ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

Standardized reporting is a crucial factor affecting the use of patient guidelines （PGs）， particularly in the reporting and presentation of recommendations. This paper introduced the current status of PG reporting， including the research on PG content and presentation formats， and provided comprehensive recommendations for PG reporting from aspects such as overall framework， recommendations， presentation format， and readability. First， the presentation of PG recommendations should include clearly defined clinical questions， recommendations and their rationale， and guidance on how patients should implement the interventions； for specific content in the PG， such as level of evidence， level of recommendation， it is recommended to explain in text the reasons for giving different levels of recommendation， i.e.， to present the logic behind giving the level of recommendation to the patient； additional information needed in the recommendation framework should be supplemented by tracing references or authoritative textbooks and literature that support the recommendations. Subsequently， the PG text should be written based on the Reporting Checklist for Public Versions of Guidelines （RIGHT-PVG） reporting framework. Finally， to enhance readability and comprehension， it is recommended to refer to the Patient Education Materials Assessment Tool （PEMAT） for translating PG content. To enhance the readability of PGs， it is suggested to present the PG content in a persona-lized and layered manner.

Since the concept of patient versions of guidelines （PVGs） was introduced into China， several PVGs have been published in China， but we found that there is a big difference between the concept of PVG at home and abroad， and the reason for this difference has not been reasonably explained， which has led to ambiguity and even misapplication of the PVG concept by guideline developers. By analyzing the background and purpose of PVGs， and the understanding of the PVG concept by domestic scholars， we proposed the term patient guidelines （PGs）. This refers to guidelines developed under the principles of evidence-based medicine， centered on health issues that concern patients， and based on the best available evidence， intended for patient use. Except for the general attribute of providing information or education， which is typical of common health education materials， PGs also provide recommendations and assist in decision-making， so PGs include both the patient versions of guidelines （PVG） as defined by the Guidelines International Network （GIN） and "patient-directed guidelines"， i.e. clinical practice guidelines resulting from the adaptation or reformulation of recommendations through clinical practice guidelines.

At present， the process and methodology of patient guidelines （PGs） development varies greatly and lacks systematic and standardised guidance. In addition to the interviews with PG developers， we have sorted out the relevant methodology for the adaptation and development of existing clinical practice guideline recommendations and facilitated expert deliberations to achieve a consensus， so as to finally put forward a proposal for guidance on the process and methodology for the development of PGs. The development of PGs can be divided into the preparation stage， the construction stage， and the completion stage in general， but the specific steps vary according to the different modes of development of PGs. The development process of Model 1 is basically the same as the patient version of the guideline development process provided by the International Guidelines Network， i.e.， team formation， screening of recommendations， guideline drafing， user testing and feedback， approval and dissemination. The developer should also first determine the need for and scope of translating the clinical practice guideline into a patient version during the preparation phase. Model 2 adds user experience and feedback to the conventional clinical practice guideline development process （forming a team， determining the scope of the PG， searching， evaluating and integrating evidence， forming recommendations， writing the guideline， and expert review）. Based on the different models， we sort out the process and methods of PG development and introduce the specific methods of PG development， including how to identify the clinical problem and how to form recommendations based on the existing clinical practice guidelines， with a view to providing reference for guideline developers and related researchers.

ObjectiveTo systematically analyze international disability data policies and standards, as well as the application of disability data in policymaking, service optimization and inclusive social development, and to clarify the importance of international disability data policies, standard systems and disability data application for the development of disability-related services. MethodsThrough the analysis of policy content and research on the data standard system, this study explored the disability data policy framework, standard system and technical path of data interoperability and integration of international organizations including the United Nations (United Nations Statistics Division and United Nations Children's Fund), World Health Orgnization, United Nations Educational Scientific and Cultural Organization, and International Labour Organization. ResultsInternational organizations established disability data policy frameworks based on their respective mandates, involving data and service development, data standards, data governance, and data application. The international community established a disability data standard system for disability data collection, coding, exchange, interoperability, statistical analysis, data fusion and application. Building a standardized disability data standard system based on the framework of international health classification standards such as International Classification of Functioning, Disability and Health, and International Classification of Diseases, Eleventh Revision would ensure the consistency of cross-national disability data policies, and the interoperability and comparability of disability data, promoting the development of data-driven disability-related services, accurately identifying the service needs of people with disabilities, and optimizing service provision, thereby improving the quality of life and social participation of people with disabilities. ConclusionThe construction and implementation of international disability data policies and data standards have promoted the standardization and interoperability of disability data. With the application of big data, artificial intelligence and blockchain technologies in disability data, international cooperation and cross-industry data fusion in the field of disability data have been promoted, further promoting the development of data-driven disability services, ensuring equal opportunities for people with disabilities to enjoy service resources, and improving the coverage and quality of disability services.

