Identifying predictors of cognitive decline in long-term care: a scoping review.

BACKGROUND: Cognitive impairment can cause social, emotional, and financial burdens on individuals, caregivers, and healthcare providers. This is especially important in settings such as long-term care (LTC) homes which largely consist of vulnerable older adults. Thus, the objective of this study is to review and summarize current research examining risk factors of cognitive decline in older adults within LTC. METHODS: This scoping review includes primary observational research studies assessing within-person change in cognition over time in LTC or equivalent settings in high resource countries. A mean participant age of ≥ 65 years was required. Searches were conducted in Medline, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and PyscInfo on June 27th, 2022 and included articles published during or after the year 2000. Title, abstract, and full-text screening was performed by two independent reviewers using Covidence. Specific predictors along with their associated relation with cognitive decline were extracted by a team of reviewers into a spreadsheet. RESULTS: Thirty-eight studies were included in this review. The mean sample size was 14 620. Eighty-seven unique predictors were examined in relation to cognitive decline. Dementia was the most studied predictor (examined by 9 of 38 studies), and the most conclusive, with eight of those studies identifying it as a risk factor for cognitive decline. Other predictors that were identified as risk factors included arterial stiffness (identified by 2 of 2 studies), physical frailty (2 of 2 studies), sub-syndromal delirium (2 of 2 studies), and undergoing the first wave of COVID-19 lockdowns (2 of 2 studies). ADL independence was the most conclusive protective factor (3 of 4 studies), followed by social engagement (2 of 3 studies). Many remaining predictors showed no association and/or conflicting results. CONCLUSIONS: Dementia was the most common risk factor, while ADL independence was the most common protective factor associated with cognitive decline in LTC residents. This information can be used to stratify residents by risk severity and provide better personalized care for older adults through the targeted management of cognitive decline.

Continuity of care for older adults in a Canadian long-term care setting: a qualitative study.

BACKGROUND: Continuity of care has been shown to improve health outcomes and increase patient satisfaction. Goal-oriented care, a person-centered approach to care, has the potential to positively impact continuity of care. This study sought to examine how a goal-oriented approach impacts continuity of care in a long-term care setting. METHODS: Using a case study approach, we examined what aspects of goal-oriented care facilitate or inhibit continuity of care from the perspectives of administrators, care providers, and residents in a long-term care centre in Ontario, Canada. Data was collected through documentary evidence and semi-structured interviews. RESULTS: We analyzed six internal documents (e.g., strategic plan, client information package, staff presentations, evaluation framework, program logic model), and conducted 13 interviews. The findings indicated that the care provided through the goal-oriented approach program had elements that both facilitated and inhibited continuity of care. These factors are outlined according to the three types of continuity, including aspects of the program that influence informational, relational, and management continuity. CONCLUSIONS: Aspects of the goal-oriented care approach that facilitate continuity can be targeted when designing person-centered care approaches. More research is needed on goal-oriented care approaches that have been implemented in other long-term care settings to determine if the factors identified here as influencing continuity are confirmed.

Randomized Controlled Trial of a Decision Support Intervention About Cardiopulmonary Resuscitation for Hospitalized Patients Who Have a High Risk of Death.

BACKGROUND: Many seriously ill hospitalized patients have cardiopulmonary resuscitation (CPR) as part of their care plan, but CPR is unlikely to achieve the goals of many seriously ill hospitalized patients. OBJECTIVE: To determine if a multicomponent decision support intervention changes documented orders for CPR in the medical record, compared to usual care. DESIGN: Open-label randomized controlled trial. PATIENTS: Patients on internal medicine and neurology wards at two tertiary care teaching hospitals who had a 1-year mortality greater than 10% as predicted with a validated model and whose care plan included CPR, if needed. INTERVENTION: Both the control and intervention groups received usual communication about CPR at the discretion of their care team. The intervention group participated in a values clarification exercise and watched a CPR video decision aid. MAIN MEASURE: The primary outcome was the proportion of patients who had a no-CPR order at 14 days after enrollment. KEY RESULTS: We recruited 200 patients between October 2017 and October 2018. Mean age was 77 years. There was no difference between the groups in no-CPR orders 14 days after enrollment (17/100 (17%) intervention vs 17/99 (17%) control, risk difference, - 0.2%) (95% confidence interval - 11 to 10%; p = 0.98). In addition, there were no differences between groups in decisional conflict summary score or satisfaction with decision-making. Patients in the intervention group had less conflict about understanding treatment options (decisional conflict knowledge subscale score mean (SD), 17.5 (26.5) intervention arm vs 40.4 (38.1) control; scale range 0-100 with lower scores reflecting less conflict). CONCLUSIONS: Among seriously ill hospitalized patients who had CPR as part of their care plan, this decision support intervention did not increase the likelihood of no-CPR orders compared to usual care. PRIMARY FUNDING SOURCE: Canadian Frailty Network, The Ottawa Hospital Academic Medical Organization.

