Factors Important to Older Adults Who Disagree With a Deprescribing Recommendation.

IMPORTANCE Little is known about why older adults decline deprescribing recommendations, primarily because interventional studies rarely capture the reasons. OBJECTIVE To examine factors important to older adults who disagree with a deprescribing recommendation given by a primary care physician to a hypothetical patient experiencing polypharmacy. DESIGN, SETTING, AND PARTICIPANTS This online, vignette-based survey study was conducted from December 1, 2020, to March 31, 2021, with participants 65 years or older in the United Kingdom, the US, Australia, and the Netherlands. The primary outcome of the main study was disagreement with a deprescribing recommendation. A content analysis was subsequently conducted of the free-text reasons provided by participants who strongly disagreed or disagreed with deprescribing. Data were analyzed from August 22, 2022, to February 12, 2023. MAIN OUTCOMES AND MEASURES Attitudes, beliefs, fears, and recommended actions of older adults in response to deprescribing recommendations. RESULTS Of the 899 participants included in the analysis, the mean (SD) age was 71.5 (4.9) years; 456 participants (50.7%) were men. Attitudes, beliefs, and fears reported by participants included doubts about deprescribing (361 [40.2%]), valuing medications (139 [15.5%]), and a preference to avoid change (132 [14.7%]). Valuing medications was reported more commonly among participants who strongly disagreed compared with those who disagreed with deprescribing (48 of 205 [23.4%] vs 91 of 694 [13.1%], respectively; P < .001) or had personal experience with the same medication class as the vignette compared with no experience (93 of 517 [18.0%] vs 46 of 318 [12.1%], respectively; P = .02). Participants shared that improved communication (225 [25.0%]), alternative strategies (138 [15.4%]), and consideration of medication preferences (137 [15.2%]) may increase their agreement with deprescribing. Participants who disagreed compared with those who strongly disagreed were more interested in additional communication (196 [28.2%] vs 29 [14.2%], respectively; P < .001), alternative strategies (117 [16.9%] vs 21 [10.2%], respectively; P = .02), or consideration of medication preferences (122 [17.6%] vs 15 [7.3%], respectively; P < .001). CONCLUSIONS AND RELEVANCE In this survey study, older adults who disagreed with a deprescribing recommendation were more interested in additional communication, alternative strategies, or consideration of medication preferences compared with those who strongly disagreed. These findings suggest that identifying the degree of disagreement with deprescribing could be used to tailor patient-centered communication about deprescribing in older adults

The Patient Typology about deprescribing and medication-related decisions: A quantitative exploration.

This study aimed to test the adequacy of a quantitative measure of our qualitatively-developed Patient Typology - categories of older adults' attitudes towards medicines and medicine decision-making - and identify characteristics associated with each Typology. We conducted secondary data analyses of a subset of survey item measures of adults (≥65 years) who were members of online survey panels in Australia, the UK, the US, and the Netherlands (n=4,688). Multinomial logistic regression analyses assessed associations between demographic, psychosocial, and medication-related measures. Mean age was 71.5 (5) and 47.5% of participants were female. Factors associated with an increased likelihood of identifying with Typology 1 'Attached to medicines' over Typology 2 'Open to deprescribing' were higher positive attitude towards polypharmacy (RRR=1.12, p =<.001) and higher need for certainty (RRR=1.11, p=.039). Factors associated with an increased likelihood of identifying with Typology 3 'Defers (medication decision-making) to others' over Typology 2 were older age (RRR=1.47 per 10-year age increase, p=<.001) and a decreased likelihood of prior deprescribing experience (RRR=0.73, p=.033). This study provides validation of the Typology with large samples from four countries, with the quantitatively-measured typologies generally aligning with the qualitatively-derived categories. Our Patient Typology measure provides a succinct way researchers can assess attitudes towards deprescribing

Using the Plan-Do-Study-Act (PDSA) Model for Continuous Quality Improvement of an Established Simulated Patient Program

