Development of a survey to support assessment of safety learning systems.

BACKGROUND: Patient safety learning systems play a critical role in supporting safety culture in healthcare organisations. A lack of explicit standards leads to inconsistent implementation across organisations, causing uncertainty about their roles and impact. Organisations can address inconsistent implementation by using a self-assessment tool based on agreed-on best practices. Therefore, we aimed to create a survey instrument to assess an organisation's approach to learning from safety events. METHODS: The foundation for this work was a recent systematic review that defined features associated with the performance of a safety learning system. We organised features into themes and rephrased them into questions (items). Face validity was checked, which included independent pre-testing to ensure comprehensibility and parsimony. It also included clinical sensibility testing in which a representative sample of leaders in quality at a large teaching hospital (The Ottawa Hospital) answered two questions to judge each item for clarity and necessity. If more than 20% of respondents judged a question unclear or unnecessary, we modified or removed that question accordingly. Finally, we checked the internal consistency of the questionnaire using Cronbach's alpha. RESULTS: We initially developed a 47-item questionnaire based on a prior systematic review. Pre-testing resulted in the modification of 15 of the questions, 2 were removed and 2 questions were added to ensure comprehensiveness and relevance. Face validity was assessed through yes/no responses, with over 80% of respondents confirming the clarity and 85% the necessity of each question, leading to the retention of all 47 questions. Data collected from the five-point responses (strongly disagree to strongly agree) for each question were used to assess the questionnaire's internal consistency. The Cronbach's alpha was 0.94, indicating a high internal consistency. CONCLUSION: This self-assessment questionnaire is evidence-based and on preliminary testing is deemed valid, comprehensible and reliable. Future work should assess the range of survey responses in a large sample of respondents from different hospitals.

Development and assessment of an educational intervention to improve the recognition of frailty on an acute care respiratory ward.

BACKGROUND: Frailty is a robust predictor of poor outcomes among patients with chronic obstructive pulmonary disease yet is not measured in routine practice. We determined barriers and facilitators to measuring frailty in a hospital setting, designed and implemented a frailty-focused education intervention, and measured accuracy of frailty screening before and after education. METHODS: We conducted a pilot cross-sectional mixed-methods study on an inpatient respiratory ward over 6 months. We recruited registered nurses (RNs) with experience using the Clinical Frailty Scale (CFS). RNs evaluated 10 clinical vignettes and assigned a frailty score using the CFS. A structured frailty-focused education intervention was delivered to small groups. RNs reassigned frailty scores to vignettes 1 week after education. Outcomes included barriers and facilitators to assessing frailty in hospital, and percent agreement of CFS scores between RNs and a gold standard (determined by geriatricians) before and after education. RESULTS: Among 26 RNs, the median (IQR) duration of experience using the CFS was 1.5 (1-4) months. Barriers to assessing frailty included the lack of clinical directives to measure frailty and large acute workloads. Having collateral history from family members was the strongest perceived facilitator for frailty assessment. The median (IQR) percent agreement with the gold-standard frailty score across all cases was 55.8% (47.2%-60.6%) prior to the educational intervention, and 57.2% (44.1%-70.2%) afterwards. The largest increase in agreement occurred in the 'mildly frail' category, 65.4%-81% agreement. CONCLUSIONS: Barriers to assessing frailty in the hospital setting are external to the measurement tool itself. Accuracy of frailty assessment among acute care RNs was low, and frailty-focused rater training may improve accuracy. Subsequent work should focus on health system approaches to empower health providers to assess frailty, and on testing the effectiveness of frailty-focused education in large real-world settings.

Cost-effectiveness analysis of 3 months of weekly rifapentine and isoniazid compared to isoniazid monotherapy in a Canadian arctic setting.

