Development and Validation Process of the Intensive Care Unit Omitted Nursing Care (ICU-ONC) Instrument Among French Canadian Nurses.

Background and Purpose: The purpose of this article is to document the development and validation process of an instrument adapted for French-speaking nurses and to measure the occurrence of omitted nursing care (ONC) in the intensive care unit (ICU). Methods: An electronic Delphi panel, involving ICU nursing experts from the province of Quebec (Canada), was used to develop the intensive care unit omitted nursing care (ICU-ONC) instrument. For the validation process, an electronic cross-sectional survey was conducted. Results: A total of 564 nurses participated in the validation study. Exploratory factor analysis performed on 478 complete observations supports the presence of a single-factor structure for the 22-item ICU-ONC instrument. Coefficient alpha for the scale was .93, 95% confidence interval (CI) was [0.92, 0.94], item-partial total correlations ranged from .49 and .68, and the mean/median interitem correlations were .38 and .37, respectively. Moderate negative correlations were found between the ICU-ONC instrument overall score and two related constructs: nurses' perception of the quality as well as the safety of care. Conclusions: Our current understanding of ONC in the ICU is based on the results drawn from the administration of generic instruments to ICU nurses. The novel 22-item ICU-ONC instrument can help better estimate the occurrence of the phenomena in the ICU.

The External Validation of the Nursing Homes Short Depression Inventory in Older Adults with Major Neurocognitive Disorders in Long-Term Care Centers.

INTRODUCTION: Depression is often difficult to detect in long-term care (LTC) patients with major neurocognitive disorders (MNCD), and an observer-rated screening scale could facilitate assessments. This study aimed to establish the external validity and reliability of the Nursing Homes Short Depression Inventory (NH-SDI) in LTC patients with MNCD and to compare its estimates to the Cornell Scale for Depression in Dementia (CSDD), the most used scale for depression in MNCD. METHODS: A focus discussion group of experts assessed the content validity of the NH-SDI. Then, a convenience sample of 93 LTC patients with MNCD was observer-rated by trained nurses with the NH-SDI and CSDD. For 57 patients, a medical assessment of depression was obtained, and screening accuracy estimates were generated. RESULTS: The prevalence of depression was 8.8% as per reference standard. NH-SDI's content validity was judged acceptable with minor item wording modifications and specifications. The NH-SDI (cut-off ≥3) achieved 100% (95% confidence interval [CI]: 46-100%) sensitivity, 83% (95% CI: 69-91%) specificity, and 36% (95% CI: 14-64%) positive predictive value (PPV). The CSDD (cut-off ≥3) achieved 100% (95% CI: 46-100%) sensitivity, 75% (95% CI: 61-86%) specificity, and 28% (95% CI: 11-54%) PPV. No significant differences in areas under the receiver operating characteristic curve were found between scales. The NH-SDI and CSDD were highly correlated (rs = 0.913; p < 0.001) and reliable (ICC = 0.77; p < 0.001). CONCLUSION: The NH-SDI appears valid and reliable in LTC patients with MNCD and quicker than the CSDD to rule out depression in a busy or short-staffed setting.

Staff Training Interventions to Prevent or Reduce Behavioural and Psychological Symptoms of Dementia in Nursing Home Residents: A Mixed Methods Systematic Review.

INTRODUCTION: Nursing home (NH) staff mention knowledge deficits regarding the management of behavioural and psychological symptoms of dementia (BPSDs) in residents with neurocognitive disorders (NCDs). Staff training therefore appears to be necessary. However, existing evidence on best training practices and their outcomes remains scattered. This systematic review aimed to (1) identify the best clinical practices and theoretical bases of staff training interventions on BPSD management in NHs and (2) summarize the effects of these interventions on resident and staff outcomes. METHODS: A mixed methods systematic review was conducted. Two nurse researchers independently searched nine electronic databases to identify studies on the efficacy of staff training interventions aimed at BPSD management in NHs, on a variety of resident and staff outcomes. The search was conducted for articles published between 1996 and 2022, using selected keywords, MeSH terms, and predefined eligibility criteria. The methodological quality of the retrieved studies was assessed using JBI checklists. RESULTS: Overall, 39 studies in 47 articles were included. Ten categories of trainings were identified, of which three demonstrated the most promising results on both residents and staff: (1) structured protocols and models, (2) person-centred bathing, and (3) communication techniques. The methodological quality of the retrieved studies was generally weak. Issues with intervention feasibility and reproducibility were also noted. CONCLUSION: Training interventions incorporating structured protocols and models, person-centred bathing, and communication techniques are associated with better staff and resident outcomes. However, there is a strong need for high-quality research to strengthen existing evidence and ensure feasibility and reproducibility.

