Validation of the LESS-CHRON criteria: reliability study of a tool for deprescribing in patients with multimorbidity

Feasibility of the Implementation of LESS-CHRON in Clinical Practice: A Pilot Intervention Study in Older Patients With Multimorbidity

Background and Objectives

Potentially inappropriate medication refers to the prescription of drugs whose risks outweigh the benefits. There are different pharmacotherapeutic optimization strategies to detect and avoid potentially inappropriate medications (PIMs), namely deprescription. The List of Evidence-Based Deprescribing for Chronic Patients (LESS-CHRON) criteria were designed as a tool to systematize the deprescribing process. LESS-CHRON has established itself as one of the most suitable to be applied in older (≥65 years) multimorbid patients. However, it has not been applied to these patients, to measure the impact on their treatment. For this reason, a pilot study was conducted to analyze the feasibility of implementing this tool in a care pathway.

Research Design and Methods

A pre-post quasi-experimental study was conducted. Older outpatients with multimorbidity from the Internal Medicine Unit of a benchmark Hospital were included. The main variable was feasibility in clinical practice, understood as the likelihood that the deprescribing intervention recommended by the pharmacist would be applied to the patient. Success rate, therapeutic, and anticholinergic burden, and other variables related to health care utilization were analyzed.

Results

A total of 95 deprescribing reports were prepared. Forty-three were evaluated by the physician who assessed the recommendations made by pharmacists. This translates into an implementation feasibility of 45.3%. The application of LESS-CHRON identified 92 PIMs. The acceptance rate was 76.7% and after 3 months 82.7% of the stopped drugs remained deprescribed. A reduction in anticholinergic burden and enhanced adherence was achieved. However, no improvement was found in clinical or health care utilization variables.

Discussion and Implications

The implementation of the tool in a care pathway is feasible. The intervention has achieved great acceptance and deprescribing has been successful in a not insignificant percentage. Future studies with a larger sample size are necessary to obtain more robust results in clinical and health care utilization variables.

Competences of internal medicine specialists for the management of patients with multimorbidity. EFIM multimorbidity working group position paper

Patients with multimorbidity increasingly impact healthcare systems, both in primary care and in hospitals. This is particularly true in Internal Medicine. This population associates with higher mortality rates, polypharmacy, hospital readmissions, post-discharge syndrome, anxiety, depression, accelerated age-related functional decline, and development of geriatric syndromes, amongst others. Internists and Hospitalists, in one of their roles as Generalists, are increasingly asked to attend to these patients, both in their own Departments as well as in surgical areas. The management of polypathology and multimorbidity, however, is often complex, and requires specific clinical skills and corresponding experience. In addition, patients' needs, health-care environment, and routines have changed, so emerging and re-emerging specific competences and approaches are required to offer the best coordinated, continuous, and comprehensive integrated care to these populations, to achieve optimal health outcomes and satisfaction of patients, their relatives, and staff. This position paper proposes a set of emerging and re-emerging competences for internal medicine specialists, which are needed to optimally address multimorbidity now and in the future.

Prevalence of Potentially Inappropriate Medications in Patients With Multimorbidity According to LESS-CHRON and STOPPFrail Criteria

OBJECTIVE

LESS-CHRON (List of Evidence-Based Deprescribing for Chronic Patients) and STOPPFrail (Screening Tool of Older Persons' Prescriptions in Frail adults with limited life expectancy) are criterion-based deprescribing tools. This study aimed to identify the prevalence of potentially inappropriate medications (PIMs) with these tools in an outpatient, polymedicated, older population with multimorbidity.

DESIGN

Single-center cross-sectional observational study.

SETTING AND PARTICIPANTS

PIMs and criteria subject to deprescribing identified by each tool were collected in patients who were being followed up on outpatient internal medicine consultation.

METHODS

PIMs were identified by STOPPFrail and LESS-CHRON criteria reviewing medical histories and pharmacologic treatments of the patients in the electronic health card system. Sociodemographic, clinical, and pharmacologic variables were recorded. A correlation analysis between treatment tools and clinical values was performed using the nonparametric Spearman rho correlation.

