Target Community and Program

Target Community and Program




1. Description of Target Community. Describe, succinctly, the “community” that you perceive can be targeted to meet the selected HP 2030  Objective.  Community means the target population that is within your reach and that is at risk for not meeting this HP 2030 objective.

Describe the following:

  • Stated target objective from HP 2030  (Same as assignment #1 targeted objective).
  • Description  of your “community” at the city or county or municipality level; in  other words, “who are these people?” in terms of demographics; you can  typically find this demographic data from census databases or other  national or local databases or information that is within the public  domain.
  • You  must include important epidemiological “person, place and time”  information about your target community.  This includes the target  population size and target population demographics.  Include local  incidence and prevalence rates of health outcomes that are directly  related to your chosen Healthy People 2030 health behavior.

*With  regards to the “community”, I strongly recommend you target a  relatively narrow segment or community.  For example, it would be  advisable to choose to target the issue of underage drinking and  subsequent car crashes in a target community within your county,  city, town or local school district versus addressing this issue by  choosing a chosen target community of your entire state

2.  Description of Your Health Promotion Program and Sample Size

(a)  Provide detailed and specific information about your chosen “Building  Your Own Health Promotion Program” intervention sample group in whom you  plan on being your program participants in your eventually implemented  “Building a Health Promotion Program Project”. This program intervention  sample should be taken from within your chosen target community. You MUST provide a  SPECIFIC INTERVENTION SAMPLE SIZE AND A SPECIFIC SAMPLE INTERVENTION  LOCATION AND A SPECIFIC SAMPLE INTERVENTION START DATE AND COMPLETION  DATE.  This will specify when the program’s intervention sample  subjects will begin the program and begin to have activities  administered to them.  This will also describe the completion date of  the program.   You will eventually have specific health promotion  program educational activities and components that you will develop and  administer during the implementation period of your program.  If you  decide to implement your program in a school or worksite or hospital or  community center or place of worship or clinic within your target  community then you must obtain try to obtain important descriptive  statistical information and demographic information about your sample  from the site manager or overseer.  For example, if you decide to  implement an obesity prevention program that targets first and second  graders in your city because the city or county or state statistics  reveal high child obesity prevalence rates in this area, then you may  choose to implement your program at a local elementary school.  Your  intervention sample would be first and second grade classes in this  particular elementary school.  You will seek to gather basic information  about the number of first and second graders in your chosen school and  also seek to gather basic demographic data about the school population  if at all possible.  Try to choose an intervention sample in  which you will be able to research and find and report on all of this  important demographic data.  This data will be important for your  “stakeholders” as well as for your program planning.

3. Proposed Program. Conclude this proposal with a brief  discussion of your idea for a health promotion program plan to meet  your HP 2030 objective, health behavior and associated health indicator  (assuming the results of your needs assessment indicate a need).  Please  use three (3) sources of research supporting this type of program.

