Objective To develop and empirically validate the County Medical and Health Community Organizational Resilience Evaluation Scale to verify its reliability and validity,and to provide a reference for the management practice of organizational resilience in medical and health communities.Methods The health system resilience framework and the dual resilience analysis framework were used as the content framework of this scale,and the initial scale was formed by literature review reference and interviews,and two rounds of correspondence to 21 experts were conducted to form the County Medical and Health Community Organizational Resilience Evaluation Scale.In October-November 2023,the medical staff of six medical and health communities in Zhejiang Province were sampled to conduct the survey,and SPSS 25.0 software was applied to process the data.Results The internal consistency Cronbach's alpha coefficient of the scale was 0.97,and the Cronbach's alpha coefficients of the five dimensions ranged from 0.67～0.92(P＜0.001);the folded half reliability was 0.95,and the alpha coefficients of the two parts were 0.94.The results of the exploratory factor analysis showed that the KMO was 0.95,and that each dimension of the constructed Organizational Resilience Scale and the total score of the scale were positively correlated with the total score of the Strategic Flexibility Scale(P＜0.01).Conclusion The Organizational Resilience Measurement Scale designed has good reliability and reference value,and may provide a tool for assessing organizational resilience in county medical and health communities in the future.

Objective To develop and empirically validate the County Medical and Health Community Organizational Resilience Evaluation Scale to verify its reliability and validity,and to provide a reference for the management practice of organizational resilience in medical and health communities.Methods The health system resilience framework and the dual resilience analysis framework were used as the content framework of this scale,and the initial scale was formed by literature review reference and interviews,and two rounds of correspondence to 21 experts were conducted to form the County Medical and Health Community Organizational Resilience Evaluation Scale.In October-November 2023,the medical staff of six medical and health communities in Zhejiang Province were sampled to conduct the survey,and SPSS 25.0 software was applied to process the data.Results The internal consistency Cronbach's alpha coefficient of the scale was 0.97,and the Cronbach's alpha coefficients of the five dimensions ranged from 0.67～0.92(P＜0.001);the folded half reliability was 0.95,and the alpha coefficients of the two parts were 0.94.The results of the exploratory factor analysis showed that the KMO was 0.95,and that each dimension of the constructed Organizational Resilience Scale and the total score of the scale were positively correlated with the total score of the Strategic Flexibility Scale(P＜0.01).Conclusion The Organizational Resilience Measurement Scale designed has good reliability and reference value,and may provide a tool for assessing organizational resilience in county medical and health communities in the future.

Objective To develop and empirically validate the County Medical and Health Community Organizational Resilience Evaluation Scale to verify its reliability and validity,and to provide a reference for the management practice of organizational resilience in medical and health communities.Methods The health system resilience framework and the dual resilience analysis framework were used as the content framework of this scale,and the initial scale was formed by literature review reference and interviews,and two rounds of correspondence to 21 experts were conducted to form the County Medical and Health Community Organizational Resilience Evaluation Scale.In October-November 2023,the medical staff of six medical and health communities in Zhejiang Province were sampled to conduct the survey,and SPSS 25.0 software was applied to process the data.Results The internal consistency Cronbach's alpha coefficient of the scale was 0.97,and the Cronbach's alpha coefficients of the five dimensions ranged from 0.67～0.92(P＜0.001);the folded half reliability was 0.95,and the alpha coefficients of the two parts were 0.94.The results of the exploratory factor analysis showed that the KMO was 0.95,and that each dimension of the constructed Organizational Resilience Scale and the total score of the scale were positively correlated with the total score of the Strategic Flexibility Scale(P＜0.01).Conclusion The Organizational Resilience Measurement Scale designed has good reliability and reference value,and may provide a tool for assessing organizational resilience in county medical and health communities in the future.

Objective To develop and empirically validate the County Medical and Health Community Organizational Resilience Evaluation Scale to verify its reliability and validity,and to provide a reference for the management practice of organizational resilience in medical and health communities.Methods The health system resilience framework and the dual resilience analysis framework were used as the content framework of this scale,and the initial scale was formed by literature review reference and interviews,and two rounds of correspondence to 21 experts were conducted to form the County Medical and Health Community Organizational Resilience Evaluation Scale.In October-November 2023,the medical staff of six medical and health communities in Zhejiang Province were sampled to conduct the survey,and SPSS 25.0 software was applied to process the data.Results The internal consistency Cronbach's alpha coefficient of the scale was 0.97,and the Cronbach's alpha coefficients of the five dimensions ranged from 0.67～0.92(P＜0.001);the folded half reliability was 0.95,and the alpha coefficients of the two parts were 0.94.The results of the exploratory factor analysis showed that the KMO was 0.95,and that each dimension of the constructed Organizational Resilience Scale and the total score of the scale were positively correlated with the total score of the Strategic Flexibility Scale(P＜0.01).Conclusion The Organizational Resilience Measurement Scale designed has good reliability and reference value,and may provide a tool for assessing organizational resilience in county medical and health communities in the future.