Predicting death in home care users: derivation and validation of the Risk Evaluation for Support: Predictions for Elder-Life in the Community Tool (RESPECT).

BACKGROUND: Prognostication tools that report personalized mortality risk and survival could improve discussions about end-of-life and advance care planning. We sought to develop and validate a mortality risk model for older adults with diverse care needs in home care using self-reportable information - the Risk Evaluation for Support: Predictions for Elder-Life in the Community Tool (RESPECT). METHODS: Using a derivation cohort that comprised adults living in Ontario, Canada, aged 50 years and older with at least 1 Resident Assessment Instrument for Home Care (RAI-HC) record between Jan. 1, 2007, and Dec. 31, 2012, we developed a mortality risk model. The primary outcome was mortality 6 months after a RAI-HC assessment. We used proportional hazards regression with robust standard errors to account for clustering by the individual. We validated this algorithm for a second cohort of users of home care who were assessed between Jan. 1 and Dec. 31, 2013. We used Kaplan-Meier survival curves to estimate the observed risk of death at 6 months for assessment of calibration and median survival. We constructed 61 risk groups based on incremental increases in the estimated median survival of about 3 weeks among adults at high risk and 3 months among adults at lower risk. RESULTS: The derivation and validation cohorts included 435 009 and 139 388 adults, respectively. We identified a total of 122 823 deaths within 6 months of a RAI-HC assessment in the derivation cohort. The mean predicted 6-month mortality risk was 10.8% (95% confidence interval [CI] 10.7%-10.8%) and ranged from 1.54% (95% CI 1.53%-1.54%) in the lowest to 98.1% (95% CI 98.1%-98.2%) in the highest risk group. Estimated median survival spanned from 28 days (11 to 84 d at the 25th and 75th percentiles) in the highest risk group to over 8 years (1925 to 3420 d) in the lowest risk group. The algorithm had a c-statistic of 0.753 (95% CI 0.750-0.756) in our validation cohort. INTERPRETATION: The RESPECT mortality risk prediction tool that makes use of readily available information can improve the identification of palliative and end-of-life care needs in a diverse older adult population receiving home care.

Characteristics of high-cost inpatients with peripheral artery disease.

OBJECTIVE: Inpatient treatment of peripheral artery disease (PAD) is more than six times as costly as that of the general inpatient population. Our objective was to describe factors associated with hospital cost for patients admitted for PAD, the characteristics of high-cost patients, and their outcomes including amputations and death. METHODS: We performed a retrospective cohort study of admitted patients receiving a procedure for PAD at The Ottawa Hospital between 2007 and 2016. Demographics, comorbidity, inpatient events, and hospital cost data during the index admission were collected. We defined high-cost patients as those whose total costs of index admission were in the tenth percentile and above. Features associated with high-cost status were examined using logistic regression with elastic net regularization. We used generalized linear models to examine overall drivers of cost. RESULTS: We identified 3084 eligible patients, incurring $72.2 million in hospital costs. The mean cost of the most expensive 10% of patients was $88,076 (standard deviation, $54,720), more than five times the mean cost of $16,217 (standard deviation, $10,322) for nonhigh-cost patients. High-cost patients were more likely to present urgently (odds ratio [OR], 1.63; 95% confidence interval [CI], 1.16-2.25; P < .01). After adjustment for preadmission factors, high-cost patients were more likely to have experienced an adverse patient safety incident (OR, 13.49; 95% CI, 6.97-24.8; P < .01), amputation (OR, 2.79; 95% CI, 1.68-4.49; P <.01), intensive care unit admission (OR, 6.42; 95% CI, 3.62-10.2; P < .01), and disposition barriers requiring alternate level of care status (OR, 10.44; 95% CI, 6.42-15.2; P < .01). The high-cost group was more likely to have received hybrid revascularization (OR, 7.07; 95% CI, 3.34-13.6; P < .01). High-cost patients had higher than predicted in-hospital mortality (18% vs 9.2% predicted) compared with the low-cost group (3.0% vs 2.7%; P < .001), and fewer than half of high-cost patients were discharged home. CONCLUSIONS: Providing hospital care for the top 10% most expensive patients in our cohort was more than five times as costly per patient than providing care for the nonhigh-cost patients. Whereas pre-existing factors may predispose a patient to require expensive care, there are potentially modifiable factors during the admission that could reduce costs of these patients.

