Objective:To present an evaluation indicator system for access to cancer screening services.Methods:The evaluation indicator pool was constructed through a scoping review. The theoretical framework was constructed based on the multi-source indicators, and the qualitative expert consultation method was employed to form the initial version of the three-level evaluation indicator system. Delphi expert consultation method was conducted in two rounds to evaluate the relevance, importance, and availability of the proposed evaluation indicator system. The expert positive coefficient, authority coefficient, coordination degree of expert opinions, and concentration of expert opinions were subjected to analysis. Subsequently, the three-level evaluation indicator system for access to cancer screening services was adjusted and determined based on the boundary value method and the open opinions of experts. Finally, the combination weight method was employed to determine the weight.Results:The initial version of the indicator system comprised 3 primary (first-level) indicators, 11 secondary (second-level) indicators, and 46 tertiary (third-level) indicators. Delphi expert consultation was conducted for the initial version, and 17 experts ultimately completed it, exhibiting a positive coefficient of 100% and an authority coefficient of 0.87. In comparison to the initial round of consultation, Kendall's W coefficient ranges (0.15-0.43, all P<0.05) of relevance, importance, and availability scores for each tertiary indicator in the second round exhibited an improvement. The analysis of the importance dimension indicates that expert opinions are also more concentrated, as evidenced by an increase of 8.5% and 7.0% in the proportion of the tertiary indicators with an arithmetic mean above 8 and a full mark ratio above 0.5, respectively. The final evaluation indicator system comprises three primary indicators, with the weights of structure evaluation, process evaluation, and outcome evaluation being 0.338, 0.378, and 0.285, respectively. It also comprises 11 secondary indicators and 45 tertiary indicators. Conclusions:The evaluation indicator system developed in this article can be an effective evaluation tool for quantitative comparison of access to cancer screening services across different populations, cancer types, and before and after intervention. Furthermore, it is recommended that the system undergo continuous optimization concerning its application.

A 40-year-old male patient was treated orally with carbamazepine 0.1 g once daily for epilepsy. Twenty days later, the patient developed fever without obvious cause (highest body temperature 39.0 ℃), which showed no improvement after treatments with ribavirin and ibuprofen. Eleven days later, splenomegaly occurred, and serum ferritin was elevated (1 188.18 μg/L). Etiological testing showed positive influenza virus A/B antibody but negative nucleic acid; tests of Epstein-Barr virus, cytomegalovirus, novel coronavirus, respiratory syncytial virus, adenovirus, human rhinovirus, Mycoplasma pneumoniae, Mycobacterium tuberculosis, Leishmania donovani, Brucella, and Toxoplasma gondii all showed negative results. Blood culture and autoantibody profile were both negative. Anti-infective treatments with ceftizoxime, levofloxacin, ganciclovir, and oseltamivir were successively given. Oseltamivir was later changed to peramivir. Eight days later, the patient′s body temperature fluctuated between 38.4 ℃ and 38.6 ℃. Fibrinogen decreased to 1.49 g/L, serum ferritin increased to 1 218.91 μg/L, and soluble CD25 increased to 3 814 kU/L. Bone marrow smear showed hemophagocytosis. Secondary hemophagocytic lymphohistiocytosis was diagnosed, which was considered to be caused by carbamazepine. Carbamazepine and the aforementioned anti-infective drugs were discontinued, and intravenous infusion of dexamethasone 15 mg once daily was administered. The patient′s body temperature decreased to 37.5 ℃. Six days later, intravenous infusion of etoposide 100 mg once was added. The next day, the patient no longer had fever, and laboratory indicators showed significant improvement. The patient′s laboratory indicators returned to normal in re-examination 3 months later.

A 40-year-old male patient was treated orally with carbamazepine 0.1 g once daily for epilepsy. Twenty days later, the patient developed fever without obvious cause (highest body temperature 39.0 ℃), which showed no improvement after treatments with ribavirin and ibuprofen. Eleven days later, splenomegaly occurred, and serum ferritin was elevated (1 188.18 μg/L). Etiological testing showed positive influenza virus A/B antibody but negative nucleic acid; tests of Epstein-Barr virus, cytomegalovirus, novel coronavirus, respiratory syncytial virus, adenovirus, human rhinovirus, Mycoplasma pneumoniae, Mycobacterium tuberculosis, Leishmania donovani, Brucella, and Toxoplasma gondii all showed negative results. Blood culture and autoantibody profile were both negative. Anti-infective treatments with ceftizoxime, levofloxacin, ganciclovir, and oseltamivir were successively given. Oseltamivir was later changed to peramivir. Eight days later, the patient′s body temperature fluctuated between 38.4 ℃ and 38.6 ℃. Fibrinogen decreased to 1.49 g/L, serum ferritin increased to 1 218.91 μg/L, and soluble CD25 increased to 3 814 kU/L. Bone marrow smear showed hemophagocytosis. Secondary hemophagocytic lymphohistiocytosis was diagnosed, which was considered to be caused by carbamazepine. Carbamazepine and the aforementioned anti-infective drugs were discontinued, and intravenous infusion of dexamethasone 15 mg once daily was administered. The patient′s body temperature decreased to 37.5 ℃. Six days later, intravenous infusion of etoposide 100 mg once was added. The next day, the patient no longer had fever, and laboratory indicators showed significant improvement. The patient′s laboratory indicators returned to normal in re-examination 3 months later.

