PUB 550 Explain the relevance of statistics in the planning, implementation, and evaluation of a health promotion intervention

PUB 550 Explain the relevance of statistics in the planning, implementation, and evaluation of a health promotion intervention

PUB 550 Explain the relevance of statistics in the planning, implementation, and evaluation of a health promotion intervention

Health promotion is the exercise of encouraging population to take care of their health and be aware of anything that may affect it, through increasing healthy habits, health awareness programs and overall lifestyle. This method involves programs for the general public as well as communities at higher risk of poor health outcomes. The majority of the time, it focuses on behavioral risk factors, such as Overweight, tobacco consumption, nutrition and lack of physical activity, well being, accident prevention, substance misuse, alcohol regulation, HIV-related health behavior, and sexual health.

From this brief overview of what health promotion entails, it is clear that careful preparation, execution, and assessment are required for a successful outcome. Statistical information aids in the proper collection of data, application of appropriate analyses, and accurate presentation of the findings. Statistics is an important part of making health discoveries, making data-driven decisions, and making forecasts. Statistics allows for a more in-depth understanding of a topic.

The compilation of data and careful analysis of the results makes it easier to draft and plan population health needs. These statistical data are critical for the first stage of health promotion because they will aid the task force in gaining a greater understanding of the community’s key health challenges. What are the most likely behavioral risks to occur? As a result, statistics would be useful in developing a health promotion prevention strategy to prevent this behavior from escalating or getting out of hand.

Statistics will play a key role in the implementation phase of a health promotion action plan once again. With the use

PUB 550 Explain the relevance of statistics in the planning, implementation, and evaluation of a health promotion intervention
PUB 550 Explain the relevance of statistics in the planning, implementation, and evaluation of a health promotion intervention

of collected and evaluated data, statistics will assist in the carrying out and implementation of a strategy by designing a process, model idea, and norm for the population. The positive aspects of the health intervention approach can be defined using numerical data. In this way, statistics are an important part of evaluating and analyzing health promotion programs. Basic figures assist the task force in communicating the outcomes of the health promotion initiative and in comprehending the population’s findings. Examination of the community sample offers opportunities to display, explain, or identify the outcomes of the health promotion intervention program by communicating about the population of which the sample is a subset.

 Reference:

 

Emro.who.int. 2021. WHO EMRO | Health promotion and disease prevention through population-based interventions, including action to address social determinants and health inequity | Public health functions | About WHO. [online] Available at: <http://www.emro.who.int/about-who/public-health-functions/health-promotion-disease-prevention.html> [Accessed 1 May 2021].

 

Statistics, W., 2021. Why Nurses Need Statistics. [online] Nevada State College Online RN to BSN Degree Program. Available at: <https://online.nsc.edu/articles/rn-bsn/nurses-need-statistics.aspx> [Accessed 1 May 2021].

 

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Statistics in a healthy living life style can be challenging. It can be challenging in a mental health behavior for example. Ill use myself as a example. Before I moved home I was depressed and struggled with it.. I didn’t have health insurance at the time because I was denied and my job said I wasn’t qualified for it. So when I moved home I was seen at IHS and later told i have diabetes type 1. I worked out , but my eating habits were not healthy and where they needed to be. So it was hard for me to transition to a healthy eating habits. I still struggle to this day. Mentally sometimes food hold a memory, for example I love mac and chees with smoked sausage because it reminds me of a memory as a child when my grandfather use to make it for us and it was a happy memory so when I eat it, it makes me happy. When we are in the process or forced to change our bad eating habits to good one, there are some that struggle with it because they don’t want those memories to fade away. So would be more of a behavioral problem as well as a mental issue as well. Because changes, lets face it we do not like change at all. We are human. Unfortunately, less than 3 percent of the adults in the study achieved all four of the healthy living measures, the researchers found.