Objective:To evaluate the effect of early mobilization on mortality in intensive care unit (ICU) patients with mechanical ventilation after discharge by Meta-analysis.Methods:Databases including SinoMed, China National Knowledge Infrastructure (CNKI), Wanfang data, PubMed, the Cochrane Library, Web of Science, and Embase were searched from inception to September 17th, 2020, to collect randomized controlled trials (RCT) about early mobilization on mortality of patients with mechanical ventilation in ICU after discharge, the references included in the literature were traced. The control group was given routine care, the experimental group was given early mobilization on the basis of the control group, including passive or active mobilization on the bed, sitting on the bed, standing by the bed, transferring to the bedside chair and assisting walking. The literature screening, data extracting, and the bias risk assessment of included studies were conducted independently by two reviewers. Stata 12.0 software was then used to perform Meta-analysis. Funnel plot was used to test publication bias.Results:A total of 10 RCT studies involving 1 323 patients were included, with 660 patients in the control group and 663 patients in the experimental group. The results of literature quality evaluation showed that 7 studies were grade A and 3 studies were grade B, indicating that the overall quality of included literatures was high. The Meta-analysis results showed that early mobilization did not increase the mortality of patients with mechanical ventilation in ICU after discharge [odds ratio ( OR) = 0.92, 95% confidence interval (95% CI) was 0.75-1.13, P = 0.449]. Subgroup analysis results showed that early mobilization had a tendency to reduce the mortality of ICU patients with mechanical ventilation at 3, 6 and 12 months after discharge, but the difference was not statistically significant (3-month mortality: OR = 1.02, 95% CI was 0.74-1.40, P = 0.927; 6-month mortality: OR = 0.95, 95% CI was 0.70-1.27, P = 0.712; 12-month mortality: OR = 0.60, 95% CI was 0.33-1.10, P = 0.101). Funnel plot showed that the distribution of included literatures was not completely symmetrical, suggesting that publication bias might exist. Conclusions:Early mobilization does not increase the mortality of ICU patients with mechanical ventilation after discharge. Although it tends to have a favorable outcome in reducing mortality, and has a trend to reduce the mortality. However, due to the small number of included literatures, small sample size and differences in the specific implementation of early mobilization among various studies, a large number of high-quality RCT studies are still needed for further verification.

Objective:To evaluate the effect of preventing and treatment of pharmaceuticals on intensive care unit-acquired weakness (ICU-AW) by systematic review.Methods:The randomized controlled trials (RCTs) concerning pharmaceutical prevention and treatment about ICU-AW in SinoMed, CNKI, Wanfang data, PubMed, Cochrane Library, Web of Science, EMbase, and other sources were searched from their foundation to May 30th, 2019. The patients in the intervention group were treated with drugs to prevent or treat ICU-AW; and those in control group were treated with other rehabilitation methods. Data searching, extracting and quality evaluation were assessed by two reviewers independently. Stata 12.0 software was then used for Meta-analysis. Only descriptive analysis was conducted when only one study was enrolled.Results:A total of 11 RCTs were enrolled with 1 865 patients in the intervention group and 1 894 in the control group. The results of quality evaluation showed that 4 studies were A-level and 7 studies were B-level, indicating that the overall quality of the enrolled literature was high. Meta-analysis showed that intensive insulin therapy could prevent ICU-AW [relative risk ( RR) = 0.761, 95% confidence interval (95% CI) was 0.662-0.876, P = 0.000], but reduced phenylalanine loss (nmol·100 mL -1·min -1: -3±3 vs. -11±3, P < 0.05) and glutamine intake (nmol·100 mL -1·min -1: -97±22 vs. -51±13, P < 0.05). There was no significant difference in the prevention and treatment of ICU-AW between other drugs (including growth hormone, glutamine, dexmedetomidine, neostigmine, oxandrolone, and intravenous immunoglobulin) and control group. Conclusions:Intensive insulin therapy can prevent ICU-AW, but the risk of hypoglycemia will increase. Other drugs including growth hormone, glutamine, dexmedetomidine, neostigmine, oxandrolone, and intravenous immunoglobulin have no obvious advantages in the prevention and treatment of ICU-AW, so no drug has been recommended to prevent and treat ICU-AW.

