BackgroundThe aim of this study is to estimate the immediate and lasting effects of the 2014–2015 Ebola virus disease (EVD) outbreak on public-sector primary healthcare delivery in Liberia using 7 years of comprehensive routine health information system data.Methods and findingsWe analyzed 10 key primary healthcare indicators before, during, and after the EVD outbreak using 31,836 facility-month service outputs from 1 January 2010 to 31 December 2016 across a census of 379 public-sector health facilities in Liberia (excluding Montserrado County). All indicators had statistically significant decreases during the first 4 months of the EVD outbreak, with all indicators having their lowest raw mean outputs in August 2014. Decreases in outputs comparing the end of the initial EVD period (September 2014) to May 2014 (pre-EVD) ranged in magnitude from a 67.3% decrease in measles vaccinations (95% CI: −77.9%, −56.8%, p < 0.001) and a 61.4% decrease in artemisinin-based combination therapy (ACT) treatments for malaria (95% CI: −69.0%, −53.8%, p < 0.001) to a 35.2% decrease in first antenatal care (ANC) visits (95% CI: −45.8%, −24.7%, p < 0.001) and a 38.5% decrease in medroxyprogesterone acetate doses (95% CI: −47.6%, −29.5%, p < 0.001). Following the nadir of system outputs in August 2014, all indicators showed statistically significant increases from October 2014 to December 2014. All indicators had significant positive trends during the post-EVD period, with every system output exceeding pre-Ebola forecasted trends for 3 consecutive months by November 2016. Health system outputs lost during and after the EVD outbreak were large and sustained for most indicators. Prior to exceeding pre-EVD forecasted trends for 3 months, we estimate statistically significant cumulative losses of −776,110 clinic visits (95% CI: −1,480,896, −101,357, p = 0.030); −24,449 bacille Calmette–Guérin vaccinations (95% CI: −45,947, −2,020, p = 0.032); −9,129 measles vaccinations (95% CI: −12,312, −5,659, p < 0.001); −17,191 postnatal care (PNC) visits within 6 weeks of birth (95% CI: −28,344, −5,775, p = 0.002); and −101,857 ACT malaria treatments (95% CI: −205,839, −2,139, p = 0.044) due to the EVD outbreak. Other outputs showed statistically significant cumulative losses only through December 2014, including losses of −12,941 first pentavalent vaccinations (95% CI: −20,309, −5,527, p = 0.002); −5,122 institutional births (95% CI: −8,767, −1,234, p = 0.003); and −45,024 acute respiratory infections treated (95% CI: −66,185, −24,019, p < 0.001). Compared to pre-EVD forecasted trends, medroxyprogesterone acetate doses and first ANC visits did not show statistically significant net losses. ACT treatment for malaria was the only indicator with an estimated net increase in system outputs through December 2016, showing an excess of +78,583 outputs (95% CI: −309,417, +450,661, p = 0.634) compared to pre-EVD forecasted trends, although this increase was not statistically significant. However, comparing December 2013 to December 2017, ACT malaria cases h...
Despite resource and logistical constraints, International Medical Corps cared for thousands at 5 Ebola treatment units in Liberia and Sierra Leone between 2014 and 2015 while collecting hundreds of data points on each patient. To facilitate data collection and global reporting in future humanitarian responses, standardized data forms and databases, with clear definitions of clinical and epidemiological variables, should be developed and adopted by the international community.