Objective To develop and empirically validate the County Medical and Health Community Organizational Resilience Evaluation Scale to verify its reliability and validity,and to provide a reference for the management practice of organizational resilience in medical and health communities.Methods The health system resilience framework and the dual resilience analysis framework were used as the content framework of this scale,and the initial scale was formed by literature review reference and interviews,and two rounds of correspondence to 21 experts were conducted to form the County Medical and Health Community Organizational Resilience Evaluation Scale.In October-November 2023,the medical staff of six medical and health communities in Zhejiang Province were sampled to conduct the survey,and SPSS 25.0 software was applied to process the data.Results The internal consistency Cronbach's alpha coefficient of the scale was 0.97,and the Cronbach's alpha coefficients of the five dimensions ranged from 0.67～0.92(P＜0.001);the folded half reliability was 0.95,and the alpha coefficients of the two parts were 0.94.The results of the exploratory factor analysis showed that the KMO was 0.95,and that each dimension of the constructed Organizational Resilience Scale and the total score of the scale were positively correlated with the total score of the Strategic Flexibility Scale(P＜0.01).Conclusion The Organizational Resilience Measurement Scale designed has good reliability and reference value,and may provide a tool for assessing organizational resilience in county medical and health communities in the future.

Objective To develop and empirically validate the County Medical and Health Community Organizational Resilience Evaluation Scale to verify its reliability and validity,and to provide a reference for the management practice of organizational resilience in medical and health communities.Methods The health system resilience framework and the dual resilience analysis framework were used as the content framework of this scale,and the initial scale was formed by literature review reference and interviews,and two rounds of correspondence to 21 experts were conducted to form the County Medical and Health Community Organizational Resilience Evaluation Scale.In October-November 2023,the medical staff of six medical and health communities in Zhejiang Province were sampled to conduct the survey,and SPSS 25.0 software was applied to process the data.Results The internal consistency Cronbach's alpha coefficient of the scale was 0.97,and the Cronbach's alpha coefficients of the five dimensions ranged from 0.67～0.92(P＜0.001);the folded half reliability was 0.95,and the alpha coefficients of the two parts were 0.94.The results of the exploratory factor analysis showed that the KMO was 0.95,and that each dimension of the constructed Organizational Resilience Scale and the total score of the scale were positively correlated with the total score of the Strategic Flexibility Scale(P＜0.01).Conclusion The Organizational Resilience Measurement Scale designed has good reliability and reference value,and may provide a tool for assessing organizational resilience in county medical and health communities in the future.

Objective To develop and empirically validate the County Medical and Health Community Organizational Resilience Evaluation Scale to verify its reliability and validity,and to provide a reference for the management practice of organizational resilience in medical and health communities.Methods The health system resilience framework and the dual resilience analysis framework were used as the content framework of this scale,and the initial scale was formed by literature review reference and interviews,and two rounds of correspondence to 21 experts were conducted to form the County Medical and Health Community Organizational Resilience Evaluation Scale.In October-November 2023,the medical staff of six medical and health communities in Zhejiang Province were sampled to conduct the survey,and SPSS 25.0 software was applied to process the data.Results The internal consistency Cronbach's alpha coefficient of the scale was 0.97,and the Cronbach's alpha coefficients of the five dimensions ranged from 0.67～0.92(P＜0.001);the folded half reliability was 0.95,and the alpha coefficients of the two parts were 0.94.The results of the exploratory factor analysis showed that the KMO was 0.95,and that each dimension of the constructed Organizational Resilience Scale and the total score of the scale were positively correlated with the total score of the Strategic Flexibility Scale(P＜0.01).Conclusion The Organizational Resilience Measurement Scale designed has good reliability and reference value,and may provide a tool for assessing organizational resilience in county medical and health communities in the future.

Objective To develop and empirically validate the County Medical and Health Community Organizational Resilience Evaluation Scale to verify its reliability and validity,and to provide a reference for the management practice of organizational resilience in medical and health communities.Methods The health system resilience framework and the dual resilience analysis framework were used as the content framework of this scale,and the initial scale was formed by literature review reference and interviews,and two rounds of correspondence to 21 experts were conducted to form the County Medical and Health Community Organizational Resilience Evaluation Scale.In October-November 2023,the medical staff of six medical and health communities in Zhejiang Province were sampled to conduct the survey,and SPSS 25.0 software was applied to process the data.Results The internal consistency Cronbach's alpha coefficient of the scale was 0.97,and the Cronbach's alpha coefficients of the five dimensions ranged from 0.67～0.92(P＜0.001);the folded half reliability was 0.95,and the alpha coefficients of the two parts were 0.94.The results of the exploratory factor analysis showed that the KMO was 0.95,and that each dimension of the constructed Organizational Resilience Scale and the total score of the scale were positively correlated with the total score of the Strategic Flexibility Scale(P＜0.01).Conclusion The Organizational Resilience Measurement Scale designed has good reliability and reference value,and may provide a tool for assessing organizational resilience in county medical and health communities in the future.