 

References

 

https://www.cdc.gov/nutrition/healthy-food-environments/index.html

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Health Statistics is relevant to the Public Health Sectors in many ways, for example they provide the objective data required for policy protection including viable formulation of public policies and help conceptualize abstract concepts such as health inequalities, social determinates, and policy implementation (Bartkowiak & Fineagan,2004). These components are essential as they provide the health care providers with reliable data which, ultimately provides valid evidence based practices (Jongen, McCalman, & Bainbridge, 2017). As a future public health nurse, I would envision using public health statics to increase awareness by using statical data including key measures, evidence, and statics, specifically on the outbreaks of the communicable diseases within the community. Additionally, health statics can help raise insight into the need of improving public health by raising awareness based off the data.

 

References

 

Bartkowiak, B. A., & Finnegan, B. J. (2004). Health statistics. Clinical medicine & research2(3), 189–190. https://doi.org/10.3121/cmr.2.3.189

Statistics are critical in determining and comprehending whether a population is affected by a particular health condition and what could be the cause of that problem. These statistics are crucial because they can aid in the targeting of a health issue through careful preparation, execution, and prioritization of the usage of specific health services, as well as proper monitoring and assessment of the intervention.

I can envision statistics in my future career as a Public Health Official in relation to collecting a lot of data in terms of disease research when it comes to quantitative analysis in order to conduct evidence-based research. Statistics is mostly evidence-based and it is critical to ensure the data that you are collecting are true, accurate, and not manipulated. Especially if treatment is the ultimate goal of gathering that data. Disease prevention is understood as specific, population-based, and individual-based interventions for primary and secondary (early detection) prevention, aiming to minimize the burden of diseases and associated risk factors.

 

Reference

 

World Health Organization. (n.d.). Health Promotion and disease prevention through population-based interventions, including action to address Social Determinants and health inequity. World Health Organization. Retrieved June 19, 2022, from http://www.emro.who.int/about-who/public-health-functions/health-promotion-disease-prevention.html 

 

Jongen, C. S., McCalman, J., & Bainbridge, R. G. (2017). The Implementation and Evaluation of Health Promotion Services and Programs to Improve Cultural Competency: A Systematic Scoping Review. Frontiers in public health5, 24. https://doi.org/10.3389/fpubh.2017.00024

Statistics is crucial in public health practice and research. Statistics enable the collection and analysis of data relevant to the planning, implementation, and evaluation of health promotion (Hayat et al., 2017). Health promotion entails disease monitoring (risk factors, emerging health threats), policy development, and enforcement. Therefore, statistics provide data on health trends, health disparities, and predisposing factors among vulnerable populations. In essence, statistics help in scientific discoveries of interventions implemented to promote public health. Healthcare professionals rely on statistical information to make informed clinical decisions. Statistical information is essential in making predictions regarding disease occurrence, thus promoting preparedness (Hayat et al., 2017). Healthcare professionals depend on statistical data from births, deaths, infections, and disease incidences. In addition, statistics enable healthcare providers to design interventions targeting the highly prevalent groups.

Statistics is a tool for policy formulation. Public health practitioners use statistically analyzed information to influence the development of policies (Hayat et al., 2017). In essence, statistics influence evidence-based policy making. Scientific researchers gain insights into policy-making from statistical evidence that reflects healthcare concerns, thus raising the need for public health policies. According to Hayat et al. (2017), statistics help evaluate public health efforts. Furthermore, statistics are essential for public health research programs. Most importantly, statistics provide evidence and facts that support meaningful conclusions in public health research. Indeed, statistics is a valuable tool in planning, implementing, and evaluating interventions in public health.

In my future career as a public health practitioner, I envision applying statistics in epidemiology to understand disease etiology and development. I can collect, analyze and interpret statistical data regarding outbreaks of infectious diseases. I can use statistical methods to analyze data and identify prevalent groups. Statistics is essential in studying the predisposing factors for diseases and infections (Matranga et al., 2021). In addition, I can use the gathered statistical evidence in developing interventions to prevent the rapid spread of infectious agents.

References

Hayat, M. J., Powell, A., Johnson, T., & Cadwell, B. L. (2017). Statistical methods used in the public health literature and implications for training of public health professionals. PloS One12(6), e0179032. https://doi.org/10.1371/journal.pone.0179032

Matranga, D., Bono, F., & Maniscalco, L. (2021). Statistical Advances in Epidemiology and Public Health. International Journal of Environmental Research and Public Health18(7), 3549. https://doi.org/10.3390/ijerph18073549