Population Health Management Statistics 2024 – Everything You Need to Know

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Are you looking to add Population Health Management to your arsenal of tools? Maybe for your business or personal use only, whatever it is – it’s always a good idea to know more about the most important Population Health Management statistics of 2024.

My team and I scanned the entire web and collected all the most useful Population Health Management stats on this page. You don’t need to check any other resource on the web for any Population Health Management statistics. All are here only 🙂

How much of an impact will Population Health Management have on your day-to-day? or the day-to-day of your business? Should you invest in Population Health Management? We will answer all your Population Health Management related questions here.

Please read the page carefully and don’t miss any word. 🙂

Best Population Health Management Statistics

☰ Use “CTRL+F” to quickly find statistics. There are total 49 Population Health Management Statistics on this page 🙂

Population Health Management Market Statistics

  • It is estimated that the market will grow to over 50 billion dollars by 2025. [0]

Population Health Management Latest Statistics

  • Available to download in PNG, PDF, XLS format 33% off until Jun 30th. [0]
  • Indeed, in my firm’s recently released report, 99% of respondents predict their organization will have some revenue in models with upside gain and/or downside risk in the next two years. [1]
  • The disparate impact of Covid 19 on the most vulnerable populations has highlighted the need for a population health management approach, so this number should quickly near 100%. [1]
  • The involvement of healthcare organizations in housing and community development has increased significantly since 2016, but even so, less than 30% are working to address this challenge. [1]
  • Only 18% of healthcare executives’ organizations have more than 10% of revenue in capitated contracts. [1]
  • The majority of healthcare executives say their organizations have less than 20% of revenue in alternative payment contracts. [1]
  • So far, though under circumstances none of us could have possibly predicted, 2020 has been a year of accelerating change –. [1]
  • Adults with diabetes have a 50% higher risk of death from any cause than adults without diabetes, in addition to risk for myriad complications. [2]
  • Their 2025 Model utilized Boyle et al’s projection that undiagnosed diabetes would be 33% of total diabetes in 2015, declining to 25% in 2030. [2]
  • Based on the trend of CDC national diabetes statistics (29.8% of total diabetes being undiagnosed in 2005, 24.2% in 2007, 27.1% in 2010, and 27.8% in 2012). [2]
  • Second, the prevalence of prediabetes has been progressively climbing in CDC national statistics (20% of the adult population in 2000, 26% in 2007, 35% in 2010, and 37% in 2012). [2]
  • the IAF model used 38% of the population ages 20 years and older having prediabetes in 2015, slowly increasing to 40% in 2030. [2]
  • To calculate the percent risk of death from diabetes, the research team used annual death data published for the most recent 10 years from the National Vital Statistic Reports. [2]
  • Plotting this trend line of annual percent incidence of death per individual with diagnosed diabetes revealed a 40% decline. [2]
  • The model assumes a modest additional 25% decline over the period between 2010 and 2030 to calculate deaths caused by diagnosed diabetes. [2]
  • Between 2015 and 2030, the IAF Diabetes Model projects that the total number of people with type 2 and type 1 diabetes will increase by 19,629,000 to 54,913,000 people, a 54% increase. [2]
  • The cost of diabetes in 2015 dollars will increase to $622.3 billion, a 53% increase. [2]
  • Additionally, in the new model there will be 1,519,800, or 10.3%, fewer people with undiagnosed diabetes because of lower undiagnosed diabetes prevalence rates. [2]
  • Therefore, total diabetes is projected to be 3,426,500, or 5.8%, lower using the Diabetes 2030 Model. [2]
  • However, prevalence of prediabetes is higher in this model, resulting in 12,581,900 more individuals with prediabetes (a 13.2% increase). [2]
  • 6However, the just released National Health and Nutrition Examination Survey found almost 38% of American adults were obese in 2013–2014 up from almost 35% in 2011–2012, suggesting that obesity has not yet leveled off. [2]
  • The present study found a 40% decline in the incidence of deaths directly caused by diabetes on the death certificate between 2000 and 2010, and the model projects a further 25% decline between 2010 and 2030. [2]
  • Gregg et al found that among adults with diabetes, the cardiovascular death rate declined by 40% between 1990 and 2006 and that all cause mortality declined by 23%. [2]
  • The declines among those with diabetes exceeded the declines among those without diabetes, resulting in a more than 50% reduction of the excess death rates attributed to diabetes. [2]
  • <7.0% (7.9% improvement), BP <130/80 mmHg (11.7% improvement). [2]
  • , low density lipoprotein cholesterol <100 mg/dl (20.8% improvement), and an annual foot exam (6.8% improvement). [2]
  • Additionally only 14.3% met the target for all 3 tested measures plus were not smoking. [2]
  • In spite of the apparent stabilizing incidence of diabetes, the prevalence of total diabetes is projected to grow 54% from 35,644,000 to 54,913,000 between 2015 and 2030. [2]
  • Finally, the dramatic increase in type 2 diabetes in children and adolescents, rising from 3% of new cases of diabetes in children pre1990s to 45% of new cases in 2005, means more young and middle aged adults will be living with diabetes. [2]
  • Between 2015 and 2030 the total costs in the United States are expected to increase from $408 billion to $622 billion, a 53% increase. [2]
  • The cost of diagnosed diabetes increased by 41% between 2007 and 2012, but individual costs of diabetes care increased only 19% whereas national health care expenditures increased 24%. [2]
  • Also, between 2007 and 2012 the cost of prediabetes increased 74% to $44 billion, so the increasing prevalence of diabetes and prediabetes is the driving force behind the dramatically increasing economic burden of diabetes. [2]
  • 3311Between 1987 and 2011 prescription medications accounted for 55% of the per capita increase in medical spending for diabetes. [2]
  • Prescription drug prices rose 10.9% in 2014 and again more than 10% in 2015. [2]
  • Current screening criteria fail to detect more than 50% of undiagnosed diabetes. [2]
  • This increased prevalence means 30% of all Americans and 51% of all seniors would have prediabetes. [2]
  • Currently only about 10% of those adults with prediabetes are aware of their condition, and without effective intervention, up to a third of them will go on to develop diabetes within 5 years. [2]
  • Programs such as the Diabetes Prevention Program clinical trial have shown that intensive lifestyle interventions can reduce the risk of going on to develop type 2 diabetes by 58% in overweight or obese adults with prediabetes. [2]
  • Between 1987 and 2011 prescription medications accounted for 55% of the per capita increase in medical spending for diabetes. [2]
  • The goal of the initiative is to rapidly spread the 4Ms Framework to 20% of US hospitals and medical practices by end of 2020. [3]
  • The New England Journal of Medicine reported that for every 1% drop in total cholesterol, the risk of having a heart attack dropped by 2 to 3%. [4]
  • For every one point drop in elevated diastolic blood pressure, there is another 2 to 3% drop in heart disease risk. [4]
  • It is estimated that the cost associated with presenteeism due to poor employee health is at least 2 to 3 times greater than direct health care expenses. [4]
  • Smokers were 28% more likely to have high presenteeism than non. [4]
  • Employees with an unhealthy diet were 66% more likely to have high presenteeism than those who regularly ate whole grains, fruits, and vegetables. [4]
  • Employees who didn’t exercise very much were 50% more likely to have high presenteeism than employees who were regular exercisers. [4]
  • Looking at this graph, you can see that employees who suffer from neck/back pain are 79% more likely to have high presenteeism than employees who do not have neck/back pain. [4]
  • As of 2020, most employers had wellness programs of some kind — including 53 percent of small firms and 81 percent of large companies. [4]