OBJECTIVE: To assess the cost effectiveness of once weekly rifapentine and isoniazid for 12 weeks (3HP) to the current standard care for latent tuberculosis (TB) infection (LTBI) in Iqaluit, Nunavut. DESIGN: A cost-effectiveness analysis using a Markov model reflecting local practices for LTBI treatment. SETTING: A remote Canadian arctic community with a high incidence of TB. PARTICIPANTS: Hypothetical patients with LTBI. INTERVENTIONS: The cost effectiveness of 3HP was compared with the existing standard of care in the study region which consists of 9 months of twice weekly isoniazid (9H) given by directly observed therapy. OUTCOME MEASURES: Effectiveness was measured in quality-adjusted life years (QALYs) with model parameters were derived from historical programmatic data, a local implementation study of 3HP and published literature. Costs from the perspective of the Nunavut healthcare system were measured in 2019 US dollars and were obtained primarily from local, empirically collected data. Secondary health outcomes included estimated TB cases and TB deaths averted using 3HP versus 9H. One way and probabilistic sensitivity analyses were performed. RESULTS: The 3HP regimen was dominant over 9H: costs were lower (US$628 vs US$924/person) and health outcomes slightly improved (20.14 vs 20.13 QALYs/person). In comparison to 9H, 3HP treatment resulted in fewer TB cases (27.89 vs 30.16/1000 persons) and TB deaths (2.29 vs 2.48/1000 persons). 3HP completion, initiation and risk of fatal adverse events were the primary drivers of cost effectiveness. CONCLUSION: In a remote Canadian arctic setting, using 3HP instead of 9H for LTBI treatment may result in cost savings and similar or improved health outcomes.

Molecular Epidemiology of Mycobacterium tuberculosis To Describe the Transmission Dynamics Among Inuit Residing in Iqaluit Nunavut Using Whole-Genome Sequencing.

BACKGROUND: In the last decade, tuberculosis (TB) incidence among Inuit in the Canadian Arctic has been rising. Our aim was to better understand the transmission dynamics of TB in this remote region of Canada using whole-genome sequencing. METHODS: Isolates from patients who had culture-positive pulmonary TB in Iqaluit, Nunavut, between 2009 and 2015 underwent whole-genome sequencing (WGS). The number of transmission events between cases within clusters was calculated using a threshold of a ≤3 single nucleotide polymorphism (SNP) difference between isolates and then combined with detailed epidemiological data using a reproducible novel algorithm. Social network analysis of epidemiological data was used to support the WGS data analysis. RESULTS: During the study period, 140 Mycobacterium tuberculosis isolates from 135 cases were sequenced. Four clusters were identified, all from Euro-American lineage. One cluster represented 62% of all cases that were sequenced over the entire study period. In this cluster, 2 large chains of transmission were associated with 3 superspreading events in a homeless shelter. One of the superspreading events was linked to a nonsanctioned gambling house that resulted in further transmission. Shelter to nonshelter transmission was also confirmed. An algorithm developed for the determination of transmission events demonstrated very good reproducibility (κ score .98, 95% confidence interval, .97-1.0). CONCLUSIONS: Our study suggests that socioeconomic factors, namely residing in a homeless shelter and spending time in a gambling house, combined with the superspreading event effect may have been significant factors explaining the rise in cases in this predominantly Inuit Arctic community.

Predicting the need for supportive services after discharged from hospital: a systematic review.

BACKGROUND: Some patients admitted to acute care hospital require supportive services after discharge. The objective of our review was to identify models and variables that predict the need for supportive services after discharge from acute care hospital. METHODS: We performed a systematic review searching the MEDLINE, CINAHL, EMBASE, and COCHRANE databases from inception to May 1st 2017. We selected studies that derived and validated a prediction model for the need for supportive services after hospital discharge for patients admitted non-electively to a medical ward. We extracted cohort characteristics, model characteristics and variables screened and included in final predictive models. Risk of bias was assessed using the Quality in Prognostic Studies tool. RESULTS: Our search identified 3362 unique references. Full text review identified 6 models. Models had good discrimination in derivation (c-statistics > 0.75) and validation (c-statistics > 0.70) cohorts. There was high quality evidence that age, impaired physical function, disabilities in performing activities of daily living, absence of an informal care giver and frailty predict the need for supportive services after discharge. Stroke was the only unique diagnosis with at least moderate evidence of an independent effect on the outcome. No models were externally validated, and all were at moderate or higher risk of bias. CONCLUSIONS: Deficits in physical function and activities of daily living, age, absence of an informal care giver and frailty have the strongest evidence as determinants of the need for support services after hospital discharge. TRIAL REGISTRATION: This review was registered with PROSPERO #CRD42016037144.

