Unlocking the power of communities to achieve Universal Health Coverage in Africa

Africa is at a critical time undergoing demographic, epidemiological, political and socio-economic transitions and faced with repeated outbreaks of emerging and remerging diseases amidst other broader challenges of climate change, environmental degradation and pollution testing the resilience of its health systems and hindering progress to achieve health for all. Five years into the journey towards Sustainable Development Goals (SDGs), the continent – similar to the rest of the world – has been gripped with the Corona virus disease pandemic that has caused significant morbidity and mortality as well as severely disrupted health systems and the underlying socioeconomic determinants of health. One of the most significant SDG targets is the achievement of Universal Health Coverage (UHC) where all people have access to quality health services they need without inflicting a financial hardship on them. However, progress towards this target has been slow on the continent and requires rethinking the current approaches employed. We argue that Africa’s key strength lies in the communities whose potential should be unlocked to build cost effective and sustainable bottom-up health systems founded on Primary Health Care (PHC). Such systems should be founded on community-based services, designed around individuals, families and the community involving community health workers and other actors, and capitalising on health promotion and disease prevention approaches. A strong community health system should be adequately linked to district, regional and national levels working together to empower and serve populations to make health for all a reality

Unlocking the power of communities to achieve Universal Health Coverage in Africa

Africa is at a critical time undergoing demographic, epidemiological, political and socio-economic transitions and faced with repeated outbreaks of emerging and remerging diseases amidst other broader challenges of climate change, environmental degradation and pollution testing the resilience of its health systems and hindering progress to achieve health for all. Five years into the journey towards Sustainable Development Goals (SDGs), the continent – similar to the rest of the world – has been gripped with the Corona virus disease pandemic that has caused significant morbidity and mortality as well as severely disrupted health systems and the underlying socioeconomic determinants of health. One of the most significant SDG targets is the achievement of Universal Health Coverage (UHC) where all people have access to quality health services they need without inflicting a financial hardship on them. However, progress towards this target has been slow on the continent and requires rethinking the current approaches employed. We argue that Africa’s key strength lies in the communities whose potential should be unlocked to build cost effective and sustainable bottom-up health systems founded on Primary Health Care (PHC). Such systems should be founded on community-based services, designed around individuals, families and the community involving community health workers and other actors, and capitalising on health promotion and disease prevention approaches. A strong community health system should be adequately linked to district, regional and national levels working together to empower and serve populations to make health for all a reality

Correlates of previous couples' HIV counseling and testing uptake among married individuals in three HIV prevalence strata in Rakai, Uganda.

BACKGROUND: Studies show that uptake of couples' HIV counseling and testing (couples' HCT) can be affected by individual, relationship, and socioeconomic factors. However, while couples' HCT uptake can also be affected by background HIV prevalence and awareness of the existence of couples' HCT services, this is yet to be documented. We explored the correlates of previous couples' HCT uptake among married individuals in a rural Ugandan district with differing HIV prevalence levels. DESIGN: This was a cross-sectional study conducted among 2,135 married individuals resident in the three HIV prevalence strata (low HIV prevalence: 9.7-11.2%; middle HIV prevalence: 11.4-16.4%; and high HIV prevalence: 20.5-43%) in Rakai district, southwestern Uganda, between November 2013 and February 2014. Data were collected on sociodemographic and behavioral characteristics, including previous receipt of couples' HCT. HIV testing data were obtained from the Rakai Community Cohort Study. We conducted multivariable logistic regression analysis to identify correlates that are independently associated with previous receipt of couples' HCT. Data analysis was conducted using STATA (statistical software, version 11.2). RESULTS: Of the 2,135 married individuals enrolled, the majority (n=1,783, 83.5%) had been married for five or more years while (n=1,460, 66%) were in the first-order of marriage. Ever receipt of HCT was almost universal (n=2,020, 95%); of those ever tested, (n=846, 41.9%) reported that they had ever received couples' HCT. There was no significant difference in previous receipt of couples' HCT between low (n=309, 43.9%), middle (n=295, 41.7%), and high (n=242, 39.7%) HIV prevalence settings (p=0.61). Marital order was not significantly associated with previous receipt of couples' HCT. However, marital duration [five or more years vis-à-vis 1-2 years: adjusted odds ratio (aOR): 1.06; 95% confidence interval (95% CI): 1.04-1.08] and awareness about the existence of couples' HCT services within the Rakai community cohort (aOR: 7.58; 95% CI: 5.63-10.20) were significantly associated with previous receipt of couples' HCT. CONCLUSIONS: Previous couples' HCT uptake did not significantly differ by HIV prevalence setting. Longer marital duration and awareness of the existence of couples' HCT services in the community were significantly correlated with previous receipt of couples' HCT. These findings suggest a need for innovative demand-creation interventions to raise awareness about couples' HCT service availability to improve couples' HCT uptake among married individuals

Combining national survey with facility-based HIV testing data to obtain more accurate estimate of HIV prevalence in districts in Uganda.

