Strategies for Communicating Public Health Research Findings

2011 ◽  
Author(s):  
Cynthia Tschampl
Keyword(s):  
Public Health ◽  
Health Research ◽  
Public Health Research ◽  
Research Findings

scholarly journals Introduction to the Symposium: Causal Inference and Public Health

2019 ◽  
Vol 40 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Allison E. Aiello ◽  
Lawrence W. Green
Keyword(s):  
Public Health ◽  
Causal Inference ◽  
Health Research ◽  
External Validity ◽  
Environmental Science ◽  
Social Epidemiology ◽  
Public Health Research ◽  
Health Problems ◽  
Research Findings ◽  
Internal And External Validity

Assessing the extent to which public health research findings can be causally interpreted continues to be a critical endeavor. In this symposium, we invited several researchers to review issues related to causal inference in social epidemiology and environmental science and to discuss the importance of external validity in public health. Together, this set of articles provides an integral overview of the strengths and limitations of applying causal inference frameworks and related approaches to a variety of public health problems, for both internal and external validity.

Using Twitter to Disseminate: A mixed-methods exploration of the extent and nature of the dissemination of a public health research project via the microblogging platform. (Preprint)

2020 ◽  
Author(s):  
Robyn McCarthy ◽  
Cathy Ure ◽  
Penny A Cook
Keyword(s):  
Public Health ◽  
Health Research ◽  
Positive Association ◽  
Public Health Research ◽  
Structured Interviews ◽  
Research Project ◽  
Twitter Analytics ◽  
Twitter Account ◽  
Research Findings ◽  
The Relationship

UNSTRUCTURED Abstract Social media plays an increasing role in the dissemination of public health research. For public health research projects, a Twitter account holds the potential to disseminate research outcomes to other public health academics, professionals and policymakers. Aims The study examined users’ interactions with the Twitter account of a single research project. Specifically, it (i) measured the relationship between tweet content, using a tweet content score (TCS), and tweet success measured in engagements and impressions; and (ii) explored in depth, the motivations, opinions and experiences of public health academics and professionals using the micro blogging platform Twitter. Methods All Twitter Analytics data for the identified account were retrieved (n= 119 tweets) and the relationship between tweet content and success analysed. Seven stakeholders participated in semi-structured interviews to explore attitudes and motivations around engagement with Twitter. Results A positive correlation between TCS and tweet success was found. Tweets containing at least one mention had significantly greater impressions (551.48 compared to 232.00) and engagements (10.65 compared to 4.42). Tweets containing an image had a significant increase in engagements (13.13 compared to 8.29) but no effect on impressions. Qualitative analysis of the interview data revealed the importance of topic, positivity, and instruction in tweet content. Concerns with platform use related to legitimacy, negative experiences and lack of user confidence. Conclusions The study supports previous research findings. Twitter is a useful tool for public health dissemination and a positive association between TCS and tweet success exists. It is hoped that the findings of this research may be of use to other public health projects using Twitter for dissemination and impact.

scholarly journals Using research networks to generate trustworthy qualitative public health research findings from multiple contexts

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Lot Nyirenda ◽  
Meghan Bruce Kumar ◽  
Sally Theobald ◽  
Malabika Sarker ◽  
Musonda Simwinga ◽  
...  
Keyword(s):  
Public Health ◽  
Health Research ◽  
Public Health Research ◽  
Research Networks ◽  
Multiple Contexts ◽  
Research Findings

Causation and causal inference

2021 ◽  
pp. 183-192
Author(s):  
Katherine J. Hoggatt ◽  
Tyler J. VanderWeele ◽  
Sander Greenland
Keyword(s):  
Public Health ◽  
Causal Inference ◽  
Health Research ◽  
Public Health Research ◽  
Prediction Problem ◽  
Potential Outcome ◽  
Epidemiologic Evidence ◽  
Outcome Framework ◽  
Research Findings ◽  
Inference Theory

This chapter provides an introduction to causal inference theory for public health research. Causal inference can be viewed as a prediction problem, addressing the question of what the likely outcome will be under one action vs. an alternative action. To answer this question usefully requires clarity and precision in both the statement of the causal hypothesis and the techniques used to attempt an answer. This chapter reviews considerations that have been invoked in discussions of causality based on epidemiologic evidence. It then describes the potential-outcome (counterfactual) framework for cause and effect, which shows how measures of effect and association can be distinguished. The potential-outcome framework illustrates problems inherent in attempts to quantify the changes in health expected under different actions or interventions. The chapter concludes with a discussion of how research findings may be translated into policy.

scholarly journals Utilizing asynchronous email interviews for health research: overview of benefits and drawbacks

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Michelle Amri ◽  
Christina Angelakis ◽  
Dilani Logan
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Data Quality ◽  
Health Research ◽  
Geographic Location ◽  
Public Health Research ◽  
Data Accuracy ◽  
Global Public Health ◽  
Snowball Sampling ◽  
Face To Face

Abstract Objective Through collating observations from various studies and complementing these findings with one author’s study, a detailed overview of the benefits and drawbacks of asynchronous email interviewing is provided. Through this overview, it is evident there is great potential for asynchronous email interviews in the broad field of health, particularly for studies drawing on expertise from participants in academia or professional settings, those across varied geographical settings (i.e. potential for global public health research), and/or in circumstances when face-to-face interactions are not possible (e.g. COVID-19). Results Benefits of asynchronous email interviewing and additional considerations for researchers are discussed around: (i) access transcending geographic location and during restricted face-to-face communications; (ii) feasibility and cost; (iii) sampling and inclusion of diverse participants; (iv) facilitating snowball sampling and increased transparency; (v) data collection with working professionals; (vi) anonymity; (vii) verification of participants; (viii) data quality and enhanced data accuracy; and (ix) overcoming language barriers. Similarly, potential drawbacks of asynchronous email interviews are also discussed with suggested remedies, which centre around: (i) time; (ii) participant verification and confidentiality; (iii) technology and sampling concerns; (iv) data quality and availability; and (v) need for enhanced clarity and precision.

scholarly journals Reporting the methods used in public health research and practice

2017 ◽  
Vol 1 ◽  
pp. 89-89 ◽  
Author(s):  
Donna F. Stroup ◽  
C. Kay Smith ◽  
Benedict I. Truman
Keyword(s):  
Public Health ◽  
Health Research ◽  
Public Health Research ◽  
Research And Practice
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