Early Readmission to Hospital in Patients With Cancer With Malignant Pleural Effusions: Analysis of the Nationwide Readmissions Database.

BACKGROUND: Hospital readmissions are costly to health-care systems and represent a measure of quality care. Patients with cancer with malignant pleural effusions (MPEs) are at high risk for rehospitalization; however, risk factors for readmissions in this population are not well described. Understanding the incidence and risk factors for readmission could facilitate the development of a readmission reduction strategy in this patient population. METHODS: We conducted a retrospective cohort study using the Nationwide Readmissions Database (NRD) (2014 sample) to determine the proportion of all-cause, unplanned, 30-day readmissions to hospital among patients with MPEs. Survey weighting methods that accounted for the NRD sampling design were used to generate nationally representative estimates. We used multivariable logistic regression to determine predictors of early readmission. RESULTS: There were 27,900 unplanned readmissions after 108,824 index hospitalizations for MPEs, a rate of 25.6% (95% CI, 25.0%-26.3%). The mortality rate during readmission to hospital was 17.3% (n = 4,840; 95% CI, 16.6%-18.1%). Mean cost per readmission was $15,452 ± $415, with total aggregate costs of > $400 million. Predictors of early readmission included having Medicaid insurance status, treatment with thoracentesis only, and discharge to a care facility or home health care. CONCLUSIONS: One in four patients with cancer and MPEs are readmitted to hospital within 30 days of discharge, and nearly one in five die during the readmission. Nondefinitive management with thoracentesis led to more readmissions. A further understanding of factors that drive preventable readmissions could significantly improve quality of care in this population.

End-of-life care in individuals with respiratory diseases: a population study comparing the dying experience between those with chronic obstructive pulmonary disease and lung cancer.

Purpose: Among individuals with COPD and/or lung cancer, to describe end-of-life health service utilization, costs, and place of death; to identify predictors of home palliative care use, and to assess benefits associated with palliative care use. Patients and methods: We conducted a retrospective population-based study using provincial linked health administrative data (Ontario, Canada) between 2010 and 2015. We examined health care use in the last 90 days of life in adults 35 years and older with physician-diagnosed COPD and/or lung cancer identified using a validated algorithm and the Ontario Cancer Registry, respectively. Four mutually exclusive groups were considered: (i) COPD only, (ii) lung cancer only, (iii) COPD and lung cancer, and (iv) neither COPD nor lung cancer. Multivariable generalized linear models were employed. Results: Of 445,488 eligible deaths, 34% had COPD only, 4% had lung cancer only, 5% had both and 57% had neither. Individuals with COPD only received less palliative care (20% vs 57%) than those with lung cancer only. After adjustment, people with lung cancer only were far more likely to receive palliative care (OR=4.22, 4.08-4.37) compared to those with neither diagnosis, while individuals with COPD only were less likely to receive palliative care (OR=0.82, 0.81-0.84). Home palliative care use was associated with reduced death and fewer days in acute care, and less cost, regardless of the diagnosis. Conclusion: Although individuals with lung cancer were much more likely to receive palliative care than those with COPD, both populations were underserviced. Results suggest greater involvement of palliative care may improve the dying experience of these populations and reduce costs.

Factors contributing to high-cost hospital care for patients with COPD.

