Factors Influencing the Choice of Health Care Providing Facility Among Workers in a Local Government Secretariat in South Western Nigeria

Background: There is increasing interest in the choice of healthcare providing facility in Nigeria.Objectives: This study aimed to assess the factors influencing choiceand satisfaction with health service providers among local government staff.Methods: A cross sectional survey of all 312 workers in a Local Government Secretariat in South West Nigeria was done. Chi Square and logistic regression analysis was done.Results: The mean age was 38.6 ± 7.5 years, 55% were females and71.7% had tertiary education. The median monthly family income of the respondents was N 28, 000 (N3,000 – N500,000), with 24.4% earning a monthly income of N21, 000 to N30, 000. Many (72.3%) utilized public health facilities attributing the choice to the low cost of services.  Respondents who are satisfied with their usual care providing facilities are 12.2 times more likely to have used public facilities than private facilities (95%, CI 3.431 – 43.114). Respondents who described the quality with ease of getting care/short waiting times as being good are 3.9 times more likely to have private facilities as their chosen health care providing facility (95%, CI 1.755 – 8.742). Cost/payment for service is 2.9 times more likely to predict the use of public health facility as the usual health care provider.Conclusion: Private facilities though costlier do not appear to be providing better services than public facilities. To increase access to health care the cost of services and the waiting time are important factors to address.Keywords: Service, Quality, Cost, Choice, Satisfactio

Accidents, injuries and the use of personal protective equipment, among hospital cleaners in a tertiary hospital in south west Nigeria

Objectives: Hospital cleaners are exposed to various accidents and injuries. They are often neglected and their health and safety are generally overlooked. This study aimed to show the relationship between occurrence of work place hazards and the use of Personal Protective Equipment (PPE) among cleaners in a tertiary hospital. Methods: Across-sectional study of 249 out of 300 hospital cleaners at the Federal Medical Centre Owo, was conducted. Interviewer administered questionnaire containing socio-demographic characteristics, time respondents used at work, use and awareness of each personal protective equipment was used. Data was analyzed using SPSS version 21. Descriptive statistics were done. Chi square-test was used to compare the use of PPE and occurrence of accidents or injury. Level of statistical significance wa

The managed hypertensive: the costs of blood pressure control in a Nigerian town

Background: The health systems designed to cater for patients with chronic illnesses like hypertension have not fully evaluated the burden oflong term therapy and its effect on patient outcome. This study assessed the financial implication and cost effectiveness of hypertension treatmentin a rural Nigerian town. Methods: A chart review of 250 rural patients with primary hypertension at a regional hospital in Southwest Nigeria wasconducted. Results: The mean age of patients was 61±11.2 years, 59.2% were females, 67% had an income < .20,000 ($133.3) monthly.Diuretics and alpha-Methyl Dopa were the most prescribed drugs. The median number of prescribed drugs was two (range1-4). Mean cost oftreatment was .1440±560 ($9.6±3.7) with 52.8% spending = 10% of their income on treatment. The most cost effective therapies were MethylDopa and Diuretics with Cost-effectiveness ratios of 8 and 12.8 respectively. Patients with co-morbidities, stage 2 hypertension and those on three or four drug regimen had significantly higher treatment costs. Conclusion: The financial burden of long term antihypertensive therapy appears substantial, cost reduction strategies are needed to optimize hypertension treatment in societies with limited resources. Hypertensive management therefore requires a response adapted to the local context.Key words: Hypertensive, management, financial, cost, time, burden, Nigeria, therapy, patients, drugs, resource

Quality of Life and Associated Factors among Adults in a Community in South West Nigeria

Background: Quality of life (QoL) is an important measure in the assessment of population well being and health status. However despite locally validated measuring tools, little is known about the quality of life and associated factors in Nigerian adults. Objective: This study therefore aimed to assess QoL and contributory factors among adults residing in a sub urban Nigerian community.Methods: A descriptive cross-sectional study of 527 adults, in Oru community was conducted. An interviewer-administered questionnaire adapted from the WHO quality of life (WHOQOLBREF) questionnaire was used to obtain information from respondents. Associations were explored with the chi square test; multivariate analysis was done with logistic regression at 5% level of significance.Results: Respondents mean age was 33.3 ±8.1 years. In all, 46.5 % were currently married or cohabiting. Christianity was the dominant religion, 72.7%. In all, 81.6% had good QoL. Predictors of good QoL were respondents less than 25 years [OR: 3.5 (1.264-9.508)], having educational level that is secondary and above [OR: 4.2 (1.810-9.762)]. Being Unemployed [OR: 1.9 (1.099- 3.351)], living in flats and other bigger apartments [OR: 1.8 (1.121- 3.04)], currently ill [OR: 3.7 (2.096- 6.509)], and lack of involvement in religious activities [OR: 3.1 (1.166- 8.045)] were also shown to be predictors of good QoL.Conclusion: The majority of those evaluated had good QoL. Further surveys involving larger samples sizes are required to explore the QoL in distinct sub-populations and in currently ill patients to strengthen the results of this study.Keywords: quality of life, Nigeria, health, well-being

