Medication appropriateness criteria for older adults: a narrative review of criteria and supporting studies

Effectiveness and Experiences of Quality Improvement Interventions in Older Adult Care: Protocol for a Mixed Methods Systematic Review

BACKGROUND

Quality improvement (QI) interventions are designed to resolve the recurring challenges of care for older individuals, such as working conditions for staff, roles of older individuals in their own care and their families, and relevant stakeholders. Therefore, there is a need to map the impacts of QI interventions in older adult care settings and further improve health and social care systems associated with older adults.

OBJECTIVE

This review aims to compile and synthesize the best available evidence regarding the effectiveness of policy and practice QI interventions in older adult care. The secondary aim is to understand the care of older individuals and QI intervention-related experiences and perspectives of stakeholders, care providers, older individuals, and their families.

METHODS

The mixed methods review will follow the standard methodology used by Joanna Briggs Institute. The published studies will be searched through CINAHL, MEDLINE, PsycINFO, ASSIA, and Web of Science, and the unpublished studies through Mednar, Trove, OCLC WorldCat, and Dissertations and Theses. This review included both qualitative and quantitative analyses of patients undergoing older adult care and any health and care professionals involved in the care delivery for older adults; a broad range of QI interventions, including assistive technologies, effects of training and education, improved reporting, safety programs, and medical devices; the experiences and perspectives of staff and patients; the context of older adult care setting; and a broad range of outcomes, including patient safety. The standard procedure for reporting, that is, PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, will be followed.

RESULTS

A result-based convergent synthesis design will be used in which both quantitative and qualitative studies will be analyzed separately, and the results of both syntheses will be then integrated during a final (convergent) synthesis. The integration will compare the findings of quantitative and qualitative evidence using tables in light of the results of both syntheses.

CONCLUSIONS

This comprehensive review is expected to reflect on the insights into some QI interventions and their impact, outline some common challenges of quality for older adult care, and benefit both the practical usefulness of care service activities and the society at large.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/56346.

Deprescribing, shared decision-making, and older people: perspectives in primary care

Polypharmacy is an issue that affects many people, especially older adults, and could result in negative outcomes such as lower medication adherence and an increase in the likelihood of adverse drug reactions. Deprescribing is a possible solution to mitigating this issue. Examining polypharmacy and deprescribing in primary care settings is important as it could help older adults living in the community and their relatives by lowering their treatment burden and medication cost. Some guidelines have been developed to help with the deprescribing process; however, these guidelines are not applicable to all patients and situations. Thus, the deprescribing process needs to be based mainly on the patient's current situations, preferences, and values and this could be achieved using shared decision-making. However, some barriers slow down the process to deprescribe in primary care settings and measures should be taken to overcome these barriers. This review aims to examine the current situation of deprescribing, especially in primary care settings, and how SDM can be used to optimize the deprescribing process. To achieve this an illustration using one prominent model in SDM and one prominent model in deprescribing will be presented to showcase how SDM can be used in the deprescribing process.

TOP-PIC: a new tool to optimize pharmacotherapy and reduce polypharmacy in patients with incurable cancer

PURPOSE

Polypharmacy is a significant problem in patients with incurable cancer and a method to optimize pharmacotherapy in this patient group is lacking. Therefore, a drug optimization tool was developed and tested in a pilot test.

METHODS

A multidisciplinary team of health professionals developed a "Tool to Optimize Pharmacotherapy in Patients with Incurable Cancer" (TOP-PIC) for patients with a limited life expectancy. The tool consists of five sequential steps to optimize medications, including medication history, screening for medication appropriateness and drug interactions, a benefit-risk assessment using the TOP-PIC Disease-based list, and shared decision-making with the patient. For pilot testing of the tool, 8 patient cases with polypharmacy were analyzed by 11 oncologists before and after training with the TOP-PIC tool.

RESULTS

TOP-PIC was considered helpful by all oncologists during the pilot test. The median additional time required to administer the tool was 2 min per patient (P < 0.001). For 17.4% of all medications, different decisions were made by using TOP-PIC. Among possible treatment decisions (discontinuation, reduction, increase, replacement, or addition of a drug), discontinuation of medications was the most common. Without TOP-PIC, physicians were uncertain in 9.3% of medication changes, compared with only 4.8% after using TOP-PIC (P = 0.001). The TOP-PIC Disease-based list was considered helpful by 94.5% of oncologists.

CONCLUSIONS

TOP-PIC provides a detailed, disease-based benefit-risk assessment with recommendations specific for cancer patients with limited life expectancy. Based on the results of the pilot study, the tool seems practicable for day-to-day clinical decision-making and provides evidence-based facts to optimize pharmacotherapy.