Objective:To explore the application and effect of detailed nursing in atelectasis children undergoing bronchoscopy.Methods:From January to December 2017, we selected 100 atelectasis children with bronchoscopy in Respiratory Department of Tangshan Maternity and Child Health Care Hospital. All patients were divided into control group and observation group with the method of random number table, 50 cases in each group. Control group carried out the routine nursing, while observation group received the detailed nursing. We compared the success rates of bronchoscope, compliances of children, incidence of complications, operation time of bronchoscopy and satisfaction of family members on nursing between two groups.Results:The success rate of bronchoscope, compliance of children, satisfaction and treatment comfort in observation group were higher than those in control group; the incidence of complications and operation time of bronchoscopy in observation group were lower than those in control group; the differences were all statistically significant ( P<0.05) . Conclusions:Application of detailed nursing in atelectasis children undergoing bronchoscopy can effectively improve the compliance of children, reduce the incidence of postoperative complications and increase the satisfaction of family members of children which is conducive to successful implementation of bronchoscopy.

Objective: To investigate the effect of exposure to particulate matter ≤10 μm in aerodynamic diameter (PM₁₀) on sperm quality in different stages of sperm development. Methods: This cross-sectional study included 1 827 patients attending the reproductive medicine center in Renmin Hospital of Wuhan University during April 2013 to January 2015. Air pollution data from January 2013 to January 2015 was obtained from the database of Wuhan Municipal Environmental Protection Bureau. The generalized linear model was employed to assess the association between each exposure variables and sperm parameters for several exposure windows (0-9, 10-14, 15-69, 70-90, 0-90 days before sampling) . Results: The average levels of PM₁₀ was (116.2±71.6) μg/m³ during the research period. Sperm volume was (75.4±49.1) ×10⁶/ml in sample population, (29.4±16.2) % in progressive motility and (51.8±21.6) % in total motility. Exposure to PM₁₀ was inversely associated with sperm concentration (β:-0.319; 95%CI:-0.529,-0.046) during 70-90 lag days. PM₁₀ exposure during the 0-90 lag days was significantly associated with progressive motility (β:-0.312; 95%CI:-0.527,-0.097) and total motility (β:-0.347; 95%CI:-0.636,-0.059) after adjusted for age, education level, BMI, smoking, abstinence time, temperature, humidity and season. Conclusion Exposure to PM₁₀ was associated with statistically significant decrements in sperm concentration and motility, and the adverse impact on sperm concentration was significantly in early phases of spermatogenesis.

Objective: To evaluate the effects of exposure to ozone (O₃) on sperm quality during different stages of spermatogenesis. Methods: All 1 780 subjects attending to the Reproductive Medicine Center in Renmin Hospital of Wuhan University were recruited from April, 4, 2013 to June, 30, 2015. The subjects were living in Wuhan more than 3 months before attending to the program, aged 20 to 40 years. Semen quality (sperm concentration and sperm count) were measured according to standardized protocols. Corresponding daily 8 hours average concentration of O₃, other polluted concentration, average temperature and relative humidity were collected in different time, including lag 0, 10, 70 and 90 d, and lag 0-9 d, lag 10-14 d, lag 70-90 d and lag 0-90 d. After controlling the age, BMI, education level and other confounders, generalized linear Model was used to investigate the association between O₃ and sperm quality during different stages of spermatogenesis. Results: Average daily concentration of O₃ during the study period was (114.20±74.88) μg/m³ and the mean values of sperm concentration and count were (76.32±50.17) millions/ml and (164.77 ± 133.05) millions/sample, respectively. Exposure to O₃ was associated with decreasing sperm concentration and count. For every 1 μg/m³ increase of O₃, the decrease of sperm concentration during lag 10, lag 0-9 and lag 10-14 days exposure windows were 0.040 (95%CI: 0.004-0.077) millions/ml, 0.081 (95% CI: 0.003-0.158) millions/ml and 0.059 (95% CI: 0.001-0.116) millions/ml, respectively. And the decrease of sperm count during lag 10, lag 0-9 days exposure windows were 0.105 (95%CI: 0.008-0.202) millions/sample and 0.221 (95% CI: 0.016-0.426) millions/sample. After stratification, in the ozone concentration ₅₀ and ≥P₅₀ groups, and the number of subjects in each exposure windows (lag 0-9, lag 10-14, lag 70-90, lag 0-90 days) were 887 and 893, 890 and 890, 895 and 885, 889 and 891, respectively. Compared with the high ozone concentration group, the effects of low group were more obvious. Furthermore, the effects of low concentration group was the most obvious during lag 10-14 days, for every 1 μg/m³ increase of O₃, the decrease of sperm concentration was 0.249 (95% CI: 0.028-0.470) millions/ml. After sensitivity analysis, the effects of exposure to ozone on sperm concentration and sperm count remained relatively unchanged. Conclusion Our study suggested that exposure to O₃ was significantly associated with decreasing semen quality in Wuhan. Moreover, the effects were more obvious during lag 0-9 and lag 10-14 days.