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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Association between patient satisfaction and the willingness to return for rehabilitation- A pilot study

Authors: Thao Nguyen Thi Thu;

Association between patient satisfaction and the willingness to return for rehabilitation- A pilot study

Abstract

Background: Patient satisfaction has played an important role in the development of health systems. However, the information on patient satisfaction and the returning of the patients for rehabilitation is limited. This study aims to explore the role of different domains in patient satisfaction with the return for further rehabilitation. Methods: The cross-sectional study was conducted among all 163 patients at Viettiep hospital, Haiphong city, who were treated at different departments but needed a combination of treatment with rehabilitation. The Patient Satisfaction Index (PSI) Questionnaire was applied to record the average score of satisfaction. A multivariate logistic regression was used to determine the association between each domain of the PSI and the return for rehabilitation treatment. Results: Among the PSI scale, the strongest correlation was observed between the attitude of medical staff and the equipment and infrastructure of the hospital (r=0.305). The linear regression model indicated that patient satisfaction was associated significantly with the willingness to return for further rehabilitation (OR= 58.442). There were significant associations between the accessibility, equipment and infrastructure, quality of care and treatment, and cost of treatment with the returning for treatment of the patients. Conclusions: The patient satisfaction regarding individual domains should be considered in more detail in order to enhance the rehabilitation treatment of patients after discharging them from the hospital.

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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).
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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.
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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).
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.
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