Strategies and Interventions to Support Quality Outcomes in the Home Care Setting: A Longitudinal Multilevel Study.

BACKGROUND: The relationship between the practice environment, empowerment, and outcomes such as quality of care, job satisfaction, and intent to stay has been extensively studied in healthcare settings, including hospitals and long-term care facilities. Research consistently demonstrates that a positive practice environment, characterized by supportive leadership, adequate resources, and opportunities for professional growth, are associated with better quality of care, increased job satisfaction, and higher intent to stay among healthcare professionals. Limited knowledge exists regarding the specific relationship between the practice environment, empowerment, and these outcomes within home care organizations. OBJECTIVE: This study assesses the impact of strategies on nurse practice environment, social capital, decision latitude, workload, care quality, job satisfaction, and retention in a Belgian home healthcare organization. METHODS: A longitudinal survey was conducted in a home healthcare organization, with data collected at 3 time points: baseline (T1) (2015), T2 (2018), and T3 (2021). RESULTS: In T3, respondents reported significantly higher scores for departmental and general management compared with T1. The interventions led to significant improvements in social capital and decision latitude. Self-reported quality of care at the department level showed a significant increase, whereas no significant change was observed for quality of care during the last round. CONCLUSION: The implementation of strategies and interventions as part of a broader healthcare transformation process had a positive impact. Improvements were observed in nurse-reported quality of care, job satisfaction, and intent to stay in nursing. These findings emphasize the effectiveness of the implemented measures in enhancing nursing practice and creating a positive work environment. Continuous efforts to implement and evaluate such strategies are essential for enhancing the satisfaction and retention of nursing teams within healthcare organizations.

Combining the Nurse Intuition Patient Deterioration Scale with the National Early Warning Score provides more Net Benefit in predicting serious adverse events: A prospective cohort study in medical, surgical, and geriatric wards.

OBJECTIVES: This prospective cohort study aimed to assess the predictive value of the Nurse Intuition Patient Deterioration Scale (NIPDS) combined with the National Early Warning Score (NEWS) for identifying serious adverse events in patients admitted to diverse hospital wards. RESEARCH METHODOLOGY/DESIGN: Data was collected between December 2020 and February 2021 in a 350-bed acute hospital near Brussels, Belgium. The study followed a prospective cohort design, employing NIPDS alongside NEWS for risk assessment. Patients were monitored for 24 h post-registration, with outcomes recorded. SETTING: The study was conducted in a hospital with a Rapid Response System (RRS) and electronic patient record wherein NEWS was routinely collected. Patients admitted to two medical, two surgical, and two geriatric wards were included. MAIN OUTCOME MEASURES: The primary outcome included death, urgent code calls, or unplanned ICU transfers within 24 h after NIPDS registration. The secondary outcome comprised rapid response team activations or changes in Do-Not-Resuscitate codes. RESULTS: In a cohort of 313 patients, 10/313 and 31/313 patients reached the primary and secondary outcome respectively. For the primary outcome, NIPDS had a sensitivity of 0.900 and specificity of 0.927, while NEWS had a sensitivity of 0.300 and specificity of 0.974. Decision Curve Analysis demonstrated that NIPDS provided more Net Benefit across various Threshold Probabilities. Combining NIPDS and NEWS showed potential for optimizing rapid response systems. Especially in resource-constrained settings, NIPDS could be used as a calling criterion. CONCLUSION: The NIPDS displayed strong predictive capabilities for adverse events. Integrating NIPDS into existing rapid response systems can objectify nurse intuition, enhancing patient safety. IMPLICATIONS FOR CLINICAL PRACTICE: The Nurse Intuition Patient Deterioration Scale (NIPDS) is a valuable tool for detecting patient deterioration. Implementing NIPDS alongside traditional scores such as NEWS can improve patient care and safety. The optimal NIPDS threshold to activate rapid response is ≥5.

