NURS 8201 WEEK 7 DISCUSSION: USE OF REGRESSION ANALYSIS IN CLINICAL PRACTICE

WEEK 7 DISCUSSION: USE OF REGRESSION ANALYSIS IN CLINICAL PRACTICE

Regression analysis provides the researcher with an opportunity to predict and explore future outcomes. Whether it is to determine prevention methods, promote opportunities for learning, or propose new treatments, looking towards the future can have a significant impact on patient care and sustained positive patient outcomes.

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This week, you explore regression analysis, paying particular attention to linear regression. Linear regression is used to “estimate the value of a dependent variable based on the value of an independent variable” (Gray & Grove, 2020). In your Discussion, you will apply your understanding of this statistical technique as it concerns use in a research study.

For this Discussion, you will select an article on a study to examine the strengths and weaknesses in the use of linear regression. Consider how you might remedy the weaknesses associated with the application of linear regression and reflect on how the findings of the study that you selected might contribute to various areas of your practice.

Reference: Gray, J. R., & Grove, S. K. (2020). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (9th ed.). Elsevier.

RESOURCES

Be sure to review the Learning Resources before completing this activity.

Click the weekly resources link to access the resources.

WEEKLY RESOURCES

TO PREPARE:

Review the articles in this week’s Learning Resources and evaluate their use of linear regression. Select one article that interests you to examine more closely in this Discussion.

Critically analyze the article that you selected and consider the strengths and weaknesses described.

Reflect on potential remedies to address these weaknesses, and how the findings from this study may contribute to evidence-based practice, the field of nursing, or society in general.

BY DAY 3 OF WEEK 7

Post a brief description of the article that you selected, providing its correct APA citation. Critically analyze the article by addressing the following questions:

What are the goals and purposes of the research study that the article describes?

How is linear or logistic regression used in the study? What are the results of its use?

What other quantitative and statistical methods could be used to address the research issue discussed in the article?

What are the strengths and weaknesses of the study?

Then, explain potential remedies to address the weaknesses that you identified for the research article that you selected. Analyze the importance of this study to evidence-based practice, the nursing profession, or society. Be specific and provide examples.

BY DAY 6 OF WEEK 7

Read a selection of your colleagues’ responses and respond to at least two of your colleagues on two different days in one or more of the following ways:

Ask a probing question, substantiated with additional background information, evidence, or research.

·Share an insight from having read your colleagues’ postings, synthesizing the information to provide new perspectives.

Offer and support an alternative perspective using readings from the classroom or from your own research in the Walden Library.

Validate an idea with your own experience and additional research.

Suggest an alternative perspective based on additional evidence drawn from readings or after synthesizing multiple postings.

Expand on your colleagues’ postings by providing additional insights or contrasting perspectives based on readings and evidence.

LAURA

De Groot, K., De Veer, A. J., Paans, W., & Francke, A. L. (2020). Use of electronic health

records and standardized terminologies.

Nursing documentation can raise the bar for nursing care because it is an essential source of information on patient’s needs and nursing interventions. Two examples of standardized terminology that should increase the accuracy of nursing documentation are the Omaha System and NANDA International. The introduction of electronic health records with standardized terminology may help nursing staff feel more assisted in providing nursing care, however, this is still up for debate. A cross-sectional survey with 667 Dutch registered nurses and certified nursing assistants was carried out using an electronic health record with the following objectives: to examine the standardized terminology used by nurses in electronic health records; to ascertain the extent to which they consider the use of electronic health records to be supportive; and to ascertain whether the standardized terminology used by nursing staff in electronic health records is associated with their sense of support. According to De Groot et al. (2020), the respondents were employed by hospitals, nursing homes, or mental health facilities.

Logistic or Linear Regression

The dependent variable in multiple linear regression analysis was the experienced support provided by electronic health records, while the independent variables were the use of standardized terminology (0=no, 1=yes) and sociodemographic characteristics (gender, age, educational attainment, healthcare setting). An analysis using multiple linear regression was then carried out to see whether there was a difference between different standardized terminology. The experienced support provided by electronic health records was the dependent variable in this analysis, while certain standardized terminologies and sociodemographic characteristics were the independent factors (Chi et al., 2017).

Statistical and Quantitative Techniques

Descriptive statistics were employed to characterize the characteristics of the respondents and provide an answer to the first and second research questions. The possible relationships between the use of standardized terminology and the respondent’s healthcare environment were also examined using Pearson’s chi-square test. A one-way ANOVA test was used to investigate if there was a difference in the degree to which respondents felt supported by the use of electronic health records between the respondents’ healthcare settings (Coughlan et al., 2007).

Strength and Weaknesses

A non-validated questionnaire was used because there isn’t one for the experiences of support nurses utilizing electronic health records. Nonetheless, questions were developed in consultation with subject-matter experts and based on the relevant literature.

A preliminary test of the questionnaire was conducted by nursing staff to ensure readability. As such, it is predicted that the questionnaire will demonstrate content validity. Notwithstanding these limitations, our work adds some intriguing knowledge to a nursing practice and research area that is still mostly uncharted territory. One of the study’s strengths is that it was the first to examine the experiences of nursing staff members who all worked in the four primary healthcare settings and had direct patient contact. Our study’s focus on the usage of several standardized terminologies rather than just one and its comparison of their applications is another benefit (De Groot et al., 2020).

