Based on international framework of rehabilitation, this paper summarized the theories and practice of rehabilitation in Shenzhen. An inclusive rehabilitation model had been established in Shenzhen in light of international concepts of rehabilitation, in which the functions of medical rehabilitation, education, employment, assistive technology, care, right protection, accessible environment and culture had been integrated. The comprehensive services had been provided through this model and the target of inclusive development had been realized.

Objective To analyze functioning and disability, unmet needs and the service for people with disabilities in Shenzhen, Guangdong, China. Methods Based on International Classification of Functioning, Disability and Health (ICF) and World Report on Disabil-ity, the theoretical framework had been constructed, and the unmet needs and service status for people with disabilities in Shenzhen in 2015 had been statistically analyzed. Results For the statistics of disability by categories, physical disability composed of 42.5%, speech disability composed of 1.5%;people with severe and extremely severe disabilities composed of 52.8%;Futian District composed of 19.7%, Yantian District composed of 2.2%;people aged 0 to 18 years composed of 17.4%, and people aged over 60 years (27.0%) were the larger group. For the unmet needs of people with disabilities, 25%needed rehabilitation therapy, 18.8%needed functional training, 23.2%needed assis-tive devices, and 32.9%had no need. For rehabilitation sevice in Shenzhen, 24.4%received rehabilitation therapy, 17.4%received function-al training, 20.4%received assistive devices, and 37.6%did not receive any service. For the barrier-free reconstruction, 4.6%needed bath-room reconstruction, and 0.7%needed internet access screen software. Conclusion The status of functioning and disability, unmet needs and service development of rehabilitation in Shenzhen had been analyzed. There was still a gap between unmet needs and services of rehabilita-tion. It recommended to construct precise services delivery based on unmet needs, improve the full coverage and quality of service of reha-bilitation.

Objective To investigate the correlation between NRAMP1 gene polymorphisms and susceptibility to tuberculosis ( TB) in Tibetan people in Qinghai. Methods A case-control study was con-ducted in this study, involving 99 Tibetan patients with TB and 89 healthy Tibetans. The single nucleotide polymorphisms of NRAMP1 gene at rs17235409 and rs3731865 sites were detected by using TaqMan probe method. Gene cloning and sequencing typing were performed to analyze the single nucleotide polymorphisms of NRAMP1 gene at the rs17235416 site. SPASS20. 0 software was used to statistically analyze the correla-tion between NRAMP1 gene polymorphisms and susceptibility to TB in Tibetan people. Results No signifi-cant difference in the genotype frequencies of rs3731865 and rs17235409 was found between the two groups (χ2=0. 852, P=0. 356;χ2=0. 279, P=0. 597). The genotype frequencies of TGTG/TGTG and TGTG/del+del/del at the rs17235416 site were 70. 7% ( 70/99 ) and 29. 3% ( 29/99 ) in patients with TB and 86. 5% (77/89) and 13. 5% (12/89) in healthy subjects. There were significant differences in the geno-type frequencies of TGTG/TGTG and TGTG/del+del/del between the two groups (χ2=6. 870, P=0. 009). The genotypes of TGTG/del and del/del at rs17235416 were risk factors for TB ( OR=0. 376; 95%CI:0. 178-1. 794 as compared with the TGTG/TGTG genotype in Tibetan people in Qinghai. Conclusion This study suggested that the NRAMP1 gene polymorphisms at rs3731865 and rs1723409 sites had no correlation with the susceptibility to TB in Tibetans in Qinghai. However, the NRAMP1 gene polymorphisms at rs17235416 site were correlated with the susceptibility to TB. The TGTG/del alleles at the rs17235416 site might be the risk factors for tuberculosis in Tibetans in Qinghai.

Objective:To study the epidemic characteristics of human brucellosis in Shandan County, Zhangye City, Gansu Province, and provide reference basis for formulating effective prevention and control measures.Methods:The surveillance data of brucellosis were collected from the China Disease Prevention and Control Information System and Shandan Center for Disease Control and Prevention to describe the three-compartment distribution (population, time, region distribution), and were analyzed by SPSS 19.0.Results:A total of 482 cases of brucellosis were reported with an average annual incidence of 48.99/100 000 from 2016 to 2021 in Shandan County, and farmers were the mainly occupation (84.85%, 409/482). The sex ratio of men and women was 3.16 ∶ 1.00 (366/116). The onset time was mainly concentrated in summer and autumn. Breeding cattle and sheep (feeding, cleaning pens, etc.) resulted in 107 cases of direct contact infection, accounting for 22.20% of the total cases (107/482). Incidence rate of different years was quite different (χ 2 = 121.09, P < 0.001). The average annual incidence rate of brucellosis in Laojun Township (95.72/100 000) was statistically different from that in other towns (χ 2 = 20.49, P < 0.001). Conclusions:The overall high prevalence of human brucellosis in Shandan County from 2016 to 2021. The animal husbandry department should strengthen the control of infectious sources, and the health department should increase publicity and education to curb the spread of the epidemic as soon as possible.

OBJECTIVE: To explore clinical rules based on the big data of the emergency department of the Second Affiliated Hospital of Guangzhou Medical University, and to establish an integrated platform for clinical research in emergency, which was finally applied to clinical practice. METHODS: Based on the hospital information system (HIS), laboratory information system (LIS), emergency specialty system, picture archiving and communication systems (PACS) and electronic medical record system of the Second Affiliated Hospital of Guangzhou Medical University, the structural and unstructured information of patients in the emergency department from March 2019 to April 2022 was extracted. By means of extraction and fusion, normalization and desensitization quality control, the database was established. In addition, data were extracted from the database for adult patients with pre screening triage level III and below who underwent emergency visits from March 2019 to April 2022, such as demographic characteristics, vital signs during pre screening triage, diagnosis and treatment characteristics, diagnosis and grading, time indicators, and outcome indicators, independent risk factors for poor prognosis in patients were analyzed. RESULTS: (1) The data of 338 681 patients in the emergency department of the Second Affiliated Hospital of Guangzhou Medical University from March 2019 to April 2022 were extracted, including 15 modules, such as demographic information, triage information, visit information, green pass and rescue information, diagnosis information, medical record information, laboratory examination overview, laboratory information, examination information, microbiological information, medication information, treatment information, hospitalization information, chest pain management and stroke management. The database ensured data visualization and operability. (2) Total 140 868 patients with pre-examination and triage level III and below were recruited from the emergency department database. The gender, age, type of admission to the hospital, pulse, blood pressure, Glasgow coma scale (GCS) and other indicators of the patients were included. Taking emergency admission to operating room, emergency admission to intervention room, emergency admission to intensive care unit (ICU) or emergency death as poor prognosis, the poor prognosis prediction model for patients with pre-examination and triage level III and below was constructed. The receiver operator characteristic curve and forest map results showed that the model had good predictive efficiency and could be used in clinical practice to reduce the risk of insufficient emergency pre-examination and triage. CONCLUSIONS The establishment of high-quality clinical database based on big data in emergency department is conducive to mining the clinical value of big data, assisting clinical decision-making, and improving the quality of clinical diagnosis and treatment.
Adult ; Humans ; Big Data ; Emergency Service, Hospital ; Triage/methods* ; Intensive Care Units ; Hospitalization ; Retrospective Studies