ArticleBMJ open2018
Care pathway and organisational features driving patient experience: statistical analysis of large NHS datasets.
Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Optimizing Care Trajectories with Artificial Intelligence: A Systematic Review and Meta-Analysis.Asian Pacific journal of cancer prevention : APJCP · 2026Pooled it
- Understanding healthcare professionals' responses to patient complaints in secondary and tertiary care in the UK: A systematic review and behavioural analysis using the Theoretical Domains Framework.Health research policy and systems · 2024Pooled it
- Content Refinement and Multicenter Validation of the ELIGES Patient Experience Questionnaire Focused on Nursing Care During Hospitalization: Study Protocol.Nursing reports (Pavia, Italy) · 2026Article
- Article
- Enhancing primary care through integrated care pathways: a convergence of theory and practice.Frontiers in health services · 2024Article
- The Impact of Patient Experience on Loyalty in the Context of Medical-Aesthetic Health Services.Journal of patient experience · 2023Article
- A reflection on an adapted approach from face-to-face to telephone consultations in our Urology Outpatient Department during the COVID-19 pandemic - a pathway for change to future practice?BJU international · 2020Article
- Creation of a Patient-Centered Journey Map to Improve the Patient Experience: A Mixed Methods Approach.Mayo Clinic proceedings. Innovations, quality & outcomes · 2019Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe aim of this study was to identify the care pathway and organisational factors that predict patient experience.
designStatistical analysis of large National Health Service (NHS) datasets. SETTING ANDPARTICIPANTS: England; acute NHS organisational-level data. PRIMARY AND SECONDARY OUTCOME MEASURES: The relationship of care pathway and organisational variables to organisation-level patient experience.
resultsA framework of 18 care pathway and organisational variables were created based on the existing literature. 11 of these correlated to patient experience in univariate analyses. Multicollinearity tests resulted in 1 of the 11 variables holding a correlation to another variable larger than r=0.70. A significant multilinear regression equation, including the final 10 variables, was found (F(10,108)=6.214, p<0.00), with an [Formula: see text] of 0.365. Two variables were significant in predicting better in patient experience: Amount of support to clinical staff (beta=0.2, p=0.02) and the proportion of staff who would recommend the trust as a place to work or receive treatment (beta=0.26, p=0.01). Two variables were significant in predicting a negative impact on the patient's rating of their experience: Number of patients spending over 4 hours from decision to admit to admission (beta=-1.99, p=0.03) and the percentage of estates and hotel services contracted out (beta=-0.23, p=0.01).
conclusionsThese results indicate that augmenting clinical support and investing in the mechanisms that facilitate positive staff experience is essential to delivering appropriate, informative and patient-centric care. Reducing wait times and the extent of external contracting within hospitals is also likely to improve patient ratings of experience. Understanding the relationship between patient experience and objective, measurable organisational features promote a more patient-centric interpretation of quality and compel a better use of patient experience feedback to drive improvement.
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