Accuracy of Observer-Rated Measurement Scales for Depression Assessment in Patients with Major Neurocognitive Disorders Residing in Long-Term Care Centers: A Systematic Review.

INTRODUCTION: Depression is often under-detected in long-term care (LTC) patients with major neurocognitive disorders (MNCD) and is associated with important morbidity, mortality, and costs. Observer-rated outcome measures (ObsROMs) could help resolve this problematic; however, evidence on their accuracy is scattered in the literature. This systematic review aimed at summarizing this evidence. METHODS: A literature search was conducted in 7 databases using keywords, MeSHs, and bibliographic searches. We included studies published before January 2022 and reporting on the accuracy of a depression ObsROM used in LTC patients with MNCD. Data extraction, analysis, synthesis, and study methodological quality assessments were done by two authors, and discrepancies were resolved by consensus. RESULTS: Among 9,660 articles retrieved, 8 studies reporting on 11 depression measures were included. Scales were classified as patient-reported outcome measures used as Obs-ROMs or true ObsROMs. Among the first category, the Cornell Scale for Depression in Dementia (CSDD) and the Montgomery-Asberg Depression Rating Scale (MADRS) performed best (area under the curve [AUC]: 0.73-0.87), although both presented with low positive predictive values and high negative predictive values. Among the second category, the Nursing Homes Short Depression Inventory (NH-SDI) performed best, with an AUC of 0.93 and ≥85% sensitivity, specificity, and predictive values. CONCLUSION: The CSDD and MADRS may be useful to rule out depression in LTC patients with MNCD, whereas the NH-SDI may be useful to rule in and out depression within this same population. Before recommending their use, adequately powered studies to further examine their accuracy in different contexts are necessary.

Adapting the Healthy Work Environment Assessment Tool for French-Canadian Intensive Care Nurses.

BACKGROUND: Self-administered instruments are used to measure components of work environments that cannot be measured directly. The Healthy Work Environment Assessment Tool (HWEAT) of the American Association of Critical-Care Nurses is a promising instrument. However, it is available only in English and Japanese, precluding its use in other populations and cross-national comparisons. OBJECTIVES: To describe the Canadian French translation and cross-cultural adaptation of the HWEAT (F-HWEAT) and to explore its factor structure and psychometric properties. METHODS: Cross-cultural adaptation of the HWEAT and collection of evidence of validity via an electronic cross-sectional survey. RESULTS: A total of 564 intensive care unit nurses participated in the validation study. Confirmatory factor analysis supported the presence of a single overarching factor measured by the F-HWEAT. The Cronbach α for the instrument was 0.89 (95% CI, 0.88-0.91). The mean and median interitem correlations were both 0.32, and item-partial total correlations ranged from 0.33 to 0.64. The overall F-HWEAT score indicated that nurses believed their work environment needed improvements. Moderate positive correlations were found between the overall F-HWEAT score and nurses' perceptions of care quality (r = 0.45 [95% CI, 0.38-0.51]) and safety (r = 0.48 [95% CI, 0.40-0.55]). CONCLUSION: The results support the use of the F-HWEAT in French-speaking populations. Using the F-HWEAT will help elucidate areas needing improvement and expand global dialogues about healthy critical care work environments. With this information, nurse leaders and researchers can develop and implement modern strategies to improve the work conditions of intensive care unit nurses.

The characteristics and factors associated with omitted nursing care in the intensive care unit: A cross-sectional study.

INTRODUCTION: Prior research showed that work environment features in acute care settings influence nurses' capacity to provide care and impacts patient outcomes (e.g., falls). However, little is known about this phenomenon in the intensive care unit. The objectives of this study were to describe the characteristics of omitted nursing care, and to examine the associations between work environment features, omitted nursing care and nurse-reported outcomes in the intensive care unit. METHODS: An electronic cross-sectional correlational study was conducted in the province of Quebec, Canada. Over September 2021, nurses were asked to complete the Healthy Work Environment Assessment Tool (HWEAT), the Intensive Care Unit Omitted Nursing Care instrument (ICU-ONC) and to report their perceptions of nurse-reported outcomes (e.g., quality of care). The associations between these variables were estimated using multivariable cluster-robust regression models, adjusted for nurse and hospital characteristics. RESULTS: A total of 493 nurses from 42 distinct hospitals participated to this study. On average, nurses felt that their work environment was acceptable, and that the quality and safety of patient care was good. Basic care activities (e.g., mobilisation) were most frequently reported as omitted as opposed to those related to surveillance and medical interventions. In multivariable analyses, higher work environment scores were associated with reduced omitted nursing care scores (p < 0.001) and better ratings for nurse-reported outcomes (p < 0.001). Also, higher omitted nursing care scores were associated with more negative perceptions about the quality and safety of care (p < 0.001). CONCLUSION: Our study portrays the characteristics and some factors associated with omitted nursing care in the intensive care unit. Further research should determine whether intensive care nurses' reports of organisational features and omitted nursing care are associated with objectively captured patient outcomes.

