Potentially Inappropriate Prescribing in Belgian Nursing Homes: Prevalence and Associated Factors

Background/objectives

Our aim was to describe the prevalence of potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs) in Belgian nursing homes and to identify characteristics of residents, general practitioners (GPs), and nursing homes (NHs) that are associated with the number of PIMs and PPOs.

Medication-Related Acute Care Admission and Inappropriate Polypharmacy of Nursing Home Residents

ObjectivesTo evaluate the prevalence of medication-related admissions (MRAs) and their association with potentially inappropriate medications (PIMs) used by nursing home residents admitted to the geriatric center of a tertiary hospital.DesignCross-sectional study.Setting and ParticipantsOlder patients admitted from nursing homes to the geriatric center of the Seoul National University Bundang Hospital who had undergone comprehensive geriatric assessment from January 1, 2016, to December 31, 2020.MethodsMRAs were determined and verified using a previously described MRA adjudication guide. The PIMs in the preadmission medication lists were identified according to each of the following criteria (as well as the combined criteria), the Beers, NORGEP-NH, STOPP/START-NH, and STOPPFrail criteria. Medication use factors associated with MRAs were analyzed using multivariate logistic regression.ResultsAmong the 304 acute care admissions, 32.2% were MRAs. The main cause of MRAs was acute kidney injury related with use of renin-angiotensin system inhibitors. Approximately 81% of the patients used at least 1 PIM according to the combined criteria. The use of 1 or more PIMs, renin-angiotensin system inhibitors, diuretics, nonsteroidal anti-inflammatory drugs, and benzodiazepines was significantly associated with MRAs. The combined criteria were able to predict MRAs better than the individual criteria.Conclusions and ImplicationsApproximately one-third of acute admissions of nursing home residents may be MRAs. Interventions for the optimal use of medication among nursing home residents are needed.     

How do busy hospital circumstances affect mortality and readmission within 60 days: A cohort study of 680 000 acute admissions in Norway

ObjectiveTo study mortality and readmissions for older patients admitted during more and less busy hospital circumstances.DesignCohort study where we identified patients that were admitted to the same hospital, during the same month and day of the week. We estimated effects of inflow of acute patients and the number of concurrent acute inpatients. Mortality and readmissions were analysed using stratified Cox-regression.SettingAll people 80 years and older acutely admitted to Norwegian hospitals between 2008 and 2016.Main outcome measuresMortality and readmissions within 60 days from admission.ResultsAmong 294 653 patients with 685 197 admissions, mean age was 86 years (standard deviation 5). Overall, 13% died within 60 days. An interquartile range difference in inflow of acute patients was associated with a hazard ratio (HR) of 0.99, 95% confidence interval (95% CI) 0.98 to 1.00). There was little evidence of differences in readmissions, but a 7% higher risk (HR 1.07, 95% CI 1.06 to 1.09) of being discharged outside ordinary daytime working hours.ConclusionsOlder patients admitted during busier circumstances had similar mortality and readmissions to those admitted during less busy periods. Yet, they showed a higher risk of discharge outside daytime working hours. Despite limited effects of busyness on a hospital level, there could still be harmful effects of local situations.     

Derivation and Validation of a Model to Predict 30-Day Readmission in Surgical Patients Discharged to Skilled Nursing Facility

