Objective:To explore the doctors′ perceived value driving of internet medical services, and provide references for promoting the sustainable development of internet medical services.Methods:From August to December 2023, purposive sampling and typical sampling methods were used to select 23 doctors from 8 tertiary hospitals in a certain province as interviewees for semi-structured interviews. Based on the grounded theory, the interview data were encoded in three levels, and the value motivation model of internet doctors was constructed.Results:Through three-level coding, 68 formal concepts, 17 categories, and 8 main categories. The value motivation model of internet doctors showed that functional value, emotional value and performance value constitute service driven value, and efficiency value and resource value constitute connection driven value, which were the internal driving factors of the doctors′ perceived value; Personal structure factors and platform construction were the external driving factors of the doctors′ perceived value.Conclusions:The doctors′ perceived value driving in internet medical services was the " service-connection" dual drive type. The internal driving factors determined the degree of doctors′ perceived value, while the external driving factors affectted the strength and direction of doctors′ perceived value of internet medical services. It was recommended that relevant departments should promote the release of service driven value through online and offline medical complementarity and the increase of service net utility. Multiple technology embeddings and long tail demand response should be used to create connection driven value. The intensity of value creation should be increased through the two-way adjustment of individual structural factors and the competitive drive of platform construction.

Objective:To explore the doctors′ perceived value driving of internet medical services, and provide references for promoting the sustainable development of internet medical services.Methods:From August to December 2023, purposive sampling and typical sampling methods were used to select 23 doctors from 8 tertiary hospitals in a certain province as interviewees for semi-structured interviews. Based on the grounded theory, the interview data were encoded in three levels, and the value motivation model of internet doctors was constructed.Results:Through three-level coding, 68 formal concepts, 17 categories, and 8 main categories. The value motivation model of internet doctors showed that functional value, emotional value and performance value constitute service driven value, and efficiency value and resource value constitute connection driven value, which were the internal driving factors of the doctors′ perceived value; Personal structure factors and platform construction were the external driving factors of the doctors′ perceived value.Conclusions:The doctors′ perceived value driving in internet medical services was the " service-connection" dual drive type. The internal driving factors determined the degree of doctors′ perceived value, while the external driving factors affectted the strength and direction of doctors′ perceived value of internet medical services. It was recommended that relevant departments should promote the release of service driven value through online and offline medical complementarity and the increase of service net utility. Multiple technology embeddings and long tail demand response should be used to create connection driven value. The intensity of value creation should be increased through the two-way adjustment of individual structural factors and the competitive drive of platform construction.

Objective To investigate functional connectivity between the two hemispheres in patients with positive symptoms of schizophrenia using voxel-mirrored homotopic connectivity ( VMHC ) based on resting-state functional magnetic resonance imaging (rs-fMRI). Methods Eighteen patients with positive symptoms of schizophrenia and 22 healthy controls underwent the rs-fMRI. The whole brain VMHC was calculated in order to provide imaging basis for the study of the pathological mechanism of schizophrenia. Results Compared to the controls, VMHC values were decreased in the bilateral orbitofrontal cortex (t=-5.31, P<0.01), fusiform gyrus (t=-5.16, P<0.01), middle occipital gyrus (t=-5.31, P<0.01) in patients with positive symptoms of schizophrenia. Conclusion The functional coordination between homotopic brain regions is impaired in patients with positive symptoms of schizophrenia .

Objective To provide a new approach to further elucidate the underlying pathogenesis of major depressive disorder by using resting-state functional connectivity strengths(FCS) in unmedicated patients with major depressive disorder(MDD). Methods Thirty-three unmedicated patients with MDD and thirty-three normal controls underwent the resting-state functional magnetic resonance imaging(rs-fMRI). After preprocessing of rs-fMRI, the whole brain FCS values were constructed. Two-sample t-test was used to compare the FCS values of both groups to locate the regions with significant change. And correlation analysis was performed between the FCS values extracted from significantly different brain regions and Hamilton Depression Scale (HAMD24) scores. Results One sample t test had shown that high FCS values brain areas (hubs) of MDD patients and normal controls were mainly located in the default mode network (the prefrontal cortex, anterior cingulate gyrus, posterior cingulate gyrus, precuneus/cuneus, angular gyrus) and parietal cortex, lateral temporal cortex as well as occipital cortex. In comparison to the normal controls, the MDD patients had FCS values significantly decreased in the bilateral posterior cerebellar lobe (right posterior cerebellar t=-4.57, P<0.05;left posterior cerebellar t=-3.40,P<0.05), and FCS values increased in the right superior temporal gyrus (t=3.71,P<0.05) and left anterior insular lobe (t=3.91, P<0.05). There were no significant correlations between the HAMD24 scores and the FCS values in right/left posterior cerebellar (r=0.081, P=0.654; r=-0.028, P=0.877), right superior temporal gyrus (r=0.211, P=0.239) and left anterior insular lobe (r=-0.017,P=0.924). Conclusions These findings suggest abnormal functional connectivity in the bilateral posterior cerebellar lobe, right temporal lobe and left insular lobe in MDD. The FCS analysis may be used as a new research method to explore the pathogenesis of MDD.

Objective To provide a new approach to further elucidate the underlying pathogenesis of major depressive disorder by using resting-state functional connectivity strengths(FCS) in unmedicated patients with major depressive disorder(MDD). Methods Thirty-three unmedicated patients with MDD and thirty-three normal controls underwent the resting-state functional magnetic resonance imaging(rs-fMRI). After preprocessing of rs-fMRI, the whole brain FCS values were constructed. Two-sample t-test was used to compare the FCS values of both groups to locate the regions with significant change. And correlation analysis was performed between the FCS values extracted from significantly different brain regions and Hamilton Depression Scale (HAMD24) scores. Results One sample t test had shown that high FCS values brain areas (hubs) of MDD patients and normal controls were mainly located in the default mode network (the prefrontal cortex, anterior cingulate gyrus, posterior cingulate gyrus, precuneus/cuneus, angular gyrus) and parietal cortex, lateral temporal cortex as well as occipital cortex. In comparison to the normal controls, the MDD patients had FCS values significantly decreased in the bilateral posterior cerebellar lobe (right posterior cerebellar t=-4.57, P<0.05;left posterior cerebellar t=-3.40,P<0.05), and FCS values increased in the right superior temporal gyrus (t=3.71,P<0.05) and left anterior insular lobe (t=3.91, P<0.05). There were no significant correlations between the HAMD24 scores and the FCS values in right/left posterior cerebellar (r=0.081, P=0.654; r=-0.028, P=0.877), right superior temporal gyrus (r=0.211, P=0.239) and left anterior insular lobe (r=-0.017,P=0.924). Conclusions These findings suggest abnormal functional connectivity in the bilateral posterior cerebellar lobe, right temporal lobe and left insular lobe in MDD. The FCS analysis may be used as a new research method to explore the pathogenesis of MDD.