An analysis of the diagnostic accuracy and peer-to-peer health information provided on online health forums for heart failure

Patient Information Needs and Decision-Making Before a Cardiac Implantable Electronic Device: A Qualitative Study Utilizing Social Media Data

The decision to receive a cardiac implantable electronic device (CIED) represents a challenging experience for patients. However, the majority of previous research has only considered retrospective accounts of patient experiences. This study aimed to use social media data to characterize the information sought by people anticipating or considering CIED implantation and factors that influence their decision-making experiences. A Python-based script was used to collect posts made to a community intended for discussions concerning CIEDs on the social media platform Reddit. Reflexive content analysis was used to analyze the collected data. From 799 posts collected, 101 made by 86 participants were analyzed. The reported median (range) age of participants was 34 (16-67), and most were anticipating or considering a pacemaker. Three overarching categories classified the data: "Use of social media to meet informational and other needs"; "Factors influencing acceptance of the need for implantation"; and "Specific concerns considered during decision-making." Participants anticipating or considering a CIED predominantly sought experiential information. Among asymptomatic participants, doubts were prevalent, with acceptance being an influential factor in decision-making. Healthcare professionals should recognize the informational and emotional needs of prospective CIED patients and tailor support mechanisms to better facilitate their decision-making.

Information exchange on adolescent scoliosis discussion forums among patients and caregivers: a thematic analysis

PURPOSE

Online health-related support groups have increasingly become a regular resource for patients and caregivers; however, the content of these forums is largely unknown to medical teams. The purposes of this study were to (1) review posts from scoliosis discussion forums to establish common themes related to the care experience of patients with scoliosis and (2) understand how common themes vary among pediatric and adult patients, as well as caregivers.

METHODS

Posts were collected from two public scoliosis forums. Analysis was performed using grounded theory-a methodology that relies on the repeated analyses of qualitative data to identify recurring concepts, which are then coded and grouped into categories and ultimately central themes that seek to synthesize the relationships between categories. Information posts were reviewed by a board-certified orthopedic surgeon who performs scoliosis surgery for factual basis or misinformation.

RESULTS

Analysis of 911 posts revealed five central themes. The two most common themes among patients ≥ 18 and caregivers involve seeking out emotional support and information about surgical treatment. Patients < 18 frequently sought out emotional support but were also largely interested in information about bracing. The most prevalent theme among all contributors involved seeking out emotional support. There was very little medical misinformation found within posts.

CONCLUSION

Scoliosis forums serve as an informal outlet where patients and families can offer emotional support and share experiences. Physicians should provide direct emotional support to patients and offer these forums as a resource, without significant concerns about propagating medical misinformation.

Peer advice for women living with HIV in the Southern USA

Peer advice can provide emotional, social and practical assistance for the sustained self-management of chronic conditions. For stigmatised diseases such as HIV, finding support can be challenging. Women living with HIV in the Southern USA are additionally impacted upon by region-specific barriers such as stigma, poverty and limited access to services. The effectiveness of peer advice has been studied, yet little is known about the advice shared amongst women living with HIV. Therefore, we aimed to qualitatively explore the context and content of the advice participants offered to other women. With the assistance of a Community Clinician Advisory Board, women were recruited from across the US Centers for Disease Control and Prevention South Census Region. In-depth interviews were conducted with (N = 40) participants, aged 23 to 72 years (M = 51.2). Qualitative inductive thematic analysis was used to explore both the solicited and unprompted advice shared during individual interviews. Analysis of interview transcripts revealed three advice themes: Consistency in disease management Practical, non-medical advice; and Emotional and social support. The findings are valuable in shaping future peer-delivered programmes and interventions to enhance HIV care engagement, medication adherence, and the well-being of women living with HIV in the Southern USA.

Most Patients With Bone Sarcomas Seek Emotional Support and Information About Other Patients' Experiences: A Thematic Analysis

BACKGROUND

Online discussion forums allow individuals who otherwise may be strangers to create a community where they can seek and share information. Patients with bone sarcomas and their support networks use discussion forums dedicated to cancer support. There is a paucity of published reports regarding the care experience of patients with bone sarcomas because studies on online discussion groups have primarily focused on some of the more common cancers, including breast and prostate cancer. Understanding commonly discussed themes among patients with bone sarcomas would allow treating physicians to have a better understanding of patient concerns when providing patient education and counseling.

