Potentially inappropriate medications and their effect on falls during hospital admission

Talking about falls: a qualitative exploration of spoken communication of patients' fall risks in hospitals and implications for multifactorial approaches to fall prevention

BACKGROUND

Inpatient falls are the most common safety incident reported by hospitals worldwide. Traditionally, responses have been guided by categorising patients' levels of fall risk, but multifactorial approaches are now recommended. These target individual, modifiable fall risk factors, requiring clear communication between multidisciplinary team members. Spoken communication is an important channel, but little is known about its form in this context. We aim to address this by exploring spoken communication between hospital staff about fall prevention and how this supports multifactorial fall prevention practice.

METHODS

Data were collected through semistructured qualitative interviews with 50 staff and ethnographic observations of fall prevention practices (251.25 hours) on orthopaedic and older person wards in four English hospitals. Findings were analysed using a framework approach.

FINDINGS

We observed staff engaging in 'multifactorial talk' to address patients' modifiable risk factors, especially during multidisciplinary meetings which were patient focused rather than risk type focused. Such communication coexisted with 'categorisation talk', which focused on patients' levels of fall risk and allocating nursing supervision to 'high risk' patients. Staff negotiated tensions between these different approaches through frequent 'hybrid talk', where, as well as categorising risks, they also discussed how to modify them.

CONCLUSION

To support hospitals in implementing multifactorial, multidisciplinary fall prevention, we recommend: (1) focusing on patients' individual risk factors and actions to address them (a 'why?' rather than a 'who' approach); (2) where not possible to avoid 'high risk' categorisations, employing 'hybrid' communication which emphasises actions to modify individual risk factors, as well as risk level; (3) challenging assumptions about generic interventions to identify what individual patients need; and (4) timing meetings to enable staff from different disciplines to participate.

Time-dependent association between STOPP and START criteria and gastrointestinal bleeding in older patients using routinely collected primary care data

PURPOSE

Only few studies have assessed the preventive effect of the STOPP/START criteria on adverse events. We aim to quantify 1) the association between nonadherence to STOPP/START criteria and gastrointestinal bleedings, and 2) the association between exposure to the potentially harmful START-medications and gastrointestinal bleedings.

DESIGN

A retrospective cohort study using routinely collected data of patients aged ≥ 65 years from the electronic health records (EHR) of 49 general practitioners (GPs) in 6 GP practices, from 2007 to 2014. The database is maintained in the academic research network database (AHA) of Amsterdam UMC, the Netherlands.

METHODS

Gastrointestinal bleedings were identified using ICPC codes and free text inspections. Three STOPP and six START criteria pertaining to gastrointestinal bleedings were selected. Cox proportional hazards regression with time-dependent covariate analysis was performed to assess the independent association between nonadherence to the STOPP/START criteria and gastrointestinal bleedings. The analysis was performed with all criteria as a composite outcome, as well as separately for the individual criteria.

RESULTS

Out of 26,576 participants, we identified 19,070 Potential Inappropriate Medications (PIM)/Potential Prescribing Omission (PPO) instances for 3,193 participants and 146 gastrointestinal bleedings in 143 participants. The hazard ratio for gastrointestinal bleedings of STOPP/STARTs, taken as composite outcome, was 5.45 (95% CI 3.62-8.21). When analysed separately, two out of nine STOPP/STARTs showed significant associations.

CONCLUSION

This study demonstrates a significant positive association between nonadherence to the STOPP/START criteria and gastrointestinal bleeding. We emphasize the importance of adherence to the relevant criteria for gastrointestinal bleeding, which may be endorsed by decision support systems.

Factors Associated with Acute Injurious Falls in Elderly Hospitalized Patients: A Multicenter Descriptive Study

BACKGROUND

The Centers for Medicare & Medicaid Services Hospital-Acquired Conditions (CMS-HAC) links Medicare payments to health care quality. Experiencing a serious disability or death associated with a fall in a health care facility based on diagnosis codes has been identified as an opportunity for improvement. Multiple factors contribute to an inpatient fall, including medications that affect cognition in older adults. The primary aim of this study was to investigate the effect of the commonly prescribed classes of medications on the CMS-HAC falls and trauma definition in US hospitals in a large inpatient database from 2019 to 2021.

METHODS

The authors analyzed data from 835 hospitals in the Vizient Clinical Data Base between January 1, 2019, and December 31, 2021, on patients ≥ 65 years of age with CMS-HAC patient falls and trauma codes. Using logistic regression and stepwise Poisson regression analysis, the authors identified demographic, clinical, and hospital-related variables associated with falls meeting the CMS-HAC definition. The top 20 prescribed drug classes in these patients were also identified.

