Dataset Information

Reflections on project ECHO: qualitative findings from five different ECHO programs.

ABSTRACT: Project ECHO (Extension for Community Healthcare Outcomes) was developed in 2003 as an innovative model to facilitate continuing education and professional development. ECHO emphasizes 'moving knowledge, not people.' To accomplish this, ECHO programs use virtual collaboration and case-based learning to allow practitioners, including those in rural and underserved areas, to receive specialist training. The ECHO model has expanded rapidly and is now used in 44 countries. Preliminary research on ECHO's efficacy and effectiveness has shown promising results, but evidence remains limited and appropriate research outcomes have not been clearly defined. To improve the evidence basis for ECHO, this study of 5 ECHO programs (cancer prevention/survivorship, integrated pain management, hepatitis C, HIV, and LGBTQ+ health care elucidated actionable insights about the ECHO programs and directions in which future evaluations and research might progress. This was a qualitative study following COREQ standards. A trained interviewer conducted 10 interviews and 5 focus groups with 25 unique, purposively sampled ECHO attendees (2 interviews and 1 focus group for each of the 5 programs). Data were transcribed verbatim and analyzed using the general inductive approach, then reviewed for reliability. We identified four major categories (reasons to join ECHO, value of participating in ECHO, ways to improve ECHO, and barriers to participation) composed of 23 primary codes. We suggest that thematic saturation was achieved, and a coherent narrative about ECHO emerged for discussion. Participants frequently indicated they received valuable learning experiences and thereby changed their practice; rigorous trials of learning and patient-level outcomes are warranted. This study also found support for the idea that the ECHO model should be studied for its role in convening communities of practice and reducing provider isolation as an outcome in itself. Additional implications, including for interprofessional education and model evolution, were also identified and discussed.

SUBMITTER: Agley J

PROVIDER: S-EPMC8174483 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:IntroductionIn the US, many individuals with diabetes do not have consistent access to endocrinologists and therefore rely on primary care providers (PCPs) for their diabetes management. Project ECHO (Extension for Community Healthcare Outcomes) Diabetes, a tele-education model, was developed to empower PCPs to independently manage diabetes, including education on diabetes technology initiation and use, to bridge disparities in diabetes.MethodsPCPs (n=116) who participated in Project ECHO Diabetes and completed pre- and post-intervention surveys were included in this analysis. The survey was administered in California and Florida to participating PCPs via REDCap and paper surveys. This survey aimed to evaluate practice demographics, protocols with adult and pediatric T1D management, challenges, resources, and provider knowledge and confidence in diabetes management. Differences and statistical significance in pre- and post-intervention responses were evaluated via McNemar's tests.ResultsPCPs reported improvement in all domains of diabetes education and management. From baseline, PCPs reported improvement in their confidence to serve as the T1D provider for their community (pre vs post: 43.8% vs 68.8%, p=0.005), manage insulin therapy (pre vs post: 62.8% vs 84.3%, p=0.002), and identify symptoms of diabetes distress (pre vs post: 62.8% vs 84.3%, p=0.002) post-intervention. Compared to pre-intervention, providers reported significant improvement in their confidence in all aspects of diabetes technology including prescribing technology (41.2% vs 68.6%, p=0.001), managing insulin pumps (41.2% vs 68.6%, p=0.001) and hybrid closed loop (10.2% vs 26.5%, p=0.033), and interpreting sensor data (41.2% vs 68.6%, p=0.001) post-intervention.DiscussionPCPs who participated in Project ECHO Diabetes reported increased confidence in diabetes management, with notable improvement in their ability to prescribe, manage, and troubleshoot diabetes technology. These data support the use of tele-education of PCPs to increase confidence in diabetes technology management as a feasible strategy to advance equity in diabetes management and outcomes.

