Using Large-scale Social Media Analytics to Understand Patient Perspectives About Urinary Tract Infections: Thematic Analysis

TikTok misinformation and user engagement in female pelvic floor conditions

IMPORTANCE

Social media platforms are increasingly utilized to distribute medical information. Our study emphasizes the need for accuracy in pelvic health education on social media and the involvement of female pelvic floor (FPF) specialists in content creation.

AIMS

In this cross-sectional study, we assessed the FPF TikTok videos with the highest engagement for quality of information and misinformation and investigated the relationship between misinformation and user engagement.

METHODS

We collected all TikTok videos on the US app with hashtags related to FPF conditions, including 76 on pelvic organ prolapse, 323 on urinary tract infection, 84 on overactive bladder, and 972 on incontinence. The top 20 videos for each FPF condition were selected based on highest engagement, and 74 videos total met inclusion criteria. TikTok videos were scored with the validated DISCERN instrument for quality of consumer health information and a 5-point Likert scale for misinformation. The correlation between misinformation and user engagement was assessed.

RESULTS

Our analysis revealed positive correlations among higher average misinformation scores and shares (r = 0.37, p < 0.001), likes (r = 0.23, p = 0.004), and overall engagement (r = 0.25, p = 0.002) in FPF TikTok videos as a group, likely driven by the #UTI category. Most TikTok videos (96%) had poor quality of information (DISCERN score < 3), and 18% of TikTok videos contained misinformation.

CONCLUSION

The poor quality and prevalence of misinformation in FPF-related TikTok videos with the highest engagement raise concerns about the propagation of nonevidence-based health information.

Disclosure Patterns of Opioid Use Disorders in Perinatal Care During the Opioid Epidemic on X From 2019 to 2021: Thematic Analysis

BACKGROUND

In 2021, the United States experienced a 14% rise in fatal drug overdoses totaling 106,699 deaths, driven by harmful opioid use, particularly among individuals in the perinatal period who face increased risks associated with opioid use disorders (OUDs). Increased concerns about the impacts of escalating harmful opioid use among pregnant and postpartum persons are rising. Most of the current limited perinatal OUD studies were conducted using traditional methods, such as interviews and randomized controlled trials to understand OUD treatment, risk factors, and associated adverse effects. However, little is known about how social media data, such as X, formerly known as Twitter, can be leveraged to explore and identify broad perinatal OUD trends, disclosure and communication patterns, and public health surveillance about OUD in the perinatal period.

OBJECTIVE

The objective is 3-fold: first, we aim to identify key themes and trends in perinatal OUD discussions on platform X. Second, we explore user engagement patterns, including replying and retweeting behaviors. Third, we investigate computational methods that could potentially streamline and scale the labor-intensive manual annotation effort.

METHODS

We extracted 6 million raw perinatal-themed tweets posted by global X users during the opioid epidemic from May 2019 to October 2021. After data cleaning and sampling, we used 500 tweets related to OUD in the perinatal period by US X users for a thematic analysis using NVivo (Lumivero) software.

RESULTS

Seven major themes emerged from our thematic analysis: (1) political views related to harmful opioid and other substance use, (2) perceptions of others' substance use, (3) lived experiences of opioid and other substance use, (4) news reports or papers related to opioid and other substance use, (5) health care initiatives, (6) adverse effects on children's health due to parental substance use, and (7) topics related to nonopioid substance use. Among these 7 themes, our user engagement analysis revealed that themes 4 and 5 received the highest average retweet counts, and theme 3 received the highest average tweet reply count. We further found that different computational methods excel in analyzing different themes.

CONCLUSIONS

Social media platforms such as X can serve as a valuable tool for analyzing real-time discourse and exploring public perceptions, opinions, and behaviors related to maternal substance use, particularly, harmful opioid use in the perinatal period. More health promotion strategies can be carried out on social media platforms to provide educational support for the OUD perinatal population.

Reporting of Ethical Considerations in Qualitative Research Utilizing Social Media Data on Public Health Care: Scoping Review

BACKGROUND

The internet community has become a significant source for researchers to conduct qualitative studies analyzing users' views, attitudes, and experiences about public health. However, few studies have assessed the ethical issues in qualitative research using social media data.

