Having a Say in Patient Care: Factors Associated with High and Low Voice among Home Care Workers.

OBJECTIVES: To identify factors associated with high and low "voice"-or level of input in patient care decisions-among home care workers (HCWs), an often marginalized workforce that provides care in the home to older adults and those with chronic conditions. DESIGN: We conducted a secondary analysis of data from a cross-sectional survey assessing experiences of HCWs in caring for adults with heart failure. The survey measured HCWs' voice using a validated, 5-item instrument. SETTING AND PARTICIPANTS: The survey was conducted virtually from June 2020 to July 2021 in partnership with the 1199 Service Employees International Union (1199SEIU) Training and Employment Funds, a union labor management fund. English- or Spanish-speaking HCWs employed by a certified or licensed home care agency in New York, NY, were eligible. METHODS: HCW voice was the main outcome of interest, which we assessed by tertiles (low, medium, and high, with medium as the referent group). Using multinominal logistic regression, we calculated odds ratios (ORs) and 95% CIs for the relationship between participant characteristics and low and high levels of voice. RESULTS: The 261 HCWs had a mean age of 48.4 years (SD 11.9), 96.6% were female, and 44.2% identified as Hispanic. A total of 38.7% had low voice, 37.9% had medium voice, and 23.4% had high voice. In the adjusted model, factors associated with low voice included Spanish as a primary language (OR 3.71, P = .001), depersonalization-related burnout (OR 1.14, P = .04), and knowing which doctor to call (OR 0.19, P < .001). Factors associated with high voice included Spanish as a primary language (OR 2.61, P = .04) and job satisfaction (OR 1.22, P = .001). CONCLUSIONS AND IMPLICATIONS: Organizational factors such as team communication practices-including among non-English speakers-may play an important role in HCW voice. Improving HCW voice may help retain HCWs in the workforce, but future research is needed to evaluate this.

A Prospective Observational Cohort Study of Language Preference and Preoperative Cognitive Screening in Older Adults: Do Language Disparities Exist in Cognitive Screening and Does the Association Between Test Results and Postoperative Delirium Differ Based on Language Preference?

BACKGROUND: A greater percentage of surgical procedures are being performed each year on patients 65 years of age or older. Concurrently, a growing proportion of patients in English-speaking countries such as the United States, United Kingdom, Australia, and Canada have a language other than English (LOE) preference. We aimed to measure whether patients with LOE underwent cognitive screening at the same rates as their English-speaking counterparts when routine screening was instituted. We also aimed to measure the association between preoperative Mini-Cog and postoperative delirium (POD) in both English-speaking and LOE patients. METHODS: We conducted a single-center, observational cohort study in patients 65 years old or older, scheduled for surgery and evaluated in the preoperative clinic. Cognitive screening of older adults was recommended as an institutional program for all patients 65 and older presenting to the preoperative clinic. We measured program adherence for cognitive screening. We also assessed the association of preoperative impairment on Mini-Cog and POD in both English-speaking and LOE patients, and whether the association differed for the 2 groups. A Mini-Cog score ≤2 was considered impaired. Postoperatively, patients were assessed for POD using the Confusion Assessment Method (CAM) and by systematic chart review. RESULTS: Over a 3-year period (February 2019-January 2022), 2446 patients 65 years old or older were assessed in the preoperative clinic prior. Of those 1956 patients underwent cognitive screening. Eighty-nine percent of English-speaking patients underwent preoperative cognitive screening, compared to 58% of LOE patients. The odds of having a Mini-Cog assessment were 5.6 times higher (95% confidence interval [CI], 4.6-7.0) P < .001 for English-speaking patients compared to LOE patients. In English-speaking patients with a positive Mini-Cog screen, the odds of having postop delirium were 3.5 times higher (95% CI, 2.6-4.8) P < .001 when compared to negative Mini-Cog. In LOE patients, the odds of having postop delirium were 3.9 times higher (95% CI, 2.1-7.3) P < .001 for those with a positive Mini-Cog compared to a negative Mini-Cog. The difference between these 2 odds ratios was not significant (P = .753). CONCLUSIONS: We observed a disparity in the rates LOE patients were cognitively screened before surgery, despite the Mini-Cog being associated with POD in both English-speaking and LOE patients. Efforts should be made to identify barriers to cognitive screening in limited English-proficient older adults.