Nurse Staffing Practices and Postoperative Atrial Fibrillation Among Cardiac Surgery Patients: A Multisite Cohort Study.

BACKGROUND: Postoperative atrial fibrillation (POAF) is a frequent complication of cardiac surgery that is associated with increased morbidity, mortality, and costs. Recent studies suggest that nurse staffing practices are associated with adverse postoperative events, but whether these practices are also related to POAF occurrence is unknown. METHODS: To fill this knowledge gap, a cohort of 6401 cardiac surgery patients admitted to 2 Canadian university health centres (UHC A and UHC B) between 2014 and 2018 was studied. Patients' cumulative exposure to 4 staffing practices (registered nurse [RN] understaffing, education, experience, and non-RN skill mix) was measured every shift over the first 6 postoperative days, during which 96% of POAF cases occur. The associations of these exposures with in-hospital POAF occurrence were estimated using site-specific multivariable logistic regression models and a mixed-effect model combining data from both sites. RESULTS: Overall, 563 (27.2%) and 1336 (30.8%) cases of POAF occurred at UHC A and UHC B, respectively. In site-specific models, every 5% increase in the cumulative proportion of understaffed shifts over the first 6 postoperative days was associated with a 3.5% increase in the odds of POAF (adjusted odds ratio [aOR] for UHC A: 1.035; 95% confidence interval [CI]: 1.000-1.070, P = 0.0472; aOR for UHC B: 1.035; 95% CI: 1.013-1.057, P = 0.0019). In the mixed-effect model combining data from both sites, RN understaffing remained significant and was associated with a 3.1% increase in the odds of POAF (aOR: 1.031; 95% CI: 1.014-1.048, P = 0.0003). No other staffing practices were significantly associated with POAF occurrence. CONCLUSION: Higher RN understaffing postoperatively is associated with increased POAF occurrence among cardiac surgery patients.

CONTEXTE: La fibrillation auriculaire postopératoire (FAPO) constitue une complication fréquente de la chirurgie cardiaque. Elle est associée à une morbidité, à une mortalité et à des coûts accrus. Des études récentes donnent à penser que les pratiques de dotation en personnel infirmier sont associées à des événements postopératoires indésirables, mais on ne sait pas si ces pratiques sont également liées à la survenue de la FAPO. MÉTHODOLOGIE: Pour combler cette lacune dans nos connaissances, une étude a été menée sur une cohorte de 6 401 patients ayant subi une chirurgie cardiaque et ayant été admis dans deux centres hospitaliers universitaires canadiens (CHU A et CHU B) entre 2014 et 2018. L'exposition cumulative des patients à quatre pratiques de dotation (travail en sous-effectif, éducation, expérience et éventail de compétences non infirmières du personnel infirmier) a été mesurée au cours de chaque quart de travail pendant les six premiers jours de la période postopératoire, au cours desquels 96 % des cas de FAPO se produisent. L'association des expositions avec les cas de FAPO survenus en cours d'hospitalisation a été estimée à l'aide de modèles de régression logistique à variables multiples tenant compte du lieu et d'un modèle à effets mixtes combinant les données des deux centres. RÉSULTATS: Globalement, 563 (27,2 %) et 1 336 (30,8 %) cas de FAPO sont survenus respectivement au CHU A et au CHU B. Dans les mo-dèles tenant compte du lieu, chaque augmentation de 5 % de la proportion cumulative de quarts de travail en sous-effectif au cours des six premiers jours de la période postopératoire était associée à une hausse de 3,5 % du risque de FAPO (rapport de cotes ajusté [RCa] pour le CHU A : 1,035; intervalle de confiance [IC] à 95 % : 1,000-1,070, P = 0,0472; RCa pour le CHU B : 1,035; IC à 95 % : 1,013-1,057, P = 0,0019). Dans le modèle à effets mixtes combinant les données des deux centres, le travail infirmier en sous-effectif demeurait significatif et était associé à une hausse de 3,1 % du risque de FAPO (RCa : 1,031; IC à 95 % : 1,014-1,048, P = 0,0003). Aucune autre pratique de dotation en personnel infirmier n'a été associée de façon significative à la survenue de FAPO. CONCLUSION: Un taux élevé de travail infirmier en sous-effectif pendant la période postopératoire est associé à une fréquence accrue des cas de FAPO chez les patients qui ont subi une chirurgie cardiaque.