Making a case for community screening services: findings from a medical outreach in Ibadan, Nigeria

Background: Currently, population based medical check up is yet to be explored as a veritable tool for assessing the burden of on-communicable diseases in Nigeria. Objectives: This study aimed to assess the prevalence of selected lifestyle related diseases during a free medical rally in an urban community. Methods: General medical examinations of all participants at a free medical rally in a middle class community in Ibadan, Oyo State was conducted. Body Mass Index (BMI), blood pressure and random blood sugar measurements were done using standardised instruments. BMI classification for children was done using the CDC guidelines for males and females aged 2-20 years. Results: Of the 302 participants examined, 33.1% were males and 32.1% were less than 18 years. Of those aged 2 to 20 years, 22.9% were underweight, while 5.2% were overweight/ obese. In adults 3.6% were underweight and 43.2% were overweight/ obese. Adults were significantly more likely to be overweight/obese (P<0.001). Prevalence of high blood pressure was 29.3% and 9.4% of adults had elevated random blood glucose levels. A higher proportion of obese people (P=0.259), males (P= 0.327) and those older than 40 years (P<0.001) had elevated blood pressure. A weak correlation (spearman rho= 0.3) was found between blood pressure and BMI (P<0.001) and also between BMI and blood sugar level (spearman rho= 0.2) P=0.05. Conclusion: There is a need for greater emphasis on community based screening programmes to aid early diagnosis and treatment of non communicable diseases in the country

Global burden of peripheral artery disease and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Background: Peripheral artery disease is a growing public health problem. We aimed to estimate the global disease burden of peripheral artery disease, its risk factors, and temporospatial trends to inform policy and public measures. Methods: Data on peripheral artery disease were modelled using the Global Burden of Disease, Injuries, and Risk Factors Study (GBD) 2019 database. Prevalence, disability-adjusted life years (DALYs), and mortality estimates of peripheral artery disease were extracted from GBD 2019. Total DALYs and age-standardised DALY rate of peripheral artery disease attributed to modifiable risk factors were also assessed. Findings: In 2019, the number of people aged 40 years and older with peripheral artery disease was 113 million (95% uncertainty interval [UI] 99·2–128·4), with a global prevalence of 1·52% (95% UI 1·33–1·72), of which 42·6% was in countries with low to middle Socio-demographic Index (SDI). The global prevalence of peripheral artery disease was higher in older people, (14·91% [12·41–17·87] in those aged 80–84 years), and was generally higher in females than in males. Globally, the total number of DALYs attributable to modifiable risk factors in 2019 accounted for 69·4% (64·2–74·3) of total peripheral artery disease DALYs. The prevalence of peripheral artery disease was highest in countries with high SDI and lowest in countries with low SDI, whereas DALY and mortality rates showed U-shaped curves, with the highest burden in the high and low SDI quintiles. Interpretation: The total number of people with peripheral artery disease has increased globally from 1990 to 2019. Despite the lower prevalence of peripheral artery disease in males and low-income countries, these groups showed similar DALY rates to females and higher-income countries, highlighting disproportionate burden in these groups. Modifiable risk factors were responsible for around 70% of the global peripheral artery disease burden. Public measures could mitigate the burden of peripheral artery disease by modifying risk factors. Funding: Bill & Melinda Gates Foundation

Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory Study

Background: Data sparsity is a major limitation to estimating national and global dementia burden. Surveys with full diagnostic evaluations of dementia prevalence are prohibitively resource-intensive in many settings. However, validation samples from nationally representative surveys allow for the development of algorithms for the prediction of dementia prevalence nationally. Methods: Using cognitive testing data and data on functional limitations from Wave A (2001–2003) of the ADAMS study (n = 744) and the 2000 wave of the HRS study (n = 6358) we estimated a two-dimensional item response theory model to calculate cognition and function scores for all individuals over 70. Based on diagnostic information from the formal clinical adjudication in ADAMS, we fit a logistic regression model for the classification of dementia status using cognition and function scores and applied this algorithm to the full HRS sample to calculate dementia prevalence by age and sex. Results: Our algorithm had a cross-validated predictive accuracy of 88% (86–90), and an area under the curve of 0.97 (0.97–0.98) in ADAMS. Prevalence was higher in females than males and increased over age, with a prevalence of 4% (3–4) in individuals 70–79, 11% (9–12) in individuals 80–89 years old, and 28% (22–35) in those 90 and older. Conclusions: Our model had similar or better accuracy as compared to previously reviewed algorithms for the prediction of dementia prevalence in HRS, while utilizing more flexible methods. These methods could be more easily generalized and utilized to estimate dementia prevalence in other national surveys

Past, present, and future of global health financing: a review of development assistance, government, out-of-pocket, and other private spending on health for 195 countries, 1995–2050

© 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Background: Comprehensive and comparable estimates of health spending in each country are a key input for health policy and planning, and are necessary to support the achievement of national and international health goals. Previous studies have tracked past and projected future health spending until 2040 and shown that, with economic development, countries tend to spend more on health per capita, with a decreasing share of spending from development assistance and out-of-pocket sources. We aimed to characterise the past, present, and predicted future of global health spending, with an emphasis on equity in spending across countries. Methods: We estimated domestic health spending for 195 countries and territories from 1995 to 2016, split into three categories—government, out-of-pocket, and prepaid private health spending—and estimated development assistance for health (DAH) from 1990 to 2018. We estimated future scenarios of health spending using an ensemble of linear mixed-effects models with time series specifications to project domestic health spending from 2017 through 2050 and DAH from 2019 through 2050. Data were extracted from a broad set of sources tracking health spending and revenue, and were standardised and converted to inflation-adjusted 2018 US dollars. Incomplete or low-quality data were modelled and uncertainty was estimated, leading to a complete data series of total, government, prepaid private, and out-of-pocket health spending, and DAH. Estimates are reported in 2018 US dollars, 2018 purchasing-power parity-adjusted dollars, and as a percentage of gross domestic product. We used demographic decomposition methods to assess a set of factors associated with changes in government health spending between 1995 and 2016 and to examine evidence to support the theory of the health financing transition. We projected two alternative future scenarios based on higher government health spending to assess the potential ability of governments to generate more resources for health. Findings: Between 1995 and 2016, health spending grew at a rate of 4·00% (95% uncertainty interval 3·89–4·12) annually, although it grew slower in per capita terms (2·72% [2·61–2·84]) and increased by less than $1 per capita over this period in 22 of 195 countries. The highest annual growth rates in per capita health spending were observed in upper-middle-income countries (5·55$8·0 trillion (7·8–8·1) in 2016 (comprising 8·6% [8·4–8·7] of the global economy and $10·3 trillion [10·1–10·6] in purchasing-power parity-adjusted dollars), with a per capita spending of US$5252 (5184–5319) in high-income countries, $491 (461–524) in upper-middle-income countries,$81 (74–89) in lower-middle-income countries, and $40 (38–43) in low-income countries. In 2016, 0·4$9·5 billion, 24·3% of total DAH), although spending on other infectious diseases (excluding tuberculosis and malaria) grew fastest from 2010 to 2018 (6·27% per year). The leading sources of DAH were the USA and private philanthropy (excluding corporate donations and the Bill & Melinda Gates Foundation). For the first time, we included estimates of China's contribution to DAH ($644·7 million in 2018). Globally, health spending is projected to increase to$15·0 trillion (14·0–16·0) by 2050 (reaching 9·4% [7·6–11·3] of the global economy and $21·3 trillion [19·8–23·1] in purchasing-power parity-adjusted dollars), but at a lower growth rate of 1·84% (1·68–2·02) annually, and with continuing disparities in spending between countries. In 2050, we estimate that 0·6% (0·6–0·7) of health spending will occur in currently low-income countries, despite these countries comprising an estimated 15·7% of the global population by 2050. The ratio between per capita health spending in high-income and low-income countries was 130·2 (122·9–136·9) in 2016 and is projected to remain at similar levels in 2050 (125·9 [113·7–138·1]). The decomposition analysis identified governments’ increased prioritisation of the health sector and economic development as the strongest factors associated with increases in government health spending globally. Future government health spending scenarios suggest that, with greater prioritisation of the health sector and increased government spending, health spending per capita could more than double, with greater impacts in countries that currently have the lowest levels of government health spending. Interpretation: Financing for global health has increased steadily over the past two decades and is projected to continue increasing in the future, although at a slower pace of growth and with persistent disparities in per-capita health spending between countries. Out-of-pocket spending is projected to remain substantial outside of high-income countries. Many low-income countries are expected to remain dependent on development assistance, although with greater government spending, larger investments in health are feasible. In the absence of sustained new investments in health, increasing efficiency in health spending is essential to meet global health targets. Funding: Bill & Melinda Gates Foundation