The third Medical Emergency Teams - Hospital outcomes in a day (METHOD3) study: The application of quality metrics for rapid response systems around the world.

Aim: This cross-sectional study aimed to assess the readiness of international hospitals to implement consensus-based quality metrics for rapid response systems (RRS) and evaluate the feasibility of collecting these metrics. Methods: A digital survey was developed and distributed to hospital administrators and clinicians worldwide. The survey captured data on the recommended quality metrics for RRS and collected information on hospital characteristics. Statistical analysis included descriptive evaluations and comparisons by country and hospital type. Results: A total of 109 hospitals from 11 countries participated in the survey. Most hospitals had some form of RRS in place, with multiple parameter track and trigger systems being commonly used. The survey revealed variations in the adoption of quality metrics among hospitals. Metrics related to patient-activated rapid response and organizational culture were collected less frequently. Geographical differences were observed, with hospitals in Australia and New Zealand demonstrating higher adoption of core quality metrics. Urban hospitals reported a lower number of recorded metrics compared to metropolitan and rural hospitals. Conclusion: The study highlights the feasibility of collecting consensus-based quality metrics for RRS in international hospitals. However, variations in data collection and adoption of specific metrics suggest potential barriers and the need for further exploration. Standardized quality metrics are crucial for effective RRS functioning and continuous improvement in patient care. Collaborative initiatives and further research are needed to overcome barriers, enhance data collection capabilities, and facilitate knowledge sharing among healthcare providers to improve the quality and safety of RRS implementation globally.

People-centered care and patients' beliefs about medicines and adherence: A cross-sectional study.

Introduction: People-centered care (PCC) strategies are believed to improve overall health outcomes. Medicines use is essential for the treatment of many patients with chronic conditions. Non-adherence rates are high and result in poor health outcomes, and increased healthcare utilization and costs. This study aimed to explore the relationship between PCC and adherence to medicines for persons with chronic medicines use, as well as the extent to which patients' beliefs about medicines are influenced by their level of perceived PCC. Methods: A cross-sectional survey design was performed with adults using at least 3 chronic medicines per day. To measure the degree of medicines adherence, patients' ideas about medication, and PCC, four validated questionnaires were used: The Medication Adherence Report Scale (MARS-5), Beliefs about medicines questionnaire (BMQ), Client-Centered Care Questionnaire (CCCQ) and the Shared Decision Making Questionnaire (SDM-Q-9). Socio-demographics, health status, and drug-related burden were questioned as potential factors to impact the relationship between PCC and adherence. Results: A sample of 459 persons participated. The mean score on the CCCQ (adjusted to pharmacotherapy) was 52.7 on 75 (sd = 8.83, range [18-70]). The top 20% scored 60 or more, the 20% lowest scores were 46 or less. Adherence levels were high, with a mean score of 22.6 on 25 on the MARS-5, and 88% scoring 20 or more. An increase in PCC corresponded to a higher chance of medicines adherence (OR 1.07, 95%CI [1.02-1.12]), corrected for age, the burden due to chronic diseases, the impact of side effects on daily life, and participants' beliefs about medicines. PCC showed positive correlations with the necessity of medicines use (r = 0.1, p = 0.016) and the balance between necessity and concerns (r = 0.3, p < 0.001); and negative correlations with levels of concerns (r = -0.3, p < 0.001) and scores on harmfulness (r = -0.3, p < 0.001) and overuse of medicines (r = -0.4, p < 0.001). Conclusion: Patients with chronic medicine use perceived an average high level of people-centeredness in the pharmaceutical care they received. This PCC was weakly positively associated with adherence to their medicines. The higher PCC was evaluated, the more patients believed in the necessity of the medicines use and the better the balance between necessity and concerns. The people-centeredness of pharmaceutical care showed several shortcomings and can still be improved. As such, healthcare providers are advised to actively engage in PCC, and not to wait passively for information provided by the patient.

Predicting patient deterioration by nurse intuition: The development and validation of the nurse intuition patient deterioration scale.

