scholarly journals Block grants--federal-state cooperation in developing national data collection strategies: Report to congressional requesters

1988 ◽  
Keyword(s):  
Data Collection ◽  
Federal State ◽  
National Data ◽  
Block Grants ◽  
State Cooperation ◽  
Collection Strategies

The Establishment of a Dominant Interpretive Framework in Language Intervention

1997 ◽  
Vol 28 (3) ◽  
pp. 288-296 ◽  
Author(s):  
Jack S. Damico ◽  
Sandra K. Damico
Keyword(s):  
School Culture ◽  
Data Collection ◽  
Language Intervention ◽  
Speech Language Pathologists ◽  
Therapeutic Discourse ◽  
Therapeutic Encounter ◽  
Collection Strategies ◽  
Patterns Of Interaction ◽  
Interpretive Framework ◽  
The Way

One aspect of therapeutic discourse that has not been fully investigated in language intervention is the way that interactional dominance is established and maintained within the therapeutic encounter. Using various data collection strategies, therapeutic discourse from 10 language intervention sessions was collected and analyzed. By employing an analytic device known as the "dominant interpretive framework," the interactional styles and strategies of two speech-language pathologists were investigated. Data revealed several systematic patterns of interaction that constrained the ranges of interaction between the clinician and the client. Several implications regarding client empowerment, mediation, and assimilation into the school culture are discussed.

Promoting community engagement in a pre-registration nursing programme: a qualitative study of student experiences

2021 ◽  
Vol 30 (20) ◽  
pp. 1190-1197
Author(s):  
Pam Hodge ◽  
Nora Cooper ◽  
Brian P Richardson
Keyword(s):  
Data Collection ◽  
Community Engagement ◽  
Qualitative Data ◽  
Learning Experience ◽  
Student Nurses ◽  
Risk Assessments ◽  
Student Experiences ◽  
Cross Sectional ◽  
Health And Wellbeing ◽  
Collection Strategies

Aims: To offer child health student nurses a broader learning experience in practice with an autonomous choice of a volunteer placement area. To reflect the changing nature of health care and the move of care closer to home in the placement experience. To evaluate participants' experiences. Design: This study used descriptive and interpretative methods of qualitative data collection. This successive cross-sectional data collection ran from 2017 to 2020. All data were thematically analysed using Braun and Clarke's model. Methods: Data collection strategies included two focus groups (n=14) and written reflections (n=19). Results: Students identified their increased confidence, development as a professional, wider learning and community engagement. They also appreciated the relief from formal assessment of practice and the chance to focus on the experience. Conclusion: Students positively evaluated this experience, reporting a wider understanding of health and wellbeing in the community. Consideration needs to be given to risk assessments in the areas students undertake the placements and the embedding of the experience into the overall curriculum.

Homicide in Australia 2017-18

2020 ◽  
Author(s):  
Samantha Bricknell
Keyword(s):  
Data Collection ◽  
Monitoring Program ◽  
Intimate Partner ◽  
Homicide Rate ◽  
Intimate Partner Homicide ◽  
Australian Capital Territory ◽  
National Data ◽  
Australian Capital ◽  
Australian State

The National Homicide Monitoring Program (NHMP) is Australia’s only national data collection on homicide incidents, victims and offenders. This report describes the 196 homicide incidents recorded by Australian state and territory police (except Australian Capital Territory) between 1 July 2017 and 30 June 2018. During this 12-month period there were 202 victims of homicide and 213 identified offenders. All but two incidents involved a single victim and offender and three-quarters of homicide victims knew the offender. The intimate partner homicide rate for women was 0.33 per 100,000, the lowest rate recorded since the commencement of the NHMP in 1989–90.

The National Health and Nutrition Examination Survey (NHANES), 2021–2022: Adapting Data Collection in a COVID-19 Environment

2021 ◽  
Vol 111 (12) ◽  
pp. 2149-2156
Author(s):  
Ryne Paulose-Ram ◽  
Jessica E. Graber ◽  
David Woodwell ◽  
Namanjeet Ahluwalia
Keyword(s):  
Data Collection ◽  
Nutritional Status ◽  
National Health ◽  
Nutrition Examination Survey ◽  
National Data ◽  
Participant Recruitment ◽  
Biospecimen Collection ◽  
Health And Nutrition ◽  
The Us ◽  
Unique Source

The National Health and Nutrition Examination Survey (NHANES) is a unique source of national data on the health and nutritional status of the US population, collecting data through interviews, standard exams, and biospecimen collection. Because of the COVID-19 pandemic, NHANES data collection was suspended, with more than a year gap in data collection. NHANES resumed operations in 2021 with the NHANES 2021–2022 survey, which will monitor the health and nutritional status of the nation while adding to the knowledge of COVID-19 in the US population. This article describes the reshaping of the NHANES program and, specifically, the planning of NHANES 2021–2022 for data collection during the COVID-19 pandemic. Details are provided on how NHANES transformed its participant recruitment and data collection plans at home and at the mobile examination center to safely collect data in a COVID-19 environment. The potential implications for data users are also discussed. (Am J Public Health. 2021;111(12):2149–2156. https://doi.org/10.2105/AJPH.2021.306517 )