OBJECTIVE

This study aims to review the reportage of ethical considerations in qualitative research utilizing social media data on public health care.

METHODS

We performed a scoping review of studies mining text from internet communities and published in peer-reviewed journals from 2010 to May 31, 2023. These studies, limited to the English language, were retrieved to evaluate the rates of reporting ethical approval, informed consent, and privacy issues. We searched 5 databases, that is, PubMed, Web of Science, CINAHL, Cochrane, and Embase. Gray literature was supplemented from Google Scholar and OpenGrey websites. Studies using qualitative methods mining text from the internet community focusing on health care topics were deemed eligible. Data extraction was performed using a standardized data extraction spreadsheet. Findings were reported using PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines.

RESULTS

After 4674 titles, abstracts, and full texts were screened, 108 studies on mining text from the internet community were included. Nearly half of the studies were published in the United States, with more studies from 2019 to 2022. Only 59.3% (64/108) of the studies sought ethical approval, 45.3% (49/108) mentioned informed consent, and only 12.9% (14/108) of the studies explicitly obtained informed consent. Approximately 86% (12/14) of the studies that reported informed consent obtained digital informed consent from participants/administrators, while 14% (2/14) did not describe the method used to obtain informed consent. Notably, 70.3% (76/108) of the studies contained users' written content or posts: 68% (52/76) contained verbatim quotes, while 32% (24/76) paraphrased the quotes to prevent traceability. However, 16% (4/24) of the studies that paraphrased the quotes did not report the paraphrasing methods. Moreover, 18.5% (20/108) of the studies used aggregated data analysis to protect users' privacy. Furthermore, the rates of reporting ethical approval were different between different countries (P=.02) and between papers that contained users' written content (both direct and paraphrased quotes) and papers that did not contain users' written content (P<.001).

CONCLUSIONS

Our scoping review demonstrates that the reporting of ethical considerations is widely neglected in qualitative research studies using social media data; such studies should be more cautious in citing user quotes to maintain user privacy. Further, our review reveals the need for detailed information on the precautions of obtaining informed consent and paraphrasing to reduce the potential bias. A national consensus of ethical considerations such as ethical approval, informed consent, and privacy issues is needed for qualitative research of health care using social media data of internet communities.

Medical service quality evaluation based on LDA and sentiment analysis: Examples of seven chronic diseases

Objective

In this article, we investigate how chronic noncommunicable disease (CND) patients evaluate the medical service, and what obstacles exist in this process, which is useful for hospitals to improve efficiency and enhance patient satisfaction.

Methods

Based on the total number of CND patients in China, 7 CNDs were selected as the evaluation objects, and then selected the Haodaifu website as the data source, crawled 15,682 medical service reviews, then the 9 themes were analyzed by the LDA theme model. The evaluation index system of six indicators was constructed based on quality management theory. The binary long short-term memory model was used to analyze the sentiment, and the entropy-valued, TOPSIS and gray correlation model was implemented for medical service quality evaluation; the barrier model was used to find out the key factors limiting medical services.

Results

(a) Hypertension was rated at a good level in the degree of gray correlation closeness, bronchitis was rated at a low level and the rest were at an intermediate level. (b) The first two overall barriers were the hospitalization process and registration services which occupy about 30%, respectively. This implies that hospitals should focus on providing registration services and inpatient settings in the future.

Conclusion

To promote hospitals to provide better services for patients with CNDs and improve patient satisfaction with medical care. And it is necessary to optimize medical services fundamentally by optimizing the inpatient process and improving the registration process to improve efficiency.

Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review

BACKGROUND

Given the rapid development of social media, effective extraction and analysis of the contents of social media for health care have attracted widespread attention from health care providers. As far as we know, most of the reviews focus on the application of social media, and there is a lack of reviews that integrate the methods for analyzing social media information for health care.

OBJECTIVE

This scoping review aims to answer the following 4 questions: (1) What types of research have been used to investigate social media for health care, (2) what methods have been used to analyze the existing health information on social media, (3) what indicators should be applied to collect and evaluate the characteristics of methods for analyzing the contents of social media for health care, and (4) what are the current problems and development directions of methods used to analyze the contents of social media for health care?

