The Harvey-Bradshaw Index Adapted to a Mobile Application Compared with In-Clinic Assessment: The MediCrohn Study
Resumen: Objectives: Mobile apps are useful tools in e-health and self-management 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%, kappa = 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%, kappa = 0.82) and month 4 (91.5%, kappa = 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.

Idioma: Inglés
DOI: 10.1089/tmj.2018.0264
Año: 2020
Publicado en: TELEMEDICINE AND E-HEALTH 26, 1 (2020), 78-86
ISSN: 1530-5627

Factor impacto JCR: 3.536 (2020)
Categ. JCR: HEALTH CARE SCIENCES & SERVICES rank: 36 / 108 = 0.333 (2020) - Q2 - T2
Factor impacto SCIMAGO: 0.95 - Health Informatics (Q1) - Medicine (miscellaneous) (Q1) - Health Information Management (Q1)

Financiación: info:eu-repo/grantAgreement/ES/ISCIII/FIS/2015–2017
Tipo y forma: Artículo (Versión definitiva)
Área (Departamento): Area Medicina (Dpto. Medicina, Psiqu. y Derm.)

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