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.

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.

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.

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.

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.

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.

Automated Extraction of VTE Events From Narrative Radiology Reports in Electronic Health Records: A Validation Study.

BACKGROUND: Surveillance of venous thromboembolisms (VTEs) is necessary for improving patient safety in acute care hospitals, but current detection methods are inaccurate and inefficient. With the growing availability of clinical narratives in an electronic format, automated surveillance using natural language processing (NLP) techniques may represent a better method. OBJECTIVE: We assessed the accuracy of using symbolic NLP for identifying the 2 clinical manifestations of VTE, deep vein thrombosis (DVT) and pulmonary embolism (PE), from narrative radiology reports. METHODS: A random sample of 4000 narrative reports was selected among imaging studies that could diagnose DVT or PE, and that were performed between 2008 and 2012 in a university health network of 5 adult-care hospitals in Montreal (Canada). The reports were coded by clinical experts to identify positive and negative cases of DVT and PE, which served as the reference standard. Using data from the largest hospital (n=2788), 2 symbolic NLP classifiers were trained; one for DVT, the other for PE. The accuracy of these classifiers was tested on data from the other 4 hospitals (n=1212). RESULTS: On manual review, 663 DVT-positive and 272 PE-positive reports were identified. In the testing dataset, the DVT classifier achieved 94% sensitivity (95% CI, 88%-97%), 96% specificity (95% CI, 94%-97%), and 73% positive predictive value (95% CI, 65%-80%), whereas the PE classifier achieved 94% sensitivity (95% CI, 89%-97%), 96% specificity (95% CI, 95%-97%), and 80% positive predictive value (95% CI, 73%-85%). CONCLUSIONS: Symbolic NLP can accurately identify VTEs from narrative radiology reports. This method could facilitate VTE surveillance and the evaluation of preventive measures.

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.

Rationing of nursing care interventions and its association with nurse-reported outcomes in the neonatal intensive care unit: a cross-sectional survey.

BACKGROUND: Evidence internationally suggests that staffing constraints and non-supportive work environments result in the rationing of nursing interventions (that is, limiting or omitting interventions for particular patients), which in turn may influence patient outcomes. In the neonatal intensive care unit (NICU), preliminary studies have found that discharge preparation and infant comfort care are among the most frequently rationed nursing interventions. However, it is unknown if the rationing of discharge preparation is related to lower perceptions of parent and infant readiness for NICU discharge, and if reports of increased rationing of infant comfort care are related to lower levels of perceived neonatal pain control. The purpose of this study was to assess these relationships. METHODS: In late 2014, a cross-sectional survey was mailed to 285 Registered Nurses (RNs) working in one of 7 NICUs in the province of Quebec (Canada). The survey contained validated measures of care rationing, parent and infant readiness for discharge, and pain control, as well as items measuring RNs' characteristics. Multivariate regression was used to examine the association between care rationing, readiness for discharge and pain control, while adjusting for RNs' characteristics and clustering within NICUs. RESULTS: Overall, 125 RNs completed the survey; a 44.0 % response rate. Among the respondents, 28.0 and 40.0 % reported rationing discharge preparation and infant comfort care "often" or "very often", respectively. Additionally, 15.2 % of respondents felt parents and infants were underprepared for NICU discharge, and 54.4 % felt that pain was not well managed on their unit. In multivariate analyses, the rationing of discharge preparation was negatively related to RNs' perceptions of parent and infant readiness for discharge, while reports of rationing of parental support and teaching and infant comfort care were associated with less favourable perceptions of neonatal pain control. CONCLUSIONS: The rationing of nursing interventions appears to influence parent and infant readiness for discharge, as well as pain control in NICUs. Future investigations, in neonatal nursing care as well as in other nursing specialties, should address objectively measured patient outcomes (such as objective pain assessments and post-discharge outcomes assessed through administrative data).

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.

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.

What differentiates primary care physicians who predominantly prescribe diuretics for treating mild to moderate hypertension from those who do not? A comparative qualitative study.

BACKGROUND: Thiazide diuretics are cost-effective for the treatment of mild to moderate hypertension, but physicians often opt for more expensive treatment options such as angiotensin II receptor blockers or angiotensin converting enzyme inhibitors. With escalating health care costs, there is a need to elucidate the factors influencing physicians' treatment choices for this highly prevalent chronic condition. The purpose of this study was to describe the characteristics of physicians' decision-making process regarding hypertension treatment choices. METHODS: A comparative qualitative study was conducted in 2009 in the Canadian province of Quebec. Overall, 29 primary care physicians--who are also participating in an electronic health record research program--participated in a semi-structured interview about their prescribing decisions. Physicians were categorized into two groups based on their patterns of prescribing antihypertensive drugs: physicians who predominantly prescribe diuretics, and physicians who predominantly prescribe drug classes other than diuretics. Cases of hypertension that were newly started on antihypertensive therapy were purposely selected from each physician's electronic health record database. Chart stimulated recall interview, a technique utilizing patient charts to probe recall and provide context to physician decision-making during clinical encounters, was used to elucidate reasons for treatment choices. Interview transcripts were synthesized using content analysis techniques, and factors influencing physicians' decision making were inductively generated from the data. RESULTS: We identified three themes that differentiated physicians who predominantly prescribe diuretics from those who predominantly prescribe other drug classes for the initial treatment of mild to moderate hypertension: a) perceptions about the efficacy of diuretics, b) preferred approach to hypertension management and, c) perceptions about hypertension guidelines. Specifically, physicians had differences in beliefs about the efficacy, safety and tolerability of diuretics, the most effective approach for managing mild to moderate hypertension, and in aggressiveness to achieve treatment targets. Marketing strategies employed by the pharmaceutical industry and practice experience appear to contribute to these differences in management approach. CONCLUSIONS: Physicians preferring more expensive treatment options appear to have several misperceptions about the efficacy, safety and tolerability of diuretics. Efforts to increase physicians' prescribing of diuretics may need to be directed at overcoming these misperceptions.

