scholarly journals Methodological Considerations for Linking Household and Healthcare Provider Data for Estimating Effective Coverage: A Systematic Review

2020 ◽  
Author(s):  
Emily D Carter ◽  
Hannah H Leslie ◽  
Tanya Marchant ◽  
Agbessi Amouzou ◽  
Melinda Munos
Keyword(s):  
Systematic Review ◽  
Healthcare Provider ◽  
Health Benefit ◽  
Data Sources ◽  
Sampling Frame ◽  
Effective Coverage ◽  
Combining Data ◽  
Methodological Considerations ◽  
The Impact ◽  
Existing Data

Effective coverage measures assess the proportion of a population that receive a health intervention with sufficient quality to achieve health benefit. Linking population-based surveys and health facility data is a promising means of generating effective coverage estimates, however, little guidance exists on methodological considerations for these analyses. We conducted a systematic review to assess existing knowledge related to 1) the suitability of data used in linking analyses, 2) the implications of the design of existing data sources commonly used in linking analyses, and 3) the impact of choice of method for combining datasets to obtain linked coverage estimates. The primary search was completed in Medline, with additional reviews of select sources. Of 3192 papers reviewed, 62 publications addressed issues related to linking household and provider datasets. Limited data suggest household surveys can be used to identify sources of care, but their validity in estimating a denominator of intervention need was variable. Methods for collecting provider data and constructing quality indices were variable and presented limitations. There was little empirical data supporting an association between structural, process, and outcome quality. Few studies addressed the influence of the design of common data sources on linking analyses, including imprecise household GIS data, provider sampling frame and sampling design, and estimate stability. There was a lack of concrete evidence around the impact of these factors on linked effective coverage estimates. The most consistent evidence suggested under certain conditions, combining data sets based on geographical proximity (ecological linking) produced similar estimates to linking based on the specific provider utilized (exact-match linking). Linking household and healthcare provider can leverage existing data sources to generate more informative estimates of intervention coverage and care. However, there is need for additional research to develop evidence-based, standardized best practices for these analyses.

scholarly journals Methodological considerations for linking household and healthcare provider data for estimating effective coverage: a systematic review

BMJ Open ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. e045704
Author(s):  
Emily D Carter ◽  
Hannah H Leslie ◽  
Tanya Marchant ◽  
Agbessi Amouzou ◽  
Melinda K Munos
Keyword(s):  
Systematic Review ◽  
Healthcare Provider ◽  
Health Benefit ◽  
Data Sources ◽  
Geographical Information ◽  
Effective Coverage ◽  
Combining Data ◽  
Methodological Considerations ◽  
The Impact ◽  
Existing Data

ObjectiveTo assess existing knowledge related to methodological considerations for linking population-based surveys and health facility data to generate effective coverage estimates. Effective coverage estimates the proportion of individuals in need of an intervention who receive it with sufficient quality to achieve health benefit.DesignSystematic review of available literature.Data sourcesMedline, Carolina Population Health Center and Demographic and Health Survey publications and handsearch of related or referenced works of all articles included in full text review. The search included publications from 1 January 2000 to 29 March 2021.Eligibility criteriaPublications explicitly evaluating (1) the suitability of data, (2) the implications of the design of existing data sources and (3) the impact of choice of method for combining datasets to obtain linked coverage estimates.ResultsOf 3805 papers reviewed, 70 publications addressed relevant issues. Limited data suggest household surveys can be used to identify sources of care, but their validity in estimating intervention need was variable. Methods for collecting provider data and constructing quality indices were diverse and presented limitations. There was little empirical data supporting an association between structural, process and outcome quality. Few studies addressed the influence of the design of common data sources on linking analyses, including imprecise household geographical information system data, provider sampling design and estimate stability. The most consistent evidence suggested under certain conditions, combining data based on geographical proximity or administrative catchment (ecological linking) produced similar estimates to linking based on the specific provider utilised (exact match linking).ConclusionsLinking household and healthcare provider data can leverage existing data sources to generate more informative estimates of intervention coverage and care. However, existing evidence on methods for linking data for effective coverage estimation are variable and numerous methodological questions remain. There is need for additional research to develop evidence-based, standardised best practices for these analyses.

scholarly journals Indigenous Groups and Influenza: Protocol For A Systematic Review and Meta-Analysis

2021 ◽  
Author(s):  
Daniele Evelin Alves ◽  
Ole Røgeberg ◽  
Svenn-Erik Mamelund
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Indigenous Populations ◽  
Influenza Pandemics ◽  
Indigenous Groups ◽  
Combining Data ◽  
Registration Number ◽  
The Impact ◽  
Academic Search ◽  
Historical Periods

Abstract Background: Several studies have documented that indigenous groups have been disproportionally hit by previous pandemics, with some exceptions. The objective of this review and meta-analysis is to provide a comprehensive historical overview of pre-COVID impact of influenza on indigenous groups by combining data from the last five influenza pandemics and seasonal influenza up to date. Methods/Principle Findings: The review will include peer-reviewed original studies published in English, Spanish, Portuguese, Swedish, Danish and Norwegian. Records will be identified through systematic literature search in eight databases: Embase, Medline, Cinahl, Web of Science, Academic Search Ultimate, SocIndex, ASSIA and Google Scholar. Results will be summarized narratively and using meta-analytic strategies. Discussion: To our knowledge, there is no systematic review combining historical data on the impact of both seasonal and pandemic influenza on indigenous populations. By summarizing results across indigenous groups in different countries and historical periods, we aim to provide information on how strong the risk for influenza is among indigenous people, and how consistent this risk is across groups, areas and time. Systematic review registration: PROSPERO registration number: CRD42021246391

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 Measuring the impact of medicines regulatory interventions - Systematic review and methodological considerations

2017 ◽  
Vol 84 (3) ◽  
pp. 419-433 ◽  
Author(s):  
Thomas Goedecke ◽  
Daniel R. Morales ◽  
Alexandra Pacurariu ◽  
Xavier Kurz
Keyword(s):  
Systematic Review ◽  
Regulatory Interventions ◽  
Methodological Considerations ◽  
The Impact

scholarly journals Dampak Penggunaan Smartphone pada Perilaku Anak Di Desa Muktiharjo Kabupaten Pati

2021 ◽  
Vol 2 (2) ◽  
pp. 96-102
Author(s):  
Sri Wulan Endang Saraswati ◽  
Deka Setiawan ◽  
F. Shoufika Hilyana
Keyword(s):  
Data Analysis ◽  
Emotional Behavior ◽  
Data Sources ◽  
Primary Data ◽  
Children's Behavior ◽  
Combining Data ◽  
Smartphone Use ◽  
Role Of Parents ◽  
The Impact

The aims of this study are 1) to analyze the impact of smartphone use on children's behavior in Muktiharjo Village, Pati and 2) to analyze the role of parents in smartphone use in children in Muktiharjo Village, Pati.The research was conducted using a qualitative approach with the type of case study research. The research was conducted in Muktiharjo Village, Margorejo District, Pati Regency. The data collection techniques are through observation, interviews, and documentation. Primary data sources were obtained from observations and interviews with parents and children in Muktiharjo Village. As for the secondary data sources, researchers obtained from supporting documents. Testing the validity of the data used triangulation technique. In this study, triangulation techniques were carried out by combining data received from observations, interviews, and documentation. The data analysis used is qualitative data analysis developed by Miles and Huberman which includes three stages including data reduction, data presentation, verification or conclusion.The results of the study indicate that the role of parents is very important in reducing the impact of smartphone use on children and children's behavior can be controlled. Behavioral disorders in children include emotional behavior, social behavior, and lazy behavior.

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