INTRODUCTION: Early warning scores based on vital signs are used in hospitals to estimate patient deterioration and to initiate an adequate and timely response when necessary. These scores show acceptable performance in predicting patient outcomes. However, they tend to generate many false positives leading to an increased workload in clinical practice. Additionally, nurses feel a tension between the application of an early warning score and their own clinical judgement. Nurse intuition is often included as an extra call criterion next to an early warning score. It is therefore important to investigate its predictive value. The aim of this study was to develop and validate a Nurse Intuition Patient Deterioration Scale (NIPDS). METHODS: The NIPDS was developed using the latest evidence after which relevant items were selected by an expert panel. The scale was tested in a prospective observational study in 2 surgical and 2 medical wards in a Belgian hospital. Data were collected from December 1st, 2019 until March 31st, 2020. A NIPDS registration was done at each patient admission and whenever the attending nurse felt worried. The studied outcomes were urgent physician assistance call, resuscitation team call, patient death, and unplanned transfer to intensive/medium care. Psychometric analyses and scale optimisation were carried out using Rasch modelling techniques. Finally, the scale's accuracy and an optimal threshold were determined. RESULTS: The scale item content validity index is 0.88 indicating that the selected items should be included in the instrument according to the expert panel. Item-total score correlation coefficients range between 0.573 (item 9 - pain) and 0.874 (item 6 - behaviour). The Person Separation Index is 0.814 indicating satisfactory discriminatory power. An overall fit of the NIPDS data to the Rasch model was confirmed. Rasch modelling showed that the item 'pain' signalled misfit. Furthermore, the person-item map showed disordered items which were corrected in the final model. The AUROC to predict an event within 24 h after registration was 0.957 (95% CI 0.932-0.982; p < 0.001) indicating excellent model performance. DISCUSSION: The results showed that the NIPDS is a valid and accurate instrument to predict events in surgical and medical patients. It showed better performance compared to an existing score estimating nurse intuition. In practice, the NIPDS could be used by nurses to estimate clinical deterioration in addition to an early warning score. It remains unclear if the combination of NIPDS with an early warning score could reduce workload without losing accuracy and this should be explored in future research. TWEETABLE ABSTRACT: Newly developed nurse intuition scale, which uses clinical cues to estimate deterioration in hospitalised patients, is brief and performs well in predicting physician assistance, resuscitation team calls, patient death and unplanned transfer to intensive or medium care.

A Hospitality Improvement Intervention in Residential Care Does Not Warrant Staff Job Satisfaction or Turnover Intention: A Cross-Sectional Survey Study Investigating the Hostmanship Program.

Background Accountability pressure is rising in healthcare, and this demonstrates that the quality of care provided within a residential care setting is of utmost importance. Hostmanship is a quality improvement program focusing on person-centered care in residential care settings. Objectives This study aimed to explore the influencing factors for job satisfaction and intention to leave among healthcare workers and the difference in job satisfaction and intention to leave the employer between residential care centers with and without Hostmanship. Methods A quantitative, cross-sectional study was conducted in sixteen Flemish residential care settings in Belgium. A total of 293 participants completed the questionnaire, divided into two groups: the group with Hostmanship (n = 139), at least one year into a change process implementing Hostmanship, and the group without the Hostmanship program (n = 154). Hierarchical logistic regression analysis estimated effects between demographic characteristics (block one), facility management, staffing and Hostmanship (block two), work characteristics (block three), and work engagement or burnout dimensions (block four) as explanatory variables of job satisfaction and turnover intention as outcome variables. Results This study confirmed the positive impact of social capital and decision latitude on staff member job satisfaction, as shown in previous findings. Age and workload were associated with turnover intentions. A hierarchical logistic regression model explained 68.7 % of the variance in workers' job satisfaction, and a hierarchical logistic regression explained 49.2% of the variance in their intent to leave. Also, no effects were found for Hostmanship on staff job satisfaction and intention to leave. Conclusions This study shows how a quality improvement project such as Hostmanship could produce counterintuitive results for organizations in elderly residential centers. However, results inconsistent with literature were found. It is unclear whether Hostmanship warrants job satisfaction or retaining personnel. Future research must take into consideration success factors when implementing new quality initiatives. A general framework for successful implementation in the healthcare sector should be provided.

