Community Needs and Health Screening Initiative

Introduction

Preventive care is a holistic approach to managing diseases by ensuring adequate screening, checkups, and counseling to avoid health risks. Early detection is likely to save lives and lower the cost of medication. The United States Preventive Taskforce provided A and B recommendations on preventive care screening for the early detection and management of diseases. One of the recommendations by the task force is screening for obesity. Obesity prevalence has increased exponentially, and regular screening is key to managing the situation. The task force recommended that children and adolescents be screened and placed under behavioral change initiatives to improve their health status. Screening and initiating behavioral change initiatives is the key to containing obesity prevalence.

Conceptual Model

Healthcare promotion programs succeed when the individual’s beliefs and ideology about health are understood. The health belief model is a perfect theoretical framework to describe individual behaviors and how it can predict future changes (Green et al., 2020). Predicted future changes can be used to plan the best ways of preventing diseases (Haththotuwa et al., 2020). After screening, the model helps develop a program to manage their eating and physical exercise to overcome the risk factor (Green et al., 2020). The health belief model applies to the initiative because it will help develop programs that help children and adolescents acquire healthy lifestyles to avoid obesity.

Population Screening Purpose

The screening for obesity is recommended for children above six and adolescents in the B category and commenced in 2017. Obesity prevalence for children and adolescents is 19.6% which translates to 5% mortality of the target population annually (Wang et al., 2020). The target population’s demographic characteristics affect the prevalence and mortality rate. Blacks and Hispanics have a higher percentage prevalence of 22.5% and 21.0%, respectively (Wang et al., 2020). The nutrition levels and a screening rate of 34% can be improved through the successful program (Wang et al., 2020). Further, the obesity risk factors were higher among girls at 23.2% compared to boys at 18.8% (Endalifer & Diress, 2020). The programs to eliminate it must, therefore, consider sex differences.

Location Setting

The screening program in Florida must be flexible to serve people from all walks of life. The Florida bouquet hall for a wedding is the most auspicious place to ensure that all the people get a chance to be screened. The tents will be stationed outside the hall from Monday to Friday. Services will run from 7:00 am to 1:00 pm and 2:00 pm to 5:00 pm.

Screening Activity with Explanation of Outcomes

Education Component Description Measures Tested

The education component is the most important in the practice as it ensures that all participants know the risk factors and the best ways of stopping them. Since the key risk factors for obesity are lifestyle, physical exercise, and genetics, the participants will be tested on the risk factors. Once the risk factors are understood, the tested measure for categorization is BMI.

Evidence that the Tests Are Aligned With Guideline Recommendations

The BMI range used to determine the participants’ health outcomes is evidence that the tests align with guideline recommendations. The recommendation states that during the screening, the body mass index (BMI) range will be used to categorize people as either healthy, overweight, or obese so that the prevention programs capture all vulnerable populations. NiceJob4.9 is the software used to follow up on all referrals and ensure that all the cases are seen by a qualified healthcare practitioner (Wang et al., 2020). Referral helps to address the issues in a timely manner.

Measurable Outcome Goals

The three measurable outcome goals are determining the percentage of obese, healthy and underweight children and adolescents, unveiling the main causes for the condition, and device plans to treat and prevent the disease. The BMI result shows the outcomes and the healthy range is between 18.5 and 24.9. An outcome below 18.5 is regarded as underweight, while 25.0 to 29.9 is regarded as overweight. Finally, a value above 30 is considered obese and all outcomes require appropriate action for prevention to be achieved.

Explanation of How Each Outcome Is Affected by the Activity

The outcomes are affected by the activity because the value obtained categorizes the participants accordingly. The screening activity displays results that affect the first outcome directly. The second outcome is affected by the test as the value determines a participant’s diet, genetics, and quality of physical exercise. Finally, the intervention is determined to be affected by the activity since each BMI value has a specific plan to reduce obesity risk.

Cost Analysis Statement

The program’s success is determined by the budget for the screening program implementation and the outcome. Table 1 below shows the estimated budget for the screening program. The cost incurred is small compared to the actual treatment cost if the obesity prevalence is not short-lived. The annual budget for obesity in Florida is $300 million (Endalifer & Diress, 2020). The prevention budget is, therefore, far less than the existing budget.

Table 1: Detailed cost analysis for the screening

Number Item Estimated Cost
1. Renting of the facility $20,000
2. Cost for educators/volunteers $45,000
3. Testing tools/equipment $37,000
4. Supply of Training Kits/stationery $47,500
5. Any attendee cost $25,000
6. Total $174,500

Conclusion

Obesity is one of the global healthcare concerns, with prevalence rising exponentially. The US government set up a prevention task force, and one of the recommendations was screening children and adolescents. The proposed budget is adequate to ensure that people have a chance for screening and be admitted to the correct preventive mechanism and behavioral change to manage obesity and improve the quality of life in the county.

References

Endalifer, M. L., & Diress, G. (2020). Epidemiology, predisposing factors, biomarkers, and prevention mechanism of obesity: A systematic review. Journal of Obesity, 2020. Web.

Green, E. C., Murphy, E. M., & Gryboski, K. (2020). The health belief model. The Wiley Encyclopedia of Health Psychology, pp. 211–214. Web.

Haththotuwa, R. N., Wijeyaratne, C. N., & Senarath, U. (2020). A worldwide epidemic of obesity. In Obesity and Obstetrics (pp. 3–8). Elsevier. Web.

Wang, Y., Beydoun, M. A., Min, J., Xue, H., Kaminsky, L. A., & Cheskin, L. J. (2020). Has the prevalence of overweight, obesity, and central obesity leveled off in the United States? Trends, patterns, disparities, and future projections for the obesity epidemic. International Journal of Epidemiology, 49(3), 810-823. Web.

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