Patient accessibility and utilization of behavioral sleep medicine referrals in an academic center.

STUDY OBJECTIVES: Behavioral sleep medicine (BSM) is a subspecialty that combines behavioral psychology and sleep medicine specialties. The objective of this study was to analyze referral patterns to a BSM clinic. The three specific aims were: (1) describe factors that predict referral acceptance, (2) identify barriers to attending initial appointment, and (3) describe variables associated with the number of visits attended. METHODS: Retrospective chart reviews were conducted as part of a quality improvement project by this study team's clinical setting. Adults over 21 years of age who were referred to a behavioral sleep medicine clinic in an urban Midwestern academic healthcare system between 2014-2019 were included in this study. RESULTS: Sleep medicine was the main referral source for BSM patients (74.2%), followed by internal medicine (9.3%) and neurology/psychiatry (7.3%). Thirty-eight percent of patients did not schedule an appointment after a referral for BSM was initiated. Younger age, longer distance from clinic, commercial insurance and out of network insurance were all significantly greater for non-schedulers. Eighty-three percent of patients did attend the initial intake session with BSM providers. Older age was associated with lower likelihood of not attending scheduled BSM appointments. CONCLUSIONS: Patient characteristics of older age, closer distance from clinic, and in network insurance coverage were found to significantly increase the likelihood of BSM scheduling, while younger age, Black race and not getting a primary sleep disorder diagnosis (versus a diagnosis of Insomnia Disorder) and shorter days from referral to appointment were associated with an increased likelihood of not attending the scheduled BSM treatment engagement.

Interventions to Increase the Diversity of Nursing Programs: An Integrative Review.

BACKGROUND: In 2011, the Institute of Medicine's The Future of Nursing: Leading Change, Advancing Health report declared the need to increase diversity in nursing. The National League for Nursing stated that nursing pipeline programs would be essential to create increased diversity. However, no details regarding the definition, construction, or implementation of a nursing pipeline were available within the position statement. METHOD: An inclusive integrative literature review was conducted. The aim was to examine interventions targeted toward increasing diversity in nursing education programs. RESULTS: Twelve articles were included in the review. Similar interventions were used by nursing education programs; these included strategies to raise awareness about nursing to prospective students, preen-try preparation, holistic admissions, scholarships, tutoring, mentoring, and targeted advising. CONCLUSION: Evidence indicates interventions aimed at the retention of at-risk individuals are successful. Additional research is needed to develop effective recruitment strategies for diverse populations. [J Nurs Educ. 2024;63(6):387-393.].

Hypnosis Intervention for Sleep Disturbances in Individuals with Mild Cognitive Impairment: A Randomized Pilot Study.

Poor sleep quality is highly prevalent among individuals with mild cognitive impairment (MCI). Further, poor sleep quality is associated with reduced quality of life, increased stress response, memory impairments, and progression to dementia among individuals with MCI. Pharmacological treatments for sleep have mixed efficacy and can lead to dependency. Therefore, alternatives to pharmacological treatments for improving sleep among individuals with MCI are needed. The present study reports on the feasibility of a non-pharmacological self-administered hypnosis intervention focused on sleep quality in adults with MCI. It was hypothesized that the hypnosis intervention program would be feasible and have acceptable levels of adherence to daily hypnosis practice. A two-armed randomized controlled pilot trial was conducted using a sample of 21 adults with MCI. Eligible participants were randomly assigned to listen to either hypnosis audio recordings or sham hypnosis recordings for five weeks. Program feasibility, program adherence, pain intensity, stress, and sleep quality were measured using a daily home practice log, questionnaires, and wrist actigraphy. The results found mid or higher levels of treatment satisfaction, ease of use, and perceived effectiveness at one-week follow-up, with participants in the hypnosis arm reporting greater perceived benefit. Adherence to assigned audio recordings and meetings were likewise within acceptable margins in both groups. No intervention-related adverse events were reported in either treatment condition. Significant improvements in sleep quality, sleep duration, and daytime sleepiness were found for the hypnosis intervention. The results of this study can be used to inform future research on the effects of hypnosis on sleep quality in adults with MCI.

The Attributes and Influence of Individuals Associated With Newly Licensed Registered Nurses in Nurse Residency Programs: A Guide for Program Development.