ObjectivesTo identify factors associated with 30-day all-cause readmission rates in surgical patients discharged to skilled nursing facilities (SNFs), and derive and validate a risk score.DesignRetrospective cohort.Setting and participantsPatients admitted to 1 tertiary hospital's surgical services between January 1, 2011, and December 31, 2014 and subsequently discharged to 110 SNFs within a 25-mile radius of the hospital. The first 2 years were used for the derivation set and the last 2 for validation.MethodsData were collected on 30-day all cause readmissions, patient demographics, procedure and surgical service, comorbidities, laboratory tests, and prior health care utilization. Multivariate regression was used to identify risk factors for readmission.ResultsDuring the study period, 2405 surgical patients were discharged to 110 SNFs, and 519 (21.6%) of these patients experienced readmission within 30 days. In a multivariable regression model, hospital length of stay [odds ratio (OR) per day: 1.03, 95% confidence interval (CI) 1.02-1.04], number of hospitalizations in past year (OR 1.24 per hospitalization, 95% CI 1.18-1.31), nonelective surgery (OR 1.33, 95% CI 1.18-1.65), low-risk service (orthopedic/spine service) (OR 0.32, 95% CI 0.25-0.42), and intermediate-risk service (cardiothoracic surgery/urology/gynecology/ear, nose, throat) (OR 0.69, 95% CI 0.53-0.88) were associated with all-cause readmissions. The model had a C index of 0.71 in the validation set. Using the following risk score [0.8 × (hospital length of stay) + 7 × (number of hospitalizations in past year) +10 for nonelective surgery, +36 for high-risk surgery, and +20 for intermediate-risk surgery], a score of >40 identified patients at high risk of 30-day readmission (35.8% vs 12.6%, P < .001).Conclusions/ImplicationsAmong surgical patients discharged to an SNF, a simple risk score with 4 parameters can accurately predict the risk of 30-day readmission.     

Association of Social Behaviors With Community Discharge in Patients with Total Hip and Knee Replacement

ObjectivesUnderstand the association between social determinants of health and community discharge after elective total joint arthroplasty.DesignRetrospective cohort design using Optum de-identified electronic health record dataset.Setting and ParticipantsA total of 38 hospital networks and 18 non-network hospitals in the United States; 79,725 patients with total hip arthroplasty and 136,070 patients with total knee arthroplasty between 2011 and 2018.MethodsLogistic regression models were used to examine the association among pain, weight status, smoking status, alcohol use, substance disorder, and postsurgical community discharge, adjusted for patient demographics.ResultsMean ages for patients with hip and knee arthroplasty were 64.5 (SD 11.3) and 65.9 (SD 9.6) years; most patients were women (53.6%, 60.2%), respectively. The unadjusted community discharge rate was 82.8% after hip and 81.1% after knee arthroplasty. After adjusting for demographics, clinical factors, and behavioral factors, we found obesity [hip: odds ratio (OR) 0.81, 95% confidence interval (CI) 0.76–0.85; knee: OR 0.73, 95% CI 0.69–0.77], current smoking (hip: OR 0.82, 95% CI 0.77–0.88; knee: OR 0.90, 95% CI 0.85–0.95), and history of substance use disorder (hip: OR 0.55, 95% CI 0.50–0.60; knee: OR 0.57, 95% CI 0.53–0.62) were associated with lower odds of community discharge after hip and knee arthroplasty, respectively.Conclusions and ImplicationsSocial determinants of health are associated with odds of community discharge after total hip and knee joint arthroplasty. Our findings demonstrate the value of using electronic health record data to analyze more granular patient factors associated with patient discharge location after total joint arthroplasty. Although bundled payment is increasing community discharge rates, post-acute care facilities must be prepared to manage more complex patients because odds of community discharge are diminished in those who are obese, smoking, or have a history of substance use disorder.     

Facteurs prédictifs de la mortalité des patients admis aux urgences médicales des cliniques universitaires de Kinshasa