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 Renal Replacement Therapy Versus Standard Care in the ICU: A Systematic Review, Meta-Analysis, and Cost Analysis.

OBJECTIVE:: Renal replacement therapy (RRT) is the treatment of choice for severe acute kidney injury, but there are no firm guidelines as to the time of initiation of RRT in the critically ill. The primary objective of this study is to determine 1-month mortality rates of early versus late dialysis in critical care. As secondary end points, we provide a cost analysis of early versus late RRT initiation, intensive care unit (ICU) length of stay (LOS), hospital LOS, and number of patients on dialysis at day 60 postrandomization. DATA SOURCES:: We identified all randomized controlled trials (RCTs) through EMLINE and MEDBASE that examined adult patients admitted to critical care who were randomized to receiving early dialysis versus standard of care. STUDY SELECTION:: Inclusion criteria: (1) RCTs conducted after the year 2000, (2) the population evaluated had to be adults admitted to ICU, (3) the intervention had to be early RRT versus standard care, and (4) outcomes had to measure patient mortality. DATA EXTRACTION:: Two independent investigators reviewed search results and identified appropriate studies. Information was extracted using standardized case report forms. DATA SYNTHESIS:: Overall, 7 RCTs were included with a total of 1400 patients. Early RRT showed no survival benefit when compared to standard treatment (odds ratio [OR], 0.90 95% confidence interval [95% CI] 0.70-1.15, P = .39). There was no significant difference in length of hospital stay in patients with early RRT (-1.55 days [95% CI -4.75 to 1.65, P = .34]), in length of ICU stay (-0.79 days [95% CI -2.09 to 0.52], P = .24), or proportion of patients on dialysis at day 60 (OR 0.93 [95% CI 0.62 to 1.43], P = .79). Per patient, there is likely a small increase in costs (

The impact of reducing intensive care unit length of stay on hospital costs: evidence from a tertiary care hospital in Canada.

PURPOSE: To use theoretical modelling exercises to determine the effect of reduced intensive care unit (ICU) length of stay (LOS) on total hospital costs at a Canadian centre. METHODS: We conducted a retrospective cost analysis from the perspective of one tertiary teaching hospital in Canada. Cost, demographic, clinical, and LOS data were retrieved through case-costing, patient registry, and hospital abstract systems of The Ottawa Hospital Data Warehouse for all new in-patient ward (30,483) and ICU (2,239) encounters between April 2012 and March 2013. Aggregate mean daily variable direct (VD) costs for ICU vs ward encounters were summarized by admission day number, LOS, and cost centre. RESULTS: The mean daily VD cost per ICU patient was $2,472 (CAD), accounting for 67.0% of total daily ICU costs per patient and $717 for patients admitted to the ward. Variable direct cost is greatest on the first day of ICU admission ($3,708), and then decreases by 39.8% to plateau by the fifth day of admission. Reducing LOS among patients with ICU stays ≥ four days could potentially result in an annual hospital cost saving of $852,146 which represents 0.3% of total in-patient hospital costs and 1.2% of ICU costs. CONCLUSION: Reducing ICU LOS has limited cost-saving potential given that ICU costs are greatest early in the course of admission, and this study does not support the notion of reducing ICU LOS as a sole cost-saving strategy.

