Knowledge of the levels of evidence in healthcare research is important to nurses, because this can ultimately lead to an improvement in the quality of care. Which source of information is most likely to be based on high levels of evidence?
Sources such as PubMed
Recommended readings from physicians
Comprehensive searches on Google and other search engines
Magazine and newspaper articles
The Correct Answer is A
A. Sources such as PubMed. – PubMed is a database of peer-reviewed medical literature, providing access to high-quality research and systematic reviews, often with high levels of evidence.
B. Recommended readings from physicians. – Physician recommendations may vary in quality and are not guaranteed to be based on the highest level of evidence or peer-reviewed sources.
C. Comprehensive searches on Google and other search engines. – These searches yield mixed sources of varying quality and do not necessarily prioritize high-level evidence-based research.
D. Magazine and newspaper articles. – These are typically not peer-reviewed or scientifically rigorous, often intended for the general public rather than professionals, and may not rely on high levels of evidence.
Nursing Test Bank
Naxlex Comprehensive Predictor Exams
Related Questions
Correct Answer is C
Explanation
A. Query-based exchange. – Query-based exchange allows providers to search for and retrieve patient information but is typically provider-centered, not allowing patients direct control.
B. Clinical decision support. – Clinical decision support is a tool for improving provider decisions and does not give patients direct access to correct or control their records.
C. Consumer-mediated exchange. – Consumer-mediated exchange empowers patients to manage their own health information, including reviewing and correcting their billing and health records.
D. Evidence-based practice (EBP). – EBP is related to healthcare decision-making based on evidence but does not involve patient-controlled access to health records.
Correct Answer is A
Explanation
A. By evaluating technology and filling data gaps. – Nurses can contribute by identifying gaps in data that machine learning models need to improve accuracy, and by assessing technology to ensure it meets clinical needs and complements patient care.
B. By simply accessing and using information. – Access alone does not contribute significantly to machine learning; active data input and gap identification are more effective.
C. By studying statistics to understand the algorithms. – Studying algorithms helps understand machine learning but does not directly contribute to its function or data generation.
D. By gathering patient data. – While gathering data is helpful, without evaluating technology and addressing data gaps, it doesn’t fully contribute to machine learning model improvement.
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