Polypharmacy Among Home-Dwelling Older Adults: The Urgent Need for an Evidence-Based Medication Management Model

A Survey of Medication Management in Occupational Therapy Practice

A descriptive study was conducted through the use of an online survey to gain understanding of the current occupational therapy practices of medication management. Although most respondents felt this topic is important, 24% of those surveyed reported not including medication management in their practice. Results suggest cognition was an important consideration when addressing medication management as well as the need to increase occupational therapy practitioners' knowledge and use of medication management.

Managing polypharmacy through medication review tools - pros and cons

Inappropriate polypharmacy is a common occurrence in elderly patients, resulting in increased adverse drug reactions, nonadherence, and increased healthcare costs. Medication review and deprescribing are the primary strategies described in the literature for dealing with problematic polypharmacy. To effectively carry out the medication review, various tools have been developed. These tools can support medication review in a variety of ways. Some tools include a list of medications requiring detailed attention, while others guide medical professionals with principles and algorithms for reviewing and prescribing medicines. A third category of tools focuses on tracking and identifying symptoms that may be due to drug-related problems.

Arabic translation, cultural adaptation, and pilot-testing of multimorbidity self-management self-efficacy scales

OBJECTIVE

This study aimed to translate to Arabic language and culturally adapt the Self-Efficacy for Managing Chronic Diseases Scale (SEMCD) and The Perceived Medical Condition Self-Management Scale (PMCSMS).

DESIGN

The translation of the two scales was conducted according to the framework by Beaton et al. Then, these scales were tested in a cross-sectional correlational study with 85 Arabic-speaking participants with multimorbidities in Qatar. Psychometric tests to assess the reliability and validity of the translated scales were done.

RESULTS

The internal consistency reliability (α) for the Arabic version of both PMCSMS and SEMCD scales was 0.953 and 0.949, respectively. Correlation coefficient (r) used to assess convergent validity between the PMCSMS and the SEMCD was 0.76 (p < 0.5). Number of morbidities negatively correlated with scores of self-management self- efficacy scores of the PMCSMS and the SEMCD (r = -0.50 and -0.51, respectively).

DISCUSSION

The translated PMCSMS and SEMCD are valid and reliable scales that can be used by researchers and healthcare providers to assess levels of self-efficacy among individuals with multimorbidities. The translated scales can be employed in research or interventional programmes that aim to improve self-management or self-efficacy among individuals with multimorbidities.

An Intervention Program to Reduce Medication-Related Problems Among Polymedicated Home-Dwelling Older Adults (OptiMed): Protocol for a Pre-Post, Multisite, Pilot, and Feasibility Study

BACKGROUND

Effective medication management is one of the essential preconditions for enabling polymedicated home-dwelling older adults with multiple chronic conditions to remain at home and preserve their quality of life and autonomy. Lack of effective medication management predisposes older adults to medication-related problems (MRPs) and adverse health outcomes, which can lead to the degradation of a patient's acute clinical condition, physical and cognitive decline, exacerbation of chronic medical conditions, and avoidable health care costs. Nonetheless, it has been shown that MRPs can be prevented or reduced by using well-coordinated, patient-centered, interprofessional primary care interventions.

OBJECTIVE

This study aimed to explore the feasibility and acceptability of an evidence-based, multicomponent, interprofessional intervention program supported by informal caregivers to decrease MRPs among polymedicated home-dwelling older adults with multiple chronic conditions.

METHODS

This quasi-experimental, pre-post, multisite pilot, and feasibility study will use an open-label design, with participants knowing the study's objectives and relevant information, and it will take place in primary health care settings in Portugal and Switzerland. The research population will comprise 30 polymedicated, home-dwelling adults, aged ≥65 years at risk of MRPs and receiving community-based health care, along with their informal caregivers and health care professionals.

RESULTS

Before a projected full-scale study, this pilot and feasibility study will focus on recruiting and ensuring the active collaboration of its participants and on the feasibility of expanding this evidence-based, multicomponent, interprofessional intervention program throughout both study regions. This study will also be essential to projected follow-up research programs on informal caregivers' multiple roles, enhancing their coordination tasks and their own needs. Results are expected at the end of 2024.

CONCLUSIONS

Designing, establishing, and exploring the feasibility and acceptability of an intervention program to reduce the risks of MRPs among home-dwelling older adults is an underinvestigated issue. Doing so in collaboration with all the different actors involved in that population's medication management and recording the first effects of the intervention will make this pilot and feasibility study's findings very valuable as home care becomes an ever more common solution.

