scholarly journals Improving risk prediction accuracy for new soldiers in the U.S. Army by adding self-report survey data to administrative data

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Samantha L. Bernecker ◽  
Anthony J. Rosellini ◽  
Matthew K. Nock ◽  
Wai Tat Chiu ◽  
Peter M. Gutierrez ◽  
...  
Keyword(s):  
Survey Data ◽  
Risk Prediction ◽  
Administrative Data ◽  
Prediction Accuracy ◽  
Self Report ◽  
The U.S

scholarly journals Incidence of First Abortions: Integration of Administrative and Survey Data within a Joint Cohort Life Table Model

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Peter Dutey-Magni ◽  
Ruth Gilbert
Keyword(s):  
Life Table ◽  
Survey Data ◽  
Administrative Data ◽  
Robust Statistics ◽  
Self Report ◽  
England And Wales ◽  
Department Of Health ◽  
Audit Data ◽  
Table Model ◽  
Life Table Model

IntroductionIntegration of administrative and survey data to address sources of error is a fast-growing area of research. This paper examines the case of abortion, where survey data are susceptible to self-report bias, while administrative data provide crude but comprehensive and relatively unbiased information. Objectives and ApproachAlthough abortion is a common and legal procedure, information is lacking on the proportion of women having one or more abortions during their lifetime. A Bayesian joint cohort life table model estimates age-specific rates of incidence of a first abortion for cohorts of women born between 1936 and 2003 an residing in England and Wales. The model is fitted using (1) waves II and III of the British National Surveys of Sexual Attitudes and Lifestyles (NATSAL) and (2) administrative counts of first ever abortions published by the UK's Office for National Statistics and Department of Health. ResultsModel parameters controlling for underreporting indicate that survey reports are plausible for abortions occurring before the age of 20 years. Beyond that age, the model shows a fast increasing propensity to underreport abortions depending on the age at which they occurred. Underreporting also appears to be higher in NATSAL III. The study produces corrected estimates of the overall lifetime prevalence of an abortion in England and Wales, which is higher than previously thought. Conclusion/ImplicationsJoint modelling of survey and administrative data can provide robust statistics, while reducing the need for record linkage where it is not feasible or acceptable. This approach is relevant in other contexts to correct the bias of particular population datasets, when audit data exist (e.g. underascertained diagnoses/causes of death).

Reassessing Relationships between Communication Forms and Political Knowledge in Political Campaigns from a Geospatial Perspective: The Case of Local TV News

2019 ◽  
Author(s):  
Yung-I Liu
Keyword(s):  
Survey Data ◽  
Significant Role ◽  
Presidential Elections ◽  
Television News ◽  
Political Knowledge ◽  
Political Campaigns ◽  
Political Discussion ◽  
Tv News ◽  
Cable Television News ◽  
The U.S

<p><a>This study investigates the informing effects of communication in political campaigns from a geospatial perspective. The results from analyzing survey data collected during the 2000 and 2004 presidential elections in the U.S. generally suggest that the main forms of traditional </a>communication, i.e., print newspapers and network and cable television news—but with the exception of local TV news—play a significant role in informing citizens about political campaigns. Political discussion also plays a role in this regard. The implications of the respective roles of a number of news forms in a democracy are discussed.</p>

scholarly journals Adaptation of a quality improvement approach to implement eScreening in VHA healthcare settings: innovative use of the Lean Six Sigma Rapid Process Improvement Workshop

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
James O. E. Pittman ◽  
Borsika Rabin ◽  
Erin Almklov ◽  
Niloofar Afari ◽  
Elizabeth Floto ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Survey Data ◽  
Implementation Strategy ◽  
Scale Up ◽  
Implementation Process ◽  
Interview Data ◽  
Self Report ◽  
Veterans Health ◽  
Health Administration ◽  
Health Technologies