Cumulative Update of a Systematic Overview Evaluating Interventions Addressing Polypharmacy.

Importance: Polypharmacy is associated with mortality, falls, hospitalizations, and functional and cognitive decline. The study of polypharmacy-related interventions has increased substantially, prompting the need for an updated, more focused systematic overview. Objective: To systematically evaluate and summarize evidence across multiple systematic reviews (SRs) examining interventions addressing polypharmacy. Evidence Review: A search was conducted of MEDLINE, the Cochrane Database of Systematic Reviews, and the Database of Abstracts of Reviews of Effects for articles published from January 2017-October 2022, as well as those identified in a previous overview (January 2004-February 2017). Systematic reviews were included regardless of study design, setting, or outcome. The evidence was summarized by 4 categories: (1) medication-related process outcomes (eg, potentially inappropriate medication [PIM] and potential prescribing omission reductions), (2) clinical and functional outcomes, (3) health care use and economic outcomes, and (4) acceptability of the intervention. Findings: Fourteen SRs were identified (3 from the previous overview), 7 of which included meta-analyses, representing 179 unique published studies. Nine SRs examined medication-related process outcomes (low to very low evidence quality). Systematic reviews using pooled analyses found significant reductions in the number of PIMs, potential prescribing omissions, and total number of medications, and improvements in medication appropriateness. Twelve SRs examined clinical and functional outcomes (very low to moderate evidence quality). Five SRs examined mortality; all mortality meta-analyses were null, but studies with longer follow-up periods found greater reductions in mortality. Five SRs examined falls incidence; results were predominantly null save for a meta-analysis in which PIMs were discontinued. Of the 8 SRs examining quality of life, most (7) found predominantly null effects. Ten SRs examined hospitalizations and readmissions (very low to moderate evidence quality) and 4 examined emergency department visits (very low to low evidence quality). One SR found significant reductions in hospitalizations and readmissions among higher-intensity medication reviews with face-to-face patient components. Another meta-analysis found a null effect. Of the 7 SRs without meta-analyses for hospitalizations and readmissions, all had predominantly null results. Two of 4 SRs found reductions in emergency department visits. Two SRs examined acceptability (very low evidence quality), finding wide variation in the adoption of polypharmacy-related interventions. Conclusions and Relevance: This updated systematic overview noted little evidence of an association between polypharmacy-related interventions and reduced important clinical and health care use outcomes. More evidence is needed regarding which interventions are most useful and which populations would benefit most.

Developing an electronic health record measure of low-value esophagogastroduodenoscopy for GERD at a large academic health system.

OBJECTIVES: Low-value esophagogastroduodenoscopies (EGDs) for uncomplicated gastro-oesophageal reflux disease (GERD) can harm patients and raise patient and payer costs. We developed an electronic health record (EHR) 'eMeasure' to detect low-value EGDs. DESIGN: Retrospective cohort of 518 adult patients diagnosed with GERD who underwent initial EGD between 1 January 2019 and 31 December 2019. SETTING: Outpatient primary care and gastroenterology clinics at a large, urban, academic health centre. PARTICIPANTS: Adult primary care patients at the University of California Los Angeles who underwent initial EGD for GERD in 2019. MAIN OUTCOME MEASURES: EGD appropriateness criteria were based on the American College of Gastroenterology 2012 guidelines. An initial EGD was considered low-value if it lacked a documented guideline-based indication, including alarm symptoms (eg, iron-deficiency anaemia); failure of an 8-week proton pump inhibitor trial or elevated Barrett's oesophagus risk. We performed manual chart review on a random sample of 204 patients as a gold standard of the eMeasure's validity. We estimated EGD costs using Medicare physician and facility fee rates. RESULTS: Among 518 initial EGDs performed (mean age 53 years; 54% female), the eMeasure identified 81 (16%) as low-value. The eMeasure's sensitivity was 42% (95% CI 22 to 61) and specificity was 93% (95% CI 89 to 96). Stratifying across clinics, 62 (74.6%) low-value EGDs originated from 2 (12.5%) out of 16 clinics. Total cost for 81 low-value EGDs was approximately US$75 573, including US$14 985 in patients' out-of-pocket costs. CONCLUSIONS: We developed a highly specific eMeasure that showed that low-value EGDs occurred frequently in our healthcare system and were concentrated in a minority of clinics. These results can inform future QI efforts at our institution, such as best practice alerts for the ordering physician. Moreover, this open-source eMeasure has a much broader potential impact, as it can be integrated into any EHR and improve medical decision-making at the point of care.

