Epidemiology of multimorbidity among people living with HIV in sub-Saharan Africa : a systematic review protocol

CITATION: Oladimeji, Kelechi Elizabeth et al. 2020. Epidemiology of multimorbidity among people living with HIV in sub-Saharan Africa : a systematic review protocol. BMJ Open, 10(12):e036988, doi:10.1136/bmjopen-2020-036988.The original publication is avaialble at: https://bmjopen.bmj.comIntroduction Sub-Saharan Africa remains the epicentre of the HIV pandemic, yet enormous knowledge gaps still exist to elicit a comprehensive portrait of multimorbidity and HIV linkage. This study aims to conduct a systematic meta-analysis of peer-reviewed literature to investigate the current status of multimorbidity epidemiology among people living with HIV (PLHIV) in sub-Saharan Africa. Methods and analysis Our review will assess observational studies (ie, cohort, case–control and cross-sectional) on multimorbidity associated with HIV/AIDS between 1 January 2005 and 31 October 2020 from sub-Saharan Africa. Databases to be searched include PubMed/MEDLINE, Scopus, Web of Science, Cochrane library, African Index Medicus and African Journals Online. We will also search the WHO clinical trial registry and databases for systematic reviews. The search strategy will involve the use of medical subject headings and key terms to obtain studies on the phenomena of HIV and multimorbidity at high precision. Quality assessment of eligible studies will be ascertained using a validated quality assessment tool for observational studies and risk of bias through sensitivity analysis to identify publication bias. Further, data on characteristics of the study population, multimorbid conditions, epidemiological rates and spatial distribution of multimorbid conditions in PLHIV will be extracted. Heterogeneity of individual studies will be evaluated using the I2 statistic from combined effect size estimates. The statistical analysis will be performed using STATA statistical software V.15 and results will be graphically represented on a forest plot.Publisher's versio

Clients’ Perception of Quality of Multidrug-Resistant Tuberculosis Treatment and Care in Resource-Limited Setting: Experience from Nigeria

Background: Quality care is essential to the well-being and survival of people with multidrug-resistant tuberculosis (MDR-TB). The aim of this study is to explore how MDR- TB patients, who were voluntarily hospitalized, perceived care and treatment strategy and to assess the influence of psychosocial factors on their perception of care and treatment strategy in Nigeria. Methods: The study enrolled 98 MDR-TB patients on voluntary confinement in four MDR-TB hospitals in Nigeria. Patients’ perceptions of quality of care and treatment strategy were evaluated with 28-item and 6-item instruments, respectively. Bivariate analysis was used to test for an association and multivariate analysis for factors that might contribute to the perceived quality of care. Results: Seventy-eight per cent (78%) of the participating patients perceived the quality of care to be good. Patients with better psychosocial well-being had five times higher odds to report good quality of care. Conclusion: The majority of MDR-TB patients perceived the quality of inpatient care to be good in Nigerian hospitals; however, their psychological health influenced their perception significantly. Health care providers need to improve treatment strategies to encourage acceptance of care as poor perception to health care service delivery may deter treatment completion and also cause relapse among clients on treatment

Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017

Background: Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of “leaving no one behind”, it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990–2017, projected indicators to 2030, and analysed global attainment. Methods: We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0–100, with 0 as the 2\ub75th percentile and 100 as the 97\ub75th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator. Findings: The global median health-related SDG index in 2017 was 59\ub74 (IQR 35\ub74–67\ub73), ranging from a low of 11\ub76 (95% uncertainty interval 9\ub76–14\ub70) to a high of 84\ub79 (83\ub71–86\ub77). SDG index values in countries assessed at the subnational level varied substantially, particularly in China and India, although scores in Japan and the UK were more homogeneous. Indicators also varied by SDI quintile and sex, with males having worse outcomes than females for non-communicable disease (NCD) mortality, alcohol use, and smoking, among others. Most countries were projected to have a higher health-related SDG index in 2030 than in 2017, while country-level probabilities of attainment by 2030 varied widely by indicator. Under-5 mortality, neonatal mortality, maternal mortality ratio, and malaria indicators had the most countries with at least 95% probability of target attainment. Other indicators, including NCD mortality and suicide mortality, had no countries projected to meet corresponding SDG targets on the basis of projected mean values for 2030 but showed some probability of attainment by 2030. For some indicators, including child malnutrition, several infectious diseases, and most violence measures, the annualised rates of change required to meet SDG targets far exceeded the pace of progress achieved by any country in the recent past. We found that applying the mean global annualised rate of change to indicators without defined targets would equate to about 19% and 22% reductions in global smoking and alcohol consumption, respectively; a 47% decline in adolescent birth rates; and a more than 85% increase in health worker density per 1000 population by 2030. Interpretation: The GBD study offers a unique, robust platform for monitoring the health-related SDGs across demographic and geographic dimensions. Our findings underscore the importance of increased collection and analysis of disaggregated data and highlight where more deliberate design or targeting of interventions could accelerate progress in attaining the SDGs. Current projections show that many health-related SDG indicators, NCDs, NCD-related risks, and violence-related indicators will require a concerted shift away from what might have driven past gains—curative interventions in the case of NCDs—towards multisectoral, prevention-oriented policy action and investments to achieve SDG aims. Notably, several targets, if they are to be met by 2030, demand a pace of progress that no country has achieved in the recent past. The future is fundamentally uncertain, and no model can fully predict what breakthroughs or events might alter the course of the SDGs. What is clear is that our actions—or inaction—today will ultimately dictate how close the world, collectively, can get to leaving no one behind by 2030

Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017.

BACKGROUND: Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of 'leaving no one behind', it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990-2017, projected indicators to 2030, and analysed global attainment. METHODS: We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0-100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator

Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

© 2018 The Author(s). Background: Assessments of age-specifc mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Afairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods: The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specifc mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in diferent components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. Findings: Globally, 18·7% (95% uncertainty interval 18·4-19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2-59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5-49·6) to 70·5 years (70·1-70·8) for men and from 52·9 years (51·7-54·0) to 75·6 years (75·3-75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5-51·7) for men in the Central African Republic to 87·6 years (86·9-88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3-238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6-42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2-5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. Interpretation: This analysis of age-sex-specifc mortality shows that there are remarkably complex patterns in population mortality across countries. The fndings of this study highlight global successes, such as the large decline in under-5 mortality, which refects signifcant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing

Voices from the Patients: A Qualitative Study of the Integration of Tuberculosis, Human Immunodeficiency Virus and Primary Healthcare Services in O.R. Tambo District, Eastern Cape, South Africa

Tuberculosis (TB), a disease of poverty and inequality, is a leading cause of severe illness and death among people with human immunodeficiency virus (HIV). In South Africa, both TB and HIV epidemics have been closely related and persistent, posing a significant burden for healthcare provision. Studies have observed that TB-HIV integration reduces mortality. The operational implementation of integrated services is still challenging. This study aimed to describe patients’ perceptions on barriers to scaling up of TB-HIV integration services at selected health facilities (study sites) in Oliver Reginald (O.R) Tambo Municipality, Eastern Cape province, South Africa. We purposely recruited twenty-nine (29) patients accessing TB and HIV services at the study sites. Data were analyzed using qualitative content analysis and presented as emerging themes. Barriers identified included a lack of health education about TB and HIV; an inadequate counselling for HIV and the antiretroviral drugs (ARVs); and poor quality of services provided by the healthcare facilities. These findings suggest that the O.R. Tambo district needs to strengthen its TB-HIV integration immediately

A Cross-Sectional Study of Coronavirus Disease Prevention Practices among University Staff and Students in Durban, South Africa in 2020–2021