TRIAL REGISTRATION

Swiss National Clinical Trials Portal 000004654; https://tinyurl.com/mr3yz8t4.

Rational medication management mode and its implementation effect for the elderly with multimorbidity: A prospective cohort study in China

Background

As one of the countries with the most serious degree of aging, the incidence of potentially inappropriate drug use among the elderly is as high as 30. 4% in Chinese communities, and the lack of effective medication management and poor medication compliance at home are the main factors. Given these situations, we constructed a Rational Medication Management Mode based on family physician service, carried out an empirical research and evaluated the implementation effect.

Methods

A prospective cohort study was conducted from September to December 2021 to analyze the implementation effect of the Rational Medication Management Mode by comparing the outcome indicators between the intervention group and control group. The primary outcome of this study was medication number and polypharmacy (taking 5 or more medications) at 90 days. The secondary outcomes included the situation for behavioral self-management and knowledge-belief-behavior of rational medication use.

Results

A total of 618 elderly patients (309 in the intervention group and 309 in the control group) with multimorbidity were included in this study, those were all available at follow-up at 90 days. At 90 days, the number of medications was achieved by 3.88 (1.48), and patients with polypharmacy were reduced by 59.55% in the intervention group, having a significant difference compared with the control group (P < 0.001). Patients with medication reminders, intermittent medication and adverse drug reactions were achieved in 294 (95.15%), 47 (15.21%), and 51 (16.51%) respectively in the intervention group (P < 0.001). The knowledge, belief, behavior security and behavior compliance of rational medication use of elderly patients were all greatly improved in the intervention group at 90 days (P < 0.0001).

Conclusion

The Rational Medication Management Mode based family physician service, which provides the support of manuals and pillboxes, can decrease the elderly patients' number of drugs with multimorbidity, reduce the incidence of polypharmacy, enhance behavioral self-management, increase the knowledge and belief of rational medication use, and improve the security and compliance of medication usage behavior. In order to provide a practical basis for rational medication management of elderly patients with multimorbidity under the background of long-term prescriptions in China.

Functional Status among Polymedicated Geriatric Inpatients at Discharge: A Population-Based Hospital Register Analysis

This study explored and compared the functional status of polymedicated and non-polymedicated geriatric inpatients at hospital discharge. We used a cross-sectional registry of geriatric patients' hospital records from a multi-site public hospital center in Switzerland. The analysis included all inpatients aged 65 years old or more admitted between 1 January 2015 and 31 December 2017 (n = 53,690), of whom 67.5% were polymedicated at hospital discharge, 52.1% were women (n = 18,909), and 42.7% were 75-84 years old (n = 15,485). On average, the polymedicated patients' hospital lengths of stay were six days longer, they presented with more than three comorbidities, and they were prescribed more than nine medications at hospital discharge (p < 0.001). They showed more frequent general mobility decline (43.2% vs. 41.9%), gait disorders (46.2% vs. 43%), fatigue (48.6% vs. 43.4%) and dependence on lower-body care (49.7% vs. 47.6%), and presented a higher malnutrition risk (OR = 1.411; 95%CI 1.263-1.577; p < 0.001). However, the non-polymedicated inpatients had proportionally more physical and cognitive impairments. The comparison of the functional status of polymedicated and non-polymedicated geriatric inpatients at hospital discharge is important for clinicians trying to identify and monitor those who are most vulnerable to functional decline, and to design targeted strategies for the prevention of functional impairment and related adverse health outcomes.

Personalized and Self-Management: Systematic Search and Evaluation Quality Factors and User Preference of Drug Reference Apps in Taiwan

Background: Drug reference apps promote self-management and improve the efficiency and quality of work for physicians, nurses, pharmacists, and patients. This study aimed to describe a systematic and stepwise process to identify drug reference apps in Taiwan, assess the quality of these apps, and analyze the influential factors for user ratings. Methods: A two-step algorithm (KESS) consisting of keyword growing and systematic search was proposed. Seven independent reviewers were trained to evaluate these apps using Mobile App Rating Scale (MARS). A logistic regression model was fitted and average marginal effects (AME) were calculated to identify the effects of factors for higher user ratings. Results: A total of 23 drug reference apps in Taiwan were identified and analyzed. Generally, these drug reference apps were evaluated as acceptable quality with an average MARS score of 3.23. Higher user engagement, more functionality, better aesthetics, and more information associated with higher user ratings. Navigation is the most influential factor on higher user ratings (AME: 13.15%) followed by performance (AME: 11.03%), visual appeal (AME: 10.87%), credibility (AME: 10.67%), and quantity of information (AME: 10.42%). Conclusions: User experience and information clearly affect user ratings of drug reference apps. Five key factors should be considered when designing drug reference apps.

