Objective To investigate the current status of health behavioral decision-making in ischemic stroke patients and analyze its influencing factors.Methods Totally 250 ischemic stroke patients were selected from 2 hospitals in Zhengzhou and Anyang from February to May 2023.A general information questionnaire,Behavioral Decision-Making Scale for Stroke Patients,Recurrence Risk Perception Scale for Patients with Stroke,and Stroke Self-Efficacy Questionnaire were used to conduct the questionnaire survey.Results The Behavioral Decision-Making Scale for Stroke Patients score of 229 ischemic stroke patients was(117.83±7.15)scores.The results of multiple linear regression analysis showed that occupational status,glycemic compliance,primary caregiver,current symptoms,stroke self-efficacy,and recurrence risk perception were the influencing factors of health behavioral decision making in ischemic stroke patients(P＜0.05).Conclusion The health behavioral decision making of ischemic stroke patients is at an upper-middle level.Individualized interventions can be carried out for patients with different characteristics to promote the patients'ability to behavior decision making and the formation of preventive behaviors.

Purpose: To understand the recurrence risk perception of stroke patients and develop a chain mediation model of recurrence risk perception and health behavior. Methods: A cross-sectional study and convenience sampling were used. Stroke survivors were recruited from the neurology departments of three tertiary hospitals. Their recurrence risk perception, behavioral decision-making, social support, self-efficacy, recurrence worry, and health behavior were measured by relevant tools. Data was analyzed through one-way analysis and regression analysis, and the AMOS 21.0 software was used to explore the mediating relationships between variables. Results: Of the 419 participants, 74.7% were aware of stroke recurrence risk. However, only 28.2% could accurately estimate their own recurrence risk. Recurrence risk perception was significantly correlated with behavioral decision-making, social support, self-efficacy, and health behavior (r = .19 ∼ .50, p < .05). Social support and recurrence risk perception could affect health behavior indirectly through self-efficacy, behavioral decision-making, and worry. Behavioral decision-making acted as a main mediator between recurrence risk perception and health behavior, while the path coefficient was .47 and .37, respectively. The chain mediation effect between recurrence risk perception and health behavior was established with a total effect value of .19 (p < .01). Conclusion Most stroke survivors could be aware of recurrence risk but failed to accurately estimate their individual risk. In the mediation model of recurrence risk perception and health behavior, social support seemed to be an important external factor, while self-efficacy, behavioral decision-making, and worry seemed to act as key internal factors.

Purpose: To understand the recurrence risk perception of stroke patients and develop a chain mediation model of recurrence risk perception and health behavior. Methods: A cross-sectional study and convenience sampling were used. Stroke survivors were recruited from the neurology departments of three tertiary hospitals. Their recurrence risk perception, behavioral decision-making, social support, self-efficacy, recurrence worry, and health behavior were measured by relevant tools. Data was analyzed through one-way analysis and regression analysis, and the AMOS 21.0 software was used to explore the mediating relationships between variables. Results: Of the 419 participants, 74.7% were aware of stroke recurrence risk. However, only 28.2% could accurately estimate their own recurrence risk. Recurrence risk perception was significantly correlated with behavioral decision-making, social support, self-efficacy, and health behavior (r = .19 ∼ .50, p < .05). Social support and recurrence risk perception could affect health behavior indirectly through self-efficacy, behavioral decision-making, and worry. Behavioral decision-making acted as a main mediator between recurrence risk perception and health behavior, while the path coefficient was .47 and .37, respectively. The chain mediation effect between recurrence risk perception and health behavior was established with a total effect value of .19 (p < .01). Conclusion Most stroke survivors could be aware of recurrence risk but failed to accurately estimate their individual risk. In the mediation model of recurrence risk perception and health behavior, social support seemed to be an important external factor, while self-efficacy, behavioral decision-making, and worry seemed to act as key internal factors.