Effects of Telerehabilitation on Patient Adherence to a Rehabilitation Plan: Protocol for a Mixed Methods Trial.

BACKGROUND: Strong evidence supports beginning stroke rehabilitation as soon as the patient's medical status has stabilized and continuing following discharge from acute care. However, adherence to rehabilitation treatments over the rehabilitation phase has been shown to be suboptimal. OBJECTIVE: The aim of this study is to assess the impact of a telerehabilitation platform on stroke patients' adherence to a rehabilitation plan and on their level of reintegration into normal social activities, in comparison with usual care. The primary outcome is patient adherence to stroke rehabilitation (up to 12 weeks), which is hypothesized to influence reintegration into normal living. Secondary outcomes for patients include functional recovery and independence, depression, adverse events related to telerehabilitation, use of services (up to 6 months), perception of interprofessional shared decision making, and quality of services received. Interprofessional collaboration as well as quality of interprofessional shared decision making will be measured with clinicians. METHODS: In this interrupted time series with a convergent qualitative component, rehabilitation teams will be trained to develop rehabilitation treatment plans that engage the patient and family, while taking advantage of a telerehabilitation platform to deliver the treatment. The intervention will be comprised of 220 patients who will take part in stroke telerehabilitation with an interdisciplinary group of clinicians (telerehabilitation group) versus face-to-face standard of care (control group: n=110 patients). RESULTS: Our Research Ethics Board approved the study in June 2020. Data collection for the control group is underway, with another year planned before we begin the intervention phase. CONCLUSIONS: This study will contribute to the minimization of both knowledge and practice gaps, while producing robust, in-depth data on the factors related to the effectiveness of telerehabilitation in a stroke rehabilitation continuum. Findings will inform best practice guidelines regarding telecare services and the provision of telerehabilitation, including recommendations for effective interdisciplinary collaboration regarding stroke rehabilitation. TRIAL REGISTRATION: ClinicalTrials.gov NCT04440215; https://clinicaltrials.gov/ct2/show/NCT04440215. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/32134.

Interventions to prevent or reduce rationing or missed nursing care: A scoping review.

AIMS: To collate and synthesize published research on interventions developed and tested to prevent or reduce the rates of rationed or missed nursing care in healthcare institutions. BACKGROUND: Rationed and missed nursing care has been widely studied, including its predictors and associations with patient and nurse outcomes. DESIGN: Scoping review. DATA SOURCES: We searched for eligible studies, published between 1980-2019, in six electronic databases. REVIEW METHODS: Researchers independently screened the abstracts of the retrieved studies using the inclusion and exclusion criteria. The decision of whether or not to include any given study was consensus-based. RESULTS: The search yielded 1,815 records, of which 13 were included. Three studies reported structural interventions, namely increased nurse staffing and improved nursing teamwork, both resulted in significant reductions in the rates of rationed or missed nursing care. The remaining 10 studies reported on process interventions: four concerned reminders (via technology or designated persons) and seven described interventions to change or optimize the relevant care processes. All 10 process interventions contributed to significant reductions in the rates of missed nursing care. CONCLUSIONS: The results of the scoping review indicate that specific interventions can positively influence the performance of a selected nursing care activity, for example fall prevention. There is no evidence of a global reduction of rationed and missed nursing care through these interventions. IMPACT: Clinicians, managers and researchers can use the results for adapting and implementing interventions to reduce rationed and missed nursing care.

Nurse staffing practices and adverse events in acute care hospitals: The research protocol of a multisite patient-level longitudinal study.