Advance care planning after hospital discharge: qualitative analysis of facilitators and barriers from patient interviews.

BACKGROUND: Patients who engage in Advance Care Planning (ACP) are more likely to get care consistent with their values. We sought to determine the barriers and facilitators to ACP engagement after discharge from hospital. METHODS: Prior to discharge from hospital eligible patients received a standardized conversation about prognosis and ACP. Each patient was given an ACP workbook and asked to complete it over the following four weeks. We included frail elderly patients with a high risk of death admitted to general internal medicine wards at a tertiary care academic teaching hospital. Four weeks after discharge we conducted semi-structured interviews with patients. Interviews were transcribed, coded and analysed with thematic analysis. Themes were categorized according to the theoretical domains framework. RESULTS: We performed 17 interviews. All Theoretical Domain Framework components except for Social/Professional Identity and Behavioral Regulation were identified in our data. Poor knowledge about ACP and physician communication skills were barriers partially addressed by our intervention. Some patients found it difficult to discuss ACP during an acute illness. For others acute illness made ACP discussions more relevant. Uncertainty about future health motivated some participants to engage in ACP while others found that ACP discussions prevented them from living in the moment and stripped them of hope that better days were ahead. CONCLUSIONS: For some patients acute illness resulting in admission to hospital can be an opportunity to engage in ACP conversations but for others ACP discussions are antithetical to the goals of hospital care.

On-line doctors: A disruptive innovation?

Banking, transportation, and retail have each been transformed by technology enabling on-demand access 24/7 at lower prices. This trend has not yet revolutionized the medical field, but on-line physician services are increasingly common in Canada and have the potential to change the way care is delivered. In this article, we will describe the state of on-line physician services in Canada and outline associated ethical considerations, including autonomy, beneficence, maleficence, and justice. We will suggest steps to mitigate risk so that these services add value for patients and the health system as a whole.

Clinical factors contributing to high cost hospitalizations in a Canadian tertiary care centre.

BACKGROUND: Like much of the developed world, healthcare costs in Canada are rising. A small proportion of patients account for a large proportion of healthcare spending and much of this spending occurs in acute care settings. The purpose of our study was to determine potentially modifiable factors related to care processes that contribute to high-cost admissions. METHODS: Using a mixed-methods study design, factors contributing to high-cost admissions were identified from literature and case review. We defined pre- and post-admission factors contributing to high-cost admissions. Pre-admission factors included reason for admission (e.g. complex medical, elective surgery, trauma, etc.). Post-admission factors included medical complications, disposition delays, clinical services delays, and inefficient clinical decision-making. We selected a random sample of admissions in the top decile of inpatient cost from the Ottawa Hospital between January 1 and December 31, 2010. A single reviewer classified cases based on the pre- and post-admission factors. We combined this information with data derived from the Ottawa Hospital Data Warehouse to describe patient-level clinical and demographic characteristics and costs incurred. RESULTS: We reviewed 200 charts which represents ~5% of all high cost admissions within the Ottawa Hospital in 2010. Post-admission factors contributing to high-cost admissions were: complications (60%), disposition delays (53%), clinical service delays (39%), and inefficient clinical decision-making (13%). Further, these factors varied substantially across service delivery lines. The mean (standard deviation (SD)) cost per admission was $49,923 CDN ($45,773). The most common reason for admission was "complex medical" (49%) and the overall median (IQR) length of stay was 27 (18-48) days. Approximately 1 in 3 high cost admissions (29%) included time in the intensive care unit (ICU). CONCLUSIONS: While high cost admissions often include time in ICU and have long lengths of stay, a substantial proportion of costs were attributable to complications and potentially preventable delays in care processes. These findings suggest opportunities exist to improve outcomes and reduce costs for this diverse patient population.

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.

Influence of educational, audit and feedback, system based, and incentive and penalty interventions to reduce laboratory test utilization: a systematic review.