Development of REDCap-based architecture for a clinical decision support tool linked to the electronic health record for assessment of medication appropriateness

Objective

To develop the architecture for a clinical decision support system (CDSS) linked to the electronic health record (EHR) using the tools provided by Research Electronic Data Capture (REDCap) to assess medication appropriateness in older adults with polypharmacy.

Materials and Methods

The tools available in REDCap were used to create the architecture for replicating a previously developed stand-alone system while overcoming its limitations.

Results

The architecture consists of data input forms, drug- and disease-mapper, rules engine, and report generator. The input forms integrate medication and health condition data from the EHR with patient assessment data. The rules engine evaluates medication appropriateness through rules built through a series of drop-down menus. The rules generate output, which are a set of recommendations to the clinician.

Discussion and conclusion

This architecture successfully replicates the stand-alone CDSS while addressing its limitations. It is compatible with several EHRs, easily shared among the large community using REDCap, and readily modifiable.

Recent Updates on Risk and Management Plans Associated with Polypharmacy in Older Population

The concept of polypharmacy encompasses adverse drug reactions and non-adherence factors in elderly individuals. It also leads to the increased use of healthcare services and negative health outcomes. The problem is further alleviated by the odds of potentially inappropriate medications (PIM), which lead to the development of drug-related problems. Since polypharmacy is more commonly observed in the elderly population, urgency is required to introduce operative protocols for preventing and managing this problem. The family medicine model of care can be associated with favorable illness outcomes regarding satisfaction with consultation, treatment adherence, self-management behaviors, adherence to medical advice, and healthcare utilization. Hence, interventions built on family medicine models can provide significant support in improving the outcomes of the older population and their quality of life. In this regard, the authors have taken up the task of explaining the accessible resources which can be availed to improve the application of health care services in the field of geriatric medicine.

Potentially Inappropriate Medication Use in Patients with Dementia

The objective of this study was to characterize the epidemiology of using potentially inappropriate medications associated with dementia exacerbation (DPIMs) in elderly outpatients with dementia. Electronic medical records were retrospectively reviewed for geriatric patients with dementia who were prescribed at least one medication in 2016 at a tertiary, university-affiliated hospital. The 2015 Beers criteria were used to define DPIMs. Logistic regression was performed to identify factors associated with prescribing DPIMs in patients with dementia. Among 2100 patients included in our study, 987 (47.0%) patients were prescribed at least one DPIM. Benzodiazepines were the most frequently prescribed DPIM followed by anticholinergics, histamine H2-receptor blockers, and zolpidem. The risk of prescribing DPIMs was significantly increased in female patients (odds ratio (OR) 1.355) with polypharmacy (OR 5.146) and multiple comorbidities (OR 1.129) (p < 0.05 for all). Coexistence of Parkinson's disease (OR 1.799), mood disorder (OR 1.373), or schizophrenia (OR 4.116) in patients with dementia further increased the likelihood of receiving DPIMs. In conclusion, DPIMs were commonly used in elderly patients with dementia in Korea with benzodiazepines most frequently prescribed followed by anticholinergics. Female patients using polypharmacy with multiple comorbidities should be closely monitored to minimize unnecessary DPIM use and, ultimately, DPIM-related harms.

Primary care clinicians' use of deprescribing recommendations: A mixed-methods study

OBJECTIVE

to explore the effects of a deprescribing intervention on primary care clinicians' medication-related communication.

METHODS

A clinical decision support tool provided clinicians in the intervention group with an individualized report regarding potentially inappropriate medications (PIMs), deintensification of diabetes and/or hypertension treatment, and poor adherence/cognition. Participants included 113 Veterans aged ≥ 65 prescribed ≥ 7 medications and their primary care clinicians. Encounters were recorded and analyzed.

RESULTS

Between 36% and 38% of intervention clinicians discussed PIMs and diabetes mellitus/hypertension deintensification and 94% discussed adherence. PIMs discussions referred to the report and prompted some medication changes. The diabetes mellitus/hypertension and adherence discussions were not prompted by the report but instead arose from enhanced medication reconciliation. Changes in diabetes mellitus/hypertension medications were not made out of overtreatment concerns. There was no deprescribing for nonadherence. Enhanced medication reconciliation also led to discussions about medications not in the report.

CONCLUSION

An individualized report regarding medication appropriateness prompted clinicians to perform a more thorough medication reconciliation and discuss PIMs. It did not prompt chronic care deintensification or deprescribing to enhance adherence.

PRACTICE IMPLICATIONS

Feedback reports can promote robust medication reconciliation in primary care. Changing clinician practice to achieve deprescribing in chronic disease management will be more challenging.

Deep brain stimulation in early-stage Parkinson disease: Five-year outcomes

OBJECTIVE

To report 5-year outcomes from the subthalamic nucleus (STN) deep brain stimulation (DBS) in early-stage Parkinson disease (PD) pilot clinical trial.

METHODS

The pilot was a prospective, single-blind clinical trial that randomized patients with early-stage PD (Hoehn & Yahr II off medications) to receive bilateral STN DBS plus optimal drug therapy (ODT) vs ODT alone (IDEG050016, NCT0282152, IRB040797). Participants who completed the 2-year trial participated in this observational follow-up study, which included annual outpatient visits through 5 years. This analysis includes 28 patients who were taking PD medications for 6 months to 4 years at enrollment. Outcomes were analyzed using both proportional odds logistic regression and linear mixed effects models.

RESULTS

Early STN DBS + ODT participants required lower levodopa equivalent daily doses (p = 0.04, β = -240 mg, 95% confidence interval [CI] -471 to -8) and had 0.06 times the odds of requiring polypharmacy at 5 years compared to early ODT participants (p = 0.01, odds ratio [OR] 0.06, 95% CI 0.00 to 0.65). The odds of having worse rest tremor for early STN DBS + ODT participants were 0.21 times those of early ODT participants (p < 0.001, OR 0.21, 95% CI 0.09 to 0.45). The safety profile was similar between groups.

CONCLUSIONS

These results suggest that early DBS reduces the need for and complexity of PD medications while providing long-term motor benefit over standard medical therapy. Further investigation is warranted, and the Food and Drug Administration has approved the conduct of a prospective, multicenter, pivotal clinical trial of DBS in early-stage PD (IDEG050016).

CLASSIFICATION OF EVIDENCE

This study provides Class II evidence that DBS implanted in early-stage PD decreases the risk of disease progression and polypharmacy compared to optimal medical therapy alone.

Reduction of potentially inappropriate medication in the elderly: design of a cluster-randomised controlled trial in German primary care practices (RIME)

Background:

Potentially inappropriate medication (PIM) is considered to have potentially more harmful than beneficial health effects in elderly patients. A German example for a PIM list is the PRISCUS list that has been available since 2010. PIMs are associated with an increased risk of hospitalisation and adverse health outcomes. Furthermore, drug–drug interactions (DDI) may pose additional risks to patients. It is not yet clear how numbers of PIM and DDI can be reduced in community-dwelling seniors in primary care; nor is it clear whether patients would benefit from such deprescribing.

Methods:

The cluster-randomised controlled study on the “Reduction of potentially Inappropriate Medication in the Elderly” (RIME study) is designed to examine whether an intervention based on the PRISCUS list can lower the proportion of community-dwelling people of ⩾70 years taking at least one PIM and/or medication inducing at least one dangerous DDI. The intervention consists of professional education and training on the reduction of PIM and DDI, and will be offered to either general practitioners (GPs) alone or GPs and their office staff in the experimental study arm. The control group will be offered professional education and training on more general issues of prescribing in the elderly, not specifically addressing PIM or DDI. The primary endpoint is the difference in the proportion of patients with at least one PIM or DDI between the start of the study and study closure after 12 months as compared between intervention and control group. Secondary endpoints include overall mortality, number of hospitalisations during the course of the study, quality of life and costs. Secondary analyses will be explorative, with the cluster randomisation being factored in.

Discussion:

The RIME study will contribute to answering the question of whether an intervention based on the PRISCUS list can reduce the proportion of community-dwelling seniors aged ⩾70 years with at least one PIM and/or DDI, and whether this will result in positive health effects, for example, as regards hospitalisations.

Trial registration

The Study has been registered in the German Clinical Trials Register (DRKS) under the number DRKS00003610.

Improving Adherence in Type 2 Diabetes

International Diabetes Federation estimates that there are more than a half-billion adults ages 20 to 79 years worldwide who have diabetes mellitus (DM) and that the global health care expenditure for adults with DM in 2015 was $673 billion. Nonadherence and nonpersistence to prescribed type 2 DM medications are common and remain a barrier to optimal health outcomes. There is a high prevalence of nonadherence among older adults. Research has focused on prevalence and predictors of adherence, research methodologies, and development of measures of adherence. Improvements hopefully will result in better disease monitoring, medication adherence, and reduced rates of diabetes complications.