Abstract Background The Veterans Health Administration (VHA) developed a comprehensive mobile screening technology (eScreening) that provides customized and automated self-report health screening via mobile tablet for veterans seen in VHA settings. There is agreement about the value of health technology, but limited knowledge of how best to broadly implement and scale up health technologies. Quality improvement (QI) methods may offer solutions to overcome barriers related to broad scale implementation of technology in health systems. We aimed to develop a process guide for eScreening implementation in VHA clinics to automate self-report screening of mental health symptoms and psychosocial challenges. Methods This was a two-phase, mixed methods implementation project building on an adapted quality improvement method. In phase one, we adapted and conducted an RPIW to develop a generalizable process guide for eScreening implementation (eScreening Playbook). In phase two, we integrated the eScreening Playbook and RPIW with additional strategies of training and facilitation to create a multicomponent implementation strategy (MCIS) for eScreening. We then piloted the MCIS in two VHA sites. Quantitative eScreening pre-implementation survey data and qualitative implementation process “mini interviews” were collected from individuals at each of the two sites who participated in the implementation process. Survey data were characterized using descriptive statistics, and interview data were independently coded using a rapid qualitative analytic approach. Results Pilot data showed overall satisfaction and usefulness of our MCIS approach and identified some challenges, solutions, and potential adaptations across sites. Both sites used the components of the MCIS, but site 2 elected not to include the RPIW. Survey data revealed positive responses related to eScreening from staff at both sites. Interview data exposed implementation challenges related to the technology, support, and education at both sites. Workflow and staffing resource challenges were only reported by site 2. Conclusions Our use of RPIW and other QI methods to both develop a playbook and an implementation strategy for eScreening has created a testable implementation process to employ automated, patient-facing assessment. The efficient collection and communication of patient information have the potential to greatly improve access to and quality of healthcare.

Predicting Hospitalization and Functional Decline in Older Health Plan Enrollees: Are Administrative Data as Accurate as Self-Report?

1998 ◽  
Vol 46 (4) ◽  
pp. 419-425 ◽  
Author(s):  
Eric A. Coleman ◽  
Edward H. Wagner ◽  
Louis C. Grothaus ◽  
Julia Hecht ◽  
James Savarino ◽  
...  
Keyword(s):  
Administrative Data ◽  
Health Plan ◽  
Functional Decline ◽  
Self Report

Linking Federal Surveys with Administrative Data to Improve Research on Families

2016 ◽  
Vol 669 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Amy O’Hara ◽  
Rachel M. Shattuck ◽  
Robert M. Goerge
Keyword(s):  
Survey Data ◽  
Administrative Data ◽  
Low Income ◽  
Family Relationships ◽  
Census Data ◽  
Federal State ◽  
Great Promise ◽  
Science Literature ◽  
Administrative Records ◽  
State And Local

Linkage of federal, state, and local administrative records to survey data holds great promise for research on families, in particular research on low-income families. Researchers can use administrative records in conjunction with survey data to better measure family relationships and to capture the experiences of individuals and family members across multiple points in time and social and economic domains. Administrative data can be used to evaluate program participation in government social welfare programs, as well as to evaluate the accuracy of reporting on receipt of such benefits. Administrative records can also be used to enhance collection and accuracy of survey and census data and to improve coverage of hard-to-reach populations. This article discusses potential uses of linked administrative and survey data, gives an overview of the linking methodology and infrastructure (including limitations), and reviews social science literature that has used this method to date.

scholarly journals What’s Your Street Race? The Urgency of Critical Race Theory and Intersectionality as Lenses for Revising the U.S. Office of Management and Budget Guidelines, Census and Administrative Data in Latinx Communities and Beyond

Genealogy ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 75
Author(s):  
Nancy López ◽  
Howard Hogan
Keyword(s):  
Critical Race Theory ◽  
Administrative Data ◽  
Skin Color ◽  
Racial Justice ◽  
Critical Race ◽  
Race Theory ◽  
Disciplinary Boundaries ◽  
The Difference ◽  
Structural Inequities ◽  
The U.S

What’s your street race? If you were walking down the street what race do you think strangers would automatically assume you are based on what you look like? What is the universe of data and conceptual gaps that complicate or prevent rigorous data collection and analysis for advancing racial justice? Using Latinx communities in the U.S. as an example, we argue that scholars, researchers, practitioners and communities across traditional academic, sectoral and disciplinary boundaries can advance liberation by engaging the ontologies, epistemologies and conceptual guideposts of critical race theory and intersectionality in knowledge production for equity-use. This means not flattening the difference between race (master social status and relational positionality in a racially stratified society based on the social meanings ascribed to a conglomeration of one’s physical characteristics, including skin color, facial features and hair texture) and origin (ethnicity, cultural background, nationality or ancestry). We discuss the urgency of revising the U.S. Office of Management and Budget (OMB) standards, as well as the Census and other administrative data to include separate questions on self-identified race (mark all that apply) and street race (mark only one). We imagine street race as a rigorous “gold standard” for identifying and rectifying racialized structural inequities.

