Methods and Statistical Analysis
Name xxx
United State University
Course xxx
Professor xxxx
Date xxx
The Evaluative Criteria
The process of analyzing a healthcare plan to see if it meets its goals takes some time. Because it promotes an evidence-based approach, assessment is crucial in practice consignment. Evaluation can be used to assess the effectiveness of the research. It helps determine what changes could be recommended to improve service delivery and the study’s persuasiveness. An impact evaluation analyzes the intervention’s direct and indirect, positive and negative, planned and unplanned consequences. If an evaluation fails to deliver fresh recognition regularly, it may result in inaccurate results and conclusions. A healthcare practitioner can utilize the indicators or variables to evaluate programs and determine whether they are legal or not (Dash et al., 2019). The variables are also used to assess if the mediation is on track to meet its objectives and obligations. Participation rates, prevalence, and individual behaviors are among the measures to be addressed.
Individual behaviors are actions taken by individuals to improve their health. People have been denied the assistance and resources they seek because of ethics and plans. In addition, different people have varied perspectives about pressure ulcers treatment. Relevance refers to how the study may contribute to a worthwhile cause (Li et al., 2019). Quality variables give statistics on the precariously rising service consignment while also attempting to provide information on the part of the care that may be changed. The participation rate refers to the total number of people participating in the study.
On the other hand, individuals may be unable to engage in the study due to a lack of cultural knowledge and ineffective consent processes. The overall number of persons in a population who have a health disease at a given time is referred to as prevalence (Li et al., 2019). Although prevalence shows the rate at which new facts arrive, it aids in determining the suitable, complete outcome-positive prestige of people.
Research Approaches
The word “research approaches” refers to techniques and procedures to draw general conclusions concerning data collection, analysis, and explanation methods. In my research, I’ll employ both quantitative and qualitative methods. A qualitative research technique will reveal deterrents and hindrances to practicing change by rationalizing the reasons behind specific demeanors (Li et al., 2019). Qualitative research will collect and evaluate non-numerical data to comprehend perspectives or opinions. It will also be utilized to learn everything there is to know about a subject or to develop new research ideologies.
The quantitative method focuses on goal data and statistical or numerical analysis of data collected through a questionnaire. In the healthcare field, quantitative research may develop and execute new or enhanced work measures. Quantitative research, rather than unconventional thinking, seeks numeric and long-term facts and complete, convergent information (Li et al., 2019). Quantitative data will be obtained using established research methodologies, and the results will be based on larger sample sizes that represent the population.
Data Collection Methods
Data collection is deliberately and methodically obtaining and weighing information on critical elements to answer research questions and assess outcomes. I must follow a particular approach to ensure that the information I obtain is clean, consistent, and conclusive. I’ll employ a range of data collection methods for my research, including observations, interviews, and focus groups. I’ll need all the essential materials and resources to begin collecting data. I’m going to get the data on my own.
Interviews will be one of the approaches I will use. It’s all about dialogues when you ask open-ended questions to engage with people and collect evoked facts about a topic. Interviews provide interviewers with many options (Miah et al., 2021). It has a greater response rate, and it allows those who are unable to read or write to reply to the questions. As a researcher, I’ll conduct interviews with a group of people at a time in the study when gathering information requires meeting and closely interacting with the target audience.
Observing and describing the attitude of an affair are examples of observations. It’s a technique for gathering meaningful data through observation. Observation methods offer a direct way to study phenomena and high levels of application resilience and the formation of a rich, long-lasting record of happenings that may be dealt with afterward (Miah et al., 2021). Observation provides good precision because the observer interacts directly with the observed.
Because the information acquired is led by an interpretive approach, the data collection methods are convenient. Data collection methods aid in determining project and development competency and the degree of exploitation (Miah et al., 2021). The procedures for data collection are suitable for nominal, ordinal, and continuous data. XLSTAT software will be used to analyze my research findings.
Conclusion
In healthcare, evaluation is essential since it helps to promote an evidence-based approach to practice delivery. It’s a tool for determining how well something is operating. It can help with choices on the efficacy of services and what adjustments might be made to improve service delivery. In my capstone project, the chief aim is to determine the best method to treat pressure ulcers in people aged 60. In this case, the main objective is to compare the effectiveness of negative wound pressure over standard moist wound therapy in treating pressure ulcers. The expected outcomes will be reached using appropriate research methodologies and data collection techniques.
References
Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: management, analysis, and prospects. Journal of Big Data, 6(1), 1-25.
Li, T., Higgins, J. P., & Deeks, J. J. (2019). Collecting data. Cochrane handbook for systematic reviews of interventions, 109-141.
Miah, S. J., Camilleri, E., & Vu, H. Q. (2021). Big Data in healthcare research: a survey study. Journal of Computer Information Systems, 1-13.
