Patient values and preferences on polypharmacy and deprescribing: a scoping review

Patterns of outpatient proton‒pump inhibitors use among older adults in a duplicative health system: comparing public and private prescribing

BACKGROUND

Proton-pump-inhibitors (PPIs) are overprescribed, posing challenges to patients and healthcare systems. In Portugal, the public National Health Service (NHS) provides universal coverage and reimburses medication regardless of prescription origin, i.e., public or private. This study aimed to compare PPIs outpatient prescription patterns and costs among older adults in the private and public sectors.

METHODS

A nationwide retrospective ecological study was conducted on PPIs prescribed for older adults in Portugal from 2020-2022. Data on defined daily doses (DDDs) and prices were obtained from a national public database by healthcare sector, sex, and age group (65-74, ≥ 75 years). The market share of DDD per 1000 older adults per day and the mean price per DDD (€/DDD) for all PPIs substances were compared between the public and private sectors.

RESULTS

PPIs-DDDs accounted for 5.3% of all outpatient DDDs prescribed in the private sector and 5.9% in the public sector. The private sector prescribed PPIs at a 20% higher price (0.126 €/DDD) than the public (0.106 €/DDD), with greater differences among the most expensive substances (rabeprazole, lansoprazole and esomeprazole). Omeprazole (cheapest) was mostly prescribed in the public sector. In the private sector, a similar pattern was observed among those aged ≥ 75 years, whereas esomeprazole was most prescribed for those aged 65-74 years.

CONCLUSIONS

Given the widespread prescription of PPIs and the associated cost, it is crucial to reinforce incentives to promote rational PPIs prescription and encourage deprescription when necessary, in both sectors. Since the NHS also reimburses medications prescribed in private units, implementing monitoring measures and financial incentives to promote responsible prescribing in this sector should also be considered.

"Starting to think that way from the start": approaching deprescribing decision-making for people accessing palliative care - a qualitative exploration of healthcare professionals views

BACKGROUND

Deprescribing has been defined as the planned process of reducing or stopping medications that may no longer be beneficial or are causing harm, with the goal of reducing medication burden while improving patient quality of life. At present, little is known about the specific challenges of decision-making to support deprescribing for patients who are accessing palliative care. By exploring the perspectives of healthcare professionals, this qualitative study aimed to address this gap, and explore the challenges of, and potential solutions to, making decisions about deprescribing in a palliative care context.

METHODS

Semi-structured interviews were conducted with healthcare professionals in-person or via video call, between August 2022 - January 2023. Perspectives on approaches to deprescribing in palliative care; when and how they might deprescribe; and the role of carers and family members within this process were discussed. Interviews were audio-recorded and transcribed verbatim. Reflexive thematic analysis enabled the development of themes. QSR NVivo (Version 12) facilitated data management. Ethical approval was obtained from the NHS Health Research Authority (ref 305394).

RESULTS

Twenty healthcare professionals were interviewed, including: medical consultants, nurses, specialist pharmacists, and general practitioners (GPs). Participants described the importance of deprescribing decision-making, and that it should be a considered, proactive, and planned process. Three themes were developed from the data, which centred on: (1) professional attitudes, competency and responsibility towards deprescribing; (2) changing the culture of deprescribing; and (3) involving the patient and family/caregivers in deprescribing decision-making.

CONCLUSIONS

This study sought to explore the perspectives of healthcare professionals with responsibility for making deprescribing decisions with people accessing palliative care services. A range of healthcare professionals identified the importance of supporting decision-making in deprescribing, so it becomes a proactive process within a patient's care journey, rather than a reactive consequence. Future work should explore how healthcare professionals, patients and their family can be supported in the shared decision-making processes of deprescribing.

TRIAL REGISTRATION

Ethical approval was obtained from the NHS Health Research Authority (ref 305394).

Are Saudi Arabian Patients Willing to Be Deprescribed Their Medications? An Exploratory Study

Purpose

Deprescribing is a complex process that requires active patient involvement, so the patient's attitude to deprescribing is crucial to its success. This study aimed to assess predictors of Saudi Arabian patients' willingness to deprescribe.

Patients and Methods

In this cross-sectional study, adult patients from two hospitals in Riyadh completed a self-administered questionnaire gathering data on demographic information and the Arabic revised Patients' Attitudes Towards Deprescribing (rPATD) questions. Descriptive analysis and binary logistic regression were used to analyze the data.

Results

A total of 242 patients were included (mean age 59.8 (SD 11.05) years, range 25-87 years; 40% 60-69 years; 54.1% female). The majority (90%) of participants were willing to have medications deprescribed. Willingness to deprescribe was significantly associated with the rPATD involvement factor (OR=1.866, 95% CI 1.177-2.958, p=0.008) and the patient's perception of their health status (OR=2.08, CI=1.058-4.119, p=0.034).

