Remoteness and maternal and child health service utilization in rural Liberia: A population–based survey

Background: This study seeks to understand distance from health facilities as a barrier to maternal and child health service uptake within a rural Liberian population. Better understanding the relationship between distance from health facilities and rural health care utilization is important for post–Ebola health systems reconstruction and for general rural health system planning in sub–Saharan Africa. Methods: Cluster–sample survey data collected in 2012 in a very rural southeastern Liberian population were analyzed to determine associations between quartiles of GPS–measured distance from the nearest health facility and the odds of maternal (ANC, facility–based delivery, and PNC) and child (deworming and care seeking for ARI, diarrhea, and fever) service use. We estimated associations by fitting simple and multiple logistic regression models, with standard errors adjusted for clustered data. Findings: Living in the farthest quartile was associated with lower odds of attending 1–or–more ANC checkup (AOR = 0.04, P < 0.001), 4–or–more ANC checkups (AOR = 0.13, P < 0.001), delivering in a facility (AOR = 0.41, P = 0.006), and postnatal care from a health care worker (AOR = 0.44, P = 0.009). Children living in all other quartiles had lower odds of seeking facility–based fever care (AOR for fourth quartile = 0.06, P < 0.001) than those in the nearest quartile. Children in the fourth quartile were less likely to receive deworming treatment (AOR = 0.16, P < 0.001) and less likely (but with only marginal statistical significance) to seek ARI care from a formal HCW (AOR = 0.05, P = 0.05). Parents in distant quartiles more often sought ARI and diarrhea care from informal providers. Conclusions: Within a rural Liberian population, distance is associated with reduced health care uptake. As Liberia rebuilds its health system after Ebola, overcoming geographic disparities, including through further dissemination of providers and greater use of community health workers should be prioritized

Health Systems Reconstruction Among Remote Populations: Trends From Rural Liberia Prior to the Ebola Epidemic

Background: The weak health network in post-war Liberia is likely a primary contributor to the unprecedented 2014 Ebola outbreak in West Africa. This paper seeks to assess gaps in the health system prior to the epidemic by evaluating changes in access to maternal and child health services in a remote region compared to rural averages from 2007-2013. Methods: We conducted a two-staged cluster survey in 2012 in the remote district of Konobo, Liberia. Our primary outcomes of interest were access to prenatal, peri-natal and postnatal care, and access to sick child services. We compared results from our survey to the rural sub-samples from the Demographic and Health Survey (DHS) in 2007 and 2013 to assess for differential service utilization in remote regions. Results: Although most child and maternal health indicators improved in the DHS rural sub-sample from 2007 to 2013, this progress was not reflected in the remote Konobo population. Fewer women received 4+ antenatal care visits (OR 0.28, P< 0.001) and any postnatal care (OR 0.25, P<0.001) in Konobo as compared to the 2013 DHS. Similarly, fewer children received professional care for common childhood illnesses, including acute respiratory infection (9% vs 52%, P<0.001) and diarrhea (11% vs. 46%, P< 0.001). Conclusions: Even before the Ebola epidemic, residents in remote areas of Liberia had severely limited access to basic services. Most indicators remain below 2013 levels, despite the overall progress seen elsewhere in rural Liberia from 2007-2013. As attention turns to rebuilding the healthcare infrastructure in Liberia, a specific focus on remote areas will be crucial

Charting health system reconstruction in post-war Liberia: a comparison of rural vs. remote healthcare utilization

Background: Despite a growing global emphasis on universal healthcare, access to basic primary care for remote populations in post-conflict countries remains a challenge. To better understand health sector recovery in post-conflict Liberia, this paper seeks to evaluate changes in utilization of health services among rural populations across a 5-year time span. Methods: We assessed trends in healthcare utilization among the national rural population using the Liberian Demographic and Health Survey (DHS) from 2007 and 2013. We compared these results to results obtained from a two-staged cluster survey in 2012 in the district of Konobo, Liberia, to assess for differential health utilization in an isolated, remote region. Our primary outcomes of interest were maternal and child health service care seeking and utilization. Results: Most child and maternal health indicators improved in the DHS rural sub-sample from 2007 to 2013. However, this progress was not reflected in the remote Konobo population. A lower proportion of women received 4+ antenatal care visits (AOR 0.28, P < 0.001) or any postnatal care (AOR 0.25, P <0.001) in Konobo as compared to the 2013 DHS. Similarly, a lower proportion of children received professional care for common childhood illnesses, including acute respiratory infection (9 % vs. 52 %, P < 0.001) or diarrhea (11 % vs. 46 %, P < 0.001). Conclusions: Our data suggest that, despite the demonstrable success of post-war rehabilitation in rural regions, particularly remote populations in Liberia remain at disproportionate risk for limited access to basic health services. As a renewed effort is placed on health systems reconstruction in the wake of the Ebola-epidemic, a specific focus on solutions to reach isolated populations will be necessary in order to ensure extension of coverage to remote regions such as Konobo. Electronic supplementary material The online version of this article (doi:10.1186/s12913-016-1709-7) contains supplementary material, which is available to authorized users