Laboratory and radiographic tests are often ordered unnecessarily. This excess testing has financial costs and is a burden on patients. We performed a systematic review to determine the effectiveness interventions to reduce test utilization by physicians. The MEDLINE and EMBASE databases were searched for the years 1946 through to September 2013 for English articles that had themes of test utilization and cost containment or optimization. Bibliographies of included papers were scanned to identify other potentially relevant studies. Our search resulted in 3236 articles of which 109 met the inclusion criteria of having an intervention aimed at reducing test utilization with results that could be expressed as a percent reduction in test use relative to the comparator. Each intervention was categorized into one or more non-exclusive category of education, audit and feedback, system based, or incentive or penalty. A rating of study quality was also performed. The percent reductions in test use ranged from a 99.7% reduction to a 27.7% increase in test use. Each category of intervention was effective in reducing test utilization. Heterogeneity between interventions, poor study quality, and limited time horizons makes generalizations difficult and calls into question the validity of results. Very few studies measure any patient safety or quality of care outcomes affected by reduced test use. There are numerous studies that use low investment strategies to reduce test utilization with one time changes in the ordering system. These low investment strategies are the most promising for achievable and durable reductions in inappropriate test use.

Palliative End-of-Life Medication Prescribing Rates in Long-Term Care: A Retrospective Cohort Study.

BACKGROUND: Medications are often needed to manage distressing end-of-life symptoms (eg, pain, agitation). OBJECTIVES: In this study, we describe the variation in prescribing rates of symptom relief medications at the end of life among long-term care (LTC) decedents. We evaluate the extent these medications are prescribed in LTC homes and whether prescribing rates of end-of-life symptom management can be used as an indicator of quality end-of-life care. DESIGN: Retrospective cohort study using administrative health data. SETTING AND PARTICIPANTS: LTC decedents in all 626 publicly funded LTC homes in Ontario, Canada, between January 1, 2017, and March 17, 2020. METHODS: For each LTC home, we measured the percent of decedents who received 1+ prescription(s) for a subcutaneous end-of-life symptom management medication ("end-of-life medication") in their last 14 days of life. We then ranked LTC homes into quintiles based on prescribing rates. RESULTS: We identified 55,916 LTC residents who died in LTC. On average, two-thirds of decedents (64.7%) in LTC homes were prescribed at least 1 subcutaneous end-of-life medication in the last 2 weeks of life. Opioids were the most common prescribed medication (overall average prescribing rate of 62.7%). LTC homes in the lowest prescribing quintile had a mean of 37.3% of decedents prescribed an end-of-life medication, and the highest quintile mean was 82.5%. In addition, across these quintiles, the lowest prescribing quintile had a high average (30.3%) of LTC residents transferred out of LTC in the 14 days compared with the highest prescribing quintile (12.7%). CONCLUSIONS AND IMPLICATIONS: Across Ontario's LTC homes, there are large differences in prescribing rates for subcutaneous end-of-life symptom relief medications. Although future work may elucidate why the variability exists, this study provides evidence that administrative data can provide valuable insight into the systemic delivery of end-of-life care.

Changes in End-of-Life Symptom Management Prescribing among Long-Term Care Residents during COVID-19.

OBJECTIVE: To examine changes in the prescribing of end-of-life symptom management medications in long-term care (LTC) homes during the COVID-19 pandemic. DESIGN: Retrospective cohort study using routinely collected health administrative data in Ontario, Canada. SETTING AND PARTICIPANTS: We included all individuals who died in LTC homes between January 1, 2017, and March 31, 2021. We separated the study into 2 periods: before COVID-19 (January 1, 2017, to March 17, 2020) and during COVID-19 (March 18, 2020, to March 31, 2021). METHODS: For each LTC home, we measured the percentage of residents who died before and during COVID-19 who had a subcutaneous symptom management medication prescription in their last 14 days of life. We grouped LTC homes into quintiles based on their mean prescribing rates before COVID-19, and examined changes in prescribing during COVID-19 and COVID-19 outcomes across quintiles. RESULTS: We captured 75,438 LTC residents who died in Ontario's 626 LTC homes during the entire study period, with 19,522 (25.9%) dying during COVID-19. The mean prescribing rate during COVID-19 ranged from 46.9% to 79.4% between the lowest and highest prescribing quintiles. During COVID-19, the mean prescribing rate in the lowest prescribing quintile increased by 9.6% compared to before COVID-19. Compared to LTC homes in the highest prescribing quintile, homes in the lowest prescribing quintile experienced the highest proportion of COVID-19 outbreaks (73.4% vs 50.0%), the largest mean outbreak intensity (0.27 vs 0.09 cases/bed), the highest mean total days with a COVID-19 outbreak (72.7 vs 24.2 days), and the greatest proportion of decedents who were transferred and died outside of LTC (22.1% vs 8.6%). CONCLUSIONS AND IMPLICATIONS: LTC homes in Ontario had wide variations in the prescribing rates of end-of-life symptom management medications before and during COVID-19. Homes in the lower prescribing quintiles had more COVID-19 cases per bed and days spent in an outbreak.

