Does Increased Medication Use among Seniors Increase Risk of Hospitalization and Emergency Department Visits?

The impact of team-based primary care on medication-related outcomes in older adults: A comparative analysis of two Canadian provinces

Objective

To evaluate if access to team-based primary care is related to medication management outcomes for older adults.

Methods

We completed two retrospective cohort studies using administrative health data for older adults (66+) in Ontario (n = 428,852) and Québec (n = 310,198) who were rostered with a family physician (FP) between the 2001/02 and 2017/18 fiscal years. We generated matched comparison groups of older adults rostered to an FP practicing in a team-based model, and older adults rostered to an FP in a non-team model. We compared the following outcomes between these groups: any adverse drug reactions (ADRs), any potentially inappropriate prescription (PIP), and polypharmacy. Average treatment effects of access to team-based care were estimated using a difference-in-differences estimator.

Results

The risk of an ADR was 22 % higher (RR = 1.22, 95 % CI = 1.18, 1.26) for older adults rostered to a team-based FP in Québec and 6 % lower (RR = 0.943, 95 % CI = 0.907, 0.978) in Ontario. However, absolute risk differences were less than 0.5 %. Differences in the risk of polypharmacy were small in Québec (RR = 1.005, 95 % CI = 1.001, 1.009) and Ontario (RR = 1.004, 95 % CI = 1.001, 1.007) and had absolute risk differences of less than 1 % in both provinces. Effects on PIP were not statistically or clinically significant in adjusted models.

Interpretation

We did not find evidence that access to team-based primary care in Ontario or Québec meaningfully improved medication management outcomes for older adults.

Team-based primary care reforms and older adults: a descriptive assessment of sociodemographic trends and prescribing endpoints in two Canadian provinces

BACKGROUND

Team-based primary care reforms aim to improve care coordination by involving multiple interdisciplinary health professionals in patient care. Team-based primary care may support improved medication management for older adults with polypharmacy and multiple points of contact with the healthcare system. However, little is known about this association. This study compares sociodemographic and prescribing trends among older adults in team-based vs. traditional primary care models in Ontario and Quebec.

METHODS

We constructed two provincial cohorts using population-level health administrative data from 2006-2018. Our primary exposure was enrollment in a team-based model of care. Key endpoints included adverse drug events (ADEs), potentially inappropriate prescriptions (PIPs), and polypharmacy. We plotted prescribing trends across the observation period (stratified by model of care) in each province. We used standardized mean differences to compare characteristics of older adults and providers, as well as prescribing endpoints.

RESULTS

Formal patient/physician enrollment increased in both provinces since the time of policy implementation; team-based enrollment among older adults was higher in Quebec (47%) than Ontario (33%) by the end of our observation period. The distribution of sociodemographic characteristics was reasonably comparable between team-based and non-team-based patients in both provinces, aside from a persistently higher share of rural patients in team-based care. Most PIPs assessed either declined or remained relatively steady over time, regardless of model of care and province. Several PIPs were more common among team-based patients than non-team-based patients, particularly in Quebec. We did not detect notable trends in ADEs or polypharmacy in either province.

CONCLUSIONS

Our findings offer encouraging evidence that many PIPs are declining over time in this population, regardless of patients' enrollment in team-based care. Rates of decline appear similar across models of care, suggesting these models may not meaningfully influence prescribing endpoints. Additional efforts are needed to understand the impact of team-based care among older adults and improve primary care prescribing practices.

Using soluble urokinase plasminogen activator receptor to stratify patients for medication review in the emergency department

AIMS

To investigate whether the association between levels of medication use (including polypharmacy and potentially inappropriate medications [PIMs]) and health outcomes such as readmission and mortality is dependent on baseline soluble urokinase plasminogen activator receptor (suPAR).

