ABSTRACT
PURPOSE: The aim of this study was to report trends in keratoplasty techniques and indications in the United States from 2015 to 2020. METHODS: This retrospective review of annual reports from the Eye Bank Association of America assessed domestic corneal graft distribution and surgical indication data for various types of keratoplasty. Trends in procedure volume and indications from 2015 to 2020 were analyzed using the Cochran-Armitage test. RESULTS: The total number of corneal transplants increased from 47,903 in 2015 to 49,143 in 2019, with a decline to 42,257 in 2020, most likely due to COVID-19. Penetrating keratoplasty (PK) volume decreased from 2015 to 2020 (19,160-15,402, 40% to 36.4%, P < 0.001), continuing a trend from the previous decade. Descemet membrane endothelial keratoplasty as a percentage of all keratoplasty procedures increased (9.8%-27.8%, P < 0.001), whereas Descemet stripping automated endothelial keratoplasty (47%-33.9%, P < 0.001) and anterior lamellar keratoplasty (ALK) decreased (2.3%-1.2%, P < 0.001).From 2017 to 2020, repeat corneal transplant was the most common specific indication for PK while ectasias/thinnings decreased in prevalence (15.6%-11.5%, P < 0.001). Ectasias/thinnings and endothelial dystrophy remained the leading indications for ALK and endothelial keratoplasty, respectively. CONCLUSIONS: From 2015 to 2020, keratoplasty trends in the United States showed a continuation of the decrease in PK and increase in Descemet membrane endothelial keratoplasty observed in the previous decade. The most common domestic indications from 2017 to 2020 have been repeat corneal graft, endothelial dystrophy, and ectasias/thinnings for PK, EK, and ALK, respectively.
ABSTRACT
[This corrects the article DOI: 10.3389/fpubh.2021.625640.].
ABSTRACT
Background: The current COVID-19 coronavirus pandemic is an emergency on a global scale, with huge swathes of the population required to remain indoors for prolonged periods to tackle the virus. In this new context, individuals' health-promoting routines are under greater strain, contributing to poorer mental and physical health. Additionally, individuals are required to keep up to date with latest health guidelines about the virus, which may be confusing in an age of social-media disinformation and shifting guidelines. To tackle these factors, we developed Elena+, a smartphone-based and conversational agent (CA) delivered pandemic lifestyle care intervention. Methods: Elena+ utilizes varied intervention components to deliver a psychoeducation-focused coaching program on the topics of: COVID-19 information, physical activity, mental health (anxiety, loneliness, mental resources), sleep and diet and nutrition. Over 43 subtopics, a CA guides individuals through content and tracks progress over time, such as changes in health outcome assessments per topic, alongside user-set behavioral intentions and user-reported actual behaviors. Ratings of the usage experience, social demographics and the user profile are also captured. Elena+ is available for public download on iOS and Android devices in English, European Spanish and Latin American Spanish with future languages and launch countries planned, and no limits on planned recruitment. Panel data methods will be used to track user progress over time in subsequent analyses. The Elena+ intervention is open-source under the Apache 2 license (MobileCoach software) and the Creative Commons 4.0 license CC BY-NC-SA (intervention logic and content), allowing future collaborations; such as cultural adaptions, integration of new sensor-related features or the development of new topics. Discussion: Digital health applications offer a low-cost and scalable route to meet challenges to public health. As Elena+ was developed by an international and interdisciplinary team in a short time frame to meet the COVID-19 pandemic, empirical data are required to discern how effective such solutions can be in meeting real world, emergent health crises. Additionally, clustering Elena+ users based on characteristics and usage behaviors could help public health practitioners understand how population-level digital health interventions can reach at-risk and sub-populations.