Capacity management of nursing staff as a vehicle for organizational improvement

<p>Abstract</p> <p>Background</p> <p>Capacity management systems create insight into required resources like staff and equipment. For inpatient hospital care, capacity management requires information on beds and nursing staff capacity, on a daily as well as annual basis. This paper presents a comprehensive capacity model that gives insight into required nursing staff capacity and opportunities to improve capacity utilization on a ward level.</p> <p>Methods</p> <p>A capacity model was developed to calculate required nursing staff capacity. The model used historical bed utilization, nurse-patient ratios, and parameters concerning contract hours to calculate beds and nursing staff needed per shift and the number of nurses needed on an annual basis in a ward. The model was applied to three different capacity management problems on three separate groups of hospital wards. The problems entailed operational, tactical, and strategic management issues: optimizing working processes on pediatric wards, predicting the consequences of reducing length of stay on nursing staff required on a cardiology ward, and calculating the nursing staff consequences of merging two internal medicine wards.</p> <p>Results</p> <p>It was possible to build a model based on easily available data that calculate the nursing staff capacity needed daily and annually and that accommodate organizational improvements. Organizational improvement processes were initiated in three different groups of wards. For two pediatric wards, the most important improvements were found to be improving working processes so that the agreed nurse-patient ratios could be attained. In the second case, for a cardiology ward, what-if analyses with the model showed that workload could be substantially lowered by reducing length of stay. The third case demonstrated the possible savings in capacity that could be achieved by merging two small internal medicine wards.</p> <p>Conclusion</p> <p>A comprehensive capacity model was developed and successfully applied to support capacity decisions on operational, tactical, and strategic levels. It appeared to be a useful tool for supporting discussions between wards and hospital management by giving objective and quantitative insight into staff and bed requirements. Moreover, the model was applied to initiate organizational improvements, which resulted in more efficient capacity utilization.</p

Using historical bed utilization to calculate the number of nurses needed per shift

<p><b>Copyright information:</b></p><p>Taken from "Capacity management of nursing staff as a vehicle for organizational improvement"</p><p>http://www.biomedcentral.com/1472-6963/7/196</p><p>BMC Health Services Research 2007;7():196-196.</p><p>Published online 30 Nov 2007</p><p>PMCID:PMC2228295.</p><p></p

Correlation and Relative Prognostic Value of Fractional Flow Reserve and Pd/Pa of Nonculprit Lesions in ST-Segment-Elevation Myocardial Infarction

BACKGROUND: The applicability of resting indices to guide noninfarct-related artery revascularization in ST-elevation myocardial infarction is unknown. METHODS: We analyzed the correlation and prognostic value of fractional flow reserve (FFR) and resting distal coronary to aortic pressure ratio (Pd/Pa) in all patients of the Compare-Acute trial in whom, after successful primary percutaneous coronary intervention, the noninfarct-related artery was interrogated by both and treated medically. The treating cardiologist was blinded to these values. The primary end point was the composite of target vessel (interrogated noninfarct-related artery) related nonfatal target vessel myocardial infarction and target vessel repeat revascularization at 36 months. RESULTS: Five hundred seventeen patients (665 vessels) were included. On receiver-operating characteristic analysis, the optimal Pd/Pa cut off for FFR≤0.80 was 0.905 (C statistic: 0.894). The diagnostic accuracy of Pd/Pa was 80.15% (95% CI, 76.91%-83.12%) with respect to FFR. During the 36-month follow-up, 130 target vessel revascularization and 14 target vessel myocardial infarction occurred. FFR and Pd/Pa had a diagnostic accuracy to predict these events of 62.86% (95% CI, 59.06%-66.54%) and 56.84% (95% CI, 52.98%-60.64%), respectively (P=0.20). When they were discrepant, FFR was significantly better than Pd/Pa in identifying which vessels could be safely deferred (P=0.048). CONCLUSIONS: Immediately after successful primary percutaneous coronary intervention, resting Pd/Pa has a diagnostic accuracy of 80% with respect to FFR measured in the noninfarct-related artery. FFR is not significantly superior in predicting target vessel myocardial infarction and target vessel revascularization during 36 months of follow-up but, in case FFR and Pd/Pa are discrepant, FFR is superior in identifying which nonculprit vessels can be safely deferred. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT01399736

Rationale and Design of the Future Optimal Research and Care Evaluation in Patients with Acute Coronary Syndrome (FORCE-ACS) Registry: Towards “Personalized Medicine” in Daily Clinical Practice

Diagnostic and treatment strategies for acute coronary syndrome have improved dramatically over the past few decades, but mortality and recurrent myocardial infarction rates remain high. An aging population with increasing co-morbidities heralds new clinical challenges. Therefore, in order to evaluate and improve current treatment strategies, detailed information on clinical presentation, treatment and follow-up in real-world patients is needed. The Future Optimal Research and Care Evaluation in patients with Acute Coronary Syndrome (FORCE-ACS) registry (ClinicalTrials.gov Identifier: NCT03823547) is a multi-center, prospective real-world registry of patients admitted with (suspected) acute coronary syndrome. Both non-interventional and interventional cardiac centers in different regions of the Netherlands are currently participating. Patients are treated according to local protocols, enabling the evaluation of different diagnostic and treatment strategies used in daily practice. Data collection is performed using electronic medical records and quality-of-life questionnaires, which are sent 1, 12, 24 and 36 months after initial admission. Major end points are all-cause mortality, myocardial infarction, stent thrombosis, stroke, revascularization and all bleeding requiring medical attention. Invasive therapy, antithrombotic therapy including patient-tailored strategies, such as the use of risk scores, pharmacogenetic guided antiplatelet therapy and patient reported outcome measures are monitored. The FORCE-ACS registry provides insight into numerous aspects of the (quality of) care for acute coronary syndrome patients

Mindfulness-based cognitive therapy for patients with medically unexplained symptoms: A cost-effectiveness study

Item does not contain fulltextOBJECTIVE: Our aim was to assess cost-effectiveness of mindfulness-based cognitive therapy (MBCT) compared with enhanced usual care (EUC) in treating patients with persistent medically unexplained symptoms(MUS). METHODS: A full economic evaluation with a one year time horizon was performed from a societal perspective. Costs were assessed by prospective cost diaries. Health-related Quality of Life was measured using SF-6D. Outcomes were costs per Quality-Adjusted Life Year (QALY). Bootstrap simulations were performed to obtain mean costs, QALY scores and incremental cost-effectiveness ratios (ICERs). RESULTS: MBCT participants (n=55) had lower hospital costs and higher mental health care costs than patients who received EUC (n=41). Mean bootstrapped costs for MBCT were euro6269, and euro5617 for EUC (95% uncertainty interval for difference: -euro1576; euro2955). QALYs were 0.674 for MBCT and 0.663 for EUC. MBCT was on average more effective and more costly than EUC, resulting in an ICER of euro56,637 per QALY gained. At a willingness to pay of euro80,000 per QALY, the probability that MBCT is cost-effective is 57%. CONCLUSION: Total costs were not statistically significantly different between MBCT and EUC. However, MBCT seemed to cause a shift in the use of health care resources as mental health care costs were higher and hospital care costs lower in the MBCT condition. Due to the higher drop-out in the EUC condition the cost-effectiveness of MBCT might have been underestimated. The shift in health care use might lead to more effective care for patients with persistent MUS. The longer-term impact of MBCT for patients with persistent MUS needs to be further studied