RESULTS

Among 11,064,024 patient encounters, 5,978 met the CMS-HAC definition of a serious fall. Patients who experienced a serious fall were significantly more likely to be > 79 years of age (p < 0.001, odds ratio [OR] 1.30, 95% confidence interval [CI] 1.23-1.37), have a history of prior falls (p < 0.001, OR 2.30, 95% CI 2.11-2.50), have a code for dementia (p < 0.001, OR 1.50, 95% CI 1.40-1.60), and have higher anticholinergic cognitive burden (ACB) scores (p < 0.001, OR 1.14, 95% CI 1.13-1.14). Specific medication classes associated with CMS-HAC falls were first-generation antihistamines (p < 0.00, OR 1.21, 95% CI 1.09-1.35), second-generation antihistamines (p ≤ 0.001, OR 1.15, 95% CI 1.13-1.19), and atypical antipsychotics (p < 0.001, OR 1.18, CI 1.13-1.29).

CONCLUSION

Patients who experience a fall meeting the CMS-HAC fall definition are significantly more likely to have a prior history of falling, dementia, and a higher ACB score. Results from this study may inform future quality improvement work aimed at reducing injurious falls.

Association of Primary Care Risk Mitigation Visits and Nonelective Emergency Department Visits in Patients Using Long-term Opioid Therapy

Objective

To determine risk factors for nonelective emergency department visits (NEDVs) and whether primary care visits incorporating risk mitigation tools prevented NEDVs among patients using long-term opioid therapy (LOT).

Patients and Methods

We retrospectively searched the electronic health records at Mayo Clinic primary care outpatient practices in Arizona and Florida in all of 2018 and 2019 for the records of individual adult patients using LOT. Patient and clinician demographic characteristics and patient risk factors were compared between patients with and without risk mitigation visits. Univariate and multivariable logistic regression was used to determine risk factors for NEDVs.

Results

Among 457 patients using LOT identified during the study period, most were women (n=266, 58.2%), and the median age was 69 years. Long-term opioid therapy risk mitigation visits were performed equally by family medicine and internal medicine clinicians and by a significantly higher proportion of Florida clinicians than Arizona clinicians (87.0% vs 70.5%; P<.001). Older age, falls, and mental health care utilization all increased the risk of NEDVs. Risk mitigation visits were protective against NEDVs (odds ratio, 0.56; 95% CI, 0.35-0.89; P=.01) after adjustment for older age, falls, and mental health care utilization.

Conclusion

Risk mitigation visits are effective in preventing NEDVs, and all patients using LOT should have such visits when possible.

Development and Internal Validation of a Prediction Model for Falls Using Electronic Health Records in a Hospital Setting

OBJECTIVE

Fall prevention is important in many hospitals. Current fall-risk-screening tools have limited predictive accuracy specifically for older inpatients. Their administration can be time-consuming. A reliable and easy-to-administer tool is desirable to identify older inpatients at higher fall risk. We aimed to develop and internally validate a prognostic prediction model for inpatient falls for older patients.

DESIGN

Retrospective analysis of a large cohort drawn from hospital electronic health record data.

SETTING AND PARTICIPANTS

Older patients (≥70 years) admitted to a university medical center (2016 until 2021).

METHODS

The outcome was an inpatient fall (≥24 hours of admission). Two prediction models were developed using regularized logistic regression in 5 imputed data sets: one model without predictors indicating missing values (Model-without) and one model with these additional predictors indicating missing values (Model-with). We internally validated our whole model development strategy using 10-fold stratified cross-validation. The models were evaluated using discrimination (area under the receiver operating characteristic curve) and calibration (plot assessment). We determined whether the areas under the receiver operating characteristic curves (AUCs) of the models were significantly different using DeLong test.

RESULTS

Our data set included 21,286 admissions. In total, 470 (2.2%) had a fall after 24 hours of admission. The Model-without had 12 predictors and Model-with 13, of which 4 were indicators of missing values. The AUCs of the Model-without and Model-with were 0.676 (95% CI 0.646-0.707) and 0.695 (95% CI 0.667-0.724). The AUCs between both models were significantly different (P = .013). Calibration was good for both models.

CONCLUSIONS AND IMPLICATIONS

Both the Model-with and Model-without indicators of missing values showed good calibration and fair discrimination, where the Model-with performed better. Our models showed competitive performance to well-established fall-risk-screening tools, and they have the advantage of being based on routinely collected data. This may substantially reduce the burden on nurses, compared with nonautomatic fall-risk-screening tools.