QUESTION/PURPOSE

We performed this study to review posts from bone sarcoma internet discussion boards to establish common themes related to the care experience of patients with sarcomas.

METHODS

Online discussion forums were identified using the search term "sarcoma discussion forum." After identifying 12 websites, we excluded closed forum groups, websites with missing or invalid links to forums, and nonpublic forums, such as groups on Facebook. These websites include profiles and photos that are personal, and sufficient author anonymity could not be achieved for this study. Posts written between January 1, 2012, and May 1, 2022, posted on five discussion boards were reviewed and collected until we reached a point of data saturation in which we agreed that the collection of additional posts would not reveal new themes. Discussion threads were filtered to identify posts pertaining to the most common bone sarcomas: chondrosarcoma, Ewing sarcoma, and osteosarcoma. Grounded theory-the methodology of repeated analyses of qualitative data to identify recurring themes or concepts-was used to analyze posts. Caregiver posts were delineated from patient posts and categorized separately for subgroup analysis. Grounded theory, although a qualitative method, endeavors to integrate the strengths inherent in quantitative methods with qualitative approaches. Grounded theory categorizes words, language, and the meanings these imply and seeks to organize and reduce the data gathered into themes or essences, which, in turn, can be fed into descriptions, models, or theories. Our analysis used three reviews of text to assign and group codes based on repeating ideas or concepts. The first review (open coding) aims to assign codes based on the verbatim text included by the author to capture the specific thoughts and ideas of the post. The second review (axial coding) aims to consolidate the ideas of posts by applying broader concepts to each post. The third and final review (selective coding) aims to further consolidate the themes of each post by trying to embody the main message contained in a post. A total of 570 posts from 139 threads were collected and analyzed using grounded theory. Twenty-five axial codes and four selective codes were created. We defined data saturation by the absence of a new open code in the analysis of a block of 50 posts to ensure that signals of saturation were not accepted too early in the analysis.

RESULTS

The four selective codes included emotional aspects or connecting with others, information support: diagnosis, information support: treatment, and information support: recovery. Of these four codes, emotional aspects and connecting with others was the most prevalent theme (78% [445 of 570] of posts) followed by information support: treatment (49% [282 of 570] of posts). Information support: diagnosis and information support: recovery were each captured in 15% of posts.

CONCLUSION

Analysis of posts reveals that the two most common themes involve seeking out emotional support and information about the experiences of others with various treatment modalities. Although most of the posts we assessed contained experiential information and emotional support rather than directed medical advice, future studies should assess the accuracy of information shared among online sarcoma forums.

CLINICAL RELEVANCE

Physicians caring for patients with sarcomas should not only address patient concerns related to medical care, but also provide emotional support directly and assist patients by providing resources to peer support outlets, including online discussion forums. Although we cannot ascertain the proportion of patients who use online sites given the anonymity of posts included, these findings suggest common experiential themes across patients with sarcomas outside their doctors' offices. It is important that providers be aware of reputable forums to provide as resources for their patients. The Musculoskeletal Tumor Society may further benefit from endorsing one or more of these forums and providing physician oversight to monitor misinformation.

Investigating Machine Learning & Natural Language Processing Techniques Applied for Predicting Depression Disorder from Online Support Forums: A Systematic Literature Review

Depression is a common mental health disorder that affects an individual’s moods, thought processes and behaviours negatively, and disrupts one’s ability to function optimally. In most cases, people with depression try to hide their symptoms and refrain from obtaining professional help due to the stigma related to mental health. The digital footprint we all leave behind, particularly in online support forums, provides a window for clinicians to observe and assess such behaviour in order to make potential mental health diagnoses. Natural language processing (NLP) and Machine learning (ML) techniques are able to bridge the existing gaps in converting language to a machine-understandable format in order to facilitate this. Our objective is to undertake a systematic review of the literature on NLP and ML approaches used for depression identification on Online Support Forums (OSF). A systematic search was performed to identify articles that examined ML and NLP techniques to identify depression disorder from OSF. Articles were selected according to the PRISMA workflow. For the purpose of the review, 29 articles were selected and analysed. From this systematic review, we further analyse which combination of features extracted from NLP and ML techniques are effective and scalable for state-of-the-art Depression Identification. We conclude by addressing some open issues that currently limit real-world implementation of such systems and point to future directions to this end.