Objective: To describe the use of a continuous quality improvement process for strengthening our simulated patient (SP) program and the initial steps that have been implemented.&nbsp; Innovation: A workgroup that included five clinical faculty with significant experience working with SPs and a strong interest in improving the SP program was developed.&nbsp; The Plan-Do-Study-Act model was used as it allowed for incremental quality improvement changes, in order to ensure a high-quality SP program designed to optimize student learning.&nbsp; Data were gathered from students, SPs, and faculty. Opportunities for improvement were prioritized based on anticipated benefits and available resources.&nbsp; Changes related to planning, implementation, and evaluation and feedback have been executed. Critical Analysis: Changes related to planning that were implemented included developing handbooks for SPs, faculty, and graduate student instructors, as well as material for students in order to better describe the program.&nbsp; SPs are now referred to as “simulated” as opposed to “standardized” as part of a broader effort to clarify the purpose of SP interactions to students.&nbsp; Streamlined rubrics have been piloted, including electronic rubrics for first year students.&nbsp; SPs are being trained on fewer cases, in order to improve the training program.&nbsp; When possible, activities now take place in one large classroom instead of many small classrooms to improve oversight.&nbsp; Finally, additional feedback has been obtained from SPs via a retreat.&nbsp; These changes have been well received by students, SPs, and faculty.&nbsp;&nbsp;&nbsp; Next Steps: The collection of this data and initial quality improvement changes provided a basis for hiring a full-time employee who will: dedicate 50% of their time to programmatic assessment of the SP program, support faculty with logistics and training, and be the face of our program to the students and SPs. Further, formal quantitative and qualitative assessment of the SP program has begun. &nbsp; Type:&nbsp; Not

Improving hypertension control through a collaboration between an academic medical center and a chain community pharmacy

IntroductionApproximately one-third of adults in the United States have hypertension (HTN), leading to increased morbidity and mortality.ObjectivesThis quality improvement intervention was designed to improve HTN control among community-dwelling adults through collaboration between patient-centered medical homes (PCMH) within an academic medical center and chain community pharmacies.MethodsFour PCMH sites in Ann Arbor, Michigan that were in close proximity to two Meijer pharmacies participated in this study between September 2016 and March 2017, which compared HTN outcomes for patients seen at two community pharmacies where the pharmacists received training on HTN management for patients who received usual care at their PCMH. The primary outcome was percent of patients who met their blood pressure (BP) goal of either <140/90-mmHg or-<-150/90-mmHg compared with matched controls who received usual care at the PCMH. Secondary outcomes included number of medication recommendations made, percent of recommendations accepted by the primary care provider (PCP), and patient satisfaction.ResultsPatients who received care at the community pharmacy (n = 155) had a higher rate of BP control at 3-months than matched controls (61.8% vs 47.7%, P = 0.013). A total of 29 medication recommendations were made by community pharmacists and 26 were accepted by the PCP. Nearly 95% of patients rated the care they received as excellent or very good and over 95% stated that they would recommend the pharmacist at the Meijer pharmacy to their family and friends.ConclusionPatients who received HTN management services as part of a collaboration between an academic medical center and chain community pharmacy were significantly more likely to have controlled BP at 3-months compared with matched controls who received standard care. This model shows promise as being a strategy to expand access to care for patients while being mutually beneficial for community pharmacies and health systems.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/151336/1/jac51158_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/151336/2/jac51158.pd

The Impact of Rurality and Age on Colorectal Cancer Screening Among Michigan Residents

Background: Colorectal cancer (CRC) is a prevalent cause of cancer-related deaths in Michigan, but not all Michigan adults had appropriate CRC screening. Objective: To assess the relationship between rurality and age on CRC screenings to inform how pharmacists could focus their efforts to educate, facilitate, or offer CRC health screenings. Methods: This was a retrospective, cross-sectional study using 2018 Michigan Behavioral Risk Factor Surveillance System (MiBRFSS) survey data. Michigan participants aged ≥ 50 years were included. Outcomes included the utilization of stool-based tests, sigmoidoscopies, colonoscopies, and the most recent CRC screening. Demographic variables included age, sex, income, race/ethnicity, relationship status, education level, employment status, income, rurality, and health insurance. Representative sampling weights were used to adjust for the complex survey design. Descriptive statistics, chi-square, and multivariable logistic regression analyses were conducted. IBM SPSS version 28.0.1.0 was used and an a priori p-value of <0.05 was deemed significant. Results: A weighted total of 3,762,540 participants were included, of which 21.3% (n = 781,907) reported living in a rural area and approximately 70% (n = 2,616,646) were between the ages of 50-69 years old. Most participants reported being White, non-Hispanic (n = 3,104,117, 84.5%), having health insurance (n = 3,619,801, 96.4%), and having a colonoscopy (74.6%, n= 2,620,581). There was no difference based on rurality. Compared to those aged 50-59 years, adults 60-69 years (AOR = 1.97, 95% CI: 1.58,2.45), 70-79 years (AOR = 3.29, 95% CI: 2.40,4.51), and ≥ 80 years (AOR = 2.23, 95% CI: 1.54,3.24) had higher odds of receiving a colonoscopy. Lack of insurance was associated with lower odds of receiving a colonoscopy (AOR = 0.38, 95% CI: 0.23, 0.56). Conclusion: Most participants reported having a CRC screening but efforts to increase CRC screening in Michigan adults aged 50-59 are warranted

