Evaluation of the effect of a Nursing System Framework on Nurse Sensitive Indicators, mortality and readmission in an NHS Trust.

In 2018, an NHS Trust (UK) implemented an innovative Nursing System Framework (NSF). The NSF formalized a two-year strategy, which provided teams with clear aims and measurable objectives to deliver care. Failures of coordination of nursing services are well-recognized threats to the quality, safety and sustainability of care provision. AIM: To evaluate the efficacy of introducing a NSF in an NHS Trust, using nursing sensitive indicators and pre-selected mortality, data outcome measures. DESIGN: A before and after implementation, observational study. METHODS: 105,437 admissions were extracted at an admission record level. Data was extracted from 1st September 2018 through to the 31st August 2019. RESULTS: Using SQUIRE guidelines to report the study, insufficient evidence was found to reject a null hypothesis with a chi-squared test of association between in-hospital death and the NSF intervention period, with a p-value of .091. However, trends were seen in the data, which suggested a positive association. CONCLUSION: The NSF is a complex intervention, which provides direction for improvements but requires further research to understand the benefits for nurses, Midwives, Health Visitors and patients.

Hospital admissions after vertical integration of general practices with an acute hospital: a retrospective synthetic matched controlled database study.

BACKGROUND: New healthcare models are being explored to enhance care coordination, efficiency, and outcomes. Evidence is scarce regarding the impact of vertical integration of primary and secondary care on emergency department (ED) attendances, unplanned hospital admissions, and readmissions. AIM: To examine the impact of vertical integration of an NHS provider hospital and 10 general practices on unplanned hospital care DESIGN AND SETTING: A retrospective database study using synthetic controls of an NHS hospital in Wolverhampton integrated with 10 general practices, providing primary medical services for 67 402 registered patients. METHOD: For each vertical integration GP practice, a synthetic counterpart was constructed. The difference in rate of ED attendances, unplanned hospital admissions, and unplanned hospital readmissions was compared, and pooled across vertical integration practices versus synthetic control practices pre-intervention versus post-intervention. RESULTS: Across the 10 practices, pooled rates of ED attendances did not change significantly after vertical integration. However, there were statistically significant reductions in the rates of unplanned hospital admissions (-0.11, 95% CI = -0.18 to -0.045, P = 0.0012) and unplanned hospital readmissions (-0.021, 95% CI = -0.037 to -0.0049, P = 0.012), per 100 patients per month. These effect sizes represent 888 avoided unplanned hospital admissions and 168 readmissions for a population of 67 402 patients per annum. Utilising NHS reference costs, the estimated savings from the reductions in unplanned care are ∼£1.7 million. CONCLUSION: Vertical integration was associated with a reduction in the rate of unplanned hospital admissions and readmissions in this study. Further work is required to understand the mechanisms involved in this complex intervention, to assess the generalisability of these findings, and to determine the impact on patient satisfaction, health outcomes, and GP workload.

A systematic approach incorporating family history improves identification of cardiovascular disease risk.

BACKGROUND: Although family history (FH) is an independent predictor of cardiovascular disease (CVD) risk, traditional risk scores do not incorporate FH. Nurse practitioners routinely solicit FH but have no mechanism to incorporate the information into risk estimation. Underestimation of risk leaves clinicians misinformed and patients vulnerable to the CVD epidemic. OBJECTIVE: We examined a systematic approach incorporating FH in CVD risk assessment, validating risk reclassification using carotid intima-media thickness (CIMT), a surrogate measure of atherosclerosis. METHODS: Of 413 consecutive patients prospectively enrolled in the Integrative Cardiac Health Project Registry, a subgroup of 239 was low or intermediate risk by the Framingham Risk Score. A systematic approach for the assessment of FH was applied to this subgroup of the registry. A positive FH for premature CVD, defined as a first-degree relative having a CVD event before the age of 55 years in men and 65 years in women, conferred reclassification to high risk. Reclassification was validated with CIMT results. RESULTS: Chart audits revealed adherence to the systematic approach for FH assessment in 100% of cases. This systematic approach identified 115 of 239 (48%) patients as high risk because of positive FH. Of the reclassified patients, 75% had evidence of subclinical atherosclerosis by CIMT versus 55% in the patients not reclassified, P < 0.001. Logistic regression identified positive FH for premature CVD (odds ratio, 2.6; P = 0.001) among all variables, as the most significant predictor of abnormal CIMT, thus increasing risk for CVD. CONCLUSIONS: The Integrative Cardiac Health Project systematic approach incorporating FH into risk stratification enhances CVD risk assessment by identifying previously unrecognized high-risk patients, reduces variability in practice, and appropriately targets more stringent therapeutic goals for prevention.