Nurse residency programs address the preparation-practice gap by improving the confidence and skills of newly licensed registered nurses and increasing retention rates. Little is known about how persons involved in nurse residency programs influence new nurses' transition to practice. A qualitative descriptive study revealed five attributes of residency program directors, educators, preceptors, mentors, unit leaders, colleagues, and peers that either hindered or facilitated new nurses' transition to practice. Implications for residency program development are addressed.

Referral process to further evaluate poor sleep in breast cancer survivors.

OBJECTIVE: Breast cancer survivors (BCS) are twice as likely to report symptoms of poor sleep as those without cancer. However, sleep disorders are under-assessed and under-treated among BCS. The purpose of this study was to determine the portion of BCS who completed referral visits to a sleep specialist and identify the acceptability, facilitators, and barriers to the screening and referral process. METHODS: BCS, who reported having sleep problems, completed questionnaires to screen for symptoms suggestive of sleep disorders. Those with symptoms suggestive of sleep apnea, movement disorders, narcolepsy, insomnia syndrome, or circadian disorders, they were referred to a sleep medicine physician or behavioral sleep medicine psychologist. Two months after the referral, participants were interviewed about their perceptions of the acceptability, barriers, and facilitators to sleep screenings and referrals. RESULTS: Of 34 BCS assessed for eligibility, 29 were eligible and had sleep problems. Only eight of 29 participants (27.6%) completed the sleep referral process. Most thought the screening and referral process was acceptable. However, BCS identified barriers to completing the referral visit, including time, not seeing the need for treatment, insurance/sick leave concerns, and distance/transportation. CONCLUSION: Adequate evaluation and treatment of sleep disorders in BCS are rare. Creative solutions to address barriers to timely sleep referrals are needed to reduce long-term negative consequences of inadequate sleep.

Hypnosis Intervention for Sleep Disturbance: Determination of Optimal Dose and Method of Delivery for Postmenopausal Women.

Sleep disturbances are a pervasive problem among postmenopausal women, with an estimated 40 to 64% reporting poor sleep. Hypnosis is a promising intervention for sleep disturbances. This study examined optimal dose and delivery for a manualized hypnosis intervention to improve sleep. Ninety postmenopausal women with poor sleep were randomized to 1 of 4 interventions: 5 in-person, 3 in-person, 5 phone, or 3 phone contacts. All received hypnosis audio recordings, with instructions for daily practice for 5 weeks. Feasibility measures included treatment satisfaction ratings and practice adherence. Sleep outcomes were sleep quality, objective and subjective duration, and bothersomeness of poor sleep. Results showed high treatment satisfaction, adherence, and clinically meaningful (≥ 0.5 SD) sleep improvement for all groups. Sleep quality significantly improved, p < .05, η2 = .70, with no significant differences between groups, with similar results for the other sleep outcomes across all treatment arms. Comparable results between phone and in-person groups suggest that a unique "dose" and delivery strategy is highly feasible and can have clinically meaningful impact. This study provides pilot evidence that an innovative hypnosis intervention for sleep (5 phone contacts with home practice) reduces the burden on participants while achieving maximum treatment benefit.

Solving School's Survey Request Overload.

Limited information is available on strategies for managing the large number of survey requests that reach an individual nursing school. This article addresses problems identified in managing survey requests and describes the implementation and evaluation of a solution. Identified problems included the appearance of endorsing studies of varying quality and rigor, overlap and competition between external study requests and internal studies, respondent burden, and level of anonymity and confidentiality. The solution included a school-wide policy for tracking and vetting study requests before they were distributed. Evaluation data show the number of requests received (total, by month and source, by target population), their disposition (withdrawn, approved, not approved for distribution), and quality improvement data on meeting a 30-day target turnaround time. Additional considerations are also discussed.

Self-Hypnosis for Sleep Disturbances in Menopausal Women.