Purpose: To understand the recurrence risk perception of stroke patients and develop a chain mediation model of recurrence risk perception and health behavior. Methods: A cross-sectional study and convenience sampling were used. Stroke survivors were recruited from the neurology departments of three tertiary hospitals. Their recurrence risk perception, behavioral decision-making, social support, self-efficacy, recurrence worry, and health behavior were measured by relevant tools. Data was analyzed through one-way analysis and regression analysis, and the AMOS 21.0 software was used to explore the mediating relationships between variables. Results: Of the 419 participants, 74.7% were aware of stroke recurrence risk. However, only 28.2% could accurately estimate their own recurrence risk. Recurrence risk perception was significantly correlated with behavioral decision-making, social support, self-efficacy, and health behavior (r = .19 ∼ .50, p < .05). Social support and recurrence risk perception could affect health behavior indirectly through self-efficacy, behavioral decision-making, and worry. Behavioral decision-making acted as a main mediator between recurrence risk perception and health behavior, while the path coefficient was .47 and .37, respectively. The chain mediation effect between recurrence risk perception and health behavior was established with a total effect value of .19 (p < .01). Conclusion Most stroke survivors could be aware of recurrence risk but failed to accurately estimate their individual risk. In the mediation model of recurrence risk perception and health behavior, social support seemed to be an important external factor, while self-efficacy, behavioral decision-making, and worry seemed to act as key internal factors.

Objective To systematically evaluate the medication experience of patients with chronic multimorbidities and to provide a reference for developing precise intervention programs to improve the medication experience of patients with chronic multimorbidities.Methods PubMed,Cochrane Library,Web of Science,Embase,CINAHL,PsycINFO,CNKI,Wanfang database,VIP database,and Chinese biomedical literature database were searched from the year of database establishment to October 2022,and qualitative studies on medication experiences of patients with chronic multimorbidities were retrieved.The Joanna Briggs Institute Critical Appraisal Tool for qualitative research(2016)in Australia was used to evaluate quality of the studies.A meta-synthesis method was used to integrate the results.Results A total of 11 articles were included,and 56 research results were extracted and integrated into 12 new categories,which were summarized into 4 integrated results:poor sensory experience of drugs,negative emotional and related experiences,reflective and behavioral experiences,and multi-dimensional debugging to improve medication experience.Conclusion The medication experience of patients with chronic multimorbidities should receive extensive attention from society and medical workers,and future research should be conducted to improve the level of patients'medication experience in 5 dimensions,including sensory experience,emotional experience,reflective experience,behavioral experience and associative experience,so as to provide a basis for further improving the medication experience of patients with chronic multimorbidities in China.

With the rapid development of information and communication technology and the internet, the application of telemental health services has become more and more extensive. This paper introduces the concept and development of telemental health, and expounds the mode and setting of telemental health services abroad. This paper focuses on the review of the implementation methods and application effects of foreign telemental health services in the rehabilitation of stroke patients, so as to provide a reference for the clinical development of telemental health services in China to promote the rehabilitation of stroke patients.

Objective: To compare the stress distribution of different all-ceramic restoration materials and thicknesses in dental crown restorations using the finite element method and provide a reference for the selection and design of clinical crown restoration materials. Methods: A finite element model of mandibular first molar implant crown restoration was created, and 6 crown thickness designs and 4 different crown restoration materials were evaluated, namely, resin-based ceramics (Lava Ultimate and Vita Enamic), lithium disilicate glass-ceramics (IPS e.max CAD), and zirconia ceramic (Cercon) designs. The mandibular first molars were loaded at 600 N, and the stress distribution was analyzed by using the finite element software ANSYS 10.0. Results: The crown stress analysis showed that 156.05 MPa was the highest in 4 mm Cercon group and 18.85 MPa was the lowest in 1 mm Lava Ultimate group. The stress analysis of resin cement showed that 62.52 MPa was the highest in the 4 mm Lava Ultimate group and 16.74 MPa was the lowest in 1 mm IPS e.max CAD group. During the use of the finished platform, the stress concentration of the Lava Ultimate group in the crown prosthesis and resin cement was higher than that of the personalized platform with the same crown thickness. Conclusion With increasing crown thickness, the maximum principal stress concentration in crown restoration and resin cement increases. Personalized abutments are more conducive to reducing stress concentrations for resin-based ceramics.