Objective:To explore the influencing factors and implementation paths of medical and preventive integration of chronic disease in county medical communities (CMCs), providing references for further promoting the integration of medical and prevention and improving the collaborative mechanism of medical and prevention.Methods:From October to November 2023, based on the principle of geographically balanced sampling, medical staff from 6 leading hospitals and 18 other member units of 6 CMCs in Zhejiang Province were selected as survey subjects. A self-designed survey questionnaire was conducted, mainly including the development and evaluation of chronic disease medical and preventive integration services in CMCs. The service development was designed according to the collaborative symbiosis management model, including 4 dimensions of collaborative symbiosis scenarios, willingness, ability, and process, as well as 11 secondary elements. Using secondary elements as the conditional variables and the integration effect of chronic disease medical and prevention as the outcome variable, a qualitative comparative analysis method was used to explore the relationship between multiple conditional variables and their combinations with high integration effect of chronic disease medical and prevention.Results:571 valid questionnaires were collected, with an effective response rate of 96.62%. The consistency of a single secondary element(including conditional non sets) on the high effectiveness of medical and preventive integration was less than 0.9, which cannot constitute a necessary condition for explaining the outcome variable. The configuration analysis results showed that the consistency of the condition combination formed by the interaction of multiple secondary elements was 0.835-0.845, indicating that the condition combination of multiple elements constituted a sufficient non necessary condition for the high integration effect of chronic disease medical and prevention. The configuration path for achieving high integration of medical and preventive effects could be divided into four categories, among which the feature of scenario-process dominance was to create a perfect service scenario and service process as the main focus; The characteristic of the willingness-process dominant type was to stimulate the service willingness of medical staff and improve the service process as the leading factor; The characteristic of the scenario-willingness-ability dominant type was to create a comprehensive service scenario, stimulate the service willingness of medical staff, and enhance service capabilities as the main focus; The characteristic of the willingness-ability-process dominant type was to stimulate the service willingness of medical staff, enhance service capabilities, and improve the service process as the dominant factor. In addition, the four types of configuration paths mentioned above all covered the two secondary elements of endogenous dynamics and professional competence, with a total coverage of 0.626 and a total consistency of 0.821.Conclusions:The configuration path formed through the interaction of multiple elements can effectively achieve the integration of chronic disease medical and prevention. The CMCs should choose the appropriate configuration path based on the actual situation. In addition, special attention should be paid to the endogenous motivation and professional capacity building of medical staff.

Objective:To investigate the accurate diagnosis and differential diagnosis of non-primary solid malignant tumors in breast needle core biopsy.Methods:Twenty-three cases of breast, axilla or neck lymph nodes pathologically diagnosed as non-primary solid malignant tumors were collected at the First Affiliated Hospital of Nanjing Medical University, Nanjing, China from January 2013 to March 2023. The differential diagnoses and diagnostic features were analyzed, based on combining clinical data, histology, and expression characteristics of biomarkers.Results:All patients were female, with age ranging from 29 to 75 years (average 56 years). The average time from the diagnosis of primary tumor to the current diagnosis was 21 months (0 to 204 months).The primary sites included the ovary (9 cases), the lung (5 cases), the gastrointestinal tract (4 cases), the pancreas, intrahepatic bile duct, thyroid gland, nasal cavity and forearm skin (1 case each). No carcinoma in situ was found in any of the cases. The morphological differences were significant among the tumors, but similar to the primary tumors. The tumors of neuroendocrine and female reproductive tract had great morphological and immunophenotypic overlaps with breast cancer. Metastatic lung cancer cells showed obvious atypia and tumor giant cells. The morphology and immunophenotype of metastatic serous carcinoma of female reproductive system might resemble invasive micropapillary carcinoma of the breast. Metastatic adenocarcinoma of the gastrointestinal tract often had features of mucous secretion. Metastatic neuroendocrine tumors were bland in appearance and morphologically similar to solid papillary carcinoma of breast, but negative for ER. TRPS1 was mostly negative (18/23) and variably positive in ovarian (4/9) and intrahepatic bile duct (1/1) tumors.Conclusions:The diagnosis of breast needle core biopsy specimen should be combined with clinical history, imaging study, and careful examination of histological features, such as presence of in situ component, morphological similarity between the primary and metastatic tumors, and using appropriate markers to differentiate the primary from metastatic tumors.