How Healthcare Providers Decide on a Referral Location in Telephone Triage: A Cross-sectional Study.

BACKGROUND: Approximately 25% of patients that present to the emergency department (ED) do so after contact with a healthcare professional. Many of these patients could be effectively managed in non-ED ambulatory settings. Aligning patients with safe and appropriate outpatient care has the potential to improve ED overcrowding, patient experience, outcomes, and costs. Little is understood about how healthcare providers approach triage decision-making and what factors influence their choices. OBJECTIVES: To evaluate how providers think about patient triage, and what factors influence their decision-making when triaging patient calls. DESIGN: Cross-sectional survey-based study in which participants make triage decisions for hypothetical clinical scenarios. PARTICIPANTS: Healthcare providers in the specialties of internal medicine, family medicine, or emergency medicine within a large integrated healthcare system in the Southeast. MAIN MEASURES: Differences in individual training and practice characteristics were used to compare observed differences in triage outcomes. Free-response data were evaluated to identify themes and factors affecting triage decisions. KEY RESULTS: Out of 72 total participants, substantial variability in triage decision-making was observed among all patient cases. Attending physicians triaged 1.4 fewer cases to ED care compared with resident physicians (p < 0.001, 95% CI 0.62-2.1). Academic attendings demonstrated a trend toward fewer cases to ED care compared with community attendings (0.61, p = 0.188, 95% CI - 0.31-1.5). Qualitative data highlighted the complex considerations in provider triage and led to the development of a novel conceptual model to describe the cognitive triage process and the main influencing factors. CONCLUSIONS: Triage decision-making for healthcare providers is influenced by many factors related to clinical resources, care coordination, patient factors, and clinician factors. The complex considerations involved yield variability in triage decisions that is largely unexplained by descriptive physician factors.

Health Literacy and Health-care Resource Utilization Following Gastrostomy Tube Placement in Pediatric Patients.

INTRODUCTION: Parental health literacy and neighborhood socioeconomic disadvantage are associated with adverse health outcomes and increased health-care resource utilization in children. We sought to evaluate the association between community-level health literacy and neighborhood socioeconomic disadvantage and their relationships with outcomes of pediatric patients undergoing gastrostomy tube (GT) placement. METHODS: Pediatric patients who underwent GT placement from 2000 to 2019 were identified using the IBM MarketScan Research database. Claims data were merged with the health literacy index (HLI) and area deprivation index (ADI), measures of community-level health literacy and neighborhood socioeconomic disadvantage, respectively. We used multivariate logistic regression to estimate factors associated with postoperative 30- and 90-day ED visits (EVs) and 30-day readmissions. RESULTS: A total of 4374 pediatric patients underwent GT placement. In this cohort, 6.1% and 11.4% had 30-day and 90-day EV; and 30-day readmissions in 19.75%. HLI was lower in those with 30-(244.6 ± 6.1 versus 245.4 ± 6.1; P = 0.0482) and 90-(244.5 ± 5.8 versus 245.5 ± 6.1; P = 0.001) day EV, and 30-day readmission (244.5 ± 5.56 versus 245.4 ± 6.1; P = 0.001) related to GT. ADI was lower in those with 90-day EV (55.1 ± 13.1 versus 55.9 ± 14.6; P = 0.0244). HLI was associated with decreased odds of 30- (adjusted odds ratio: 0.968; 95% confidence interval: 0.941-0.997) and 90-day (adjusted odds ratio: 0.975; 95% confidence interval: 0.954-0.998) EV following GT placement. ADI was also significantly associated with 30 and 90-day EV following GT placement. CONCLUSIONS: In pediatric patients undergoing GT placement, higher ecologically-measured health literacy and neighborhood socioeconomic disadvantage are associated with decreased health-care resource utilization, as evidenced by decreased ED visits. Future studies should focus on the role of individual parental health literacy in outcomes of pediatric surgical patients.

Patient Reported Outcome Assessments Used in the Evaluation of Patients after Ileal Pouch-Anal Anastomosis: A Systematic Review.

BACKGROUND AND AIMS: There is a paucity of validated measures to evaluate how patients feel and function after restorative proctocolectomy with ileal pouch-anal anastomosis (IPAA) for ulcerative colitis. We performed a systematic review to evaluate all published patient reported outcomes (PROs) to assess symptom burden, functional status, and quality of life (QoL) after IPAA. METHODS: An electronic literature search on PubMed, Embase, and Web of Science was performed from inception through October 12, 2021. Eligible full texts were further characterized by the type of assessment as well as the individual domains assessed by questions in the PRO measure. RESULTS: Among the 129 full texts analyzed, 51 specific PRO measures were utilized. In the evaluation of all PRO measures, 46% included an assessment of disease-specific QoL with 27% evaluating more general QoL, and 15% assessing symptoms related to pouch function. Among the studies using disease-specific instruments, the Cleveland Clinic Global Quality of Life (42%) and the Inflammatory Bowel Disease Questionnaire (21%) were the most commonly used PRO measures. PRO questions were mapped to individual domains using binning methodology, with the greatest number of questions from individual PRO measures mapped to the bowel function domain (122). CONCLUSION: In our assessment of PRO measures among patients after IPAA, the studies and individual measures varied widely in both the patient populations being evaluated as well as outcomes and specific domains being assessed. A valid measure that assesses the range of outcomes after IPAA could standardize assessment and advance the study of patients after IPAA.

