Reaching Ambulatory Older Adults with Educational Tools: Comparative Efficacy and Cost of Varied Outreach Modalities in Primary Care.

BACKGROUND: Providing patients with access to health information that can be obtained outside of an office visit is an important part of education, yet little is known about the effectiveness of outreach modalities to connect older adults to online educational tools. The objective was to identify the effectiveness and cost of outreach modalities providing online information about advance care planning (ACP) for older adults. METHODS: Six different outreach modalities were utilized to connect patients to online educational tools (ACP video decision aids). Participants were 13,582 patients aged 65 and older of 185 primary care providers with appointments over a 30-month period within a large health system in the greater New York City area. Main outcome measures were number of online video views and costs per outreach for each modality. KEY RESULTS: There were 1150 video views for 21,407 remote outreach events. Text messages, sent to the largest volume of patients (8869), had the highest outcome rate (9.6%) and were the most economical ($0.09). Characterization of phone calls demonstrated 21.7% engagement in the topic of ACP but resulted in minimal video views (<1%) and incurred the highest cost per outreach ($2.88). In-office handouts had negligible results (<1%). CONCLUSIONS: Text was the most cost-effective modality to connect older adults to an online educational tool in this pragmatic trial, though overall efficacy of all modalities was low.

Structural Barriers to Well-grounded Advance Care Planning for the Seriously Ill: a Qualitative Study of Clinicians' and Administrators' Experiences During a Pragmatic Trial.

BACKGROUND: Advance Care Planning (ACP) comprises an iterative communication process aimed at understanding patients' goals, values, and preferences in the context of considering and preparing for future medical treatments and decision making in serious illness. The COVID pandemic heightened patients' and clinicians' awareness of the need for ACP. OBJECTIVE: Our goal was to explore the experiences of clinicians and administrators in the context of an intervention to improve ACP during the COVID pandemic. DESIGN: Qualitative interview study. PARTICIPANTS: Clinicians and administrators across five sites that participated in the ACP-COVID trial. APPROACH: We conducted semi-structured, qualitative interviews examining the context and approach to ACP. Interviews were analyzed using template analysis to systematically organize the data and facilitate review across the categories and participants. Templates were developed with iterative input and line-by-line review by the analytic team, to reach consensus. Findings were then organized into emergent themes. KEY RESULTS: Across 20 interviews (4 administrators, 16 clinicians) we identified three themes related to how participants thought about ACP: (1) clinicians have varying views of what constitutes ACP; (2) the health system critically shapes ACP culture and norms; and (3) the centrality of clinicians' affective experience and own needs related to ACP. Varying approaches to ACP include a forms-focused approach; a discussion-based approach; and a parental approach. System features that shape ACP norms are (1) the primacy of clinician productivity measures; (2) the role of the EHR; and (3) the culture of quality improvement. CONCLUSIONS: Despite high organizational commitment to ACP, we found that the health system channeled clinicians' ACP efforts narrowly on completion of forms, in tension with the ideal of well-grounded ACP. This resulted in a state of moral distress that risks undermining confidence in the process of ACP and may increase risk of harm for patients, family/caregivers, and providers. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04660422.

The psychosocial health, experiences and needs of older adults and care partners during the first surge of the COVID-19 pandemic: a mixed-methods study.