External validation of the Johns Hopkins Fall Risk Assessment Tool in older Dutch hospitalized patients

PURPOSE

Fall prevention is a safety goal in many hospitals. The performance of the Johns Hopkins Fall Risk Assessment Tool (JHFRAT) in older inpatients is largely unknown. We aimed to assess the JHFRAT performance in a large sample of Dutch older inpatients, including its trend over time.

METHODS

We used an Electronic Health Records (EHR) dataset with hospitalized patients (≥ 70), admitted for ≥ 24 h between 2016 and 2021. Inpatient falls were extracted from structured and free-text data. We assessed the association between JHFRAT and falls using logistic regression. For test accuracy, we calculated sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Discrimination was measured by the AUC. For calibration, we plotted the predicted fall probability with the actual probability of falls. For time-related effects, we calculated the AUC per 6 months (using data of patients admitted during the 6 months' time interval) and plotted these different AUC values over time. Furthermore, we compared the model (JHFRAT and falls) with and without adjusting for seasonal influenza, COVID-19, spring, summer, fall or winter periods.

RESULTS

Data included 17,263 admissions with at least 1 JHFRAT measurement, a median age of 76 and a percentage female of 47%. The in-hospital fall prevalence was 2.5%. JHFRAT [OR = 1.11 (1.03-1.20)] and its subcategories were significantly associated with falls. For medium/high risk of falls (JHFRAT > 5), sensitivity was 73%, specificity 51%, PPV 4% and NPV 99%. The overall AUC was 0.67, varying over time between 0.62 and 0.71 (for 6 months' time intervals). Seasonal influenza did affect the association between JHFRAT and falls. COVID-19, spring, summer, fall or winter did not affect the association.

CONCLUSIONS

Our results show an association between JHFRAT and falls, a low discrimination by JHFRAT for older inpatients and over-prediction in the calibration. Improvements in the fall-risk assessment are warranted to improve efficiency.

Detecting Medication Risks among People in Need of Care: Performance of Six Instruments

INTRODUCTION

Numerous tools exist to detect potentially inappropriate medication (PIM) and potential prescribing omissions (PPO) in older people, but it remains unclear which tools may be most relevant in which setting.

OBJECTIVES

This cross sectional study compares six validated tools in terms of PIM and PPO detection.

METHODS

We examined the PIM/PPO prevalence for all tools combined and the sensitivity of each tool. The pairwise agreement between tools was determined using Cohen's Kappa.

RESULTS

We included 226 patients in need of care (median (IQR age 84 (80-89)). The overall PIM prevalence was 91.6 (95% CI, 87.2-94.9)% and the overall PPO prevalence was 63.7 (57.1-69.9%)%. The detected PIM prevalence ranged from 76.5%, for FORTA-C/D, to 6.6% for anticholinergic drugs (German-ACB). The PPO prevalences for START (63.7%) and FORTA-A (62.8%) were similar. The pairwise agreement between tools was poor to moderate. The sensitivity of PIM detection was highest for FORTA-C/D (55.1%), and increased to 79.2% when distinct items from STOPP were added.

CONCLUSION

Using a single screening tool may not have sufficient sensitivity to detect PIMs and PPOs. Further research is required to optimize the composition of PIM and PPO tools in different settings.

Potentially inappropriate medication use and associated factors in residents of long-term care facilities: A nationwide cohort study

Background: Residents in long-term care (LTC) facilities (LTCFs) may have multimorbidity and be unable to self-administer medication. Thus, due to the risk of potentially inappropriate medications (PIMs), epidemiological studies on PIM use and its associated factors should be conducted to ensure safe medication use for residents in LTCFs. Objective: We evaluated PIM use among residents of LTCF and the associated factors in residents of LTCFs in Korea using a nationwide database. Methods: This cross-sectional study used the Korea National Health Insurance Service Senior Cohort (KNHIS-SC) database 2.0 of the National Health Insurance Service (NHIS), a single public insurer in Korea. We analyzed older adults aged ≥65 years who were residents of LTCFs in 2018, using the KNHIS-SC database. The 2019 American Geriatrics Society (AGS) Beers criteria was used for PIM identification. The prevalence of PIM use was defined as the proportion of LTCF residents who received PIM prescriptions at least once. We evaluated the frequency of prescriptions, including PIMs, and determined the most frequently used PIMs. We also conducted a multivariable logistic regression analysis to identify the factors associated with PIM use. Results: The prevalence of PIM among the LTCF residents was 81.6%. The prevalence of PIM was 74.9% for LTC grades 1 or 2 (high dependence) and 85.2% for LTC grades 3-5 (low dependence). Quetiapine was the most frequently prescribed PIM, followed by chlorpheniramine. The low dependence level was significantly associated with PIM use (odds ratio of LTC grades 3-5: 1.49, 95% confidence interval 1.32-1.68, reference: LTC grades 1 or 2); moreover, the number of medical institutions visited, and medications emerged as primary influencing factors. Conclusion: Most LTCF residents were vulnerable to PIM exposure. Furthermore, exposure to PIMs is associated with LTC grade. This result highlights the need for comprehensive medication management of LTCF residents.

