TY - JOUR
T1 - Patient-reported experience measures for person-centred care: a survey for the development and psychometric testing of a targeted measure, the EPCC-14
AU - Statton, Ryan
AU - Rosenlund, Lena
AU - Close, James
AU - Dencker, Anna
AU - Lloyd, Helen
PY - 2025/12/2
Y1 - 2025/12/2
N2 - Objectives This study aims to develop a robust, targeted measure of patient experiences of person-centred care (PCC), informed by the lived experiences of patients with chronic illness using the psychometric theory of Rasch measurement. Design The Rasch measurement model was used to analyse the psychometric functioning of 57 candidate items and select appropriate items for a targeted measure. Setting Participants were recruited from Prolific.com, having experience of both chronic or long-term illness and first-hand experience of primary or secondary care in the UK healthcare setting and completed a survey containing PCC items and descriptors of healthcare experience. Participants Data from 501 adult persons (49.5% men and 49.7%women) with different types of long-term conditions recruited from the prolific web panel. Results For an initial analysis of all 57 candidate items, there were several indicators of misfit, such as signs of local dependence and multidimensionality. The response options worked as intended according to threshold ordering. After removal of misfitting items and refinement for the best spread of locations, a 14-item solution showed good fit to the Rasch model in this UK sample. Conclusions The results support a unidimensional measurement of patients’ experiences of PCC, once the local dependency was accommodated. The present work thus offers a 14-item measure of PCC experience. The present work also contains a robust item bank for the further development of dynamic computerised adaptive testing.
AB - Objectives This study aims to develop a robust, targeted measure of patient experiences of person-centred care (PCC), informed by the lived experiences of patients with chronic illness using the psychometric theory of Rasch measurement. Design The Rasch measurement model was used to analyse the psychometric functioning of 57 candidate items and select appropriate items for a targeted measure. Setting Participants were recruited from Prolific.com, having experience of both chronic or long-term illness and first-hand experience of primary or secondary care in the UK healthcare setting and completed a survey containing PCC items and descriptors of healthcare experience. Participants Data from 501 adult persons (49.5% men and 49.7%women) with different types of long-term conditions recruited from the prolific web panel. Results For an initial analysis of all 57 candidate items, there were several indicators of misfit, such as signs of local dependence and multidimensionality. The response options worked as intended according to threshold ordering. After removal of misfitting items and refinement for the best spread of locations, a 14-item solution showed good fit to the Rasch model in this UK sample. Conclusions The results support a unidimensional measurement of patients’ experiences of PCC, once the local dependency was accommodated. The present work thus offers a 14-item measure of PCC experience. The present work also contains a robust item bank for the further development of dynamic computerised adaptive testing.
KW - Person centered care
KW - psychometric
KW - Rasch measurement theory
KW - Humans
KW - Middle Aged
KW - Psychometrics
KW - Male
KW - United Kingdom
KW - Patient-Centered Care/standards
KW - Patient Satisfaction
KW - Chronic Disease/therapy
KW - Female
KW - Adult
KW - Surveys and Questionnaires
KW - Aged
KW - Patient Reported Outcome Measures
UR - https://doi.org/10.1136/bmjopen-2024-098050
UR - https://pearl.plymouth.ac.uk/psy-research/1202/
UR - https://www.scopus.com/pages/publications/105023784050
U2 - 10.1136/bmjopen-2024-098050
DO - 10.1136/bmjopen-2024-098050
M3 - Article
C2 - 41338639
SN - 2044-6055
VL - 15
JO - BMJ Open
JF - BMJ Open
IS - 12
M1 - e098050
ER -