2021
DOI: 10.1186/s12913-021-06520-2
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The situation and influencing factors of outpatient satisfaction in large hospitals: Evidence from Henan province, China

Abstract: Background The level of outpatient satisfaction plays a significant role in improving the quality and utilization of healthcare services. Patient satisfaction gives providers insights into various aspects of services including the effectiveness of care and level of empathy. This study aimed to evaluate the level of patient satisfaction in the outpatient department and to explore its influencing factors in large hospitals (accommodating over 1000 beds) of Henan province, China. … Show more

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Cited by 16 publications
(13 citation statements)
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“…It is noteworthy that among the three factors communication exhibited the greatest prediction. This result aligns well with previous investigations in China ( 37 ). However, other medical service perspectives (i.e., hospital environment, staff attitude, and medical ethics) did not predict patient satisfaction.…”
Section: Discussionsupporting
confidence: 94%
“…It is noteworthy that among the three factors communication exhibited the greatest prediction. This result aligns well with previous investigations in China ( 37 ). However, other medical service perspectives (i.e., hospital environment, staff attitude, and medical ethics) did not predict patient satisfaction.…”
Section: Discussionsupporting
confidence: 94%
“…These results are in line with research that shows high levels of patient satisfaction with medical and nursing services. On the other hand, lower satisfaction rates are recorded concerning the facilities and the administrative services which are connected with the funding and the efficiency of a healthcare system [20].…”
Section: Discussionmentioning
confidence: 99%
“…DMA is an objective evaluation method that compares the evaluation results with the theoretical optimal values [ 37 ]. The dynamic weight can be specific to each secondary evaluation index with the reward and penalty function which reduces the effect of extreme values by assigning larger values to smaller weights [ 38 ]. Because each indicator reflects a dimension of matter, we were able to generate a 12-dimensional matter element R (× 1—× 12) using the findings of the SEM analysis for SPAOA evaluation.…”
Section: Methodsmentioning
confidence: 99%