"To Be or Not to Be"-Cardiopulmonary Resuscitation for Hospitalized People Who Have a Low Probability of Benefit: Qualitative Analysis of Semi-structured Interviews.

Purpose: Our aim was to understand the decision making of patients in hospital who wanted cardiopulmonary resuscitation despite low probability of benefit. Methods: We included patients admitted to general medical wards who had a low chance of surviving in-hospital cardiopulmonary resuscitation (CPR) and had an order in the chart to administer CPR. We developed an interview guide to explore participants' decision-making process, sources of information, and emotions associated with this decision. Results: We developed 3 themes from the data. 1) "Life is worth living . . . for now": Participants describe their enjoyment of life and desire to carry on in their current state. 2) "Making sense of CPR outcomes": Participants saw CPR outcomes as binary, either they live, or they die; deciding not to receive CPR means choosing death. Participants were optimistic they would survive CPR and cited personal experience and TV as information sources. 3) "Decision process": Participants did not engage in shared decision making. Instead, they were asked a binary yes/no question with no reflection on their values or discussion about harms or benefits. Limitations: The probability of successful CPR in our sample is unknown. Findings may be different in a population who is imminently dying but still requesting CPR. Conclusions: Participants chose CPR because they perceived life as worth living and CPR as a chance worth taking. Participants did not want to be left in a severely debilitated state but did not have accurate information about this risk. Implications: Decision making about CPR in-hospital can be improved if it is grounded in accurate risk understanding and the patient's values and wishes.

Usability, acceptability and clinical utility of a mobile app to screen for hearing loss in older adults in a geriatric rehabilitation hospital.

RATIONALE: Hearing loss is a common problem for older adults entering rehabilitation hospitals. AIMS AND OBJECTIVES: To pilot a hearing loss screening device to determine feasibility, usability, and impact on patient outcomes. METHODS: We screened all patients newly admitted to a geriatric day hospital for hearing loss using the SHOEBOX® QuickTest (SHOEBOX Ltd.) app as part of a quality improvement programme. We measured the time it took for each patient to complete screening and recorded any issues they had using the app. We recorded the number of patients who screened positive who did not have a previous diagnosis and changes in physician behaviours after they received their patients' results. RESULTS: Seventy-four patients with a mean age of 83.4 years used the hearing screener. All patients were able to complete the screening with a mean time to completion of 10 min and 48 s. Ninety-nine percent of patients screened positive for hearing loss. Of these positives 56% were in participants not already known to have hearing loss. Physicians often changed their behaviour after receiving results by using assistive devices during visits and referring to audiology for formal testing. CONCLUSIONS: Screening for hearing loss is feasible in a geriatric day hospital. The SHOEBOX QuickTest app is acceptable, usable, resulting in the identification of undiagnosed hearing loss and in changes to physician behaviour.

Association of Preoperative Medical Consultation With Reduction in Adverse Postoperative Outcomes and Use of Processes of Care Among Residents of Ontario, Canada.

