Real-time data monitoring for ulcerative colitis: patient perception and qualitative analysis

Walsh, Alissa J.; Matini, Lawrence; Hinds, Chris; Sexton, Vanashree; Brain, Oliver; Keshav, Satish; Geddes, John; Goodwin, Guy M.; Collins, Gary S.; Travis, Simon; Peters, Michele

doi:10.5217/ir.2018.00173

Cited by 14 publications

(17 citation statements)

References 41 publications

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“…109 Daily monitoring of UC through TrueColours UC improved UC management while also reducing the burden placed on individual and healthcare services. 110 These applications can not only remotely monitor patients via electronic patient-reported outcome measures (PROs) or device-generated data (such as activity trackers) but also improves patient engagement. 111 The goal of recent IBD therapies is moving toward a therapeutic-targeted strategy using PROs, biomarkers of inflammation, and mucosal healing to optimize therapeutics and should also be used for the treatment of EIMs.…”

Section: Key Recommendations For Improving the Disease Course And Primentioning

confidence: 99%

“…The role of mobile applicable for the self-management of IBD by patients will continue to increase by providing a more efficient, effective, and good quality healthcare system at lower costs [ 109 ]. Daily monitoring of UC through TrueColours UC improved UC management while also reducing the burden placed on individual and healthcare services [ 110 ]. These applications can not only remotely monitor patients via electronic patient-reported outcome measures (PROs) or device-generated data (such as activity trackers) but also improves patient engagement [ 111 ].…”

Section: Key Recommendations For Improving the Disease Course And Primentioning

confidence: 99%

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Pathogenesis and clinical perspectives of extraintestinal manifestations in inflammatory bowel diseases

Cheon

2020

Intest Res

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A considerable number of patients with inflammatory bowel disease (IBD) experience extraintestinal manifestations (EIMs), which can present either before or after IBD diagnosis. Unraveling the pathogenic pathways of EIMs in IBD is challenging because of the lack of reliable criteria for diagnosis and difficulty in distinguishing EIMs from external pathologies caused by drugs or other etiologies. Optimizing treatment can also be difficult. Early diagnosis and management of EIM revolve around multidisciplinary teams, and they should have the resources necessary to make and implement appropriate decisions. In addition, specialists of the affected organs should be trained in IBD treatment. Furthermore, patient awareness regarding the extraintestinal symptoms of IBD is of paramount importance for improving patient understanding of disease and health outcomes. Herein, we review the pathogenesis and clinical perspectives of EIMs in IBD.

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Section: Key Recommendations For Improving the Disease Course And Primentioning

confidence: 99%

Section: Key Recommendations For Improving the Disease Course And Primentioning

confidence: 99%

Pathogenesis and clinical perspectives of extraintestinal manifestations in inflammatory bowel diseases

Cheon

2020

Intest Res

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“…The quantitative studies examined the effectiveness of the following interventions: web‐guided intervention, IBD management through an electronic health record patient portal, home tele‐management, telemedicine, short message services (SMS) for remote monitoring, tele‐monitoring using a mobile application, monitoring of fecal calprotectin (an inflammatory biomarker) using a smartphone application, nurse‐led annual telephone monitoring, a secure web‐based program for medication monitoring, videoconference clinics, a decision support tool to customize self‐management, a web‐based application for monitoring disease activity, and telemedicine virtual visits. The second qualitative study (Walsh et al, 2019) also evaluated a web‐based program that remotely assessed patient‐reported outcomes. The qualitative studies used a semi‐structured questionnaire to collect data through face‐to‐face interviews (Walsh et al, 2019) and telephone interviews (Reich et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

“…The second qualitative study (Walsh et al, 2019) also evaluated a web‐based program that remotely assessed patient‐reported outcomes. The qualitative studies used a semi‐structured questionnaire to collect data through face‐to‐face interviews (Walsh et al, 2019) and telephone interviews (Reich et al, 2019). Both studies employed thematic analysis for the data analysis.…”

Section: Resultsmentioning

confidence: 99%

“…Of the 18 studies, eight (Abutaleb et al, 2018; Cross et al, 2019; de Jong et al, 2017; Del Hoyo et al, 2018; Krier et al, 2011; Li et al, 2017; Ruf et al, 2019; Sebastian et al, 2019) included adults with IBD of both subtypes (CD & UC), and participants with active disease and remission (inactive disease). Six of the studies (Cross et al, 2012; Elkjaer et al, 2010; Jackson et al, 2019; Pederson et al, 2014; Sebastian et al, 2019; Walsh et al, 2019) included participants with UC only; three of these studies included participants with mild to moderate UC (Elkjaer et al, 2010; Jackson et al, 2019; Pederson et al, 2014), and one study included subjects with CD (Pederson et al, 2012) who were in remission and or active disease. The study by Bager (2014) only selected adults with IBD in remission.…”