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Possible Remedies

According to a survey, nursing staff members regularly expressed dissatisfaction with the use of their electronic health data. A different survey study with similar findings also showed that the inadequate usage of electronic health records places a great deal of time pressure on registered nurses. However, there is a lack of understanding of the relationship between the ease of use of electronic health records and the time restrictions related to nursing documentation (Tsai et al., 2020).

References

Chi, C.-Y., Wu, H.-H., Huang, C.-H., & Lee, Y.-C. (2017). Using linear regression to identify critical demographic variables affecting patient safety culture from the viewpoints of physicians and nurses.Hospital Practices and Research,2(2), 47-53.https://doi.org/10.15171/hpr.2017.12

Coughlan, M., Cronin, P., & Ryan, F. (2007). Step-by-step guide to critiquing research. part 1: Quantitative research. British Journal of Nursing,16(11), 658-663.https://doi.org/10.12968/bjon.2007.16.11.23681

De Groot, K., De Veer, A. J., Paans, W., & Francke, A. L. (2020). Use of electronic health records and standardized terminologies: A nationwide survey of nursing staff experiences.International Journal of Nursing Studies,104, 103523.https://doi.org/10.1016/j.ijnurstu.2020.103523

Tsai, C., Eghdam, A., Davoody, N., Wright, G., Flowerday, S., & Koch, S. (2020). Effects of electronic health record implementation and barriers to adoption and use: A scoping review and qualitative analysis of the content.Life,10(12),327.https://doi.org/10.3390/life10120327

LEAH

INITIAL POST

Using linear regression to identify critical demographic variables affecting patient safety culture from viewpoints of physicians

Chi et al. (2017) investigated the critical demographic variables that influence patient safety culture from the perspectives of physicians and nurses using linear regression analysis. The study’s findings contribute significantly to the current scientific knowledge by exploring the relationship between demographic variables and patient safety culture. The study’s methodology utilized a cross-sectional survey design with self-administered questionnaires distributed among physicians and nurses in a teaching hospital in Taiwan. The Hospital Survey on Patient Safety Culture (HSOPSC) instrument was used to measure patient safety culture, involves five dimensions: communication openness, teamwork climate, safety climate, organizational learning, and job satisfaction. The authors also collected demographic data, including age, gender, education level, years of experience, and job title. Through linear regression analysis, the researchers determined that age, gender, education level, and years of experience significantly influenced patient safety culture. These findings align with previous studies emphasizing the impact of demographic factors on patient safety culture. For instance, younger healthcare professionals may possess a different approach or perspective toward patient safety compared to their more experienced counterparts. Chi et al. (2017) identified job satisfaction as a critical variable affecting patient safety culture. This finding shows the importance of addressing factors that contribute to job satisfaction among healthcare professionals, as it positively influences patient safety culture. The study’s implications highlight the need for healthcare organizations to consider demographic variables when developing strategies to enhance patient safety culture. Interventions targeting specific demographic groups may prove effective in fostering a positive patient safety culture and improving patient outcomes.

ALTERNATIVE METHODS

Multivariate analysis of variance (MANOVA): MANOVA is a statistical method used to compare the means of multiple dependent variables (e.g., patient safety culture scores) across multiple independent variables (e.g., demographic characteristics) (Warne, 2014). MANOVA can be used to determine whether there is a significant difference in patient safety culture between different demographic groups.

Structural equation modeling (SEM): SEM is a statistical method used to test hypothesized relationships between multiple variables (Kline, 2016). SEM can be used to develop a model of the relationship between demographic characteristics and patient safety culture, and to identify the pathways through which these variables are related.

STRENGTHS

The study used a validated survey instrument to assess patient safety culture, which enhances the reliability and validity of the findings.

The study included a large sample size of physicians and nurses, which increases the generalizability of the results.

The study employed linear regression analysis to identify the critical demographic variables associated with patient safety culture, which allowed for the quantification of the relationships between these variables and patient safety culture.

The study findings provide valuable insights into the factors that influence patient safety culture from the perspectives of both physicians and nurses, which can inform the development of targeted interventions to improve patient safety.

WEAKNESSES

The study was cross-sectional, which limits the ability to establish causal relationships between the demographic variables and patient safety culture.

The study was conducted in a single hospital, which limits the generalizability of the findings to other healthcare settings.

The study did not examine the impact of other factors, such as organizational factors or leadership practices, on patient safety culture.

The study did not explore the potential mediating or moderating effects of other variables on the relationship between demographic variables and patient safety culture.

REFERENCES

Chi, C., Wu, H., Huan, C., & Lee, Y. (2017). Using linear regression to identify critical demographic variables affecting patient safety culture from viewpoints of physicians. Hospital Practices and Research, 2(2), 47–53. doi:10.15171/hpr.2017.12.

Kline, Rex B. (2016). Principles and practice of structural equation modeling (4th ed.). New York. ISBN 978-1-4625-2334-4.

Warne, R. T. (2014). “A primer on multivariate analysis of variance (MANOVA) for behavioral scientists”. Practical Assessment, Research & Evaluation. 19 (17): 1–10.