Chronic obstructive pulmonary disease (COPD) is a leading cause of hospital admission, the fifth leading cause of death in North America, and is estimated to cost $49 billion annually in North America by 2020. The majority of COPD care costs are attributed to hospitalizations; yet, there are limited data to understand the drivers of high costs among hospitalized patients with COPD. In this study, we aimed to determine the patient and hospital-level factors associated with high-cost hospital care, in order to identify potential targets for the reorganization and planning of health services. We conducted a retrospective cohort study at a Canadian academic hospital between September 2010 and 2014, including adult patients with a first-time admission for COPD exacerbation. We calculated total costs, ranked patients by cost quintiles, and collected data on patient characteristics and health service utilization. We used multivariable regression to determine factors associated with highest hospital costs. Among 1,894 patients included in the study, the mean age was 73±12.6 years, median length of stay was 5 (interquartile range 3-9) days, mortality rate was 7.8% (n=147), and 9% (n=170) required intensive care. Hospital spending totaled $19.8 million, with 63% ($12.5 million) spent on 20% of patients. Factors associated with highest costs for COPD care included intensive care unit admission (odds ratio [OR] 32.4; 95% confidence interval [CI] 20.3, 51.7), death in hospital (OR 2.6; 95% CI 1.3, 5.2), discharge to long-term care facility (OR 5.7; 95% CI 3.5, 9.2), and use of the alternate level of care designation during hospitalization (OR 23.5; 95% CI 14.1, 39.2). High hospital costs are driven by two distinct groups: patients who require acute medical treatment for severe illness and patients with functional limitation who require assisted living facilities upon discharge. Improving quality of care and reducing cost in this high-needs population require a strong focus on early recognition and management of functional impairment for patients living with chronic disease.

Risk assessment tools to predict location of discharge and need for supportive services for medical patients after discharge from hospital: a systematic review protocol.

BACKGROUND: Patients who are discharged from hospital after an acute medical illness often have impaired function that prevents them from returning to their previous place of residence. Assessing each patient's post-discharge needs takes time and resources but is important in order to reduce unplanned readmissions and adverse events post-discharge. METHODS/DESIGN: We will conduct a systematic review to synthesize the evidence on prognostic models and their reported accuracy in predicting the location of discharge after a medical admission to an acute care hospital. We will perform searches in MEDLINE, EMBASE, CINAHL, and COCHRANE databases. Pre-defined study, population, and model characteristics will be reported. We will write a narrative summary of included studies. Methodological quality of the studies will be assessed using the QUIPS tool, and the quality of evidence will be evaluated using the GRADE tool. DISCUSSION: Early and accurate assessment of patient needs for supportive services after discharge has the potential to improve patient outcomes and health system efficiency. This systematic review will identify factors that can accurately predict location of discharge using existing tools and identify priority knowledge gaps to inform future research. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42016037144.

Clinical characteristics and preventable acute care spending among a high cost inpatient population.

BACKGROUND: A small proportion of patients account for the majority of health care spending. The objectives of this study were to explore the clinical characteristics, patterns of health care use, and the proportion of acute care spending deemed potentially preventable among high cost inpatients within a Canadian acute-care hospital. METHODS: We identified all individuals within the Ottawa Hospital with one or more inpatient hospitalization between April 1, 2010 and March 31, 2011. Clinical characteristics and frequency of hospital encounters were captured in the information systems of the Ottawa Hospital Data Warehouse. Direct inpatient costs for each encounter were summed using case costing information and those in the upper first and fifth percentiles of the cumulative direct cost distribution were defined as extremely high cost and high cost respectively. We quantified preventable acute care spending as hospitalizations for ambulatory care sensitive conditions (ACSC) and spending attributable to difficulty discharging patients as measured by alternate level of care (ALC) status. RESULTS: During the study period, 36,892 patients had 44,066 hospitalizations. High cost patients (n = 1,844) accounted for 38 % of total inpatient spending ($122 million) and were older, more likely to be male, and had higher levels of co-morbidity compared to non-high cost patients. In over half of the high cost cohort (54 %), costs were accumulated from a single hospitalization. The majority of costs were related to nursing care and intensive care unit spending. High cost patients were more likely to have an encounter deemed to be ambulatory care sensitive compared to non-high cost inpatients (6.0 versus 2.8 %, p < 0.001). A greater proportion of inpatient spending was attributable to ALC days for high cost versus non-high cost patients (9.1 versus 4.9 %, p < 0.001). CONCLUSIONS: Within a population of high cost inpatients, the majority of costs are attributed to a single, non-preventable, acute care episode. However, there are likely opportunities to improve hospital efficiency by focusing on different approaches to community based care directed towards specific populations.