I know you want to use Population Health Management Software, thus we made this list of best Population Health Management Software. We also wrote about how to learn Population Health Management Software and how to install Population Health Management Software. Recently we wrote how to uninstall Population Health Management Software for newbie users. Don’t forgot to check latest Population Health Management statistics of 2024.

Reference

  1. statista – https://www.statista.com/statistics/818979/global-population-health-management-solutions-market-size/.
  2. forbes – https://www.forbes.com/sites/ritanumerof/2020/08/19/5-population-health-statistics-bound-to-change-because-of-covid-19/.
  3. nih – https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5278808/.
  4. aha – https://www.aha.org/center/population-health-management.
  5. wellsteps – https://www.wellsteps.com/blog/2020/01/02/workplace-wellness-statistics-wellness-stats/.

How Useful is Population Health Management

At its core, population health management is about taking a proactive, rather than reactive, approach to healthcare. It involves not just treating patients when they are sick, but also looking at the underlying factors that contribute to health issues in the first place, and implementing strategies to prevent illness before it occurs. This approach acknowledges that a person’s health is influenced by a multitude of factors beyond just genetics and lifestyle choices, including social determinants of health such as education, income, and access to healthcare resources.

One of the key benefits of population health management is its focus on addressing health disparities and inequities. By examining the social determinants of health that contribute to poor outcomes in marginalized communities, healthcare providers can tailor interventions to address these specific challenges and improve overall health outcomes for vulnerable populations.

Moreover, population health management can also lead to a more efficient and effective use of healthcare resources. By identifying and targeting high-risk individuals who are likely to benefit from early interventions, healthcare providers can prevent costly hospitalizations and emergency room visits, ultimately saving both money and improving the quality of care.

Another advantage of this approach is its emphasis on collaboration and coordination among different healthcare providers and community organizations. By breaking down silos and fostering partnerships, population health management can create a more integrated and holistic approach to healthcare delivery, ensuring that patients receive seamless and personalized care across various settings and providers.

However, despite these potential benefits, population health management is not without its challenges. Implementing this approach requires significant investment in data and technology infrastructure to collect and analyze vast amounts of data on populations and individual patients. This can be a barrier for smaller healthcare organizations with limited resources and funding.

Additionally, there is also concern about privacy and data security when it comes to collecting and sharing personal health information on a population level. It is essential that proper safeguards are in place to protect patient confidentiality and comply with legal regulations to ensure trust and secure implementation of population health management strategies.

In conclusion, population health management has the potential to revolutionize healthcare delivery and improve health outcomes for individuals and communities. By taking a proactive approach to addressing health disparities, collaborating across disciplines, and leveraging data and technology, this model can lead to more effective and efficient healthcare delivery. However, it is crucial to address the challenges and limitations of this approach, including data privacy concerns and resource constraints, to ensure successful implementation and long-term sustainability.

In Conclusion

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