AIMS: We describe an innovative research protocol to: (a) examine patient-level longitudinal associations between nurse staffing practices and the risk of adverse events in acute care hospitals and; (b) determine possible thresholds for safe nurse staffing. DESIGN: A dynamic cohort of adult medical, surgical and intensive care unit patients admitted to 16 hospitals in Quebec (Canada) between January 2015-December 2019. METHODS: Patients in the cohort will be followed from admission until 30-day postdischarge to assess exposure to selected nurse staffing practices in relation to the subsequent occurrence of adverse events. Five staffing practices will be measured for each shift of an hospitalization episode, using electronic payroll data, with the following time-varying indicators: (a) nursing worked hours per patient; (b) skill mix; (c) overtime use; (d) education mix and; and (e) experience. Four high-impact adverse events, presumably associated with nurse staffing practices, will be measured from electronic health record data retrieved at the participating sites: (a) failure-to-rescue; (b) in-hospital falls; (c) hospital-acquired pneumonia and; and (d) venous thromboembolism. To examine the associations between the selected nurse staffing exposures and the risk of each adverse event, separate multivariable Cox proportional hazards frailty regression models will be fitted, while adjusting for patient, nursing unit and hospital characteristics, and for clustering. To assess for possible staffing thresholds, flexible non-linear spline functions will be fitted. Funding for the study began in October 2019 and research ethics/institutional approval was granted in February 2020. DISCUSSION: To our knowledge, this study is the first multisite patient-level longitudinal investigation of the associations between common nurse staffing practices and the risk of adverse events. It is hoped that our results will assist hospital managers in making the most effective use of the scarce nursing resources and in identifying staffing practices that minimize the occurrence of adverse events.

Associations of 4 Nurse Staffing Practices With Hospital Mortality.

BACKGROUND: Cross-sectional studies of hospital-level administrative data have suggested that 4 nurse staffing practices-using adequate staffing levels, higher proportions of registered nurses (RNs) (skill mix), and more educated and experienced RNs-are each associated with reduced hospital mortality. To increase the validity of this evidence, patient-level longitudinal studies assessing the simultaneous associations of these staffing practices with mortality are required. METHODS: A dynamic cohort of 146,349 adult medical, surgical, and intensive care patients admitted to a Canadian University Health Center was followed for 7 years (2010-2017). We used a multivariable Cox proportional hazards model to estimate the associations between patients' time-varying cumulative exposure to measures of RN understaffing, skill mix, education, and experience, each relative to nursing unit and shift means, and the hazard of in-hospital mortality, while adjusting for patient and nursing unit characteristics, and modeling the current nursing unit of hospitalization as a random effect. RESULTS: Overall, 4854 in-hospital deaths occurred during 3,478,603 patient-shifts of follow-up (13.95 deaths/10,000 patient-shifts). In multivariable analyses, every 5% increase in the cumulative proportion of understaffed shifts was associated with a 1.0% increase in mortality (hazard ratio: 1.010; 95% confidence interval: 1.002-1.017; P=0.009). Moreover, every 5% increase in the cumulative proportion of worked hours by baccalaureate-prepared RNs was associated with a 2.0% reduction of mortality (hazard ratio: 0.980; 95% confidence interval: 0.965-0.995, P=0.008). RN experience and skill mix were not significantly associated with mortality. CONCLUSION: Reducing the frequency of understaffed shifts and increasing the proportion of baccalaureate-prepared RNs are associated with reduced hospital mortality.

Validation of an algorithm based on administrative data to detect new onset of atrial fibrillation after cardiac surgery.

INTRODUCTION: Postoperative atrial fibrillation (POAF) is a frequent complication of cardiac surgery associated with important morbidity, mortality, and costs. To assess the effectiveness of preventive interventions, an important prerequisite is to have access to accurate measures of POAF incidence. The aim of this study was to develop and validate such a measure. METHODS: A validation study was conducted at two large Canadian university health centers. First, a random sample of 976 (10.4%) patients who had cardiac surgery at these sites between 2010 and 2016 was generated. Then, a reference standard assessment of their medical records was performed to determine their true POAF status on discharge (positive/negative). The accuracy of various algorithms combining diagnostic and procedure codes from: 1) the current hospitalization, and 2) hospitalizations up to 6 years before the current hospitalization was assessed in comparison with the reference standard. Overall and site-specific estimates of sensitivity, specificity, positive (PPV), and negative (NPV) predictive values were generated, along with their 95%CIs. RESULTS: Upon manual review, 324 (33.2%) patients were POAF-positive. Our best-performing algorithm combining data from both sites used a look-back window of 6 years to exclude patients previously known for AF. This algorithm achieved 70.4% sensitivity (95%CI: 65.1-75.3), 86.0% specificity (95%CI: 83.1-88.6), 71.5% PPV (95%CI: 66.2-76.4), and 85.4% NPV (95%CI: 82.5-88.0). However, significant site-specific differences in sensitivity and NPV were observed. CONCLUSION: An algorithm based on administrative data can identify POAF patients with moderate accuracy. However, site-specific variations in coding practices have significant impact on accuracy.