BACKGROUND: National or regional population-based HIV prevalence surveys have small sample sizes at district or sub-district levels; this leads to wide confidence intervals when estimating HIV prevalence at district level for programme monitoring and decision making. Health facility programme data, collected during service delivery is widely available, but since people self-select for HIV testing, HIV prevalence estimates based on it, is subject to selection bias. We present a statistical annealing technique, Hybrid Prevalence Estimation (HPE), that combines a small population-based survey sample with a facility-based sample to generate district level HIV prevalence estimates with associated confidence intervals. METHODS: We apply the HPE methodology to combine the 2011 Uganda AIDS indicator survey with the 2011 health facility HIV testing data to obtain HIV prevalence estimates for districts in Uganda. Multilevel logistic regression was used to obtain the propensity of testing for HIV in a health facility, and the propensity to test was used to combine the population survey and health facility HIV testing data to obtain the HPEs. We assessed comparability of the HPEs and survey-based estimates using Bland Altman analysis. RESULTS: The estimates ranged from 0.012 to 0.178 and had narrower confidence intervals compared to survey-based estimates. The average difference between HPEs and population survey estimates was 0.00 (95% CI: - 0.04, 0.04). The HPE standard errors were 28.9% (95% CI: 23.4-34.4) reduced, compared to survey-based standard errors. Overall reduction in HPE standard errors compared survey-based standard errors ranged from 5.4 to 95%. CONCLUSIONS: Facility data can be combined with population survey data to obtain more accurate HIV prevalence estimates for geographical areas with small population survey sample sizes. We recommend use of the methodology by district level managers to obtain more accurate HIV prevalence estimates to guide decision making without incurring additional data collection costs

Evaluation of a national program to distribute free face masks in Uganda: Evidence from Mbale District

Background: COVID-19 posed a major threat to countries around the world, but many nations in sub-Saharan Africa avoided large-scale outbreaks. In Uganda, the government first enacted strict lockdowns but later focused on public health policies like masking and distancing. The government also embarked on an ambitious campaign to deliver a free face mask to all Ugandan citizens (approx. 30 million masks). We test whether mask distribution, and public education and encouragement of mask use by community health volunteers, affected mask behavior. Methods: We collected data about mask behavior before and after masks were distributed in the Mbale district of Uganda. Trained enumerators directly observed mask wearing in public places and asked about mask use via phone surveys. We compared observed and self-reported mask behavior before and after masks were distributed. We also tested whether training volunteers from randomly selected villages to educate the public about COVID-19 and masks affected behavior, attitudes, and knowledge among mask recipients. Results: We collected 6,381 direct observations of mask use at baseline (February 2021) and 19,855 observations at endline (April 2021). We conducted a listing of 9,410 households eligible for phone surveys and randomly selected 399 individuals (4.2%) at baseline and 640 (6.8%) at endline. Fewer than 1% of individuals were observed wearing masks at baseline: 0.9% were seen with a mask and 0.5% wore masks over mouth and nose. Mask wearing significantly increased at endline but remained low: 1.8% of people were observed with masks and 1.1% were seen wearing masks correctly after the distribution campaign. At the same time, a high proportion of people reported using masks: 63.0% of people reported using masks at baseline and 65.3% at endline when walking around their villages. When respondents were asked about mask use in public places, 94.7% reported using masks at baseline and 97.4% reported using masks at endline. We found no differences in knowledge, behavior, or attitudes among mask recipients in villages where volunteers were tasked with conveying information about COVID-19 and masks during distribution. Conclusion: Mask use remained low in Mbale district of Uganda during study observation period even after free masks were distributed. Encouraging new health behaviors may need to involve more intensive interventions that include reminders and address social norms

An implementation science study to enhance cardiovascular disease prevention in Mukono and Buikwe districts in Uganda: a stepped-wedge design