BACKGROUND: Minimal research has leveraged qualitative data methods to gain a better understanding of the experiences and needs of older adults (OAs) and care partners of OAs with and without Alzheimer's Disease (AD) and AD-related dementias (AD/ADRD) during the first surge of the COVID-19 pandemic. In this study, we: 1) quantitatively evaluated the psychosocial health of community-dwelling OAs; 2) quantitatively evaluated the perceived stress of care partners for OAs; 3) qualitatively characterized the experiences and needs of community-dwelling OAs and their care partners; and 4) explored differences in the experiences of care partners of OAs with and without AD/ADRD during the first surge of the COVID-19 pandemic in the New York metropolitan area. METHODS: In this mixed-methods study, telephone interviews were conducted with 26 OAs and 29 care partners (16 of whom cared for OAs with AD/ADRD) from April to July 2020. Quantitative data included: demographics; clinical characteristics (Katz Index of independence in activities of daily living (Katz ADL) and the Lawton-Brody instrumental activities of daily living scale (Lawton-Brody)); and psychosocial health: stress was assessed via the Perceived Stress Scale (PSS), social isolation via the Lubben Social Network Scale (LSNS), loneliness via the DeJong Loneliness Scale (DeJong), and depression and anxiety via the Patient Health Questionnaire-Anxiety and Depression (PHQ). Qualitative questions focused on uncovering the experiences and needs of OAs and their care partners. RESULTS: OAs (N = 26) were mostly female (57.7%), and White (76.9%), average age of 81.42 years. While OAs were independent (M = 5.60, Katz ADL) and highly functional (M = 6.92, Lawton-Brody), and expressed low levels of loneliness, stress, depression and anxiety (M = 1.95 on DeJong; M = 12.67 on PSS; M = 1.05 on PHQ depression; and M = 1.09 on PHQ anxiety), open-ended questions elicited themes of fear and worry. Care partners (N = 29) were mostly female (75.9%), White (72.4%), and married (72.4%), and reported moderate stress (M = 16.52 on the PSS), as well as a psychological impact of the pandemic. CONCLUSIONS: Early in the pandemic, OAs reported minimal stress and loneliness; this may have been related to their reports of frequent interaction with family, even if only virtually. By contrast, care partners were moderately stressed and worried, potentially more than usual due to the additional challenges they face when trying to meet their loved ones' needs during a pandemic.

Psychosocial Determinants of Readmission After Surgery.

BACKGROUND: Quality of life and psychosocial determinants of health, such as health literacy and social support, are associated with increased health care utilization and adverse outcomes in medical populations. However, the effect on surgical health care utilization is less understood. OBJECTIVE: We sought to examine the effect of patient-reported quality of life and psychosocial determinants of health on unplanned hospital readmissions in a surgical population. RESEARCH DESIGN: This is a prospective cohort study using patient interviews at the time of hospital discharge from a Veterans Affairs hospital. SUBJECTS: We include Veterans undergoing elective inpatient general, vascular, or thoracic surgery (August 1, 2015-June 30, 2017). MEASURES: We assessed unplanned readmission to any medical facility within 30 days of hospital discharge. RESULTS: A total of 736 patients completed the 30-day postoperative follow-up, and 16.3% experienced readmission. Lower patient-reported physical and mental health, inadequate health literacy, and discharge home with help after surgery or to a skilled nursing or rehabilitation facility were associated with an increased incidence of readmission. Classification regression identified the patient-reported Veterans Short Form 12 (SF12) Mental Component Score <31 as the most important psychosocial determinant of readmission after surgery. CONCLUSIONS: Mental health concerns, inadequate health literacy, and lower social support after hospital discharge are significant predictors of increased unplanned readmissions after major general, vascular, or thoracic surgery. These elements should be incorporated into routinely collected electronic health record data. Also, discharge plans should accommodate varying levels of health literacy and consider how the patient's mental health and social support needs will affect recovery.

Time-of-Day Differences in Treatment-Related Habit Strength and Adherence.