Background: Globally, the COVID-19 pandemic has had a negative impact on individuals, education, and the economy. During its peak, the pandemic forced school closures. Although there is currently no cure for corona virus, non-pharmaceutical measures can help prevent its spread. Among these preventive measures are regular handwashing with soap and water or the use of hand sanitizers, avoiding touching the mouth, nose, and eyes, social distancing, and the use of face masks. As a result, this study investigated COVID-19 prevention practices among Durban University of Technology staff and students in South Africa. Methods: Using a cross-sectional study design, data were gathered online via self-administered, structured questionnaires from 5849 university students and staff members between May 2020 and March 2021. Utilizing descriptive statistics, the characteristics of the study sample were reported. Using logistic regression models, the relationship between demographic characteristics and the overall level of COVID-19 preventive practices was evaluated. Results: The multivariate logistic regression model showed statistically significantly associations for COVID-19 preventive practices by: male (AOR: 9.815, 95% CI: 1.721–55.959, p = 0.01) compared to female participants, single participants (AOR: 6.012, 95% CI: 2.070–17.461, p = 0.001) compared to other marital categories, and those in the faculty of Health Sciences (AOR: 1.721, 95% CI: 1.023–2.894, p = 0.041) compared to other faculties. Conclusions: Overall, the study’s preventive practices were commendable; they were also influenced by socio-demographic factors such as age, gender, marital status, and university faculty. Increasing age was associated with reduced compliance with COVID-19 preventive practices. In addition, men demonstrated greater caution than women

A Cross-Sectional Study of Coronavirus Disease Prevention Practices among University Staff and Students in Durban, South Africa in 2020–2021

Background: Globally, the COVID-19 pandemic has had a negative impact on individuals, education, and the economy. During its peak, the pandemic forced school closures. Although there is currently no cure for corona virus, non-pharmaceutical measures can help prevent its spread. Among these preventive measures are regular handwashing with soap and water or the use of hand sanitizers, avoiding touching the mouth, nose, and eyes, social distancing, and the use of face masks. As a result, this study investigated COVID-19 prevention practices among Durban University of Technology staff and students in South Africa. Methods: Using a cross-sectional study design, data were gathered online via self-administered, structured questionnaires from 5849 university students and staff members between May 2020 and March 2021. Utilizing descriptive statistics, the characteristics of the study sample were reported. Using logistic regression models, the relationship between demographic characteristics and the overall level of COVID-19 preventive practices was evaluated. Results: The multivariate logistic regression model showed statistically significantly associations for COVID-19 preventive practices by: male (AOR: 9.815, 95% CI: 1.721–55.959, p = 0.01) compared to female participants, single participants (AOR: 6.012, 95% CI: 2.070–17.461, p = 0.001) compared to other marital categories, and those in the faculty of Health Sciences (AOR: 1.721, 95% CI: 1.023–2.894, p = 0.041) compared to other faculties. Conclusions: Overall, the study’s preventive practices were commendable; they were also influenced by socio-demographic factors such as age, gender, marital status, and university faculty. Increasing age was associated with reduced compliance with COVID-19 preventive practices. In addition, men demonstrated greater caution than women

Knowledge of International Standards for Tuberculosis Care among Private Non-NTP Providers in Lagos, Nigeria: A Cross-Sectional Study

Studies specifically evaluating tuberculosis knowledge among private non-NTP providers using the International Standards for Tuberculosis Care (ISTC) framework are scarce. We evaluated the knowledge of ISTC among private non-NTP providers and associated factors in urban Lagos, Nigeria. We performed a cross-sectional descriptive study using a self-administered questionnaire to assess different aspects of tuberculosis management among 152 non-NTP providers in Lagos, Nigeria. The association between the dependent variable (knowledge) and independent variables (age, sex, qualifications, training and years of experience) was determined using multivariate logistic regression. Overall, the median knowledge score was 12 (52%, SD 3.8) and achieved by 47% of the participants. The highest knowledge score was in TB/HIV standards (67%) and the lowest was in the treatment standards (44%). On multivariate analysis, being female (OR 0.3, CI: 0.1–0.6, p < 0.0001) and being a nurse (OR 0.2, CI: 0.1–0.4, p < 0.0001) reduced the odds of having good TB knowledge score, while having previously managed ≥100 TB patients (OR 2.8, CI: 1.1–7.2, p = 0.028) increased the odds of having good TB knowledge. Gaps in the knowledge of ISTC among private non-NTP providers may result in substandard TB patient care. Specifically, gaps in knowledge of standard TB regimen combinations and Xpert MTB/RIF testing stood out. The present study provides evidence for tailored mentorship and TB education among nurses and female private non-NTP providers