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Matini L, Chapman TP, Kantschuster R, Wilson J, Tarafdar A, Hussain M, Song K, Simadibrata DM, Seeva P, White L, Slater J, Kormilitzin A, Collins G, Travis SPL, Walsh A. Development of the Escalation of Therapy or Intervention (ETI) Calculator for Patients with Ulcerative Colitis Using ePROMs. J Crohns Colitis 2023; 17:1744-1751. [PMID: 37306285 DOI: 10.1093/ecco-jcc/jjad099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 04/17/2023] [Accepted: 06/11/2023] [Indexed: 06/13/2023]
Abstract
BACKGROUND AND AIMS Digital collection of patient-reported outcome measures [PROMs] is largely unexplored as a basis for follow-up for patients with ulcerative colitis [UC]. Our aim was to develop a model to predict the likelihood of escalation of therapy or intervention at an outpatient appointment that may be used to rationalize follow-up. METHODS TrueColours-IBD is a web-based, real-time, remote monitoring software that allows longitudinal collection of ePROMs. Data for prediction modelling were derived from a Development Cohort, guided by the TRIPOD statement. Logistic regression modelling used ten candidate items to predict escalation of therapy or intervention. An Escalation of Therapy or Intervention [ETI] calculator was developed, and applied in a Validation Cohort at the same centre. RESULTS The Development Cohort [n = 66] was recruited in 2016 and followed for 6 months [208 appointments]. From ten items, four significant predictors of ETI were identified: SCCAI, IBD Control-8, faecal calprotectin, and platelets. For practicality, a model with only SCCAI and IBD Control-8, both entered remotely by the patient, without the need for faecal calprotectin or blood tests was selected. Between 2018 and 2020, a Validation Cohort of 538 patients [1188 appointments] was examined. A 5% threshold on the ETI calculator correctly identified 343/388 [88%] escalations and 274/484 [57%] non-escalations. CONCLUSIONS A calculator based on digital, patient-entered data on symptoms and quality of life can predict whether a patient with UC requires escalation of therapy or intervention at an outpatient appointment. This may be used to streamline outpatient appointments for patients with UC.
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Affiliation(s)
- Lawrence Matini
- Translational Gastroenterology Unit, Nuffield Department of Experimental Medicine, University of Oxford, Oxford, UK
| | - Thomas P Chapman
- Department of Gastroenterology, St Richard's and Worthing Hospitals, University Hospitals Sussex NHS Foundation Trust, West Sussex, UK
| | - Ramona Kantschuster
- Translational Gastroenterology Unit, Nuffield Department of Experimental Medicine, University of Oxford, Oxford, UK
| | - Jean Wilson
- Translational Gastroenterology Unit, Nuffield Department of Experimental Medicine, University of Oxford, Oxford, UK
| | - Adib Tarafdar
- Translational Gastroenterology Unit, Nuffield Department of Experimental Medicine, University of Oxford, Oxford, UK
| | - Moheez Hussain
- Translational Gastroenterology Unit, Nuffield Department of Experimental Medicine, University of Oxford, Oxford, UK
| | - Kaiyang Song
- Translational Gastroenterology Unit, Nuffield Department of Experimental Medicine, University of Oxford, Oxford, UK
| | | | - Pavetha Seeva
- Translational Gastroenterology Unit, Nuffield Department of Experimental Medicine, University of Oxford, Oxford, UK
| | - Lydia White
- Translational Gastroenterology Unit, Nuffield Department of Experimental Medicine, University of Oxford, Oxford, UK
| | - Jessica Slater
- Translational Gastroenterology Unit, Nuffield Department of Experimental Medicine, University of Oxford, Oxford, UK
| | | | - Gary Collins
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Simon P L Travis
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Alissa Walsh
- Translational Gastroenterology Unit, Nuffield Department of Experimental Medicine, University of Oxford, Oxford, UK
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Wong D, Matini L, Kormilitzin A, Kantschuster R, Simadibrata DM, Lyden S, Wilson J, Brain OA, Palmer R, Ambrose T, Satsangi J, South M, Geddes J, Bodger K, Travis SPL, Walsh A. Patient-reported Outcomes: the ICHOM Standard Set for Inflammatory Bowel Disease in Real-life Practice Helps Quantify Deficits in Current Care. J Crohns Colitis 2022; 16:1874-1881. [PMID: 35868223 PMCID: PMC9721458 DOI: 10.1093/ecco-jcc/jjac099] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Patient-reported outcome measures [PROMs] are key to documenting outcomes that matter most to patients and are increasingly important to commissioners of health care seeking value. We report the first series of the ICHOM Standard Set for Inflammatory Bowel Disease [IBD]. METHODS Patients treated for ulcerative colitis [UC] or Crohn's disease [CD] in our centre were offered enrolment into the web-based TrueColours-IBD programme. Through this programme, e-mail prompts linking to validated questionnaires were sent for symptoms, quality of life, and ICHOM IBD outcomes. RESULTS The first 1299 consecutive patients enrolled [779 UC, 520 CD] were studied with median 270 days of follow-up (interquartile range [IQR] 116, 504). 671 [52%] were female, mean age 42 years (standard deviation [sd] 16), mean body mass index [BMI] 26 [sd 5.3]. At registration, 483 [37%] were using advanced therapies. Median adherence to fortnightly quality of life reporting and quarterly outcomes was 100% [IQR 48, 100%] and 100% [IQR 75, 100%], respectively. In the previous 12 months, prednisolone use was reported by 229 [29%] patients with UC vs 81 [16%] with CD, p <0.001; 202 [16%] for <3 months; and 108 [8%] for >3 months. An IBD-related intervention was reported by 174 [13%] patients, and 80 [6%] reported an unplanned hospital admission. There were high rates of fatigue [50%] and mood disturbance [23%]. CONCLUSIONS Outcomes reported by patients illustrate the scale of the therapeutic deficit in current care. Proof of principle is demonstrated that PROM data can be collected continuously with little burden on health care professionals. This may become a metric for quality improvement programmes or to compare outcomes.
