Reducing Mortality in Long-Term Ill Older Patients: Efficacy of the Holistic Quality of Life (HQP) Model
Received Date: Jan 04, 2024 / Published Date: Jan 31, 2024
Abstract
Objective: This study evaluates the effectiveness of the Holistic Quality of Life (HQP) model in reducing mortality rates among long-term ill older patients, a critical challenge in contemporary healthcare.
Methods: A retrospective cohort study was conducted, involving older patients with long-term illnesses. Participants were divided into two groups: one receiving traditional care (control group) and the other receiving care under the HQP model (intervention group). The HQP model integrates comprehensive medical care with psychological, social, and spiritual support. Data on mortality rates, hospital readmissions, and overall health status were collected over a 24-month period.
Results: The intervention group, under the HQP model, demonstrated a statistically significant reduction in mortality rates compared to the control group (p < 0.05). Additionally, patients in the HQP group exhibited lower rates of hospital readmissions and reported higher levels of overall well-being and satisfaction with care.
Conclusion: The HQP model, with its multidimensional approach to patient care, significantly reduces mortality rates among long-term ill older patients. This model, emphasizing not just medical but also psychological, social, and spiritual dimensions of care, offers a more effective strategy for managing the complex needs of this patient population. The findings advocate for the integration of the HQP model into standard healthcare practices to enhance patient outcomes and quality of life in long-term care settings.
Citation: Jian YX (2024) Reducing Mortality in Long-Term Ill Older Patients:Efficacy of the Holistic Quality of Life (HQP) Model. J Comm Pub Health Nursing,10: 490. Doi: 10.4172/2471-9846.1000490
Copyright: © 2024 Jian YX. This is an open-access article distributed under theterms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.
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