Patient- and health care-related factors associated with initiation of potentially inappropriate medication in community-dwelling older persons

Potentially inappropriate prescribing (PIP) in older people and its association with socioeconomic deprivation-a systematic review and narrative synthesis

BACKGROUND

Potentially inappropriate prescribing (PIP) refers to the prescription of medications that carry a higher risk of adverse outcomes, such as drug interactions, falls, and cognitive impairment. PIP is of particular concern in older adults, and is associated with increased morbidity, mortality, and healthcare costs. Socioeconomic deprivation has been identified as a potential risk factor for PIP. However, the extent of this relationship remains unclear. This review aimed to synthesize the current literature on the association between PIP and socioeconomic status (SES) in older adults.

METHODS

A literature search was conducted using the databases Medline, Embase and CINAHL. A search strategy was developed to capture papers examining three key concepts: PIP, socioeconomic deprivation and older/elderly populations. Peer-reviewed quantitative research published between 1/1/2000 and 31/12/2022 was eligible for inclusion.

RESULTS

Twenty articles from 3,966 hits met the inclusion criteria. The sample size of included studies ranged from 668 to 16.5million individuals, with the majority from Europe (n = 8) and North America (n = 8). Most defined older patients as being 65 or over (n = 12) and used income (n = 7) or subsidy eligibility (n = 5) to assess SES. In all, twelve studies reported a statistically significant association between socioeconomic deprivation and an increased likelihood of experiencing PIP. Several of these reported some association after adjusting for number of drugs taken, or the presence of polypharmacy. The underlying reasons for the association are unclear, although one study found that the association between deprivation and higher PIP prevalence could not be explained by poorer access to healthcare facilities or practitioners.

CONCLUSION

The findings suggest some association between an older person's SES and their likelihood of being exposed to PIP. SES appears to be one of several factors that act independently and in concert to influence an older person's likelihood of experiencing PIP. This review highlights that prioritising older people living in socioeconomically-deprived circumstances may be an efficient strategy when carrying out medication reviews.

Are there socioeconomic inequalities in polypharmacy among older people? A systematic review and meta-analysis

BACKGROUND

Socioeconomic status (SES) may influence prescribing, concordance and adherence to medication regimens. This review set out to investigate the association between polypharmacy and an individual's socioeconomic status.

METHODS

A systematic review and meta-analyses of observational studies was conducted across four databases. Older people (≥ 55 years) from any healthcare setting and residing location were included. The search was conducted across four databases: Medline (OVID), Web of Science, Embase (OVID) and CINAHL. Observational studies from 1990 that reported polypharmacy according to SES were included. A random-effects model was undertaken comparing those with polypharmacy (≥ 5 medication usage) with no polypharmacy. Unadjusted odds ratios (ORs), 95% confidence intervals (CIs) and standard errors (SE) were calculated for each study.

RESULTS

Fifty-four articles from 13,412 hits screened met the inclusion criteria. The measure of SES used were education (50 studies), income (18 studies), wealth (6 studies), occupation (4 studies), employment (7 studies), social class (5 studies), SES categories (2 studies) and deprivation (1 study). Thirteen studies were excluded from the meta-analysis. Lower SES was associated with higher polypharmacy usage: individuals of lower educational backgrounds displayed 21% higher odds to be in receipt of polypharmacy when compared to those of higher education backgrounds. Similar findings were shown for occupation, income, social class, and socioeconomic categories.

CONCLUSIONS

There are socioeconomic inequalities in polypharmacy among older people, with people of lower SES significantly having higher odds of polypharmacy. Future work could examine the reasons for these inequalities and explore the interplay between polypharmacy and multimorbidity.

Regional variations in excessive polypharmacy and potentially inappropriate drug use among older adults in Sweden: Trends from 2006 to 2020

Introduction: Potentially inappropriate drug use (PID) is common among older adults. Cross-sectional data suggest that there are marked regional variations in PID in Sweden. There is, however, a lack of knowledge about how the regional variations have changed over time. Objectives: This study aimed to investigate the regional differences in the prevalence of PID in Sweden, 2006-2020. Methods: In this repeated cross-sectional study, we included all older adults (≥75 years) registered in Sweden, yearly from 2006 to 2020. We used nationwide data from the Swedish Prescribed Drug Register linked at the individual level to the Swedish Total Population Register. We selected three indicators of PID according to the Swedish national "Quality indicators for good drug therapy in the elderly": 1) Excessive polypharmacy (use of ≥10 drugs); 2) Concurrent use of three or more psychotropic drugs; 3) Use of "drugs that should be avoided in older adults unless specific reasons exist." The prevalence of these indicators was calculated for each of Sweden's 21 regions, yearly from 2006 to 2020. The annual coefficient of variation (CV) was calculated for each indicator by dividing the standard deviation of the regions by the national average, to measure relative variability. Results: In the population of about 800,000 older adults per year, the national prevalence of "drugs that should be avoided in older adults," was reduced by 59% from 2006 to 2020. There was a slight decline in the use of three or more psychotropics, while the prevalence of excessive polypharmacy increased. The CV for excessive polypharmacy was 14% in 2006 and 9% in 2020 compared to 18% and 14% for "use of three or more psychotropics", and stable at around 10% for 'drugs that should be avoided in older adults.' Conclusions: The regional variation in potentially inappropriate drug use decreased or were stable from 2006 to 2020. The regional differences were largest for the use of three or more psychotropics. We found a general tendency that regions with a good performance at the start of the period performed well across the entire period. Future studies should investigate the reasons for regional variation and explore strategies to reduce unwarranted differences.

