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Mobile health indexes for remotely monitoring Crohn’s disease and ulcerative colitis accurately identified clinically active disease and changed significantly as disease activity did, researchers reported in the December issue of Clinical Gastroenterology and Hepatology.
The mobile health index for Crohn’s disease predicted clinical disease activity with an area under the receiver operating characteristic curve (AUC) of 0.90, Welmoed K. van Deen, MD, of the University of California, Los Angeles, and her associates wrote in Clinical Gastroenterology and Hepatology. The AUC for the ulcerative colitis index for ulcerative colitis was very similar, at 0.91. “The [mobile health indexes] are specifically designed for implementation on a mobile application, and are currently available to patients with IBD [inflammatory bowel disease] treated at the UCLA Center for IBD,” the researchers said. “Prospective, randomized studies need to assess the effect of remote monitoring on disease control, quality of life, patient satisfaction, and health care costs.”
Inspired by the lack of smartphone applications for remotely managing inflammatory bowel disease, the researchers administered comprehensive disease-specific questionnaires to 110 patients with Crohn’s disease and 109 patients with ulcerative colitis who visited the UCLA IBD center in 2013 and 2014. They compared patient-reported outcomes across 10 domains of disease activity with scores on a number of existing disease activity indexes, and used logistic regression to identify which self-reported outcomes best predicted disease activity in both Crohn’s disease and ulcerative colitis (Clin Gastroenterol Hepatol. 2015 Nov 18. doi: 10.1016/j.cgh.2015.10.035).
The resulting Crohn’s disease mobile health index asked how many liquid or “very soft” stools patients had per day, if they had abdominal pain, and how they would rate their well-being and level of disease control on scales ranging between 0 and 10. The ulcerative colitis mobile health index asked about number of stools the day before and had patients score abdominal pain, frequency of rectal bleeding, and level of disease control between 0 and 10. The researchers also validated each mobile health index in multicenter cohorts of 301 patients with Crohn’s disease and 265 patients with ulcerative colitis.
Each mobile health index detected clinical disease activity with about 90% accuracy, compared with standard measures, including the Crohn’s disease activity index and the Harvey Bradshaw index for Crohn’s disease, the partial Mayo score, the simple clinical colitis activity index, and the modified Truelove and Witts index for ulcerative colitis. But the mobile indexes detected endoscopic disease activity less accurately, with AUCs of 0.82 for ulcerative colitis and only 0.63 for Crohn’s disease. “As previously shown, ulcerative colitis clinical disease activity highly correlates with endoscopic disease activity, whereas correlation between Crohn’s disease symptoms and endoscopic findings is poor,” the researchers noted. However, both mobile indexes reliably detected changes in disease activity, varying significantly depending on whether patients were clinically improved, stable, or worse, regardless of whether they had Crohn’s disease (P = .003) or ulcerative colitis (P = .0025).
To explore intrapatient reliability, the researchers also compared initial and follow-up mobile health index results for subgroups of 40 Crohn’s disease patients tested a median of 21 hours apart, and 37 ulcerative colitis patients tested a median of 23 hours apart. In both cases, the intraclass correlation coefficient reached 0.94 (95% confidence interval, 0.89-0.97). “Cloud-based health technologies are predicted to revolutionize care delivery and patient engagement,” the investigators commented. “Patients can participate in their care by signaling meaningful health outcomes during year-round monitoring. Barriers for more widespread implementation of mobile health in inflammatory bowel disease care include policies affecting reimbursement and regulatory requirements, and privacy and security concerns.”
Genova Diagnostics provided stool collection kits and fecal calprotectin testing. The investigators had no disclosures.
To make mobile applications for inflammatory bowel disease valuable, it is critical to accurately capture disease activity in a consistent and reproducible manner. With this in mind, Dr. Van Deen and colleagues designed and evaluated specific “mobile health indexes” (mHIs) for patients with Crohn’s disease and ulcerative colitis.
Patients were invited to complete validated questionnaires assessing patient-reported outcomes (PROs) and clinical disease activity. PROs across 10 domains with the strongest correlation to clinical disease activity scores were identified and used to generate the mobile health indexes.
Strengths of this particular study include the prospective design that incorporated reliability assessments and independent validation cohorts. Potential weaknesses include patient recall bias, small sample size, and lack of knowledge on how language and numerical scales were interpreted across health literacy levels and cultural backgrounds. Nevertheless, these mobile health indexes have promise, both as disease-monitoring and engagement tools, whose clinical impact has yet to be fully realized.
Lauren K. Tormey, MD, is an assistant professor of medicine at the Geisel School of Medicine at Dartmouth and member of the Dartmouth-Hitchcock Inflammatory Bowel Disease Center in Lebanon, N.H. She discloses no conflicts.
To make mobile applications for inflammatory bowel disease valuable, it is critical to accurately capture disease activity in a consistent and reproducible manner. With this in mind, Dr. Van Deen and colleagues designed and evaluated specific “mobile health indexes” (mHIs) for patients with Crohn’s disease and ulcerative colitis.