scholarly journals Incidence of drug-treated chronic diseases using administrative pharmaceutical data

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Shaun Purkiss ◽  
Tessa Keegel ◽  
Hassan Vally ◽  
Dennis Wollersheim
Keyword(s):  
Chronic Disease ◽  
Chronic Diseases ◽  
Survey Data ◽  
Census Data ◽  
Respiratory Illness ◽  
Self Report ◽  
World Health ◽  
Population Census ◽  
Incidence Data ◽  
Anatomic Therapeutic Chemical

Background Pharmaceutical data can be used to identify the presence of drug-treated chronic diseases (CD) in individuals using assigned World Health Organization Anatomic Therapeutic Chemical (ATC) classifications of medicines prescribed. ATC codes define treatment domains and provides a method to case define CD that has previously been used to estimate CD prevalence within populations. Main Aim We determined selected CD incidence from an administrative pharmaceutical dataset, and compared them with published CD incidence results. Approach An Australian Pharmaceutical Benefits Scheme (PBS) database covering the period 2003-14 was used for this study. The earliest prescriptions exchanged by individuals for an ATC defined CD were identified and the annual count recorded. These values were combined with Australian population census data to calculate the annual incidence of ATC defined CD. Australian PBS derived incidence estimates (PDI) were compared with published Australian and world incidence data. Results The PDI of 16 chronic diseases were compared with incidence estimates using self-report surveys from the literature. Mean percentage differences between PDI estimates varied greatly when compared to survey data (mean 33% (SD ±79%). Diabetes (-29%), gout (4%), glaucoma (69%) and tuberculosis (14%) showed closer associations. In contrast, PDI estimates (n/1000/year) showed particularly high incidence levels as compared with self-report data for dyspepsia (16.9 v 4.5), dyslipidaemia (11.6 v 5.6) and respiratory illness (17.6 v 2.6). Conclusion Incidence estimates of drug treated chronic disease can be obtained using pharmaceutical data and may be a useful source for a number of conditions. Some PDI differ considerably from survey data. The interpretation of PDI requires context on how a particular CD presents. Accuracy and relevance are likely to depend upon how drug treatments relate to the initial management of the chronic disease.

scholarly journals Electrophysiological Evidence for Preserved Primacy of Lexical Prediction in Normative Aging

2017 ◽  
Author(s):  
Shruti Dave ◽  
Trevor A. Brothers ◽  
Matthew J. Traxler ◽  
Fernanda Ferreira ◽  
John M. Henderson ◽  
...  
Keyword(s):  
Older Adults ◽  
Young Adults ◽  
Prediction Accuracy ◽  
Predictive Accuracy ◽  
Accurate Prediction ◽  
Self Report ◽  
Clear Cut ◽  
Age Related ◽  
Contextual Support ◽  
Normative Aging

Young adults show consistent neural benefits of predictable contexts when processing upcoming words, but these benefits are less clear-cut in older adults. Here we conduct two ERP experiments to examine whether aging uniquely affects neural correlates of prediction accuracy, as compared to contextual support independent of accuracy. In Experiment 1, readers were asked to predict sentence-final words and self-report prediction accuracy, allowing for separation of ERP effects of accurate prediction and contextual support. While N250 and N400 effects of accurate prediction were reduced in older readers, both temporal primacy and relative amplitudes of predictive compared to contextual processing were similar across age. In Experiment 2, participants read for comprehension without an overt prediction task and showed similar age-related declines in N400 amplitude across experiments. In both studies, older adults showed relatively larger frontal post-N400 positivities (PNPs) than young adults, suggesting age-graded differences in revision following unexpected items. Previous research suggests the production system may be linked to lexical prediction, but here we found that verbal fluency modulated PNP effects of contextual support, but not predictive accuracy. Taken together, our findings suggest that normative aging does not result in specific declines or boosts of lexical prediction.

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