Cross-sectional Study Testing a Newly Developed Instrument: Humane and Comprehensive Management of Challenging Behaviour in Health and Social Care

Juan Hung^*
*Correspondence: Juan Hung, Department of Environmental Science, Wuhan University, Wuhan, China, Email:

Introduction

The global trend of an increasingly aging society continues to present policymakers and caregivers with formidable healthcare and socio-economic challenges, making it one of the primary challenges facing public healthcare. A wide range of chronic disorders that are all associated with a lower quality of life for the elderly are primarily brought on by aging. In 2019, the Chinese populace comprised 18 % of the total populace, with 164.5 million Chinese residents matured 65 or more (65+), and 26 million matured 80 or above (80+). China is now a society that is getting older, and as it gets older, the burden on the country's public and family healthcare systems will get worse. The management of chronic non-communicable diseases (CNCDs), physical frailty, neurodegenerative diseases, cardiovascular diseases, and the growing requirement to provide palliative care for the elderly are among the major healthcare challenges associated with elderly care in China. Other emerging challenges include providing sufficient dental care, combating the rising prevalence of sexually transmitted diseases among nursing home communities, providing support for increased incidences of immune diseases, and providing palliative care [1,2]. Analysts are endeavouring to deliver drugs that can copy the impacts of 'practicing more, eating less', while other enemy of maturing atoms from sub-atomic gerontologists could assist with improving 'health span' in the old. In the future, novel technologies like machine learning, "Big Data," and others can also be used to monitor disease patterns at the population level and help design policies. China will become a nation that maximizes and celebrates the longevity of its elderly in the coming decades thanks to synergies across disciplines on policies, geriatric care, drug development, and personal awareness, the use of big data, machine learning, and personalized medicine. This is the review paper's second edition [3,4].

Description

Feebleness is a biologic disorder described by disintegrating capability across an expansive range of physiological side effects. It could be described as a vulnerability state. An index method has been proposed by some to classify the various degrees of frailty; in any case, these endeavours are convoluted by the multidimensionality of the hidden reasons for slightness, hence making a dynamic, steadily changing worth that is hard to file. The term actual fragility has been applied to mature related loss of bulk and capability, that is sarcopenia (point by point in the following segment). As China's population ages, frailty research has grown rapidly in recent years as a way to prevent disability. The following scientific conferences served as venues for showcasing research projects: The WHO Collaborating Centre on Frailty, Clinical Research, and Geriatric Training at the Gerontopole, Toulouse, France, the Chinese Embassy in Paris, and the National Clinical Centre for Geriatric Diseases, China, jointly organized the first and second International China Conference on Frailty in China [5,6].

Conclusion

Chinese Geriatrics Society, Beijing Institute of Geriatrics and Gerontology, and the Chinese Health Promotion Foundation hosted the fourth Asian Conference for Frailty and Sarcopenia in Da Management, basic science, epidemiology, definitions and measurements, and service models were among the many topics covered. Conferences like these greatly accelerate both basic and clinical research into frailty and clinical treatment. The training and practice of geriatric medication has been and will keep on being upgraded, including to additional increment the educating of geriatrics-related subjects in clinical school, to plan top notch residency and cooperation programs, and to additionally coordinate geriatric standards into general clinical practice.

Acknowledgement

None.

Conflict of Interest

None.

References

1. Abdrabou, Ahmed, Gilan M. Sultan, Mohamed Abd Elkader and Hussein M. Kamal. "Non-invasive wood identification on parts of King Horemheb’s ritual couches (New kingdom)."Conservar Património36 (2021): 12-19.

Google Scholar, Crossref, Indexed at

2. Brugnach, Marcela, Art Dewulf, Claudia Pahl-Wostl and Tharsi Taillieu. "Toward a relational concept of uncertainty: About knowing too little, knowing too differently, and accepting not to know." Ecol Soc 13 (2008).

Google Scholar

3. Mickwitz, Per. "A framework for evaluating environmental policy instruments: Context and key concepts." Eval 9 (2003): 415-436.

Google Scholar, Indexed at

4. Barton, Jo and Jules Pretty. "What is the best dose of nature and green exercise for improving mental health? A multi-study analysis." Environ Sci Technol 44 (2010): 3947-3955.

Google Scholar, Crossref, Indexed at

5. Ingold, Karin, Peter PJ Driessen, Hens AC Runhaar and Alexander Widmer. "On the necessity of connectivity: Linking key characteristics of environmental problems with governance modes." J Environ Plan Manag 62 (2019): 1821-1844.

Google Scholar, Crossref, Indexed at

6. Walker, Warren E., Poul Harremoës, Jan Rotmans and Jeroen P. Van Der Sluijs, et al. "Defining uncertainty: A conceptual basis for uncertainty management in model-based decision support." Integr Assess 4 (2003): 5-17.

Google Scholar, Indexed at