Objective To analyse the content and structure of the health management policy text for chronic obstructive pulmonary disease (COPD) in China, and to provide a reference for the optimization and improvement of subsequent relevant policies. Methods We searched for relevant policy documents on COPD health management at the national level from January 2017 to December 2023, constructed a two-dimensional analysis framework for policy tools and chronic disease health management processes, coded and classified policy texts, and used content analysis method to analyze policy texts. Results Twenty-four policy texts were included. There were 183 codes for policy tool dimension, with supply based, environmental based, and demand based tools accounting for 43.72%, 47.54%, and 8.74%, respectively. There were 124 codes for the dimension of health management processes, with health information collection and management accounting for 12.10%, risk prediction accounting for 14.52%, intervention and treatment accounting for 66.13%, and follow-up and effectiveness evaluation accounting for 7.26%. Conclusions At present, the proportion of policy tools related to the management of COPD in China needs to be dynamically adjusted. Environmental tools should be appropriately reduced, the internal structure of supply tools should be optimized, the driving effect of demand tools should be comprehensively enhanced, the coupling of COPD health management processes should be strengthened, and the relevant policy system and overall quality should be continuously improved.
With the continuous development of new drugs and immunotherapy, the survival period of patient with multiple myeloma (MM) is continuously prolonged, and the disease is becoming chronic. Due to the involvement of multiple systems and numerous complications, the daily nursing for MM faces significant challenges. The doctor-nurse-patient integration model and the whole life cycle health management model for daily nursing of MM are expected to reduce the social burden related to diseases, improve patients’ quality of life, and reduce medical costs. This article provides a review on three aspects of MM doctor-nurse-patient integration, whole life cycle health management, and daily health management involving multiple systems.
Objective To evaluate the effects of delicacy management applied in branch health management sub-center. Methods From July 2013 to December 2015, integrated delicacy management was applied throughout the whole process of the preparation for the establishment and the running of the branch health management sub-center. The strengths and weaknesses of the management, the management of the details and the control of the emphasis were analyzed. And the medical visits and incomes after the application of delicacy management were also analyzed. Results From July 2013 to December 2015, the monthly average medical visits were 1 870.17±609.93, 2 842.50±1 247.60 and 3 717.92±1 257.98, while the monthly average incomes were (2 136.0±585.1) thousand yuan, (3 620.5±1 559.9) thousand yuan and (4 921.1±1 837.2) thousand yuan, which increased significantly. Conclusion The application of delicacy management in the branch health management sub-center could ensure the quality of service, promote the steady growth of performance, and improve the understanding of the surrounding population of health management, thus we can improve the economic and social benefits of the health management sub-center.
Objective To investigate and analyze the 3-year physical examination results of the employees of a large financial enterprise in Chengdu, explore the key factors of health management and provide scientific basis for implementing reasonable health management. Methods The physical examination results of the employees of a large financial enterprise in Chengdu from 2012 to 2014 were analyzed, and the common abnormal results in the physical examination were summarized. Results The proportion of the employees whose physical examination results were completely normal in 2012, 2013, and 2014 was 4.97%, 2.01%, and 1.48%, respectively, showing a decreasing trend. Overweight, fatty liver and elevated triglycerides were always the top three of the abnormal examination results; the detection rates of which in the male staff were much higher than those in the female staff (P<0.05). In the female staff, the detection rate of overweight was always in the first place; the detection rate of columnar ectopy was always in the top three; the detection rate of liver cyst was in third place in 2013; and the detection rate of Nabothian cyst was in the second place in 2014. Conclusion The health management program of employees of this large financial enterprise is poor, thus health management should be paid enough attention to improve the employees’ physical quality.
The new coming era has brought great challenge to present health service model, and the development of new science and technology had improved the reconstruction of medical system and model. With the guidance of evidence-based management and participation of model technology, this paper provides an explanation of the new health service model containing new health management, clinical medicine, chronic disease management and elder care which cover the whole life cycle, so as to implement the " Health China” strategy and develop a whole life cycle health service system for all residents with necessary, high quality, and affordable prevention, treatment, rehabilitation and health promotion.
ObjectiveTo explore the effect of continuous health data collection system on residents' heath management. MethodsFrom October 2012 to October 2013, 128 employees aged from 35 to 45 from a bank who volunteered to accept the health management were selected. They were to randomly divided into observation group and control group; the control group received routine outpatient management, while the health management group were observed with continuous data collection system (Zhengguangxing E Health System). We evaluate the changes in physiological indices of a healthy lifestyle one year later. ResultsOne year after administration, the poor lifestyle decreased in observation group obviously (smoking, drinking, poor diet and not take any exercise) compared with that in the control group (P<0.05). The relative health indicators including overweight, abnormal blood pressure, dyslipidemia, abnormal fasting blood-glucose, meliorated much more in observation group than that in the control group (P<0.05). ConclusionContinuous health data collection system for population health management is effective on health management.
ObjectiveTo investigate the checkup residents' requirements for the health management and its influence factors. MethodsThe data from 741 checkup clients were randomly sampled by questionnaire in checkup center in May, 2013, including 360 males and 381 females aged from 24 to 69 with an average of 43.5±11.2. ResultsThere were 668 valid questionnaires, with an effective rate of 90.1%. In these 326 males and 342 females, 589 (88.2%) had the consciousness of health management, 79 (11.8%) had no consciousness of health management; the health management services needs included:consultation offered by experts of examination report (556, 83.2%), health promotion plan (379, 56.7%), medical follow-up (301, 45.1%), green channel (280, 41.9%), health knowledge message (276, 41.3%) and lecture on health knowledge (200, 29.9%). The demand for health management differed in sex, age and checkup format(P<0.05), not in chronic disease conditions (P>0.05); the requirement for lecture differed in age and occupation(P<0.05); the requirement for health promotion plan differed in economic condition(P<0.05); the requirement for message and green channel differed in age and checkup pattern(P<0.05). ConclusionThe checkup residents' have high requirements for the health management and differ in health management services.
ObjectiveTo explore the methods of data management and statistical analysis for longitudinal big data collected from mobile health management applications (APP). MethodsThe data management process and statistical analysis method were proposed by summarizing the characteristics of the data from mobile health management APPs. The methods would be clarified by a practical case: an APP recording female menstruation. ResultsThe data from health management APPs belong to longitudinal big data and the original record of the APP should be reprocessed or computed before conducting statistical analysis. A two-step data cleaning procedure was suggested for data management of the original records and reprocessed data, and longitudinal models such as mixed models was recommended for statistical analysis. ConclusionsThe data from health management APPs could be used for medical research via specific data management and statistical analysis after removing suspicious data. Cloud computing could be a viable method to improve efficiency of the big data analysis of health management APPs.