Poor sleep is one of the most frequent health concerns among menopausal women. All stages of sleep can be impacted by the menopause transition. Negative outcomes of poor sleep are multidimensional and include poor physical, psychological, cognition, and social outcomes. Hypnosis is a nonpharmacological treatment for poor sleep and hot flashes in menopausal women. The goal of hypnosis is to educate and train subjects to perform self-hypnosis to alleviate the underlying symptom. The use of hypnosis as a treatment for poor sleep has shown benefits for both acute and chronic insomnia. Initial findings from the National Center for Complementary and Integrative Health (NCCIH) Hypnosis Intervention for Sleep in Menopause: Examination of Optimal Dose and Method of Delivery randomized control trial of 90 women were presented. Results showed that program and treatment satisfaction were high in all groups, adherence to daily practice met or exceeded adherence benchmarks. There were significant reduction of poor sleep quality in all groups with a significant increase in minutes slept in all groups. The majority of women also showed clinical improvements of duration. There were clinically meaningful improvements in reducing the perception of poor sleep quality in 50%-77% of women across time. Overall, the use of self-hypnosis as a treatment program for sleep problems related to menopause was acceptable for women. Data further support that hypnosis is a promising technique to improve sleep in menopausal women with sleep and hot flashes. Further research is ongoing on self-hypnosis delivery and implementation into wider populations of women using clear definition and control groups.

The association between cancer care coordination and quality of life is stronger for breast cancer patients with lower health literacy: A Greater Plains Collaborative study.

PURPOSE: Health literacy (HL) and cancer care coordination (CCC) were examined for their relationship to quality of life (QOL) among breast cancer survivors. CCC was hypothesized to have a stronger relationship to QOL for women with lower HL. METHODS: Women (N = 1138) who had completed treatment for Stage 0-III, ductal carcinoma breast cancer between January 2013 and May 2014 at one of eight large medical centers responded to a mailed questionnaire. Responses to questions about survivorship care planning and presence of professional care coordinator were combined to form an index of CCC. An index of HL was also derived. QOL was measured using the Functional Assessment of Cancer Therapy-Breast (FACT-B) scales. RESULTS: 74.3% (N = 845) of patients reported having a health professional coordinate their care during treatment and 78.8% (N = 897) reported receiving survivorship care planning. CCC was classified as none, partial, or high for 7.1%, 32.7%, and 60.2% of the patients, respectively. Except for emotional well-being, the interaction between HL and CCC was significant for all QOL domains (p < .05); the effect of CCC on FACT-B scores was largest for people with lower HL. For the 39.8% of patients with less than high CCC, 111 (27.3%) had a level of HL associated with clinically meaningful lower QOL. CONCLUSIONS: The association between CCC and later QOL is strongest for people who have lower HL. Prioritizing care coordination for patients with lower health literacy may be an effective strategy in a setting of limited resources.

Impact of Diabetes on the Symptoms of Breast Cancer Survivors.

OBJECTIVES: To examine the impact of diabetes on the symptoms of women with breast cancer. SAMPLE & SETTING: 121 women with breast cancer who self-identified as having a diabetes diagnosis and 1,006 women with breast cancer without diabetes from 97 sites across the United States. METHODS & VARIABLES: Symptom scores for depression, anxiety, sexual function, peripheral neuropathy, physical function, attention function, sleep disturbance, and fatigue were compared between women with breast cancer and diabetes and women with breast cancer without diabetes, controlling for age, education, income, marital status, and body mass index (BMI). RESULTS: Women with breast cancer and diabetes who were three to eight years postdiagnosis reported poorer physical and attention function, more sleep disturbance, and greater fatigue than women with breast cancer without diabetes. Age, education, income, and BMI were independent predictors of symptoms experienced by women with breast cancer. IMPLICATIONS FOR NURSING: Oncology nurses can assess and monitor women with breast cancer and diabetes for increased post-treatment sequelae. If problematic symptoms are identified, implementing treatment plans can decrease symptom burden and increase quality of life for women with breast cancer and diabetes.

Confirmatory factor analysis of the Insomnia Severity Index (ISI) and invariance across race: a pooled analysis of MsFLASH data.

OBJECTIVE: Women's sleep at menopause is widely reported to be problematic. The Insomnia Severity Index (ISI) is a commonly used tool for quantifying sleep problems in clinical and research settings, but psychometric properties in postmenopausal women have not been reported. Our study aim was to examine the factor structure of the ISI in a large and diverse sample of midlife women with hot flashes. METHODS: Baseline data were from 899 women enrolled in one of the three clinical trials using similar entry criteria conducted by the Menopause Strategies Finding Lasting Answers to Symptoms and Health research network. We conducted confirmatory factor analyses for the total sample and within strata defined by race/ethnicity (black and white women). RESULTS: The ISI had two factors in the total sample. The two-factor structure was consistent across black and white women, with the exception of one item "difficulty falling asleep." CONCLUSIONS: The ISI in midlife women with hot flashes is composed of two factors that capture dimensions of the insomnia severity and daytime impact. The instrument is a psychometrically sound scale appropriate for use in research and clinical practice to capture the severity and daytime impact of insomnia symptoms in diverse samples of midlife women with hot flashes. An abbreviated screening of two items could be considered to determine if further evaluation is needed of sleep complaints.

