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dc.contributor.authorEcharri, Ana
dc.contributor.authorVera, Isabel
dc.contributor.authorArajol, Claudia
dc.contributor.authorRiestra, Sabino
dc.contributor.authorRobledo, Pilar
dc.contributor.authorCalvo, Marta
dc.contributor.authorGallego, Francisco
dc.contributor.authorCeballos, Daniel
dc.contributor.authorCastro, Beatriz
dc.contributor.authorAguas, Miriam
dc.contributor.authorGarcía-López, Santiago
dc.contributor.authorMarín-Jiménez, Ignacio
dc.contributor.authorChaparro, María
dc.contributor.authorMesonero, Paco
dc.contributor.authorGuerra, Iván
dc.contributor.authorGuardiola, Jordi
dc.contributor.authorNos, Pilar
dc.contributor.authorMuñiz, Javier
dc.date.accessioned2020-01-30T13:18:33Z
dc.date.available2020-01-30T13:18:33Z
dc.date.issued2020-01-07
dc.identifier.citationEcharri A, Vera I, Ollero V, et al. The Harvey–Bradshaw Index adapted to a mobile application compared with In-clinic assessment: the MediCrohn Study. Telemed J E Health. 2020; 26(1):78-86es_ES
dc.identifier.issn1530-5627
dc.identifier.urihttp://hdl.handle.net/2183/24797
dc.description.abstract[Abstract] 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%, κ = 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%, κ = 0.82) and month 4 (91.5%, κ = 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.es_ES
dc.language.isoenges_ES
dc.publisherMary Ann Liebert, Inc.es_ES
dc.relation.urihttp://doi.org/10.1089/tmj.2018.0264es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectBehavioral healthes_ES
dc.subjecte-healthes_ES
dc.subjectHome health monitoringes_ES
dc.subjectTelehealthes_ES
dc.subjectTelemedicinees_ES
dc.titleThe Harvey–Bradshaw Index adapted to a mobile application compared with In-clinic assessment: the MediCrohn Studyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleTelemedicine and e-Healthes_ES
UDC.volume26es_ES
UDC.issue1es_ES
UDC.startPage78es_ES
UDC.endPage86es_ES


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