Patients were invited to complete validated questionnaires assessing patient-reported outcomes (PROs) and clinical disease activity. PROs across 10 domains with the strongest correlation to clinical disease activity scores were identified and used to generate the mobile health indexes.
Strengths of this particular study include the prospective design that incorporated reliability assessments and independent validation cohorts. Potential weaknesses include patient recall bias, small sample size, and lack of knowledge on how language and numerical scales were interpreted across health literacy levels and cultural backgrounds. Nevertheless, these mobile health indexes have promise, both as disease-monitoring and engagement tools, whose clinical impact has yet to be fully realized.
Lauren K. Tormey, MD, is an assistant professor of medicine at the Geisel School of Medicine at Dartmouth and member of the Dartmouth-Hitchcock Inflammatory Bowel Disease Center in Lebanon, N.H. She discloses no conflicts.
To make mobile applications for inflammatory bowel disease valuable, it is critical to accurately capture disease activity in a consistent and reproducible manner. With this in mind, Dr. Van Deen and colleagues designed and evaluated specific “mobile health indexes” (mHIs) for patients with Crohn’s disease and ulcerative colitis.
Patients were invited to complete validated questionnaires assessing patient-reported outcomes (PROs) and clinical disease activity. PROs across 10 domains with the strongest correlation to clinical disease activity scores were identified and used to generate the mobile health indexes.
Strengths of this particular study include the prospective design that incorporated reliability assessments and independent validation cohorts. Potential weaknesses include patient recall bias, small sample size, and lack of knowledge on how language and numerical scales were interpreted across health literacy levels and cultural backgrounds. Nevertheless, these mobile health indexes have promise, both as disease-monitoring and engagement tools, whose clinical impact has yet to be fully realized.
Lauren K. Tormey, MD, is an assistant professor of medicine at the Geisel School of Medicine at Dartmouth and member of the Dartmouth-Hitchcock Inflammatory Bowel Disease Center in Lebanon, N.H. She discloses no conflicts.
Mobile health indexes for remotely monitoring Crohn’s disease and ulcerative colitis accurately identified clinically active disease and changed significantly as disease activity did, researchers reported in the December issue of Clinical Gastroenterology and Hepatology.
The mobile health index for Crohn’s disease predicted clinical disease activity with an area under the receiver operating characteristic curve (AUC) of 0.90, Welmoed K. van Deen, MD, of the University of California, Los Angeles, and her associates wrote in Clinical Gastroenterology and Hepatology. The AUC for the ulcerative colitis index for ulcerative colitis was very similar, at 0.91. “The [mobile health indexes] are specifically designed for implementation on a mobile application, and are currently available to patients with IBD [inflammatory bowel disease] treated at the UCLA Center for IBD,” the researchers said. “Prospective, randomized studies need to assess the effect of remote monitoring on disease control, quality of life, patient satisfaction, and health care costs.”
Inspired by the lack of smartphone applications for remotely managing inflammatory bowel disease, the researchers administered comprehensive disease-specific questionnaires to 110 patients with Crohn’s disease and 109 patients with ulcerative colitis who visited the UCLA IBD center in 2013 and 2014. They compared patient-reported outcomes across 10 domains of disease activity with scores on a number of existing disease activity indexes, and used logistic regression to identify which self-reported outcomes best predicted disease activity in both Crohn’s disease and ulcerative colitis (Clin Gastroenterol Hepatol. 2015 Nov 18. doi: 10.1016/j.cgh.2015.10.035).
The resulting Crohn’s disease mobile health index asked how many liquid or “very soft” stools patients had per day, if they had abdominal pain, and how they would rate their well-being and level of disease control on scales ranging between 0 and 10. The ulcerative colitis mobile health index asked about number of stools the day before and had patients score abdominal pain, frequency of rectal bleeding, and level of disease control between 0 and 10. The researchers also validated each mobile health index in multicenter cohorts of 301 patients with Crohn’s disease and 265 patients with ulcerative colitis.
Each mobile health index detected clinical disease activity with about 90% accuracy, compared with standard measures, including the Crohn’s disease activity index and the Harvey Bradshaw index for Crohn’s disease, the partial Mayo score, the simple clinical colitis activity index, and the modified Truelove and Witts index for ulcerative colitis. But the mobile indexes detected endoscopic disease activity less accurately, with AUCs of 0.82 for ulcerative colitis and only 0.63 for Crohn’s disease. “As previously shown, ulcerative colitis clinical disease activity highly correlates with endoscopic disease activity, whereas correlation between Crohn’s disease symptoms and endoscopic findings is poor,” the researchers noted. However, both mobile indexes reliably detected changes in disease activity, varying significantly depending on whether patients were clinically improved, stable, or worse, regardless of whether they had Crohn’s disease (P = .003) or ulcerative colitis (P = .0025).
