Understanding the use of digital technologies to provide disability services remotely during the COVID-19 pandemic; a multiple case study design.

BACKGROUND: Using digital technologies to provide services and supports remotely may improve efficiency and accessibility of healthcare, and support people with disabilities to live independently. This study aimed to explore the experience of using digital technologies to access and provide disability services and supports during the Covid-19 pandemic, from the perspective of people with disabilities, families and service providers. METHODS: Using a multiple case study design, we purposively sampled three cases based on service user characteristics and geographical reach of the service. We conducted semi-structured interviews with 40 service users and service providers. Topic guides and analysis were informed by the Consolidated Framework for Implementation Research (CFIR). Analysis followed a largely deductive approach, using the CFIR constructs as a coding framework. A summary memo was developed for each case. Influence and strength of each construct was rated to identify constructs that influenced implementation of digital technologies. Ratings were compared across services to identify facilitators and barriers to implementation. RESULTS: Service users and providers were positive about using digital technologies to access and provide disability services and supports remotely. Advantages over in-person delivery included reduced travel time, increased opportunity for peer support and peer learning, more choice and opportunity to participate in activities, and an enhanced sense of self while accessing services from the secure environment of their home. The urgency to identify new modes of service delivery to meet the needs of service users during Covid-19 was a strong facilitator but did not necessarily result in successful implementation. Other factors that were strong facilitators were the use of adaptations to enable service users to access the online service, service users' willingness to try the online service, service users' persistence when they encountered challenges, and the significant time and effort that service providers made to support service users to participate in the online service. Barriers to implementation included the complexity of accessing online platforms, poor design quality of online platforms, and organisations prioritising in-person delivery over online services. CONCLUSIONS: These findings may allow service providers to leverage facilitators that support implementation of online disability services and supports.

Prenatal exome sequencing in anomalous fetuses: new opportunities and challenges.

PurposeWe investigated the diagnostic and clinical performance of exome sequencing in fetuses with sonographic abnormalities with normal karyotype and microarray and, in some cases, normal gene-specific sequencing.MethodsExome sequencing was performed on DNA from 15 anomalous fetuses and from the peripheral blood of their parents. Parents provided consent to be informed of diagnostic results in the fetus, medically actionable findings in the parents, and their identification as carrier couples for significant autosomal recessive conditions. We assessed the perceptions and understanding of exome sequencing using mixed methods in 15 mother-father dyads.ResultsIn seven (47%) of 15 fetuses, exome sequencing provided a diagnosis or possible diagnosis with identification of variants in the following genes: COL1A1, MUSK, KCTD1, RTTN, TMEM67, PIEZO1 and DYNC2H1. One additional case revealed a de novo nonsense mutation in a novel candidate gene (MAP4K4). The perceived likelihood that exome sequencing would explain the results (5.2 on a 10-point scale) was higher than the approximately 30% diagnostic yield discussed in pretest counseling.ConclusionExome sequencing had diagnostic utility in a highly select population of fetuses where a genetic diagnosis was highly suspected. Challenges related to genetics literacy and variant interpretation must be addressed by highly tailored pre- and posttest genetic counseling.

ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data.

Understanding cellular metabolism is important across biotechnology and biomedical research and has critical implications in a broad range of normal and pathological conditions. Here, we introduce the user-friendly web-based platform ImmCellFie, which allows the comprehensive analysis of metabolic functions inferred from transcriptomic or proteomic data. We explain how to set up a run using publicly available omics data and how to visualize the results. The ImmCellFie algorithm pushes beyond conventional statistical enrichment and incorporates complex biological mechanisms to quantify cell activity. For complete details on the use and execution of this protocol, please refer to Richelle et al. (2021).1.