Conclusion

The majority of patients were willing to have one or more medications deprescribed if recommended by their doctors. Patient perceptions about their own health and their involvement in deprescribing were important predictive factors that could shape counseling and education strategies to encourage deprescribing.

Barriers and enablers to deprescribing of older adults and their caregivers: a systematic review and meta-synthesis

PURPOSE

The primary objective of this study was to identify the barriers and enablers to deprescribing from the viewpoint of community-dwelling older adults and their caregivers.

METHODS

This meta-synthesis included a systematic review of the literature and an inductive thematic synthesis. Medline and EMBASE were searched for studies that qualitatively explored the perspectives of older adults or their caregivers on deprescribing. Studies had to use qualitative methodologies and include community-dwelling adults (or their caregivers) aged 60 years or older who were taking one or more chronic medications. The quality of studies was assessed using the CASP tool.

RESULTS

Fourteen studies were included in the meta-synthesis. All studies included older adults, and 3 included caregivers or companions. Four barriers were identified: favorable perceptions of medications, fear of medication discontinuation, the complexity of the healthcare system and discouragement from healthcare professionals; and seven enablers were identified: medication safety concerns, patient autonomy and confidence, education, follow-up, deprescribing strategies, relationships with physicians, and patient-perceived benefits of deprescribing.

CONCLUSION

Multiple barriers and enablers to deprescribing exist within the older adult population. Health system complexity and direct discouragement from healthcare providers were barriers uniquely identified in the older adult population. This population would benefit from interventions to increase their medication literacy, confidence, and autonomy in the deprescribing journey.

Development of a patient-centred medication management model for polymedicated home-dwelling older adults after hospital discharge: results of a mixed methods study

OBJECTIVE

This study aimed to investigate medication management among polymedicated, home-dwelling older adults after discharge from a hospital centre in French-speaking Switzerland and then develop a model to optimise medication management and prevent adverse health outcomes associated with medication-related problems (MRPs).

DESIGN

Explanatory, sequential, mixed methods study based on detailed quantitative and qualitative findings reported previously.

SETTING

Hospital and community healthcare in the French-speaking part of Switzerland.

PARTICIPANTS

The quantitative strand retrospectively examined 3 years of hospital electronic patient records (n=53 690 hospitalisations of inpatients aged 65 years or older) to identify the different profiles of those at risk of 30-day hospital readmission and unplanned nursing home admission. The qualitative strand explored the perspectives of older adults (n=28), their informal caregivers (n=17) and healthcare professionals (n=13) on medication management after hospital discharge.

RESULTS

Quantitative results from older adults' profiles, affected by similar patient-related, medication-related and environment-related factors, were enhanced and supported by qualitative findings. The combined findings enabled us to design an interprofessional, collaborative medication management model to prevent MRPs among home-dwelling older adults after hospital discharge. The model comprised four interactive fields of action: listening to polymedicated home-dwelling older adults and their informal caregivers; involving older adults and their informal caregivers in shared, medication-related decision-making; empowering older adults and their informal caregivers for safe medication self-management; optimising collaborative medication management practices.

CONCLUSION

By linking the retrospective and prospective findings from our explanatory sequential study involving multiple stakeholders' perspectives, we created a deeper comprehension of the complexities and challenges of safe medication management among polymedicated, home-dwelling older adults after their discharge from hospital. We subsequently designed an innovative, collaborative, patient-centred model for optimising medication management and preventing MRPs in this population.

Automated Detection of Patients at High Risk of Polypharmacy including Anticholinergic and Sedative Medications

Ensuring that medicines are prescribed safely is fundamental to the role of healthcare professionals who need to be vigilant about the risks associated with drugs and their interactions with other medicines (polypharmacy). One aspect of preventative healthcare is to use artificial intelligence to identify patients at risk using big data analytics. This will improve patient outcomes by enabling pre-emptive changes to medication on the identified cohort before symptoms present. This paper presents a mean-shift clustering technique used to identify groups of patients at the highest risk of polypharmacy. A weighted anticholinergic risk score and a weighted drug interaction risk score were calculated for each of 300,000 patient records registered with a major regional UK-based healthcare provider. The two measures were input into the mean-shift clustering algorithm and this grouped patients into clusters reflecting different levels of polypharmaceutical risk. Firstly, the results showed that, for most of the data, the average scores are not correlated and, secondly, the high risk outliers have high scores for one measure but not for both. These suggest that any systematic recognition of high-risk groups should consider both anticholinergic and drug-drug interaction risks to avoid missing high-risk patients. The technique was implemented in a healthcare management system and easily and automatically identifies groups at risk far faster than the manual inspection of patient records. This is much less labour-intensive for healthcare professionals who can focus their assessment only on patients within the high-risk group(s), enabling more timely clinical interventions where necessary.