Nurses' responsibilities and tasks in pharmaceutical care: A scoping review.

AIM: To provide an overview of responsibilities and tasks of nurses in pharmaceutical care. DESIGN: Scoping review. METHODS: Two databases were systematically searched (MEDLINE and Scopus) for recent original research papers concerning nurses' responsibilities and tasks in pharmaceutical care. The definition of responsibility was based on literature, moral and ethical discussions. Existing responsibilities and tasks beyond preparation and administration of medication were collected and synthesized. This main study outcome was extracted from titles and abstracts only. Results were reported in accordance with PRISMA-ScR guidelines. RESULTS: Of the 3,805 titles and abstracts reviewed, 453 abstracts were included. A total of seven responsibilities were identified: (a) management of therapeutic and adverse effects of medication, (b) management of medication adherence, (c) management of patient medication self-management, (d) management of patient education and information about medication, (e) prescription management, (f) medication safety management and (g) (transition of) care coordination. Within these responsibilities, all tasks performed by nurses were described.

Sufficient personal protective equipment training can reduce COVID-19 related symptoms in healthcare workers: A prospective cohort study.

BACKGROUND: The association between inadequate personal protective equipment during the COVID-19 pandemic and an increased risk of SARS-CoV-2 infection in frontline healthcare workers has been proven. However, frontline healthcare workers with an adequate supply of personal protective equipment still showed an increased risk of contracting COVID-19. Research on the use of personal protective equipment could provide insight into handling present and future pandemics. OBJECTIVES: This study aims to investigate the impact of the availability, training and correct selection of personal protective equipment on the incidence of SARS-CoV-2 infection or positive suspect cases in healthcare workers during the COVID-19 pandemic in Belgium. DESIGN: This was a prospective cohort study involving Belgian healthcare workers: nurses, nursing aides, and midwives working in hospitals, home care services, and residential care services. METHODS: Respondents were invited from May to July 2020 (period 1) followed by a second time in October 2020 (period 2) to complete a digital survey on personal protective equipment availability, training, personal protective equipment selection, screening ability, COVID-19 testing and status, and symptoms corresponding with the COVID-19 suspect case definition. The main outcome was a composite of COVID-19 status change (from negative to positive) during the study or a positive suspect case definition in period 2. RESULTS: Full data were available for 617 participants. The majority of respondents were nurses (93%) employed in a hospital (83%). In total, 379 respondents provided frontline care for COVID-19 patients (61%) and were questioned on personal protective equipment availability and personal protective equipment selection. Nurses were more likely to select the correct personal protective equipment compared with nursing aides and midwives. Respondents working in residential care settings were least likely to choose personal protective equipment correctly. Of all healthcare workers, 10% tested positive for COVID-19 during the course of the study and a composite outcome was reached in 54% of all respondents. Working experience and sufficient personal protective equipment training showed an inverse relation with the composite outcome. The relationship between personal protective equipment availability and the composite outcome was fully mediated by personal protective equipment training (-0.105 [95% confidence interval -0.211 - -0.020]). CONCLUSIONS: Proper training in personal protective equipment usage is critical to reduce the risk of COVID infection in healthcare workers. During a pandemic, rapid dissemination of video guidelines could improve personal protective equipment knowledge in practitioners. Tweetable abstract: Proper training in personal protective equipment usage is critical to reduce the risk of COVID infection in healthcare workers.

Role of resilience in healthcare workers' distress and somatization during the COVID-19 pandemic: A cross-sectional study across Flanders, Belgium.

