scholarly journals Improving Efficiency in Mobile Data Collection for Place-Based Public Health Research

2019 ◽  
Vol 109 (S2) ◽  
pp. S123-S125 ◽  
Author(s):  
Daniel P. Giovenco ◽  
Torra E. Spillane
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Health Research ◽  
Public Health Research ◽  
Mobile Data ◽  
Mobile Data Collection

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 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.

scholarly journals Managing public health data: mobile applications and mass vaccination campaigns

2017 ◽  
Vol 25 (4) ◽  
pp. 435-439 ◽  
Author(s):  
Melissa W McClung ◽  
Sarah A Gumm ◽  
Megan E Bisek ◽  
Amber L Miller ◽  
Bryan C Knepper ◽  
...  
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Mobile Application ◽  
Data Entry ◽  
Mobile Data ◽  
Mobile Data Collection ◽  
Public Health Data ◽  
Mass Immunization ◽  
Vaccination Campaigns ◽  
Influenza Vaccinations

Abstract In response to data collection challenges during mass immunization events, Denver Public Health developed a mobile application to support efficient public health immunization and prophylaxis activities. The Handheld Automated Notification for Drugs and Immunizations (HANDI) system has been used since 2012 to capture influenza vaccination data during Denver Health’s annual employee influenza campaign. HANDI has supported timely and efficient administration and reporting of influenza vaccinations through standardized data capture and database entry. HANDI’s mobility allows employee work locations and schedules to be accommodated without the need for a paper-based data collection system and subsequent manual data entry after vaccination. HANDI offers a readily extensible model for mobile data collection to streamline vaccination documentation and reporting, while improving data quality and completeness.

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.

A mobile data collection platform for mental health research

2011 ◽  
Vol 17 (2) ◽  
pp. 241-251 ◽  
Author(s):  
Andrea Gaggioli ◽  
Giovanni Pioggia ◽  
Gennaro Tartarisco ◽  
Giovanni Baldus ◽  
Daniele Corda ◽  
...  
Keyword(s):  
Mental Health ◽  
Data Collection ◽  
Health Research ◽  
Mental Health Research ◽  
Mobile Data ◽  
Mobile Data Collection

scholarly journals An innovative mobile data collection technology for public health in a field setting

2018 ◽  
Vol 10 (2) ◽  
Author(s):  
Shamir N Mukhi ◽  
Karna Dhiravani ◽  
Brad Micholson ◽  
Lin Yan ◽  
Jenna Hatchard ◽  
...  
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Information Sharing ◽  
Mobile Technology ◽  
Health Professionals ◽  
Mobile Application ◽  
Mobile App ◽  
Mobile Data ◽  
Mobile Data Collection ◽  
Public Health Professionals

Objectives: The Canadian Network for Public Health Intelligence (CNPHI) is a secure, web-based scientific informatics and biosurveillance platform that leverages disparate public health information resources and expertise for the direct benefit of local, regional and national decision makers. CNPHI fosters ‎collaboration and consultation through innovation in disease surveillance, intelligence exchange, research and response to protect, promote and support public health. The objective of this article is to present the CNPHI ‘on the go’ mobile application, and to discuss preliminary evaluation of the technology. The mobile application is intended to enable rapid mobile data collection using both online and offline modes supporting various stages of surveillance and response through the extension of data collection and analysis to the mobile environment.Methods: Two needs assessment meetings were held with stakeholders representing individuals from government, academia and research institutions, to inform the development of the CNPHI “on the go” mobile application. An initial version of the mobile technology (an “app”) was developed and piloted by end-users with expertise in the field. Two focused pilots were conducted to test the technology: Pilot 1: 17-7-2017 to 21-11-2017 (6 participants); Pilot 2: 25-7-2017 to 15-9-2017 (2 participants). An initial consultation was held with the project leads to identify data elements for mobile data collection. A custom data collection form was designed using CNPHI’s Web Data technology for each pilot, which was then made available through the mobile app. The technology was assessed using feedback received during each pilot as well as through a survey that was conducted at the conclusion of pilots.Results: Pilot participants reported that the mobile technology allowed seamless data collection, data management and rapid information sharing. Participants also reported that the entire process was seamless, simple, efficient, and that fewer steps were required for data collection and management. Further, significant efficiencies were gained by directly entering information using the mobile app without having to transfer handwritten information into an electronic database. An overall positive experience was reported by participants from both pilots.Discussion: Literature suggests that traditional methods of surveillance and data collection using a paper based methodology pose many challenges such as data loss and duplication, difficulty in managing the database, and lack of timely access to the data. Accurate and rapid access is critical for public health professionals in order to effectively make decisions and respond to public health emergencies. Results show that the CNPHI “on the go” app is well poised to address some of the suggested challenges. A limitation of this study was that sample size for pilot participation was small for capturing overall feedback on the readiness of the technology for integration into regular surveillance activities and response procedures.Conclusions: CNPHI “on the go” is a customizable technology developed within an already thriving collaborative CNPHI platform used by public health professionals, and performs well as a tool for rapid data collection and secure information sharing.

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