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Background Chronic obstructive pulmonary disease (COPD) medications reduce exacerbations and improve quality of life. Despite this, some individuals do not receive medications recommended by practise guidelines. Research question How common is non-receipt of recommended medications among people with COPD and what are factors associated with non-receipt? Study design and methods We conducted a population cohort study in Ontario, Canada, a province with universal health care insurance and medication coverage for those aged 65 and older. Health administrative data were used to identify people 66 years of age or older with physician-diagnosed COPD as of 2018 and group them into lower or higher risk for future COPD exacerbation groups. Proportions of patients in each group who did not receive medications recommended by COPD guidelines were determined. Generalized estimating equation modelling was used to determine associations between patient and physician factors and non-receipt of recommended medications. Results About 54% and 88% of people with COPD receoved sufficient recommended medications in the low and high risk of exacerbation groups, respectively. Longer duration of COPD, higher comorbidity, dementia, and older physician age were associated with non-receipt of recommended medications in both groups. People who had a co-diagnosis of asthma and who received care by a pulmonologist and spirometry were more likely to receive recommended medication . Interpretation COPD medications appear underused by the COPD population and various factors are associated with sub-optimal receipt. Targeting these factors would help improve the care and health of people with COPD.

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With regionalization of care, patients often undergo treatment in institutions other than where the initial investigation is conducted. This study assessed the impact of a shared diagnostic imaging repository (SDIR) on processes of care and outcomes in hepato-pancreatico-biliary (HPB) cancer surgery.Provincial administrative datasets were linked to study HPB cancer patients operated at a regional cancer centre (2003-2014). SDIR and non-SDIR groups were based on where initial imaging (CT or MRI) was conducted. Outcomes were repeat imaging before surgery and wait times for surgery from initial imaging and surgical consultation.Of 839 patients, 474 were from SDIR institutions. Fewer SDIR patients underwent any repeat imaging (55.9% vs. 75.3%; p 0.01) and repeat imaging with same modality and protocol (24.7% vs. 43.0%; p 0.01). Median wait time to surgery from initial imaging (64 Vs. 79 days; p 0.01) and surgical consultation (39 Vs. 45 days; p = 0.046) was shorter with SDIR. SDIR patients had lower adjusted odds of any repeat imaging (OR 0.20 [0.14-0.30]), and repeat imaging with same modality and protocol (OR 0.58 [0.41-0.80]).Radiology sharing with SDIR reduced repeat imaging for HPB cancer surgery, including potentially redundant repeat imaging with same protocol, and shortened wait time to surgical care.

Background To better understand the profile of individuals with severe coronavirus disease 2019 (COVID-19), we characterised individuals hospitalised with COVID-19 and compared them to individuals previously hospitalised with influenza. Methods We report the characteristics (demographics, prior conditions and medication use) of patients hospitalised with COVID-19 between December 2019 and April 2020 in the US (Columbia University Irving Medical Center [CUIMC], STAnford Medicine Research data Repository [STARR-OMOP], and the Department of Veterans Affairs [VA OMOP]) and Health Insurance Review & Assessment [HIRA] of South Korea. Patients hospitalised with COVID-19 were compared with patients previously hospitalised with influenza in 2014–19. Results 6,806 (US: 1,634, South Korea: 5,172) individuals hospitalised with COVID-19 were included. Patients in the US were majority male (VA OMOP: 94%, STARR-OMOP: 57%, CUIMC: 52%), but were majority female in HIRA (56%). Age profiles varied across data sources. Prevalence of asthma ranged from 7% to 14%, diabetes from 18% to 43%, and hypertensive disorder from 22% to 70% across data sources, while between 9% and 39% were taking drugs acting on the renin-angiotensin system in the 30 days prior to their hospitalisation. Compared to 52,422 individuals hospitalised with influenza, patients admitted with COVID-19 were more likely male, younger, and, in the US, had fewer comorbidities and lower medication use. Conclusions Rates of comorbidities and medication use are high among individuals hospitalised with COVID-19. However, COVID-19 patients are more likely to be male and appear to be younger and, in the US, generally healthier than those typically admitted with influenza.