AIM: To evaluate the impact and the possible role of psychological resilience in the COVID-19 pandemic outbreak on healthcare workers' mental and physical well-being in Belgium. DESIGN: This cross-sectional, survey-based study enrolled 1376 healthcare workers across Belgium from 17 April 2020 to 24 April 2020. METHODS: The study sample consisted of direct care workers (nurses and doctors), supporting staff and management staff members. The main outcomes are resilience, distress and somatization. RESULTS: Higher educational level was associated with lower symptoms of distress and somatization. Physicians exhibited the lowest risk of experiencing heightened levels of distress and somatization. Controlling for confounding factors, higher levels of resilience were associated with a 12% reduced chance of increased distress levels and 5% lower chance of increased somatization levels. Our results suggest the potentially buffering role of mental resilience on those working on the frontline during the COVID-19 pandemic outbreak.

The Role of Coping Behavior in Healthcare Workers' Distress and Somatization During the COVID-19 Pandemic.

Background: Constantly searching for a balance between work demands and their own physical and psychological health has challenged medical and nursing staff during the immediate wake of this COVID-19 viral epidemic leading to acute stress reactions and psychosomatic symptoms. Coping behavior might be a buffer for work-related stress in relation to mental well-being. The present study aims to evaluate the role of positive and negative stress-reducing activities on healthcare workers' mental and physical well-being. Methods: This was a cross-sectional study using an online survey that was sent out using our network of healthcare workers at the University of Antwerp and through social media. Socio-demographic data, coping behavior with the Palliative Pallet Scale (P3), and distress and somatization using the Four-dimensional symptom checklist were collected. Surveys were completed by 1,376 participants. Results: The results clearly showed that positive stress-reducing activities are related to fewer symptoms of distress and somatization. Providing direct care to COVID-19 patients was associated with a higher decrease of applying positive stress-reducing activities during the peak of the pandemic compared to the ideal situation. Finally, fewer symptoms of distress and somatization were associated with the following activities: reading, mind sports games, keeping a hobby collection, studying; engaging in sexual activities with your partner; cleaning the house, tidying up, working in the garden, doing household chores; exercising alone; walking, or taking a trip together with someone; exercise together with someone; watching TV, listening/playing (to) music/, playing computer games; playing a card game or other board game; and preparing something extra tasteful outside regular meals. Conclusion: Our study demonstrated an association between concrete coping behaviors and distress and somatization in healthcare workers during the first peak of the COVID-19 pandemic. The results provide relevant and additional insights to develop and investigate interventions among others in personal leadership and resilience.

Leadership in Nursing Excellence: The Magnet Recognition® Journey Experiences in Europe.

Improving work conditions and the provision of high-quality care and patient safety is an issue in European hospitals. Inspired by a US program for nursing excellence, Magnet Recognition, a Belgian hospital shared their experiences by organizing a summer school in 2019 with nurses of 21 hospitals from 9 countries. This article explains the hospital's research program, the link between the journey and the content of the summer school, lessons learned, and the extent to which participants of European hospitals were interested in nursing excellence and Magnet designation.

The optimal threshold for prompt clinical review: An external validation study of the national early warning score.