Agenda for Sleep Research in Older Adults With Cancer: A Conference Report.

BACKGROUND: Sleep problems are common but often neglected in older adults, particularly in the context of cancer. Underlying mechanisms are poorly understood and interventions frequently lack a clear scientific basis. OBJECTIVE: The objective of this report was to examine scientific content presented at a National Institutes of Health-sponsored U13 "Bedside to Bench" conference using a qualitative and iterative review procedure. Analysis of current scientific issues regarding sleep in older adults with cancer is needed to direct nurse scientists and clinicians toward research opportunities. METHODS: A multistep review procedure for the analysis/synthesis of knowledge gaps and research opportunities was undertaken by oncology nurse scientists in attendance. RESULTS: Conceptual problems in this area include the lack of standard sleep terminology and absence of an overarching conceptual model. Methodological problems are inconsistent sleep/napping measurement and complex operational challenges in designing comprehensive yet feasible studies in older adults. Knowledge gaps in basic and clinical science relate to cellular and molecular mechanisms that underlie sleep and circadian rhythm disturbances, contribution of sleep to adverse outcomes, and impact of disturbed sleep during hospitalization and the transition from hospital to home. CONCLUSIONS: Focused and interdisciplinary research that advances conceptual and operational understanding of biological and behavioral determinants of sleep health in the aging cancer population can lead to more effective, safe, and targeted interventions for those with cancer-related sleep-circadian disturbances. IMPLICATIONS FOR PRACTICE: Research that addresses current conceptual, methodological, and physiological issues can lead to more effective, safe, and targeted care for older adults with cancer-related sleep-circadian disturbances.

Effects of Pharmacologic and Nonpharmacologic Interventions on Insomnia Symptoms and Self-reported Sleep Quality in Women With Hot Flashes: A Pooled Analysis of Individual Participant Data From Four MsFLASH Trials.

Study Objectives: The Menopause Strategies: Finding Lasting Answers for Symptoms and Health network conducted three randomized clinical trials (RCTs) testing six interventions treating vasomotor symptoms (VMS), and also collected self-reported sleep outcomes. A fourth RCT assessed an intervention for insomnia symptoms among women with VMS. We describe these seven interventions' effects relative to control in women with comparably severe insomnia symptoms and VMS. Methods: We analyzed pooled individual-level data from 546 peri- and postmenopausal women with Insomnia Severity Index (ISI) ≥ 12, and ≥14 bothersome VMS/week across the four RCTs. Interventions included the following: escitalopram 10-20 mg/day; yoga; aerobic exercise; 1.8 g/day omega-3 fatty acids; oral 17-beta-estradiol 0.5-mg/day; venlafaxine XR 75-mg/day; and cognitive behavioral therapy for insomnia (CBT-I). Outcome measures were ISI and Pittsburgh Sleep Quality Index (PSQI) over 8-12 weeks of treatment. Results: CBT-I produced the greatest reduction in ISI from baseline relative to control at -5.2 points (95% CI -7.0 to -3.4). Effects on ISI were similar for exercise at -2.1 and venlafaxine at -2.3 points. Comparably small decreases in ISI were observed with escitalopram, yoga, and estradiol. The largest reduction in PSQI from baseline was with CBT-I at -2.7 points (-3.9 to -1.5), although PSQI decreases of 1.2 to 1.6 points were significantly better than control with escitalopram, exercise, yoga, estradiol, and venlafaxine. Omega-3 supplements did not improve insomnia symptoms. Conclusions: This study's findings support current recommendations for CBT-I as a first line treatment in healthy midlife women with insomnia symptoms and moderately bothersome VMS.

Oral Endocrine Therapy Nonadherence, Adverse Effects, Decisional Support, and Decisional Needs in Women With Breast Cancer.

