75 research outputs found
Title redacted
No full textAbstract redacted"Scottish Funding Council/Global Challenges
Research Fund (grant number SMDO-XFC119) and the University of St Andrews (School of
Medicine),"--Fundin
A systematic review of strategies adopted to scale up COVID-19 testing in low, middle and high-income countries
No full textFunding: Authors acknowledge funding from the Scottish Funding Council/Global Challenges Research Fund grant (SMDO-XFC119) and the School of Medicine University of St Andrews that is funding Winters Muttamba’s PhD study.Objective We undertook a systematic review of strategies adopted to scale up COVID-19 testing in countries across income levels to identify successful approaches and facilitate learning. Methods Scholarly articles in English from PubMed, Google scholar and Google search engine describing strategies used to increase COVID-19 testing in countries were reviewed. Deductive analysis to allocate relevant text from the reviewed publications/reports to the a priori themes was done. Main results The review covered 32 countries, including 11 high-income, 2 upper-middle-income, 13 lower-middle-income and 6 low-income countries. Most low- and middle-income countries (LMICs) increased the number of laboratories available for testing and deployed sample collection and shipment to the available laboratories. The high-income countries (HICs) that is, South Korea, Germany, Singapore and USA developed molecular diagnostics with accompanying regulatory and legislative framework adjustments to ensure the rapid development and use of the tests. HICs like South Korea leveraged existing manufacturing systems to develop tests, while the LMICs leveraged existing national disease control programmes (HIV, tuberculosis, malaria) to increase testing. Continent-wide, African Centres for Disease Control and Prevention-led collaborations increased testing across most African countries through building capacity by providing testing kits and training. Conclusion Strategies taken appear to reflect the existing systems or economies of scale that a particular country could leverage. LMICs, for example, drew on the infectious disease control programmes already in place to harness expertise and laboratory capacity for COVID-19 testing. There however might have been strategies adopted by other countries but were never published and thus did not appear anywhere in the searched databases.Peer reviewe
Delays in diagnosis and treatment of pulmonary tuberculosis in patients seeking care at a regional referral hospital, Uganda:a cross sectional study
No full textObjective: A cross-sectional survey involving 134 pulmonary TB patients started on TB treatment at the TB Treatment Unit of the regional referral hospital was conducted to ascertain the prevalence of individual and health facility delays and associated factors. Prolonged health facility delay was taken as delay of more than 1 week and prolonged patient delay as delay of more than 3 weeks. A logistic regression model was done using STATA version 12 to determine the delays.Results: There was a median total delay of 13 weeks and 110 (82.1%) of the respondents had delay of more than 4 weeks. Patient delay was the most frequent and greatest contributor of total delay and exceeded 3 weeks in 95 (71.6%) respondents. At multivariate analysis, factors that influenced delay included poor patient knowledge on TB (adjOR 6.904, 95% CI 1.648-28.921; p = 0.04) and being unemployed (adjOR 3.947, 95% CI 1.382-11.274; p = 0.010) while being female was found protective of delay; adjOR 0.231, 95% CI 0.08-0.67; p = 0.007). Patient delay was the most significant, frequent and greatest contributor to total delay, and factors associated with delay included being unemployed, low knowledge on TB while being female was found protective of delay.</p
Delays in diagnosis and treatment of pulmonary tuberculosis in patients seeking care at a regional referral hospital, Uganda : a cross sectional study
No full textThis study was funded using Authors’ personal resources.Objective: A cross-sectional survey involving 134 pulmonary TB patients started on TB treatment at the TB Treatment Unit of the regional referral hospital was conducted to ascertain the prevalence of individual and health facility delays and associated factors. Prolonged health facility delay was taken as delay of more than 1 week and prolonged patient delay as delay of more than 3 weeks. A logistic regression model was done using STATA version 12 to determine the delays. Results: There was a median total delay of 13 weeks and 110 (82.1%) of the respondents had delay of more than 4 weeks. Patient delay was the most frequent and greatest contributor of total delay and exceeded 3 weeks in 95 (71.6%) respondents. At multivariate analysis, factors that influenced delay included poor patient knowledge on TB (adjOR 6.904, 95% CI 1.648-28.921; p = 0.04) and being unemployed (adjOR 3.947, 95% CI 1.382-11.274; p = 0.010) while being female was found protective of delay; adjOR 0.231, 95% CI 0.08-0.67; p = 0.007). Patient delay was the most significant, frequent and greatest contributor to total delay, and factors associated with delay included being unemployed, low knowledge on TB while being female was found protective of delay.Peer reviewe
Strategies to resolve the gap in adolescent tuberculosis care at four health facilities in Uganda: The teenager's TB pilot project.
