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Babatunde D, Pollock AM, Ocan M, Brhlikova P. Audit of essential medicine listing and registration status of medicines on standard treatment guidelines in Kenya, Tanzania and Uganda: Case study of malaria, tuberculosis, hypertension and type 2 diabetes mellitus. JRSM Open 2024; 15:20542704241232814. [PMID: 38560365 PMCID: PMC10981236 DOI: 10.1177/20542704241232814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024] Open
Abstract
Objectives To determine alignment between national and World Health Organization (WHO) treatment recommendations, medicines prioritisation in country's essential medicines list (EML), and medicines availability in National drug register. Design An audit of medicines for malaria, tuberculosis, hypertension and type 2 diabetes mellitus listed in the national standard treatment guidelines (STGs) of Kenya, Tanzania and Uganda, as of March 2021, against WHO treatment guidelines, and respective country EML and National drug register. Setting Not applicable. Participants None. Main outcome measures Proportion of medicine in country's STGs that align with WHO treatment recommendations, country's EML and country's drug register. Results Some disease areas had two sets of treatment guidelines - national STGs and disease-specific treatment guidelines (DSGs) developed at different times with different recommended medicines. Both STGs and DSGs included medicines not recommended by the WHO or not listed on the country EML and drug register. Non-WHO-recommended medicines accounted for 17/68 (25%), 10/57 (18%) and 3/30 (10%) of all STG medicines in Kenya, Tanzania and Uganda, respectively. For tuberculosis, the numbers and proportion of STG medicines listed on the respective national EMLs were 2/6 (33%), 15/19 (79%) and 4/5 (80%) in Kenya, Tanzania and Uganda. All tuberculosis medicines included in Kenya's and Uganda's STGs were registered compared with only 12/19 (63%) tuberculosis medicines in Tanzania's STG. Conclusions Alignment between treatment guidelines, EMLs and drug registers is crucial for effective national pharmaceutical policy. Research is needed to understand the inclusion of medicines on STGs and DSGs which fall outside WHO treatment guidelines; the non-alignment of some STGs and DSGs, and STGs and DSGs including medicines which are not on country EML and drug register.
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Affiliation(s)
- Deborah Babatunde
- Health System Strengthening, APIN Public Health Initiatives, Abeokuta, Ogun State, Nigeria
| | - Allyson M Pollock
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Moses Ocan
- Department of Pharmacology & Therapeutics, Makerere University, Kampala, Uganda
| | - Petra Brhlikova
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
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Nyanchoka M, Mulaku M, Nyagol B, Owino EJ, Kariuki S, Ochodo E. Implementing essential diagnostics-learning from essential medicines: A scoping review. PLOS GLOBAL PUBLIC HEALTH 2022; 2:e0000827. [PMID: 36962808 PMCID: PMC10121180 DOI: 10.1371/journal.pgph.0000827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 11/17/2022] [Indexed: 12/24/2022]
Abstract
The World Health Organization (WHO) model list of Essential In vitro Diagnostic (EDL) introduced in 2018 complements the established Essential Medicines List (EML) and improves its impact on advancing universal health coverage and better health outcomes. We conducted a scoping review of the literature on implementing the WHO essential lists in Africa to inform the implementation of the recently introduced EDL. We searched eight electronic databases for studies reporting on implementing the WHO EDL and EML in Africa. Two authors independently conducted study selection and data extraction, with disagreements resolved through discussion. We used the Supporting the Use of Research Evidence (SURE) framework to extract themes and synthesised findings using thematic content analysis. We used the Mixed Method Appraisal Tool (MMAT) version 2018 to assess the quality of included studies. We included 172 studies reporting on EDL and EML after screening 3,813 articles titles and abstracts and 1,545 full-text papers. Most (75%, n = 129) studies were purely quantitative in design, comprising descriptive cross-sectional designs (60%, n = 104), 15% (n = 26) were purely qualitative, and 10% (n = 17) had mixed-methods approaches. There were no qualitative or randomised experimental studies about EDL. The main barrier facing the EML and EDL was poorly equipped health facilities-including unavailability or stock-outs of essential in vitro diagnostics and medicines. Financial and non-financial incentives to health facilities and workers were key enablers in implementing the EML; however, their impact differed from one context to another. Only fifty-six (33%) of the included studies were of high quality. Poorly equipped and stocked health facilities remain an implementation barrier to essential diagnostics and medicines. Health system interventions such as financial and non-financial incentives to improve their availability can be applied in different contexts. More implementation study designs, such as experimental and qualitative studies, are required to evaluate the effectiveness of essential lists.