A machine learning-based risk warning platform for potentially inappropriate prescriptions for elderly patients with cardiovascular disease

Potentially inappropriate prescribing (PIP), including potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs), is a major risk factor for adverse drug reactions (ADRs). Establishing a risk warning model for PIP to screen high-risk patients and implementing targeted interventions would significantly reduce the occurrence of PIP and adverse drug events. Elderly patients with cardiovascular disease hospitalized at the Sichuan Provincial People’s Hospital were included in the study. Information about PIP, PIM, and PPO was obtained by reviewing patient prescriptions according to the STOPP/START criteria (2nd edition). Data were divided into a training set and test set at a ratio of 8:2. Five sampling methods, three feature screening methods, and eighteen machine learning algorithms were used to handle data and establish risk warning models. A 10-fold cross-validation method was employed for internal validation in the training set, and the bootstrap method was used for external validation in the test set. The performances were assessed by area under the receiver operating characteristic curve (AUC), and the risk warning platform was developed based on the best models. The contributions of features were interpreted using SHapley Additive ExPlanation (SHAP). A total of 404 patients were included in the study (318 [78.7%] with PIP; 112 [27.7%] with PIM; and 273 [67.6%] with PPO). After data sampling and feature selection, 15 datasets were obtained and 270 risk warning models were built based on them to predict PIP, PPO, and PIM, respectively. External validation showed that the AUCs of the best model for PIP, PPO, and PIM were 0.8341, 0.7007, and 0.7061, respectively. The results suggested that angina, number of medications, number of diseases, and age were the key factors in the PIP risk warning model. The risk warning platform was established to predict PIP, PIM, and PPO, which has acceptable accuracy, prediction performance, and potential clinical application perspective.

The patterns and implications of potentially suboptimal medicine regimens among older adults: a narrative review

In the context of an ageing population, the burden of disease and medicine use is also expected to increase. As such, medicine safety and preventing avoidable medicine-related harm are major public health concerns, requiring further research. Potentially suboptimal medicine regimens is an umbrella term that captures a range of indicators that may increase the risk of medicine-related harm, including polypharmacy, underprescribing and high-risk prescribing, such as prescribing potentially inappropriate medicines. This narrative review aims to provide a background and broad overview of the patterns and implications of potentially suboptimal medicine regimens among older adults. Original research published between 1990 and 2021 was searched for in MEDLINE, using key search terms including polypharmacy, inappropriate prescribing, potentially inappropriate medication lists, medication errors, drug interactions and drug prescriptions, along with manual checking of reference lists. The review summarizes the prevalence, risk factors and clinical outcomes of polypharmacy, underprescribing and potentially inappropriate medicines. A synthesis of the evidence regarding the longitudinal patterns of polypharmacy is also provided. With an overview of the existing literature, we highlight a number of key gaps in the literature. Directions for future research may include a longitudinal investigation into the risk factors and outcomes of extended polypharmacy, research focusing on the patterns and implications of underprescribing and studies that evaluate the applicability of tools measuring potentially inappropriate medicines to study settings.

A machine learning-based risk warning platform for potentially inappropriate prescriptions for elderly patients with cardiovascular disease

Potentially inappropriate prescribing (PIP), including potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs), is a major risk factor for adverse drug reactions (ADRs). Establishing a risk warning model for PIP to screen high-risk patients and implementing targeted interventions would significantly reduce the occurrence of PIP and adverse drug events. Elderly patients with cardiovascular disease hospitalized at the Sichuan Provincial People's Hospital were included in the study. Information about PIP, PIM, and PPO was obtained by reviewing patient prescriptions according to the STOPP/START criteria (2nd edition). Data were divided into a training set and test set at a ratio of 8:2. Five sampling methods, three feature screening methods, and eighteen machine learning algorithms were used to handle data and establish risk warning models. A 10-fold cross-validation method was employed for internal validation in the training set, and the bootstrap method was used for external validation in the test set. The performances were assessed by area under the receiver operating characteristic curve (AUC), and the risk warning platform was developed based on the best models. The contributions of features were interpreted using SHapley Additive ExPlanation (SHAP). A total of 404 patients were included in the study (318 [78.7%] with PIP; 112 [27.7%] with PIM; and 273 [67.6%] with PPO). After data sampling and feature selection, 15 datasets were obtained and 270 risk warning models were built based on them to predict PIP, PPO, and PIM, respectively. External validation showed that the AUCs of the best model for PIP, PPO, and PIM were 0.8341, 0.7007, and 0.7061, respectively. The results suggested that angina, number of medications, number of diseases, and age were the key factors in the PIP risk warning model. The risk warning platform was established to predict PIP, PIM, and PPO, which has acceptable accuracy, prediction performance, and potential clinical application perspective.