Objective:To present an evaluation indicator system for access to cancer screening services.Methods:The evaluation indicator pool was constructed through a scoping review. The theoretical framework was constructed based on the multi-source indicators, and the qualitative expert consultation method was employed to form the initial version of the three-level evaluation indicator system. Delphi expert consultation method was conducted in two rounds to evaluate the relevance, importance, and availability of the proposed evaluation indicator system. The expert positive coefficient, authority coefficient, coordination degree of expert opinions, and concentration of expert opinions were subjected to analysis. Subsequently, the three-level evaluation indicator system for access to cancer screening services was adjusted and determined based on the boundary value method and the open opinions of experts. Finally, the combination weight method was employed to determine the weight.Results:The initial version of the indicator system comprised 3 primary (first-level) indicators, 11 secondary (second-level) indicators, and 46 tertiary (third-level) indicators. Delphi expert consultation was conducted for the initial version, and 17 experts ultimately completed it, exhibiting a positive coefficient of 100% and an authority coefficient of 0.87. In comparison to the initial round of consultation, Kendall's W coefficient ranges (0.15-0.43, all P<0.05) of relevance, importance, and availability scores for each tertiary indicator in the second round exhibited an improvement. The analysis of the importance dimension indicates that expert opinions are also more concentrated, as evidenced by an increase of 8.5% and 7.0% in the proportion of the tertiary indicators with an arithmetic mean above 8 and a full mark ratio above 0.5, respectively. The final evaluation indicator system comprises three primary indicators, with the weights of structure evaluation, process evaluation, and outcome evaluation being 0.338, 0.378, and 0.285, respectively. It also comprises 11 secondary indicators and 45 tertiary indicators. Conclusions:The evaluation indicator system developed in this article can be an effective evaluation tool for quantitative comparison of access to cancer screening services across different populations, cancer types, and before and after intervention. Furthermore, it is recommended that the system undergo continuous optimization concerning its application.

Objective To explore the relationship between the head injury criterion(HIC)values in anterior-posterior(AP)collisions and lateral-medial(LM)collisions.Methods A total of 102 male SD rats were randomly divided into a control group of 0 m(6 rats),4 AP groups(12 rats/group)and 4 LM groups(12 rats/group).After adaptive training,the classical Marmarou model was used to execute the brain AP and LM collisions under a series of different height impacts,and the HIC values were calculated.The experimental group data of the walk-pole test and grip strength test were collected at 24 hours before and after injury,and the data of the proportion of hemorrhage in the corpus callosum and pyramidal tracts were collected at 24 hours after injury.Results As the collision heights increased in both AP and LM groups,there were positive correlations with changes in WP test time and peak GS,and corresponding increases in the proportion of hemorrhage in the cc and py.According to the mathematical relationships between the comprehensive injury degrees and HIC values,it was found that at the same injury degree,LM-HIC value was less than AP-HIC value.A mathematical relationship between AP-HIC and LM-HIC was fitted based on the comprehensive injury degrees.At the same HIC,LM group experienced more severe injuries,and AP group was more tolerant to head collision.Conclusion The injury severity in LM group is greater than that of AP group at the same HIC.Preliminary results show there is a linear mathematical relationship between AP-HIC and LM-HIC.These results can be expected to expand the application scope of HIC and achieve an accurate assessment of the LM collision severity.

Objective To explore the relationship between the head injury criterion(HIC)values in anterior-posterior(AP)collisions and lateral-medial(LM)collisions.Methods A total of 102 male SD rats were randomly divided into a control group of 0 m(6 rats),4 AP groups(12 rats/group)and 4 LM groups(12 rats/group).After adaptive training,the classical Marmarou model was used to execute the brain AP and LM collisions under a series of different height impacts,and the HIC values were calculated.The experimental group data of the walk-pole test and grip strength test were collected at 24 hours before and after injury,and the data of the proportion of hemorrhage in the corpus callosum and pyramidal tracts were collected at 24 hours after injury.Results As the collision heights increased in both AP and LM groups,there were positive correlations with changes in WP test time and peak GS,and corresponding increases in the proportion of hemorrhage in the cc and py.According to the mathematical relationships between the comprehensive injury degrees and HIC values,it was found that at the same injury degree,LM-HIC value was less than AP-HIC value.A mathematical relationship between AP-HIC and LM-HIC was fitted based on the comprehensive injury degrees.At the same HIC,LM group experienced more severe injuries,and AP group was more tolerant to head collision.Conclusion The injury severity in LM group is greater than that of AP group at the same HIC.Preliminary results show there is a linear mathematical relationship between AP-HIC and LM-HIC.These results can be expected to expand the application scope of HIC and achieve an accurate assessment of the LM collision severity.