Are hospital nurse staffing practices associated with postoperative cardiac events and death? A systematic review.

INTRODUCTION: Postoperative cardiac events are frequent complications of surgery, and their occurrence could be associated with suboptimal nurse staffing practices, but the existing evidence remains scattered. We systematically reviewed studies linking nurse staffing practices to postoperative cardiac events and two related outcomes, all-cause mortality and failure-to-rescue. METHODS: A systematic search of the English/French literature was undertaken in the CINAHL, PsychInfo, and Medline databases. Studies were included if they: a) were published between 1996 and 2018; b) used a quantitative design; c) examined the association between at least one of seven staffing practices of interest (i.e., staffing levels, skill mix, work environment characteristics, levels of education and experience of the registered nurses, and overtime or temporary staff use) and postoperative cardiac events, mortality or failure-to-rescue; and d) were conducted among surgical patients. Data extraction, analysis, and synthesis, along with study methodological quality appraisal, were performed by two authors. High methodological heterogeneity precluded a formal meta-analysis. RESULTS: Among 3,375 retrieved articles, 44 studies were included (39 cross-sectional, 3 longitudinal, 1 case-control, 1 interrupted time series). Existing evidence shows that higher nurse staffing levels, a higher proportion of registered nurses with an education at the baccalaureate degree level, and more supportive work environments are related to lower rates of both 30-day mortality and failure-to-rescue. Other staffing practices were less often studied and showed inconsistent associations with mortality or failure-to-rescue. Similarly, few studies (n = 10) examined the associations between nurse staffing practices and postoperative cardiac events and showed inconsistent results. CONCLUSION: Higher nurse staffing levels, higher registered nurse education (baccalaureate degree level) and more supportive work environments were cross-sectionally associated with lower 30-day mortality and failure-to-rescue rates among surgical patients, but longitudinal studies are required to corroborate these associations. The existing evidence regarding postoperative cardiac events is limited, which warrants further investigation.

Conceptual and methodological challenges of studies examining the determinants and outcomes of omitted nursing care: A narrative review of the literature.

BACKGROUND: Over the past two decades, several studies have examined the determinants and outcomes of omitted nursing care in hospitals and other settings. These studies have raised several challenges associated with the definition and measurement of this phenomenon which must be addressed to move the field forward. However, these challenges remain scattered throughout the literature. OBJECTIVES: To synthesize the conceptual and methodological challenges of studies examining the determinants and outcomes of omitted nursing care, and to identify avenues for further research. METHOD: A narrative review of the literature was conducted. Relevant studies published between 2001 and 2018 were identified using four electronic databases: CINAHL, Medline, Cochrane Library and Health Management Database. Study selection, data extraction, and synthesis were carried independently by two authors following a standardized protocol, and discrepancies were resolved by consensus. Thematic analysis was used to summarize and characterize the main conceptual and methodological challenges identified. RESULTS: Our initial search yielded 5214 citations of which 52 primary studies and 7 literature reviews met our inclusion criteria. Six conceptual and methodological challenges were identified, the: 1) use of self-reported measures; 2) use of cross-sectional designs; 3) multidimensional nature of omitted nursing care; 4) interdisciplinary and collaborative nature of health care, 5) content validity of existing instruments and, 6) multiplicity of conceptual definitions. CONCLUSION: We identified six challenges that characterize studies on the determinants and outcomes of omitted nursing care. For each, several solutions are proposed. To strengthen this body of evidence, patient-level longitudinal studies should be pursued. It is also required to develop and validate more objective measures of omitted nursing care. Developing such measures must involve registered nurses at the bedside, to ensure their feasibility and acceptability.

Development of a New Comorbidity Assessment Tool for Specific Prediction of Perioperative Mortality in Contemporary Patients Treated with Radical Cystectomy.

