Author:
Wong Eliza Lai-Yi,Poon Chin-Man,Cheung Annie Wai-Ling,Chen Frank Youhua,Yeoh Eng-Kiong
Abstract
Abstract
Background
Linkage of public healthcare data provides powerful resources for studying from a comprehensive view of quality of care than information for a single administrative database. It is believed that positive patient experiences reflect good quality of health care and may reduce patient readmission. This study aimed to determine the relationship between patient experience and hospital readmission at a system level by linking anonymous experience survey data with de-identified longitudinal hospital administrative admissions data.
Methods
Data were obtained by linking two datasets with anonymised individual-level records from seven largest-scale acute public hospitals over seven geographical clusters in Hong Kong. Selected records in the two datasets involving patient experience survey (PES) (2013 survey dataset) and healthcare utilization (admissions dataset) were used. Following data cleaning and standardization, a deterministic data linkage algorithm was used to identify pairs of records uniquely matched for a list of identifiers (10 selected variables) between two datasets. If patient’s record from the survey dataset matched with the hospitalization records in the admissions dataset, they were included in the subsequent analyses. Bivariate analyses and multivariable logistic regression models were performed to evaluate the associations between hospital readmission in the next calendar month and patient experience.
Results
The overall matching rate was 62.1% (1746/2811) for PES participants aged 45 or above from the survey dataset. The average score for overall inpatient experience was 8.10 (SD = 1.53). There was no significant difference between matched patients and unmatched patients in terms of their score for the perception of overall quality of care received during hospitalization (X2 = 6.931, p-value = 0.14) and score for overall inpatient experience (X2 = 7.853, p-value = 0.25). In the multivariable model, readmission through the outpatient department (planned admission) in the next calendar month was significantly associated with a higher score given to the overall quality of care received (adjusted OR = 1.54, 95%CI = 1.09–2.17), while such association was absent for readmission through Accident and Emergency department (adjusted OR = 0.75, 95%CI = 0.50–1.12).
Conclusions
This study demonstrated the feasibility of routine record linkage, with the limited intrusion of patients’ confidentiality, for evaluating health care quality. It also highlights the significant association between readmission through planned readmission and a higher score for overall quality of care received. A possible explanation might be the perceived better co-ordination between outpatient departments and inpatient service and the well-informed discharge plan given to this group of patients.
Publisher
Springer Science and Business Media LLC
Subject
Health Informatics,Epidemiology
Reference28 articles.
1. Bleich SN, Özaltinb E, Murray CJL. How does satisfaction with the health-care system relate to patient experience? Bull World Health Organ 2009; 87: 271–278. PMID: 19551235. https://doi.org/10.2471/BLT.07.050401
2. Anhang Price R, Elliott MN, Zaslavsky AM, Hays RD, Lehrman WG, Rybowski L, et al. Examining the role of patient experience surveys in measuring health care quality. Med Care Res Rev. 2014;71(5):522-554. PMID: 25027409. https://doi.org/10.1177/1077558714541480
3. The Health Foundation. Inspiring Improvement. No.18 Measuring patient experience. The Health Foundation, 2013. https://www.health.org.uk/sites/default/files/MeasuringPatientExperience.pdf
4. Australian Institute of Health and Welfare. Patient experience of health care. Australian Institute of Health and Welfare, 2020. https://www.aihw.gov.au/reports/australias-health/patient-experience-of-health-care Accessed 20 Dec 2020.
5. Wong ELY, Coulter A, Cheung AWL, Yam CHK, Yeoh EK, Griffiths SM. Patient experiences with public hospital care: first benchmark survey in Hong Kong. Hong Kong Med J. 2012;18(5):371-380. PMID: 23018064. https://www.hkmj.org/abstracts/v18n5/371.htm
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