Performance of a trigger tool for detecting adverse drug reactions in patients with polypharmacy acutely admitted to the geriatric ward

Aim

To investigate the performance of an adverse drug reaction (ADR) trigger tool in patients with polypharmacy acutely admitted to our geriatric ward.

Findings

The ADR trigger tool had a positive predictive value (PPV) of 41.8%. Usual care recognised 83.5% of ADRs considered as possible, probable or certain, increasing to 97.1% when restricted to probable and certain ADRs.

Message

It is unlikely that implementation of the ADR trigger tool will improve detection of unrecognised ADRs in older patients acutely admitted to our geriatric ward.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41999-022-00649-x.

Purpose

Adverse drug reactions (ADRs) account for 10% of acute hospital admissions in older people, often under-recognised by physicians. The Dutch geriatric guideline recommends screening all acutely admitted older patients with polypharmacy with an ADR trigger tool comprising ten triggers and associated drugs frequently causing ADRs. This study investigated the performance of this tool and the recognition by usual care of ADRs detected with the tool.

Methods

A cross-sectional study was performed in patients ≥ 70 years with polypharmacy acutely admitted to the geriatric ward of the University Medical Centre Utrecht. Electronic health records (EHRs) were screened for trigger–drug combinations listed in the ADR trigger tool. Two independent appraisers assessed causal probability with the WHO-UMC algorithm and screened EHRs for recognition of ADRs by attending physicians. Performance of the tool was defined as the positive predictive value (PPV) for ADRs with a possible, probable or certain causal relation.

Results

In total, 941 trigger–drug combinations were present in 73% (n = 253/345) of the patients. The triggers fall, delirium, renal insufficiency and hyponatraemia covered 86% (n = 810/941) of all trigger–drug combinations. The overall PPV was 41.8% (n = 393/941), but the PPV for individual triggers was highly variable ranging from 0 to 100%. Usual care recognised the majority of ADRs (83.5%), increasing to 97.1% when restricted to possible and certain ADRs.

Conclusion

The ADR trigger tool has predictive value; however, its implementation is unlikely to improve the detection of unrecognised ADRs in older patients acutely admitted to our geriatric ward. Future research is needed to investigate the tool’s clinical value when applied to older patients acutely admitted to non-geriatric wards.

Supplementary Information

The online version contains supplementary material available at 10.1007/s41999-022-00649-x.

Prevalence and Predictors of Potentially Inappropriate Medications Among Patients Aged ≥65 Years on Hospital Admissions in Kuwait

BACKGROUND

Potentially inappropriate medications are major health concerns for patients aged ≥65 years. To investigate the prevalence of potentially inappropriate medications, Beer's criteria can be used. We estimated the prevalence of potentially inappropriate medications prescription among patients aged ≥65 years admitted to Kuwait's largest hospital and identified the predictors of prescribing a potentially inappropriate medication.

METHODS

A cross-sectional study was conducted retrospectively using inpatient records from the medical department at the Hospital in Kuwait from 1 January 2019 to 31 December 2019. The latest version of Beer's criteria was used to identify potentially inappropriate medications in patients' medical records. Data were analyzed descriptively to estimate the prevalence of potentially inappropriate medications and to describe participant characteristics. The predictors of potentially inappropriate medications prescribing were determined using binary logistic regression.

RESULTS

A total of 423 medical records of patients were collected. The mean age of the patients admitted was 76 ± 7 years, and 222 of them (52.5%) were women. Upon hospital admission, potentially inappropriate medication was prevalent in 58.4% of patients. The most prevalent potentially inappropriate medications identified were proton pump inhibitors (27.3%), diuretics (21.5%), antipsychotic agents (9%), selective serotonin reuptake inhibitors (5%), and methyldopa (4%). Polypharmacy, Alzheimer's disease, depression, irritable bowel syndrome, hypothyroidism, chronic kidney disease were predictors of potentially inappropriate medications prescription.

CONCLUSION

A high prevalence of potentially inappropriate medication prescription was observed among patients aged ≥65 years admitted to a hospital in Kuwait. The most likely predictor of potentially inappropriate medication prescription was polypharmacy.