A Multisite Electronic Health Record Integrated Remote Monitoring Intervention for Hypertension Improvement: Protocol for a Randomized Pragmatic Comparative Effectiveness Trial.

BACKGROUND: Hypertension is a major contributor to various adverse health outcomes. Although previous studies have shown the benefits of home blood pressure (BP) monitoring over office-based measurements, there is limited evidence comparing the effectiveness of whether a BP monitor integrated into the electronic health record is superior to a nonintegrated BP monitor. OBJECTIVE: In this paper, we describe the protocol for a pragmatic multisite implementation of a quality improvement initiative directly comparing integrated to nonintegrated BP monitors for hypertension improvement. METHODS: We will conduct a randomized, comparative effectiveness trial at 3 large academic health centers across California. The 3 sites will enroll a total of 660 participants (approximately n=220 per site), with 330 in the integrated BP monitor arm and 330 in the nonintegrated BP control arm. The primary outcome of this study will be the absolute difference in systolic BP in mm Hg from enrollment to 6 months. Secondary outcome measures include binary measures of hypertension (controlled vs uncontrolled), hypertension-related health complications, hospitalizations, and death. The list of possible participants will be generated from a central data warehouse. Randomization will occur after enrollment in the study. Participants will use their assigned BP monitor and join site-specific hypertension interventions. Cross-site learning will occur at regular all-site meetings facilitated by the University of California, Los Angeles Value-Based Care Research Consortium. A pre- and poststudy questionnaire will be conducted to further evaluate participants' perspectives regarding their BP monitor. Linear mixed effects models will be used to compare the primary outcome measure between study arms. Mixed effects logistic regression models will be used to compare secondary outcome measures between study arms. RESULTS: The study will start enrolling participants in the second quarter of 2023 and will be completed by the first half of 2024. Results will be published by the end of 2024. CONCLUSIONS: This pragmatic trial will contribute to the growing field of chronic care management using remote monitoring by answering whether a hypertension intervention coupled with an electronic health record integrated home BP monitor improves patients' hypertension better than a hypertension intervention with a nonintegrated BP monitor. The outcomes of this study may help health system decision makers determine whether to invest in integrated BP monitors for vulnerable patient populations. TRIAL REGISTRATION: ClinicalTrials.gov NCT05390502; clinicaltrials.gov/study/NCT05390502. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/45915.

Choosing Wisely interventions to reduce antibiotic overuse in the safety net.

