Creating a population health management dashboard (powerpoint

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Instructions 

Using the information from the modules 01, 02, and 03 summative assessments, construct a dashboard using “a PowerPoint” presentation that lists the health needs based on the community needs assessment that was performed and the critical data sources and data sets needed for the population health management program your health system is planning to launch. (please see the attached three documents for the information needed). “Must have accurate graphs, figures, charts, and/or images to explain the data further”. 

Please see the Rubric below:

A – 4 – Mastery

Executive dashboard lists the health needs based on the community needs assessment and the critical data sources and data sets needed for the population health management program with minimal errors or information missing.

A – 4 – Mastery

All required graphs are present and are an accurate depiction of the data.

A – 4 – Mastery

Executive dashboard is professional in appearance with accurate graphs, figures, charts, and/or images to further explain the data. 

Illinois
Community Needs Assessment

Presented by:

LaToya T. Benson, Chief Population Officer

Homelessness

Homelessness is a complex social problem with various underlying economic and social factors such as poverty, lack of affordable housing, uncertain physical and mental health, addictions, and community and family breakdown. Homelessness affects the health and well-being of our entire community, and it is within our power to change how we address it and even end it (“Institute of Medicine (US) Committee on Health Care for Homeless People”, 1988).

2

Illinois Homelessness Statistics

As of January 2020, Illinois had an estimated 10,431 experiencing homelessness on any given day, as reported by Continuums of Care to the U.S. Department of Housing and Urban Development (HUD). Of that Total, 1,063 were family households, 736 were Veterans, 671 were unaccompanied young adults (aged 18-24), and 2,305 were individuals experiencing chronic homelessness ( “Illinois homelessness statistics”, n.d.)

3

Illinois Population Demographics

Males continue to be the dominant gender group among the population making up just under 60 percent of all individuals (“2021HomelessPoint-in-TimeCountReport”, n.d.).

4

Illinois Population Demographics

Black/African Americans are overrepresented at 73 percent of the homeless population. White Non-Hispanics comprise 12.7 percent of the homeless population. People of Hispanic or Latino origin accounted for 12 percent (“2021HomelessPoint-in-TimeCountReport”, n.d.).

5

Illinois Population Demographics

The ages 25-40 and 41-60 cohorts make up the greatest proportion of the age distribution (“2021HomelessPoint-in-TimeCountReport”, n.d.) .

6

Socioeconomic determinants in Homelessness

The socioeconomic determinants of health that impacts the needs of healthcare and homelessness are economic stability and social awareness. Many Illinois citizens live in areas where jobs are scarce, making fewer salaries and wages for their families. The salaries are not enough for a whole family to feed, and the medication is impossible in this situation. Healthcare access and equity have improved over the last few years, and a significant gap or decrease was observed, but still, the condition is not good (Singu et.al,2020).

7

Low economic stability

Less wages

Lack of access to quality healthcare

Low governmental support (Stoto, 2014)

Major healthcare risks in homeless population

People experiencing homelessness are susceptible to the same health risk issues as people who are not. However, their living conditions make treating and coping with problems much more difficult. Homelessness can cause declines in physical and mental health; homeless persons experience high rates of health problems such as HIV infection, alcohol and drug abuse, mental illness, tuberculosis, and other conditions (“Homelessness in America”, n.d.).

8

HIV/AIDS

Lung diseases including bronchitis, tuberculosis and pneumonia

Malnutrition

Mental health problems

Substance use problems

Wound/Skin infections

Reasons of Health Disparities

Poor health can contribute to homelessness and being homeless can contribute to poor health. Individuals without homes often lack access to health care treatment (“Homelessness in America”, n.d.). Chronic health problems and inaccessibility to medical and dental care can increase school absences and limit employment opportunities (“Homelessness in America”, n.d.). People without homes have higher hospitalizations for physical illnesses, mental illness, and substance abuse than other populations.

9

Limited access to health care

Problems getting enough food

Trouble staying safe

Violence

Unsanitary living conditions

Exposure to severe weather

Resources Available

The Illinois Homeless Prevention Program is administered by The Office of Family Support Services, Bureau of Homeless Services & Supportive Housing. The Bureau administers several programs that address the needs of homeless families and individuals by providing food, shelter and supportive services through local not-for-profit organizations. These programs ensure that people receive quality services through a “continuum of care,” ranging from outreach to those in need, emergency and transitional housing and supportive services, to assistance in gaining self-sufficiency and permanent housing (“Homeless Services & supportive housing”,n.d.).

