BSNFP4010 ORGANIZATIONAL EVALUATION

BSNFP4010 ORGANIZATIONAL EVALUATION

A primary health concern would be tobacco use after observing many adults smoking cigarettes on the streets, especially during the evening outside of restaurants and bars.

In addition, there were many stores advertising the sale of tobacco, including smoke shops.According to the Suffolk Needs Assessment, the city of Patchogue has high rates of adult respiratory conditions and pneumonia, which is associated with tobacco use (The New York State Department of Health website, 2017)

According to the statistics, the second largest population of the city of Patchogue are Hispanics at 32.8%, which has been consistent since 2005, making the most common non-English language Spanish.

Not only are the Hispanics the second largest ethnic group, but also they are the fastest growing group in the United States. (TheUnited States Census Bureau website, n.d.)

Therefore, it is necessary to recognize factors that encourage smoking cessation so that treatments can be tailored for the ethnic group. The Organization Suffolk County has implemented a program to encourage smoking cessation amongst thepopulation since smoking tobacco is the number one preventable cause of death in the United States.

The program focuses on three areas including prevention, assisting individuals to quit and law enforcement. The first program is school based that provides health education to prevent smoking tobacco.

The second were programs implemented to assist smokers to quit using behavior modification and pharmaceuticals.

Finally, the last program focuses on law enforcement which prohibits sale of tobacco to minors under the age of 21 and enforces clean indoor air (The Suffolk County Community He……………………………………

BSNFP4010 ORGANIZATIONAL EVALUATION ESSAY

ESSAY 2

Nursing homework help Post 1

Based on my area of interest, the quantitative research article that I found related to my topic is titled as Barriers to prevention: Knowledge of HPV, cervical cancer, and HPV vaccination among African-American women. The study is a cross-sectional quantitative survey of African-American women and was done to determine the knowledge of HPV, cervical cancer, and Human Papilloma Virus vaccination among African-American women. Cross-sectional studies are usually done to assess the conditions of a group or population at a particular time. The study that I chose is non-experimental research as the researcher did not intervene anything and the purpose was to assess the knowledge among African-American women regarding HPV, cervical cancer and explore the barriers to HPV vaccination(STROHL, Mendoza, Ghant, Cameron, Simon, Schink (…), 2015).

Data were selected using convenience sampling in the research study that I selected. Convenience sampling is a type of non-probability sampling, and inconvenience sampling, those subjects are selected which are in close proximity or are convenient to select for the researcher (Elfil, Negida, 2017). Convenience sampling is the widely used method of sampling. The investigators select the subjects according to their accessibility and availability, so the major advantage of convenience sampling is that it is easy to conduct, time-saving and inexpensive. However, the major disadvantage associated with convenience sampling is that it is likely to be biased and is not considered as the representative of the whole population(Etikan, Musa, Alkassim, 2016).

The study that I selected is a non-experimental study in which variables cannot be altered or manipulated by the researcher, so there was no random assignment to the research groups in the study. The researcher selected the subjects using convenience sampling from the community fair in Chicago. The questionnaire-based survey was done by the researcher and the women selected for the study aged 18-70 years. The study results demonstrated a low level of knowledge regarding HPV, HPV screening, and cervical cancer(STROHL, Mendoza, Ghant, Cameron, Simon, Schink (…), 2015).

Post 2,

The Quantitative Study I chose is in regards to the use of Intravenous Insertion and Cannulation training in patient-care settings. This pertains to my specialty track of Nursing Education because it evaluates whether regular implementation of IV training improves nurses’ and other care provider’s ability to successfully initiate IVs, and helps maintain that rudimentary yet essential skill. The article is: A Quantitative Pilot Study Evaluating the Effectiveness of a Venepuncture and Cannulation study day, and the permalink is provided below.

After reading the assignment and lesson this week, and of course reading the above article, I have determined the research study design to be quasi experimental. The tool used to analyze the effectiveness of the IV course was an eight-question questionnaire; all questions were closed. The questionnaire was given to every single course participant over one year (n-344), however only 28% (n-94) of the participants responded (Wright, 2009). There are many variables that likely affected the actual sample group, including time of year, personal priorities or values, age, gender, location of course, instructors, varying occupations, etc. That takes away from the randomization of the sample, and there was no control group used for comparison. According to Polit & Beck (2017), “Quasi-experiments (trials without randomization) involve an intervention but lack a comparison group or randomization” p. 137.

I believe the appropriate representation for the research study article is X for intervention, since the IV course was the intervention being assessed among the sample. A probability sampling type was used, since each element in the population had an equal, independent chance of being selected (Polit & Beck, 2017). Probability sampling can be beneficial in representing the population more accurately and eliminating bias, however it can be impractical in many studies to find a list of each member of an entire population. There was no random assignment to research study groups in this study. Randomization strengthens studies because if people are randomly assigned, there is no systematic bias in the groups with regard to attributes that may affect the dependent variable (Polit & Beck, 2017).