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BMC Health Services Research
Article . 2024 . Peer-reviewed
License: CC BY
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BMC Health Services Research
Article . 2024
Data sources: DOAJ
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Quality of care transition, patient safety incidents, and patients’ health status: a structural equation model on the complexity of the discharge process

Authors: Marsall, Matthias; Hornung, Thorsten; Bäuerle, Alexander; Weigl, Matthias;

Quality of care transition, patient safety incidents, and patients’ health status: a structural equation model on the complexity of the discharge process

Abstract

Abstract Background The transition of patients between care contexts poses patient safety risks. Discharges to home from inpatient care can be associated with adverse patient outcomes. Quality in discharge processes is essential in ensuring safe transitions for patients. Current evidence relies on bivariate analyses and neglects contextual factors such as treatment and patient characteristics and the interactions of potential outcomes. This study aimed to investigate the associations between the quality and safety of the discharge process, patient safety incidents, and health-related outcomes after discharge, considering the treatments’ and patients’ contextual factors in one comprehensive model. Methods Patients at least 18 years old and discharged home after at least three days of inpatient treatment received a self-report questionnaire. A total of N = 825 patients participated. The assessment contained items to assess the quality and safety of the discharge process from the patient’s perspective with the care transitions measure (CTM), a self-report on the incidence of unplanned readmissions and medication complications, health status, and sociodemographic and treatment-related characteristics. Statistical analyses included structural equation modeling (SEM) and additional analyses using logistic regressions. Results Higher quality of care transition was related to a lower incidence of medication complications (B = -0.35, p < 0.01) and better health status (B = 0.74, p < 0.001), but not with lower incidence of readmissions (B = -0.01, p = 0.39). These effects were controlled for the influences of various sociodemographic and treatment-related characteristics in SEM. Additional analyses showed that these associations were only constant when all subscales of the CTM were included. Conclusions Quality and safety in the discharge process are critical to safe patient transitions to home care. This study contributes to a better understanding of the complex discharge process by applying a model in which various contextual factors and interactions were considered. The findings revealed that high quality discharge processes are associated with a lower likelihood of patient safety incidents and better health status at home even, when sociodemographic and treatment-related characteristics are taken into account. This study supports the call for developing individualized, patient-centered discharge processes to strengthen patient safety in care transitions.

Keywords

Male, Adult, Health Status, Medizin, Care transitions measure, Patient Readmission, Structural equation model, Medication safety, Transitional safety, Surveys and Questionnaires, Humans, Quality of Health Care, Aged, Research, Middle Aged, Patient Discharge, Latent Class Analysis, Discharge, Female, Patient Safety, Self Report, Surveys and Questionnaires [MeSH] ; Female [MeSH] ; Health Status [MeSH] ; Patient Discharge/standards [MeSH] ; Patient Readmission/statistics ; Transitional safety ; Care transitions measure ; Aged [MeSH] ; Adult [MeSH] ; Self Report [MeSH] ; Humans [MeSH] ; Patient-reported outcomes measures ; Middle Aged [MeSH] ; Structural equation model ; Patient Safety/standards [MeSH] ; Patient-reported experience measure ; Quality of Health Care [MeSH] ; Readmission ; Male [MeSH] ; Discharge ; Research ; Medication safety ; Latent Class Analysis [MeSH], Public aspects of medicine, RA1-1270, Readmission

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
Green
gold