Section: Resultsmentioning

confidence: 99%

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Telehealth and mobile health interventions in adults with inflammatory bowel disease: A mixed‐methods systematic review

Davis

Ross

Adatorwovor

et al. 2020

Research in Nursing & Health

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Inflammatory bowel disease (IBD) is a chronic illness that is comprised of two major disorders: Crohn's disease and ulcerative colitis. Adults with IBD have adopted telehealth and mobile health (mHealth) interventions to improve their selfmanagement skills and symptom-monitoring. This systematic review aimed to evaluate the efficacy of telehealth and mHealth interventions and explore the benefits and challenges of these interventions in patients with IBD. This review used a convergent segregated approach to synthesize and integrate research findings, a methodology recommended by the Joanna Briggs Institute for mixed-methods systematic reviews. Databases searched included PubMed, CINAHL, Embase, Cochrane Controlled Trials Registry, and ClinicalTrials.gov. The search followed the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, which yielded sixteen quantitative and two qualitative articles. A narrative synthesis was performed to present the findings of quantitative and qualitative studies. Evidence from quantitative and qualitative studies was then integrated for a combined presentation. The results of quantitative analysis supported the efficacy of telehealth and mHealth interventions to improve patients' quality of life, medication adherence, disease activity, medication monitoring, disease-related knowledge and cost savings. While some participants in qualitative studies reported certain challenges of telehealth and mHealth interventions, most of the participants conferred the benefits of the interventions, including improved disease-related knowledge, communication between patients and providers, sense of reassurance, and appointment options. The evidence from quantitative and qualitative synthesis partially supported each other. 1 | INTRODUCTION Inflammatory bowel disease (IBD) is a chronic illness of the gastrointestinal (GI) tract that mainly encompasses two major disorders: Crohn's disease (CD) and ulcerative colitis (UC; Lee, Kwon, & Cho, 2018). Active inflammation of the GI tract is the key factor behind IBD (Stein & Shaker, 2015). The clinical presentation of IBD includes abdominal pain, diarrhea, bowel urgency, rectal bleeding, weight loss, nutritional deficiencies, and many other extraintestinal manifestations (Stein & Shaker, 2015). Additionally, other symptoms, such as anxiety, depression, sleep disturbances, and fatigue, are highly prevalent in adults with IBD (Conley et al., 2017). This symptom burden, coupled with the remitting-relapsing nature of the disease and many other factors, including low social and family support, female gender,

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Deep learning model for distinguishing Mayo endoscopic subscore 0 and 1 in patients with ulcerative colitis

Kim

Choi

Lee

et al. 2023

Sci Rep

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The aim of this study was to address the issue of differentiating between Mayo endoscopic subscore (MES) 0 and MES 1 using a deep learning model. A dataset of 492 ulcerative colitis (UC) patients who demonstrated MES improvement between January 2018 and December 2019 at Samsung Medical Center was utilized. Specifically, two representative images of the colon and rectum were selected from each patient, resulting in a total of 984 images for analysis. The deep learning model utilized in this study consisted of a convolutional neural network (CNN)-based encoder, with two auxiliary classifiers for the colon and rectum, as well as a final MES classifier that combined image features from both inputs. In the internal test, the model achieved an F1-score of 0.92, surpassing the performance of seven novice classifiers by an average margin of 0.11, and outperforming their consensus by 0.02. The area under the receiver operating characteristic curve (AUROC) was calculated to be 0.97 when considering MES 1 as positive, with an area under the precision-recall curve (AUPRC) of 0.98. In the external test using the Hyperkvasir dataset, the model achieved an F1-score of 0.89, AUROC of 0.86, and AUPRC of 0.97. The results demonstrate that the proposed CNN-based model, which integrates image features from both the colon and rectum, exhibits superior performance in accurately discriminating between MES 0 and MES 1 in patients with UC.

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Real-time data monitoring for ulcerative colitis: patient perception and qualitative analysis

Cited by 14 publications

References 41 publications

Pathogenesis and clinical perspectives of extraintestinal manifestations in inflammatory bowel diseases

Pathogenesis and clinical perspectives of extraintestinal manifestations in inflammatory bowel diseases

Telehealth and mobile health interventions in adults with inflammatory bowel disease: A mixed‐methods systematic review

Deep learning model for distinguishing Mayo endoscopic subscore 0 and 1 in patients with ulcerative colitis

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