Background Uganda is experiencing a shift in major causes of death with cases of stroke, heart attack, and heart failure reportedly on the rise. In a study in Mukono and Buikwe in Uganda, more than one in four adults were reportedly hypertensive. Moreover, very few (36.5%) reported to have ever had a blood pressure measurement. The rising burden of CVD is compounded by a lack of integrated primary health care for early detection and treatment of people with increased risk. Many people have less access to effective and equitable health care services which respond to their needs. Capacity gaps in human resources, equipment, and drug supply, and laboratory capabilities are evident. Prevention of risk factors for CVD and provision of effective and affordable treatment to those who require it prevent disability and death and improve quality of life. The aim of this study is to improve health profiles for people with intermediate and high risk factors for CVD at the community and health facility levels. The implementation process and effectiveness of interventions will be evaluated. Methods The overall study is a type 2-hybrid stepped-wedge (SW) design. The design employs mixed methods evaluations with incremental execution and adaptation. Sequential crossover take place from control to intervention until all are exposed. The study will take place in Mukono and Buikwe districts in Uganda, home to more than 1,000,000 people at the community and primary healthcare facility levels. The study evaluation will be guided by; 1) RE-AIM an evaluation framework and 2) the CFIR a determinant framework. The primary outcomes are implementation – acceptability, adoption, appropriateness, feasibility, fidelity, implementation cost, coverage, and sustainability. Discussion The study is envisioned to provide important insight into barriers and facilitators of scaling up CVD prevention in a low income context. This project is registered at the ISRCTN Registry with number ISRCTN15848572. The trial was first registered on 03/01/2019

Difference in HIV prevalence by testing venue:results from population level survey in Uganda

Growing demand for use of Health Facility (HF) HIV testing data, in addition to other testing data to obtain district level HIV prevalence requires understanding the comparability of these various sources. We analysed the 2011 Uganda AIDS indicator survey data to assess: the proportion of people tested for HIV across Uganda by venue of testing; HIV prevalence ratio for those tested in a HF compared to those tested in community setting; [Katz, D., Baptista, J., Azen, S. P., & Pike, M. C. (1978). Obtaining confidence intervals for the risk ratio in cohort studies. International Biometric Society, 34(3), 469-474. https://doi.org/10.2307/2530610] and factors associated with HIV positivity in each subgroup. Of the 11,685 individuals, 8978 (77.1%) had ever tested for HIV in a HF. Fifty nine per cent tested in a HF in the 12 months preceding the survey (female: 5507, 72.7% versus male: 1413, 34.9%). HIV prevalence ratio was 1.8 times among those tested in a HF compared to those tested at community setting (10.9% [95% CI: 10.0-11.7] versus 6.2% [95% CI: 5.4-7.0]). Among HF testers, older age group, previously married and having no sexual partner was associated with significantly higher HIV prevalence. Using facility testing data for planning and decisions should take into consideration the elevated and varying HIV prevalence among individuals accessing HIV testing services at HFs as well as differences in their social-demographic characteristics

Effectiveness of the credit-line approach for support of CD4 equipment functionality in northern Uganda

This article examined the effectiveness of the credit-line approach in improving laboratory service delivery by using the functionality of CD4 test equipment as a proxy indicator.Background: Improving laboratory service delivery requires a functioning logistics and supply system. Uganda’s Ministry of Health uses the credit-line approach to provide laboratory supplies including commodities for CD4 test equipment. Objectives: We examined the effectiveness of the credit-line approach in improving laboratory service delivery by using the functionality of CD4 test equipment as a proxy indicator. Method: A cross-sectional survey was conducted at 7 level-three health centres (HC IIIs), 18 level-four health centres (HC IVs), and 10 hospitals in 15 districts of mid-northern Uganda, including the Lango (17 facilities) and Acholi sub-regions (18 facilities), between July 2013 and August 2013. Functionality, was determined through self- and interviewer-administered questionnaires. The chi-squared test was used to assess differences in functionality by sub-region, facility type, and equipment type. Results: A total of 38 CD4 test analysers were assessed. Of these, 26 (68%) were functional. In hospitals, 85% of CD4 analysers were functional, in HC IVs, 67% were functional and in HC IIIs, 43% were functional. The differences did not reach statistical significance. In the Lango sub-region, 72% of analysers were functional; in the Acholi sub-region, 65% were functional. Non-functionality was mainly due to lack of reagents and cartridges, as well as low staffing levels of laboratory technicians with the skills necessary to operate the equipment. Conclusion: The credit-line approach supported the functionality of CD4 equipment in the surveyed facilities. However, there is a need to address issues of staffing and availability of reagents to enhance the functionality of CD4 equipment and improve patient care, especially at HC IIIs