Objectives Childhood immunization coverage rates are known to be disproportionate according to population’s socioeconomic status (SES). This systematic review examined and appraised quality of interventions deemed effective to increase routine childhood immunization uptake in low SES populations in developed countries. Methods A literature search was conducted using Medline, Embase, CINAHL, EBMR, PsycInfo, PubMed, and Health STAR. We systematically searched and critically appraised articles published between January 1990 and December 2019 using the Effective Public Health Practice Project Quality Assessment tool. This systematic review provides a synthesis of the available evidence for childhood immunization interventions deemed effective for low SES parents or families of children ≤ 5 years of age. Synthesis The search yielded 3317 records, of which 2975 studies met the inclusion criteria. From the 100 relevant studies, a total of 40 were included. The majority of effective and strongly rated studies synthesized consisted of multi-component interventions. Such interventions addressed access, community-based mobilization, outreach, appointment reminders, education, clinical tracking and incentives, and were language and health literacy appropriate to support low SES parents. Improving access to low SES parents was deemed effective in the vast majority of strongly rated studies. Incorrect contact information of low SES parents due to increased social mobility (i.e. household moves) rendered reminders ineffective, and therefore, updating contact information should be pursued proactively by front-line healthcare providers. In addition, plain language communication with low SES parents regarding immunization was deemed effective in improving immunization uptake. Conclusion Comprehensive multi-component interventions including improved access, appointment reminders, education and precision health communication are effective for addressing health inequities in immunization coverage amongst marginalized populations. Most low SES parents still believe that the benefits of immunization outweigh the risks.

Comorbid conditions appear to be common among individuals hospitalised with coronavirus disease 2019 (COVID-19) but estimates of prevalence vary and little is known about the prior medication use of patients. Here, we describe the characteristics of adults hospitalised with COVID-19 and compare them with influenza patients. We include 34,128 (US: 8362, South Korea: 7341, Spain: 18,425) COVID-19 patients, summarising between 4811 and 11,643 unique aggregate characteristics. COVID-19 patients have been majority male in the US and Spain, but predominantly female in South Korea. Age profiles vary across data sources. Compared to 84,585 individuals hospitalised with influenza in 2014-19, COVID-19 patients have more typically been male, younger, and with fewer comorbidities and lower medication use. While protecting groups vulnerable to influenza is likely a useful starting point in the response to COVID-19, strategies will likely need to be broadened to reflect the particular characteristics of individuals being hospitalised with COVID-19., Detailed knowledge of the characteristics of COVID-19 patients helps with public health planning. Here, the authors use routinely-collected data from seven databases in three countries to describe the characteristics of >30,000 patients admitted with COVID-19 and compare them with those admitted for influenza in previous years.

Importance COVID-19 is causing high mortality worldwide. Developing models to quantify the risk of poor outcomes in infected patients could help develop strategies to shield the most vulnerable during de-confinement. Objective To develop and externally validate COVID-19 Estimated Risk (COVER) scores that quantify a patient9s risk of hospital admission (COVER-H), requiring intensive services (COVER-I), or fatality (COVER-F) in the 30-days following COVID-19 diagnosis. Design Multinational, distributed network cohorts. Setting We analyzed a federated network of electronic medical records and administrative claims data from 13 data sources and 6 countries, mapped to a common data model. Participants Model development used a patient population consisting of >2 million patients with a general practice (GP), emergency room (ER), or outpatient (OP) visit with diagnosed influenza or flu-like symptoms any time prior to 2020. The model was validated on patients with a GP, ER, or OP visit in 2020 with a confirmed or suspected COVID-19 diagnosis across four databases from South Korea, Spain and the United States. Outcomes Age, sex, historical conditions, and drug use prior to index date were considered as candidate predictors. Outcomes included i) hospitalization with pneumonia, ii) hospitalization with pneumonia requiring intensive services or death, and iii) death in the 30 days after index date. Results Overall, 43,061 COVID-19 patients were included for model validation, after initial model development and validation using 6,869,127 patients with influenza or flu-like symptoms. We identified 7 predictors (history of cancer, chronic obstructive pulmonary disease, diabetes, heart disease, hypertension, hyperlipidemia, and kidney disease) which combined with age and sex could discriminate which patients would experience any of our three outcomes. The models achieved high performance in influenza. When transported to COVID-19 cohorts, the AUC ranges were, COVER-H: 0.73-0.81, COVER-I: 0.73-0.91, and COVER-F: 0.82-0.90. Calibration was overall acceptable, with overestimated risk in the most elderly and highest risk strata. Conclusions and relevance A 9-predictor model performs well for COVID-19 patients for predicting hospitalization, intensive services and death. The models could aid in providing reassurance for low risk patients and shield high risk patients from COVID-19 during de-confinement to reduce the virus9 impact on morbidity and mortality.

