-negative and gram-positive bacteria showing resistance levels of 90.1% (±8%) and 83.6% (±8%), respectively, indicating a statistically significant association (p<0.05) between high consumption and elevated resistance.Conclusion Our findings reveal that AMC in the Dodoma Region is high and is linked to significant resistance against commonly used agents. This study presents a robust method for monitoring AMC and resistance in a resource-efficient manner, offering potential applicability in similar settings across SSA. The data, though representing only a fraction of total antimicrobial use, underscore the urgent need for targeted antimicrobial stewardship interventions, particularly at the primary healthcare level. Future research should further investigate demographic influences and evaluate intervention strategies to mitigate AMR effectively. |
| format | Article |
| id | doaj-art-4b86910a282c44089a641ffbf21731e6 |
| institution | Kabale University |
| issn | 2044-6055 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-4b86910a282c44089a641ffbf21731e62025-08-20T03:47:33ZengBMJ Publishing GroupBMJ Open2044-60552025-05-0115510.1136/bmjopen-2024-096682Retrospective antimicrobial consumption surveillance at health facility level in Dodoma Region, TanzaniaKarin Wiedenmayer0Samuel Mungai1Romuald Mbwasi2Calvin Andeve Omolo3Eva Ombaka4Rajabu Mohamedi Kingo56 SCIH, Swiss Tropical and Public Health Institute, Allschwil, Switzerland5 United States International University, Nairobi, Kenya1 St John’s University of Tanzania, Dodoma, Tanzania2 School of Pharmacy and Health Sciences, United States International University, Nairobi, Kenya1 St John’s University of Tanzania, Dodoma, Tanzania4 Department of Pharmacy, The University of Dodoma, Dodoma, TanzaniaIntroduction Antimicrobial resistance (AMR) is a major threat in sub-Saharan Africa (SSA), but assessments of antimicrobial consumption (AMC) are limited. This study aimed to investigate regional AMC and resistance patterns in a representative area of Tanzania and to introduce a method for determining AMC in low-resource settings.Design and methods We conducted a retrospective study using prescription data collected over 5 years (2013–2017) from multiple hospitals and selected primary health facilities in the Dodoma Region of Tanzania. The study employed the WHO’s Anatomical Therapeutic Chemical (ATC) classification and Daily Defined Dose (DDD) methodology to quantify antimicrobial use. Outpatient prescription records that met our inclusion criteria were analysed, while incomplete records were excluded. Sensitivity testing for frequently prescribed antimicrobials was performed against representative gram-negative and gram-positive bacteria, with resistance expressed as minimum inhibitory concentrations and resistance percentages.Setting and participants This study was conducted across several high-volume healthcare facilities in the Dodoma Region, encompassing both hospital and primary care settings. The dataset comprises outpatient prescription records from these facilities, representing a significant proportion of the regional healthcare usage. The selected facilities were chosen based on their substantial catchment populations to maximise data volume and relevance.Outcome measures The primary outcome measure was the DDD per 1000 inhabitants per day (DID) for various antimicrobial classes. Secondary outcomes included the prevalence of specific drugs, such as amoxicillin and erythromycin, and their corresponding resistance profiles. Resistance data were quantitatively analysed, with particular attention given to penicillinase-sensitive penicillins and their resistance rates among gram-negative and Gram-positive bacteria.Results Analysis revealed that single penicillins, particularly amoxicillin, dominated prescriptions, accounting for 25% to 60% of hospitals and 13% to 29% of primary health centres. Erythromycin was prescribed in 9.4% to 25.1% of cases across facilities. The overall AMC in the region ranged from 36.7 to 50.2 DID during the study period, with consumption patterns showing an initial increase of 4.3% from 2013 to 2014, a subsequent 29.0% decrease from 2014 to 2015, followed by a 34.1% increase from 2015 to 2016 and a further 37.9% increase from 2016 to 2017. Resistance testing demonstrated that penicillinase-sensitive penicillins exhibited an average resistance rate of 87.3%, with gram-negative and gram-positive bacteria showing resistance levels of 90.1% (±8%) and 83.6% (±8%), respectively, indicating a statistically significant association (p<0.05) between high consumption and elevated resistance.Conclusion Our findings reveal that AMC in the Dodoma Region is high and is linked to significant resistance against commonly used agents. This study presents a robust method for monitoring AMC and resistance in a resource-efficient manner, offering potential applicability in similar settings across SSA. The data, though representing only a fraction of total antimicrobial use, underscore the urgent need for targeted antimicrobial stewardship interventions, particularly at the primary healthcare level. Future research should further investigate demographic influences and evaluate intervention strategies to mitigate AMR effectively.https://bmjopen.bmj.com/content/15/5/e096682.full |
| spellingShingle | Karin Wiedenmayer Samuel Mungai Romuald Mbwasi Calvin Andeve Omolo Eva Ombaka Rajabu Mohamedi Kingo Retrospective antimicrobial consumption surveillance at health facility level in Dodoma Region, Tanzania BMJ Open |
| title | Retrospective antimicrobial consumption surveillance at health facility level in Dodoma Region, Tanzania |
| title_full | Retrospective antimicrobial consumption surveillance at health facility level in Dodoma Region, Tanzania |
| title_fullStr | Retrospective antimicrobial consumption surveillance at health facility level in Dodoma Region, Tanzania |
| title_full_unstemmed | Retrospective antimicrobial consumption surveillance at health facility level in Dodoma Region, Tanzania |
| title_short | Retrospective antimicrobial consumption surveillance at health facility level in Dodoma Region, Tanzania |
| title_sort | retrospective antimicrobial consumption surveillance at health facility level in dodoma region tanzania |
| url | https://bmjopen.bmj.com/content/15/5/e096682.full |
| work_keys_str_mv | AT karinwiedenmayer retrospectiveantimicrobialconsumptionsurveillanceathealthfacilitylevelindodomaregiontanzania AT samuelmungai retrospectiveantimicrobialconsumptionsurveillanceathealthfacilitylevelindodomaregiontanzania AT romualdmbwasi retrospectiveantimicrobialconsumptionsurveillanceathealthfacilitylevelindodomaregiontanzania AT calvinandeveomolo retrospectiveantimicrobialconsumptionsurveillanceathealthfacilitylevelindodomaregiontanzania AT evaombaka retrospectiveantimicrobialconsumptionsurveillanceathealthfacilitylevelindodomaregiontanzania AT rajabumohamedikingo retrospectiveantimicrobialconsumptionsurveillanceathealthfacilitylevelindodomaregiontanzania |