Development of a Web-based, self-reporting symptom diary for Crohn's Disease, and its correlation with the Crohn's Disease Activity Index

Kim, Eun Soo; Park, Kyung Sik; Cho, Kwang Bum; Kim, Kyeong Ok; Jang, Byung Ik; Kim, Eun Young; Jung, Jin Tae; Jung, Min Kyu; Lee, Hyun Seok; Yang, Chang Heon; Lee, Yong Kook

doi:10.1016/j.crohns.2014.09.003

Cited by 17 publications

(18 citation statements)

References 23 publications

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“…However, decision support tools in IBD are now feasible as current eHealth technologies can provide the necessary components, including functionalities that allow recording of PRO and clinical biomarkers, validated disease severity indices on which algorithms can be based and a means of automatically delivering treatment suggestions in real time . Validated disease activity indices, such as the Crohn Disease Activity Index (CDAI) and the Simple Clinical Colitis Activity Index (SSCAI), can be reliably completed by patients using eHealth tools to measure disease activity . Moreover, home‐based measurement of faecal calprotectin is feasible and has been shown to agree with hospital‐based enzyme‐linked immunosorbent assays (ELISA) …”

Section: Discussionmentioning

confidence: 99%

“…[18][19][20][21][22] Validated disease activity indices, such as the Crohn Disease Activity Index (CDAI) and the Simple Clinical Colitis Activity Index (SSCAI), can be reliably completed by patients using eHealth tools to measure disease activity. [35][36][37] Moreover, home-based measurement of faecal calprotectin is feasible and has been shown to agree with hospital-based enzyme-linked immunosorbent assays (ELISA). 38,39 Previous eHealth decision support tools have lacked a multi-stage design process with appropriate consultation, which is necessary given the complex interactions between key stakeholders.…”

Section: Discussionmentioning

confidence: 99%

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Design considerations for an eHealth decision support tool in inflammatory bowel disease self‐management

Jackson

Con

Cruz

2018

Internal Medicine Journal

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Design considerations for an eHealth decision support tool in inflammatory bowel disease self‐management

Jackson

Con

Cruz

2018

Internal Medicine Journal

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“…26 While the evidence supporting the utility of telemedicine and internet-based interventions in IBD is emerging, the evidence supporting the efficacy of mobile phone apps in the CD setting is scarce. 20,22 Although it was not a mobile app, Kim et al, 27 found that web-based diaries using the HBI can be useful in the monitoring of clinical disease activity in patients with CD, with good correlation between HBI completed through the web by the patient and the CDAI calculated by the medical staff. Recently, Van Deen et al 9 developed and validated a scoring system to monitor disease activity in patients with CD and UC that can be used with mobile technologies.…”

Section: Discussionmentioning

confidence: 99%

The Harvey–Bradshaw Index Adapted to a Mobile Application Compared with In-Clinic Assessment: The MediCrohn Study

Echarri¹,

Vera

Ollero³

et al. 2020

Telemedicine and e-Health

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Objectives: Mobile apps are useful tools in e-health and selfmanagement strategies in disease monitoring. We evaluated the Harvey-Bradshaw index (HBI) mobile app self-administered by the patient to see if its results agreed with HBI in-clinic assessed by a physician. Methods: Patients were enrolled in a 4-month prospective study with clinical assessments at months 1 and 4. Patients completed mobile app HBI and within 48 h, HBI was performed by a physician (gold standard). HBI scores characterized Crohn's disease (CD) as remission <5 or active ‡5. We determined agreement per item and total HBI score and intraclass correlation coefficients (ICCs). Bland-Altman plot was performed. HBI changes in disease activity from month 1 to month 4 were determined. Results: A total of 219 patients were enrolled. All scheduled assessments (385 pairs of the HBI questionnaire) showed a high percentage of agreement for remission/activity (92.4%, j = 0.796), positive predictive value (PPV) for remission of 98.2%, and negative predictive value of 76.7%. High agreement was also found at month 1 (93.15%, j = 0.82) and month 4 (91.5%, j = 0.75). Bland-Altman plot was more uniform when the HBI mean values were <5 (remission). ICC values were 0.82, 0.897, and 0.879 in all scheduled assessments, 1 and 4 months, respectively. Conclusions: We found a high percentage of agreement between patients' self-administered mobile app HBI and in-clinic physician assessment to detect CD activity with a remarkably high PPV for remission. The mobile app HBI might allow a strict control of inflammation by remote monitoring and flexible follow-up of CD patients. Reduction of sanitary costs could be possible.

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“…The features of the CDSD have been described in detail in a previous study [ 8 ]. Briefly, it was composed of five clinical parameters based on the Harvey-Bradshaw index: general well-being, abdominal pain, number of liquid stools per day, abdominal mass, and presence of CD-associated complications.…”

Section: Methodsmentioning

confidence: 99%

“…We recently developed a web-based self-reporting Crohn’s Disease Symptom Diary (CDSD) using the http://www.cdsd.or.kr website and reported that it corresponded well to the CDAI, with a CDSD score of 5 as the cut-off value of clinical remission [ 8 ]. Patients can record their symptoms at any moment through a smartphone.…”

Section: Introductionmentioning

confidence: 99%

Disparity in Crohn’s disease activity between home and clinics is associated with unscheduled hospital visits due to disease flares

Kim

Lee

Jang

et al. 2018

Korean J Intern Med

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Background/AimsE-health technologies have been implemented for the management of Crohn’s disease (CD). We aimed to identify differences between patient activities at home and at routine clinic visits using a web-based self-reporting CD symptom diary (CDSD) and to determine the impact of this disparity on clinical outcomes.MethodsPatients with CD from three tertiary hospitals were invited to assess their symptoms at least once a week using CDSD. We identified patients who showed disparities in disease activity (high activity at home but normal at the next hospital visit) and evaluated clinical outcomes of these patients such as unscheduled visits due to flares using Kaplan-Meier analyses.ResultsOne hundred and forty-three patients recorded their symptoms weekly for at least 3 consecutive months and were included. Forty-eight patients (33.6%) showed disparate disease activities between at home and at the next outpatient clinic visit. The cumulative risk of unscheduled visits was significantly higher in this disparity group than in the concordant group (p = 0.001). Disparity in activity (p = 0.003), and anti-tumor necrosis factor use (p = 0.002) were independent risk factors of unscheduled visits due to disease flares.ConclusionsDisparity in disease activity is considerable in CD patients and is related to the risk of unscheduled hospital visit.

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Development of a Web-based, self-reporting symptom diary for Crohn's Disease, and its correlation with the Crohn's Disease Activity Index

Cited by 17 publications

References 23 publications

Design considerations for an eHealth decision support tool in inflammatory bowel disease self‐management

Design considerations for an eHealth decision support tool in inflammatory bowel disease self‐management

The Harvey–Bradshaw Index Adapted to a Mobile Application Compared with In-Clinic Assessment: The MediCrohn Study

Disparity in Crohn’s disease activity between home and clinics is associated with unscheduled hospital visits due to disease flares

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