HLT 362 Article Analysis 1

HLT 362 Article Analysis 1

HLT 362 Article Analysis 1

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Article Analysis 1

Article Citation and Permalink (APA format) Bahamondes, L., Bahamondes, M. V., Modesto, W., Tilley, I. B., Magalhaes, A., e Silva, J. L. P., … & Mishell Jr, D. R. (2016). Effect of hormonal contraceptives during breastfeeding on infant’s milk ingestion and growth. Fertility and sterility100(2), 445-450.

Permalink: https://doi.org/10.1016/j.fertnstert.2013.03.039

 

Twigg, D. E., Kutzer, Y., Jacob, E., & Seaman, K. (2019). A systematic quantitative review of the association between nurse skill mix and nursing‐sensitive patient outcomes in the acute care setting. Journal of advanced nursing75(12), 3404-3423.

 

Permalink: https://doi.org/10.1111/jan.14194

Havaei, F., Dahinten, V. S., & MacPhee, M. (2019). Effect of Nursing Care Delivery Models on Registered Nurse Outcomes. SAGE Open Nursing5, 2377960819869088.

Permalink: https://journals.sagepub.com/doi/full/10.1177/2377960819869088

Point Description Description Description
Broad Topic Area/Title The study/topic is to study the impacts of hormonal contraceptives during breastfeeding on baby’s growth and milk ingestion. The topic of the research attempts to explore the general effects of contraceptives on breastfeeding children and the ingestion of milk. The study’s main topic is to show the association between the nurse skill mix and the nursing-sensitive patient results in acute care settings. It has been hypothesized that high skilled nurses with high levels of experience often influence effective patient outcomes. The study, therefore, attempts to investigate the correlation or association between the nurse skill mix and the nursing-sensitive patient outcomes in acute care settings. The study’s main topic is the impacts of nursing care delivery models on the registered nurse outcomes in different healthcare settings. It has been theorized that nursing care delivery models improve efficiency, a scenario that leads to effective patient outcomes in the treatment process.
Identify Independent and Dependent Variables and Type of Data for the Variables Independent variable: Level of hormonal contraceptives (continuous variable with a normal distribution)

Dependent Variable: Rate of milk ingestion in infants (continuous and normally distributed variable)

Independent variable: Nurse skill mix (continuous and normally distributed variable)

Dependent variable: Nursing sensitive patient outcome (continuous random variable)

Independent variable: Nursing care delivery model (categorical variable)

Dependent variable: Registered nurse outcome (continuous variable with a normal distribution of data)

The whole process of study involved determining the correlation between the independent and dependent variables.

The population of Interest for the Study The population of interest in this study involves lactating mothers who are using hormonal contraceptives for birth control. The respondents are selected from various healthcare settings. Specifically, mothers attending clinics for their infants were used in the study process. Patients on postpartum day 42 were mainly considered in the research process. The population of interest in the study involves patients and nurses operating in acute care settings. The study mainly involved nurses with different skills and experiences. Also, there were involvement other healthcare professionals such as doctors and physicians. The population of interest in the study includes registered nurses from different healthcare settings. The respondents mainly involved registered nurses undertaking various treatments in healthcare settings.
Sample The sample size used in the study was 40. In other words, 40 breastfeeding women were selected in the study. They were given hormonal control contraceptives and followed over a given period. There were a total of 63 respondents selected for the study. These respondents included were selected from different healthcare settings. The selected participants confirmed their willingness to participate in the study through the signing of consent documentation. A small sample size of 38 respondents was identified to take part in the study. All the respondents were presented with the questionnaires where they were able to fill the information required for the purposes of analysis.
Sampling Method A simple random sampling technique was used to select study participants or respondents. Out of the population identified, the participants were picked randomly, and they were to sign the consent documentation to confirm their willingness to participate in the study. A simple random sampling technique was used to select the study participants. The respondents were arbitrarily selected from the target population. A simple random sampling method was used to identify the respondents. The study participants were selected randomly from the population. They were then provided with the consent documentation to confirm their willingness to participate in the study.
Descriptive Statistics (Mean, Median, Mode; Standard Deviation)

Identify examples of descriptive statistics in the article.

Some of the descriptive statistics used in the study include:

·         Mean

·         Median

·         Mode

·         Maximum

·         Minimum

·         frequencies

Some of the descriptive statistics used in the study include:

·         Mean

·         Median mode

·         Maximum

·         Minimum

There were descriptive statistics used in the study, which include:

·         Mean

·         Median

·         Frequencies

·         Percentages

The descriptive statistics indicated the attributes of both the dependent and independent variables in the whole process of the study.