BACKGROUND: Many of our daily behaviors are habitual, occurring automatically in response to learned contextual cues, and with minimal need for cognitive and self-regulatory resources. Behavioral habit strength predicts adherence to actions, including to medications. The time of day (morning vs. evening) may influence adherence and habit strength to the degree that stability of contexts/routines varies throughout the day. PURPOSE: The current study evaluates whether patients are more adherent to morning versus evening doses of medication and if morning doses show evidence of greater habit strength than evening doses. METHODS: Objective adherence data (exact timing of pill dosing) were collected in an observational study by electronic monitoring pill bottles in a sample of patients on twice-daily pills for Type 2 diabetes (N = 51) over the course of 1 month. RESULTS: Data supported the hypothesis that patients would miss fewer morning than evening pills. However, counter to the hypothesis, variability in dose timing (an indicator of habit strength) was not significantly different for morning versus evening pills. CONCLUSIONS: Findings suggest that medication adherence may be greater in the morning than in the evening. However, more research is needed to evaluate the role of habitual action in this greater adherence. Furthermore, future research should evaluate the validity of behavioral timing consistency as an indicator of habit strength.

Geriatrics-focused indicators predict mortality more than age in older adults hospitalized with COVID-19.

BACKGROUND: Age has been implicated as the main risk factor for COVID-19-related mortality. Our objective was to utilize administrative data to build an explanatory model accounting for geriatrics-focused indicators to predict mortality in hospitalized older adults with COVID-19. METHODS: Retrospective cohort study of adults age 65 and older (N = 4783) hospitalized with COVID-19 in the greater New York metropolitan area between 3/1/20-4/20/20. Data included patient demographics and clinical presentation. Stepwise logistic regression with Akaike Information Criterion minimization was used. RESULTS: The average age was 77.4 (SD = 8.4), 55.9% were male, 20.3% were African American, and 15.0% were Hispanic. In multivariable analysis, male sex (adjusted odds ration (adjOR) = 1.06, 95% CI:1.03-1.09); Asian race (adjOR = 1.08, CI:1.03-1.13); history of chronic kidney disease (adjOR = 1.05, CI:1.01-1.09) and interstitial lung disease (adjOR = 1.35, CI:1.28-1.42); low or normal body mass index (adjOR:1.03, CI:1.00-1.07); higher comorbidity index (adjOR = 1.01, CI:1.01-1.02); admission from a facility (adjOR = 1.14, CI:1.09-1.20); and mechanical ventilation (adjOR = 1.52, CI:1.43-1.62) were associated with mortality. While age was not an independent predictor of mortality, increasing age (centered at 65) interacted with hypertension (adjOR = 1.02, CI:0.98-1.07, reducing by a factor of 0.96 every 10 years); early Do-Not-Resuscitate (DNR, life-sustaining treatment preferences) (adjOR = 1.38, CI:1.22-1.57, reducing by a factor of 0.92 every 10 years); and severe illness on admission (at 65, adjOR = 1.47, CI:1.40-1.54, reducing by a factor of 0.96 every 10 years). CONCLUSION: Our findings highlight that residence prior to admission, early DNR, and acute illness severity are important predictors of mortality in hospitalized older adults with COVID-19. Readily available administrative geriatrics-focused indicators that go beyond age can be utilized when considering prognosis.

Patient expectations for recovery after elective surgery: a common-sense model approach.

Patient perceptions of the causes of preoperative symptoms, expected impact of surgery on symptoms and anticipated timeline of recovery are likely to affect the risk of readmission following elective surgical procedures. However, these perceptions have not been studied. A qualitative study was designed to explore these perceptions, using the common-sense model of self-regulation (CSM) as the conceptual framework. CSM is grounded in illness representations, describing how patients make sense of changes in physical well-being (e.g. symptoms) and develop and assess management plans. It also establishes a broader framework for examining patients' a priori expectations and timelines for outcomes based on comparisons to prior experiences and underlying self-prototypes, or "Self as Anchor". A convenience sample of 14 patients aged 56-81 who underwent elective surgery was recruited. Semi-structured interviews informed by the CSM were completed on the day of discharge. Content analysis with deductive coding was used, and emerging themes were fit to components of the CSM, including the five domains of Illness Representations-identity, cause, timeline, control, and consequences. Two additional themes, outlook (toward the health care system, providers and recovery efforts), and motivation (external or internal for recovering), relate to self-prototypes, expectations for outcomes, and search for coherence. Misattribution of symptoms, unrealistic expectations for outcomes (e.g. expecting complete resolution of symptoms unrelated to the surgical procedure) and timelines for recovery (unrealistically short), and the (baseline) "normal healthy self" as distinct from the (temporarily) "sick self" were recurrent themes. Findings suggest that patient perceptions and the actual recovery process may be misaligned. The results underscore the importance of assessing patients' perceptions and expectations, actively engaging patients in their own healthcare, and providing adequate support during the transition to home.