Importance: It is uncertain whether preoperative medical consultation reduces adverse postoperative clinical outcomes. Objective: To investigate the association of preoperative medical consultation with reduction in adverse postoperative outcomes and use of processes of care. Design, Setting, and Participants: This was a retrospective cohort study using linked administrative databases from an independent research institute housing routinely collected health data for Ontario's 14 million residents, including sociodemographic features, physician characteristics and services, and receipt of inpatient and outpatient care. The study sample included Ontario residents aged 40 years or older who underwent their first qualifying intermediate- to high-risk noncardiac operation. Propensity score matching was used to adjust for differences between patients who did and did not undergo preoperative medical consultation with discharge dates between April 1, 2005, and March 31, 2018. The data were analyzed from December 20, 2021, to May 15, 2022. Exposures: Receipt of preoperative medical consultation in the 4 months preceding the index surgery. Main Outcomes and Measures: The primary outcome was 30-day all-cause postoperative mortality. Secondary outcomes included 1-year mortality, inpatient myocardial infarction and stroke, in-hospital mechanical ventilation, length of stay, and 30-day health system costs. Results: Of the total 530 473 individuals (mean [SD] age, 67.1 [10.6] years; 278 903 [52.6%] female) included in the study, 186 299 (35.1%) received preoperative medical consultation. Propensity score matching resulted in 179 809 well-matched pairs (67.8% of the full cohort). The 30-day mortality rate was 0.9% (n = 1534) in the consultation group and 0.7% (n = 1299) in the control group (odds ratio [OR], 1.19; 95% CI, 1.11-1.29). The ORs for 1 year mortality (OR, 1.15; 95% CI, 1.11-1.19), inpatient stroke (OR, 1.21; 95% CI, 1.06-1.37), in-hospital mechanical ventilation (OR, 1.38; 95% CI, 1.31-1.45), and 30-day emergency department visits (OR, 1.07; 95% CI, 1.05-1.09) were higher in the consultation group; however, the rates of inpatient myocardial infarction did not differ. The lengths of stay in acute care were a mean (SD) 6.0 (9.3) days in the consultation group and 5.6 (10.0) days in the control group (difference, 0.4 [95% CI, 0.3-0.5] days), and the median (IQR) total 30-day health system cost was CAD $317 ($229-$959) (US $235 [$170-$711]) higher in the consultation group. Preoperative medical consultation was associated with increased use of preoperative echocardiography (OR, 2.64; 95% CI, 2.59-2.69) and cardiac stress tests (OR, 2.50; 95% CI, 2.43-2.56) and higher odds of receiving a new prescription for ß-blockers (OR, 2.96; 95% CI, 2.82-3.12). Conclusions and Relevance: In this cohort study, preoperative medical consultation was not associated with a reduction but rather with an increase in adverse postoperative outcomes, suggesting a need for further refinement of target populations, processes, and interventions related to preoperative medical consultation. These findings highlight the need for further research and suggest that referral for preoperative medical consultation and subsequent testing should be carefully guided by individual-level consideration of risks and benefits.

Incidence Morbidity and Mortality From Falls in Skilled Nursing Facilities: A Systematic Review and Meta-Analysis.

OBJECTIVES: The primary objective of this study was to systematically review and meta-analyze the incidence and consequential morbidity and mortality from falls in skilled nursing facilities. Our secondary objective is to synthesize current evidence on risk factors for injurious falls. DESIGN: Systematic review and meta-analysis. SETTING AND PARTICIPANTS: Older adults residing in skilled nursing facilities or similar settings. METHODS: We completed study screening, data extraction, and quality assessment in duplicate. Random effects models were used for meta-analysis of fall incidence rates and proportions of outcomes per fall. Sensitivity analysis and meta-regression were completed to assess differences based on study design, quality, and population characteristics. The Newcastle Ottawa Scale and Cochrane Risk of Bias tools were used to assess quality of observational and intervention-based studies, respectively. The GRADE tool was used to evaluate strength of evidence for fall risk factors. RESULTS: We identified 3103 unique references, of which 38 were included in systematic review and 37 in meta-analysis. Pooled incidence of falls was 121 per 100 person-years (95% CI 86-170). Outcomes of transfer to hospital, admission to hospital, overall injury, head injury, fracture, 30-day mortality, death in hospital, and disability were reported by included studies. Sensitivity analysis indicated no significant difference in fall rates between study designs. Meta-regression indicated no significant relationship between fall rate and age or sex; however, a weak positive correlation was identified with increasing prevalence of dementia. No fall risk factors were supported by high-quality evidence. CONCLUSION/IMPLICATIONS: Our study confirms that falls in skilled nursing facilities are common and cause significant morbidity, mortality and health system use. As populations in high-income countries age, falls will become increasingly prevalent. Future research should be directed at preventing injurious falls and determining when hospital care will benefit a faller.