Header: Preliminary Needs Assessment Introduction Within the category “health problems,” Health People 2030 has identified many key goals. The problem of Diabetes (type 2) stands out among the numerous important issues discussed simply because it has persisted for years. Until 2030, the diabetes epidemic will remain in its infancy, making it a high-priority public health concern (ODPHP, 2021). Nevertheless, being in the “emerging stage” also implies that reliable baseline data have not been created yet. Having stated that, until there is sufficient evidence, the subject of Diabetes will not be included in the fundamental goals for healthy people in 2030. Throughout this essay, the seriousness and pressing nature of the target will be highlighted, supported by evidence, along with how numerous socioeconomic variables impact people affected by Diabetes. Public health issue: According to estimates, around 37 million individuals in the United States have Diabetes, the majority (90–95%) of whom have type 2 diabetes (CDC, 2022). Many individuals who have type 2 diabetes are not aware that they have the condition. Lack of awareness of one’s prediabetes or improper management is two possible causes. Insulin resistance, or the body’s failure to react to the hormone insulin produced by the body, is the major cause of type 2 diabetes. The body releases more insulin as a result of this lack of response. As a result of its inability to keep up when this happens, the pancreas ultimately quits up (CDC, 2021). The person’s blood sugar levels rise during this time, which causes prediabetes to develop. Heart disease, eyesight loss, renal disease, and other health disorders may emerge while the body is at this stage or in a more advanced stage that is not properly cared for (Mayo Clinic, 2021). 23% of people with type two Diabetes go undiagnosed because the symptoms are difficult to recognize (CDC, 2017). Using a typical blood sample, the illness may be readily identified. This kind of Diabetes has the potential to be lethal if the condition is not treated before it reaches its most severe level. As of 2008, type two diabetes was the third leading cause of mortality annually at 70,553 persons (NCBI, n.d.). As previously said, this condition may also cause renal, vascular, heart, and visual problems or loss. Although there has been an upsurge in incidence in youngsters, this illness mostly affects people over 45. Naturally, the severity of the condition impacts the kind and frequency of these consequences. Socioeconomic status (SES), race, age, gender, and place of residence are all differences between people. Numerous risk factors may be found by digging into the statistics of this illness. Some may even be used as background information, making one take additional security measures. Usually, if a person’s weight is excessive, it might be a major concern, additionally to a person’s race. For instance, compared to White/Caucasian persons, this illness is more often seen among African Americans, Hispanics, Native Americans, and Asian/Asian Americans. Pacific Islanders had the highest prevalence of type two diabetes, at 14.5%, followed by African Americans at 12.1%, Hispanics at 11.8%, Asian Americans at 9.5%, and non-Hispanic Whites at 7.4% ( ADA, 2022). In the United States as a whole, the region with the greatest incidence of type 2 diabetes is the Southern United States. The high rates in this location might be attributed to the region’s way of life, nutrition, and general prosperity. In general, Southern Americans tend to eat less healthily than those in other parts of the country. There are a lot of fried meals and harmful fast eats on the menu. In this region, the predominant cuisine also contributes to other illnesses, including hypertension and cardiovascular disease. This demonstrates that this diet may also impact diabetes cases in the region. But it is vital to remember that the diagnosed instances are concentrated in this region. As a result of the fact that so many individuals have not yet been recognized, many professionals assert that it is impossible to pinpoint the specific demographic and geographic area that has a high incidence of Diabetes. Another significant determinant in the development of type 2 diabetes is a person’s socioeconomic status. It has been shown that a lower socioeconomic status is associated with a higher frequency of metabolic Diabetes in the general population (Suwannaphant, Laohasiriwong, Puttanapong, Saengsuwan & Phajan, 2017). A variety of circumstances may cause this fact. As was mentioned in class, many residents in lower socioeconomic areas lack access to a nearby healthful food shop. For the family to utilize, there aren’t enough parks close by. Because they are more costly and hence less accessible to the general public, healthier fast meals are less common. Like a domino effect, each of these variables, beginning with one’s SES, increases diabetes incidence. Predisposing factors: Inactivity and obesity among Americans are the two leading causes of type 2 Diabetes in the nation (Qin et al., 2010). Most individuals with this disease (not all) are overweight and are thought to be inactive. These two factors are responsible for 90–95 % of all instances of Diabetes that are diagnosed in the country (ADA, 2022). These people are especially vulnerable because their bodies have an overabundance of fat-storing adipose tissue, which reduces the quantity of insulin produced. This happens due to the insensitivity of the muscle and liver, which raises blood glucose levels. Studies have tested the hypothesis that increasing physical exercise would help prevent Diabetes. The research revealed that obese or overweight adults who improved their activity level decreased their likelihood of developing Diabetes or, if they had already been diagnosed, decreased the potential negative effects (ADA, 2022). The study’s findings indicated that obesity and inactivity account for 29.4% of instances. Their lack of physical exercise impacts only 6.4% of the trial subjects. The researchers concluded that people with type 2 diabetes are more likely to be overweight and sedentary. Aside from that, those who are overweight or physically inactive still have a significant chance of having this kind of Diabetes. Data patterns: Trends for type two diabetes have considerably risen throughout the years—many decades. According to data from 1958, 1.58 million persons, or 93% of the population, had the condition (CDC, 2017). Over the years, this figure rose sharply, reaching 23.35 million cases, or 7.40% of the population. Again, these figures only apply to the people who have been given a diabetes diagnosis. Because many people do not know they have Diabetes, it must be understood that these data are not very accurate. Another factor to consider is that since the statistics from 2015, the numbers have grown. The prevalence of Diabetes in the United States has been steadily rising, according to the statistics presented. This indicates that the problem has not been sufficiently addressed at a high enough level for it to be resolved. The growing diabetes cases, however, are not quite “on track” for the future decade, Healthy People 2030. There is a great chance that the health problem will be successfully treated if additional information regarding this ailment is obtained and the target moves beyond the developing stage. Intervention suggested: Every doctor should check their patients for this ailment at every annual appointment since it is becoming more prevalent among youngsters. Blood glucose levels and other indications and symptoms may be measured by obtaining a simple blood panel. The focus should be primarily on those over 45, people of Pacific Islander descent (by race), overweight, and people with lower levels of physical activity. Due to their high-risk status, these groups should be targeted. The fact that the doctors are doing tests on populations at risk before being given a health issue diagnosis qualifies this as a primary preventive strategy. Everybody is screened yearly so that even the most minor issue may be attentively watched. Patients with yearly screenings are more likely to prevent and access better treatment options. The patient will have a better overall experience if they know the dangers and techniques to manage the sickness in advance. Once people are aware of their illness, they may change their lifestyle, eating habits, exercise routines, and medicines to manage such health concerns. This ailment is curable, there are ways to lessen the symptoms, and you may still lead a regular life. The first important step is to diagnose and check for the health issue. Conclusion: Overall, type two diabetes is one of the health issues addressed under Healthy People 2030. This target does not yet have reliable data, indicating that it is still in the development stage. If this ailment is still at the proper stage, educating the public about it will be very important for screening and prevention. The chance of acquiring this illness depends on many factors, including SES, race, gender, and age. Along with every patient’s yearly screening, these high-risk areas should also undergo additional screening. This decade should see efforts taken to avert this problem to some extent. Reference ADA. (2022). Statistics about Diabetes. Statistics About Diabetes CDC. (2017). Long-term trends in Diabetes CDC. (2022). National Diabetes Statistics Report. Centers for Disease Control and Prevention. CDC. (2017). New CDC report: More than 100 million Americans have Diabetes or prediabetes. Centers for Disease Control and Prevention. CDC. (2021). Type 2 diabetes. Mayo Clinic. (2021). Type 2 diabetes.. NCBI. (n.d.). Mortality trends in type 2 diabetes. ODPHP. (2021). Increase the proportion of eligible people completing CDC-recognized type 2 diabetes prevention programs – DD0. and-data/browse-objectives/diabetes/increase-proportion-eligible-peoplecompleting-cdc-recognized-type-2-diabetes-prevention-programs-d-d01 Qin, L., Knol, M. J., Corpeleijn, E., & Stolk, R. P. (2010). Does physical activity modify the risk of obesity for type 2 diabetes: A review of Epidemiological Data. European journal of epidemiology. Suwannaphant, K., Laohasiriwong, W., Puttanapong, N., Saengsuwan, J., & Phajan, T. (2017). Association between socioeconomic status and diabetes mellitus: The National Socioeconomics Survey, 2010 and 2012. Journal of clinical and diagnostic research: JCDR.