10

How To Address Homelessness

Emergency and Transitional Housing

Emergency Food Program

Homeless Prevention Program

Supportive Housing Program

The Emergency and Transitional Housing gives immediate and comprehensive shelter services to homeless persons and persons at risk of becoming homeless (“Ending homelessness”, n.d.). The Emergency Food Program is a Federal program administered by the Department of Human Services in Illinois, which makes food available to more than 650 pantries and homeless shelters located throughout Illinois (“Ending homelessness”, n.d.). The Homeless Prevention Program is a program designed to stabilize families in their existing homes, shorten the amount of time that families stay in a shelter, and to assist families with securing affordable housing to prevent homelessness (“Ending homelessness”, n.d.). The Supportive Housing Program provides state funds for services coupled with permanent housing to homeless and formerly homeless individuals and families.

11

Key Performance Indicators

This PHM program aims to empower our state and community partners to improve their response to individuals and families experiencing homelessness. Work with governors, county officials, mayors, and tribal organizations to maintain a policy focus on homelessness, including homelessness due to a disaster. Also, identify risk and protective factors to prevent episodes of homelessness for at-risk populations.

12

Develop an effective crisis response system for youths and adults who experience homelessness

1

Develop an effective system of care for families who experience homelessness

2

Implement a system of services and supports for youths, families and adults

3

Safeguard and improve the quality of life for the homeless population

4

References

Running head: EXECUTIVE SUMMARY 1

Deliverable Two: Executive Summary

Rasmussen University Online

LaToya T. Benson

Population Health

August 7, 2022

Introduction/Background

Housing is a human right. However, millions are denied this fundamental right. Homelessness goes beyond people not having homes. It significantly impacts our economy, public health, and society in general. It affects everyone regardless of their social and economic status. It is a complex social problem with various underlying economic and social factors such as poverty, lack of affordable housing, uncertain physical and mental health, addictions, and community and family breakdown. Homelessness affects the health and well-being of our entire community, and it is within our power to change how we address it and even end it. (“Institute of Medicine (US) Committee on Health Care for Homeless People,” 1988). The more homeless we have, the higher the state of Illinois poverty, leading to a lower quality of life. This executive summary allows for an increased understanding of the needs of our community, why they exist and why it is vital to address these needs. It also describes data for strategic planning, priority setting, program outcomes, and program improvements. It allows us as a community to dive deeper to understand the change within each of the communities we serve. According to the data provided by Continuums of Care to the United States Department of Housing and Urban Development, as of January 2020, Illinois has an estimated 10,431 individuals experiencing Homelessness on any given day (“Illinois homelessness statistics”, n.d.). The state of Illinois is ranked 39th in the United States (“Illinois homelessness statistics,” n.d.). This executive summary aims to establish a PHM (Population Health Management) program by our community for the community. Also, to empower our state and community partners to improve their response to persons and families suffering Homelessness in our state.  

Illinois Population Demographics 

Demographic data was collected from people experiencing Homelessness from all household structures (“2021HomelessPoint-in-TimeCountReport”, n.d.), This demographic data collected includes gender, age, race, and ethnicity: 

· Gender: Males are the dominant gender among the homeless populations

· Race: Black/African Americans represented 74 percent of the homeless population

· Age: 25-40 and 41-60 cohorts make up the most significant proportion of the homeless population 



Significant healthcare risks in the homeless population

Clinical data were collected from hospital research and case studies to determine significant health risks for the homeless community. Individuals without homes are at high risk for hospitalizations related to physical illnesses, mental illness, and substance abuse than other populations such as: 

• HIV/AIDS

• Lung diseases including bronchitis, tuberculosis, and pneumonia

• Mental health problems

• Hepatitis C 

Socioeconomic determinants in Homelessness
Data was collected to determine the causes of homelessness and the findings were:

• Low economic stability 

• fewer wages 

• Lack of access to quality healthcare 

• Low governmental support 

Recommendations 

• Emergency and Transitional Housing

• Emergency Food Program 

• Homeless Prevention Program

• Supportive Housing Program 

• Free Health screenings 

Conclusion 

Information to obtain high-quality data and create long-term strategies for prevention. Therefore, identifying at-risk groups’ risk and protective variables will help to keep them from becoming homeless. Data accuracy is crucial because inaccurate data leads to faulty predictions. Data sets are essential for evaluating health disparities and correcting health inequities. Correct data in healthcare may be the difference between life and death for the individual patient and the whole patient population (Senthilkumar et al., 2018).