A systematic review on the use of virtual patient and computer-based simulation for experiential pharmacy education

Background: Simulation use is rapidly expanding, with technologies like virtual patients (VPs) and computer-based simulation (CBS) allowing for educators to equip pharmacy students with the necessary skills that are aligned with the demands and expectations of a practicing pharmacy professional. These technologies enable pharmacy students to be exposed to challenging or infrequent patient case scenarios in an authentic pharmacy setting. This allows for the reinforcing of care processes and for techniques and crucial skills to be applied. Aim of the study: To consolidate the existing evidence regarding the utilization of VPs and CBS in preparing and supporting students in pharmacy experiential education and evaluate the effectiveness of these approaches in enhancing student pharmacists' learning outcomes, including knowledge, skills, confidence, enjoyment, and engagement. Methods: Five electronic databases were searched using combined keyword and indexing terms (when available) with Boolean operators for the literature search. Studies that reported or investigated the use of VPs and CBS in pharmacy experiential education were included. Data on study design, demographics of participants, information on the interventions, course/skills, primary and secondary outcomes, and qualitative findings were extracted. Results: A total of 911 unique articles were initially identified and filtered down to 19 articles fitting within the inclusion criteria. The selected 19 articles involved student pharmacists (Y1-Y5) and pre-registered pharmacists from ten countries. Simulation tools were used in various pharmacy courses, including Advanced Pharmacy Practice Experience (APPE), Advanced Pharmaceutical Care II, and Medication Management. Implementing these tools in pharmacy experiential education demonstrated a statistically significant improvement in student knowledge (p < 0.05). Most students agreed/strongly agreed that practicing with virtual patient cases enhanced their clinical reasoning, counseling skills, confidence in communication, and attitudes toward the courses. Conclusions: This systematic review supports the use of VPs and CBS in pharmacy experiential education and provides practical recommendations for educators including selecting suitable tools, implementing them strategically within courses, integrating them with existing activities, and considering financial and IT support

Reasons why older adults in three countries agreed with a deprescribing recommendation in a hypothetical vignette.

The purpose of this study was to examine factors important to older adults who agreed with a deprescribing recommendation given from a General Practitioner (GP) to a hypothetical patient experiencing polypharmacy. We conducted an online, vignette-based, experimental study in the United Kingdom, United States, and Australia with participants ≥65 years. The primary outcome was agreement with a deprescribing recommendation (6-point Likert scale; 1=strongly disagree and 6=strongly agree). We performed a content analysis of the free text reasons provided by participants who agreed with deprescribing (score of 5 or 6). Among 2,656 participants who agreed with deprescribing, approximately 53.7% shared a preference for following the GP's recommendation or considered the GP the expert. The medication was referred to as a reason for deprescribing by 35.6% of participants. Less common themes included personal experience with the medicine (4.3%) and older age (4.0%). Older adults who agreed with deprescribing in a hypothetical vignette most frequently reported a desire to follow the recommendations given the GP's expertise. Future research should be conducted to help clinicians efficiently identify patients who have a strong desire to follow the doctor's recommendations related to deprescribing as this may allow for a tailored, brief deprescribing conversation

Evolution of Interdisciplinary Geriatric Transitions of Care on Readmission Rates

OBJECTIVES: To evaluate the effect of an interdisciplinary transitions of care (TOC) service on readmission rates in a geriatric population. STUDY DESIGN: Single-center retrospective cohort study of adults 60 years or older discharged from an academic medical center. METHODS: From July 1, 2013, to February 21, 2016, a total of 4626 patients discharged from 1 hospital, including inpatient, emergency department, observation, and short-stay units, were included. Cases were scheduled for a TOC service with the interdisciplinary team. Controls received usual care at other sites. All-cause 14-, 30-, and 90-day readmission rates between propensity score-matched study groups were evaluated by intention-to-treat (ITT), per-protocol (PP), and as-treated methods. RESULTS: During the study period, 513 patients were scheduled for at least 1 component of the TOC intervention (ITT group). Of those patients, 215 completed all scheduled visits (PP group). Readmission rate after 30 days demonstrated no difference in the ITT group compared with the control group (12.8% vs 10.7%; P = .215), although it was significantly lower in the PP group in comparison with the control group (12.8% vs 7.9%; P = .042). CONCLUSIONS: An interdisciplinary team based in a patient-centered medical home improved readmission rates for all patients who completed the intervention (PP group)