OBJECTIVES: Physician pay-for-performance (P4P) programs frequently target inappropriate antibiotics. Yet little is known about P4P programs' effects on antibiotic prescribing among safety-net populations at risk for unintended harms from reducing care. We evaluated effects of P4P-motivated interventions to reduce antibiotic prescriptions for safety-net patients with acute respiratory tract infections (ARTIs). STUDY DESIGN: Interrupted time series. METHODS: A nonrandomized intervention (5/28/2015-2/1/2018) was conducted at 2 large academic safety-net hospitals: Los Angeles County+University of Southern California (LAC+USC) and Olive View-UCLA (OV-UCLA). In response to California's 2016 P4P program to reduce antibiotics for acute bronchitis, 5 staggered Choosing Wisely-based interventions were launched in combination: audit and feedback, clinician education, suggested alternatives, procalcitonin, and public commitment. We also assessed 5 unintended effects: reductions in Healthcare Effectiveness Data and Information Set (HEDIS)-appropriate prescribing, diagnosis shifting, substituting antibiotics with steroids, increasing antibiotics for ARTIs not penalized by the P4P program, and inappropriate withholding of antibiotics. RESULTS: Among 3583 consecutive patients with ARTIs, mean antibiotic prescribing rates for ARTIs decreased from 35.9% to 22.9% (odds ratio [OR], 0.60; 95% CI, 0.39-0.93) at LAC+USC and from 48.7% to 27.3% (OR, 0.81; 95% CI, 0.70-0.93) at OV-UCLA after the intervention. HEDIS-inappropriate prescribing rates decreased from 28.9% to 19.7% (OR, 0.69; 95% CI, 0.39-1.21) at LAC+USC and from 40.9% to 12.5% (OR, 0.72; 95% CI, 0.59-0.88) at OV-UCLA. There was no evidence of unintended consequences. CONCLUSIONS: These real-world multicomponent interventions responding to P4P incentives were associated with substantial reductions in antibiotic prescriptions for ARTIs in 2 safety-net health systems without unintended harms.

Embedding research study recruitment within the patient portal preCheck-in.

OBJECTIVE: Patient portals are increasingly used to recruit patients in research studies, but communication response rates remain low without tactics such as financial incentives or manual outreach. We evaluated a new method of study enrollment by embedding a study information sheet and HIPAA authorization form (HAF) into the patient portal preCheck-in (where patients report basic information like allergies). MATERIALS AND METHODS: Eligible patients who enrolled received an after-visit patient-reported outcomes survey through the patient portal. No additional recruitment/messaging efforts were made. RESULTS: A total of 386 of 843 patients completed preCheck-in, 308 of whom signed the HAF and enrolled in the study (37% enrollment rate). Of 93 patients who were eligible to receive the after-visit survey, 45 completed it (48% completion rate). CONCLUSION: Enrollment and survey completion rates were higher than what is typically seen with recruitment by patient portal messaging, suggesting that preCheck-in recruitment can enhance research study recruitment and warrants further investigation.

Estimated Annual Spending on Lecanemab and Its Ancillary Costs in the US Medicare Program.

This cross-sectional cost analysis uses data from the 2018 Health and Retirement Study to estimate the potential future Medicare spending and beneficiary costs for lecanemab.

Comparing risk prediction models aimed at predicting hospitalizations for adverse drug events in community dwelling older adults: a protocol paper.

Background: The objective of this paper is to describe the creation, validation, and comparison of two risk prediction modeling approaches for community-dwelling older adults to identify individuals at highest risk for adverse drug event-related hospitalizations. One approach will use traditional statistical methods, the second will use a machine learning approach. Methods: We will construct medication, clinical, health care utilization, and other variables known to be associated with adverse drug event-related hospitalizations. To create the cohort, we will include older adults (≥ 65 years of age) empaneled to a primary care physician within the Cedars-Sinai Health System primary care clinics with polypharmacy (≥ 5 medications) or at least 1 medication commonly implicated in ADEs (certain oral hypoglycemics, anti-coagulants, anti-platelets, and insulins). We will use a Fine-Gray Cox proportional hazards model for one risk modeling approach and DataRobot, a data science and analytics platform, to run and compare several widely used supervised machine learning algorithms, including Random Forest, Support Vector Machine, Extreme Gradient Boosting (XGBoost), Decision Tree, Naïve Bayes, and K-Nearest Neighbors. We will use a variety of metrics to compare model performance and to assess the risk of algorithmic bias. Discussion: In conclusion, we hope to develop a pragmatic model that can be implemented in the primary care setting to risk stratify older adults to further optimize medication management.

A pragmatic parallel arm randomized-controlled trial of a multi-pronged electronic health record-based clinical decision support tool protocol to reduce low-value antipsychotic prescriptions among older adults with Alzheimer's and related dementias.