BACKGROUND: Oral endocrine therapy (OET) such as tamoxifen or aromatase inhibitors reduces recurrence and mortality for the 75% of breast cancer survivors (BCSs) with a diagnosis of estrogen receptor-positive breast cancer. Because many BCSs decide not take OET as recommended because of adverse effects, understanding BCSs' decisional supports and needs is foundational to supporting quality OET decision making about whether to adhere to OET. OBJECTIVE: The aim of this study was to examine literature pertaining to OET nonadherence and adverse effects using the Ottawa Decision Support Framework categories of decisional supports and decisional needs because these factors potentially influence OET use. METHODS: A systematic literature search was performed in PubMed and CINAHL using combined search terms "aromatase inhibitors and adherence" and "tamoxifen and adherence." Studies that did not meet criteria were excluded. Relevant data from 25 publications were extracted into tables and reviewed by 2 authors. RESULTS: Findings identified the impact of adverse effects on OET nonadherence, an absence of decisional supports provided to or available for BCSs who are experiencing OET adverse effects, and the likelihood of unmet decisional needs related to OET. CONCLUSIONS: Adverse effects contribute to BCSs decisions to stop OET, yet there has been little investigation of the process through which that occurs. This review serves as a call to action for providers to provide support to BCSs experiencing OET adverse effects and facing decisions related to nonadherence. IMPLICATIONS FOR PRACTICE: Findings suggest BCSs prescribed OET have unmet decisional needs, and more decisional supports are needed for BCSs experiencing OET adverse effects.

Preferences and actual chemotherapy decision-making in the greater plains collaborative breast cancer study.

INTRODUCTION: There is renewed interest in identifying breast cancer patients' participation in decision-making about adjuvant chemotherapy. There is a gap in the literature regarding the impact of these decisions on quality of life (QOL) and quality of care (QOC). Our aims were to determine similarities and differences in how patients diagnosed with breast cancer preferred to make decisions with providers about cancer treatment, to examine the patient's recall of her role when the decision was made about chemotherapy and to determine how preferred and actual roles, as well as congruence between them, relate to QOL and perceived QOC. MATERIAL AND METHODS: Greater Plains Collaborative clinical data research network of PCORnet conducted the 'Share Thoughts on Breast Cancer' survey among women 12-18 months post-diagnosis at eight sites in seven Midwestern United States. Patients recalled their preferred and actual treatment decision-making roles and three new shared decision-making (SDM) variables were created. Patients completed QOL and QOC measurements. Correlations and t-tests were used. RESULTS: Of 1235 returned surveys, 873 (full sample) and 329 (subsample who received chemotherapy) were used. About one-half of women in both the full (50.7%) and subsample (49.8%,) preferred SDM with providers about treatment decisions, but only 41.2% (full) and 42.6% (subsample) reported experiencing SDM. Significant differences were found between preferred versus actual roles in the full (p < .001) and subsample (p < .004). In the full sample, there were no relationships between five decision-making variables with QOL, but there was an association with QOC. The subsample's decision-making variables related to several QOL scales and QOC items, with a more patient-centered decision than originally preferred related to higher physical and social/family well-being, overall QOL and QOC. CONCLUSIONS: Patients benefit from providers' efforts to identify patient preferences, encourage an active role in SDM, and tailor decision making to their desired choice.

Validity, cut-points, and minimally important differences for two hot flash-related daily interference scales.

OBJECTIVES: To conduct psychometric analyses to condense the Hot Flash-Related Daily Interference Scale (HFRDIS) into a shorter form termed the Hot Flash Interference (HFI) scale; evaluate cut-points for both scales; and establish minimally important differences (MIDs) for both scales. METHODS: We analyzed baseline and postrandomization patient-reported data pooled across three randomized trials aimed at reducing vasomotor symptoms (VMS) in 899 midlife women. Trials were conducted across five MsFLASH clinical sites between July 2009 and October 2012. We eliminated HFRDIS items based on experts' content validity ratings and confirmatory factor analysis, and evaluated cut-points and established MIDs by mapping HFRDIS and HFI to other measures. RESULTS: The three-item HFI (interference with sleep, mood, and concentration) demonstrated strong internal consistency (alphas of 0.830 and 0.856), showed good fit to the unidimensional "hot flash interference factor," and strong convergent validity with HFRDIS scores, diary VMS, and menopausal quality of life. For both scales, cut-points of mild (0-3.9), moderate (4-6.9), and severe (7-10) interference were associated with increasing diary VMS ratings, sleep, and anxiety. The average MID was 1.66 for the HFRDIS and 2.34 for the HFI. CONCLUSIONS: The HFI is a brief assessment of VMS interference and will be useful in busy clinics to standardize VMS assessment or in research studies where response burden may be an issue. The scale cut-points and MIDs should prove useful in targeting those most in need of treatment, monitoring treatment response, and interpreting existing and future research findings.