BackgroundThe management of medical emergencies is poorly organized in the Democratic Republic of Congo. In addition, the mortality of patients attending the medical emergency unit of Kinshasa University Hospital is relatively high, with death of patients occurring rather early. To date, factors associated with this mortality have been poorly elucidated. This study aimed to identify predictive factors of all-cause mortality in patients admitted to the medical emergency unit of the Kinshasa University Hospital.MethodsAnalytical prospective study of all patients admitted from 15th January to 15th February 2011 in the emergency unit of the internal medicine department of Kinshasa University Hospital (427 patients). Among these patients, 13 were dead at arrival and were excluded from this study. The 414 patients included were followed until discharge from the hospital. Demographic, clinical, biological, diagnostic, therapeutical and evolutive data were collected. Four multivariate logistic regression models were used to identify risk factors associated with mortality.ResultsPatients’ median age was 40 years (interquartile range, 28–58 years), 54.5% were male, and 15.9% had a life-threatening pathological condition on admission. The overall mortality was 12.3%. According to multivariate analyses, transfer from other health care structures (OR: 3.5; 95% CI: 1.7–7.1), Glasgow Coma Scale score less than 14 on admission (OR: 11.1; 95% CI: 4.7–26.3), high creatinine level (OR: 4.2; 95% CI: 1.8–9.7), presence of cardiovascular (OR: 2.9; 95% CI: 1.5–5.7), renal (OR: 7.4; 95% CI: 3.2–17.3), hematologic and/or respiratory (OR: 6.1; 95% CI: 1.7–21.4) diseases, presence of sepsis and/or meningitis and encephalitis (OR: 5.2; 95% CI: 1.6–17.0) were significantly associated with a high risk of death. However, the Glasgow Coma Scale score less than 14 on admission and renal disease were the only predictive factors of mortality remaining after including demographic, clinical, diagnostic and therapeutical variables in the logistic regression model.ConclusionOur study showed that transfer from another health care structure, low Glasgow Coma Scale score on admission, high creatinine level, cardiovascular, renal, hematologic and/or respiratory diseases, sepsis and/or meningitis and encephalitis were associated with an increased risk of death in Kinshasa University Hospital patients admitted in the medical emergency unit.     

At Surgeons' Sessions: A Focus on Adjunctive Immunotherapy

Abstract

Background: Antimuscarinic drug prescribing scoring systems might better identify patients at risk of adverse drug reactions. The recently developed Anticholinergic Risk Scale (ARS) score is significantly associated with the number of antimuscarinic side effects in older outpatients. We sought to identify the clinical and demographic patient-level correlates of the ARS, including a modified version adjusted for daily dose, in elderly hospitalized patients. Methods: Clinical and demographic patient characteristics known to be associated with antimuscarinic prescribing, ARS and dose-adjusted ARS scores, and full medication exposure on admission were recorded in 362 consecutive patients (aged 83.6 ± 6.6 years) admitted to 2 geriatric units (NHS Grampian, Aberdeen, Scotland, UK) between February 1, 2010 and June 30, 2010. Results: Each year of increasing age was associated with reduced number of antimuscarinic drugs (incidence rate ratio [IRR], 0.963; 95% confidence interval [CI], 0.948–0.980; P < 0.001), non-antimuscarinic drugs (IRR, 0.991; 95% CI, 0.985–0.997; P = 0.006), and total number of drugs (IRR, 0.988; 95% CI, 0.983–0.994; P < 0.001). Multivariate Poisson regression showed that increasing age and history of dementia were negatively associated with the ARS score (IRR, 0.97; 95% CI, 0.94–0.99; P = 0.001 and IRR, 0.62; 95% CI, 0.41–0.92; P = 0.019, respectively). By contrast, institutionalization (IRR, 1.32; 95% CI, 1.00–1.74; P = 0.050), Charlson comorbidity index (IRR, 1.06; 95% CI, 1.01–1.11; P = 0.015), and total number of non-antimuscarinic drugs (IRR, 1.13; 95% CI, 1.08–1.18; P < 0.001) were all positively associated with the ARS score. Similar results were observed for the dose-adjusted ARS score. Conclusion: Institutionalization, comorbidities, and non-antimuscarinic polypharmacy show independent positive associations with the ARS and dose-adjusted ARS scores in older hospitalized patients. Increasing age and dementia are negatively associated with the ARS score.     

