eprintid: 10205955 rev_number: 6 eprint_status: archive userid: 699 dir: disk0/10/20/59/55 datestamp: 2025-03-12 10:37:39 lastmod: 2025-03-12 10:37:39 status_changed: 2025-03-12 10:37:39 type: article metadata_visibility: show sword_depositor: 699 creators_name: Wright, Alison J creators_name: Finnerty Mutlu, Ailbhe N creators_name: Norris, Emma creators_name: Marques, Marta M creators_name: Hastings, Janna creators_name: West, Robert creators_name: Michie, Susan title: Development of an Intervention Population Ontology for specifying the characteristics of intervention participants ispublished: pub divisions: UCL divisions: B02 divisions: C07 divisions: D05 divisions: D12 divisions: F66 divisions: J96 keywords: Ontology, human populations, intervention, behavioural science, reproducibility of results note: Copyright: © 2025 Wright AJ et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. abstract: Background: The uptake, effectiveness and generalisability of interventions are influenced by the features of the populations targeted. However, populations exposed to interventions are not consistently specified in published reports. Purpose: To create an Intervention Population Ontology providing a clear, usable and reliable classification system to specify characteristics of populations exposed to interventions. Methods: The Intervention Population Ontology was developed in seven main stages 1) Defining the ontology’s scope, (2) identifying key entities by reviewing existing classification systems (top-down) and 100 intervention reports (bottom-up), 3) Refining the preliminary ontology by annotating ~150 intervention reports, 4) Stakeholder review by 29 behavioural science and public health experts, 5) Assessing inter-rater reliability of using the ontology by two coders familiar with the ontology and two coders unfamiliar with it, 6) Specifying ontological relationships between entities in the ontology and 7) making the Intervention Population Ontology machine-readable using Web Ontology Language (OWL) and publishing online. Results: The Intervention Population Ontology features 218 entities representing attributes of human individuals across 12 key groupings: personal attributes, geographic location, person, quality, mental capability, role, expertise, objects possessed, behaviour, personal vulnerability and personal history. It has a further 666 classes relating to how individual-level attributes are aggregated to describe groups of people. Inter-rater reliability was α=0.79 for coders familiar with the ontology and 0.85 for coders unfamiliar with the ontology. Conclusions: The Intervention Population Ontology can be applied to specify precisely information from diverse sources, annotate population characteristics in existing intervention evaluation reports and guide future reporting. date: 2025-03-05 date_type: published publisher: F1000 Research Ltd official_url: https://doi.org/10.12688/wellcomeopenres.22788.1 oa_status: green full_text_type: pub language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 2368723 doi: 10.12688/wellcomeopenres.22788.1 lyricists_name: Wright, Alison lyricists_name: Michie, Susan lyricists_name: West, Robert lyricists_id: AWRIG61 lyricists_id: SFMIC21 lyricists_id: RJWES36 actors_name: Michie, Susan actors_name: Massoura, Amelia actors_id: SFMIC21 actors_id: AMASS35 actors_role: owner actors_role: impersonator full_text_status: public publication: Wellcome Open Research volume: 10 article_number: 122 issn: 2398-502X citation: Wright, Alison J; Finnerty Mutlu, Ailbhe N; Norris, Emma; Marques, Marta M; Hastings, Janna; West, Robert; Michie, Susan; (2025) Development of an Intervention Population Ontology for specifying the characteristics of intervention participants. Wellcome Open Research , 10 , Article 122. 10.12688/wellcomeopenres.22788.1 <https://doi.org/10.12688/wellcomeopenres.22788.1>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10205955/1/cded3a29-7731-4f38-90b5-b9a06c3c0524_22788_-_alison_j_wright.pdf