Success and failure: a case study of two rural telemedicine projects

2003 ◽  
Vol 9 (3) ◽  
pp. 125-129 ◽  
Author(s):  
Pamela Whitten ◽  
Inez Adams
Keyword(s):  
Data Collection ◽  
Organizational Structure ◽  
Health Organizations ◽  
Telemedicine Application ◽  
Clinical Utilization ◽  
Steady Growth ◽  
Multiple Data ◽  
One Year ◽  
Collection Strategies

We studied two rural telemedicine projects in the state of Michigan: one that enjoyed success and steady growth in activity, and one that experienced frustration and a lack of clinical utilization. Multiple data collection strategies were employed during study periods, which lasted approximately one year. Both projects enjoyed a grassroots approach and had dedicated project coordinators. However, the more successful project benefited from resources and expertise not available to the less successful project. In addition, the more successful project possessed a more formalized organizational structure for the telemedicine application. A comparison of the two projects leads to a simple conclusion. Telemedicine programmes are positioned within larger health organizations and do not operate in a vacuum. It is crucial that the organization in which it is intended to launch telemedicine is examined carefully first. Each organization operates within a larger environment, which is often constrained by fiscal, geographical and personnel factors. All these will affect the introduction of telemedicine.

ADaCS: A Tool for Analysing Data Collection Strategies

2017 ◽  
pp. 230-245
Author(s):  
John C. Mace ◽  
Nipun Thekkummal ◽  
Charles Morisset ◽  
Aad Van Moorsel
Keyword(s):  
Data Collection ◽  
Collection Strategies

Information content of data with respect to models

1983 ◽  
Vol 245 (5) ◽  
pp. R620-R623
Author(s):  
M. Berman ◽  
P. Van Eerdewegh
Keyword(s):  
Experimental Data ◽  
Data Collection ◽  
Information Content ◽  
Mathematical Framework ◽  
Statistical Measures ◽  
Parameter Values ◽  
Collection Strategies

A measure is proposed for the information content of data with respect to models. A model, defined by a set of parameter values in a mathematical framework, is considered a point in a hyperspace. The proposed measure expresses the information content of experimental data as the contribution they make, in units of information bits, in defining a model to within a desired region of the hyperspace. This measure is then normalized to conventional statistical measures of uncertainty. It is shown how the measure can be used to estimate the information of newly planned experiments and help in decisions on data collection strategies.

scholarly journals The four weeks before lockdown during the COVID-19 pandemic in Germany: a weekly serial cross-sectional survey on risk perceptions, knowledge, public trust and behaviour, 3 to 25 March 2020

2021 ◽  
Vol 26 (42) ◽  
Author(s):  
Cornelia Betsch ◽  
Lars Korn ◽  
Tanja Burgard ◽  
Wolfgang Gaissmaier ◽  
Lisa Felgendreff ◽  
...  
Keyword(s):  
Data Collection ◽  
Risk Perceptions ◽  
Online Survey ◽  
Adult Population ◽  
Healthcare Sector ◽  
Federal State ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Psychological Variables ◽  
Trust In Institutions

Background During the COVID-19 pandemic, public perceptions and behaviours have had to adapt rapidly to new risk scenarios and radical behavioural restrictions. Aim To identify major drivers of acceptance of protective behaviours during the 4-week transition from virtually no COVID-19 cases to the nationwide lockdown in Germany (3–25 March 2020). Methods A serial cross-sectional online survey was administered weekly to ca 1,000 unique individuals for four data collection rounds in March 2020 using non-probability quota samples, representative of the German adult population between 18 and 74 years in terms of age × sex and federal state (n = 3,910). Acceptance of restrictions was regressed on sociodemographic variables, time and psychological variables, e.g. trust, risk perceptions, self-efficacy. Extraction of homogenous clusters was based on knowledge and behaviour. Results Acceptance of restrictive policies increased with participants’ age and employment in the healthcare sector; cognitive and particularly affective risk perceptions were further significant predictors. Acceptance increased over time, as trust in institutions became more relevant and trust in media became less relevant. The cluster analysis further indicated that having a higher education increased the gap between knowledge and behaviour. Trust in institutions was related to conversion of knowledge into action. Conclusion Identifying relevant principles that increase acceptance will remain crucial to the development of strategies that help adjust behaviour to control the pandemic, possibly for years to come. Based on our findings, we provide operational recommendations for health authorities regarding data collection, health communication and outreach.

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