No full textIn 2021, an estimated 10.6 million people fell ill with tuberculosis (TB) globally and 11.3% were children. About 40% of children aged five to fourteen years with TB are missed annually. In Uganda, 44% of adolescents with chronic cough of more than two weeks do not seek care from health facilities. Therefore, strategies to promote health care-seeking behaviour among adolescents were urgently needed to resolve the gap. In regard to this, the research project utilized a before and after design, in which the number of adolescents (10-19years) enrolled in the project health facilities were compared before and after the intervention. The intervention package that comprised of tuberculosis awareness and screening information was developed together with adolescents, thus; a human-centred approach was used. The package consisted of TB screening cards, poster messages and a local song. The song was broadcasted in the community radios. Poster messages were deployed in the community by the village health teams (VHTS). The TB screening cards were given to TB positive and presumptive adults to screen adolescents at home. Adolescents that were found with TB symptoms were referred to the project health facilities. Socio-demographic and clinical characteristics of eligible adolescents were collected in a period of six months from Kawolo, Iganga, Gombe and Kiwoko health facilities. To determine the effectiveness of the package, before and after intervention data were equally collected. A total of 394 adolescents were enrolled, majority (76%) were school going. The intervention improved adolescent TB care seeking in the four project health facilities. The average number of adolescents screened increased from 159 to 309 (incidence rate ratio (IRR) = 1.9, P<0.001, 95% CI [1.9, 2.0]). Those presumed to have TB increased from 13 to 29(IRR = 2.2, P<0.001, 95% CI [1.9, 2.5]). The ones tested with GeneXpert increased in average from 8 to 28(IRR = 3.3, P<0.001, 95% CI [2.8, 3.8]). There was a minimal increase in the average monthly number of adolescents with a positive result of 0.8, from 1.6 to 2.4(p = 0.170) and linkage to TB care services of 1.1, from 2 to 3.1(p = 0.154). The project improved uptake of TB services among adolescents along the TB care cascade. We recommend a robust and fully powered randomized controlled trial to evaluate the effectiveness of the Package
Accuracy of different Xpert MTB/Rif implementation strategies in programmatic settings at the regional referral hospitals in Uganda : evidence for country wide roll out
No full textFunding: This study was funded by the World Bank under the East Africa Public Health Laboratory Networking Project (EAPHLNP).Background: Xpert MTB/RIF assay is a highly sensitive test for TB diagnosis, but still costly to most low-income countries. Several implementation strategies instead of frontline have been suggested; however with scarce data. We assessed accuracy of different Xpert MTB/RIF implementation strategies to inform national roll-out. Methods: This was a cross-sectional study of 1,924 adult presumptive TB patients in five regional referral hospitals of Uganda. Two sputum samples were collected, one for fluorescent microscopy (FM) and Xpert MTB/RIF examined at the study site laboratories. The second sample was sent to the Uganda Supra National TB reference laboratory for culture using both Lowenstein Jensen (LJ) and liquid culture (MGIT). We compared the sensitivities of FM, Xpert MTB/RIF and the incremental sensitivity of Xpert MTB/RIF among patients negative on FM using LJ and/or MGIT as a reference standard. Results: A total 1924 patients were enrolled of which 1596 (83%) patients had at least one laboratory result and 1083 respondents had a complete set of all the laboratory results. A total of 328 (30%) were TB positive on LJ and /or MGIT culture. The sensitivity of FM was n (%; 95% confidence interval) 246 (63.5%; 57.9-68.7) overall compared to 52 (55.4%; 44.1-66.3) among HIV positive individuals, while the sensitivity of Xpert MTB/RIF was 300 (76.2%; 71.7-80.7) and 69 (71.6%; 60.5-81.1) overall and among HIV positive individuals respectively. Overall incremental sensitivity of Xpert MTB/RIF was 60 (36.5%; 27.7-46.0) and 20 (41.7%; 25.5-59.2) among HIV positive individuals. Conclusion: Xpert MTB/RIF has a higher sensitivity than FM both in general population and HIV positive population. Xpert MTB/RIF offers a significant increase in terms of diagnostic sensitivity even when it is deployed selectively i.e. among smear negative presumptive TB patients. Our results support frontline use of Xpert MTB/RIF assay in high HIV/TB prevalent countries. In settings with limited access, mechanisms to refer smear negative sputum samples to Xpert MTB/RIF hubs are recommended.Peer reviewe
Health seeking behavior among individuals presenting with chronic cough at referral hospitals in Uganda; missed opportunity for early tuberculosis diagnosis