Homeless Status, Postdischarge Health Care Utilization, and Readmission After Surgery.

INTRODUCTION: Homeless Veterans are vulnerable to poor care transitions, yet little research has examined their risk of readmission following inpatient surgery. This study investigates the predictors of surgical readmission among homeless relative to housed Veteran patients. METHODS: Inpatient general, vascular, and orthopedic surgeries occurring in the Veterans Health Administration from 2008 to 2014 were identified. Administrative International Classification of Diseases, Ninth Revision, Clinical Modification codes and Veterans Health Administration clinic stops were used to identify homeless patients. Bivariate analyses examined characteristics and predictors of readmission among homeless patients. Multivariate logistic models were used to estimate the association between homeless experience and housed patients with readmission following surgery. RESULTS: Our study included 232,373 surgeries: 43% orthopedic, 39% general, and 18% vascular with 5068 performed on homeless patients. Homeless individuals were younger (56 vs. 64 y, P<0.01), more likely to have a psychiatric comorbidities (51.3% vs. 19.4%, P<0.01) and less likely to have other medical comorbidities such as hypertension (57.1% vs. 70.8%, P<0.01). Homeless individuals were more likely to be readmitted [odds ratio (OR), 1.43; confidence interval (CI), 1.30-1.56; P<0.001]. Discharge destination other than community (OR, 0.57; CI, 0.44-0.74; P<0.001), recent alcohol abuse (OR, 1.45; CI, 1.15-1.84; P<0.01), and elevated American Society Anesthesiologists classification (OR, 1.86; CI, 1.30-2.68; P<0.01) were significant risk factors associated with readmissions within the homeless cohort. CONCLUSIONS: Readmissions are higher in homeless individuals discharged to the community after surgery. Judicious use of postoperative nursing or residential rehabilitation programs may be effective in reducing readmission and improving care transitions among these vulnerable Veterans. Relative costs and benefits of alternatives to community discharge merit investigation.

A study to reduce readmissions after surgery in the Veterans Health Administration: design and methodology.

BACKGROUND: Hospital readmissions are associated with higher resource utilization and worse patient outcomes. Causes of unplanned readmission to the hospital are multiple with some being better targets for intervention than others. To understand risk factors for surgical readmission and their incremental contribution to current Veterans Health Administration (VA) surgical quality assessment, the study, Improving Surgical Quality: Readmission (ISQ-R), is being conducted to develop a readmission risk prediction tool, explore predisposing and enabling factors, and identify and rank reasons for readmission in terms of salience and mutability. METHODS: Harnessing the rich VA enterprise data, predictive readmission models are being developed in data from patients who underwent surgical procedures within the VA 2007-2012. Prospective assessment of psychosocial determinants of readmission including patient self-efficacy, cognitive, affective and caregiver status are being obtained from a cohort having colorectal, thoracic or vascular procedures at four VA hospitals in 2015-2017. Using these two data sources, ISQ-R will develop readmission categories and validate the readmission risk prediction model. A modified Delphi process will convene surgeons, non-surgeon clinicians and quality improvement nurses to rank proposed readmission categories vis-à-vis potential preventability. DISCUSSION: ISQ-R will identify promising avenues for interventions to facilitate improvements in surgical quality, informing specifications for surgical workflow managers seeking to improve care and reduce cost. ISQ-R will work with Veterans Affairs Surgical Quality Improvement Program (VASQIP) to recommend potential new elements VASQIP might collect to monitor surgical complications and readmissions which might be preventable and ultimately improve surgical care.