PURPOSE: The Deyo adaptation of the Charlson comorbidity index (DaCCI), which relies on 17 comorbid condition groupings defined with 200 ICD-9-CM diagnostic codes, lacks specificity in the context of radical cystectomy (RC) for bladder cancer (BCa). We attempted to develop a new comorbidity assessment tool based on individual comorbid conditions and/or BCa manifestations for specific prediction of perioperative mortality after RC. METHODS: We relied on 7076 T1-T4 nonmetastatic BCa patients treated with RC between 2000 and 2009 in the SEER-Medicare linked database. Within the development cohort (n = 6076), simulated annealing (SA) was used to identify (1) individual comorbid conditions, (2) individual BCa manifestations, and (3) the combination of both, that satisfy the criteria of maximal accuracy and parsimony for prediction of 90-day mortality after RC, after adjusting for several confounders. The accuracy of the newly identified groups of individual comorbid conditions and/or BCa manifestations and of the original DaCCI was tested in a 1000-patient external validation cohort. RESULTS: The combination of six individual comorbid conditions and two individual BCa disease manifestations (type II diabetes without complications, anemia, chronic obstructive pulmonary disease, congestive heart failure, aortocoronary bypass, cardiomegaly, urinary tract infection, and hydronephrosis), and seven individual comorbid conditions (type II diabetes without complications, anemia, chronic obstructive pulmonary disease, congestive heart failure, aortocoronary bypass, osteoarthrosis, and cardiomegaly) respectively showed 71.1 and 70.2% accuracy versus 68.0% for the original DaCCI. CONCLUSIONS: These new approaches are specific to contemporary RC patients and represent simpler methods compared with the original DaCCI, without any compromise in accuracy.

Discursive practice - lean thinking, nurses' responsibilities and the cost to care.

PURPOSE: The purpose of this paper is to explore the literature regarding work intensification that is being experienced by nurses, to examine the effects this is having on their capacity to complete care. The authors contend that nurses' inability to provide all the care patients require, has negative implications on their professional responsibility. DESIGN/METHODOLOGY/APPROACH: The authors used institutional ethnography to review the discourse in the literature. This approach supports inquiry through the review of text in order to uncover activities that remain institutionally accepted but unquestioned and hidden. FINDINGS: What the authors found was that the quality and risk management forms an important part of lean thinking, with the organisational culture influencing outcomes; however, the professional cost to nurses has not been fully explored. RESEARCH LIMITATIONS/IMPLICATIONS: The text uncovered inconsistency between what organisations accepted as successful cost savings, and what nurses were experiencing in their attempts to achieve the care in the face of reduced time and human resources. Nurses' attempts at completing care were done at the risk of their own professional accountability. PRACTICAL IMPLICATIONS: Nurses are working in lean and stressful environments and are struggling to complete care within reduced resource allocations. This leads to care rationing, which negatively impacts on nurses' professional practice, and quality of care provision. ORIGINALITY/VALUE: This approach is a departure from the standard qualitative review because the focus is on the textual relationships between what is being advocated by organisations directing cost reduction and what is actioned by the nurses working at the coalface. The discordant standpoints between these two juxtapositions are identified.

Associations between nurse education and experience and the risk of mortality and adverse events in acute care hospitals: A systematic review of observational studies.

OBJECTIVES: To provide knowledge from the summarization of the evidence on the: a) associations between nurse education and experience and the occurrence of mortality and adverse events in acute care hospitals, and; b) benefits to patients and organizations of the recent Institute of Medicine's recommendation that 80% of registered nurses should be educated at the baccalaureate degree by 2020. DATA SOURCES: A systematic search of English and French literature was conducted in six electronic databases: 1) Medline, 2) PubMed, 3) CINAHL, 4) Scopus, 5) Campbell, and 6) Cochrane databases. Additional studies were identified by searching bibliographies, prior reviews, and by contacting authors. REVIEW METHOD: Studies were included if they: a) were published between January 1996 and August 2017; b) were based on a quantitative research design; c) examined the associations between registered nurse education or experience and at least one independently measured adverse event, and; d) were conducted in an adult acute care setting. Data were independently extracted, analysed, and synthesized by two authors and discrepancies were resolved by consensus. The methodological heterogeneity of the reviewed studies precluded the use of meta-analysis techniques. However, the methodological quality of each study was assessed using the STROBE criteria. FINDINGS: Among 2109 retrieved articles, 27 studies (24 cross-sectional and three longitudinal studies) met our inclusion criteria. These studies examined 18 distinct adverse events, with mortality and failure to rescue being the most frequently investigated events. Overall, higher levels of education were associated with lower risks of failure to rescue and mortality in 75% and 61.1% of the reviewed studies pertaining to these adverse events, respectively. Nurse education was inconsistently related to the occurrence of the other events, which were the focus of only a small number of studies. Only one study examined the 80% threshold proposed by the Institute of Medicine and found evidence that it is associated with lower odds of hospital readmission and shorter lengths of stay, but unrelated to mortality. Nurse experience was inconsistently related to adverse event occurrence. CONCLUSION: While evidence suggests that higher nurse education is associated with lower risks of mortality and failure to rescue, longitudinal studies are needed to better ascertain these associations and determine the specific thresholds that minimize risks. Further studies are needed to better document the association of nurse education and experience with other nursing-sensitive adverse events, as well as the benefits to patients and organizations of the Institute of Medicine's recommendation.

