dc.contributor.author | Ricci-Cabello, I | |
dc.contributor.author | Stevens, S | |
dc.contributor.author | Dalton, ARH | |
dc.contributor.author | Griffiths, RI | |
dc.contributor.author | Campbell, JL | |
dc.contributor.author | Valderas, JM | |
dc.date.accessioned | 2018-05-31T08:15:27Z | |
dc.date.issued | 2017-02-19 | |
dc.description.abstract | OBJECTIVE: To study the relationships between the different domains of quality of primary health care for the evaluation of health system performance and for informing policy decision making. DATA SOURCES: A total of 137 quality indicators collected from 7,607 English practices between 2011 and 2012. STUDY DESIGN: Cross-sectional study at the practice level. Indicators were allocated to subdomains of processes of care ("quality assurance," "education and training," "medicine management," "access," "clinical management," and "patient-centered care"), health outcomes ("intermediate outcomes" and "patient-reported health status"), and patient satisfaction. The relationships between the subdomains were hypothesized in a conceptual model and subsequently tested using structural equation modeling. PRINCIPAL FINDINGS: The model supported two independent paths. In the first path, "access" was associated with "patient-centered care" (β = 0.63), which in turn was strongly associated with "patient satisfaction" (β = 0.88). In the second path, "education and training" was associated with "clinical management" (β = 0.32), which in turn was associated with "intermediate outcomes" (β = 0.69). "Patient-reported health status" was weakly associated with "patient-centered care" (β = -0.05) and "patient satisfaction" (β = 0.09), and not associated with "clinical management" or "intermediate outcomes." CONCLUSIONS: This is the first empirical model to simultaneously provide evidence on the independence of intermediate health care outcomes, patient satisfaction, and health status. The explanatory paths via technical quality clinical management and patient centeredness offer specific opportunities for the development of quality improvement initiatives. | en_GB |
dc.description.sponsorship | The authors conducted this work supported through their employment at their respective institutions and through a personal fellowship, as detailed below:•Ignacio Ricci-Cabello, Sarah Stevens, Robert Griffiths, and Andrew Dalton were sup-ported through their employment at the Nuffield Department of Primary Health CareSciences (University of Oxford).•John Campbell was supported through his employment at the University of ExeterMedical School.•Jose M. Valderas was supported through a National Institute of Health Research(NIHR) Clinician Scientist Award (NIHR/CS/010/024) | en_GB |
dc.identifier.citation | Vol. 53, pp. 430 - 449 | en_GB |
dc.identifier.doi | 10.1111/1475-6773.12666 | |
dc.identifier.uri | http://hdl.handle.net/10871/33024 | |
dc.language.iso | en | en_GB |
dc.publisher | Wiley | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/28217876 | en_GB |
dc.subject | Primary health care | en_GB |
dc.subject | clinical quality | en_GB |
dc.subject | health care | en_GB |
dc.subject | patient experience | en_GB |
dc.subject | quality indicators | en_GB |
dc.subject | quality of health care | en_GB |
dc.subject | technical quality of care | en_GB |
dc.title | Identifying primary care pathways from quality of care to outcomes and satisfaction using structural equation modeling | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2018-05-31T08:15:27Z | |
dc.identifier.issn | 0017-9124 | |
exeter.place-of-publication | United States | en_GB |
dc.description | This is the author accepted manuscript. The final version is available from the publisher via the DOI in this record | en_GB |
dc.identifier.journal | Health Services Research | en_GB |