Browsing by Author "Rennie, Timothy William"

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    A model to strengthen utility of quality pharmaceutical health systems data in resource-limited settings
    (SAGE Publications, 2020) Kagoya, Harriet Rachel; Kibuule, Dan; Rennie, Timothy William; Mitonga, Honoré Kabwebwe
    Background: Limited utility of quality health data undermines efforts to strengthen healthcare delivery, particularly in resource-limited settings. Few studies model the effective utility of quality pharmaceutical information system (PIS) data in sub-Saharan Africa, typified with weak health systems. Aim: To develop a model and guidelines for strengthening utility of quality PIS data in public healthcare in Namibia, a resource-limited setting. Methods: A qualitative model based on Dickoff et al. practice-oriented theory, Chinn and Jacobs’ systematic approach to theory, and applied consensus techniques. Data from nationwide studies on quality and utility of PIS data in public healthcare conducted between 2018 and March 2020 informed the development of the model concepts. Pharmaceutical and public health systems experts validated the final model. Results: Overall, four preliminary national studies that recruited 58 PIS focal persons at 38 public health facilities and national level informed the development of four model concepts. The model describes concepts on access, management, dissemination, and utility of quality PIS data. Activities to implement the model in practice include grass-root integration of real-time automated pharmaceutical intelligence systems to collect, consolidate, monitor, and report PIS data. Strengthening coordination, human resources, and technical capacity through support supervisory systems at grass-root facilities are key activities. PIS focal persons at health facility and national level are agents to implement these activities among recipients, that is, healthcare professionals at points of care. Guidelines for implementation of the model at point of care are included. Experts described the model as clear, simple, comprehensive, and integration of pharmaceutical intelligence systems at point of care as novel and of importance to enhance utility of quality PIS data in resource-limited settings. Conclusion: While utility of quality PIS data is limited in Namibia, advantages of the model are encouraging, toward building resilient pharmaceutical intelligence systems at grass roots in resource-limited countries, where there are not only weak health systems, but high burden of misuse of medicines. Keywords: Data, health, information systems, pharmaceutical, quality, utility
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    Alignment of standard treatment guidelines with medicine use indicators in a limited-resource setting:
    (JPHSR, 2020) Kagoya, Harriet Rachel; Rennie, Timothy William; Kibuule, Dan; Mitonga, Honore Kabwebwe
    Background Standard treatment guidelines (STGs) are a critical public health tool for promoting rational use of medicines. No studies have evaluated alignment of STGs with medicine use indicators especially in low and-middle-income countries (LMICs) with disproportionate burden of disease and irrational medicine use. Objective To determine the level of alignment of Namibia’s STGs with WHO medicine use indicators. Methods A descriptive policy analysis of alignment of Namibia’s STGs and WHO medicine use indicators. Thirty-two conditions/diseases prevalent and managed at primary healthcare level were included in the study of alignment of the STGs with two WHO medicine use indicators in terms of average number of medicines/condition (polypharmacy, WHO target <2) and antibiotic prescribing (WHO target <30%) after adjusting for estimated encounters per condition. Data were analyzed using (SPSSv24 software, IBM Corporation, NY) to determine frequencies, percentages and means. Key findings Of the 32 conditions/diseases studied, 41% had three or more medicines per condition indicated in the STGs. The weighted minimum and maximum average number of medicines/condition/encounter in the STGs were 2.62 and 2.78 respectively. Antibiotics were indicated for 72% (weighted per encounter = 75%) of the 32 conditions. Conditions/diseases of the urogenital system had the highest antibiotics indicated in the STGs (100%); respiratory (80%); ENT (80%); gastrointestinal (33%) before weighting conditions for estimated patient encounters, while ENT conditions had the highest antibiotics (32%) after weighting. Conclusions Alignment of Namibia STGs and medicine use targets is sub-optimal. The STGs have a high indication of antibiotics and polypharmacy. Misalignment is the main contributor to sub-optimal medicine use indicators with respect to average number of medicines and antibiotics. Countries should review their STGs and align with medicine use indicators to enhance rational medicine use and fight antimicrobial resistance. This article provides guidance for aligning STGs with medicine use indicators. Keywords antimicrobial resistance; indicators; low-and-middle income countries; medicine use; standard treatment guidelines (STGs)
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    Predictors of loss to follow-up of tuberculosis cases under the DOTS programme in Namibia
    (ERJ, 2020) Kibuule, Dan; Aiases, Philomein; Ruswa, Nunurai; Rennie, Timothy William; Verbeeck, Roger K.; Godman, Brian; Mubita, Mwangana
    Background: In Namibia, one out of every 25 cases of tuberculosis (TB) is “lost to follow-up” (LTFU). This has impacted negatively on national efforts to end the disease by 2035. The aim of this study was to determine the trends and predictors of LTFU under the directly observed treatment short-course (DOTS) programme in Namibia. Methods: The study involved a retrospective longitudinal analysis of a nationwide cohort of TB cases registered under the DOTS programme in Namibia from 2006 to 2015. The trends and predictors of LTFU among cases in the National Electronic TB Register of the National TB and Leprosy Program were respectively determined by interrupted time series and multivariate logistic regression analyses using R-Studio software. Results: Out of 104 203 TB cases, 3775 (3.6%) were LTFU. A quarter (26%) of cases with poor outcomes were due to LTFU. The annual decline in cases of LTFU was significant between the first (2005–2010) and second (2010–2015) medium-term plan period for TB programme implementation ( p=0.002). The independent predictors of LTFU were male sex ( p=0.004), 15–24 years age group ( p=0.03), provider of treatment ( p<0.001), intensive phase ( p=0.047) and living in border/transit regions ( p<0.001). HIV co-infection and TB regimen were not significant predictors of LTFU. Conclusions: There were declining trends in LTFU in Namibia. DOTS programmes should integrate socioeconomic interventions for young and middle-aged adult male TB cases to reduce LTFU.