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Transplant Infectious Disease ; n/a(n/a), 2021.
Article in English | Wiley | ID: covidwho-1411012


Abstract Background Solid organ transplant recipients (SOTRs) are at increased risk for adverse outcomes with COVID-19. Early data shows a lower SARS-CoV-2 spike antibody immune response among SOTRs leading to patient concerns about vaccine efficacy. Public health messaging has largely left out immunocompromised individuals leading to a higher risk of vaccine misinformation. The American Society of Transplantation recommends COVID-19 vaccination for all SOTRs, however, patient concerns and beliefs about vaccination are largely unknown. Methods We conducted a transplant-center-based, pragmatic pilot trial to encourage COVID-19 vaccination among 103 unvaccinated SOTRs. We assessed vaccine concerns, barriers to vaccination, answered questions about efficacy, side effects, and clinical recommendations. Results A total of 24% (n = 25) of SOTRs reported that they will schedule COVID-19 vaccination after the study call, 46% reported that they will consider vaccination in the future, and 30% said they will not consider vaccination. Older age and White race were associated with lower willingness to schedule the vaccine, whereas Black race and longer time from transplant were associated with higher willingness. Common vaccine concerns included lack of long-term data, inconsistent messaging from providers, scheduling inconvenience, and insufficient resources. Follow-up approximately one month after the initial outreach found 52% (n = 13) of liver transplant recipients (LTRs) and 10% (n = 3) of kidney transplant recipients (KTRs) subsequently received COVID-19 vaccines for a vaccination rate of 29% among respondents. Conclusion Transplant center-based vaccine outreach efforts can decrease misinformation and increase vaccination uptake;however, vaccine-related mistrust remains high. This article is protected by copyright. All rights reserved

Am J Gastroenterol ; 116(6): 1345-1349, 2021 06 01.
Article in English | MEDLINE | ID: covidwho-1194822


INTRODUCTION: To assess beliefs about safety, effectiveness, and delivery of the coronavirus disease 2019 (COVID-19) vaccine among chronic Gastroenterology and Hepatology patients at an academic health system. METHODS: We asked about vaccine beliefs, vaccine concerns, and preferred location to receive the COVID-19 vaccine. RESULTS: A total of 1,215 patients responded (response rate: 37%). Most patients believed that vaccines are safe, effective, and that they would take the COVID-19 vaccine at a medical office or pharmacy. However, we identified important sociodemographic factors associated with vaccine hesitancy. DISCUSSION: Patients have high level of trust in the COVID-19 vaccine and are likely to follow their specialist physician recommendations.

COVID-19 Vaccines/administration & dosage , COVID-19/prevention & control , Health Knowledge, Attitudes, Practice , Vaccination/psychology , Adult , Aged , COVID-19/epidemiology , COVID-19/immunology , COVID-19/virology , COVID-19 Vaccines/adverse effects , Chronic Disease , Female , Gastroenterology/statistics & numerical data , Humans , Male , Middle Aged , SARS-CoV-2/immunology , Socioeconomic Factors , Surveys and Questionnaires/statistics & numerical data , Vaccination/adverse effects , Vaccination/statistics & numerical data
J Med Internet Res ; 22(12): e22493, 2020 12 03.
Article in English | MEDLINE | ID: covidwho-1186721


BACKGROUND: Automated texting platforms have emerged as a tool to facilitate communication between patients and health care providers with variable effects on achieving target blood pressure (BP). Understanding differences in the way patients interact with these communication platforms can inform their use and design for hypertension management. OBJECTIVE: Our primary aim was to explore the unique phenotypes of patient interactions with an automated text messaging platform for BP monitoring. Our secondary aim was to estimate associations between interaction phenotypes and BP control. METHODS: This study was a secondary analysis of data from a randomized controlled trial for adults with poorly controlled hypertension. A total of 201 patients with established primary care were assigned to the automated texting platform; messages exchanged throughout the 4-month program were analyzed. We used the k-means clustering algorithm to characterize two different interaction phenotypes: program conformity and engagement style. First, we identified unique clusters signifying differences in program conformity based on the frequency over time of error alerts, which were generated to patients when they deviated from the requested text message format (eg, ###/## for BP). Second, we explored overall engagement styles, defined by error alerts and responsiveness to text prompts, unprompted messages, and word count averages. Finally, we applied the chi-square test to identify associations between each interaction phenotype and achieving the target BP. RESULTS: We observed 3 categories of program conformity based on their frequency of error alerts: those who immediately and consistently submitted texts without system errors (perfect users, 51/201), those who did so after an initial learning period (adaptive users, 66/201), and those who consistently submitted messages generating errors to the platform (nonadaptive users, 38/201). Next, we observed 3 categories of engagement style: the enthusiast, who tended to submit unprompted messages with high word counts (17/155); the student, who inconsistently engaged (35/155); and the minimalist, who engaged only when prompted (103/155). Of all 6 phenotypes, we observed a statistically significant association between patients demonstrating the minimalist communication style (high adherence, few unprompted messages, limited information sharing) and achieving target BP (P<.001). CONCLUSIONS: We identified unique interaction phenotypes among patients engaging with an automated text message platform for remote BP monitoring. Only the minimalist communication style was associated with achieving target BP. Identifying and understanding interaction phenotypes may be useful for tailoring future automated texting interactions and designing future interventions to achieve better BP control.

Blood Pressure/physiology , Hypertension/therapy , Monitoring, Physiologic/methods , Text Messaging/standards , Adolescent , Adult , Aged , Female , Humans , Male , Middle Aged , Phenotype , Young Adult