Postoperative 30-day Readmission: Time to Focus on What Happens Outside the Hospital.

OBJECTIVE: The aim of this study is to understand the relative contribution of preoperative patient factors, operative characteristics, and postoperative hospital course on 30-day postoperative readmissions. BACKGROUND: Determining the risk of readmission after surgery is difficult. Understanding the most important contributing factors is important to improving prediction of and reducing postoperative readmission risk. METHODS: National Veterans Affairs Surgical Quality Improvement Program data on inpatient general, vascular, and orthopedic surgery from 2008 to 2014 were merged with laboratory, vital signs, prior healthcare utilization, and postoperative complications data. Variables were categorized as preoperative, operative, postoperative/predischarge, and postdischarge. Logistic models predicting 30-day readmission were compared using adjusted R and c-statistics with cross-validation to estimate predictive discrimination. RESULTS: Our study sample included 237,441 surgeries: 43% orthopedic, 39% general, and 18% vascular. Overall 30-day unplanned readmission rate was 11.1%, differing by surgical specialty (vascular 15.4%, general 12.9%, and orthopedic 7.6%, P < 0.001). Most common readmission reasons were wound complications (30.7%), gastrointestinal (16.1%), bleeding (4.9%), and fluid/electrolyte (7.5%) complications. Models using information available at the time of discharge explained 10.4% of the variability in readmissions. Of these, preoperative patient-level factors contributed the most to predictive models (R 7.0% [c-statistic 0.67]); prediction was improved by inclusion of intraoperative (R 9.0%, c-statistic 0.69) and postoperative variables (R 10.4%, c-statistic 0.71). Including postdischarge complications improved predictive ability, explaining 19.6% of the variation (R 19.6%, c-statistic 0.76). CONCLUSIONS: Postoperative readmissions are difficult to predict at the time of discharge, and of information available at that time, preoperative factors are the most important.

The Common-Sense Model of Self-Regulation (CSM): a dynamic framework for understanding illness self-management.

The Common-Sense Model of Self-Regulation (the "Common-Sense Model", CSM) is a widely used theoretical framework that explicates the processes by which patients become aware of a health threat, navigate affective responses to the threat, formulate perceptions of the threat and potential treatment actions, create action plans for addressing the threat, and integrate continuous feedback on action plan efficacy and threat-progression. A description of key aspects of the CSM's history-over 50 years of research and theoretical development-makes clear the model's dynamic underpinnings, characteristics, and assumptions. The current article provides this historical narrative and uses that narrative to highlight dynamic aspects of the model that are often not evaluated or utilized in contemporary CSM-based research. We provide suggestions for research advances that can more fully utilize these dynamic aspects of the CSM and have the potential to further advance the CSM's contribution to medical practice and patients' self-management of illness.

Self-management of chronic illness: the role of 'habit' versus reflective factors in exercise and medication adherence.

Non-adherence to health behaviors required for chronic illness self-management is pervasive. Advancing health-behavior theory to include behavioral initiation and maintenance factors, including reflective (e.g., belief- and feedback-based) and automatic (e.g., habit-based) mechanisms of adherence to different treatment-related behaviors could improve non-adherence prediction and intervention efforts. To test behavioral initiation and maintenance factors from an extended common sense self-regulation theoretical framework for predicting medication adherence and physical activity among patients with Type 2 diabetes. Patients (n = 133) in an in-person (n = 80) or online (n = 53) version of the study reported treatment-related (1) barriers, (2) beliefs and experiential feedback (reflective mechanisms of treatment-initiation and short-term repetition), and (3) habit strength (automatic mechanism of treatment-maintenance) for taking medication and engaging in regular physical activity at baseline. Behaviors were assessed via self-reports (n = 133) and objectively (electronic monitoring pill bottles, accelerometers; n = 80) in the subsequent month. Treatment-specific barriers and habit strength predicted self-reported and objective adherence for both behaviors. Beliefs were inconsistently related to behavior, even when habits were "weak". Experiential feedback from behavior was not related to adherence. Among patients with Type 2 diabetes diagnosis, medication and physical activity adherence were better predicted by their degree of automatic behavioral repetition than their beliefs/experiences with the treatment-actions. Habit strength should be an intervention target for chronic illness self-management; assessing it in practice settings may effectively detect non-adherence to existing treatment-regimens. However, future research and further refining of CS-SRM theory regarding the processes required for such habit development are needed.