METHODS

A scoping review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was conducted. We searched PubMed, the Web of Science, EMBASE, the Cumulative Index to Nursing and Allied Health Literature, and the Cochrane Library for the period from 2010 to May 2023 for primary studies focusing on social media and health care. Two independent reviewers screened eligible studies against inclusion criteria. A narrative synthesis of the included studies was conducted.

RESULTS

Of 16,161 identified citations, 134 (0.8%) studies were included in this review. These included 67 (50.0%) qualitative designs, 43 (32.1%) quantitative designs, and 24 (17.9%) mixed methods designs. The applied research methods were classified based on the following aspects: (1) manual analysis methods (content analysis methodology, grounded theory, ethnography, classification analysis, thematic analysis, and scoring tables) and computer-aided analysis methods (latent Dirichlet allocation, support vector machine, probabilistic clustering, image analysis, topic modeling, sentiment analysis, and other natural language processing technologies), (2) categories of research contents, and (3) health care areas (health practice, health services, and health education).

CONCLUSIONS

Based on an extensive literature review, we investigated the methods for analyzing the contents of social media for health care to determine the main applications, differences, trends, and existing problems. We also discussed the implications for the future. Traditional content analysis is still the mainstream method for analyzing social media content, and future research may be combined with big data research. With the progress of computers, mobile phones, smartwatches, and other smart devices, social media information sources will become more diversified. Future research can combine new sources, such as pictures, videos, and physiological signals, with online social networking to adapt to the development trend of the internet. More medical information talents need to be trained in the future to better solve the problem of network information analysis. Overall, this scoping review can be useful for a large audience that includes researchers entering the field.

Evidence-based review of nonantibiotic urinary tract infection prevention strategies for women: a patient-centered approach

PURPOSE OF REVIEW

There is a growing interest in nonantibiotic prevention strategies for recurrent urinary tract infections (rUTIs). Our objective is to provide a focused, pragmatic review of the latest evidence.

RECENT FINDINGS

Vaginal estrogen is well tolerated and effective for preventing rUTI in postmenopausal women. Cranberry supplements at sufficient doses are effective in preventing uncomplicated rUTI. Methenamine, d -mannose, and increased hydration all have evidence to support their use, although the evidence is of somewhat variable quality.

SUMMARY

There is sufficient evidence to recommend vaginal estrogen and cranberry as first-line rUTI prevention strategies, particularly in postmenopausal women. Prevention strategies can be used in series or in tandem, based on patient preference and tolerance for side effects, to create effective nonantibiotic rUTI prevention strategies.

Psychosocial impact of recurrent urogenital infections: a review

Recurrent urogenital infections such as bacterial vaginosis, vulvovaginal candidiasis, and urinary tract infections have a high prevalence and pronounced psychosocial impact. However, no review has compared the psychosocial impacts across infection types. This narrative review discusses the impact of common recurrent urogenital infections on psychosocial aspects, including quality of life, stress, mental health, sexual health, work productivity, race and ethnicity, and satisfaction of medical care. Validated questionnaires show that women with recurrent vulvovaginal candidiasis and urinary tract infections have decreased scores on all aspects of quality of life. Those with recurrent vulvovaginal candidiasis and urinary tract infections show lower mental health scores compared to the general population, with increased risk of anxiety and depression. Recurrent urogenital infections affect sexual relationships and intimacy, including avoidance due to symptoms or as a method of prevention. Recurrent infections also increase medical cost and negatively affect work productivity, leading to a combined estimated cost of over US$13 billion per year. There are clear effects of racial inequality involving minority populations that affect diagnosis, treatment, prevalence, and reporting of recurrent urogenital infections. Satisfactory medical treatment improves quality of life and mental health in those suffering from these conditions. Research evaluating psychosocial aspects of recurrent urogenital infections is variable and is not comparable across vulvovaginal conditions. Even so, psychosocial factors are important in understanding contribution and consequence of urogenital infections. Education, awareness, normalization, community support, and access to care can help to alleviate the negative implications of recurrent urogenital infections.