Assignment: HLT-362 Week 2 Article Analysis 1

Assignment: HLT-362 Week 2 Article Analysis 1

Assignment: HLT-362 Week 2 Article Analysis 1

The interpretation of research in health care is essential to decision making. By understanding research, health care providers can identify risk factors, trends, outcomes for treatment, health care costs and best practices. To be effective in evaluating and interpreting research, the reader must first understand how to interpret the findings. You will practice article analysis in Topics 2, 3, and 5.

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For this assignment:

Search the GCU Library and find three different health care articles that use quantitative research. Do not use articles that appear in the topic Resources or textbook. Complete an article analysis for each using the “Article Analysis 1” template.

Refer to the “Patient Preference and Satisfaction in Hospital-at-Home and Usual Hospital Care for COPD Exacerbations: Results of a Randomised Controlled Trial,” in conjunction with the “Article Analysis Example 1,” for an example of an article analysis.

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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.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to LopesWrite. A link to the LopesWrite technical support articles is located in Class Resources if you need assistance.

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Article Analysis
Analysis of research is an essential component for nursing students in health care as it allows them to interpret the findings and evidence to integrate into their practice environment to enhance care provision. Through effective comprehension of research and evidence, healthcare providers can single out risk factors, trends, and outcomes for treatment, and best practices (Riegel et al., 2021). The purpose of this paper is to analyze three quantitative research articles on different aspects of mental health and strategies to improve access.
Article Citation and Permalink (APA format) Article 1
Uddin, M. N., Bhar, S., & Islam, F. M. A. (2019). An assessment of awareness of mental health conditions and its association with socio-demographic characteristics: a cross-sectional study in a rural district in Bangladesh. BMC health services research, 19, 1-11.
DOI: 10.1186/s12913-019-4385-6. Article 2
Potgieter, M. F., & van Rooyen, F. C. (2017). Perceptions of mental healthcare consumers regarding their conditions. Mental Health, Religion & Culture, 20(10), 1055-1067.
DOI:10.4102/sajpsychiatry.v24i0.1317 Article 3
Sánchez-Ortega, M. A., Lluch-Canut, M. T., Roldán-Merino, J., Agüera, Z., Hidalgo-Blanco, M. A., Moreno-Poyato, A. R., … & Puig-Llobet, M. (2022). Nursing Intervention to Improve Positive Mental Health and Self-Care Skills in People with Chronic Physical Health Conditions. International Journal of Environmental Research and Public Health, 20(1), 528.
https://doi.org/10.3390/ijerph20010528
Point Description Description Description
Broad Topic Area/Title The article evaluates the level of awareness of mental health conditions and the related socio-demographic characteristics in a rural setting in Bangladesh. Perceptions of mental health care consumers regarding their conditions The article evaluates nursing interventions to enhance positive mental health and self-care in people with chronic physical health conditions.
Identify Independent and Dependent Variables and Type of Data for the Variables Independent Variables
Level of awareness of mental health condition
Dependent Variables
Age, education level, types of mental health condition, socioeconomic condition,
Type of Data for Variables
Discrete variables
Age, gender, levels of education Independent variables
Cultural beliefs and practices
Religious beliefs
Dependent Variables
Mental health awareness level and literacy
Type of Data for the Variable
Nominal data: level of awareness of mental health condition
Ordinal: results of the findings Independent variables
Inclusion criteria; 45 years and above, chronic health issues
Dependent variables
Self-care skills data
Type of Data for the Variables
Ordinal variable:
Sociodemographic data based on eight variables like age, sex, marital status, and education level among other aspects
Population of Interest for the Study The population of interest is public health care providers, especially mental health workers. The population of interest for the study entailed patients in outpatient department and inpatient in selected mental health settings in a facility in South Africa and mental health providers to enhance their cultural and religious beliefs’ sensitivity on mental health. The population of interest comprise nurses who should educate patients on interventions and patients who should implement the self-care skills to enhance their mental health due to their chronic physical health situations.
Sample Sample comprised 2425 adults between 18-90 years Ninety-four (94) patients 44; the intervention group comprised 22 while the control group also had 22 participants.
Sampling Method Multi-stage cluster random sampling approach Systematic sampling based on inclusion and exclusion criteria Random sampling based on the inclusion criteria.
Descriptive Statistics (Mean, Median, Mode; Standard Deviation)
Identify examples of descriptive statistics in the article. The study used descriptive statistics like the mean or average to denote various percentages of prevalence of awareness of mental health condition, level of education, occupation and age among other aspects relevant to the research.
The authors also use standard deviation to show variations in the The study used descriptive statistics like the mean age of participants at 36 years. The article also uses descriptive statistics in presenting percentage of participants bases on different aspects like education. The descriptive statistics in the study included the mean as illustrated by the average number of questions asked on the questionnaire and the standard deviation associated with the figures as well as the variance among the different demographics.
Inferential Statistics
Identify examples of inferential statistics in the article. Inferential statistics from the article entails evaluating level of awareness and self-seeking attitudes and behavior associated with mental health conditions based in age, gender, education level and other socioeconomic factors using Pearson Chi-square tests. Inferential statistics in the article advance that different factors impact the perceptions of mental health consumers concerning their mental status and condition. The statistics are categorical that mental health providers should be aware of the cultural and religious beliefs to develop better management plans and ensure therapeutic interactions with patients. Inferential statistics based on the article advance that individuals who pursued self-care skills had better positive mental health.

Conclusion
Article analysis is a fundamental part of obtaining evidence for application in nursing practice to improve patient care and interventions. The analysis of these quantitative article shows different issues that impact mental health provision and what providers can do to address such issues. The analysis shows increased need to develop a critical and analytical perspective among mental health providers to evaluate and apply the such evidence in clinical settings.

Reference
Riegel, B., Dunbar, S. B., Fitzsimons, D., Freedland, K. E., Lee, C. S., Middleton, S., Stromberg, A., Vellone, E., Webber, D. E., & Jaarsma, T. (2021). Self-care research: Where are we now? Where are we going? International Journal of Nursing Studies, 116, Article 103402. https://doi.org/10.1016/j.ijnurstu.2019.103402

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