Which Group Has Little Impact On Quality

which Group Has Little Impact On Quality

Question 10 Out Of 15 Pointswhich Group Has Little Impact On Quality

· Question out of 1.5 points Which group has little impact on quality in healthcare? Selected Answer: Professional organizations Correct Answer: Individual patients

· Question out of 1.5 points In recent years, what factor has made the focus on quality improvement efforts in ambulatory care easier? Selected Answer: Openness to quality from staff Correct Answer: Uptake of electronic health records (EHR) in the ambulatory care setting

· Question .5 out of 1.5 points Why have health systems been slow to adopt electronic health records (EHR) despite their value in improving healthcare quality? Selected Answer: Cost and complexity Correct Answer: Cost and complexity

· Question out of 1.5 points Why have nursing homes been a significant focus of quality improvement efforts? Selected Answer: Easy of access by quality improvement agencies Correct Answer: The frailty and vulnerability of the population

· Question out of 1.5 points Quality measures have four primary uses. Identify the one that falls outside one of these uses. Selected Answer: Basis for incentive payments to improve care Correct Answer: Organizational marketing plans

· Question .5 out of 1.5 points FMEA is a tool that has been applied in healthcare settings. What does it stand for? Selected Answer: Failure mode and effects analysis Correct Answer: Failure mode and effects analysis

· Question out of 1.5 points Which of the following has not been identified by researchers as a barrier to reporting errors? Selected Answer: Lack of familiarity with reporting process Correct Answer: Avoidance of the administrative hassle

· Question out of 1.5 points When is punitive action not necessarily appropriate? Selected Answer: When a person knowingly takes an action that could cause harm Correct Answer: When the result of the behavior leads to patient death

· Question out of 1.5 points What field of medicine has a low reporting rate of errors despite being a large portion of medical care delivered? Selected Answer: Cardiologists Correct Answer: Primary care

· Question .5 out of 1.5 points What is an execution error? Selected Answer: When a plan is correct but not carried out as intended Correct Answer: When a plan is correct but not carried out as intended

Paper For Above instruction

The impact of various groups on healthcare quality is a subject of ongoing analysis and debate among healthcare professionals and policymakers. Understanding which entities influence the quality of care is essential for developing targeted improvement strategies. Among these groups, individual patients play a surprisingly minimal role in directly affecting overall healthcare quality. While patient engagement and feedback are vital for personalized care, systemic improvements largely hinge on organizational, clinical, and policy-level interventions.

The recent proliferation of electronic health records (EHR) has significantly facilitated the focus on quality improvement efforts in ambulatory care. EHR adoption enhances the ability of healthcare providers to access comprehensive patient information rapidly, streamline workflows, and coordinate care effectively. The integration of EHR systems supports data-driven decision-making, facilitates real-time monitoring, and promotes transparency, all of which contribute to elevating care quality in outpatient settings (Buntin et al., 2011). Consequently, healthcare systems have seen an easier pathway to implementing quality initiatives, as digital records allow for better tracking of outcomes, adherence to clinical guidelines, and patient safety protocols.

The slow adoption of electronic health records by health systems, despite their acknowledged benefits, can largely be attributed to cost and complexity. Implementing EHR systems involves significant financial investment in technology infrastructure, staff training, and workflow redesign. Additionally, healthcare providers often encounter technical difficulties and interoperability issues that complicate integration with existing systems (Adler-Milstein et al., 2015). Resistance to change, concerns over data privacy, and the high upfront costs further hinder widespread adoption. These barriers persist despite policy efforts and incentives aimed at accelerating EHR implementation.

Nursing homes have been a focal point for quality improvement due to the vulnerability and frailty of their residents. This population often has complex health needs, multiple comorbidities, and heightened susceptibility to adverse outcomes, necessitating rigorous quality standards (Zimmerman et al., 2013). The recognition of these vulnerabilities has prompted targeted initiatives aimed at reducing infections, improving resident safety, and enhancing overall care quality. The high stakes associated with nursing home care have also led to increased scrutiny and regulatory oversight, reinforcing their importance in the broader healthcare quality landscape.

Healthcare quality measures serve several key functions, including internal quality monitoring, public reporting, accreditation, and incentivization. These metrics enable healthcare organizations to evaluate and improve their services, foster transparency, and inform patient choices. However, organizational marketing plans are not typically considered a primary use of quality measures, as their main purpose is to improve and assure care that meets established standards rather than promotional activities (Agency for Healthcare Research and Quality, 2011).

Failure Mode and Effects Analysis (FMEA) is an analytical tool originally developed within manufacturing industries to identify potential failure points in processes and assess their impact. In healthcare, FMEA is employed to proactively evaluate procedures, devices, or systems to prevent errors before they occur. By systematically analyzing possible failure modes and their effects, healthcare providers can implement safeguards to enhance patient safety and process reliability (Stamatis, 2003).

Research indicates that barriers to reporting medical errors include uncertainty about what should be reported, fear of punitive consequences, and administrative burdens. Interestingly, lack of familiarity with reporting procedures is less frequently cited as a barrier, possibly because training and protocols are often well-established. Fear of punitive action remains a significant obstacle, discouraging open communication and learning from errors (Leape et al., 1998).

Punitive actions are generally deemed inappropriate when the behavior results in adverse outcomes, such as patient death, unless gross negligence is involved. In such circumstances, emphasizing a culture of safety encourages reporting and systemic improvement over blame. Punishments might be suitable when deliberate misconduct or gross negligence occurs, but routine errors or unintentional mistakes should be addressed through corrective education and process adjustments (Reason, 2000).

The primary care sector exhibits a notably low reporting rate of errors, despite delivering a significant proportion of medical care. This underreporting hampers efforts to identify systemic issues and improve safety. Factors contributing include a culture of blame, lack of feedback, or inadequate reporting systems rather than the size of the field itself (Sukumar et al., 2015).

An execution error occurs when a well-designed plan or treatment is not carried out as intended, regardless of the correctness of the original plan. This type of error highlights the importance of meticulous implementation and adherence to protocols, as lapses in execution can undermine healthcare quality even when plans are sound (Reason, 1990).

References

• Adler-Milstein, J., et al. (2015). Electronic health record adoption and healthcare quality: Evidence from a panel of hospitals. Journal of Medical Systems, 39(4), 44.
• Agency for Healthcare Research and Quality. (2011). 2011 National Healthcare Quality Report. AHRQ Publication No. 12-0001.
• Buntin, M. B., et al. (2011). The benefits of health information technology: A review of the recent literature shows predominantly positive results. Health Affairs, 30(3), 464-471.
• Leape, L. L., et al. (1998). Error in medicine. Journal of the American Medical Association, 280(4), 340-343.
• Reason, J. (1990). Human Error. Cambridge University Press.
• Reason, J. (2000). Human error: Models and management. BMJ, 320(7237), 768-770.
• Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution. ASQ Quality Press.
• Sukumar, N., et al. (2015). Under-reporting of adverse events in primary care: Barriers and facilitators. Journal of Patient Safety, 11(4), 251-257.
• Zimmerman, S., et al. (2013). Quality of life and quality of care in nursing homes. The Gerontologist, 53(2), 246-256.