Healthcare workers’ knowledge and attitude towards prompt referral of women with postpartum haemorrhage in Nigeria: a community-based study

Background: Postpartum Haemorrhage (PPH) is a major contributor to maternal mortality in developing countries most especially in the rural areas where Emergency Obstetric Care (EmOC) are not available. Delay in referring women from rural health facilities to settings where EmOC services are available have been reported. This study assessed community-based healthcare workers’ (CHWs) knowledge and attitude towards the prevention, early recognition and prompt referral of women with Post-Partum Haemorrhage (PPH) for Emergency Obstetric Care (EmOC).Methods: Descriptive cross-sectional design was used. Structured questionnaire was used to collect data from 200 CHWs recruited from community-based healthcare. Data analysis was done in SPSS version 20 at significance level of 0.05.Results: Findings show that 86.5% (n=173) of the respondents had good knowledge while 12% (n=24) and 1.5% (n=3) had moderate and poor knowledge respectively. Negative attitude towards prompt referral of women affected with PPH was found among 51% (n=102) of the respondents. Unavailability of blood drapes to estimate blood loss [χ2 (1, n=200) = 4.51, p=0.03], lack of ambulance [χ2 (1, n=200) = 4.46, p=0.03], and poor state of the roads [χ2 (1, n=200) = 4.44, p=0.03] were factors linked to poor attitude of CHWs towards prompt referral of affected women.Conclusions: The study concluded that there is a need for intervention that can help improve community healthcare workers’ attitude towards prompt referral of women affected with postpartum haemorrhage. There is also a need for general overhaul of community-based facilities to effectively support prompt referral

Stand Up, Speak Out! Racial Justice in Healthcare Education: Experiences of Minoritised Ethnic Students

Funded by Trinity Equality Fund 2022, the Faculty of Health Sciences Equality, Diversity and Inclusion (EDI) Group and Immigrant Council of Ireland launched a project entitled ‘Stand Up, Speak Out! Racial Justice in Healthcare Education’. This report articulates the lived experiences of racism in minoritised ethnic healthcare students (MEHSs) and recommends strategies to embed racial justice in healthcare education at Trinity. The report will be made available to staff and students in the Faculty of Health Sciences, Equality Office and relevant healthcare and higher education bodies in order to promote the inclusion of students’ voices in future racial justice strategies

Determination of Gestational Age by Tibial Length using Ultrasound in A Nigerian Tertiary Hospital

BACKGROUND: Determining fetal gestational age accurately is important to good obstetric care and outcome. Methods like measurement of symphysio-fundal height have been used but not accurate. With the advent of ultrasound, various fetal biometric parameters e.g. BPD, FKL, and fetal limbs are now being used. AIMS AND OBJECTIVES: The aim of this study is to ultrasonographically evaluate the usefulness of fetal tibial lengths as an alternate to femur lengths in predicting gestational age from the second to third trimesters. MATERIAL AND METHODS: A total of 500 pregnant Nigerian women between the GA of 13 to 41 week had ultrasound scan evaluation done at the fetal assessment unit of a Teaching Hospital. Fetal biometric parameters BPD, FL, and TL were measured and recorded against the calculated gestational age from the last menstrual periods. RESULTS: There was a strong relationship between TL and EGA with a significant positive linear correlation (r= 0.915 P<0.05). For FL, r= 0.900 and for BPD r=0.906, all related to GA. The study has also shown a good correlation between TL and the other measured variables. For TL and FL, r=0.889 while TL and BPD r=0.867, making TL a substitute limb for limb measurement and as a pointer to a skeletal anomaly or delayed bone growth or dwarfs. The mean TL ranged from 13.47 mm at 13 week to 74.64 mm at 41 weeks of gestation. CONCLUSION: This study has been able to justify the tibia as an important substitute for femur in the prediction of GA especially where the femur is susceptible to errors. (Int J Biomed Sci 2019; 12 (4): 104-111

Awareness and Practice of Proper Health Seeking Behaviour and Determinant of Self-Medication among Physicians and Nurses in a Tertiary Hospital in Southwest Nigeria