Prospective assessment of patient-reported outcomes and estradiol and drug concentrations in patients experiencing toxicity from adjuvant aromatase inhibitors.

PURPOSE: Aromatase inhibitors (AI), which decrease circulating estradiol concentrations in post-menopausal women, are associated with toxicities that limit adherence. Approximately one-third of patients will tolerate a different AI after not tolerating the first. We report the effect of crossover from exemestane to letrozole or vice versa on patient-reported outcomes (PROs) and whether the success of crossover is due to lack of estrogen suppression. METHODS: Post-menopausal women enrolled on a prospective trial initiating AI therapy for early-stage breast cancer were randomized to exemestane or letrozole. Those that discontinued for intolerance were offered protocol-directed crossover to the other AI after a washout period. Changes in PROs, including pain [Visual Analog Scale (VAS)] and functional status [Health Assessment Questionnaire (HAQ)], were compared after 3 months on the first versus the second AI. Estradiol and drug concentrations were measured. RESULTS: Eighty-three patients participated in the crossover protocol, of whom 91.3% reported improvement in symptoms prior to starting the second AI. Functional status worsened less after 3 months with the second AI (HAQ mean change AI #1: 0.2 [SD 0.41] vs. AI #2: -0.05 [SD 0.36]; p = 0.001); change in pain scores was similar between the first and second AI (VAS mean change AI #1: 0.8 [SD 2.7] vs. AI #2: -0.2 [SD 2.8]; p = 0.19). No statistical differences in estradiol or drug concentrations were found between those that continued or discontinued AI after crossover. CONCLUSIONS: Although all AIs act via the same mechanism, a subset of patients intolerant to one AI report improved PROs with a different one. The mechanism of this tolerance remains unknown, but does not appear to be due to non-adherence to, or insufficient estrogen suppression by, the second AI.

Menopause and big data: Word Adjacency Graph modeling of menopause-related ChaCha data.

OBJECTIVE: To detect and visualize salient queries about menopause using Big Data from ChaCha. METHODS: We used Word Adjacency Graph (WAG) modeling to detect clusters and visualize the range of menopause-related topics and their mutual proximity. The subset of relevant queries was fully modeled. We split each query into token words (ie, meaningful words and phrases) and removed stopwords (ie, not meaningful functional words). The remaining words were considered in sequence to build summary tables of words and two and three-word phrases. Phrases occurring at least 10 times were used to build a network graph model that was iteratively refined by observing and removing clusters of unrelated content. RESULTS: We identified two menopause-related subsets of queries by searching for questions containing menopause and menopause-related terms (eg, climacteric, hot flashes, night sweats, hormone replacement). The first contained 263,363 queries from individuals aged 13 and older and the second contained 5,892 queries from women aged 40 to 62 years. In the first set, we identified 12 topic clusters: 6 relevant to menopause and 6 less relevant. In the second set, we identified 15 topic clusters: 11 relevant to menopause and 4 less relevant. Queries about hormones were pervasive within both WAG models. Many of the queries reflected low literacy levels and/or feelings of embarrassment. CONCLUSIONS: We modeled menopause-related queries posed by ChaCha users between 2009 and 2012. ChaCha data may be used on its own or in combination with other Big Data sources to identify patient-driven educational needs and create patient-centered interventions.

Word Adjacency Graph Modeling: Separating Signal From Noise in Big Data.

There is a need to develop methods to analyze Big Data to inform patient-centered interventions for better health outcomes. The purpose of this study was to develop and test a method to explore Big Data to describe salient health concerns of people with epilepsy. Specifically, we used Word Adjacency Graph modeling to explore a data set containing 1.9 billion anonymous text queries submitted to the ChaCha question and answer service to (a) detect clusters of epilepsy-related topics, and (b) visualize the range of epilepsy-related topics and their mutual proximity to uncover the breadth and depth of particular topics and groups of users. Applied to a large, complex data set, this method successfully identified clusters of epilepsy-related topics while allowing for separation of potentially non-relevant topics. The method can be used to identify patient-driven research questions from large social media data sets and results can inform the development of patient-centered interventions.