Randomized trial of technology-assisted self-monitoring of blood glucose by low-income seniors: improved glycemic control in type 2 diabetes mellitus.

Self-monitoring of blood glucose (SMBG) has been recommended for people with type 2 diabetes mellitus. This trial tested an automated self-management monitor (ASMM) that reminds patients to perform SMBG, provides feedback on results of SMBG, and action tips for improved self-management. This delayed-start trial randomized participants to using the ASMM immediately (IG), or following a delay of 6 months (DG). Glycated hemoglobin (HgbA1c) level and survey data was collected at home visits every 3 months. 44 diabetic men and women, mean age 70, completed the 12-month trial. Baseline HgbA1c was 8.1 % ± 1.0, dropping to 7.3 ± 1.0 by 9 months, with a 3-month lag in the DG (F = 3.56, p = 0.004). Decrease in HgbA1c was significantly correlated to increased frequency of SMBG, R = 0.588, p < 0.01. Providing older diabetics with objective immediate contingent feedback resulted in more frequent SMBG that correlated with better glycemic control. This type of technology may provide real-time feedback not only to patient users, but to the health care system, allowing better integration of provider recommendations with patient-centered action.

Transforming health care: A large health organizations' journey to become an age-friendly health system (AFHS) and beyond.

BACKGROUND: In 2017, the John A. Hartford Foundation partnered with the Institute for Health Care Improvement, American Hospital Association, and Catholic Health Care Organization to define the 4Ms framework to improve quality of care and health outcomes for older adults. The senior leadership of one of the largest integrated healthcare organizations (HCO) in the country recognized the relevance of these recommendations to the aging demographic of the United States. The health system provides care to over 2,000,000 unique patients annually, about 20% of whom are aged ≥65. We describe how commitment to becoming an Age-Friendly Health System (AFHS) has taken this HCO beyond the targets set by the initiative. METHODS: Steps guiding evolution of the AFHS model of care are as follows: Initiation, assessment, planning, implementation, sustainability. An AFHS leadership team including geriatrics and quality improvement expertise oversees the initiative. Plan-Do-Study-Act cycles are utilized at multiple stages to develop structures for data collection and reporting outcomes. RESULTS: Initiation and assessment stages identified key champions and existing efforts and programs that were leveraged to implement 4Ms best practices. Working committees with relevant expertise for each M selected evidence-based quality measures and designed/adapted training materials. The EHR is used to integrate quality measures and gather outcome data to inform changes in care. Dashboards capturing quality measures for each M have been implemented and pilot-tested at a community-based hospital and these processes are being adapted and disseminated to other settings. Leadership and stakeholders convene regularly to review lessons learned and next steps. CONCLUSIONS: On the health system level, partnering with quality management leaders has led to development of processes that feed into organizational level data used to track longitudinal improvements in patient outcomes. Outcome data in each of the 4M domains are presented. Learning points are shared to help others take a systems-approach to age-friendly change.

Increasing illness severity of skilled nursing facility patients over time: Implications for readmission penalties.

