Observational Risk Assessment of Contractures: Longitudinal Evaluation (ORACLE) quantitative data

Tariq, Hina; Collins, Kathryn; Dunn, Joel; Porter, Sam

Observational Risk Assessment of Contractures: Longitudinal Evaluation (ORACLE) quantitative data

Tools

Tariq, Hina, Collins, Kathryn, Dunn, Joel and Porter, Sam (2025) Observational Risk Assessment of Contractures: Longitudinal Evaluation (ORACLE) quantitative data.

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.

Dataset Details

Research / Data Type:

Database

Creators:

Creators	Email
Tariq, Hina	htariq@bournemouth.ac.uk
Collins, Kathryn	kcollins@bournemouth.ac.uk
Dunn, Joel	Joel.Dunn1@nhs.net
Porter, Sam	porters@bournemouth.ac.uk

Groups:

Faculty of Health & Social Sciences

Collection period:

From	To
September 2023	September 2024

Date:

28 October 2025

Date type:

Publication

Geographic coverage:

Dorset, UK

Data collection method:

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.

Statement on legal, ethical and access issues:

The risk of disclosing participants' identities was mitigated by removing any identifying information.

Funder name(s):

Bournemouth University, Dorset Healthcare University Foundation Trust

Grant reference number(s):

RED ID:10985

Keywords:

contracture, care homes, long-term care, nursing homes, joint mobility

Status:

Published

Publisher:

Bournemouth University

Hina Tariq (htariq@bournemouth.ac.uk), Kathryn Collins (kcolllins@bournemouth.ac.uk), Sam Porter (porters@bournemouth.ac.uk)

Contact email address:

bordar@bournemouth.ac.uk

Record Details

Available Files

Full Archive

Data anonymised.sav

Related Resources

Development, Va ... he ORACLE study

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DOI:	https://doi.org/10.18746/bmth.data.00000491
Depositing User:	Hina Tariq
Year Deposited:	28 Oct 2025 13:30
Revision:	14
Last Modified:	28 Oct 2025 13:31