References

Homelessness in America. National Alliance to End Homelessness. (2019, March 5). Retrieved August 7, 2022, from https://endhomelessness.org/homelessness-in-america/

(n.d.). Homelessness, health, and human needs. National Center for Biotechnology Information. Retrieved August 7, 2022, from https://pubmed.ncbi.nlm.nih.gov/25032307/

https://www.chicago.gov/content/dam/city/depts/fss/supp_info/Homeless/2021PITCOUNT/2021

HomelessPoint-in-TimeCountReport.pdf. (n.d.).

Illinois homelessness statistics. Homeless in Illinois Statistics 2019. Homeless Estimation by State | US Interagency Council on Homelessness. (n.d.). Retrieved August 7, 2022, from https://www.usich.gov/homelessness-statistics/il/#:~:text=As%20of%20January%202020%2C%20Illinois,and%20Urban%20Development%20(HUD).

Institute of Medicine (US) Committee on Health Care for Homeless People.

Homelessness, Health, and Human Needs. Washington (DC): National Academies Press

(US); 1988. 3, Health Problems of Homeless People. Available from:

Senthilkumar, S. A., Rai, B. K., Meshram, A. A., Gunasekaran, A., & Chandrakumarmangalam, S. (2018). Big data in healthcare management: a review of the literature. American Journal of Theoretical and Applied Business4(2), 57-69.

Running head: DATA SOURCES 1

Deliverable Three: Locating Data Sources

Rasmussen University Online

LaToya T. Benson

Population Health

August 17, 2022

Introduction

Managing homelessness is a crucial undertaking in society due to its significant role in addressing its various health concerns. In this case, data provides the information required to recognize individuals subject to homelessness and affiliated health concerns while ensuring those leaving homelessness do not return. Locating ideal data sources and sets regarding homelessness is crucial to facilitating effective public health management. The paper discusses the significance of finding data sources to prevent and respond to infectious illnesses within the homeless population in Illinois.

Identifying Data Sources and Sets

           Several data sources and types exist for the homeless population in Illinois. For instance, the Committee on Healthcare for Homeless People (CHHP) provides information regarding the degree to which homeless individuals receive health care services from hospitals, clinics, and emergency rooms, among other facilities. It offers information regarding the various obstacles homeless persons face in receiving care (IDHS, 2022). CHHP also identifies the unique needs of homeless individuals, creating outstanding services for them.

The U.S. Department of Housing and Urban Development (HUD) is a crucial data source. It offers information concerning the diverse issues homeless people face, especially when it comes to homeownership, devising approaches that would create homeownership opportunities to end the matter of homelessness in society. The HUD also offers information regarding affordable and safe housing options, minimizing severe homelessness, and battling housing discrimination (Fusaro et al, 2018). These efforts aid in fostering adequate housing for the homeless and addressing the health issues attributed to homelessness.

The Illinois Homeless Prevention Program provides information concerning utility assistance, mortgage/rental assistance services, and acknowledged services aimed at eradicating homeless to people and families in danger of homelessness, foreclosure, and eviction. The program targets stabilizing persons and families, aiding in eliminating the health concerns attributed to homelessness (IDHS, 2022). In this vein, the different data sources provide information that would be crucial to devising approaches to prevent and respond to infectious illnesses among homeless populations in Illinois.

Patient-Wellbeing and Best Practice Data Elements

Focusing on specific data elements among homeless individuals is crucial to enabling providers to realize gains in patient wellbeing and establish future best practices. Since enumerating homeless individuals is a challenging process that consumes immense resources, it becomes essential to rely on specific data elements that would offer flexibility in accommodating distinct homeless people’s situations. In this sense, the primary data elements to consider would comprise Point-in-Time (PIT), Housing Inventory Count (HIC), and Homeless Management Information Systems (HMIS). PIT features information concerning the homeless population in a given area in line with data concerning particular subpopulations, comprising veterans, homeless individuals, and unaccompanied youth (Morton et al., 2018). The information gathered enables providers to understand people’s housing conditions and how these impact their health.

HIC is also a data element that is helpful to providers, enabling them to boost patient wellbeing and exercise best practices. HIC data comprises the yearly catalog of units, beds, and programs to serve a homeless population in a given area. The data availed contains homes with kids, those without kids, and those with an adult and a kid. It also details these individuals’ health concerns due to their housing status. HMIS provides information regarding individuals who can easily access homeless services. HMIS data aids in tracking homeless people while seeking community services, making it possible to create detailed data sets concerning homeless individuals. In this sense, the distinct data elements, comprising PIT, HIC, and HMIS, are essential in offering relevant information to providers regarding people’s homeless conditions together with how these make them susceptible to various health conditions, such as infectious illnesses (HUD User, 202). The data plays a critical role in fostering the development of strategies that aid in coping with such situations effectively, ensuring overall improved population health.

