Development of a patient-centered text message-based platform for the self-management of interstitial cystitis/bladder pain syndrome symptoms.

OBJECTIVE: To develop a patient-centered text message-based platform that promotes self-management of symptoms of interstitial cystitis/bladder pain syndrome (IC/BPS). METHODS: Adult women with IC/BPS interested in initiating a first- or second-line treatments per American Urological Association guidelines (recategorized as "behavioral/non-pharmacologic treatments" and "oral medicines" in the 2022 version) participated in rapid cycle innovation consisting of iterative cycles of contextual inquiry, prototype design and development. We delivered treatment modules and supportive messages using an algorithm-driven interactive messaging prototype through a HIPAA-compliant texting platform. Patients provided feedback through narrative text messages and an exit interview. Feedback was analyzed qualitatively and used to iteratively revise the platform until engagement ≥ 85% and accuracy ≥ 80% were achieved. The final version consisted of four treatment module categories (patient education and behavioral modification, cognitive behavioral therapy, pelvic floor physical therapy, and guided mindfulness practices) and supportive messages delivered through an automated algorithm over 6 weeks. RESULTS: Thirty IC/BPS patients with moderate symptom bother (median IC Problem Index score 9, range 6-12) participated in five cycles of contextual inquiry. Qualitative analysis identified three overarching concepts that informed the development of the platform: preference for patient centered terms, desire to gain self-efficacy in managing symptoms, and need for provider support. Patients preferred the term "interstitial cystitis" to "bladder pain syndrome" which carried the stigma of chronic pain. Patients reported greater self-efficacy in managing symptoms through improved access to mind-body and behavioral treatment modules that helped them to gain insight into their motivations and behaviors. The concept of provider support was informed by shared decision making (patients could choose preferred treatment modules) and reduced sense of isolation (weekly check in messages to check on symptom bother). CONCLUSION: A patient centered text message-based platform may be clinically useful in the self-management of IC/BPS symptoms.

Patient Experience and Satisfaction in Online Reviews of Obstetric Care: Observational Study.

BACKGROUND: The quality of care in labor and delivery is traditionally measured through the Hospital Consumer Assessment of Healthcare Providers and Systems but less is known about the experiences of care reported by patients and caregivers on online sites that are more easily accessed by the public. OBJECTIVE: The aim of this study was to generate insight into the labor and delivery experience using hospital reviews on Yelp. METHODS: We identified all Yelp reviews of US hospitals posted online from May 2005 to March 2017. We used a machine learning tool, latent Dirichlet allocation, to identify 100 topics or themes within these reviews and used Pearson r to identify statistically significant correlations between topics and high (5-star) and low (1-star) ratings. RESULTS: A total of 1569 hospitals listed in the American Hospital Association directory had at least one Yelp posting, contributing a total of 41,095 Yelp reviews. Among those hospitals, 919 (59%) had at least one Yelp rating for labor and delivery services (median of 9 reviews), contributing a total of 6523 labor and delivery reviews. Reviews concentrated among 5-star (n=2643, 41%) and 1-star reviews (n=1934, 30%). Themes strongly associated with favorable ratings included the following: top-notch care (r=0.45, P<.001), describing staff as comforting (r=0.52, P<.001), the delivery experience (r=0.46, P<.001), modern and clean facilities (r=0.44, P<.001), and hospital food (r=0.38, P<.001). Themes strongly correlated with 1-star labor and delivery reviews included complaints to management (r=0.30, P<.001), a lack of agency among patients (r=0.47, P<.001), and issues with discharging from the hospital (r=0.32, P<.001). CONCLUSIONS: Online review content about labor and delivery can provide meaningful information about patient satisfaction and experiences. Narratives from these reviews that are not otherwise captured in traditional surveys can direct efforts to improve the experience of obstetrical care.

Studying social media language changes associated with pregnancy status, trimester, and parity from medical records.

We sought to evaluate whether there was variability in language used on social media across different time points of pregnancy (before, during, and after pregnancy, as well as by trimester and parity). Consenting patients shared access to their individual Facebook posts and electronic medical records. Random forest models trained on Facebook posts could differentiate first trimester of pregnancy from 3 months before pregnancy (F1 score = .63) and from a random 3-month time period (F1 score = .64). Posts during pregnancy were more likely to include themes about family (ß = .22), food craving (ß = .14), and date/times (ß = .13), while posts 3 months prior to pregnancy included themes about social life (ß = .30), sleep (ß = .31), and curse words (ß = .27), and 3 months post-pregnancy included themes of gratitude (ß = .17), health appointments (ß = .21), and religiosity (ß = .18). Users who were pregnant for the first time were more likely to post about lack of sleep (ß = .15), activities of daily living (ß = .09), and communication (ß = .08) compared with those who were pregnant after having a child who posted about others' birthdays (ß = .16) and life events (.12). A better understanding about social media timelines can provide insight into lifestyle choices that are specific to pregnancy.