Objective: To analyze the effects of different restorations and the thickness of the occlusal space on the stress distribution of endodontically treated molars with endocrowns. Methods : The finite element model of the restoration of the first mandibular molar was created, and four different endocrown materials were used including two resin based ceramics (Lava Ultimate, Vita Enamic), one lithium disilicate ceramic (IPS e.max CAD) and one zirconia ceramics (Cercon), and four kinds of surface space thickness were designed: 1 mm, 2 mm, 3 mm and 4 mm. A total of 600 N was loaded to simulate the maximum bite force in the vertical and inclined directions, and the finite element software ANSYS 10.0 was used to analyze the stress distribution Results: The vertical loading analysis showed that the crown stress of the 1 mm-Cercon group was the highest at 211.30 MPa, and that of the 4 mm-Lava Ultimate group was the lowest at 11.56 MPa; the highest dentin stress was 38.84 MPa in the 3 mm-Lava Ultimate group, and the lowest was 11.68 MPa in 1 mm-Cercon group. The stress in the periodontal ligament and alveolar bone had little change. The inclined loading analysis showed that the crown stress of the 1 mm-Cercon group was the highest at 78.73 MPa and that of the 1 mm-Lava Ultimate group was the lowest at 35.51 MPa; the highest dentin stress was 41.63 MPa in the 1 mm-Cercon cervical group, and the lowest was 10.81 MPa in the 4 mm-Cercon coronal group. The stress concentration of cement and cervical dentin under inclined loading was higher than that under vertical loading. Conclusion The results of finite element analysis show that the elastic modulus of the endocrown increases, the stress of the crown restoration shows an upward trend, and the stress in the tooth shows a downward trend. With increasing crown thickness, the stress of the crown prosthesis decreased.

Objective To explore the impact of WeChat-assisted follow-up on self-administer medication capability of stroke survivors.Methods Seventy patients were recruited from a tertiary hospital and randomly divided into intervention group (n=35) and control group (n=35).Patients in intervention group were given WeChat-assisted follow-up including health education program and behavior guidance,and patients in control group received regular discharge care.The effects of WeChat-assisted follow-up and regular care on self-administer medication ability,cognitive and behavior level were assessed.Results After three months' follow-up,the scores of self-administer medication capability (38 (32,42)),experience (25 (20,28) and the integral level (87 (71,92)) in intervention group were significantly higher than those in control group (capability 25(16,38),experience 21 (8.75,27),total score 68 (38,87)) (Z=-2.511,-2.033,-2.209,P＜0.05).The self-administer medication experience,cognitive,capability and total scores increased significantly in intervention group after intervention(Z=-4.525,-4.610,-3.806,-4.718,all P＜ 0.01),while only the cognitive level increased slightly in control group (18 (10,24) vs 13 (11,18),Z =-1.794,P=0.073).Conclusions Follow-up intervention based on WeChat platform can improve the stroke patients' self-administration medication capability,however,the long-term effects on cognitive level and further reform need to be strengthened.

Objective To establish a nursing shared governance model and compare the difference of structural empowerment level between participants and non-participants. Methods Convenient sampling method was used and a total of 583 clinical nurses were investigated by structural empowerment questionnaire. Results Independent sample t test showed no difference in gender, age, and working years between observation group(228) and control group(355) (P>0.01); Pre-test showed no difference between two groups, after one year application, structural empowerment level showed significant difference between observation group (3.73 ± 0.66) and control group(3.10 ± 0.56) (t=3.624,P<0.01). Structural empowerment level increased in both groups(t=-3.482,-14.346, P<0.01). Conclusions Shared governance model is effective in evaluating nurses′structural empowerment level.