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BackgroundEthiopia has high maternal mortality ratio and poor access to maternal health services. Attendance of at least four antenatal care (ANC) visits and delivery by a skilled birth attendant (SBA) are important in preventing maternal deaths. Understanding the reasons behind the poor use of these services is important in designing strategies to address the problem. This study aimed to determine the coverage of at least four ANC visits and delivery by a SBA and to identify determinants of utilisation of these services in three districts in South West Shoa Zone, Ethiopia.MethodsA cross-sectional survey of 500 women aged 15–49 years with a delivery in two years prior to the survey was conducted in Wolisso, Wonchi and Goro districts in February 2013. Data were collected using an interviewer administered questionnaire. Logistic regression models were used to explore determinants of ANC attendance and SBA at delivery.ResultsCoverage of at least four ANC visits and SBA at delivery were 45.5 and 28.6 %, respectively. Most institutional deliveries (69 %) occurred at the single hospital that serves the study districts. Attendance of at least four ANC visits was positively associated with wealth status, knowledge of the recommended number of ANC visits, and attitude towards maternal health care, but was negatively associated with woman’s age. SBA at delivery was negatively associated with parity and time to the health facility, but was positively associated with urban residence, wealth, knowledge of the recommended number of ANC visits, perceived good quality of maternal health services, experience of a pregnancy/delivery related problem, involvement of the partner/family in decision making on delivery place, and birth preparedness.ConclusionsRaising awareness about the minimum recommended number of ANC visits, tackling geographical inaccessibility, improving the quality of care, encouraging pregnant women to have a birth and complication readiness plan and community mobilisation targeting women, husbands, and families for their involvement in maternal health care have the potential to increase use of maternal health services in this setting. Furthermore, supporting health centres to increase uptake of institutional delivery services may rapidly increase coverage of delivery by SBA and reduce inequity.Electronic supplementary materialThe online version of this article (doi:10.1186/s12978-015-0067-y) contains supplementary material, which is available to authorized users.

BackgroundMaternal mortality is persistently high in Uganda. Access to quality emergency obstetrics care (EmOC) is fundamental to reducing maternal and newborn deaths and is a possible way of achieving the target of the fifth millennium development goal. Karamoja region in north-eastern Uganda has consistently demonstrated the nation’s lowest scores on key development and health indicators and presents a substantial challenge to Uganda’s stability and poverty eradication ambitions. The objectives of this study were: to establish the availability of maternal and neonatal healthcare services at different levels of health units; to assess their utilisation; and to determine the quality of services provided.MethodsA cross sectional study of all health facilities in Napak and Moroto districts was conducted in 2010. Data were collected by reviewing clinical records and registers, interviewing staff and women attending antenatal and postnatal clinics, and by observation. Data were summarized using frequencies and percentages and EmOC indicators were calculated.ResultsThere were gaps in the availability of essential infrastructure, equipment, supplies, drugs and staff for maternal and neonatal care particularly at health centres (HCs). Utilisation of the available antenatal, intrapartum, and postnatal care services was low. In addition, there were gaps in the quality of care received across these services. Two hospitals, each located in the study districts, qualified as comprehensive EmOC facilities. The number of EmOC facilities per 500,000 population was 3.7. None of the HCs met the criteria for basic EmOC. Assisted vaginal delivery and removal of retained products were the most frequently missing signal functions. Direct obstetric case fatality rate was 3%, the met need for EmOC was 9.9%, and 1.7% of expected deliveries were carried out by caesarean section.ConclusionsTo reduce maternal and newborn morbidity and mortality in Karamoja region, there is a need to increase the availability and the accessibility of skilled birth care, address the low utilisation of maternity services and improve the quality of care rendered. There is also a need to improve the availability and accessibility of EmOC services, with particular attention to basic EmOC.

ObjectiveAdministering medication to hospitalised infants and children is a complex process at high risk of error. Failure mode and effect analysis (FMEA) is a proactive tool used to analyse risks, identify failures before they happen and prioritise remedial measures. To examine the hazards associated with the process of drug delivery to children, we performed a proactive risk-assessment analysis.Design and settingFive multidisciplinary teams, representing different divisions of the paediatric department at Padua University Hospital, were trained to analyse the drug-delivery process, to identify possible causes of failures and their potential effects, to calculate a risk priority number (RPN) for each failure and plan changes in practices.Primary outcomeTo identify higher-priority potential failure modes as defined by RPNs and planning changes in clinical practice to reduce the risk of patients harm and improve safety in the process of medication use in children.ResultsIn all, 37 higher-priority potential failure modes and 71 associated causes and effects were identified. The highest RPNs related (>48) mainly to errors in calculating drug doses and concentrations. Many of these failure modes were found in all the five units, suggesting the presence of common targets for improvement, particularly in enhancing the safety of prescription and preparation of endovenous drugs. The introductions of new activities in the revised process of administering drugs allowed reducing the high-risk failure modes of 60%.ConclusionsFMEA is an effective proactive risk-assessment tool useful to aid multidisciplinary groups in understanding a process care and identifying errors that may occur, prioritising remedial interventions and possibly enhancing the safety of drug delivery in children.