Inferential Statistics

Identify examples of inferential statistics in the article.

Some of the inferential statistics used in the study include:

·         t-test

·         Mann-Whitney test

·         Fisher exact test

 

Some of the inferential statistics used in the study include:

·         pre‐test–posttest

·         Descriptive correlations

 

 

The inferential statistics evident in the study include:

·         hierarchical multiple regression

·         chi-square analyses

·         Analysis of variable (ANOVA)

HLT 362 Article Analysis 1 Essays
HLT 362 Article Analysis 1 Essays

Analysis Example 1,” for an example of an article analysis.

While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines, which can be found in the APA Style Guide, located in the Student Success Center. HLT 362 Article Analysis 1

Read Also: HLT 362 Article Analysis 2 Assignment

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HLT 362 Article Analysis 1

Topic 1 DQ 2

Discuss why it is important for a person working in health care to understand statistical concepts. Provide an example of how statistical data is used in your organization or specialty area today and what you are expected to do with this information as a practitioner.

REPLY TO DISCUSSION

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An understanding of statistics is essential if the numerous reports and documents issued within the healthcare industry are to be

HLT 362 Article Analysis 1
HLT 362 Article Analysis 1

scrutinized and considered critically. There has been an increase in the development of research-based and evidence-based practice (EBP) in healthcare over the last two decades. Understanding statistics and analysis helps healthcare personnel make sense of the research studies that underpin EBP and enables practitioners to undertake their investigations. Health care practices are not based on research and are not assessed, planned, and evaluated to see if it makes a difference in patient care, leading to unsafe practices and patient harm (Scott & Mazhindu, 2014).

In the operating room, we use statistical data to evaluate patient care, such as that related to patient positioning pressure injuries. Statistics are also used to develop quality measures or metrics related to surgical on-time starts, operating room turnover times, surgeon block utilization, case cancellations on the day of surgery, and patient through-put times. Other applications of statistics in the operating room are staffing plans, cost per case, materials management, and resource allocation. This data is used for best practices in patient care, operational room efficiency, and value-based healthcare practices within the hospital.

Reference:

Scott, I. & Mazhindu, D. (2014). Statistics for Healthcare Professionals: An Introduction. Thousand Oaks, California: SAGE Publications, Ltd.

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Irene,

Your patient positioning patient injuries example was remarkable.

Unread

Hi Irene,

Statistical information is invaluable in determining what combination of goods and services to produce, which resources to b allocation in producing them and to which populations to offer them. Healthcare statistics are critical allocative and production efficiency. Inevitably, allocation decisions involve trade-offs-off the costs of lost or missed opportunities in choosing one economic decision over another. Reliable statistical information minimizes the risks of health care trade-offs.

Reference:

Healthfully, (2022). Why Are Statistics Important in the Health Care Field? healthfully.com/why-are-statistics-important-in-the-health-care-field-4856543.hml

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Understanding statistical concept is important in health care because it helps to get the best possible outcomes for the patients and helping them to get the best care possible, it will also help to identify patient care trends by using data.

Statistics is greatly influenced in health care operation in the electronic medical records units, because they contains lots of important information’s such as birth weights, birth rates, morality rates, diagnosis, and testing result of the patients, which can help to answer questions through data analysis (Helbig & Ambrose, 2018). Due to the analyzed data, there would be quality care delivery to the patients (Helbig & Ambrose, 2018).

As an organization, statistics helps to know how many people in the country have a disease or how many people are infected with dsease within a certain period of time.

Know the affected age group by their location, race, ethnic group, sex, age, profession, income level, and level of education. Which will help to identify health disparities. Furthermore, it helps to know whether a particular treatment is safe and effective for their patients. Also, to know the birth and death rate, how many people have access to and use health care in the organization in a period of time. The quality and efficiency of the health care that we are rendering to the patients. Understanding the impact of government programs and policies on health care delivery or systems. Moreover, identifying the risk factors for different type of diseases (Medlineplus, 2020).

All these will help nurses to care for their patients appropriately, because the data would have helped identify some weak or strong. It can also help to get needed material or resources needed for patients care.

 

Statistical knowledge help us to use the proper methods to collect the data, employ the correct analyses, and effectively present the results. Statistics is a crucial process behind how to make decisions based on data, and make predictions. Statistics allows you to understand a subject much more deeply.

 

 

 

Helbig, J. & Ambrose, J. (2018 ). Applied statistics for health care. Retrieved from https://lc.gcumedia.com/hlt362v/applied-statistics-for-health-care/v1.1/