Objective To investigate the equivalent conversion of head injury criterion(HIC)under anterior-posterior(AP)and lateral-medial(LM)craniocerebral impact for mild craniocerebral injury in rats using motor evoked potential(MEP)and β-amyloid precursor protein(β-APP)immunohistochemistry(IHC).Methods Sixty healthy adult male SD rats were randomly divided into 0 m control group,0.5 m-AP and 0.5 m-LM injury groups,and 1 m-AP and 1 m-LM injury groups(12 rats in each group).The control group did not undergo any impact injury experiment.After the impact injury experiment,the injury and control groups were subjected to excessive anesthesia to produce β-APP immunohistochemical stained slices,and the percentage of positive area and integral optical density(IOD)in the brainstem pyramidal tract area of the slices were determined.The MEP groups were divided in the same manner as the IHC groups and the MEP amplitudes of the MEP and control groups were measured after the impact injury experiment.Results With an increase in the degree of injury,the decrease in MEP amplitude,percentage of positive areas,and IOD in the injury groups significantly increased.When the degree of injury was low,the sensitivity of IHC was higher than that of MEP.When the degree of injury was the same,the HIC in the LM direction was lower than that in the AP direction.When the HIC was the same,the degree of injury in the LM direction was greater than that in the AP direction.Conclusions The joint evaluation of MEP and β-APP can provide experimental references for the study of HIC equivalent conversion in AP-LM craniocerebral impact injury.

Objective To systematically analyze the World Health Organization Rehabilitation Competency Framework (RCF) theoretical framework, methodology and its application in the field of rehabilitation.Methods We systematically analyzed RCF conceptual framework and key characteristics, and discussed how to apply the RCF in the fields of human resource planning, education program and curriculum system, and vocational competency standards and certification criteria for rehabilitation human resources.Results The RCF encompasses five domains, naming practice, professionalism, learning and development, management and leadership, and research. Rehabilitation professionals' performance is the result of the interaction of their core values and beliefs, competencies, activities, knowledge, and skills. The RCF can be used to plan rehabilitation human resources, establish competency-based rehabilitation education programs and curriculum systems, and develop competency certification standards and licensure accreditation standards.Conclusion This study analyzed background, content and implementation framework of RCF, and systematically discussed the theories and methods related to how to use the RCF to construct national rehabilitation human resources development plans, develop rehabilitation education programs and curriculum systems based on the RCF, and establish certification and assessment standards for rehabilitation human resources.

Objective     To investigate the influence of prior percutaneous coronary intervention (PCI) on the outcome of coronary artery bypass grafting (CABG). Methods     Clinical data of 5 216 patients from Jiangsu Province CABG registry who underwent primary isolated CABG from 2016 to 2019 were retrospectively analyzed. Patients were divided into a PCI group (n=673) and a non-PCI group (n=4 543) according to whether they had received PCI treatment. The PCI group included 491 males and 182 females, aged 62.6±8.2 years, and the non-PCI group included 3 335 males and 1 208 females, aged 63.7±8.7 years. Multivariable logistic regression and propensity score matching (PSM) were used to compare 30-day mortality, incidence of major complications and 1-year follow-up outcomes between the two groups. Results     Both in original cohort and matched cohort, there was no statistical difference in the 30-day mortality [14 (2.1%) vs. 77 (1.7%), P=0.579; 14 (2.1%) vs. 11 (1.6%), P=0.686], or the incidence of major complications (myocardial infarction, stroke, mechanical ventilation≥24 h, dialysis for new-onset renal failure, deep sternal wound infection and atrial fibrillation) (all P>0.05). The rate of reoperation for bleeding in the PCI group was higher than that in the non-PCI group [19 (2.8%) vs. 67 (1.5%), P=0.016; 19 (2.8%) vs. 7 (1.0%), P=0.029]. Both in original cohort and matched cohort, there was no statistical difference in 1-year survival rate between the two groups [613 (93.1%) vs. 4 225 (94.6%), P=0.119; 613 (93.1%) vs. 630 (95.2%), P=0.124], while the re-admission rate in the PCI group was significantly higher than that in the non-PCI group [32 (4.9%) vs. 113 (2.5%), P=0.001; 32 (4.9%) vs. 17 (2.6%), P=0.040]. Conclusion     This study shows that a history of PCI treatment does not significantly increase the perioperative mortality and major complications of CABG, but increases the rate of cardiogenic re-admission 1 year postoperatively.