Diseases, Injuries, and Risk Factors in Child and Adolescent Health, 1990 to 2017: Findings From the Global Burden of Diseases, Injuries, and Risk Factors 2017 Study.

Importance:Understanding causes and correlates of health loss among children and adolescents can identify areas of success, stagnation, and emerging threats and thereby facilitate effective improvement strategies. Objective:To estimate mortality and morbidity in children and adolescents from 1990 to 2017 by age and sex in 195 countries and territories. Design, Setting, and Participants:This study examined levels, trends, and spatiotemporal patterns of cause-specific mortality and nonfatal health outcomes using standardized approaches to data processing and statistical analysis. It also describes epidemiologic transitions by evaluating historical associations between disease indicators and the Socio-Demographic Index (SDI), a composite indicator of income, educational attainment, and fertility. Data collected from 1990 to 2017 on children and adolescents from birth through 19 years of age in 195 countries and territories were assessed. Data analysis occurred from January 2018 to August 2018. Exposures:Being under the age of 20 years between 1990 and 2017. Main Outcomes and Measures:Death and disability. All-cause and cause-specific deaths, disability-adjusted life years, years of life lost, and years of life lived with disability. Results:Child and adolescent deaths decreased 51.7% from 13.77 million (95% uncertainty interval [UI], 13.60-13.93 million) in 1990 to 6.64 million (95% UI, 6.44-6.87 million) in 2017, but in 2017, aggregate disability increased 4.7% to a total of 145 million (95% UI, 107-190 million) years lived with disability globally. Progress was uneven, and inequity increased, with low-SDI and low-middle-SDI locations experiencing 82.2% (95% UI, 81.6%-82.9%) of deaths, up from 70.9% (95% UI, 70.4%-71.4%) in 1990. The leading disaggregated causes of disability-adjusted life years in 2017 in the low-SDI quintile were neonatal disorders, lower respiratory infections, diarrhea, malaria, and congenital birth defects, whereas neonatal disorders, congenital birth defects, headache, dermatitis, and anxiety were highest-ranked in the high-SDI quintile. Conclusions and Relevance:Mortality reductions over this 27-year period mean that children are more likely than ever to reach their 20th birthdays. The concomitant expansion of nonfatal health loss and epidemiological transition in children and adolescents, especially in low-SDI and middle-SDI countries, has the potential to increase already overburdened health systems, will affect the human capital potential of societies, and may influence the trajectory of socioeconomic development. Continued monitoring of child and adolescent health loss is crucial to sustain the progress of the past 27 years

Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory Study.

BACKGROUND: Data sparsity is a major limitation to estimating national and global dementia burden. Surveys with full diagnostic evaluations of dementia prevalence are prohibitively resource-intensive in many settings. However, validation samples from nationally representative surveys allow for the development of algorithms for the prediction of dementia prevalence nationally. METHODS: Using cognitive testing data and data on functional limitations from Wave A (2001-2003) of the ADAMS study (n = 744) and the 2000 wave of the HRS study (n = 6358) we estimated a two-dimensional item response theory model to calculate cognition and function scores for all individuals over 70. Based on diagnostic information from the formal clinical adjudication in ADAMS, we fit a logistic regression model for the classification of dementia status using cognition and function scores and applied this algorithm to the full HRS sample to calculate dementia prevalence by age and sex. RESULTS: Our algorithm had a cross-validated predictive accuracy of 88% (86-90), and an area under the curve of 0.97 (0.97-0.98) in ADAMS. Prevalence was higher in females than males and increased over age, with a prevalence of 4% (3-4) in individuals 70-79, 11% (9-12) in individuals 80-89 years old, and 28% (22-35) in those 90 and older. CONCLUSIONS: Our model had similar or better accuracy as compared to previously reviewed algorithms for the prediction of dementia prevalence in HRS, while utilizing more flexible methods. These methods could be more easily generalized and utilized to estimate dementia prevalence in other national surveys