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Affiliation(s)
- Darren Wong
- Corresponding author: Dr Alissa Walsh, Translational Gastroenterology Unit, Oxford University Hospitals NHS Foundation Trust, Headley Way, Headington, Oxford OX3 9DU, UK. E-mail:
| | - Lawrence Matini
- Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust and NIHR Biomedical Research Centre, Oxford, UK
| | | | - Ramona Kantschuster
- Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust and NIHR Biomedical Research Centre, Oxford, UK
| | - Daniel Martin Simadibrata
- Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust and NIHR Biomedical Research Centre, Oxford, UK,Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
| | - Sara Lyden
- Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust and NIHR Biomedical Research Centre, Oxford, UK
| | - Jean Wilson
- Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust and NIHR Biomedical Research Centre, Oxford, UK
| | - Oliver A Brain
- Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust and NIHR Biomedical Research Centre, Oxford, UK
| | - Rebecca Palmer
- Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust and NIHR Biomedical Research Centre, Oxford, UK
| | - Tim Ambrose
- Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust and NIHR Biomedical Research Centre, Oxford, UK
| | - Jack Satsangi
- Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust and NIHR Biomedical Research Centre, Oxford, UK
| | - Matthew South
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - John Geddes
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Keith Bodger
- Department of Health Data Science, Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Simon P L Travis
- Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust and NIHR Biomedical Research Centre, Oxford, UK
| | - Alissa Walsh
- Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust and NIHR Biomedical Research Centre, Oxford, UK
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Walsh A, Cao R, Wong D, Kantschuster R, Matini L, Wilson J, Kormilitzin A, South M, Travis S, Bauermeister S. Using item response theory (IRT) to improve the efficiency of the Simple Clinical Colitis Activity Index (SCCAI) for patients with ulcerative colitis. BMC Gastroenterol 2021; 21:132. [PMID: 33752610 PMCID: PMC7983213 DOI: 10.1186/s12876-021-01621-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 01/20/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND The SCCAI was designed to facilitate assessment of disease activity in ulcerative colitis (UC). We aimed to interrogate the metric properties of individual items of the SCCAI using item response theory (IRT) analysis, to simplify and improve its performance. METHODS The original 9-item SCCAI was collected through TrueColours, a real-time software platform which allows remote entry and monitoring of patients with UC. Data were securely uploaded onto Dementias Platform UK Data Portal, where they were analysed in Stata 16.1 SE. A 2-parameter (2-PL) logistic IRT model was estimated to evaluate each item of the SCCAI for its informativeness (discrimination). A revised scale was generated and re-assessed following systematic removal of items. RESULTS SCCAI data for 516 UC patients (41 years, SD = 15) treated in Oxford were examined. After initial item deletion (Erythema nodosum, Pyoderma gangrenosum), a 7-item scale was estimated. Discrimination values (information) ranged from 0.41 to 2.52 indicating selected item inefficiency with three items < 1.70 which is a suggested discriminatory value for optimal efficiency. Systematic item deletions found that a 4-item scale (bowel frequency day; bowel frequency nocturnal; urgency to defaecation; rectal bleeding) was more informative and discriminatory of trait severity (discrimination values of 1.50 to 2.78). The 4-item scale possesses higher scalability and unidimensionality, suggesting that the responses to items are either direct endorsement (patient selection by symptom) or non-endorsement of the trait (disease activity). CONCLUSION Reduction of the SCCAI from the original 9-item scale to a 4-item scale provides optimum trait information that will minimise response burden. This new 4-item scale needs validation against other measures of disease activity such as faecal calprotectin, endoscopy and histopathology.
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Affiliation(s)
- Alissa Walsh
- Translational Gastroenterology Unit, NIHR Oxford Biomedical Research Centre, Nuffield Department of Experimental Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK.
| | - Rena Cao
- Translational Gastroenterology Unit, NIHR Oxford Biomedical Research Centre, Nuffield Department of Experimental Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Darren Wong
- Translational Gastroenterology Unit, NIHR Oxford Biomedical Research Centre, Nuffield Department of Experimental Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Ramona Kantschuster
- Translational Gastroenterology Unit, NIHR Oxford Biomedical Research Centre, Nuffield Department of Experimental Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Lawrence Matini
- Translational Gastroenterology Unit, NIHR Oxford Biomedical Research Centre, Nuffield Department of Experimental Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Jean Wilson
- Translational Gastroenterology Unit, NIHR Oxford Biomedical Research Centre, Nuffield Department of Experimental Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | | | - Matthew South
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Simon Travis
- Translational Gastroenterology Unit, NIHR Oxford Biomedical Research Centre, Nuffield Department of Experimental Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK
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