A Culturally Appropriate, Web-Based Technology for Anonymous Data Collection for Public Health Research in Culturally Diverse Populations

2007 ◽  
Vol 9 (3) ◽  
pp. 15-26
Author(s):  
Michael Douma ◽  
Eduard J. Gamito
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Health Research ◽  
Culturally Diverse ◽  
Public Health Research ◽  
Diverse Populations ◽  
Culturally Appropriate ◽  
Web Based ◽  
Culturally Diverse Populations

Addressing the Needs of Culturally Diverse Populations in Community-Based Health Research

2001 ◽  
Author(s):  
Renee Taylor ◽  
Gary Harper ◽  
Audrey Bangi ◽  
Radhika Chimata ◽  
Danielle Johnson
Keyword(s):  
Health Research ◽  
Culturally Diverse ◽  
Diverse Populations ◽  
Community Based ◽  
Culturally Diverse Populations

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 Avatar Web-Based Self-Report Survey System Technology for Public Health Research: Technical Outcome Results and Lessons Learned

2016 ◽  
Vol 8 (2) ◽  
Author(s):  
Craig Savel ◽  
Stan Mierzwa ◽  
Pamina M Gorbach ◽  
Samir Souidi ◽  
Michelle Lally ◽  
...  
Keyword(s):  
Public Health ◽  
Health Research ◽  
The United States ◽  
Public Health Research ◽  
Lessons Learned ◽  
Self Report ◽  
Web Based ◽  
Survey System ◽  
Report Data ◽  
Self Report Data

This paper reports on a specific Web-based self-report data collection system that was developed for a public health research study in the United States. Our focus is on technical outcome results and lessons learned that may be useful to other projects requiring such a solution. The system was accessible from any device that had a browser that can support HTML5. Report findings include: which hardware devices, Web browsers, and operating systems were used, the rate of survey completion, and key considerations for employing Web-based surveys in a clinical trial setting. 

Testing Balance Function in Spanish-Speaking Patients

1995 ◽  
Vol 4 (2) ◽  
pp. 15-23 ◽  
Author(s):  
Jody Newman-Ryan ◽  
Briseida DeLeon Northrup ◽  
Claudia Villarreal-Emery
Keyword(s):  
Culturally Diverse ◽  
Balance Function ◽  
Diverse Populations ◽  
Clinical Services ◽  
Culturally Appropriate ◽  
Spanish Speaking ◽  
One Step ◽  
Culturally Diverse Populations

In conclusion, clinicians are advised to avoid becoming complacent with the notion that they are doing the best they can in working with culturally diverse populations, and instead are advised to strive towards excellence in providing services that are linguistically and culturally appropriate (Erickson & Iglesias, 1986). This article is only one step towards the goal of providing better services to patients who are Spanish-speaking and who are suspected of having balance difficulties. Further work in the area of providing clinical services to this population is definitely needed.

scholarly journals Using Interviewing in Public Health Research: Experiences of Novice Researchers

2019 ◽  
Author(s):  
Caroline Wood ◽  
Nancy Daley-Moore ◽  
Rachel Powell
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Vulnerable Populations ◽  
Health Research ◽  
People With Disabilities ◽  
Public Health Research ◽  
Power Imbalance ◽  
Ethical Considerations ◽  
Research Experiences ◽  
Interview Studies

In this article, we provide the experiences of three novice public health researchers conducting studies with several vulnerable populations: women, people with disabilities, and children. We describe all phases of our interview studies including developing data collection guides, planning the interview in an appropriate setting, conducting the interviews, and bringing the interview to a close. Specific components of the interviews that are discussed include establishing rapport and minimizing the power imbalance inherent between interviewer and interviewee, including the added power imbalance that vulnerable populations experience. Issues of maintaining quality and rigor, as well as ethical considerations for working with our specific populations are also discussed.

Framing Public Health Research Ethics

2019 ◽  
pp. 330-341
Author(s):  
Holly A. Taylor
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Research Ethics ◽  
Health Research ◽  
Public Health Research ◽  
Health Data ◽  
Respect For Persons ◽  
Ethical Implications ◽  
Public Health Data ◽  
Systematic Collection

The systematic collection and analysis of data is central to public health. Some public health activities are easily classified as either research or nonresearch, while the distinction is more nuanced for other activities. How an activity gets classified has ethical implications—additional oversight, requirements for consent of participants, and potentially whether the activity can be undertaken at all. Scholarly analysis of this issue suggests that an important aspect distinguishing research from other public health data collection activities is to consider the intent of the activity and whether experimentation is involved. The three ethical principles of respect for persons, beneficence, and (distributive) justice guide researchers in their relationships with individual participants. Because public health research can be directed at an entire community, this chapter posits that these three principles must be extended to appropriately include and consider the community as a stakeholder.

An Overview of Ethics and Public Health Data Collection

2019 ◽  
pp. 313-319
Author(s):  
Holly A. Taylor
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Health Research ◽  
Public Health Practice ◽  
Community Based Participatory Research ◽  
Public Health Research ◽  
Health Data ◽  
Community Based ◽  
Public Health Data ◽  
Research Questions

Collection of data is essential to the practice of public health. This chapter provides a brief introduction to ethics and public health data collection, as well as an overview of chapters in the related section of The Oxford Handbook on Public Health Ethics. A key ethics challenge has been, and will remain, how best to balance the health of the community with the respect owed to individual citizens. The four chapters in this section examine various aspects of those ethics challenges, including those related to the scope of public health surveillance activities, the distinction between public health practice and public health research, community-based participatory research (CBPR), and the use of big data to answer public health research questions.

Sign in / Sign up

Export Citation Format

Share Document