Clinical practice review on population health management and promoting positive health outcomes
Year: 2023
Type: article
Abstract: : Population health management has gained worldwide momentum due to the pandemic of chronic conditions and comorbidities in diverse populations. Population health management has been identified as a sustainable solution for integrated healthcare management that promotes patient/client outcomes for people diagnosed with chronic diseases. With the growing number of population groups diagnosed with chronic diseases, avoidable health and social inequalities persist, resulting in debilitating effects on well-being, life expectancy and quality of life. This clinical practice review aimed to outline the key successes of population health management that promote positive health outcomes for people diagnosed with a chronic disease. We searched the National Library of Medicine (NLM) database for manuscripts dated between August 2022 and August 2023. We reviewed data on the successes of population health management from several countries worldwide, including countries with a healthcare system driven by population health management. Population health management is recognized as an integrative, holistic and data-driven approach to managing patients/clients with a chronic disease. Although there are many enablers and barriers, there are also the challenges of stakeholder and patient/client collaboration. The available literature on the key successes of population health management is evidenced by successful attributes of health outcomes. Population health management for patient’s/clients with chronic diseases is a sustainable and strategic method that will streamline care provision now and in the future. And healthcare professionals are in position to promote awareness of population health management by delivering educational seminars focusing on the benefits of managing chronic disease through collaboration, intervention and promoting positive health outcomes.
Authors: Linda Collins, Levi Ross, Monday Ugiagbe
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4390414052