AIMS AND OBJECTIVES: The aim of this study was to determine the optimal threshold for national early warning score in clinical practice. BACKGROUND: The national early warning score is an aggregate early warning score aiming to predict patient mortality. Studies validating national early warning score did not use standardised patient outcomes or did not always include clinical workload in their results. Since all patients with a positive national early warning score require a clinical workup, it is crucial to determine the optimal threshold to limit false-positive alerts. DESIGN: An external validation study using retrospectively collected data of patient admissions in six Belgian hospitals. METHODS: We adhered to the STARD guideline for reporting. Two sample groups were selected: the cross-sectional sample (admitted patients, 1 day every 4 months) and the serious adverse event sample (all patients with unexpected death, cardiac arrest and unplanned admission to the intensive care unit). The maximum registered national early warning score value was collected in both groups. Predictive values were used as estimates for clinical workload. RESULTS: We collected 1,523 in the cross-sectional sample and 390 patients in the serious adverse event sample. A national early warning score ≥5 had a predictive value of 6.8% and a negative predictive value of 99.5% to predict unexpected death, cardiac arrest with cardiopulmonary resuscitation or unplanned admission to intensive care (AUROC 0.841). The performance of national early warning score differed between outcome measures. Considering the predictive value, the optimal threshold for national early warning score is ≥5. CONCLUSIONS: We validated national early warning score to be applied in general hospital wards and confirmed the optimal threshold (≥5). RELEVANCE TO CLINICAL PRACTICE: When a patient has a national early warning score <5, we may assume that in the next 24 hr this patient is less likely to die unexpectedly, receive cardiopulmonary resuscitation or be transferred to the ICU. Because of the significant number of false positives when national early warning score is ≥5, hospitals should create workable guidelines for clinical practice.

The impact of nurse staffing levels and nurse's education on patient mortality in medical and surgical wards: an observational multicentre study.

BACKGROUND: Growing evidence indicates that improved nurse staffing in acute hospitals is associated with lower hospital mortality. Current research is limited to studies using hospital level data or without proper adjustment for confounders which makes the translation to practice difficult. METHOD: In this observational study we analysed retrospectively the control group of a stepped wedge randomised controlled trial concerning 14 medical and 14 surgical wards in seven Belgian hospitals. All patients admitted to these wards during the control period were included in this study. Pregnant patients or children below 17 years of age were excluded. In all patients, we collected age, crude ward mortality, unexpected death, cardiac arrest with Cardiopulmonary Resuscitation (CPR), and unplanned admission to the Intensive Care Unit (ICU). A composite mortality measure was constructed including unexpected death and death up to 72 h after cardiac arrest with CPR or unplanned ICU admission. Every 4 months we obtained, from 30 consecutive patient admissions across all wards, the Charlson comorbidity index. The amount of nursing hours per patient days (NHPPD) were calculated every day for 15 days, once every 4 months. Data were aggregated to the ward level resulting in 68 estimates across wards and time. Linear mixed models were used since they are most appropriate in case of clustered and repeated measures data. RESULTS: The unexpected death rate was 1.80 per 1000 patients. Up to 0.76 per 1000 patients died after CPR and 0.62 per 1000 patients died after unplanned admission to the ICU. The mean composite mortality was 3.18 per 1000 patients. The mean NHPPD and proportion of nurse Bachelor hours were respectively 2.48 and 0.59. We found a negative association between the nursing hours per patient day and the composite mortality rate adjusted for possible confounders (B = - 2.771, p = 0.002). The proportion of nurse Bachelor hours was negatively correlated with the composite mortality rate in the same analysis (B = - 8.845, p = 0.023). Using the regression equation, we calculated theoretically optimal NHPPDs. CONCLUSIONS: This study confirms the association between higher nurse staffing levels and lower patient mortality controlled for relevant confounders.

An intervention including the national early warning score improves patient monitoring practice and reduces mortality: A cluster randomized controlled trial.

AIMS: To investigate the impact of the national early warning score on the frequency and the quality of vital sign registration and to study the association between protocol compliance and patient mortality. DESIGN: We conducted a post hoc data analysis of a stepped wedge cluster randomized controlled trial (RCT) in six hospitals. METHODS: All adult, non-pregnant patients admitted to 24 wards were included. The intervention comprised an observation protocol using the national early warning score combined with a pragmatic medical response strategy. Data collection lasted from October 2013-May 2015. Patient comorbidity scores and vital signs were sampled every 4 months on each ward. All vital signs in the 24 hr before a serious adverse event were collected. RESULTS: Patients (N = 60,956) were included of which 32,722 in the intervention group. Comorbidity scores were sampled in 3,600 patients and vital signs in 2,951 patients. In 668 patients, vital signs were collected before a serious adverse event. The mean number of vital signs per observation increased significantly in the intervention group. The observation frequency increased in patients with a serious adverse event and decreased in patients without a serious adverse event. Protocol compliance was negatively associated with patient mortality adjusted for comorbidity and age. CONCLUSION: Our intervention improved patient monitoring practice and reduced mortality. IMPACT: The impact of early warning scores on patient monitoring practice and patient outcomes remains unclear. Our intervention improved the observation of patients and reduced patient mortality. These results could support hospitals in their decision to implement rapid response systems. TRIAL REGISTRATION: We have registered this study in the clinicaltrials.gov database (identifier: NCT01949025).