Among patients with Alzheimer's disease and its related dementias (ADRD) with behavioral disturbances, antipsychotic prescriptions have limited efficacy and increase the risk of death. Yet, physicians continue to routinely prescribe low-value antipsychotic medications for behavioral disturbances among patients with ADRD. We designed a pragmatic randomized-controlled trial to measure the impact of a behavioral economic electronic health record (EHR) clinical decision support (CDS) intervention to reduce physician prescriptions of new antipsychotic medications among patients with ADRD. Utilizing a pragmatic parallel arm randomized-controlled trial design, the study will randomize eligible physicians from a large academic health system to either receive a EHR CDS intervention or not (control) when they prescribe a new antipsychotic medication during visits with patients with ADRD. The intervention will include three components: 1) alerts prescribers that antipsychotic prescriptions increase mortality risk (motivating physicians' intrinsic desire for non-malfeasance); 2) offers non-pharmacological behavioral resources for caregivers; 3) auto-defaults the prescription to contain the lowest dose and number of pill-days (n = 30) without refills if the prescriber does not cancel the order (appealing to default bias). Over 1 year, we will compare the cumulative total of new antipsychotic pill-days prescribed (primary outcome) by physicians in the intervention group versus in the control group. The study protocol meets international SPIRIT guidelines. Behavioral economics, or the study of human behavior as a function of more than rational incentives, considering a whole host of cognitive and social psychological preferences, tendencies, and biases, is increasingly recognized as an important conceptual framework to improve physician behavior. This pragmatic trial is among the first to combine two distinct behavioral economic principles, a desire for non-malfeasance and default bias, to improve physician prescribing patterns for patients with ADRD. We anticipate this trial will substantially advance understanding of how behavioral-economic informed EHR CDS tools can potentially reduce harmful, low-value care among patients with ADRD.

Cohort design to assess the association between post-hospital primary care physician follow-up visits and hospital readmissions.

While multifaceted post-hospitalization interventions can succeed in preventing hospital readmissions, many of these interventions are labor-intensive and costly. We hypothesized that a timely post-discharge primary care physician (PCP) visit alone might prevent hospital readmission. We conducted a retrospective cohort study to assess whether post-hospitalization PCP visits within 14 days of discharge were associated with lower rates of 30-day hospital readmission. In a secondary analysis we also assessed: whether visits with a PCP at 7-days post-discharge changed rates of hospital readmissions and whether post-hospitalization PCP visits were associated with decreased 90-day hospital readmissions. We included all adults with a PCP who were discharged from an inpatient medical service in a large, urban integrated academic health system from January 1, 2019 to September 9, 2019 in our analysis. We performed unadjusted bivariate analyses to measure the associations between having a PCP visit within 14 and 7 days of discharge and hospital readmission within 30 and 90 days. Then we constructed multivariate logistic regression models including patient medical and utilization characteristics to estimate the adjusted odds of a patient with a post-hospitalization PCP visit experiencing a 30-day hospital readmission (primary outcome) and 90-day readmission (secondary outcome). A total of 9236 patients were discharged; mean age was 57.9 years and 59.7% were female. Of the study population, 35.6% (n = 3284) and 24.1% (n = 2224) of patients had a post-hospitalization PCP visit within 14 days and or 7 days, respectively. Overall, 1259 (13.6%) and 2153 (23.3%) of discharged patients were readmitted at 30 and 90 days, respectively. In unadjusted analyses, having a post discharge PCP visit was not associated with decreased hospital readmission rates, but after adjusting for sociodemographic, medical and utilization characteristics, having a post-hospitalization PCP visit at 14 and 7 days was associated with lower hospital readmission rates at 30 days: 0.68 (95% CI 0.59-0.79) and 0.76 (95% CI 0.66-0.89), respectively; and 90 days: 0.76 (95% CI 0.68-0.85) and 0.80 (95% CI 0.70-0.91), respectively. In this large integrated urban academic health system, having a post-hospitalization PCP visit within 14- and 7-days of hospital discharge was associated with lower rates of readmission at 30 and 90 days. Further studies should examine whether improving access to PCP visits post hospitalization reduces readmissions rates.

