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1.
JRSM Open ; 15(3): 20542704241232814, 2024 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-38560365

RESUMO

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.

2.
PLOS Glob Public Health ; 3(1): e0000625, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-36962957

RESUMO

The clinical features of COVID-19 and malaria are interrelated. Due to the similarity of symptoms between the two disease states, patients can be incorrectly diagnosed with the other ailment in areas with limited health resources. There is a dearth of knowledge of co-infection between COVID-19 and malaria from healthcare providers' perspective. Hence, this study assessed the ability of primary healthcare workers to diagnose malaria infection correctly from COVID-19 infection. A multistage sampling technique was used to select health care workers who were directly involved in malaria case management at 261 government-owned primary health facilities in Oyo State. Socio-demographic characteristics of respondents, knowledge and practices, COVID-19 differential diagnosis and challenges that healthcare workers face regarding malaria diagnosis were obtained using a standardized electronic structured questionnaire. Descriptive statistics, bivariate and multivariate analysis were conducted on data collected and significant results were interpreted at a 5% level of significance. A good percentage of the respondents (81.6%, 74.3%) had good knowledge about malaria and COVID-19. However, the knowledge gained did not translate to practice, as majority (86.2%) of respondents had poor malaria diagnosis practices. Practices relating to COVID-19 differential diagnosis in 69.7% of respondents were also poor. Most of the respondents attributed poor practices to the unavailability of Malaria Rapid Diagnostic Test (mRDT), inadequate training and continuous capacity improvement. Only 12.3% of the respondents have not had any form of training on malaria diagnosis and treatment in the last five years. Harmonization of regular trainings and continuous on-the job capacity building is essential to improve case identification, diagnosis and management of both ailments. Also, uninterrupted supplies of essential commodities such as mRDT in laboratories will reduce missed opportunities for malaria diagnosis.

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