scholarly journals Estimating drowning mortality in Tanzania: a systematic review and meta-analysis of existing data sources

2018 ◽  
Vol 25 (5) ◽  
pp. 459-471 ◽  
Author(s):  
Sophie Sarrassat ◽  
Sigilbert Mrema ◽  
Kassimu Tani ◽  
Thomas Mecrow ◽  
Dan Ryan ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Complete Information ◽  
Population Based ◽  
Data Sources ◽  
Prevention Strategies ◽  
Policy Makers ◽  
Drowning Prevention ◽  
Study Sites ◽  
Global Datasets ◽  
Existing Data

BackgroundThe WHO advocates a 7-step process to enable countries to develop and implement drowning prevention strategies. We sought to assess, using existing data sources, the drowning situation in Tanzania as a first step in this process.MethodsWe searched for data on causes of death in Tanzania by reviewing existing literature and global datasets and by in-country networking. Authors and institutions were then contacted to request aggregate data on drowning mortality. Site-specific drowning estimates were combined using a random effects meta-analytic approach. We also tested for evidence of variations in drowning estimates by sex and by age group.ResultsWe acquired partial or complete information on drowning deaths for 13 data sources. We found strong evidence for substantial variations between study sites (p<0.001). Combining population-based data, we estimated an average of 5.1 drowning deaths per 100 000 persons per year (95% CI 3.8 to 6.3). The proportions of deaths due to drowning were 0.72% (95% CI 0.55 to 0.88) and 0.94% (95% CI 0.09 to 1.78) combining population-based data and hospital-based data, respectively. Males were at greater risk than females, while both under-five children and adults aged 45 years or more were at greater risk than those aged 5–44 years.ConclusionOur estimates of drowning burden are broadly in line with the 2016 Global Burden of Disease and the 2015 WHO Global Health Estimates. While this exercise was useful in raising the burden of drowning in Tanzania with policy makers, planning drowning prevention strategies in this country will require a better understanding of which subpopulations are at high risk.

scholarly journals A Preparedness Model for Mother-Baby Linked Longitudinal Surveillance for Emerging Threats

2020 ◽  
Author(s):  
Kate R Woodworth ◽  
Megan R Reynolds ◽  
Veronica Burkel ◽  
Cymone Gates ◽  
Valorie Eckert ◽  
...  
Keyword(s):  
Public Health ◽  
Pregnant Women ◽  
Health Department ◽  
Population Based ◽  
Adverse Outcomes ◽  
Data Sources ◽  
Long Term Effects ◽  
Public Health Action ◽  
The Impact ◽  
Existing Data

Abstract Introduction Public health responses often lack the infrastructure to capture the impact of public health emergencies on pregnant women and infants, with limited mechanisms for linking pregnant women with their infants nationally to monitor long-term effects. In 2019, the Centers for Disease Control and Prevention (CDC), in close collaboration with state, local, and territorial health departments, began a five-year initiative to establish population-based mother-baby linked longitudinal surveillance, the Surveillance for Emerging Threats to Mothers and Babies Network (SET-NET).Objectives The objective of this report is to describe an expanded surveillance approach that leverages and modernizes existing surveillance systems to address the impact of emerging health threats during pregnancy on pregnant women and their infants.Methods Mother-baby pairs are identified prospectively during pregnancy and/or retrospectively after birth of the infant. All data are obtained from existing data sources (e.g., electronic medical records, vital statistics, laboratory reports, and health department investigations and case reporting).Results Variables were selected for inclusion to address key surveillance questions proposed by CDC and health department subject matter experts. General variables include maternal demographics and health history, pregnancy and infant outcomes, maternal and infant laboratory results, and child health outcomes up to the second birthday. Exposure-specific modular variables are included for hepatitis C, syphilis, and Coronavirus Disease 2019 (COVID-19). The system is structured into four relational datasets (maternal, pregnancy outcomes and birth, infant/child follow-up, and laboratory testing).Discussion SET-NET provides a population-based mother-baby linked longitudinal surveillance approach and has demonstrated rapid adaptation for use during COVID-19. This innovative approach leverages existing data sources and rapidly collects data to inform clinical guidance and practice. These data can help to reduce exposure risk and adverse outcomes among pregnant women and their infants, direct public health action, and strengthen public health systems.