Background: Essential surgical procedures rank among the most cost-effective of all healthcare interventions. The aim of this study was to enumerate surgical volumes in Liberia, quantify surgical infrastructure, personnel and availability of essential surgical procedures, describe surgical facilities, and assess the influence of human resources and infrastructure on surgical volumes. Methods: An observational countrywide survey was done in Liberia between 20 September and 8 November 2018. All healthcare facilities performing surgical procedures requiring general, regional or local anaesthesia in an operating theatre between September 2017 and August 2018 were eligible for inclusion. Information on facility infrastructure and human resources was collected by interviewing key personnel. Data on surgical volumes were extracted from operating theatre log books. Results: Of 70 healthcare facilities initially identified as possible surgical facilities, 52 confirmed operative capacity and were eligible for inclusion; all but one shared surgical data. A national surgical volume of 462 operations per 100 000 population was estimated. The median hospital offered nine of 26 essential surgical procedures. Unequal distributions of surgical infrastructure, personnel, and essential surgical procedures were identified between facilities. In multivariable regression analysis, surgical human resources (= 0⋅60, 95 per cent c.i. 0⋅34 to 0⋅87; P < 0⋅001) and infrastructure (= 0⋅03, 0⋅02 to 0⋅04; P < 0⋅001) were found to be strongly associated with operative volumes. Conclusion: The availability of essential surgical procedures in Liberia is extremely low. Descriptive tools can quantify inequalities, guide resource allocation, and highlight rational investment areas.
BACKGROUND AND OBJECTIVES: Use of mid–upper arm circumference (MUAC) as a single screening tool for severe acute malnutrition (SAM) assumes that children with a low weight-for-height z score (WHZ) and normal MUAC have lower risks of morbidity and mortality. However, the pathophysiology and functional severity associated with different anthropometric phenotypes of SAM have never been well characterized. We compared clinical characteristics, biochemical features, and health and nutrition histories of nonedematous children with SAM who had (1) low WHZ only, (2) both low WHZ and low MUAC, or (3) low MUAC only. METHODS: In Bangladesh, Burkina Faso, and Liberia, we conducted a multicentric cohort study in uncomplicated, nonedematous children with SAM and low MUAC only (n = 161), low WHZ only (n = 138), or a combination of low MUAC and low WHZ (n = 152). Alongside routine anthropometric measurements, we collected a wide range of critical indicators of clinical and nutritional status and viability; these included serum leptin, an adipocytokine negatively associated with mortality risk in SAM. RESULTS: Median leptin levels at diagnosis were lower in children with low WHZ only (215.8 pg/mL; P < .001) and in those with combined WHZ and MUAC deficits (180.1 pg/mL; P < .001) than in children with low MUAC only (331.50 pg/mL). The same pattern emerged on a wide range of clinical indicators, including signs of severe wasting, dehydration, serum ferritin levels, and caretaker-reported health deterioration, and was replicated across study sites. CONCLUSIONS: Illustrative of the likely heterogeneous functional severity of the different anthropometric phenotypes of SAM, our results confirm the need to retain low WHZ as an independent diagnostic criterion.
Background Any health care system that strives to deliver good health and well-being to its population relies on a trained workforce. The aim of this study was to enumerate surgical provider density, describe operative productivity and assess the association between key surgical system characteristics and surgical provider productivity in Liberia. Methods A nationwide survey of operation theatre logbooks, available human resources and facility infrastructure was conducted in 2018. Surgical providers were counted, and their productivity was calculated based on operative numbers and full-time equivalent positions. Results A total of 286 surgical providers were counted, of whom 67 were accredited specialists. This translated into a national density of 1.6 specialist providers per 100,000 population. Non-specialist physicians performed 58.3 percent (3607 of 6188) of all operations. Overall, surgical providers performed a median of 1.0 (IQR 0.5–2.7) operation per week, and there were large disparities in operative productivity within the workforce. Most operations (5483 of 6188) were categorized as essential, and each surgical provider performed a median of 2.0 (IQR 1.0–5.0) different types of essential procedures. Surgical providers who performed 7–14 different types of essential procedures were more than eight times as productive as providers who performed 0–1 essential procedure (operative productivity ratio = 8.66, 95% CI 6.27–11.97, P < 0.001). Conclusion The Liberian health care system struggles with an alarming combination of few surgical providers and low provider productivity. Disaggregated data can provide a high-resolution picture of local challenges that can lead to local solutions.
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