BACKGROUND: Current financial penalties for rehospitalization of skilled nursing facilities (SNFs) patients are based in part on the studies by Ouslander et al., 2011, and Mor et al., 2010, demonstrating that many SNF hospitalizations were avoidable. With increasing age, complex illness severity, and use of SNFs for subacute rehabilitation, readmission metrics and financial penalties based on previous data may be due for reevaluation. METHODS: Retrospective electronic medical record (EMR) review of 21,591 admissions and discharges between 2010 and 2019 inclusive. Data extracted included demographics, LACE, Charlson comorbidity index (CCI), and simplified HOSPITAL score parameters. The scores were calculated for the study years from the extracted data. Patients readmitted to the hospital within 30 days were identified. RESULTS: Mean yearly score of all three indices rose steadily: LACE score 10.76-12.04 (0.43 estimated annual increase, 95% CI [0.39, 0.46]), CCI 4.26-5.05 (0.31 estimated annual increase, 95% CI [0.27, 0.34]), and simplified HOSPITAL score 3.46-4.03 (0.21 estimated annual increase, 95% CI [0.18, 0.24]). The estimated probability of readmission across observed CCI scores ranged from 15.4% to 15.9%, 95% CI bounds (10.8%, 22.7%). The estimated probability of readmission across observed LACE scores ranged from 4.7% to 36.3%, 95% CI bounds (3.4%, 54.7%). The estimated probability of readmission across observed HOSPITAL scores ranged from 5.8% to 54.1%, 95% CI bounds (6.2%, 66.0%). CONCLUSIONS AND IMPLICATIONS: The study confirms anecdotal experience that the illness acuity of patients admitted to SNFs increased progressively over time and was associated with an increased risk of 30-day readmissions to the hospital. Our study suggests that the use of clinically validated readmission risk assessment tools instead of the Skilled Nursing Facility Value-Based Purchasing Program (SNF VBP) current risk adjustors may be a more accurate reflection of the current illness severity of a facility's patient population at the time of payment adjustment.

Patterns of Statin Therapy Use and Associated Outcomes in Older Veterans Across Kidney Function.

BACKGROUND: Despite significant morbidity and mortality related to atherosclerotic cardiovascular disease, to date, most major clinical trials studying the effects of statin therapy have excluded older adults. The objective of this analysis was to evaluate the effect of initiating statin therapy on incident dementia and mortality among individuals 75 years of age or older across the complete spectrum of kidney function. METHODS: We conducted a retrospective cohort study of 640,191 VA health system patients who turned 75 years of age between 2000 and 2018. Patients on statin therapy received the medication for an average of 6.3 years (standard deviation 4.6 years). The primary outcome of interest included incident dementia diagnosis during the study period. The secondary outcome was all-cause mortality. Cox proportional hazard analysis was used to evaluate the adjusted association of statin initiation with these outcomes. RESULTS: There was a higher rate of incident dementia in the No Statin group (4.7%) vs the Statin group (3.2%). Additionally, we observed a 22% all-cause mortality benefit associated with statin therapy. We did not observe a treatment effect with respect to primary or secondary outcomes across varying levels of kidney function. CONCLUSION: This large cohort study did not reveal an association between the initiation of statin therapy and incident dementia. A survival benefit was seen in statin users compared with nonusers. Prospective studies in more diverse populations including older adults will be needed to verify these findings.

Forms or Free-Text? Measuring Advance Care Planning Activity Using Electronic Health Records.

Advance care planning (ACP) discussions seek to guide future serious illness care. These discussions may be recorded in the electronic health record by documentation in clinical notes, structured forms and directives, and physician orders. Yet, most studies of ACP prevalence have only examined structured electronic health record elements and ignored data existing in notes. We sought to investigate the relative comprehensiveness and accuracy of ACP documentation from structured and unstructured electronic health record data sources. We evaluated structured and unstructured ACP documentation present in the electronic health records of 435 patients with cancer drawn from three separate healthcare systems. We extracted structured ACP documentation by manually annotating written documents and forms scanned into the electronic health record. We coded unstructured ACP documentation using a rule-based natural language processing software that identified ACP keywords within clinical notes and was subsequently reviewed for accuracy. The unstructured approach identified more instances of ACP documentation (238, 54.7% of patients) than the structured ACP approach (187, 42.9% of patients). Additionally, 16.6% of all patients with structured ACP documentation only had documents that were judged as misclassified, incomplete, blank, unavailable, or a duplicate of a previously entered erroneous document. ACP documents scanned into electronic health records represent a limited view of ACP activity. Research and measures of clinical practice with ACP should incorporate information from unstructured data.