Pharmacist medication review: An integrated team approach to serve home-based primary care patients

Background

Comprehensive medication review is a patient-centered approach to optimize medication use and improve patient outcomes. This study outlines a pilot model of care in which a remote corporate-based clinical pharmacist implemented comprehensive medication reviews for a cohort of medically complex home-based primary care (HBPC) patients.

Method

Ninety-six medically complex patients were assessed for medication-related problems. Data collected on these patients were: number of chronic conditions, number of medications, appropriate indication for each medication, dose appropriateness, drug interactions, recommendations for medication optimization and deprescribing. The number of accepted recommendations by the HBPC practice was analyzed.

Results

On average, the patients were 82 years old and had 13 chronic conditions. They were taking a median of 17 medications. Over a four-month pilot period, 175 medication recommendations were made, and 53 (30.3%) of them were accepted, with most common being medication discontinuation, deprescribing, and dose adjustments. Sixty-four (66.7%) patients were on a medication listed as potentially inappropriate for use in older adults. The most common potentially inappropriate medication was a proton-pump inhibitor (38.5%), followed by aspirin (24%), tramadol (15.6%), a benzodiazepine (13.5%) or an opioid (8.3%). Eighty-one medications were recommended for deprescribing and 27 medications were discontinued (33.3%). There were 24 recommended dose adjustments and 11 medications were dose adjusted (45.8%). Thirty-four medications were suggested as an addition to the current patient regimen, 2 medications were added (5.9%).

Conclusion

Pharmacist comprehensive medication review is a necessary component of the HBPC healthcare continuum. Additional research is needed to examine whether aligning pharmacists to deliver support to HBPC improves clinical outcomes, reduces healthcare expenditures and improves the patient’s experience.

Transforming a Patient Registry Into a Customized Data Set for the Advanced Statistical Analysis of Health Risk Factors and for Medication-Related Hospitalization Research: Retrospective Hospital Patient Registry Study

BACKGROUND

Hospital patient registries provide substantial longitudinal data sets describing the clinical and medical health statuses of inpatients and their pharmacological prescriptions. Despite the multiple advantages of routinely collecting multidimensional longitudinal data, those data sets are rarely suitable for advanced statistical analysis and they require customization and synthesis.

OBJECTIVE

The aim of this study was to describe the methods used to transform and synthesize a raw, multidimensional, hospital patient registry data set into an exploitable database for the further investigation of risk profiles and predictive and survival health outcomes among polymorbid, polymedicated, older inpatients in relation to their medicine prescriptions at hospital discharge.

METHODS

A raw, multidimensional data set from a public hospital was extracted from the hospital registry in a CSV (.csv) file and imported into the R statistical package for cleaning, customization, and synthesis. Patients fulfilling the criteria for inclusion were home-dwelling, polymedicated, older adults with multiple chronic conditions aged ≥65 who became hospitalized. The patient data set covered 140 variables from 20,422 hospitalizations of polymedicated, home-dwelling older adults from 2015 to 2018. Each variable, according to type, was explored and computed to describe distributions, missing values, and associations. Different clustering methods, expert opinion, recoding, and missing-value techniques were used to customize and synthesize these multidimensional data sets.

RESULTS

Sociodemographic data showed no missing values. Average age, hospital length of stay, and frequency of hospitalization were computed. Discharge details were recoded and summarized. Clinical data were cleaned up and best practices for managing missing values were applied. Seven clusters of medical diagnoses, surgical interventions, somatic, cognitive, and medicines data were extracted using empirical and statistical best practices, with each presenting the health status of the patients included in it as accurately as possible. Medical, comorbidity, and drug data were recoded and summarized.

CONCLUSIONS

A cleaner, better-structured data set was obtained, combining empirical and best-practice statistical approaches. The overall strategy delivered an exploitable, population-based database suitable for an advanced analysis of the descriptive, predictive, and survival statistics relating to polymedicated, home-dwelling older adults admitted as inpatients. More research is needed to develop best practices for customizing and synthesizing large, multidimensional, population-based registries.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1136/bmjopen-2019-030030.