Geriatric conditions and adverse drug reactions in elderly hospitalized patients

ObjectivesTo investigate the relationship between clinical conditions typically observed in the geriatric patients (geriatric conditions) and adverse drug reactions in older patients admitted to acute care hospitals.Design and SettingProspective observational study conducted in 11 acute care medical wards throughout Italy.ParticipantsFive hundred six patients aged 65 years or older consecutively admitted to participating wards.MeasurementsThe outcome of the study was the occurrence of any adverse drug reactions during the hospital stay. Geriatric conditions considered in the analysis were basic activities of daily living, history of falls, slow walking speed, malnutrition, dementia, depression, 1 or more unplanned admissions in the previous 3 months, history of stroke, unintentional weight loss, and exhaustion. The relationship between risk factors and outcomes was assessed using logistic regression.ResultsFemale gender (odds ratio [OR] 2.29; 95% confidence interval [CI] 1.18–4.45) and number of medications taken during hospitalization (OR 1.12; 95% CI 1.06–1.18), but not individual Geriatric conditions, were associated with the outcome after correction for potential confounders. However, the simultaneous presence of history of falls and dependency in at least 1 activities of daily living (OR 2.18; 95% CI 1.13–4.19) was associated with adverse drug reactions during stay.ConclusionThe simultaneous presence of history of falls and dependency in at least one activity of daily living defines a condition of particular vulnerability of elderly hospitalized patients to adverse drug reactions. Physicians should be aware of this high-risk condition when prescribing new drugs to disabled older people.     

The Association between Oral Nutritional Supplements and 30-Day Hospital Readmissions of Malnourished Patients at a US Academic Medical Center

BackgroundMalnutrition affects up to 50% of hospitalized patients and contributes to adverse health and economic outcomes, but often remains unrecognized or undertreated.ObjectiveThis study assessed the utilization of oral nutritional supplements (ONS) and its association with the number of 30-day unplanned hospital readmissions of adult malnourished patients in comparison with the readmissions rates of their malnourished counterparts who did not receive ONS.DesignThis was a retrospective cohort study.Participants/settingOf 153,161 inpatient encounters analyzed, a total of 8,713 (5.7%) malnourished adults admitted to an academic medical center hospital in the United States between October 1, 2016, and September 30, 2017 were included in the analyses. The study utilized records of patients at risk of malnutrition on admission and subsequently diagnosed as malnourished by a registered dietitian following established criteria.Main outcomes measuresONS utilization rate, hospital length of stay (LOS), and 30-day unplanned hospital readmissions data were obtained from electronic medical records.Statistical analyses performedThe associations between the number of 30-day unplanned hospital readmissions and ONS use were analyzed using mixed-effects negative binomial regression models, with coefficients and 95% CIs reported. Important covariates such as age, sex, and the severity of illness index were included in the regression models.ResultsOnly 3.1% of malnourished patients received ONS. ONS users had 38.8% fewer readmissions compared with non-ONS counterparts (P=0.017). The reduction in hospital readmissions by ONS was even greater for oncology patients (46.1%, P<0.001). A 50% reduction in time from hospital admission to ONS provision was associated with a 10.2% (P<0.01), 10.2% (P=0.014), and 16.6% (P<0.01) decrease in LOS for overall, oncology, and intensive care unit encounters, respectively.ConclusionsIn a large cohort of malnourished adult inpatient encounters, ONS provision rate was low, but when used, ONS intervention was associated with 38.8% fewer 30-day readmissions. This association was more pronounced for oncology encounters. Shorter LOS was observed when the interval between admission and ONS initiation was shorter. Reduced LOS and readmissions rates could result in financial benefits for health care systems prioritizing hospital nutrition care, in addition to informing significant medical benefits for their patients.     

Determinants of Post-acute Care Costs in Acutely Hospitalized Older Adults: The Hospital-ADL Study