There is generally a lack of good health-seeking practices among health professionals due to a variety of factors, including the intensity of the medical practice itself. Doctors and nurses are perceived to have a good knowledge of ideal health-seeking behaviors and as such, it is important to determine the level of their awareness and estimate whether this knowledge is put into practice. This study, therefore, aimed to determine the level of awareness and practices of proper health-seeking behavior and to identify the factors responsible for self-medication among doctors and nurses in a tertiary hospital in Nigeria. Methodology: A cross-sectional descriptive study was conducted between April and may 2018 among 106 doctors and 164 nurses in a tertiary health facility in Ido-Ekiti, Ekiti State, Southwestern Nigeria. A simple random sampling technique by balloting was performed from the list of doctors and nurses in the hospital to select doctors and nurses that participated in the study. A pretested semi-structured self-administered questionnaire was designed and used to collect data. The data were entered into the computer software and analyzed using SPSS version 20. P ≤ 0.05 was taken as significant. Result: Out of 106 doctors and 164 nurses recruited, only 102 doctors and 143 nurses filled the questionnaire completely and returned for analysis. One hundred and four respondents (42.4%) fall within the ages of 31 - 40 years with a male to female ratio of 1:1.23. Awareness of proper health seeking behavior among both doctors and nurses was high among the two groups with no statistically significant difference between them. Twenty-nine (28.0%) doctors compared with thirty-four (23.8%) nurses go for a regular medical check-up with no statistically significant difference between the two groups (p = 0.411). Out of these, 5 (17.2%) doctors and 7 (23.8%) nurses visit at an interval of less than 6 month (p = 0.736). There is a statistically significant difference in the number of doctors (60.8%) compared with nurses (41.3%) that have consulted a doctor in the last one year (p = 0.003). More than half (51.6%) of this consultation among doctors was over the phone whereas 64.4% of such among nurses were via clinic appointment (p = 0.008). More doctors (90.2%) comply with their treatment prescription from physicians compared with nurses (77.6%) (p = 0.010). More nurses compared with doctors self-medicate when ill [Doctor 61.8% (63), Nurses 78.3% (112)] (p = 0.005) and had also self-medicated in the last one year [Doctor 34.3% (35), Nurses 42.7% (61)] (p = 0.187). Decreasing age, decreasing years of experience, increasing working hours, lack of health insurance, fear of confidentiality and lack of satisfaction with health services are factors that significantly increased the likelihood of self-medication among doctors and nurses within the last one year. Conclusion: Awareness of proper health seeking behavior was high but this did not translate into proper health-seeking practices among doctors and nurses. There is apathy for regular medical check-up and self-medication was also high among this group of health workers. Decreasing age and years of experience, increasing working hours, lack of health insurance, fear of confidentiality and lack of satisfaction with health services were factors were identified to significantly increase the likelihood of self-medication

PERCEPTION AND WILLINGNESS TO THE UPTAKE OF COVID-19 VACCINE AMONG HOUSEHOLD-HEADS IN A RURAL COMMUNITY OF SOUTH-WESTERN NIGERIA

Background: The COVID-19 pandemic and its vaccine have been met with varying perceptions that may have both negative and positive effects on the willingness to uptake the COVID-19 vaccine. The study is set to determine the perception and willingness of the household heads to the uptake of COVID-19 vaccine in a rural community in Southwestern, Nigeria. Materials and Methods: A cross-sectional study was carried out among 409 household heads selected through a multistage sampling technique. The instrument of data collection was a semi-structured interviewer-administered questionnaire using the Health Belief model constructs. Data were analyzed with IBM SPSS version 21.0 and Pearson's Chi-square test was used to determine the association between perception and willingness to uptake vaccine. P&lt;0.05 was taken as significant at 95% confidence interval. Results: The majority of the unvaccinated respondents in the study were not willing to take the COVID-19 vaccine (60.1%). There was a poor perception of the susceptibility/severity of unvaccinated respondents to COVID-19 infection and a poor perception of the benefit/barrier to the uptake of the COVID-19 vaccine. Perception of susceptibility and severity of COVID-19 infection were statistically related to the willingness to uptake the COVID-19 vaccine. Conclusion: There should be an increase in awareness campaigns to change the perception of people positively to COVID-19 infection and uptake of the COVID-19 vaccine

Measuring the availability of human resources for health and its relationship to universal health coverage for 204 countries and territories from 1990 to 2019: a systematic analysis for the Global Burden of Disease Study 2019