Sex-specific performance of the ASCVD pooled cohort equation risk calculator as a correlate of coronary artery calcium in Kampala, Uganda

IntroductionThe prevalence of cardiovascular disease (CVD) is rising in Sub-Saharan Africa, but it is not known whether current risk assessment tools predict coronary atherosclerosis in the region. Furthermore, sex-specific performance and interaction with HIV serostatus has not been well studied.MethodsThis cross-sectional study compared ASCVD risk scores and detectable coronary artery calcium (CAC&gt;0) by sex in Kampala, Uganda (n&nbsp;=&nbsp;200). The cohort was enriched for persons living with HIV, and all participants had at least one CVD risk factor. We fit log binomial regression models and constructed ROC curves to assess the correlation between ASCVD scores and CAC&gt;0.ResultsThe mean age was 56. 62% were female and 50% of both men and women were living with HIV. The median 10-year ASCVD risk score was significantly higher in men (11.0%, IQR 7.6-19.4%) than in women (5.1%, IQR 3.2-8.7%), although the prevalence of CAC&gt;0 was similar (8.1 vs 10.5%, p&nbsp;=&nbsp;0.63). Each 10% increase in ASCVD risk was associated with increased risk of CAC&gt;0 in men (PR 1.59, 95% CI 1.00-2.55, p&nbsp;=&nbsp;0.05) but not women (PR 1.15, 95% CI 0.44-3.00, p&nbsp;=&nbsp;0.77). ROC curves demonstrated an AUC of 0.57 for women vs 0.70 for men. Adjustment for HIV serostatus improved the predictive value of ASCVD in women only (AUC 0.78, p&nbsp;=&nbsp;0.02).ConclusionsASCVD risk score did not correlate with the presence of CAC in women. When HIV status was added to the ASCVD risk score, correlation with CAC was improved in women but not in men

Additional file 1: Table S1. of Charting health system reconstruction in post-war Liberia: a comparison of rural vs. remote healthcare utilization

Receipt of Maternal and Child Health Services (Adjusted): Percent of the population receiving maternal and child health services in the rural subsection of DHS 2007, DHS 2013 and the Konobo survey, with 95 % confidence intervals. (DOCX 96 kb

The role of digital health in making progress toward Sustainable Development Goal (SDG) 3 in conflict-affected populations

Purpose: The progress of the Millennium Development Goals (MDGs) shows that sustained global action can achieve success. Despite the unprecedented achievements in health and education, more than one billion people, many of them in conflict-affected areas, were unable to reap the benefits of the MDG gains. The recently developed Sustainable Development Goals (SDGs) are even more ambitious then their predecessor. SDG 3 prioritizes health and well-being for all ages in specific areas such as maternal mortality, communicable diseases, mental health, and healthcare workforce. However, without a shift in the approach used for conflict-affected areas, the world\u27s most vulnerable people risk being left behind in global development yet again. We must engage in meaningful discussions about employing innovative strategies to address health challenges fragile, low-resource, and often remote settings. In this paper, we will argue that to meet the ambitious health goals of SDG 3, digital health can help to bridge healthcare gaps in conflict-affected areas. Methods: First, we describe the health needs of populations in conflict-affected environments, and how they overlap with the SDG 3 targets. Secondly, we discuss how digital health can address the unique needs of conflict-affected areas. Finally, we evaluate the various challenges in deploying digital technologies in fragile environments, and discuss potential policy solutions. Discussion: Persons in conflict-affected areas may benefit from the diffusive nature of digital health tools. Innovations using cellular technology or cloud-based solutions overcome physical barriers. Additionally, many of the targets of SDG 3 could see significant progress if efficacious education and outreach efforts were supported, and digital health in the form of mHealth and telehealth offers a relatively low-resource platform for these initiatives. Lastly, lack of data collection, especially in conflict-affected or otherwise fragile states, was one of the primary limitations of the MDGs. Greater investment in data collection efforts, supported by digital health technologies, is necessary if SDG 3 targets are to be measured and progress assessed. Standardized EMR systems as well as context-specific data warehousing efforts will assist in collecting and managing accurate data. Stakeholders such as patients, providers, and NGOs, must be proactive and collaborative in their efforts for continuous progress toward SDG 3. Digital health can assist in these inter-organizational communication efforts. Conclusion: The SDGS are complex, ambitious, and comprehensive; even in the most stable environments, achieving full completion towards every goal will be difficult, and in conflict-affected environments, this challenge is much greater. By engaging in a collaborative framework and using the appropriate digital health tools, we can support humanitarian efforts to realize sustained progress in SDG 3 outcomes