Hospital readmissions and the day of the week.

Objectives Patients discharged from hospitals on a Friday (Friday discharges) are readmitted sooner (a shorter time-to-emergency-readmission) than those discharged on any other day of the week. To evaluate the cost-effectiveness of increasing weekend capacity, the effect estimate of Friday discharge on time-to-emergency-readmission needs to be precise. However, precise effect estimation is complicated by the confounding effect of differing healthcare-seeking behaviour and admission practices, and therefore different admission probability, by day of the week. The objective of this research was to examine how differing admission probability by day of the week influences the effect of discharge day on time-to-emergency-readmission. Methods We used a Markov model to determine how day of the week admission probability would theoretically affect the time-to-emergency-readmission for Friday and Wednesday discharges. We tested this in a cohort of patients who have had a history of respiratory illness, using a Cox proportional hazards model to fit the time-to-emergency-readmission to any Quebec hospital as a function of the day of the week of discharge and admission. We fitted another Cox model with an additional time-varying covariate for the current day of the week, to model differing admission probabilities by day of the week. Results Our Markov model showed that if admission probability is lower on the weekends, Friday discharges will be readmitted later (longer time-to-emergency-readmission) than Wednesday discharges. Using hospital admission data, we found that Friday discharges were readmitted slightly earlier than Wednesday discharges (HR: 1.03, 95% CI: (1.02, 1.05)). After adding a time-varying covariate for the current day of the week, the length of time-to-emergency-readmission for a Friday discharge increased, but it was still earlier than a Wednesday discharge (HR: 1.04, 95% CI: (1.01, 1.07)). Conclusions The lower admission probabilities on the weekend confound the effect of Friday discharge on time-to-emergency-readmission by increasing the time-to-emergency-readmission. This confounding effect causes an underestimate of the effect of Friday discharge on time-to-emergency-readmission.

Accuracy and generalizability of using automated methods for identifying adverse events from electronic health record data: a validation study protocol.

BACKGROUND: Adverse events (AEs) in acute care hospitals are frequent and associated with significant morbidity, mortality, and costs. Measuring AEs is necessary for quality improvement and benchmarking purposes, but current detection methods lack in accuracy, efficiency, and generalizability. The growing availability of electronic health records (EHR) and the development of natural language processing techniques for encoding narrative data offer an opportunity to develop potentially better methods. The purpose of this study is to determine the accuracy and generalizability of using automated methods for detecting three high-incidence and high-impact AEs from EHR data: a) hospital-acquired pneumonia, b) ventilator-associated event and, c) central line-associated bloodstream infection. METHODS: This validation study will be conducted among medical, surgical and ICU patients admitted between 2013 and 2016 to the Centre hospitalier universitaire de Sherbrooke (CHUS) and the McGill University Health Centre (MUHC), which has both French and English sites. A random 60% sample of CHUS patients will be used for model development purposes (cohort 1, development set). Using a random sample of these patients, a reference standard assessment of their medical chart will be performed. Multivariate logistic regression and the area under the curve (AUC) will be employed to iteratively develop and optimize three automated AE detection models (i.e., one per AE of interest) using EHR data from the CHUS. These models will then be validated on a random sample of the remaining 40% of CHUS patients (cohort 1, internal validation set) using chart review to assess accuracy. The most accurate models developed and validated at the CHUS will then be applied to EHR data from a random sample of patients admitted to the MUHC French site (cohort 2) and English site (cohort 3)-a critical requirement given the use of narrative data -, and accuracy will be assessed using chart review. Generalizability will be determined by comparing AUCs from cohorts 2 and 3 to those from cohort 1. DISCUSSION: This study will likely produce more accurate and efficient measures of AEs. These measures could be used to assess the incidence rates of AEs, evaluate the success of preventive interventions, or benchmark performance across hospitals.