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Published on: March 15, 2024
Information-motivation-behavioral guided nursing for stroke patients with pulmonary dysfunction: A randomized
Xia Peng1, Hui-Qin Ni2, Yong-Mei Liu3
1Department of Respiratory and Critical Care Medicine, Yancheng First Hospital Affiliated to Nanjing University School of Medicine, Yancheng 224006, Jiangsu Province, China.
Information-Motivation-Behavioral (IMB) skills model-based nursing care improved pulmonary function, blood gas levels, and quality of life in stroke patients. This intervention also reduced complication rates, offering a promising approach for stroke patient recovery.
Area of Science:
- Neurology
- Pulmonology
- Nursing Science
Background:
- Stroke patients frequently develop pulmonary dysfunction.
- Pulmonary complications significantly impact patient outcomes and recovery post-stroke.
Purpose of the Study:
- To evaluate the efficacy of Information-Motivation-Behavioral (IMB) skills model-based nursing care.
- To assess the impact on pulmonary function, blood gas indices, complication rates, and quality of life (QoL) in stroke patients with pulmonary dysfunction.
Main Methods:
- A controlled study involving 120 stroke patients with pulmonary dysfunction.
- Intervention group received IMB-model-based nursing care; control group received routine care.
- Assessment of pulmonary function, blood gas indices, complication rates, and QoL pre- and post-intervention.
Main Results:
- The IMB group demonstrated significant improvements in pulmonary function (FEV1, FVC, PEF) compared to the control group.
- Enhanced blood gas indices (PaO2, SaO2) and reduced PaCO2 were observed in the IMB group.
- The intervention group experienced a lower complication rate (6.67% vs. 23.33%) and higher QoL scores.
Conclusions:
- IMB model-based nursing care effectively enhances pulmonary function and blood gas indices in stroke patients.
- This nursing care model reduces complication rates and improves the quality of life for stroke patients with pulmonary dysfunction.
- Further research is recommended to validate findings and explore long-term efficacy and applicability.
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