scholarly journals Meta-analysis of epilepsy prevalence in West Africa and its relationship with onchocerciasis endemicity and control

2020 ◽  
Vol 12 (3) ◽  
pp. 192-202 ◽  
Author(s):  
Joseph Nelson Siewe Fodjo ◽  
Jan H F Remme ◽  
Pierre-Marie Preux ◽  
Robert Colebunders
Keyword(s):  
West Africa ◽  
Meta Analysis ◽  
Grey Literature ◽  
Population Based ◽  
West African ◽  
Early Years ◽  
African Countries ◽  
High Prevalence ◽  
Study Sites ◽  
Onchocerciasis Control

Abstract Background A high prevalence and incidence of epilepsy has been reported in onchocerciasis-endemic regions in Central and East Africa. There is compelling epidemiological evidence suggesting that this high burden is caused by onchocerciasis-associated epilepsy (OAE). We hypothesized that OAE had also occured in West African onchocerciasis foci. Methods We searched PubMed, the African Journals Online platform and grey literature for population-based epilepsy studies in West African countries. Epilepsy and onchocerciasis prevalence data were extracted. The pre-control onchocerciasis endemicity in the study sites was estimated from historical data of onchocerciasis control programmes. The prevalence of epilepsy in different sites was analysed, taking into account onchocerciasis endemicity and the duration of control. Results The pooled prevalence of epilepsy in the West African study sites was 13.14 per 1000 (95% confidence interval 11.28–15.00). Higher pre-control endemicity and a shorter duration of onchocerciasis control were both associated with increased epilepsy prevalence (p&lt;0.001). Two studies in Ivory Coast that provided detailed descriptions of persons with epilepsy in onchocerciasis-endemic settings revealed that most of them had features of OAE (73.7% and 83.3%, respectively). Conclusions Our findings suggest that before and during the early years of implementing onchocerciasis control in West Africa, high onchocerciasis endemicity resulted in a high prevalence of OAE and that subsequent control efforts significantly reduced the prevalence of OAE.

scholarly journals Global Typhoid Fever Incidence: A Systematic Review and Meta-analysis

2019 ◽  
Vol 68 (Supplement_2) ◽  
pp. S105-S116 ◽  
Author(s):  
Christian S Marchello ◽  
Chuen Yen Hong ◽  
John A Crump
Keyword(s):  
Blood Culture ◽  
Typhoid Fever ◽  
Meta Analysis ◽  
Epidemiological Studies ◽  
Population Based ◽  
Control Measures ◽  
Ovid Medline ◽  
Incidence Studies ◽  
Government Surveillance ◽  
Study Sites

Abstract Background Contemporary incidence estimates of typhoid fever are needed to guide policy decisions and control measures and to improve future epidemiological studies. Methods We systematically reviewed 3 databases (Ovid Medline, PubMed, and Scopus) without restriction on age, country, language, or time for studies reporting the incidence of blood culture–confirmed typhoid fever. Outbreak, travel-associated, and passive government surveillance reports were excluded. We performed a meta-analysis using a random-effects model to calculate estimates of pooled incidence, stratifying by studies that reported the incidence of typhoid fever and those that estimated incidence by using multipliers. Results Thirty-three studies were included in the analysis. There were 26 study sites from 16 countries reporting typhoid cases from population-based incidence studies, and 17 sites in 9 countries used multipliers to account for underascertainment in sentinel surveillance data. We identified Africa and Asia as regions with studies showing high typhoid incidence while noting considerable variation of typhoid incidence in time and place, including in consecutive years at the same location. Overall, more recent studies reported lower typhoid incidence compared to years prior to 2000. We identified variation in the criteria for collecting a blood culture, and among multiplier studies we identified a lack of a standardization for the types of multipliers being used to estimate incidence. Conclusions Typhoid fever incidence remains high at many sites. Additional and more accurate typhoid incidence studies are needed to support country decisions about typhoid conjugate vaccine adoption. Standardization of multiplier types applied in multiplier studies is recommended.

scholarly journals Month of Birth and Mental Disorders: A Population‐Based Study and Validation Using Global Meta‐Analysis