The introduction of a rapid response system in acute hospitals: A pragmatic stepped wedge cluster randomised controlled trial.

AIM: Deterioration of hospitalised patients is often missed, misinterpreted, and mismanaged. Rapid Response Systems (RRSs) have been proposed to solve this problem. This study aimed to investigate the effect of an RRS on the incidence of unexpected death, cardiac arrest with cardiopulmonary resuscitation (CPR), and unplanned intensive care unit (ICU) admission. METHODS: We conducted a stepped wedge cluster randomised controlled trial including 14 Belgian acute care hospitals with two medical and two surgical wards each. The intervention comprised a standardised observation and communication protocol including a pragmatic medical response strategy. Comorbidity and nurse staff levels were collected as potential confounders. RESULTS: Twenty-eight wards of seven hospitals were studied from October 2013 until May 2015 and included in the final analysis. The control group contained 34,267 patient admissions and the intervention group 35,389. When adjusted for clustering and study time, we found no significant difference between the control and intervention group in unexpected death rates (1.5 vs 0.7/1000, OR 0.82, 95%CI 0.34-1.95), cardiac arrest rates (1.3 vs 1.0/1000, OR 0.71, 95%CI 0.33-1.52) or unplanned ICU admissions (6.5 vs 10.3/1000, OR 1.23, 95%CI 0.91-1.65). CONCLUSION: Our intervention had no significant effect on the incidence of unexpected death, cardiac arrest or unplanned ICU admission when adjusted for clustering and study time. We found a lower than expected baseline incidence of unexpected death and cardiac arrest rates which reduced the statistical power significantly in this study.

Six-day postoperative impact of a standardized nurse observation and escalation protocol: a preintervention and postintervention study.

PURPOSE: The purpose of the study is to determine the impact of a standardized nurse observation and escalation protocol on observation frequency, the measurement of vital signs, and the incidence of in-hospital mortality and resurgery. METHODS: This is a preintervention and postintervention study by analysis of patient records for a 6-day postoperative period of all adult patients hospitalized in 4 hospital wards after surgery during a preintervention (November 2010 to March 2011; n = 2359) and postintervention (November 2011 to March 2012; n = 1888) period implementing a standardized nurse observation and escalation protocol including the Modified Early Warning Score. RESULTS: The mean patient observation frequency per nursing shift increased from 0.9076 (95% confidence interval [CI], 0.8921-0.9231) preintervention to 0.9940 (95% CI, 0.9708-1.0172; P < .001) postintervention and was lower in case of 6-day postoperative mortality (0.6686 [95% CI, 0.4984-0.8388] vs other patients 0.9475 [95% CI, 0.9340-0.9610]; P = .003) or resurgery (0.8402 [95% CI, 0.7894-0.8909] vs other patients 0.9564 [95% CI, 0.9378-0.9657]; P = .003). The mean number of vital signs measured per observation episode increased from a mean of 1.81 (95% CI, 1.79-1.83) preintervention to 2.45 (95% CI, 2.39-2.51; P < .001) postintervention. The relative risk reduction was 73.7% (95% CI, 22.8-91.0; P = .015) for 6-day postoperative in-hospital mortality and 30.9% (95% CI, 9.5-47.2; P = .007) for 6-day postoperative resurgery.