Impact of including drug spending in oncology alternative payment models.

OBJECTIVES: To develop a method for determining the effect of including drug costs in alternative payment models (APMs). STUDY DESIGN: Retrospective claims analysis. METHODS: Using the Oncology Care Model as an example, we developed an oncology episode payment model for a commercial payer using historical claims data. We defined 6-month episodes of chemotherapy. Using claims data, we characterized episodes and developed a risk adjustment model. We used bootstrapping to estimate the variation in episode cost with drugs included and without. RESULTS: Episode costs were approximately $100,000. Although absolute cost variation was higher when we included drugs, the percent of total cost represented by variation was lower. Under reasonable assumptions about potential savings from drug and nondrug spending, our results suggest that including drugs in APMs can improve the risk-benefit trade-off faced by provider groups. We introduce a risk-mitigated sharing rate that may enable inclusion of drugs in APMs without substantially increasing downside risk. CONCLUSIONS: We have developed a method to assess whether the inclusion of drug spending in APMs is a good decision for provider groups. Including drug costs in episode payments for oncology patients may be preferable for many provider groups.

Health-related quality of life profiles in adolescents and young adults with chronic conditions.

PURPOSE: To assess health-related quality of life (HRQOL) among adolescents and young adults (AYAs) with chronic conditions. METHODS: AYAs (N = 872) aged 14-20 years completed NIH's Patient-Reported Outcomes Measurement Information System® (PROMIS®) measures of physical function, pain interference, fatigue, social health, depression, anxiety, and anger. Latent profile analysis (LPA) was used to group AYAs into HRQOL profiles using PROMIS T-scores. The optimal number of profiles was determined by model fit statistics, likelihood ratio test, and entropy. Multinomial logistic regression models were used to examine how LPA's HRQOL profile membership was associated with patient demographic and chronic conditions. The model prediction accuracy on profile membership was evaluated using Huberty's I index with a threshold of 0.35 for good effect. RESULTS: A 4-profile LPA model was selected. A total of 161 (18.5%), 256 (29.4%), 364 (41.7%), and 91 (10.4%) AYAs were classified into Minimal, Mild, Moderate, and Severe HRQOL Impact profiles. AYAs in each profile had distinctive mean scores with over a half standard deviation (5-points in PROMIS T-scores) of difference between profiles across most HRQOL domains. AYAs who were female or had conditions such as mental health condition, hypertension, and self-reported chronic pain were more likely to be in the Severe HRQOL Impact profile. The Huberty's I index was 0.36. CONCLUSIONS: Approximately half of AYAs with a chronic condition experience moderate to severe HRQOL impact. The availability of risk prediction models for HRQOL impact will help to identify AYAs who are in greatest need of closer clinical care follow-up.

Comparison of the effectiveness and safety of 2 aspirin doses in secondary prevention of cardiovascular outcomes in patients with chronic kidney disease: A subgroup analysis of ADAPTABLE.

BACKGROUND: Among patients with established cardiovascular disease, the ADAPTABLE trial found no significant differences in cardiovascular events and bleeding rates between 81 mg and 325 mg of aspirin (ASA) daily. In this secondary analysis from the ADAPTABLE trial, we studied the effectiveness and safety of ASA dosing in patients with a history of chronic kidney disease (CKD). METHODS: ADAPTABLE participants were stratified based on the presence or absence of CKD, defined using ICD-9/10-CM codes. Within the CKD group, we compared outcomes between patients taking ASA 81 mg and 325 mg. The primary effectiveness outcome was defined as a composite of all cause death, myocardial infarction, or stroke and the primary safety outcome was hospitalization for major bleeding. Adjusted Cox proportional hazard models were utilized to report differences between the groups. RESULTS: After excluding 414 (2.7%) patients due to missing medical history, a total of 14,662 patients were included from the ADAPTABLE cohort, of whom 2,648 (18%) patients had CKD. Patients with CKD were older (median age 69.4 vs 67.1 years; P < .0001) and less likely to be white (71.5% vs 81.7%; P < .0001) when compared to those without CKD. At a median follow-up of 26.2 months, CKD was associated with an increased risk of both the primary effectiveness outcome (adjusted HR 1.79 [1.57, 2.05] P < .001 and the primary safety outcome (adjusted HR 4.64 (2.98, 7.21), P < .001 and P < .05, respectively) regardless of ASA dose. There was no significant difference in effectiveness (adjusted HR 1.01 95% CI 0.82, 1.23; P = .95) or safety (adjusted HR 0.93; 95% CI 0.52, 1.64; P = .79) between ASA groups. CONCLUSIONS: Patients with CKD were more likely than those without CKD to have adverse cardiovascular events or death and were also more likely to have major bleeding requiring hospitalization. However, there was no association between ASA dose and study outcomes among these patients with CKD.

