PMID- 37917894
OWN - NLM
STAT- Publisher
LR  - 20231102
IS  - 1078-6791 (Print)
IS  - 1078-6791 (Linking)
DP  - 2023 Nov 3
TI  - Examining the Efficacy of a Hierarchical Management Model in Enhancing Nursing 
      Service Quality and Patient Satisfaction.
LID - AT9249 [pii]
AB  - OBJECTIVE: This study investigated the impact of a hierarchical management model 
      on enhancing the quality of nursing services within the nursing department (ND). 
      METHODS: A retrospective comparative cohort study was conducted on outpatients 
      treated at the hospital from January 2021 to December 2022. A total of 68 
      patients admitted from January 2021 to December 2021 were assigned to the control 
      group, while 75 patients admitted from January 2022 to December 2022 were 
      assigned to the observation group. During the study period, a consistent group of 
      nurses was responsible for outpatient care and underwent hierarchical management 
      beginning in January 2022. We compared nursing quality and patient satisfaction 
      between the two groups and documented adverse events (AEs), which included 
      medical disputes and misdiagnoses. The psychological status of the patients was 
      assessed using the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression 
      Scale (SDS). RESULTS: In comparison to the control group, the observation group 
      demonstrated significantly higher scores for nursing quality and patient 
      satisfaction (P < .05) and a lower incidence of AEs (P < .05). Following 
      diagnosis and treatment, the observation group exhibited decreased SAS and SDS 
      scores, significantly lower than the control group (P < .05). CONCLUSIONS: 
      Implementing a hierarchical management model positively impacts nursing quality 
      within the ND and enhances patient satisfaction. Therefore, it is recommended as 
      an effective approach for improving nursing care quality and patient 
      satisfaction.
FAU - Guo, Hui
AU  - Guo H
FAU - Hao, Li
AU  - Hao L
FAU - Pei, Xiaolu
AU  - Pei X
FAU - Guan, Li
AU  - Guan L
FAU - Liu, Lijuan
AU  - Liu L
FAU - He, Hong
AU  - He H
FAU - Zhou, Gexia
AU  - Zhou G
FAU - Yang, Ru
AU  - Yang R
LA  - eng
PT  - Journal Article
DEP - 20231103
PL  - United States
TA  - Altern Ther Health Med
JT  - Alternative therapies in health and medicine
JID - 9502013
SB  - IM
EDAT- 2023/11/02 18:43
MHDA- 2023/11/02 18:43
CRDT- 2023/11/02 16:22
PHST- 2023/11/02 18:43 [medline]
PHST- 2023/11/02 18:43 [pubmed]
PHST- 2023/11/02 16:22 [entrez]
AID - AT9249 [pii]
PST - aheadofprint
SO  - Altern Ther Health Med. 2023 Nov 3:AT9249.