Decisions and Decisional Needs of Canadians From all Provinces and Territories During the COVID-19 Pandemic: Population-Based Cross-sectional Surveys.

BACKGROUND: Never before COVID-19 had Canadians faced making health-related decisions in a context of significant uncertainty. However, little is known about which type of decisions and the types of difficulties that they faced. OBJECTIVE: We sought to identify the health-related decisions and decisional needs of Canadians. METHODS: Our study was codesigned by researchers and knowledge users (eg, patients, clinicians). Informed by the CHERRIES (the Checklist for Reporting Results of Internet E-Surveys) reporting guideline, we conducted 2 online surveys of random samples drawn from the Leger consumer panel of 400,000 Canadians. Eligible participants were adults (≥18 years) who received or were receiving any health services in the past 12 months for themselves (adults) or for their child (parent) or senior with cognitive impairment (caregiver). We assessed decisions and decisional needs using questions informed by the Ottawa Decision Support Framework, including decisional conflict and decision regret using the Decision Conflict Scale (DCS) and the Decision Regret Scale (DRS), respectively. Descriptive statistics were conducted for adults who had decided for themselves or on behalf of someone else. Significant decisional conflict (SDC) was defined as a total DCS score of >37.5 out of 100, and significant decision regret was defined as a total DRS score of >25 out of 100. RESULTS: From May 18 to June 4, 2021, 14,459 adults and 6542 parents/caregivers were invited to participate. The invitation view rate was 15.5% (2236/14,459) and 28.3% (1850/6542); participation rate, 69.3% (1549/2236) and 28.7% (531/1850); and completion rate, 97.3% (1507/1549) and 95.1% (505/531), respectively. The survey was completed by 1454 (97.3%) adults and 438 (95.1%) parents/caregivers in English (1598/1892, 84.5%) or French (294/1892, 15.5%). Respondents from all 10 Canadian provinces and the northern territories represented a range of ages, education levels, civil statuses, ethnicities, and annual household income. Of 1892 respondents, 541 (28.6%) self-identified as members of marginalized groups. The most frequent decisions were (adults vs parents/caregivers) as follows: COVID-19 vaccination (490/1454, 33.7%, vs 87/438, 19.9%), managing a health condition (253/1454, 17.4%, vs 47/438, 10.7%), other COVID-19 decisions (158/1454, 10.9%, vs 85/438, 19.4%), mental health care (128/1454, 8.8%, vs 27/438, 6.2%), and medication treatments (115/1454, 7.9%, vs 23/438, 5.3%). Caregivers also reported decisions about moving family members to/from nursing or retirement homes (48/438, 11.0%). Adults (323/1454, 22.2%) and parents/caregivers (95/438, 21.7%) had SDC. Factors making decisions difficult were worrying about choosing the wrong option (557/1454, 38.3%, vs 184/438, 42.0%), worrying about getting COVID-19 (506/1454, 34.8%, vs 173/438, 39.5%), public health restrictions (427/1454, 29.4%, vs 158/438, 36.1%), information overload (300/1454, 20.6%, vs 77/438, 17.6%), difficulty separating misinformation from scientific evidence (297/1454, 20.4%, vs 77/438, 17.6%), and difficulty discussing decisions with clinicians (224/1454, 15.4%, vs 51/438, 11.6%). For 1318 (90.6%) adults and 366 (83.6%) parents/caregivers who had decided, 353 (26.8%) and 125 (34.2%) had significant decision regret, respectively. In addition, 1028 (50%) respondents made their decision alone without considering the opinions of clinicians. CONCLUSIONS: During COVID-19, Canadians who responded to the survey faced several new health-related decisions. Many reported unmet decision-making needs, resulting in SDC and decision regret. Interventions can be designed to address their decisional needs and support patients facing new health-related decisions.