No full textFunding: This study was conducted with funding from the World Bank under the East African Public Health Laboratory Networking Project (EAPHLNP).Background: Tuberculosis (TB) is the 9th leading cause of death from a single infectious agent. Patients live in a complex health care system with both formal and informal providers, and it is important that a TB diagnosis is not missed at the first interaction with the health care system. In this study, we highlight the health seeking behavior of patients and missed opportunities for early TB diagnosis for which interventions could be instituted to ensure early TB diagnosis and prompt TB treatment initiation. Methods: This study was nested in a cross-sectional study that assessed the accuracy of different Xpert MTB/Rif implementation strategies in programmatic settings at the referral hospitals in Uganda. We documented the symptom profile of presumptive TB patients and assessed the health seeking behavior of those with chronic cough by calculating proportion of patients that visited each type of health facility and further calculated the odds of being TB positive given the type of health facility initially visited for consultation. Results: A total of 1,863 presumptive TB patients were enrolled of which 979 (54.5%) were male, and 1795 (99.9%) had chronic cough. A total of 1352 (75.4%) had previously sought care for chronic cough, with 805 (59.6%) seeking care from a public health facility followed by private health facility (289; 21.4%). Up to 182 (13.5%) patients visited a drug store for chronic cough. Patients whose first contact was a private health facility were more likely to have a positive GeneXpert test (adjOR 1.4, 95% CI: 1.0-1.9; p = 0.047). Conclusions: Chronic cough is a main symptom for many of the presumptive TB patients presenting at referral hospitals, with several patients having to visit the health system more than once before a TB diagnosis is made. This suggests the need for patients to be thoroughly evaluated at first interface with the health care system to ensure prompt diagnosis and treatment initiation. Improved TB diagnosis possibly with the GeneXpert test, at first contact with the health care system has potential to increase TB case finding and break the transmission cycle in the community.Peer reviewe
Additional file 1 of Tuberculosis contact tracing yield and associated factors in Uganda
No full textAdditional file 1: Intensified Case Finding Form
A laboratory-focussed desk review of health systems in Uganda, Kenya, and the UK to respond to current and future pandemics
No full textBackground Laboratory systems play a crucial role in managing diseases effectively, and the COVID-19 pandemic serves as a prime example. The pandemic underscored the need to make laboratory health systems more resilient and robust to respond to future pandemics.Methods We conducted a desk review guided by the six World Health Organization health system building blocks (health service delivery, health financing, medical products, vaccines, and technologies, human resources for health, governance, and health information systems).Results The three countries’ strengths include health information systems, well-established reference laboratories, mobile and community-level testing, a vibrant private laboratory sector in Uganda and Kenya, and a growing private sector in the UK. In Uganda and Kenya, there are laboratory connectivity solutions for molecular diagnostics, multi-disease testing platforms and specimen referral systems, while in the UK, there are hub-and-spoke networks. Weaknesses in Uganda and Kenya include vertical laboratory systems strengthening, ill-equipped laboratories, constrained and inequitable distribution of laboratory human resources, and limited data use. In the UK, there is chronic underfunding and undervaluing of disciplines supporting infection testing, microbiology and virology.Conclusions The growing contribution of the private sector in the three countries and the deployment of multi-disease testing platforms should be supported, given the advantage of shared financial costs in the face of chronic underfunding for laboratory systems
Prevalence of tuberculosis risk factors among bacteriologically negative and bacteriologically confirmed tuberculosis patients from five regional referral hospitals in Uganda
No full textUnderstanding risk factors for tuberculosis (TB) and their prevalence helps guide early diagnosis. We determined their prevalence among bacteriologically negative and bacteriologically confirmed TB patients in five regional referral hospitals in Uganda. This cross-sectional study considered 1,862 adult presumptive TB participants. We performed fluorescent microscopy, Xpert MTB/RIF (Xpert), Lowenstein-Jensen culture, human immunodeficiency virus, and random blood sugar testing on recruited patients. Prevalence and prevalence ratios of risk factors were compared among bacteriologically negative and confirmed cases. Odds ratios and 95% confidence interval (CI) were determined for significant risk factors in bacteriologically confirmed patients. Of the 1,862 participants, 978 (55%) were male and the median age of the participants was 36 years (interquartile range: 27-48). Up to 273 (15%) had a positive result on all three TB tests. Most prevalent risk factors (prevalence ratio [PR] > 1.0) among bacteriologically negative and positive TB patients were cigarette smoking (9.3% versus 2.1%; PR = 2.1), biosmoke (24% versus 39.7%; PR = 1.7), contact (4.2% versus 6.5%; PR = 1.6), male gender (51.4% versus 72.5%; PR = 1.4), alcohol use (17.2% versus 24.4%; PR = 1.4), diabetes (0.7% versus 0.9%; PR = 1.3), and family history of TB (12.1% versus 13.7%; PR = 1.1). The risk factors and their adjusted prevalence rate ratios (95% CI) of being bacteriologically positive were male (1.8 [1.4-2.4]), biosmoke exposure (1.5 [1.2-2.0]), and history of cigarette smoking (1.6 [1.1-2.4]). Among bacteriologically confirmed patients in Uganda, cigarette smoking, biosmoke exposure, contact, male gender, alcohol use, diabetes, and family history of TB are important risk factors for TB. Interventions for TB control in people with these risk factors would help in TB control efforts.</p
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