ObjectivesAfter hospitalization, many older adults need post-acute care, including rehabilitation or home care. However, post-acute care expenses can be as high as the costs for the initial hospitalization. Detailed information on monthly post-acute health care expenditures and the characteristics of patients that make up for a large share of these expenditures is scarce. We aimed to calculate costs in acutely hospitalized older patients and identify patient characteristics that are associated with high post-acute care costs.DesignProspective multicenter cohort study (between October 2015 and June 2017).Setting and participants401 acutely hospitalized older persons from internal medicine, cardiology, and geriatric wards.MeasurementsOur primary outcome was mean post-acute care costs within 90 days postdischarge. Post-acute care costs included costs for unplanned readmissions, home care, nursing home care, general practice, and rehabilitation care. Three costs categories were defined: low [0-50th percentile (p0-50)], moderate (p50-75), and high (p75-100). Multinomial logistic regression analyses were conducted to assess the associations between costs and frailty, functional impairment, health-related quality of life, cognitive impairment, and depressive symptoms.ResultsCosts were distributed unevenly in the population, with the top 10.0% (n = 40) accounting for 52.1% of total post-acute care costs. Mean post-acute care costs were €4035 [standard deviation (SD) 4346] or $4560 (SD 4911). Frailty [odds ratio (OR) 3.44, 95% confidence interval (CI) 1.78-6.63], functional impairment (OR 1.80, 95% CI 1.03-3.16), and poor health-related quality of life (OR 1.89, 95% CI 1.09-3.28) at admission were associated with classification in the high-cost group, compared with the low-cost group.Conclusions/ImplicationsPost-acute care costs are substantial in a small portion of hospitalized older adults. Frailty, functional impairment, and poor health-related quality of life are associated with higher post-acute care costs and may be used as an indicator of such costs in practice.     

Dementia Severity Associated With Increased Risk of Potentially Preventable Readmissions During Home Health Care

ObjectivesApproximately 14% of Medicare beneficiaries are readmitted to a hospital within 30 days of home health care admission. Individuals with dementia account for 30% of all home health care admissions and are at high risk for readmission. Our primary objective was to determine the association between dementia severity at admission to home health care and 30-day potentially preventable readmissions (PPR) during home health care. A secondary objective was to develop a dementia severity scale from Outcome and Assessment Information Set (OASIS) items based on the Functional Assessment Staging Tool (FAST).DesignRetrospective cohort study.Setting and participantsHome health care; 126,292 Medicare beneficiaries receiving home health care (July 1, 2013–June 1, 2015) diagnosed with dementia (ICD-9 codes).Measures30-day PPR during home health care. Dementia severity categorized into 6 levels (nonaffected to severe).ResultsThe overall rate of 30-day PPR was 7.6% [95% confidence interval (CI) 7.4, 7.7] but varied by patient and health care utilization characteristics. After adjusting for sociodemographic and clinical characteristics, the odds ratio (OR) for dementia severity category 6 was 1.37 (95% CI 1.29, 1.46) and the OR for category 7 was 1.94 (95% CI 1.64, 2.31) as compared to dementia severity category 1/2.Conclusions and implicationsDementia severity in the later stages is associated with increased risk for potentially preventable readmissions. Our findings suggest that individuals admitted to home health during the later stages of Alzheimer's disease and related dementias may require greater supports and specialized care to minimize negative outcomes such as readmissions. Development of a dementia severity scale based on OASIS items and the FAST is feasible. Future research is needed to determine effective strategies for decreasing potentially preventable readmissions of individuals with severe dementia who receive home health care. Future research is also needed to validate the proposed dementia severity categories used in this study.     

Comparison between planned and unplanned readmissions to a department of internal medicine

The objective of this study was to assess the respective frequency of planned and unplanned early readmissions after discharge from an internal medicine department, and to identify and compare risk factors for these two types of readmissions. Readmissions within 31 days of discharge were identified as planned or unplanned based on analysis of discharge summaries. Time-failure methods were used to describe the risk of readmissions over time and to assess relationships between patient and index stay characteristics and risk of readmission. Of 5828 patients discharged alive, 730 (12.5%) were readmitted within 31 days. There were slightly more planned than unplanned readmissions (393 vs. 337). The difference in time-to-event functions was significant (P=0.04). The risk of planned readmission was increased for men, younger patients, and for patients discharged with a diagnosis of coronary heart disease, cardiac arrhythmia, and neoplastic disease. Increased risk of unplanned readmission was associated with index length of stay longer than 3 days, an increased number of comorbidities, and with a diagnosis of neoplastic disease. Planned readmissions constitute more than half of early readmissions to our internal medicine department. Therefore, a crude readmission rate is unlikely to be a useful indicator of quality of care. Several patient characteristics influence the risk of unplanned readmission, suggesting that case-mix adjustments are necessary when readmission rates are compared between institutions or tracked over time.