Background: Human resources for health (HRH) include a range of occupations that aim to promote or improve human health. The UN Sustainable Development Goals (SDGs) and the WHO Health Workforce 2030 strategy have drawn attention to the importance of HRH for achieving policy priorities such as universal health coverage (UHC). Although previous research has found substantial global disparities in HRH, the absence of comparable cross-national estimates of existing workforces has hindered efforts to quantify workforce requirements to meet health system goals. We aimed to use comparable and standardised data sources to estimate HRH densities globally, and to examine the relationship between a subset of HRH cadres and UHC effective coverage performance. Methods: Through the International Labour Organization and Global Health Data Exchange databases, we identified 1404 country-years of data from labour force surveys and 69 country-years of census data, with detailed microdata on health-related employment. From the WHO National Health Workforce Accounts, we identified 2950 country-years of data. We mapped data from all occupational coding systems to the International Standard Classification of Occupations 1988 (ISCO-88), allowing for standardised estimation of densities for 16 categories of health workers across the full time series. Using data from 1990 to 2019 for 196 of 204 countries and territories, covering seven Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) super-regions and 21 regions, we applied spatiotemporal Gaussian process regression (ST-GPR) to model HRH densities from 1990 to 2019 for all countries and territories. We used stochastic frontier meta-regression to model the relationship between the UHC effective coverage index and densities for the four categories of health workers enumerated in SDG indicator 3.c.1 pertaining to HRH: physicians, nurses and midwives, dentistry personnel, and pharmaceutical personnel. We identified minimum workforce density thresholds required to meet a specified target of 80 out of 100 on the UHC effective coverage index, and quantified national shortages with respect to those minimum thresholds. Findings: We estimated that, in 2019, the world had 104·0 million (95% uncertainty interval 83·5–128·0) health workers, including 12·8 million (9·7–16·6) physicians, 29·8 million (23·3–37·7) nurses and midwives, 4·6 million (3·6–6·0) dentistry personnel, and 5·2 million (4·0–6·7) pharmaceutical personnel. We calculated a global physician density of 16·7 (12·6–21·6) per 10 000 population, and a nurse and midwife density of 38·6 (30·1–48·8) per 10 000 population. We found the GBD super-regions of sub-Saharan Africa, south Asia, and north Africa and the Middle East had the lowest HRH densities. To reach 80 out of 100 on the UHC effective coverage index, we estimated that, per 10 000 population, at least 20·7 physicians, 70·6 nurses and midwives, 8·2 dentistry personnel, and 9·4 pharmaceutical personnel would be needed. In total, the 2019 national health workforces fell short of these minimum thresholds by 6·4 million physicians, 30·6 million nurses and midwives, 3·3 million dentistry personnel, and 2·9 million pharmaceutical personnel. Interpretation: Considerable expansion of the world's health workforce is needed to achieve high levels of UHC effective coverage. The largest shortages are in low-income settings, highlighting the need for increased financing and coordination to train, employ, and retain human resources in the health sector. Actual HRH shortages might be larger than estimated because minimum thresholds for each cadre of health workers are benchmarked on health systems that most efficiently translate human resources into UHC attainment

Mapping 123 million neonatal, infant and child deaths between 2000 and 2017

Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2—to end preventable child deaths by 2030—we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000–2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations

Mapping disparities in education across low- and middle-income countries

Analyses of the proportions of individuals who have completed key levels of schooling across all low- and middle-income countries from 2000 to 2017 reveal inequalities across countries as well as within populations. Educational attainment is an important social determinant of maternal, newborn, and child health(1-3). As a tool for promoting gender equity, it has gained increasing traction in popular media, international aid strategies, and global agenda-setting(4-6). The global health agenda is increasingly focused on evidence of precision public health, which illustrates the subnational distribution of disease and illness(7,8); however, an agenda focused on future equity must integrate comparable evidence on the distribution of social determinants of health(9-11). Here we expand on the available precision SDG evidence by estimating the subnational distribution of educational attainment, including the proportions of individuals who have completed key levels of schooling, across all low- and middle-income countries from 2000 to 2017. Previous analyses have focused on geographical disparities in average attainment across Africa or for specific countries, but-to our knowledge-no analysis has examined the subnational proportions of individuals who completed specific levels of education across all low- and middle-income countries(12-14). By geolocating subnational data for more than 184 million person-years across 528 data sources, we precisely identify inequalities across geography as well as within populations.Peer reviewe

Burden of injury along the development spectrum : associations between the Socio-demographic Index and disability-adjusted life year estimates from the Global Burden of Disease Study 2017

Background The epidemiological transition of non-communicable diseases replacing infectious diseases as the main contributors to disease burden has been well documented in global health literature. Less focus, however, has been given to the relationship between sociodemographic changes and injury. The aim of this study was to examine the association between disability-adjusted life years (DALYs) from injury for 195 countries and territories at different levels along the development spectrum between 1990 and 2017 based on the Global Burden of Disease (GBD) 2017 estimates. Methods Injury mortality was estimated using the GBD mortality database, corrections for garbage coding and CODEm-the cause of death ensemble modelling tool. Morbidity estimation was based on surveys and inpatient and outpatient data sets for 30 cause-of-injury with 47 nature-of-injury categories each. The Socio-demographic Index (SDI) is a composite indicator that includes lagged income per capita, average educational attainment over age 15 years and total fertility rate. Results For many causes of injury, age-standardised DALY rates declined with increasing SDI, although road injury, interpersonal violence and self-harm did not follow this pattern. Particularly for self-harm opposing patterns were observed in regions with similar SDI levels. For road injuries, this effect was less pronounced. Conclusions The overall global pattern is that of declining injury burden with increasing SDI. However, not all injuries follow this pattern, which suggests multiple underlying mechanisms influencing injury DALYs. There is a need for a detailed understanding of these patterns to help to inform national and global efforts to address injury-related health outcomes across the development spectrum.Peer reviewe

Estimating global injuries morbidity and mortality : methods and data used in the Global Burden of Disease 2017 study

Background: While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. Methods: In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. Results: GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. Conclusions: GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future