Variations in Resource Intensity and Cost Among High Users of the Emergency Department.

OBJECTIVES: High users of emergency department (ED) services are often identified by number of visits per year, with little exploration of the distribution/pattern of visits over time. The purpose of this study was to examine patient- and encounter-level factors and costs related to periods of short-term resource intensity among high users of the ED within a tertiary care teaching facility. METHODS: We identified all adults with at least three visits to the Ottawa Hospital ED within a 1-year period from April 1, 2012, to March 31, 2013. Within this high-user cohort, we then measured intensity of use by calculating average daily visit rates to identify individuals with a cluster of ED visits. Those with at least three ED visits/7 days at any point during follow-up were considered patients with clustered ED use (i.e., a period of short-term resource intensity). Detailed clinical and administrative data were used to compare patient- and encounter-level characteristics and cost profiles between the clustered and nonclustered groups. Analyses were repeated using varying cut points to define high users (at least five and at least eight visits per year). RESULTS: Of the 16,153 patients identified as high ED users during the study period, 13.5% had their visits clustered within a short period of time. These clustered users were more likely to be homeless, to require psychiatric services, and to leave without being seen by a physician and less likely to be admitted to the hospital. Approximately one in three (31.2%) high ED users with clustered visits returned for the same medical problem (namely pain-related disorders, shortness of breath, and cellulitis) within a 1-week period. Similar trends were observed when the high-user cohort was restricted to those with at least five and at least eight ED visits/year. Finally, patients with short-term intensity periods had lower direct and indirect costs per encounter than those without. CONCLUSIONS: Using a novel methodology that accounts for both number and intensity of ED encounters over time, we were able to identify specific subpopulations of high ED users. Further work is required to determine if this methodology has utility for targeting care pathways within this heterogeneous and high-risk patient group.

Patterns of health care use in a high-cost inpatient population in Ottawa, Ontario: a retrospective observational study.

BACKGROUND: A small proportion of patients account for the majority of health care spending. We used detailed clinical and administrative data to explore clinical characteristics, patterns of health care use and changes in cost profiles over time among high-cost inpatients in an acute tertiary care hospital in Ottawa, Ontario. METHODS: We identified all people who had 1 or more inpatient admissions to The Ottawa Hospital between Apr. 1, 2009, and Mar. 31, 2012. We calculated the direct inpatient costs using case-costing information to categorize patients into persistently high-cost, episodic high-cost and non-high-cost groups. Within each group, we used discharge abstracts to measure encounter-level characteristics and patterns of inpatient health care use over time. We also developed transition matrices to explore how inpatient costing states changed over time. RESULTS: During the study period, 100 178 patients had 132 996 hospital admissions. Hospital spending was often limited to a single year for most of the patients (90.2%), with only a small proportion (7.4%) of patients remaining in the high-cost group in the subsequent year. Patients in the persistently (n = 236) and episodic (n = 5062) high-cost groups were often older, had medically complex conditions and generated most of the costs from nursing care and intensive care. Compared with patients in the other cost groups, those in the persistently high-cost group were more likely to have multiple readmissions (43.4%) and multiple placements in an alternate level of care (19.0%) and were high users of health care services outside of the hospital setting. INTERPRETATION: Hospital spending was often limited to a single year for most patients, and only a small proportion of patients remained in the high-cost group in the subsequent year. These persistently high-cost patients had medically complex conditions and often required expensive care. A greater understanding of the circumstances that result in persistent hospital spending remains an area for future work, including an exploration of the potential barriers impeding efficient transition out of acute care for high-risk patients.