2021 ◽  
Author(s):  
Chih‐Wei Hsu ◽  
Ping‐Tao Tseng ◽  
Yu‐Kang Tu ◽  
Pao‐Yen Lin ◽  
Chi‐Fa Hung ◽  
...  
Keyword(s):  
Mental Disorders ◽  
Meta Analysis ◽  
Population Based ◽  
Month Of Birth ◽  
Population Based Study

scholarly journals The Impact of Diagnostic Criteria for Gestational Diabetes Mellitus on Adverse Maternal Outcomes: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 10 (4) ◽  
pp. 666
Author(s):  
Fahimeh Ramezani Tehrani ◽  
Marzieh Saei Ghare Naz ◽  
Razieh Bidhendi Yarandi ◽  
Samira Behboudi-Gandevani
Keyword(s):  
Systematic Review ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Diagnostic Criteria ◽  
Meta Analysis ◽  
Population Based ◽  
Maternal Outcomes ◽  
Care Providers ◽  
Iadpsg Criteria ◽  
The Impact

This systematic review and meta-analysis aimed to examine the impact of different gestational-diabetes (GDM) diagnostic-criteria on the risk of adverse-maternal-outcomes. The search process encompassed PubMed (Medline), Scopus, and Web of Science databases to retrieve original, population-based studies with the universal GDM screening approach, published in English language and with a focus on adverse-maternal-outcomes up to January 2020. According to GDM diagnostic criteria, the studies were classified into seven groups. A total of 49 population-based studies consisting of 1409018 pregnant women with GDM and 7,667,546 non-GDM counterparts were selected for data analysis and knowledge synthesis. Accordingly, the risk of adverse-maternal-outcomes including primary-cesarean, induction of labor, maternal-hemorrhage, and pregnancy-related-hypertension, overall, regardless of GDM diagnostic-criteria and in all diagnostic-criteria subgroups were significantly higher than non-GDM counterparts. However, in meta-regression, the increased risk was not influenced by the GDM diagnostic-classification and the magnitude of the risks among patients, using the IADPSG criteria-classification as the most strict-criteria, was similar to other criteria. In conclusion, a reduction in the diagnostic-threshold increased the prevalence of GDM, but the risk of adverse-maternal-outcome was not different among those women who were diagnosed through more or less intensive strategies. Our review findings can empower health-care-providers to select the most cost-effective approach for the screening of GDM among pregnant women.

scholarly journals Approaches for combining primary care electronic health record data from multiple sources: a systematic review of observational studies

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e037405
Author(s):  
Daniel Dedman ◽  
Melissa Cabecinha ◽  
Rachael Williams ◽  
Stephen J W Evans ◽  
Krishnan Bhaskaran ◽  
...  
Keyword(s):  
Systematic Review ◽  
Primary Care ◽  
Electronic Health Record ◽  
Observational Studies ◽  
Meta Analysis ◽  
Data Sources ◽  
Health Record ◽  
Two Stage ◽  
One Stage ◽  
Electronic Health

ObjectiveTo identify observational studies which used data from more than one primary care electronic health record (EHR) database, and summarise key characteristics including: objective and rationale for using multiple data sources; methods used to manage, analyse and (where applicable) combine data; and approaches used to assess and report heterogeneity between data sources.DesignA systematic review of published studies.Data sourcesPubmed and Embase databases were searched using list of named primary care EHR databases; supplementary hand searches of reference list of studies were retained after initial screening.Study selectionObservational studies published between January 2000 and May 2018 were selected, which included at least two different primary care EHR databases.Results6054 studies were identified from database and hand searches, and 109 were included in the final review, the majority published between 2014 and 2018. Included studies used 38 different primary care EHR data sources. Forty-seven studies (44%) were descriptive or methodological. Of 62 analytical studies, 22 (36%) presented separate results from each database, with no attempt to combine them; 29 (48%) combined individual patient data in a one-stage meta-analysis and 21 (34%) combined estimates from each database using two-stage meta-analysis. Discussion and exploration of heterogeneity was inconsistent across studies.ConclusionsComparing patterns and trends in different populations, or in different primary care EHR databases from the same populations, is important and a common objective for multi-database studies. When combining results from several databases using meta-analysis, provision of separate results from each database is helpful for interpretation. We found that these were often missing, particularly for studies using one-stage approaches, which also often lacked details of any statistical adjustment for heterogeneity and/or clustering. For two-stage meta-analysis, a clear rationale should be provided for choice of fixed effect and/or random effects or other models.

