491 17 2541 3 8874 document 2541 Data anonymised.sav application/octet-stream 798850e0ef51688078d3579484935ec8 MD5 43277 2025-10-21 08:52:25 https://bordar.bournemouth.ac.uk/491/1/Data%20anonymised.sav 491 1 1 application/octet-stream other ORACLE Quantitative data en public cc_by_nd_4

Data anonymised.sav

full_archive archive 5358 disk0/00/00/04/91 2025-10-28 13:30:46 2025-11-05 14:19:35 2025-10-28 13:30:46 data_collection show Tariq Hina htariq@bournemouth.ac.uk Collins Kathryn kcollins@bournemouth.ac.uk Dunn Joel Joel.Dunn1@nhs.net Porter Sam porters@bournemouth.ac.uk pub ihcs contracture, care homes, long-term care, nursing homes, joint mobility ORACLE is a contracture risk assessment tool developed through a systematic review and a Delphi expert consensus survey as part of a match-funded PhD collaboration between Dorset Healthcare and Bournemouth University. ORACLE is designed to identify individuals at risk of developing contractures, support early intervention, and ultimately improve outcomes for care home residents.  The data on ORACLE was collected between September 2023 and September 2024 from eight care homes located in Dorset. This study is nested within a larger multi-phase and mixed methods research project (Trial registration: ClinicalTrials.gov NCT06042907). The study builds evaluated the initial psychometric properties of ORACLE, including its convergent validity, intra- and inter-rater reliability, floor and ceiling effects and a threshold score to guide care staff in initiating referrals. 2025-10-28 published Bournemouth University 10.18746/bmth.data.00000491 Database Hina Tariq (htariq@bournemouth.ac.uk) Kathryn Collins (kcolllins@bournemouth.ac.uk) Sam Porter (porters@bournemouth.ac.uk) bordar@bournemouth.ac.uk Principal Investigator Tariq Hina htariq@bournemouth.ac.uk pub https://doi.org/10.1080/09638288.2022.2071480 DOI https://www.tandfonline.com/doi/full/10.1080/09638288.2022.2071480 pub Taylor and Francis pub submitted pub https://doi.org/10.1177/02692155241229285 DOI https://journals.sagepub.com/doi/10.1177/02692155241229285 pub Sage pub https://doi.org/10.1136/bmjoq-2024-002923 DOI https://bmjopenquality.bmj.com/content/13/4/e002923 pub BMJ Group thesis submitted Bournemouth University Bournemouth University Dorset Healthcare University Foundation Trust RED ID:10985 Data collection procedure  Care home staff received a short training session covering education on contractures21 and the use of the assessment tools prior to the data collection.  A senior staff member completed the screening document to assess the eligibility of the residents. Following consent, a senior staff member completed a general demographic questionnaire asking for personal and health-related information about the resident (e.g., age, gender, pre-existing contractures, location of contractures, co-morbidities, etc.).  Thereafter, BI was completed by senior staff while the healthcare assistants (HCAs) conducted the ORACLE assessments. Outcomes  Construct Validity: This refers to the extent to which an outcome measure reflects the theoretical construct it intends to assess. Convergent validity, a subtype of construct validity, indicates the degree to which two tools measuring similar constructs correlate. In this study, convergent validity was assessed by comparing ORACLE scores with the modified BI, a standard measure of physical disability and assessment of performance in ADLs.  Reliability: Reliability refers to the consistency or repeatability of a measure. Intra-rater reliability examines how consistently a single rater scores a measure across time points, assuming no clinical change occurs between the observations. This was tested by HCAs administering ORACLE twice to the same resident during a single shift (morning and evening), with the item order shuffled in the second assessment form to reduce the learning effects and bias. Inter-rater reliability assesses consistency between two different raters scoring the same participant. Both observations were made on the same day to ensure no clinical change occurred in the resident’s condition.  Floor and Ceiling Effects: These occur when values of the dataset cluster at the extreme ends of a scale. The presence of these reflects limited content validity and suggests an inability to discriminate between the participants’ conditions who score at extremes, thereby reducing the overall reliability of the tool. Dorset, UK The risk of disclosing participants' identities was mitigated by removing any identifying information. 2023-09 2024-09