Association Between In-Person vs Telehealth Follow-up and Rates of Repeated Hospital Visits Among Patients Seen in the Emergency Department.

Importance: For patients discharged from the emergency department (ED), timely outpatient in-person follow-up is associated with improved mortality, but the effectiveness of telehealth as follow-up modality is unknown. Objective: To evaluate whether the rates of ED return visits and hospitalization differ between patients who obtain in-person vs telehealth encounters for post-ED follow-up care. Design, Setting, and Participants: This retrospective cohort study included adult patients who presented to either of 2 in-system EDs of a single integrated urban academic health system from April 1, 2020, to September 30, 2021; were discharged home; and obtained a follow-up appointment with a primary care physician within 14 days of their index ED visit (15 total days). Exposures: In-person vs telehealth post-ED discharge follow-up within 14 days. Main Outcomes and Measures: Multivariable logistic regression was used to estimate the odds of ED return visits (primary outcome) or hospitalization (secondary outcome) within 30 days of an ED visit based on the modality of post-ED discharge follow-up. Models were adjusted for age, sex, primary language, race, ethnicity, Social Vulnerability Index, insurance type, distance to the ED, ambulatory billing codes for the index visit, and the time from ED discharge to follow-up. Results: Overall, 12 848 patients with 16 987 ED encounters (mean [SD] age, 53 [20] years; 9714 [57%] women; 2009 [12%] Black or African American; 3806 [22%] Hispanic or Latinx; and 9858 [58%] White) were included; 11 818 (70%) obtained in-person follow-up, and 5169 (30%) obtained telehealth follow-up. Overall, 2802 initial ED encounters (17%) led to returns to the ED, and 676 (4%) led to subsequent hospitalization. In adjusted analyses, telehealth vs in-person follow-up visits were associated with increased rates of ED returns (28.3 [95% CI, 11.3-45.3] more ED returns per 1000 encounters) and hospitalizations (10.6 [95% CI, 2.9-18.3] more hospitalizations per 1000 encounters). Conclusions and Relevance: In this cohort study of patients in an urban integrated health care system, those with telehealth follow-up visits after an ED encounter were more likely to return to the ED and be hospitalized than patients with in-person follow-up. The use of telehealth warrants further evaluation to examine its effectiveness as a modality for continuing care after an initial ED presentation for acute illness.

Beyond p Values: A Qualitative Evaluation of the Aging Mastery Program Implementation in Los Angeles County.

BACKGROUND: The National Council on Aging's Aging Mastery Program (AMP) aims to help older adults implement health behavior and lifestyle changes to promote healthy aging. The purpose of this community-partnered evaluation was to assess the effectiveness of the implementation in Los Angeles, and understand participant outcomes beyond the findings of a randomized waitlist controlled trial. OBJECTIVES: The purpose of this qualitative process evaluation was to deepen our understanding of participant outcomes and potential site-level implementation issues with the randomized waitlist controlled trial, as participant and site lead satisfaction ratings were very high. METHODS: After the intervention was completed, interviews were conducted with site directors to understand potential challenges or barriers in the implementation of AMP, participant feedback were reviewed for common themes, and focus groups were conducted to elicit additional insight feedback. RESULTS: Analysis of interviews with site directors revealed that the study design was characterized by its complexity, but that the overall AMP program was very compatible with the sites' goals and met the needs of the participants. The participants reported greater interest in nutrition and healthy eating, the importance of exercise and 'preparing' for important life decisions, which were not captured through the measures used in the waitlist controlled trial. CONCLUSIONS: Future evaluations of the AMP should continue the use of mixed methods evaluation designs in order to understand both the quantitative and qualitative outcomes of the program, and consider including measures of other constructs, such as socialization, that have been identified by the participants.

Estimated Annual Spending on Aducanumab in the US Medicare Program.

This cross-sectional study examines upper bound and lower bound annualized Medicare costs for administering aducanumab to beneficiaries with the approved indications of mild cognitive impairment or mild dementia.