Cargando…
Relationship between patient experience and hospital readmission: system-level survey with deterministic data linkage method
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 readm...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306034/ https://www.ncbi.nlm.nih.gov/pubmed/35864472 http://dx.doi.org/10.1186/s12874-022-01677-8 |
_version_ | 1784752458016227328 |
---|---|
author | Wong, Eliza Lai-Yi Poon, Chin-Man Cheung, Annie Wai-Ling Chen, Frank Youhua Yeoh, Eng-Kiong |
author_facet | Wong, Eliza Lai-Yi Poon, Chin-Man Cheung, Annie Wai-Ling Chen, Frank Youhua Yeoh, Eng-Kiong |
author_sort | Wong, Eliza Lai-Yi |
collection | PubMed |
description | 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 (X(2) = 6.931, p-value = 0.14) and score for overall inpatient experience (X(2) = 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. |
format | Online Article Text |
id | pubmed-9306034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93060342022-07-23 Relationship between patient experience and hospital readmission: system-level survey with deterministic data linkage method Wong, Eliza Lai-Yi Poon, Chin-Man Cheung, Annie Wai-Ling Chen, Frank Youhua Yeoh, Eng-Kiong BMC Med Res Methodol Research 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 (X(2) = 6.931, p-value = 0.14) and score for overall inpatient experience (X(2) = 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. BioMed Central 2022-07-21 /pmc/articles/PMC9306034/ /pubmed/35864472 http://dx.doi.org/10.1186/s12874-022-01677-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wong, Eliza Lai-Yi Poon, Chin-Man Cheung, Annie Wai-Ling Chen, Frank Youhua Yeoh, Eng-Kiong Relationship between patient experience and hospital readmission: system-level survey with deterministic data linkage method |
title | Relationship between patient experience and hospital readmission: system-level survey with deterministic data linkage method |
title_full | Relationship between patient experience and hospital readmission: system-level survey with deterministic data linkage method |
title_fullStr | Relationship between patient experience and hospital readmission: system-level survey with deterministic data linkage method |
title_full_unstemmed | Relationship between patient experience and hospital readmission: system-level survey with deterministic data linkage method |
title_short | Relationship between patient experience and hospital readmission: system-level survey with deterministic data linkage method |
title_sort | relationship between patient experience and hospital readmission: system-level survey with deterministic data linkage method |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9306034/ https://www.ncbi.nlm.nih.gov/pubmed/35864472 http://dx.doi.org/10.1186/s12874-022-01677-8 |
work_keys_str_mv | AT wongelizalaiyi relationshipbetweenpatientexperienceandhospitalreadmissionsystemlevelsurveywithdeterministicdatalinkagemethod AT poonchinman relationshipbetweenpatientexperienceandhospitalreadmissionsystemlevelsurveywithdeterministicdatalinkagemethod AT cheunganniewailing relationshipbetweenpatientexperienceandhospitalreadmissionsystemlevelsurveywithdeterministicdatalinkagemethod AT chenfrankyouhua relationshipbetweenpatientexperienceandhospitalreadmissionsystemlevelsurveywithdeterministicdatalinkagemethod AT yeohengkiong relationshipbetweenpatientexperienceandhospitalreadmissionsystemlevelsurveywithdeterministicdatalinkagemethod |