Dashboard Analysis and Nursing Plan

Dashboard Analysis and Nursing Plan

The sample presents Nurse-Sensitive Quality Indicator Dashboard from National Database of Nursing Quality Indicators (NDNQI) with a comparison of benchmark standards as reported in selected medical facilities. The data has been presented for four distinct areas as: NDNQI data, Service line/Unit Specific Indicators, General Indicators, and Patient Satisfaction Survey Indicators. The four areas present cumbersome data with multiple areas that would require attention to achieve the desired results. Dashboard Analysis and Nursing Plan To facilitate analysis, NDNQI data has been selected for additional analysis. A review of the data shows that are is relatively consistent and strong performance that meets the targeted objectives in terms of percentage bachelor of science in nursing (%BSN), registered nurse care hours (RN Care HRs), and Nurse Hours per Patient Day. However, the data also reveals areas of notable concerns where performance fell short of the targeted objectives. These areas of concern include “percentage computer emergency response team (%CERT), percentage at risk and on fall protocol (%RSK&PROT), total falls per 1000 days (TOTFALLS), patients who were assessed for pressure ulcers within 24 hours of point-prevalence assessment (%PUPRSRSKA), patients with pressure ulcers (%PRSSULC), patients with acquired pressure ulcers (%AQPRULC), and %AGNCYHR”. The implication is that there is a need for the areas of concern to be addressed, approaching them as opportunities for improving the cost-effectiveness and quality of nursing care.


Although there are many concerns requiring nursing intervention, perhaps an area that would be of greater concern is the data reported for total falls per 1000. A review of the variation in data shows that it was first reported at -3.82, then 3.14 before settling at -2.83. This is an indication that the actual performance fell short of the targeted performance except for one occasion when the actual performance exceeded the target performance. This is an issue of concern since it is an avoidable concern that can be addressed through basic nursing intervention. Falls are typically an indication of nurse practice shortfalls, particularly with regards to staffing and skill levels as well as practice protocols (Luchette & Yelon, 2017). These are sentiments echoed by Staggs and Dunton (2014), mentioning that there is a non-linear association between staffing and falls, and this is best addressed through better staffing decisions with a focus on patient safety. As a result, falls present an existing concern that can be addressed through nurse staffing changes. Dashboard Analysis and Nursing Plan

Falls among patients should be addressed through better informed staffing decisions. Firstly, nurse-patient ratios should be improved so that patients are better supervised by nursing personnel and prevented from falls. Having more nursing personnel on call ensures that patients are better supervised, especially for the patients at higher risk of falls. Secondly, nurse personnel with higher skill levels should be engaged since they are better equipped to prevent falls, particularly when warning signs for impending falls are presented. Finally, nursing practice should focus on fall precautions to include addressing risk factors through care planning and interventions, standardized assessment of risk factors, and scheduled rounding protocols (Ross, 2013; Staggs & Dunton, 2014).


Duffy, J. (2013). Quality caring in nursing and health systems: implications for clinicians, educators, and leaders (2nd ed.). New York, NY: Springer Publishing Company.

Luchette, F. A. & Yelon, J. A. (ed) (2017). Geriatric trauma and critical care (2nd ed.). Cham: Springer International Publishing.

Ross, T. (2013). Health care quality management: tools and applications. Hoboken, NJ: John Wiley & Sons.

Staggs, V. & Dunton, N. (2014).  Associations between rates of unassisted inpatient falls and levels of registered and non-registered nurse staffing. International Journal for Quality in Health Care, 26(1), 87-92. doi: 10.1093/intqhc/mzt080 Dashboard Analysis and Nursing Plan


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