Objectives To examine dose‐related prescribing and short‐term serious events associated with initiation of cholinesterase inhibitor (ChEI) therapy. Design Retrospective, population‐based cohort study. Setting Ontario, Canada. Participants Women (n=47,829) and men (n=32,503) aged 66 and older who initiated a ChEI between April 1, 2010, and June 30, 2016. Measurements All‐cause serious events (emergency department (ED) visits, inpatient hospitalizations, death) within 30 days of ChEI initiation. Multivariable Cox proportional hazards models were used to estimate adjusted rates of serious events. Results Overall, 4.8% of older adults were dispensed a lower‐than‐recommended ChEI starting dose, 87.9% a recommended dose, and 7.3% a higher‐than‐recommended starting dose. Eight thousand six hundred seventy‐one (10.8%) individuals experienced a serious event within 30 days of initiating therapy, primarily ED visits (8,540, 10.6%). Relative to those initiated on a recommended starting dose, those initiated on a higher dose had a significantly increased rate of serious events (women adjusted hazard ratio (aHR) 1.50, 95% confidence interval (CI) =1.38–1.63; men aHR 1.31, 95% CI=1.19–1.45). Similar patterns were found for ED visits and inpatient hospitalizations but not death. The relative effect of higher‐than‐recommended starting dose dispensed vs. recommended starting dose dispensed was greater in women than it was in men: the number needed to harm was 22 (95% confidence interval (CI)=18–29) for women and 36 (95% CI= 26–61) for men. Conclusion Serious events immediately after initiation of ChEIs were associated with starting ChEI dose. This association was stronger in women.

Cholinesterase inhibitors (ChEIs) are one of only two drug therapies available to manage cognitive decline in dementia. Given sex-specific differences in medication access and effects, it is important to understand how ChEIs are used by women and men. The objective of this study was to provide contemporary sex-stratified evidence on patterns of ChEI use by community-dwelling older adults with dementia to inform opportunities to optimize drug prescribing. We conducted a population-based cross-sectional study examining ChEI use in older adults with dementia in Ontario, Canada. We identified all community-dwelling individuals aged 66 years and older with a pre-existing diagnosis of dementia as of 1 April, 2016. We examined the prevalence of ChEI use among women and men separately, and explored the association between ChEI use and age, sex, income status, geographic location of residence, use of palliative care services, comorbidity, and polypharmacy. Concurrent use of drugs known to impair cognition (including antipsychotics, benzodiazepines, and medications with strong anticholinergic properties) was separately assessed among women and men using multivariable analyses and prevalence risk ratios. Of 74,799 women and 52,231 men living with dementia in the community, nearly 30% currently were using a ChEI (29.3% women, 28.6% men). Close to 70% of users were receiving the target therapeutic dose. Compared to men, women were less often taking the target therapeutic dose (67.8% women vs. 71.6% men, p < 0.001). Over 20% of users also were using drugs known to impair cognition, while being treated for cognitive decline using ChEIs. Compared to men, women were more often concurrently using drugs known to impair cognition (23.9% women vs. 21.8% men, p < 0.001). This is one of the first studies of ChEI use to account for important sex differences. The results remind clinicians and researchers that patterns of ChEI therapy use differ by sex, as women were less likely to receive target therapeutic doses and more vulnerable to potentially problematic polypharmacy than men.