[Adverse Drug Reactions in Geriatric Psychiatric Patients - Influence of Potentially Inappropriate Drugs]

OBJECTIVE

The purpose of this study was to examine the extent to which "potentially inappropriate drugs" (PID) are associated with an increased risk for adverse drug reactions (ADR).

METHODS

Data from 304 geriatric psychiatric inpatients was collected. Medical documentation was used to find indications of ADRs. Causal relationship between the ADR and the prescribed drugs was assessed by experts.

RESULTS

Almost 30 % of patients received ≥ 1 PID before admission to hospital, in comparison to 22 % at discharge. Increasing number of total prescriptions and the diagnosis of schizophrenia resulted in an increased risk for receiving ≥ 1 PID. Higher age and dementia were protective factors. Patients receiving ≥ 1 PID had a 5-fold increased risk of experiencing ≥ 1 ADR. Risk for an ADR increased with number of PID prescriptions. Patients treated with ≥ 1 PID had a 4-fold increased risk of experiencing severe ADRs. Risk for severe ADRs was 10-fold higher in patients treated with ≥ 2 PIDs.

CONCLUSION

The PRISCUS list predicts significant risk factors for the occurrence of ADRs in the geriatric psychiatric setting.

Prevalence and Predictors of Potentially Inappropriate Medication Prescription Among Older Adults: A Cross-Sectional Study in the State of Qatar

BACKGROUND

Potentially inappropriate medications (PIMs) often lead to sub-optimal or poor health outcomes in older adults.

OBJECTIVE

The objective of this study was to determine the prevalence and predictors of PIM prescription among older adults in Qatar.

PATIENTS AND METHODS

This was a cross-sectional, retrospective study using data from the electronic medical records of Qatari patients (age ≥ 65 years) attending the 23 primary healthcare (PHC) centers in Qatar from April 1, 2017 to September 30, 2017. PIMs were identified based on the Beers 2015 criteria: (1) medications to avoid for many or most older adults, and (2) medications to be used with caution in older adults. Descriptive statistics were used to estimate the prevalence of PIM prescription; multivariable logistic regression analysis was performed to identify predictors of PIM prescription among the study population.

RESULTS

5639 older adults were included with a mean age of 72.8 (± 6.5) years; 53.8% were females. The prevalence of PIMs that should be avoided was 60.7%, with the most prevalent ones being gastrointestinal (84.2%), pain (49.9%), and central nervous system (10.4%) drugs. Most patients (61.1%) were prescribed one PIM, 26.9% two PIMs, and 12.0% three or more PIMs. The prevalence of PIMs that should be used with caution was 40.6%, with diuretics (83.1%), antidepressants (25.7%), and antiplatelets (18.3%) as the most prevalent drug classes. Multivariable logistic regression showed female gender, polypharmacy, and certain comorbidities to be significant predictors of PIM prescription.

CONCLUSIONS

Older adults attending Qatar's 23 PHC centers are prescribed a high number of PIMs. Because of the high risk of PIM prescription, the practice of medication reconciliation should be strengthened and reinforced.

A Systematic Review of Studies of the STOPP/START 2015 and American Geriatric Society Beers 2015 Criteria in Patients ≥ 65 Years

BACKGROUND

Polypharmacy remains problematic for individuals ≥65.

OBJECTIVE

To summarise the percentages of patients meeting 2015 STOPP criteria for Potentially Inappropriate Prescriptions (PIPs), 2015 Beers criteria for Potentially Inappropriate Medications (PIMs), and START criteria Potential Prescribing Omissions (PPOs).

METHODS

Searches conducted on 2 January 2019 in Medline, Embase, and PubMed identified 562 studies and 62 studies were retained for review. Data were abstracted independently.

RESULTS

62 studies (n=1,854,698) included two RCTs and 60 non-randomised studies. For thirty STOPP/START studies (n=1,245,974) average percentages for ≥1 PIP weighted by study size were 42.8% for 1,242,010 community patients and 51.8% for 3,964 hospitalised patients. For nineteen Beers studies (n = 595,811) the average percentages for ≥1 PIM were 58% for 593,389 community patients and 55.5% for 2,422 hospitalised patients. For thirteen studies (n=12,913) assessing both STOPP/START and Beers criteria the average percentages for ≥1 STOPP PIP were 33.9% and Beers PIMs 46.8% for 8,238 community patients, and for ≥ 1 STOPP PIP were 42.4% and for ≥1 Beers PIM 60.5% for 4,675 hospitalised patients. Only ten studies assessed changes over time and eight found positive changes.

CONCLUSION

PIP/PIM/PPO rates are high in community and hospitalised patients in many countries. RCTs are needed for interventions to: reduce new/existing PIPs/PIMs/PPO prescriptions, reduce prescriptions causing adverse effects, and enable regulatory authorities to monitor and reduce inappropriate prescriptions in real time. Substantial differences between Beers and STOPP/START assessments need to be investigated whether they are due to the criteria, differential medication availability between countries, or data availability to assess the criteria.