METHODS

This registry-based cohort study included medical patients admitted to the emergency department at Copenhagen University Hospital Hvidovre, Denmark. Patients were grouped according to their admission suPAR levels: low (0-3 ng/mL), intermediate (3-6 ng/mL), or high (>6 ng/mL). Hyper-polypharmacy was defined as ≥10 prescribed medications. PIMs were identified based on the EU(7)-PIM list, and data on admissions and mortality were obtained from national registries. Risk of 90-day readmission and mortality was assessed by Cox regression analysis adjusted for sex, age and Charlson comorbidity index. Results were reported as hazard ratios within 90 days of index discharge.

RESULTS

In total, 26 291 patients (median age 57.3 y; 52.7% female) were included. Risk of 90-day readmission and mortality increased significantly for patients with higher suPAR or higher number of medications. Among patients with low suPAR, patients with ≥10 prescribed medications had a hazard ratio of 2.41 (95% confidence interval = 2.09-2.78) for 90-day readmission and 8.46 (95% confidence interval = 2.53-28.28) for 90-day mortality compared to patients with 0 medications. Patients with high suPAR generally had high risk of readmission and mortality, and the impact of medication use was less pronounced in this group. Similar, but weaker, association patterns were observed between suPAR and PIMs.

CONCLUSION

The association between levels of medication use and health outcomes is dependent on baseline suPAR.

Comparing public policies impacting prescribing and medication management in primary care in two Canadian provinces

The challenges of polypharmacy and inappropriate prescribing are recognized internationally. This study synthesizes and compares the policies related to these issues introduced in Canada's two most populous provinces - Ontario and Quebec - over the first two decades of the 21st century. Drawing on policy documents and consultations with experts, we found that while medication management to address polypharmacy and inappropriate prescribing has not been an explicit and consistent policy target in either province, some policy changes sought to directly or indirectly impact medication management. These changes include the introduction of primary care teams that include pharmacists, the introduction of a medication review performed by pharmacists (in Ontario), increased emphasis on quality improvement with some attention to potentially inappropriate medications (specifically opioids in Ontario), and investments in information technology to improve communication across providers and move toward electronic prescribing to improve medication safety and appropriateness. Despite growing evidence of the problem of polypharmacy and inappropriate prescribing, there has been limited policy attention targeting these problems directly, and policy changes with potential to improve prescribing and medication management may not have been fully realized. Further research to evaluate the impact of these changes on provider behaviours, and on patient outcomes, warrants attention.

Impact Analysis of a Pharmacist-Led Home-Medication Review Service Within an interprofessional Outreach Team

OBJECTIVE

To describe the demographic and clinical characteristics of frail and homebound communitydwelling older patients receiving a home medication review (HMR) conducted by a home-visiting pharmacist; the types of drug therapy problems (DTPs) that were identified; the types of clinical interventions being recommended and their implementation rate.

DESIGN

Retrospective, cross-sectional chart-review study using data from patient records.

SETTING

Homes of patients receiving a HMR by a community pharmacy-based consulting home-visiting pharmacist.

PATIENTS

171 patients received a HMR between January 1, 2016, and May 31, 2018.

INTERVENTION

Patients received a comprehensive HMR by a home-visiting pharmacist working as a member of an interprofessional geriatrics team.

MAIN OUTCOME MEASURES

Charlson Comorbidity Index (CCI) score, comorbidities, use of potentially inappropriate medications, DTPs identified, number and type of clinical interventions being recommended and successfully implemented.

RESULTS

Patients had a mean age of 81 years (range: 54-100 years), majority were 65 years of age or older (95%), and female (59%). Fifty-three percent of patients had a CCI score of 1 to 2, and 93.6% were experiencing multi-morbidity and polypharmacy. Patients used an average of 13.0 medications, and 76.1% were found to be using at least 1 potentially inappropriate medication. In total, the home-visiting pharmacist identified 827 DTPs and made 1088 recommendations with a successful implementation rate of 74%.

CONCLUSIONS

Frail and homebound communitydwelling older adults referred for a HMR were observed to be using a high number of medications with a significant number of DTPs identified. Offering HMRs was an effective method for a community-based pharmacist to make acceptable recommendations to optimize medication therapy management for frail older patients.

A systematic review examining the characteristics of users of NHS patient medicines helpline services, and the types of enquiries they make

BACKGROUND AND OBJECTIVE

Patient medicines helpline services (PMHS) are available from some National Health Service Trusts in the UK to support patients following their discharge from hospital. The aim of this systematic review was to examine the available evidence regarding the characteristics of enquirers and enquiries to PMHS, in order to develop recommendations for service improvement.

METHODS

Searches were conducted using Medline, Embase, Cumulative Index of Nursing and Allied Health Literature, Scopus, and Web of Science, on 4 June 2019. Forward and backward citation searches were conducted, and grey literature was searched. Studies were included if they reported any characteristics of enquirers who use PMHS, and/or enquiries received. Study quality was assessed using the Axis tool. A narrative synthesis was conducted, and where appropriate, weighted means (WMs) were calculated. Where possible, outcomes were compared with Hospital Episode Statistics (HES) data for England, to establish whether the profile of helpline users may differ to that of hospital patients.

RESULTS

Nineteen studies were included (~4362 enquiries). Risk of bias from assessed studies was 71%. Enquirers were predominantly female (WM=53%; HES mean=57%), elderly (WM=69 years; HES mean=53 years) and enquired regarding themselves (WM=72%). Out of inpatient and outpatient enquirers, 50% were inpatients and 50% were outpatients (WM). Six of 15 studies reported adverse effects as the main enquiry reason. Two of four studies reported antimicrobial drugs as the main enquiry drug class. From two studies, the main clinical origin of enquiries were general surgery and cardiology. Across six studies, 27% (WM) of enquiries concerned medicines-related errors.

CONCLUSIONS

Our findings show that PMHS are often used by elderly patients, which is important since this group may be particularly vulnerable to experiencing medicines-related issues following hospital discharge. Over a quarter of enquiries to PMHS may concern medicines-related errors, suggesting that addressing such errors is an important function of this service. However, our study findings may be limited by a high risk of bias within included studies. Further research could provide a more detailed profile of helpline users (eg, ethnicity, average number of medicines consumed), and we encourage helpline providers to use their enquiry data to conduct local projects to improve hospital services (eg, reducing errors).

PROSPERO REGISTRATION NUMBER

CRD42018116276.

Predictors of unplanned hospitalisation in the older population: The role of polypharmacy and other medication and chronic disease-related factors

OBJECTIVE

To identify demographic and medication-related predictors of unplanned hospitalisation and combine them into a hospitalisation risk score.

METHODS

Patients aged ≥65 years from an outpatient multimorbidity clinic were included. Hospitalisation predictors within a year of clinic discharge were identified using logistic regression. A risk score was developed. The area under the curve (AUC) was used to assess its predictive ability, compared to that of the medicines count (definition of polypharmacy).

RESULTS

A total of 598 patients were included (median age of 80.0 years). 58.0% (n = 347) were hospitalised within a year of clinic discharge. The AUC for the risk score incorporating age, medicines count, heart failure (HF), atherosclerotic disease and systemic steroids was 0.67 [95% CI 0.62-0.71], compared to 0.62 [95% CI 0.58-0.67] for the medicines count.

CONCLUSION

A hospitalisation risk score incorporating demographics, medicines, namely steroids, and diseases such as HF had increased predictive ability compared to the medicines count, providing guidance for developing future polypharmacy tools.

A Proxy-Based Solution for Asynchronous Telemedical Systems

Asynchronous telemedicine systems face many challenges related to information security as the patient's sensitive information and data on medicine dosage is transmitted over a network when monitoring patients and controlling asynchronous telemedical IoT devices. This information may be modified or spied on by a malicious adversary. To make asynchronous telemedicine systems more secure, the authors present a proxy-based solution against data modification and spying attacks in web-based telemedical applications. By obfuscating the executable code of a web application and by continuously dynamically changing obfuscation, the authors' solution makes it more difficult for a piece of malware to attack its target. They use a constructive research approach. They characterize the threat and present an outline of a proposed solution. The benefits and limitations of the proposed solution are discussed. Cyber-attacks targeted at the information related to patient's care are a serious threat in today's telemedicine. If disregarded, these attacks have negative implications on patient safety and quality of care.