BackgroundSkilled attendance at delivery is critical in prevention of maternal deaths. However, many women in low- and middle-income countries still deliver without skilled assistance. This study was carried out to identify perceived barriers to utilisation of institutional delivery in two districts in Karamoja, Uganda.MethodsData were collected through participatory rural appraisal (PRA) with 887 participants (459 women and 428 men) in 20 villages in Moroto and Napak districts. Data were analysed using deductive content analysis. Notes taken during PRA session were edited, triangulated and coded according to recurring issues. Additionally, participants used matrix ranking to express their perceived relative significance of the barriers identified.ResultsThe main barriers to utilisation of maternal health services were perceived to be: insecurity, poverty, socio-cultural factors, long distances to health facilities, lack of food at home and at health facilities, lack of supplies, drugs and basic infrastructure at health facilities, poor quality of care at health facilities, lack of participation in planning for health services and the ready availability of traditional birth attendants (TBAs). Factors related to economic and physical inaccessibility and lack of infrastructure, drugs and supplies at health facilities were highly ranked barriers to utilisation of institutional delivery.ConclusionA comprehensive approach to increasing the utilisation of maternal health care services in Karamoja is needed. This should tackle both demand and supply side barriers using a multi-sectorial approach since the main barriers are outside the scope of the health sector. TBAs are still active in Karamoja and their role and influence on maternal health in this region cannot be ignored. A model for collaboration between skilled health workers and TBAs in order to increase institutional deliveries is needed.

Malaria and COVID-19 may have similar aspects and seem to have a strong potential for mutual influence. They have already caused millions of deaths, and the regions where malaria is endemic are at risk of further suffering from the consequences of COVID-19 due to mutual side effects, such as less access to treatment for patients with malaria due to the fear of access to healthcare centers leading to diagnostic delays and worse outcomes. Moreover, the similar and generic symptoms make it harder to achieve an immediate diagnosis. Healthcare systems and professionals will face a great challenge in the case of a COVID-19 and malaria syndemic. Here, we present an overview of common and different findings for both diseases with possible mutual influences of one on the other, especially in countries with limited resources.

BackgroundIn July 2014, an outbreak of Ebola virus disease (EVD) started in Pujehun district, Sierra Leone. On January 10th, 2015, the district was the first to be declared Ebola-free by local authorities after 49 cases and a case fatality rate of 85.7 %. The Pujehun outbreak represents a precious opportunity for improving the body of work on the transmission characteristics and effects of control interventions during the 2014–2015 EVD epidemic in West Africa.MethodsBy integrating hospital registers and contact tracing form data with healthcare worker and local population interviews, we reconstructed the transmission chain and investigated the key time periods of EVD transmission. The impact of intervention measures has been assessed using a microsimulation transmission model calibrated with the collected data.ResultsThe mean incubation period was 9.7 days (range, 6–15). Hospitalization rate was 89 %. The mean time from the onset of symptoms to hospitalization was 4.5 days (range, 1–9). The mean serial interval was 13.7 days (range, 2–18). The distribution of the number of secondary cases (R0 = 1.63) was well fitted by a negative binomial distribution with dispersion parameter k = 0.45 (95 % CI, 0.19–1.32). Overall, 74.3 % of transmission events occurred between members of the same family or extended family, 17.9 % in the community, mainly between friends, and 7.7 % in hospital. The mean number of contacts investigated per EVD case raised from 11.5 in July to 25 in September 2014. In total, 43.0 % of cases were detected through contact investigation. Model simulations suggest that the most important factors determining the probability of disease elimination are the number of EVD beds, the mean time from symptom onset to isolation, and the mean number of contacts traced per case. By assuming levels and timing of interventions performed in Pujehun, the estimated probability of eliminating an otherwise large EVD outbreak is close to 100 %.ConclusionsContainment of EVD in Pujehun district is ascribable to both the natural history of the disease (mainly transmitted through physical contacts, long generation time, overdispersed distribution of secondary cases per single primary case) and intervention measures (isolation of cases and contact tracing), which in turn strongly depend on preparedness, population awareness, and compliance. Our findings are also essential to determine a successful ring vaccination strategy.Electronic supplementary materialThe online version of this article (doi:10.1186/s12916-015-0524-z) contains supplementary material, which is available to authorized users.

BackgroundTuberculosis (TB) is still a great challenge to public health in sub-Saharan Africa. Most transmissions occur between the onset of coughing and initiation of treatment. Delay in diagnosis is significant to disease prognosis, thus early diagnosis and prompt effective therapy represent the key elements in controlling the disease. The objective of this study was to investigate the factors influencing the patient delay and the health system delay in TB diagnosis in Angola.MethodsOn a cross-sectional study, 385 TB patients who visited 21 DOTS clinics in Luanda were included consecutively. The time from the onset of symptoms to the first consultation of health providers (patients’ delay) and the time from the first consultation to the date of diagnosis (health system’s delay) were analysed. Bivariate and logistics regression were applied to analyse the risk factors of delays.ResultsThe median total time elapsed from the onset of symptoms to diagnosis was 45 days (interquartile range [IQR]: 21–97 days). The median patient delay was 30 days (IQR: 14–60 days), and the median health care system delay was 7 days (IQR: 5–15 days). Primary education (AOR = 1.75; CI [95%] 1.06–2.88; p <0.029) and the health centre of the first contact differing from the DOTS centre (AOR = 1.66; CI [95%] 1.01–2.75; p <0.046) were independent risk factors for patient delay >4 weeks. Living in a suburban area (AOR = 2,32; CI [95%] 1.21–4.46; p = 0.011), having a waiting time in the centre >1 hour (AOR = 4.37; CI [95%] 1.72–11.14; p = 0.002) and the health centre of the first contact differening from the DOTS centre (AOR = 5.68; CI [95%] 2.72–11,83; p < 0,00001) were factors influencing the system delay.ConclusionsThe results indicate that the delay is principally due to the time elapsed between the onset of symptoms and the first consultation. More efforts should be placed in ensuring the availability of essential resources and skills in all healthcare facilities other than the DOTS centres, especially those located in suburban areas.