Project description:BackgroundThis project sought to expand patient and public involvement (PPI) practices to the development of research finding dissemination with people aged 55+ years. The project is innovative due to its UK-wide approach and use of PPI to plan better ways to share findings of health research with older adults, extending PPI beyond research project initiation to support dissemination activities.ObjectiveThe aim of this study is to understand how to develop effective public engagement activities with older adults to disseminate findings of health research. We hope to promote greater inclusivity and advance our understanding of this demographic.MethodsThis project combined three approaches: (i) an online questionnaire to ask what activities older adults enjoy; (ii) online planning workshops seeking public contributors' input in event planning and (iii) community events to share research findings and raise awareness of PPI. Activities were carried out in Cardiff, Belfast, Glasgow and Tewkesbury.ResultsThe planning workshops clarified that in-person activities and offering options for activities were important. Based on feedback from our contributors, all our events focused around a talk and question and answer session. Other short activities included light exercise and a writing activity.DiscussionOur multiphase approach helped us develop informative activities that reflected the questionnaire results and the feedback from the workshops, as we tailored our events to each location. A phased approach allowed both researchers and contributors to gradually deepen their understanding.ConclusionFurther awareness raising is needed to develop the role older adults currently hold in health research activities. Working closely with existing communities can help broaden diversity.Patient or public contributionThirty-three public contributors helped facilitate this project. Two of these also contributed to this article by writing a reflection of their experiences, one of whom also provided feedback for the article.

Project description:BackgroundAutism spectrum disorder (autism) is a complex neurodevelopmental condition with pronounced behavioral, cognitive, and neural heterogeneities across individuals. Here, our goal was to characterize heterogeneity in autism by identifying patterns of neural diversity as reflected in BOLD fMRI in the way individuals with autism engage with a varied array of cognitive tasks.MethodsAll analyses were based on the EU-AIMS/AIMS-2-TRIALS multisite Longitudinal European Autism Project (LEAP) with participants with autism (n = 282) and typically developing (TD) controls (n = 221) between 6 and 30 years of age. We employed a novel task potency approach which combines the unique aspects of both resting state fMRI and task-fMRI to quantify task-induced variations in the functional connectome. Normative modelling was used to map atypicality of features on an individual basis with respect to their distribution in neurotypical control participants. We applied robust out-of-sample canonical correlation analysis (CCA) to relate connectome data to behavioral data.ResultsDeviation from the normative ranges of global functional connectivity was greater for individuals with autism compared to TD in each fMRI task paradigm (all tasks p < 0.001). The similarity across individuals of the deviation pattern was significantly increased in autistic relative to TD individuals (p < 0.002). The CCA identified significant and robust brain-behavior covariation between functional connectivity atypicality and autism-related behavioral features.ConclusionsIndividuals with autism engage with tasks in a globally atypical way, but the particular spatial pattern of this atypicality is nevertheless similar across tasks. Atypicalities in the tasks originate mostly from prefrontal cortex and default mode network regions, but also speech and auditory networks. We show how sophisticated modeling methods such as task potency and normative modeling can be used toward unravelling complex heterogeneous conditions like autism.

Project description:BackgroundAlthough investigations have begun to differentiate biological and neurobiological responses to a variety of adversities, studies considering both endocrine and immune function in the same datasets are limited.MethodsAssociations between proximal (family functioning, caregiver depression, and anxiety) and distal (SES-D; socioeconomic disadvantage) early-life adversities with salivary inflammatory biomarkers (IL-1β, IL-6, IL-8, and TNF-α) and hair HPA markers (cortisol, cortisone, and dehydroepiandrosterone) were examined in two samples of young U.S. children (N = 142; N = 145).ResultsChildren exposed to higher SES-D had higher levels of TNF-α (B = 0.13, p = 0.011), IL-1β (B = 0.10, p = 0.033), and DHEA (B = 0.16, p = 0.011). Higher family dysfunction was associated with higher cortisol (B = 0.08, p = 0.033) and cortisone (B = 0.05, p = 0.003). An interaction between SES-D and family dysfunction was observed for cortisol levels (p = 0.020) whereby children exposed to lower/average levels of SES-D exhibited a positive association between family dysfunction and cortisol levels, whereas children exposed to high levels of SES-D did not. These findings were partially replicated in the second sample.ConclusionsOur results indicate that these biological response systems may react differently to different forms of early-life adversity.ImpactDifferent forms of early-life adversity have varied stress signatures, and investigations of early-life adversities with inflammation and HPA markers are lacking. Children with higher socioeconomic disadvantage had higher TNF-α, IL-1β, and DHEA. Higher family dysfunction was associated with higher hair cortisol and cortisone levels, and the association between family dysfunction and cortisol was moderated by socioeconomic disadvantage. Biological response systems (immune and endocrine) were differentially associated with distinct forms of early-life adversities.

Dataset Information

Reflections on project ECHO: qualitative findings from five different ECHO programs.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets