The Effects of Beliefs and Health Literacy on Medication Use in Culturally And Linguistically Diverse Populations: A literature review

BackgroundThe Hong Kong-specific criteria have been established in 2019 to assess potentially inappropriate medication (PIM) use in older adults and improve the local prescribing quality. The aim of this study was to compare the adaptive versions of the Hong Kong-specific criteria and 2015 Beers criteria for assessing the prevalence and correlates of PIM use in Hong Kong older patients.MethodsA cross-sectional study was performed from January 1, 2014 to December 31, 2014 using the Hospital Authority (HA) database. A total of 489,301 older patients aged 65 years and older visiting general outpatient clinics (GOPCs) during the study period were included in the study. Two categories of PIM use included in the Hong Kong-specific criteria and 2015 Beers criteria, i.e. PIMs independent of diagnoses and PIMs considering specific medical conditions, were adapted to assess the prevalence of PIM use among the study sample. Characteristics of PIM users and the most frequently prescribed PIMs were investigated for each set of the criteria. Factors associated with PIM use were identified using the stepwise multivariable logistic regression analysis.ResultsThe adaptive Hong Kong-specific criteria could detect a higher prevalence of patients exposed to at least one PIM than that assessed by the adaptive Beers criteria (49.5% vs 47.5%). Meanwhile, the adaptive Hong Kong-specific criteria could identify a higher rate of patients exposed to PIMs independent of diagnoses (48.1% vs 46.8%) and PIMs considering specific medical conditions (7.3% vs 4.9%) compared with that of the adaptive Beers criteria. The most frequently prescribed PIMs detected by the adaptive Beers criteria were all included in the adaptive Hong Kong-specific criteria. The strongest factor associated with PIM use was number of different medications prescribed. Patients with female gender, aged 65 ~ 74 years, a larger number of GOPC visits, and more than six diagnoses were associated with greater risk of PIM use, whereas advancing age was associated with lower risk of PIM use.ConclusionsThe adaptive Hong Kong-specific criteria could detect a higher prevalence of PIM use than the adaptive Beers criteria in older adults visiting GOPCs in Hong Kong. It is necessary to update the prevalence and correlates of PIM use regularly in older adults to monitor the burden of PIM use and identify vulnerable patients who need further interventions.

Elderly with mental health conditions usually use multiple medications, which predisposes them to inappropriate use of medications, which is defined as medications that should be avoided due to their risk; this outweighs their benefit given that safer alternatives are available. This study aimed to examine potentially inappropriate medication use among older patients with anxiety disorder. This study used a cross-sectional retrospective study design using twelve months of data extracted from the Electronic Health Record (EHR) database for older adults diagnosed with anxiety disorder and treated in the ambulatory care setting. Potentially inappropriate medications (PIMs) use was evaluated using the 2019 Beers criteria. Descriptive statistics were used to describe the sample. Pearson's chi-square tests (for categorical variables) and t-tests (for continuous variables) were utilized to measure the differences in independent variables between patients with and without PIMs. Binary logistic regression was used to examine the associations between PIMs use and identify potential factors for PIMs use among older adults with anxiety disorder. Analyses were performed using the Statistical Analysis Software version 9.4 (SAS® 9.4). The study sample includes 371 older adults (age ≥ 65 years) with anxiety disorder; their average age was (72.1 ± 5.8) years. PIMs use was highly prevalent among older adults with anxiety (66.6%). About 35.6% of the study sample used one PIM, 22.6% used two PIMs, and 8.4% used three PIMs. The most frequently prescribed PIMs were NSAIDs and gastrointestinal agents. The adjusted regression analysis found that PIMs use was less likely among men than women. In addition, PIMs use was more likely among women with diabetes, cancer, and polypharmacy. Future studies on strategies and interventions rationing PIMs use in older adults with anxiety disorder are necessary given the high prevalence of PIMs and polypharmacy within this population.

ObjectivesTo describe the prevalence and determinants of potentially inappropriate medication (PIM) use and association with hospitalizations in an elderly managed care population in Switzerland.MethodsUsing health care claims data of four health insurers for a sample of managed care patients 65 years of age and older to compare persons on PIM with persons not on PIM. Beers' 2012 and PRISCUS criteria were used to determine the potential inappropriateness of prescribed medications. The sample included 16′490 elderly patients on PIM and 33′178 patients not on PIM in the time period of January 1, 2008 through December 31, 2012. Prevalence estimates are standardized to the population of Switzerland. Associations between PIM and hospitalizations were examined by multivariate Cox regression analyses controlling for possible confounding variables.ResultsThe estimated prevalence of PIM use in our managed care sample was 22.5%. Logistic regression analysis showed that number of different medications used in the previous year, total costs in the previous year and hospitalization in the previous year all significantly increased the likelihood of receiving PIM. Multiple Cox regression analysis revealed that those on cumulative levels of PIM use acted significantly as a factor related to greater hospitalization rates: the adjusted HR was 1.13 (95% CI 1.07–1.19) for 1 PIM, 1.27 (95% CI 1.19–1.35) for 2 PIM, 1.35 (95% CI 1.22–1.50) for 3 PIM, and 1.63 (95% CI 1.40–1.90) for more than 3 PIM compared to no PIM use.ConclusionsThe prevalence of PIM in managed care health plans are widely found but seem to be much lower than rates of non-managed care plans. Furthermore, our study revealed a significant association with adverse outcomes in terms of hospitalizations. These findings stress the need for further development of interventions to decrease drug-related problems and manage patients with multiple chronic conditions.

2019 AGS Beers Criteria for older adults

Hospitalizations and potentially inappropriate medication (PIM) use are significant and costly issues among older home health patients, yet little is known about the prevalence of PIM use in home health or the relationship between PIM use and hospitalization risk in this population. To describe the prevalence of PIM use and association with hospitalization among Medicare home health patients. Cross-sectional analysis using data from 132 home health agencies in the US. Medicare beneficiaries starting home health nursing services between 2013 and 2014 (n=87,780). Prevalence of individual and aggregate PIM use at start of care, measured using the 2012 Beers criteria. Relative risk (RR) of 30-day hospitalization or re-hospitalization associated with individual and aggregate PIM use, compared to no PIM use. In total, 30,168 (34.4%) patients were using at least one PIM, with 5969 (6.8%) taking at least two PIMs according to the Beers list. The most common types of PIMs were those affecting the brain or spinal cord, analgesics, and medications with anticholinergic properties. With the exception of nonsteroidal anti-inflammatory drugs (NSAIDs), PIM use across all classes was associated with elevated risk (10-33%) of hospitalization compared to non-use. Adjusting for demographic and clinical characteristics, patients using at least one PIM (excluding NSAIDs) had a 13% greater risk (RR=1.13, 95% CI: 1.09, 1.17) of being hospitalized than patients using no PIMs, while patients using at least two PIMs had 21% greater risk (RR=1.21, 95% CI: 1.12, 1.30). Similar associations were found between PIMs and re-hospitalization risk among patients referred to home health from a hospital. Given the high prevalence of PIM use and the association between PIMs and hospitalization risk, home health episodes represent opportunities to substantially reduce PIM use among older adults and prevent adverse outcomes. Efforts to address medication use during home health episodes, hospitalizations, and care transitions are justified.

Racial and ethnic disparities in potentially inappropriate medication (PIM) use among older adults with dementia are unclear. Data were drawn from the baseline visits of participants who were ≥60 years old and diagnosed with dementia in the National Alzheimer's Coordinating Center Uniform Data Set (NACCUDS) recruited from National Institute on Aging (NIA)-funded Alzheimer's Disease Research Centers (ADCs) throughout the United States. PIM utilization was evaluated using the 2019 American Geriatrics Society Beers Criteria for PIM Use in Older Adults. We estimated the association between race and ethnicity and the following outcomes and estimation models: (1) any PIM use, any PIM in each drug class, and any PIM best avoided in dementia patients using logistic regression models, (2) total number of medications, total number of PIMs, and anticholinergic burden scale (ACBS) using Poisson or negative binomial regression models, and (3) proportion of total medications that were PIMs using generalized linear models (GLM). Compared to White participants, Black, Hispanic, and Asian participants reported taking fewer total medications (incidence rate ratio [IRR] ± standard error[SE] = 0.903 ± 0.017, 0.875 ± 0.021, and 0.912 ± 0.041, respectively, all p < 0.01). Asian participants were less likely to be exposed to any PIM (odds ratio [OR] ± SE = 0.619 ± 0.118, p < 0.05). Compared to White participants, Black participants were less likely to be exposed to benzodiazepine (OR ± SE = 0.609 ± 0.094, p < 0.01) and antidepressant (OR ± SE = 0.416 ± 0.103, p < 0.001) PIMs, but greater antipsychotic (OR ± SE = 1.496 ± 0.204, p < 0.01), cardiovascular (OR ± SE = 2.193 ± 0.255, p < 0.001), and skeletal muscle relaxant (OR ± SE = 2.977 ± 0.860, p < 0.001) PIMs. Hispanic participants were exposed to greater skeletal muscle relaxant PIMs and had lower anticholinergic burden. Asian participants were exposed to fewer benzodiazepine PIMs. Significant racial and ethnic disparities in exposure to PIMs and PIMs by medication category in dementia research participants who have access to dementia experts found in the study suggest that disparities may be wider in the larger community.

Potentially inappropriate medication (PIM) exposes patients to an increased risk of adverse outcomes. Many lists of explicit criteria provide guidance on identifying PIM and recommend alternative prescribing, but the complexity of available lists limits their applicability and the amount of data available on PIM prescribing. To determine PIM prevalence and the most frequently prescribed PIMs according to 6 well-known PIM lists and to develop a best practice synthesis for clinicians. This cross-sectional study used anonymized electronic health record data of Swiss primary care patients aged 65 years or older with drug prescriptions from January 1, 2020, to December 31, 2021, extracted from a large primary care database in Switzerland, the FIRE project. Data analyses took place from October 2022 to September 2023. PIM prescription according to PIM criteria operationalized for use with FIRE data. The primary outcomes were PIM prevalence (percentage of patients with 1 or more PIMs) and PIM frequency (percentage of prescriptions identified as PIMs) according to the individual PIM lists and a combination of all 6 lists. The PIM lists used were the American 2019 Updated Beers criteria, the French list by Laroche et al, the Norwegian General Practice Norwegian (NORGEP) criteria, the German PRISCUS list, the Austrian list by Mann et al, and the EU(7) consensus list of 7 European countries. This study included 115 867 patients 65 years or older (mean [SD] age, 76.0 [7.9] years; 55.8% female) with 1 211 227 prescriptions. Among all patients, 86 715 (74.8%) were aged 70 years or older, and 60 670 (52.4%) were aged 75 years or older. PIM prevalence among patients 65 years or older was 31.5% (according to Beers 2019), 15.4% (Laroche), 16.1% (NORGEP), 12.7% (PRISCUS), 31.2% (Mann), 37.1% (EU[7]), and 52.3% (combined list). PIM prevalence increased with age according to every PIM list (eg, according to Beers 2019, from 31.5% at age 65 years or older to 37.4% for those 75 years or older, and when the lists were combined, PIM prevalence increased from 52.3% to 56.7% in those 2 age groups, respectively). PIM frequency was 10.3% (Beers 2019), 3.9% (Laroche), 4.3% (NORGEP), 2.4% (PRISCUS), 6.7% (Mann), 9.7% (EU[7]), and 19.3% (combined list). According to the combined list, the 5 most frequently prescribed PIMs were pantoprazole (9.3% of all PIMs prescribed), ibuprofen (6.9%), diclofenac (6.3%), zolpidem (4.5%), and lorazepam (3.7%). Almost two-thirds (63.5%) of all PIM prescriptions belonged to 5 drug classes: analgesics (26.9% of all PIMs prescribed), proton pump inhibitors (12.1%), benzodiazepines and benzodiazepine-like drugs (11.2%), antidepressants (7.0%), and neuroleptics (6.3%). In this cross-sectional study of adults aged 65 or older, PIM prevalence was high, varied considerably depending on the criteria applied, and increased consistently with age. However, only few drug classes accounted for the majority of all prescriptions that were PIM according to any of the 6 PIM lists, and by considering this manageable number of drug classes, clinicians could essentially comply with all 6 PIM lists. These results raise awareness of the most common PIMs and emphasize the need for careful consideration of their risks and benefits and targeted deprescribing.

Geriatrics is an emerging clinical specialty in India. Information about the appropriateness of prescription medication use among the elderly in India is limited. To determine the prevalence and predictors of potentially inappropriate medication (PIM) use, and assess the relationship between PIM use and adverse drug reactions (ADRs) in the hospitalized elderly. Medicine wards at two teaching hospitals. Prospective observational study. Patients aged > 60 years admitted to medicine wards between January 2008 and June 2009 were included and reviewed for PIM use according to the Beers Criteria 2003 (BC). Severity of PIM use was classified as per BC as 'high' or 'low'. ADRs observed in the study patients were also recorded. Association between ADRs and PIM use was assessed using Chi Square test. Bivariate analysis and subsequently multivariate logistic regression was used to identify predictors of PIM use. PIM use was observed in 191 of 814 enrolled patients. At least one PIM at admission and during hospital stay was received by 2.4% (20) and 22.1% (180) patients respectively. High-severity PIM use showed a higher prevalence compared to low severity [26.8% (218) vs. 5.5% (45)]. Amongst the patients who received polypharmacy (> or = 5 concurrent medications), 1.4% (5/362) and 22.1% (163/736) patients received PIMs at admission and during hospital stay respectively. Use of aspirin/clopidogrel/diclofenac in the presence of blood clotting disorder or anticoagulant therapy (8.3%) was the most commonly encountered PIM use. Medications not listed in BC were associated with increased occurrence of ADRs compared to medications listed in BC (349 vs. 11) (chi2 =98.4, P<0.001). Increased number of concurrent medications' use (> or = 9) during the stay in medicine wards was identified as an influential predictor of PIM use [Odds ratio: 1.9, 95% Confidence Interval: 1.34-2.69, P<0.001) in the hospitalized elderly. PIM use was common (23.5%) among the elderly patients during their stay in medicine wards in two tertiary care hospitals. Measures targeted only at BC medications may do little to change the risk of ADRs in elderly.

Objective To identify health literacy issues when providing maternity care to culturally and linguistically diverse (CALD) women, and the strategies needed for health professionals to collaboratively address these issues. Methods A qualitative case study design was undertaken at one large metropolitan Australian hospital serving a highly CALD population. Semistructured interviews were conducted with a range of maternity healthcare staff. The data were analysed thematically. The study is informed by a framework of cultural competence education interventions for health professionals and a health literacy framework. Results Eighteen clinicians participated in the interviews (seven midwives, five obstetricians, five physiotherapists, one social worker, and one occupational therapist). Emergent themes of health literacy-related issues were: patient-based factors (communication and cultural barriers, access issues); provider-based factors (time constraints, interpreter issues); and enablers (cultural awareness among staff, technology). Conclusions There are significant health literacy and systemic issues affecting the hospital's provision of maternity care for CALD women. These findings, mapped onto the four domains of cultural competence education interventions will inform a technology-delivered health literacy intervention for CALD maternity patients. This approach may be applied to other culturally diverse healthcare settings to foster patient health literacy. What is known about the topic? There are health inequities for pregnant women of culturally and linguistically diverse (CALD) backgrounds. Low health literacy compounded by language and cultural factors contribute to these inequities and access to interpreters in pregnancy care remains an ongoing issue. Pregnancy smart phone applications are a popular source of health information for pregnant women yet these apps are not tailored for CALD women nor are they part of a regulated industry. What does this paper add? This paper provides clinician and language service staff perspectives on key health literacy issues that are both patient-based and provider-based. This research confirms that the complex interplay of social and practical factors contributes to and perpetuates low health literacy, creating barriers to health access; it also highlights several enablers for increasing CALD health literacy and access. These include greater health practitioner awareness and accommodation of CALD women's needs and the provision of culturally and linguistically appropriate eHealth resources. What are the implications for practitioners? eHealth resources are emerging as valuable enabling tools to address the health literacy and information needs of pregnant women. However, these resources need to be used adjunctively with health practitioner communication. Both resource developers and health practitioners need to understand issues affecting CALD patients and their needs. Developers need to consider how the resource addresses these needs. Training of health professionals about culture-specific issues may help to enhance communication with, and therefore health literacy among, individual cultural groups. Further, formalised language and interpreting training of bi- or multilingual health professionals is advised to ensure that they are able to interpret to a professional standard when called on to do so.

To the Editor: The Beers Criteria, which were updated in 2012 with support from the American Geriatrics Society, identify 34 potentially inappropriate medications (PIMs), independent of diagnoses, to avoid in individuals aged 65 and older.1 Prior research regarding the effect of PIMs on health outcomes has focused on community and nursing home settings, and data from hospitalized individuals are minimal.2-6 The objective of the current study was to evaluate the association between the inpatient use of PIMs and hospital outcomes. Participants were individuals aged 65 and older admitted to the hospital between May 2012 and April 2013 with a primary International Classification of Diseases, Ninth Revision, code of pneumonia, acute myocardial infarction, or heart failure. Individuals admitted for observation, as outpatients, or to a surgical or intensive care service were excluded. Participants were categorized into four groups based on the number of PIMs prescribed during the index hospitalization using the 2012 Beers Criteria, independent of diagnosis. Categorical variables were evaluated using the chi-square test and continuous variables using analysis of variance between the four PIM categories. Four outcomes were evaluated: 30-day length of hospital stay (length of the index admission plus length of any readmission that occurred within 30 days), length of stay, total hospital costs, and 30-day readmission rate. Multivariate logistic regression and multivariate general linear models were assembled to evaluate the outcomes, using one PIM as the reference in all cases. Statistical analyses were conducted using SPSS version 21 for Windows (IBM/SPSS, Inc., Chicago, IL). Of 560 participants, 53% were male, 81% were Caucasian, 32% were aged 85 and older, and 68% had a mild burden of disease according to Charlson score; 46% were admitted for HF, 33% for myocardial infarction, and 21% for pneumonia. Six hundred forty-eight PIMs were prescribed to 380 participants, with the most common being sliding scale insulin (SSI) (33.5%), alprazolam (9.3%), lorazepam (9.3%), quetiapine (5.4%), and diphenhydramine (4.6%). In the fully adjusted model, participants prescribed two PIMs or three or more PIMs had significantly longer lengths of stay and 30-day hospital lengths of stay than those prescribed one PIM (Table 1). Individuals with three or more PIMs also had significantly higher hospital costs than those with one PIM. The number of PIMs prescribed did not significantly affect the odds of readmission within 30 days. Prescribing multiple PIMs in hospitalized elderly adults was associated with longer length of stay and higher hospital costs. The most common PIM was SSI, which the Beers Criteria suggest avoiding because of the risk of hypoglycemia and lack of efficacy in blood glucose control. Despite these recommendations, SSI is still prescribed, although the results may be overestimating its use because the current order entry system does not differentiate between sliding and correction scale. Other PIMs frequently encountered in this study also have risk:benefit profiles to be considered. For example, lorazepam is the preferred drug used at Hartford Hospital to manage alcohol withdrawal. The Beers Criteria acknowledge that some PIMs may be appropriate in certain situations such as advanced severe disease, highlighting the need for thorough clinical judgment for appropriateness. With this in mind, providers are encouraged to use the Beers Criteria to help screen for PIMs and limit their use when possible. Individuals aged 65 and older account for 41% of total hospital costs.7 As the population ages, this is expected to increase, highlighting the importance of identifying interventions to improve efficiency in healthcare spending. Results of this study suggest that PIMs may be one such intervention, although this should be evaluated in future research. Prior studies in hospitalized individuals have found no association between PIM use and mortality, length of stay, decline in activities of daily living, or discharge to a higher level of care.3-6 This study differs most notably in the categorization of number of PIMs rather than evaluating PIM use dichotomously. Along with achieving the estimated sample size, this allowed at which level PIM use negatively affected outcomes to be discerned. Nevertheless, the results should be considered in the context of study limitations. This study reflects prescribing patterns of one hospital in certain medical conditions, so the results may not be broadly applicable. PIM use was defined based on prescribing rather than actual use, and the results may have underestimated the risks associated with PIMs. Future prospective studies would eliminate the potential for residual confounding of variables that it was not possible to adjust for. The authors would like to thank Denis Gannon, PharmD, for his assistance with data collection. Conflict of Interest: The editor in chief has reviewed the conflict of interest checklist provided by the authors and has determined that the authors have no financial or any other kind of personal conflicts with this paper. Author Contributions: All authors contributed to this paper. Sponsor's Role: None.

BackgroundThe use of potentially inappropriate medications (PIMs) are associated with negative health effects for older adults. The purpose of this study was to apply national register data to investigate the impact of hospitalisation to geriatric wards in Norway on the use of medications and PIMs, and to compare two explicit PIM identification tools.MethodsWe included 715 patients ≥65 years (mean 82.5, SD = 7.8) admitted to Norwegian geriatric wards in 2013 identified from The Norwegian Patient Registry, and collected their medication use from the Norwegian Prescription Database. Medication use before and after hospitalisation was compared and screened for PIMs applying a subset of the European Union (EU)(7)-PIM list and the Norwegian General Practice – Nursing Home (NORGEP-NH) list part A and B.ResultsThe mean number of medications increased from 6.5 (SD = 3.5) before to 7.5 (SD = 3.5) (CI:1.2–0.8, p < 0.001) after hospitalisation. The proportion of patients with PIMs increased from before to after hospitalisation according to the EU(7)-PIM list (from 62.4 to 69.2%, p < 0.001), but not according to The NORGEP-NH list (from 49.9 to 50.6%, p = 0.73). The EU(7)-PIM list and the NORGEP-NH list had more than 70% agreement on the classification of patients as PIM users.ConclusionsMedication use increased after hospitalisation to geriatric wards. We did not find that geriatric hospital care leads to a general improvement in PIM use after hospitalisation. According to a subset of the EU(7)-PIM list, PIM use increased after hospitalisation. This increase was not identified by the NORGEP-NH list part A and B. It is feasible to use health register data to investigate the impact of hospitalisation to geriatric wards on medication use and PIMs.

The Beers Criteria for Potentially Inappropriate Medication (PIM) use is a list of medications with multiple risks in older patients. Approximately 24 per cent use rate is reported in prior studies. Our objective was to determine the local PIM use and subsequent fall risk in geriatric trauma patients. We conducted a retrospective analysis of PIM use in all geriatric patients evaluated at our Level 1 trauma center between 2014 and 2017. Patients were identified from our trauma database. Pre-admission medication use was determined through medication reconciliation from our electronic medical record (EMR). Patients not undergoing medication reconciliation were excluded. After initial analysis, patients were stratified by age into three groups: 65 to 74, 75 to 84, and ≥85 years. Multivariate logistic regression analyses were used to calculate odds ratios of falls for specific PIMs. In all, 2181 patients met the inclusion criteria. Overall, 71.2 per cent of geriatric trauma patients were prescribed at least one PIM-73.1 per cent of falls compared with 68.6 per cent for other mechanisms. Specific PIM use varied by age group. PIMs associated with fall risk in all patients included antipsychotics, benzodiazepines, and diclofenac. For those aged 65 to 74 years, antihistamines, diclofenac, proton pump inhibitors, and promethazine were associated. In those aged 75 to 84 years, alprazolam, antipsychotics, benzodiazepines, cyclobenzaprine, diclofenac, and muscle relaxants were implicated. No significant associations were found for patients aged ≥85 years. PIM use at our trauma center seems to be rampant and well above the national average. Geriatric falls were associated with using ≥1 PIM and multiple specific PIMs implicated. We are designing a targeted educational program for local primary care physicians (PCPs) that will attempt to decrease geriatric PIM use.

Evaluation of: Thorpe JM, Thorpe CT, Kennelty KA, Gellad WF, Schulz R. The impact of family caregivers on potentially inappropriate medication use in noninstitutionalized older adults with dementia. Am. J. Geriatr. Pharmacother. 10(4), 230–241 (2012). The risk of potentially inappropriate medication (PIM), both prescription and over-the-counter use, in dementia patients is high. Informal caregivers often facilitate patients’ use of medications, but the effect of caregiver factors on PIM use has not been a focus of previous research. The aim of this study was to examine PIM use in dementia patients and caregivers, and identify caregiver risk factors for PIM use in dementia patients. The authors conducted a secondary data analysis of the baseline wave of the Resources for Enhancing Alzheimer’s Caregiver’s Health study. The sample comprised 566 persons with dementia aged 65 years and older and their co-residing family caregiver. PIM was defined using the 2003 Beers criteria and was examined in both dementia patients and their caregivers. Caregiver and patient risk factors included a range of sociodemographic and health variables. In dementia patients, 33% were taking at least one PIM and 39% of their caregivers were also taking a PIM. In fully adjusted models, the following caregiver factors were associated with an increased risk of dementia patient PIM use: caregiver’s own PIM use, spouse caregivers, Hispanic caregivers and greater number of years that the caregiver has lived in the USA. Increased caregiver age was associated with a decreased risk of PIM use in patients. PIM use may be higher in dementia patients and their informal caregivers compared with the general older adult population. Furthermore, patterns of medication use in one member of the dyad may influence PIM risk in the other dyad member. These results suggest that interventions to increase appropriate medication use in dementia patients and their caregivers should target both members of the dyad and target over-the-counter agents along with prescription medications.

Associations of potentially inappropriate medication use with four year survival of an inception cohort of nursing home residents

Serving Culturally and Linguistically Diverse Patients in Audiology-Part 2: Promoting Health Literacy