To explore intrapatient reliability, the researchers also compared initial and follow-up mobile health index results for subgroups of 40 Crohn’s disease patients tested a median of 21 hours apart, and 37 ulcerative colitis patients tested a median of 23 hours apart. In both cases, the intraclass correlation coefficient reached 0.94 (95% confidence interval, 0.89-0.97). “Cloud-based health technologies are predicted to revolutionize care delivery and patient engagement,” the investigators commented. “Patients can participate in their care by signaling meaningful health outcomes during year-round monitoring. Barriers for more widespread implementation of mobile health in inflammatory bowel disease care include policies affecting reimbursement and regulatory requirements, and privacy and security concerns.”
Genova Diagnostics provided stool collection kits and fecal calprotectin testing. The investigators had no disclosures.
Mobile health indexes for remotely monitoring Crohn’s disease and ulcerative colitis accurately identified clinically active disease and changed significantly as disease activity did, researchers reported in the December issue of Clinical Gastroenterology and Hepatology.
The mobile health index for Crohn’s disease predicted clinical disease activity with an area under the receiver operating characteristic curve (AUC) of 0.90, Welmoed K. van Deen, MD, of the University of California, Los Angeles, and her associates wrote in Clinical Gastroenterology and Hepatology. The AUC for the ulcerative colitis index for ulcerative colitis was very similar, at 0.91. “The [mobile health indexes] are specifically designed for implementation on a mobile application, and are currently available to patients with IBD [inflammatory bowel disease] treated at the UCLA Center for IBD,” the researchers said. “Prospective, randomized studies need to assess the effect of remote monitoring on disease control, quality of life, patient satisfaction, and health care costs.”
Inspired by the lack of smartphone applications for remotely managing inflammatory bowel disease, the researchers administered comprehensive disease-specific questionnaires to 110 patients with Crohn’s disease and 109 patients with ulcerative colitis who visited the UCLA IBD center in 2013 and 2014. They compared patient-reported outcomes across 10 domains of disease activity with scores on a number of existing disease activity indexes, and used logistic regression to identify which self-reported outcomes best predicted disease activity in both Crohn’s disease and ulcerative colitis (Clin Gastroenterol Hepatol. 2015 Nov 18. doi: 10.1016/j.cgh.2015.10.035).
The resulting Crohn’s disease mobile health index asked how many liquid or “very soft” stools patients had per day, if they had abdominal pain, and how they would rate their well-being and level of disease control on scales ranging between 0 and 10. The ulcerative colitis mobile health index asked about number of stools the day before and had patients score abdominal pain, frequency of rectal bleeding, and level of disease control between 0 and 10. The researchers also validated each mobile health index in multicenter cohorts of 301 patients with Crohn’s disease and 265 patients with ulcerative colitis.
Each mobile health index detected clinical disease activity with about 90% accuracy, compared with standard measures, including the Crohn’s disease activity index and the Harvey Bradshaw index for Crohn’s disease, the partial Mayo score, the simple clinical colitis activity index, and the modified Truelove and Witts index for ulcerative colitis. But the mobile indexes detected endoscopic disease activity less accurately, with AUCs of 0.82 for ulcerative colitis and only 0.63 for Crohn’s disease. “As previously shown, ulcerative colitis clinical disease activity highly correlates with endoscopic disease activity, whereas correlation between Crohn’s disease symptoms and endoscopic findings is poor,” the researchers noted. However, both mobile indexes reliably detected changes in disease activity, varying significantly depending on whether patients were clinically improved, stable, or worse, regardless of whether they had Crohn’s disease (P = .003) or ulcerative colitis (P = .0025).
To explore intrapatient reliability, the researchers also compared initial and follow-up mobile health index results for subgroups of 40 Crohn’s disease patients tested a median of 21 hours apart, and 37 ulcerative colitis patients tested a median of 23 hours apart. In both cases, the intraclass correlation coefficient reached 0.94 (95% confidence interval, 0.89-0.97). “Cloud-based health technologies are predicted to revolutionize care delivery and patient engagement,” the investigators commented. “Patients can participate in their care by signaling meaningful health outcomes during year-round monitoring. Barriers for more widespread implementation of mobile health in inflammatory bowel disease care include policies affecting reimbursement and regulatory requirements, and privacy and security concerns.”
Genova Diagnostics provided stool collection kits and fecal calprotectin testing. The investigators had no disclosures.
FROM CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
Key clinical point: Two short mobile health indexes accurately identified disease activity in Crohn’s disease and ulcerative colitis.
Major finding: Areas under the receiver operating curve (AUC) were 0.91 for Crohn’s disease and 0.90 for ulcerative colitis when compared with standard measures of clinical disease activity.
Data source: A prospective, observational study of 110 patients with Crohn’s disease and 109 patients with ulcerative colitis.
Disclosures: Genova Diagnostics provided stool collection kits and fecal calprotectin testing. The investigators had no disclosures.