Patient and nurse staffing characteristics associated with high sitter use costs.

AIM: This paper is a report of a study of the relationships between patient health conditions, nurse staffing characteristics and high sitter use costs. BACKGROUND: Increasing recourse to patient sitters is a major cost concern to hospitals. To reduce these expenses, we need to understand better the factors associated with high sitter use costs. METHODS: From a cohort of 43,212 medical/surgical patients admitted to an academic health centre in Montreal (Canada) in 2007 and 2008, all 1151 patients who received a sitter were selected. We applied multivariate logistic regression, using the Generalized Estimating Equation framework, to estimate the relationships between patient health conditions, nurse staffing characteristics and being in the upper two quintiles of sitter costs, vs. the lower three. RESULTS: The median sitter cost per patient, in Canadian dollars, was $772·35 (IQR = $1737·84); and $2397·00 (IQR = $3085·03) among the patients with high sitter use costs. In multivariate analyses, dementia, delirium and other cognitive impairments (OR = 1·49; 95% CI = 1·01-2·22) and schizophrenia and other psychoses (OR = 2·42; 95% CI = 1·08-5·76) increased the likelihood of high sitter use costs. In addition, every additional worked hour per patient per day by Registered Nurses (OR =0·33; 95% CI = 0·27-0·39) and by patient care assistants (OR = 0·11; 95% CI = 0·08-0·15) reduced the likelihood of high sitter use costs. Conclusion. Circumstances of understaffing and patients having psycho-geriatric conditions are associated with high sitter use costs. Improving staffing and providing additional resources to support the care of psycho-geriatric patients may lower these expenses.

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.

Registered nurses' job demands in relation to sitter use: nested case-control study.

BACKGROUND: Increases in overtime and absenteeism among registered nurses (RNs), in conjunction with a workforce having less experience, have resulted in high RN job demands. At the same time, there has been an increase in hospitals' use of patient sitters (i.e., unskilled attendants), but it is not known if these two changes are correlated. OBJECTIVE: The aim of this study was to determine if indicators of RN job demands, specifically overtime, absenteeism, and experience, are related to greater sitter use. METHOD: A nested case-control study design was used. All patients who were assigned a sitter (cases) were selected from a cohort of 43,212 medical and surgical patients who had been admitted to an academic health center in Montreal (Canada) in 2007 and 2008. For each case (n = 1,179), up to four controls (n = 4,167) were selected randomly among patients who did not receive a sitter. Multivariate logistic regression, within a generalized estimating equation framework, was used to assess the association between RN job demand indicators and sitter use, while controlling for other risk factors for sitter use. RESULTS: Compared with controls, patients who were assigned sitters had been subject to high rates of RN overtime and absenteeism and lower RN cumulative experience in the period prior to sitter use. Each additional hour of RN overtime increased the likelihood of sitter use by 108% (odds ratio = 2.08, 95% confidence interval = 1.32-3.29). Every 5 years of collective RN experience reduced the odds of sitter use by 23% (odds ratio = 0.77, 95% confidence interval = 0.66-0.89). Absenteeism was not associated with sitter use. DISCUSSION: High RN overtime and collective inexperience are associated with greater sitter use. A possible explanation is that sitters are used to palliate failures to meet high job demands. Further research is required to assess the impact of sitter use on patient outcomes.

Forcing the system: a configuration analysis of a regionalized neonatal-perinatal health network.

BACKGROUND: : Health care transformations often involve the development of networks to ensure smooth and safe patient flows throughout the care continuum. However, more empirical information is needed on the workings of health networks and on how their structures, processes, and systems influence access to high-quality patient care. PURPOSE: : Using Miller's concept of configuration, we describe the workings of a health network specialized in the provision of neonatal-perinatal care, a specialty where accessibility issues are quite problematic. We aimed to generate evidence that will assist policy makers, network managers, and clinicians in facilitating access to high-quality neonatal-perinatal care. METHODOLOGY/APPROACH: : From late 2007 to early 2008, we conducted a case study of all (N = 7) neonatal intensive care units (NICUs) in the province of Quebec (Canada). We performed field work into two purposefully selected NICUs. This involved 450 hours of nonparticipant observation and 56 semistructured interviews with various actors. Data from these sources were triangulated with data collected during informal interviews with key actors from the other five NICUs in the province and from administrative databases. FINDINGS: : We found that the elements of this health network are pulled together by a core orchestrating theme: "Forcing the system." Indeed, in attempting to fulfill the network mission of providing access to high-quality neonatal-perinatal care, clinicians and managers must implement various strategies to compensate for the misfit of the configuration. Although these strategies are successful in providing access to neonatal-perinatal care, they, however, have adverse effects that are paradoxically in contradiction with the network's core mission. PRACTICE IMPLICATIONS: : This configuration analysis enabled us to identify a set of modifiable elements that contribute to the misfit of the configuration and its suboptimal functioning. The comprehensiveness of the configuration approach was proven useful for the analysis of such a complex organizational form.