No abstract

As Facebook continues to grow its number of active users, the potential to harness data generated by Facebook users also grows. As much of Facebook users’ activity consists of creating (and commenting on) written posts, the potential use of text data for research is enormous. However, conducting a content analysis of text from Facebook users requires adaptation of research methods used for more traditional sources of qualitative data. Furthermore, best practice guidelines to assist researchers interested in conducting qualitative studies using data derived from Facebook are lacking. The purpose of this primer was to identify opportunities, as well as potential pitfalls, of conducting qualitative research with Facebook users and their activity on Facebook and provide potential options to address each of these issues. We begin with an overview of information obtained from a literature review of 23 studies published between 2011 and 2018 and our own research experience to summarize current approaches to conducting qualitative health research using data obtained from Facebook users. We then identify potential strategies to address limitations related to current approaches and propose 5 key considerations for the collection, organization, and analysis of text data from Facebook. Finally, we consider ethical issues around the use and protection of Facebook data obtained from research participants. In this primer, we have identified several key considerations that should aid health researchers in the planning and execution of qualitative studies involving content analysis of text data from Facebook users.

Promoting patient engagement in treatment and reducing frequency of missed appointments result in higher value through both improved outcomes and improved efficiency. For this reason, continuous quality improvement (CQI) efforts to increase engagement are important in service operations. This column illustrates the results of a CQI study to determine the impact of method of delivery of phone appointment reminders on attendance rates for a cohort of 250 primary care patients with depression. Results indicated that the type of reminder had a significant impact on attendance. Live reminders had the lowest no-show rate (3%), then message or voice mail reminders (24%) and no answer (39%). These findings illustrate the value of CQI efforts for even such basic interventions as appointment reminders. Appointment attendance rates were considerably higher when there was a live contact. CQI efforts related to reminders therefore may benefit from rapid change cycles that incorporate monitoring of the type of reminder delivery and that continuously seek better strategies for engagement.