RESULTS

Eighty-three patients with a median of 14.4 (interquartile range 12-17) prescribed drugs were included. The total number of PIMs identified with LESS-CHRON was 158 vs 127 with STOPPFrail. Eight of the 27 criteria (29.6%) for LESS-CHRON and 15 of the 25 for STOPPFrail were found to be not applicable. A significant correlation was obtained for both tools with the number of prescribed drugs at the time of inclusion. The Profund, Barthel, and Frail-VIG index only showed a significant correlation with LESS-CHRON.

CONCLUSION AND IMPLICATIONS

Both tools have shown the capacity to identify PIMs that can be deprescribed in the population studied. However, LESS-CHRON appears to have a greater detection potential in the subgroup of patients analyzed. STOPPFrail brings a certain complementarity in other areas of therapy not covered by LESS-CHRON.

A Personalized Ontology-Based Decision Support System for Complex Chronic Patients: Retrospective Observational Study

BACKGROUND

Due to an increase in life expectancy, the prevalence of chronic diseases is also on the rise. Clinical practice guidelines (CPGs) provide recommendations for suitable interventions regarding different chronic diseases, but a deficiency in the implementation of these CPGs has been identified. The PITeS-TiiSS (Telemedicine and eHealth Innovation Platform: Information Communications Technology for Research and Information Challenges in Health Services) tool, a personalized ontology-based clinical decision support system (CDSS), aims to reduce variability, prevent errors, and consider interactions between different CPG recommendations, among other benefits.

OBJECTIVE

The aim of this study is to design, develop, and validate an ontology-based CDSS that provides personalized recommendations related to drug prescription. The target population is older adult patients with chronic diseases and polypharmacy, and the goal is to reduce complications related to these types of conditions while offering integrated care.

METHODS

A study scenario about atrial fibrillation and treatment with anticoagulants was selected to validate the tool. After this, a series of knowledge sources were identified, including CPGs, PROFUND index, LESS/CHRON criteria, and STOPP/START criteria, to extract the information. Modeling was carried out using an ontology, and mapping was done with Health Level 7 Fast Healthcare Interoperability Resources (HL7 FHIR) and Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT; International Health Terminology Standards Development Organisation). Once the CDSS was developed, validation was carried out by using a retrospective case study.

RESULTS

This project was funded in January 2015 and approved by the Virgen del Rocio University Hospital ethics committee on November 24, 2015. Two different tasks were carried out to test the functioning of the tool. First, retrospective data from a real patient who met the inclusion criteria were used. Second, the analysis of an adoption model was performed through the study of the requirements and characteristics that a CDSS must meet in order to be well accepted and used by health professionals. The results are favorable and allow the proposed research to continue to the next phase.

CONCLUSIONS

An ontology-based CDSS was successfully designed, developed, and validated. However, in future work, validation in a real environment should be performed to ensure the tool is usable and reliable.

Chronic-pharma: New Platform for Chronic Patients Pharmacotherapy Optimization

We describe the technological development of a web platform named CHRONIC-PHARMA that integrates three prescription support tools for patients with chronic diseases: Anticholinergic Burden Calculator (ABC), LESS-CHRON criteria and TRIGGER-CHRON. They focus on the optimization and evaluation of pharmacotherapy in patients with chronic diseases, resulting in a useful, single platform that can facilitate the review of pharmacotherapy and improve the safety of chronically ill patients. This is achieved by estimating and reducing the anticholinergic risk (ABC), detecting opportunities for deprescribing drugs and monitoring its success (LESS-CHRON criteria), as well as calculating the risk of adverse drug events (TRIGGER-CHRON). The platform is freely accessible online (https://chronic-pharma.com/) as well as through a mobile application, and therefore easily accessible among the healthcare community.

[PAPPS GdT Major 2020 Update]

In this update, we have introduced new topics that we believe are of vital importance in the major areas, such as the revision of walking aids, as well as recommendations on nutrition and social isolation. Recommendations on deprescribing, fragility, mild cognitive impairment, and dementia have already been presented in previous updates.