Research demonstrates that prediabetes awareness has important implications for participation in diabetes risk-reducing behaviors. We examined the impact of levels of access to health services on prediabetes awareness. In 2016, we conducted an analysis among U.S. adults with prediabetes using cross-sectional data from three cycles (2007-2008, 2009-2010, and 2011-2012) of the National Health and Nutrition Examination Survey. Participants aware and unaware of their prediabetes were classified as having full, partial, or no access to health services based on current health insurance coverage and having a routine place to go for health care. Multivariable logistic regression was used to estimate the association between access to health services and prediabetes awareness. Among a total sample of 2999U.S. adults with prediabetes, an estimated 92.0% were unaware of their prediabetes status. Participants that were unaware of their prediabetes tended to be younger, male, and were less likely to be obese or have a family history of diabetes. Having no access to health services significantly increased the odds of being prediabetes unaware (AOR: 2.65; 95% CI: 1.10-6.38). However, participants with insurance but no place of regular care had the greatest odds of being prediabetes unaware (AOR: 3.21; 95% CI: 1.21-8.55). These findings suggest that access to health services is a key factor for prediabetes awareness. Health policies and interventions should strive to ensure equitable access to health services in order to detect prediabetes, and promote awareness and engagement in risk-reducing behaviors to decrease the incidence of diabetes.

Workplace health programs (WHPs) have been shown to improve employee health behaviours and outcomes, increase productivity, and decrease work-related costs over time. Nonetheless, organizational characteristics, including size, prevent certain workplaces from implementing these programs. Past research has examined the differences between small and large organizations. However, these studies have typically used a cut-off better suited to large countries such as the USA. Generalizing such studies to countries that differ based on population size, scale of economies, and health systems is problematic. We investigated differences in WHP knowledge, attitudes, and practices between organizations with under 20 employees, 20&ndash, 99 employees, and more than 100 employees. In 2017&ndash, 2018, a random sample of employers from 528 workplaces in Alberta, Canada, were contacted for participation in a cross-sectional survey. Latent Class Analysis (LCA) was used to identify underlying response pattern and to group clusters of similar responses to categorical variables focused on WHP knowledge, attitudes, practices and likelihood of action. Compared to large organizations, organizations with fewer than 20 employees were more likely to be members of the Medium&ndash, Low Knowledge of WHP latent class (p = 0.01), the Low Practices for WHP latent class (p &lt, 0.001), and more likely to be members of Low Likelihood of Action in place latent class (p = 0.033). While the majority of workplaces, regardless of size, recognized the importance and benefits of workplace health, capacity challenges limited small employers&rsquo, ability to plan and implement WHP programs. The differences in capacity to implement WHP in small organizations are masked in the absence of a meaningful cut-off that reflects the legal and demographic reality of the region of study.

Objectives High-cost users (HCUs) are known to disproportionally incur the majority of healthcare utilization costs relative to their counterparts. A number of studies have highlighted the detrimental effects of risky health behaviours; however, only a few have demonstrated the link to HCUs, a meaningful endpoint for program and policy decision-makers. We investigated the association between health behaviour risks and downstream high-cost healthcare utilization. Methods A combined cohort of participants from the Canadian Community Health Survey (CCHS) cycles 2005–2009 was linked to future population-based health administrative data in Ontario. Using person-centered costing methodology, CCHS respondents were ranked according to healthcare utilization costs and categorized as ever having HCU status in the 4 years following interview. Logistic regression models were used to estimate the association between various health behaviours on future HCU status. Results Models estimated that smoking and physical inactivity were associated with a significant increase in the odds of becoming an HCU. Compared to individual behaviours, increasing the number of health behaviour risks significantly strengthened the odds of becoming an HCU in subsequent years. Conclusion The analyses provide evidence that upstream health behaviours affect high-cost healthcare utilization. Health behaviours are a meaningful target for health promotion programs and policies. These findings can inform decision-makers on appropriate behavioural targets for those on an HCU trajectory and promote public health efforts to support healthcare system sustainability.