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Research Designs

Introduction

Selecting an adequate research design is necessary for answering clinical questions effectively and for getting valid and applicable results (Creswell& Creswell, 2023). The research selected designs, such as quantitative, qualitative, and mixed methods, will influence the means of data gathering, analyzing, and interpreting. The aim of this paper is to investigate the effect of a telephone nurse follow-up at 72 hours after discharge from the VA Polytrauma Rehabilitation Unit on the compliance of veteran patients' preparedness during TBI. More specifically, the study will determine the impact of nurse-initiated early calls on patients' knowledge of discharge instructions, self-management, and subsequent physician-related health services utilization, like Emergency department and hospital readmission. Improved knowledge of these relationships could help to improve TBI-related discharge planning and health outcomes among the nation's veterans.

Research Questions

The following research questions will be used to assess the impact of the early nurse-led interventions on patient preparedness and post-discharge outcomes. This study's questions are designed to provide comprehensive insight into the effect of early nurse-led follow-up strategies:

· How does a phone call from the nurse within 72 hours of discharge from the VA Polytrauma Rehabilitation Unit influence veterans with TBI readiness?

· How does the timing of telephone follow-up by nurses affect veterans’ understanding of discharge instructions and their ability to manage TBI-related symptoms?

· What effect does a nurse follow-up at 72 hours post-discharge have for reducing readmission or ER visits in veterans with TBI?

Basic Research Designs

Quantitative research methodologies, including experimental, quasi-experimental, and correlational studies, are prevalent in the field of healthcare research. A significant amount of health care research is quantitative in nature, from true experiments to quasi-experiments and correlation studies. Causal relationships can be made by having a random assignment of participants to intervention and control groups in experimental research designs. Treatment is evaluated using quasi-experimental designs when randomization is not feasible or ethical due to the fact that researchers examine already-existing groups/people or conditions (Polit & Beck, 2021). Some relationship between a factor and an outcome is to be detected by correlational studies, while the patterns of response are to be used for prediction. Standard quantitative research is good at assessing particular effects, such as readmission rates and the effectiveness of symptom management.

The purpose of qualitative research is to generate rich knowledge about how participants perceive and experience particular issues. Ethnographic studies focus on a cultural group, exploring their actions, interactions, rituals, and interpretations over time using participant observation and interviews. Phenomenological research aims to describe the lived experiences of individuals from the perspective of research participants, in which the goal is to achieve an understanding of the subjective realities of the participants (Polit & Beck, 2021). Grounded theory, as a research method, forms inductive theory concepts from case studies via the identification of patterns of situations and activities in the social situation. The qualitative research methods are best designed for discovering in-depth contextual information about patient readiness and their understanding of discharge orders and discharge experiences.

The complementarity of quantitative and qualitative methods in mixed methods research adds value to understanding the phenomenon. The research is using a combination of both sequential and concurrent designs to produce generalizable findings from the quantitative data, as qualitative data will offer contextual insights (Creswell & Creswell, 2023). Quantitative findings will be presented first, followed by the qualitative interview data, and then, to extend the findings within-subjects design. The parallel study simultaneously acquires both types of data to confirm or contribute to the findings of the study. Mixed methods are well-suited for investigating complex healthcare problems where statistical findings are supplemented by rich qualitative reports to help improve clinical practice.

Comparison of these methods indicates their strengths and weaknesses. Many times, quantitative research provides explicit information that helps make decisions; however, there may not be the depth of individual experience. On the other hand, qualitative methodologies provide rich insights into the lived experiences of participants but are less generalizable to wider populations. Mixed methods research strikes the balance between these strengths by integrating statistical analysis with personal stories, so that what we have is a more complete picture. For this study focused on nurse-led telephone follow-up for TBI veterans, using a mixed methods design is appropriate as it captures measurable outcomes (readmission rates, etc.) and a detailed understanding of the veterans' experience and perceptions.

Additional Research Questions

Secondary research questions, in addition to their primary research questions, may be helpful to clarify comprehension. It would be informative to also consider feelings of satisfaction and comfort for veterans associated with nurse-led follow-up calls and how this may influence patient adherence to the recommended plan of care. Examining the frequency and duration of nurse-initiated calls that are associated with ideal readiness could also reveal useful results. It would also be useful to understand any barriers that nurses face when conducting these follow-up discussions and how these may affect their effectiveness. Finally, identifying which components of discharge instructions are most frequently misunderstood or challenging for veterans might inform education strategies at discharge. Answering these supplementary questions may strengthen intervention approaches and enhance patient preparedness and ultimate outcome.

Analytical Methods

For my week 5 assignment, I decided to do a quantitative article that documented the effect of a nurse-led telephone follow-up within 72 hours of discharge from the VA Polytrauma Rehabilitation Unit to determine the impact of the intervention on veterans’ readiness. Quantitative research uses rigorous, controlled, predefined procedural manipulations and statistical analysis to describe and generalize the data gathered through quantitative measures. The above approach offers the advantage of providing measurable results and valid inferences based on statistical evidence. Utilizing surveys/structured questionnaires, the strategy will allow an accurate assessment of veterans’ understanding of their discharge instructions, level of readiness, and motivation to engage with healthcare. The organized process of quantitative research enables a comprehensive analysis of data and increases the reliability and validity of results (Polit & Beck, 2021).

The collected data will be analyzed using a t-test and regression analysis, and descriptive statistics will come into play for data analysis. Descriptive statistics will summarize fundamental characteristics of the sample, attitudes of veterans, and key trends. Effectiveness of nurse-initiated follow-up calls for the subgroups will be examined with t-test inferential statistics to determine the significant differences in readiness and readmission. Second, regression analysis can help to reveal predictive relationships and input variables that contribute significantly to forecasting patient outcomes at discharge. These two analytic methods will provide a clearer and precise conclusion on the results obtained from the quantitative analysis (Plichta & Kelvin, 2020).

The importance of these analytic approaches is their potential to provide robust evidence-based findings. The inclusion of descriptive and inferential statistics assists in the analysis and testing of the data properly and in evaluating the ability of interventions to be effective. This kind of statistical design minimizes bias, and therefore, the results can be generalized. Statistical sign analysis identifies variables that affect patient readiness and usage of health care and guides clinical decision making. The application of these analytic approaches enhances the internal validity of the study's parameter estimates and represents actionable knowledge to enhance the quality of care for veterans.

Conclusion

In conclusion, using a quantitative research design for the study will facilitate the assessment of the effects of the nurse-led telephone follow-up intervention. The application of multiple statistical methods, such as descriptive statistics, t-test, and the regression adopted by this paper, will also achieve relatively stable and objective results. These methods progress the recognition of the distinct relationships of nursing interventions and enhance veteran readiness and health care utilization. Knowledge of these relationships is important for developing discharge protocols aimed at decreasing hospital readmission in veterans with TBI. The competencies for quantitative advocacy in evidence-based practice raise the bar to ensure the highest standard of care to achieve the best patient outcomes for this vulnerable population.

References

Creswell, J. W., & Creswell, J. D. (2023). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). SAGE Publications.

Plichta, S. B., & Kelvin, E. (2020). Munro’s statistical methods for health care research (7th ed.). Wolters Kluwer.

Polit, D. F., & Beck, C. T. (2021). Nursing research: Generating and assessing evidence for nursing practice (11th ed.). Wolters Kluwer Health.