Video Intervention and Goals-of-Care Documentation in Hospitalized Older Adults: The VIDEO-PCE Randomized Clinical Trial.

Importance: Despite the benefits of goals-of-care (GOC) communication, many hospitalized individuals never communicate their goals or preferences to clinicians. Objective: To assess whether a GOC video intervention delivered by palliative care educators (PCEs) increased the rate of GOC documentation. Design, Setting, and Participants: This pragmatic, stepped-wedge cluster randomized clinical trial included patients aged 65 years or older admitted to 1 of 14 units at 2 urban hospitals in New York and Boston from July 1, 2021, to October 31, 2022. Intervention: The intervention involved PCEs (social workers and nurses trained in GOC communication) facilitating GOC conversations with patients and/or their decision-makers using a library of brief, certified video decision aids available in 29 languages. Patients in the control period received usual care. Main Outcome and Measures: The primary outcome was GOC documentation, which included any documentation of a goals conversation, limitation of life-sustaining treatment, palliative care, hospice, or time-limited trials and was obtained by natural language processing. Results: A total of 10 802 patients (mean [SD] age, 78 [8] years; 51.6% male) were admitted to 1 of 14 hospital units. Goals-of-care documentation during the intervention phase occurred among 3744 of 6023 patients (62.2%) compared with 2396 of 4779 patients (50.1%) in the usual care phase (P < .001). Proportions of documented GOC discussions for Black or African American individuals (865 of 1376 [62.9%] vs 596 of 1125 [53.0%]), Hispanic or Latino individuals (311 of 548 [56.8%] vs 218 of 451 [48.3%]), non-English speakers (586 of 1059 [55.3%] vs 405 of 863 [46.9%]), and people living with Alzheimer disease and related dementias (520 of 681 [76.4%] vs 355 of 570 [62.3%]) were greater during the intervention phase compared with the usual care phase. Conclusions and Relevance: In this stepped-wedge cluster randomized clinical trial of older adults, a GOC video intervention delivered by PCEs resulted in higher rates of GOC documentation compared with usual care, including among Black or African American individuals, Hispanic or Latino individuals, non-English speakers, and people living with Alzheimer disease and related dementias. The findings suggest that this form of patient-centered care delivery may be a beneficial decision support tool. Trial Registration: ClinicalTrials.gov Identifier: NCT04857060.

Move more and sit less pilot intervention for individuals with heart failure.

BACKGROUND: Higher physical activity (PA) and lower sedentary behavior (SB) have been independently associated with lower risk of Heart Failure (HF). However, few individuals with HF engage in sufficient PA to confer benefits and many engage in high amounts of SB. This this feasibility study was conducted to examine changes in steps/day and SB in response to a tailored move more and sit less intervention. METHODS: This study used a single group, pre-post study design to assess changes in steps/day, inactive time, and time in moderate- to vigorous-intensity physical activity in individuals with HF stage C and D. Participants completed 1-week baseline assessment and an 11-week intervention. GEE Poisson model was used to evaluate the effect of intervention on change in PA and SB. RESULTS AND TRANSLATIONAL CONCLUSIONS: Thirteen participants with an average age of 69 ± 13 years that had been living with heart failure for 5.5 ± 4.2 years completed this intervention study. Average steps per day increased significantly over the intervention from 4778 steps/day at baseline to 5518 steps/day post-intervention. Time spent sedentary did not change. Move more and sit less interventions that include behavioral change techniques such as immediate feedback on steps can result in changes in walking behavior. Further strategies for reducing SB in this population should be explored.