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Affiliation(s)
- Moriasi Nyanchoka
- Centre for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Mercy Mulaku
- Centre for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya
- Centre for Evidence-based Health Care, Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
- Department of Pharmacology, Clinical Pharmacy, and Pharmacy Practice, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya
| | - Bruce Nyagol
- Centre for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Eddy Johnson Owino
- Centre for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Simon Kariuki
- Centre for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya
| | - Eleanor Ochodo
- Centre for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya
- Centre for Evidence-based Health Care, Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
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Sangeda RZ, Saburi HA, Masatu FC, Aiko BG, Mboya EA, Mkumbwa S, Bitegeko A, Mwalwisi YH, Nkiligi EA, Chambuso M, Sillo HB, Fimbo AM, Horumpende PG. National Antibiotics Utilization Trends for Human Use in Tanzania from 2010 to 2016 Inferred from Tanzania Medicines and Medical Devices Authority Importation Data. Antibiotics (Basel) 2021; 10:antibiotics10101249. [PMID: 34680829 PMCID: PMC8532727 DOI: 10.3390/antibiotics10101249] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 09/03/2021] [Accepted: 09/05/2021] [Indexed: 01/21/2023] Open
Abstract
Antimicrobial use (AMU) is one of the major drivers of emerging antimicrobial resistance (AMR). The surveillance of AMU, which is a pillar of AMR stewardship (AMS), helps devise strategies to mitigate AMR. This descriptive, longitudinal retrospective study quantified the trends in human antibiotics utilization between 2010 and 2016 using data on all antibiotics imported for systemic human use into Tanzania’s mainland. Regression and time series analyses were used to establish trends in antibiotics use. A total of 12,073 records for antibiotics were retrieved, totaling 154.51 Defined Daily Doses per 1000 inhabitants per day (DID), with a mean (±standard deviation) of 22.07 (±48.85) DID. The private sector contributed 93.76% of utilized antibiotics. The top-ranking antibiotics were amoxicillin, metronidazole, tetracycline, ciprofloxacin, and cefalexin. The DIDs and percentage contribution of these antibiotics were 53.78 (34.81%), 23.86 (15.44), 20.53 (13.29), 9.27 (6.0) and 6.94 (4.49), respectively. The time series model predicted a significant increase in utilization (p-value = 0.002). The model forecasted that by 2022, the total antibiotics consumed would be 89.6 DIDs, which is a 13-fold increase compared to 2010. Government intervention to curb inappropriate antibiotics utilization and mitigate the rising threat of antibiotic resistance should focus on implementing AMS programs in pharmacies and hospitals in Tanzania.
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Affiliation(s)
- Raphael Zozimus Sangeda
- Department of Pharmaceutical Microbiology, Muhimbili University of Health and Allied Sciences, P.O. Box 65013, Dar es Salaam, Tanzania;
- Correspondence:
| | - Habibu Ally Saburi
- Department of Pharmaceutical Microbiology, Muhimbili University of Health and Allied Sciences, P.O. Box 65013, Dar es Salaam, Tanzania;
- Tanzania Medicines and Medical Devices Authority, P.O. Box 77150, Dar es Salaam, Tanzania; (F.C.M.); (S.M.); (A.B.); (Y.H.M.); (E.A.N.); (A.M.F.)
| | - Faustine Cassian Masatu
- Tanzania Medicines and Medical Devices Authority, P.O. Box 77150, Dar es Salaam, Tanzania; (F.C.M.); (S.M.); (A.B.); (Y.H.M.); (E.A.N.); (A.M.F.)
| | - Beatrice Godwin Aiko
- Department of Pharmaceutics and Pharmacy Practice, Muhimbili University of Health and Allied Sciences, P.O. Box 65013, Dar es Salaam, Tanzania;
| | - Erick Alexander Mboya
- Department of Epidemiology and Biostatistics, School of Public Health and Social Sciences, Muhimbili University of Health and Allied Sciences, P.O. Box 65001, Dar es Salaam, Tanzania;
| | - Sonia Mkumbwa
- Tanzania Medicines and Medical Devices Authority, P.O. Box 77150, Dar es Salaam, Tanzania; (F.C.M.); (S.M.); (A.B.); (Y.H.M.); (E.A.N.); (A.M.F.)
| | - Adonis Bitegeko
- Tanzania Medicines and Medical Devices Authority, P.O. Box 77150, Dar es Salaam, Tanzania; (F.C.M.); (S.M.); (A.B.); (Y.H.M.); (E.A.N.); (A.M.F.)
| | - Yonah Hebron Mwalwisi
- Tanzania Medicines and Medical Devices Authority, P.O. Box 77150, Dar es Salaam, Tanzania; (F.C.M.); (S.M.); (A.B.); (Y.H.M.); (E.A.N.); (A.M.F.)
| | - Emmanuel Alphonse Nkiligi
- Tanzania Medicines and Medical Devices Authority, P.O. Box 77150, Dar es Salaam, Tanzania; (F.C.M.); (S.M.); (A.B.); (Y.H.M.); (E.A.N.); (A.M.F.)
| | - Mhina Chambuso
- Department of Pharmacy, Kampala International University in Tanzania, P.O. Box 9790, Dar es Salaam, Tanzania;
| | - Hiiti Baran Sillo
- Regulation and Prequalification Department, World Health Organization, 1211 Geneva, Switzerland;
| | - Adam M. Fimbo
- Tanzania Medicines and Medical Devices Authority, P.O. Box 77150, Dar es Salaam, Tanzania; (F.C.M.); (S.M.); (A.B.); (Y.H.M.); (E.A.N.); (A.M.F.)
| | - Pius Gerald Horumpende
- Department of Biochemistry and Molecular Biology, Kilimanjaro Christian Medical University College, P.O. Box 2232, Moshi, Tanzania;
- Kilimanjaro Clinical Research Institute (KCRI), P.O. Box 2232, Moshi, Tanzania
- Lugalo Infectious Diseases Hospital and Research Centre, General Military Hospital (GMH) and Military College of Medical Sciences (MCMS), P.O. Box 60126, Dar es Salaam, Tanzania
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