Using Readily Available Data

           Learning to utilize more readily available data, such as demographics, ICD-10 codes, and ADT alerts would play a critical role in integrating increasingly sophisticated and diverse data into managing population health. Demographic information is crucial, mainly due to the numerous concerns regarding homelessness in society, notably in Illinois. Demographic information is essential to addressing the homelessness issue; particularly, it documents various traits comprising the needs of homeless individuals and the number of persons receiving the services, aiding in proposing ideal strategies to address the matter. It is not possible to manage what is not possible to measure. Since gaining demographic information about homeless individuals poses significant challenges and consumes immense resources, relying on demographic information would aid in establishing complex and flexible systems that accommodate distinct local situations (Atlanta Mission, 2022). These should match with the aggregate local while availing a holistic picture of the entire homeless population.

           Shelters do not serve as the issue of concern. Social demographic forces, including family tragedy, addiction, domestic violence, job loss, and mental health, play a critical role in understanding homelessness. Often, persons experiencing homelessness start seeking housing to enable them to secure stable lives, although support systems lack to assist them. In this vein, other forces, comprising relapse, loneliness, and lack of support, can lead persons to end up back homeless (AmeriHealth, 2022). In this sense, understanding population demographics regarding housing would aid in incorporating increasingly sophisticated and diverse data in managing population health.

           Moreover, ICD-10 codes can contribute to integrating more complex and diverse data to manage population health. ICD-10 codes emphasize challenges related to housing and economic standing. These address the complex necessities of patients encountering homelessness. Understanding ICD-10 codes in a complex ecosystem of managing population health is essential in aiding in serving the homeless individuals better while using the healthcare system’s components. In this sense, it becomes vital to emphasize ideal coding to enhance data gathering processes to inform responsive health and clinical initiatives for the population (AmeriHealth, 2022). ICD-10 emphasizes forces that affect health while they are possible to use in distinct healthcare environments to address matters related to homelessness and affiliated healthcare issues.

           Furthermore, learning about Admission, discharge, and transfer (ADT) alerts is essential to incorporating increasingly sophisticated and varied data into facilitating the management of population health. ADT notifications broadly serve as the foundation for enhancing care coordination among patients via health information exchange. ADT alerts are typically sent to patients in healthcare institutions. The notifications sent normally target updating physical and other teams responsible for managing patient care regarding patient status. These play an essential role in facilitating the post-transition shifts, requiring follow-up and enhancing communication among providers (IDHS, 2022). These typically support patients having suffered from multiple or chronic illnesses while exposed to homelessness in society.

Additionally, ADT alerts are crucial to recognizing patients who serve as high or frequent healthcare service users. These create room for directing patients to non-clinical or clinical interventions, minimizing overutilization by hindering unnecessary emergency department visits and hospital readmission. In this sense, the data obtained from IDT alerts is crucial to integrating the increasingly sophisticated and diverse data on managing population health, especially the homeless individuals in society (HUD User, 202). The data would be crucial to fostering prevention and response to infections and illnesses among homeless individuals.

 

References

AmeriHealth. (2022, August 15). ICD-10-CM Code Z59.0. Retrieved from Ameri Health Caritas: https://www.amerihealthcaritasdc.com/pdf/provider/comm/2017/icm-10-cm-code-z59.pdf

Atlanta Mission. (2022, August 15). Social factors and ending homelessness around the world. Retrieved from Atlanta Mission: https://atlantamission.org/social-factors-ending-homelessness-around-world/

Fusaro, V. A., Levy, H. G., & Shaefer, H. L. (2018). Racial and ethnic disparities in the lifetime prevalence of homelessness in the United States. Demography, 55(6), 2119-2128. https://doi.org/10.1007/s13524-018-0717-0

HUD User. (202, August 15). Using data to understand and end homelessness. Retrieved from Office of Policy Development and Research: https://www.huduser.gov/portal/periodicals/em/summer12/highlight2.html

IDHS. (2022, August 15). Homeless prevention. Retrieved from Illinois Department of Human Services: https://www.dhs.state.il.us/page.aspx?item=30360

Morton, M. H., Dworsky, A., Matjasko, J. L., Curry, S. R., Schlueter, D., Chávez, R., & Farrell, A. (2018). Prevalence and correlates of youth homelessness in the United States. Journal of Adolescent Health, 62(1), 14-21. https://doi.org/10.1016/j.jadohealth.2017.10.006

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