scholarly journals Sense of Purpose in Life Is Associated with Lower Risk of Incident Dementia: A Meta-Analysis

2021 ◽  
pp. 1-10
Author(s):  
Angelina R. Sutin ◽  
Damaris Aschwanden ◽  
Martina Luchetti ◽  
Yannick Stephan ◽  
Antonio Terracciano
Keyword(s):  
Lower Risk ◽  
Meta Analysis ◽  
Random Effect ◽  
Purpose In Life ◽  
Population Based ◽  
Primary Data ◽  
Or Education ◽  
Total N ◽  
Sense Of Purpose ◽  
Incident Dementia

Background: A sense of purpose in life has been associated with healthier cognitive outcomes across adulthood, including risk of dementia. The robustness and replicability of this association, however, has yet to be evaluated systematically. Objective: To test whether a greater sense of purpose in life is associated with lower risk of dementia in four population-based cohorts and combined with the published literature. Methods: Random-effect meta-analysis of prospective studies (individual participant data and from the published literature identified through a systematic review) that examined sense of purpose and risk of incident dementia. Results: In six samples followed up to 17 years (four primary data and two published; total N = 53,499; n = 5,862 incident dementia), greater sense of purpose in life was associated with lower dementia risk (HR = 0.77, 95%CI = 0.73–0.81, p <  0.001). The association was generally consistent across cohorts (I2 = 47%), remained significant controlling for clinical (e.g., depression) and behavioral (e.g., physical inactivity) risk factors, and was not moderated by age, gender, or education. Conclusion: Sense of purpose is a replicable and robust predictor of lower risk of incident dementia and is a promising target of intervention for cognitive health outcomes.

scholarly journals Smoking and nasopharyngeal cancer: individual data meta-analysis of six prospective studies on 334 935 men

2021 ◽  
Author(s):  
Jia Huang Lin ◽  
Chi Pang Wen ◽  
Chao Qiang Jiang ◽  
Jian-Min Yuan ◽  
Chien Jen Chen ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Nasopharyngeal Cancer ◽  
Population Based ◽  
Individual Participant Data ◽  
Tobacco Control Policies ◽  
Hazard Ratios ◽  
Smoking Exposure ◽  
Drinking Status ◽  
Individual Participant ◽  
Never Smokers

Abstract Background The role of smoking in nasopharyngeal carcinoma (NPC) remains uncertain, especially in endemic regions. We conducted an individual participant data (IPD) meta-analysis of prospective cohort studies to investigate the associations between smoking exposure and risk of NPC. Methods We obtained individual participant data of 334 935 male participants from six eligible population-based cohorts in NPC-endemic regions, including two each in Guangzhou and Taiwan, and one each in Hong Kong and Singapore. We used one- and two-stage approaches IPD meta-analysis and Cox proportional hazard models to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) of NPC for smoking exposure adjusting for age and drinking status. Results During 2 961 315 person-years of follow-up, 399 NPC evens were ascertained. Risks of NPC were higher in ever versus never smokers (HRone-stage = 1.32, 95% CI = 1.07-1.63, P = 0.0088; HRtwo-stage = 1.27, 1.01-1.60, 0.04). These positive associations appeared to be stronger in ever smokers who consumed 16+ cigarettes/day (HRone-stage = 1.67, 95% CI = 1.29-2.16, P = 0.0001), and in those who started smoking at age younger than 16 (2.16, 1.33-3.50, 0.0103), with dose-response relationships (P-values for trend = 0.0028 and 0.0103, respectively). Quitting (versus daily smoking) showed a small reduced risk (stopped for 5+ years: HRone-stage = 0.91, 95% CI = 0.60-1.39, P = 0.66; for former smokers: HRtwo-stage = 0.84, 0.61-1.14, 0.26). Conclusions This first IPD meta-analysis from six prospective cohorts in endemic regions has provided robust observational evidence that smoking increased NPC risk in men. NPC should be added to the 12–16 cancer sites known to be tobacco-related cancers. Strong tobacco control policies, preventing young individuals from smoking, would reduce NPC risk in endemic regions.

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