Applying latent profile analysis to identify adolescents and young adults with chronic conditions at risk for poor health-related quality of life.

The impact of chronic diseases on health-related quality of life (HRQOL) in adolescents and young adults (AYAs) is understudied. Latent profile analysis (LPA) can identify profiles of AYAs based on their HRQOL scores reflecting physical, mental, and social well-being. This paper will (1) demonstrate how to use LPA to identify profiles of AYAs based on their scores on multiple HRQOL indicators; (2) explore associations of demographic and clinical factors with LPA-identified HRQOL profiles of AYAs; and (3) provide guidance on the selection of adult or pediatric versions of Patient-Reported Outcomes Measurement Information System® (PROMIS®) in AYAs. A total of 872 AYAs with chronic conditions completed the adult and pediatric versions of PROMIS measures of anger, anxiety, depression, fatigue, pain interference, social health, and physical function. The optimal number of LPA profiles was determined by model fit statistics and clinical interpretability. Multinomial regression models examined clinical and demographic factors associated with profile membership. As a result of the LPA, AYAs were categorized into 3 profiles: Minimal, Moderate, and Severe HRQOL Impact profiles. Comparing LPA results using either the pediatric or adult PROMIS T-scores found approximately 71% of patients were placed in the same HRQOL profiles. AYAs who were female, had hypertension, mental health conditions, chronic pain, and those on medication were more likely to be placed in the Severe HRQOL Impact Profile. Our findings may facilitate clinicians to screen AYAs who may have low HRQOL due to diseases or treatments with the identified risk factors without implementing the HRQOL assessment.

Goal-Oriented Prevention: How to Fit a Square Peg into a Round Hole.

Prevention does not fit well within our problem-oriented medical paradigm in which the focus is on curing or ameliorating existing diseases. It is easier and more satisfying to solve existing problems than it is to advise and motivate patients to implement measures to prevent future problems that may or may not occur. Clinician motivation is further diminished by the time required to help people make lifestyle changes, the low reimbursement rate, and the fact that the benefits, if any, are often not apparent for years. Typical patient panel sizes make it difficult to provide all of the recommended disease-oriented preventive services and to also address the social and lifestyle factors that can impact future health problems. One solution to this square peg-round hole mismatch is to focus on the goals, life extension and prevention of future disabilities.

Disentangling the Role of Health Care Systems in Producing High-Quality Care.

This Viewpoint examines in-depth 5 features of health care systems that may influence quality of care: pooled resources, centralization, standardization, interprovider coordination, and cross-practice learning.

The Effect of a System-Level Tiered Huddle System on Reporting Patient Safety Events: An Interrupted Time Series Analysis.

BACKGROUND: The objective of this research was to evaluate the effect of implementing a system-level tiered huddle system (THS) on the reporting of patient safety events into the official event reporting system. METHODS: A quasi-experimental study using interrupted time series was conducted to assess the impact and changes to trends in the reporting of patient safety events pre- (February-July 2020; six months) and post- (September 2020-February 2021; six months) THS implementation within one health care system (238 clinics and 4 hospitals). The severity of harm was analyzed in July 2021 using a modified Agency for Healthcare Research and Quality (AHRQ) harm score classification. The primary outcome measure was the number of patient safety events reported per month. Secondary outcomes included the number of patient safety events reported per month by each AHRQ harm score classification. RESULTS: The system-level THS implementation led to a significant and immediate increase in the total number of patient safety events reported per month (777.73, 95% confidence interval [CI] 310.78-1,244.68, p = 0.004). Similar significant increases were seen for reported numbers of unsafe conditions, near misses, no-harm events that reached patients, and temporary harm (p < 0.05 for each). Reporting of events with permanent harm and deaths also increased but was not statistically significant, likely due to the small number of reported events involving actual harm. CONCLUSION: These findings suggest that system-level THS implementation may increase reporting of patient safety events in the official event reporting system.

Evaluating A Nonemergency Medical Transportation Benefit For Accountable Care Organization Members.

Nonemergency medical transportation benefits, often using smartphone application-based ridesharing services, are increasingly being offered as part of population health management programs. However, the impact of these programs on health care use and costs remains understudied. We conducted a mixed-methods evaluation of a nonemergency medical transportation benefit offered to members of a Medicare accountable care organization (ACO) within a large academic health system, the UNC Health Alliance ACO. Participation in the transportation program was associated with a greater number of per person per year outpatient visits (9.2) and higher outpatient spending ($4,420) than in a comparison group. However, there was no difference in inpatient admissions or emergency department visits, and the program was not cost saving. Qualitative analyses revealed that participants were highly satisfied with the program, reporting that it eased financial burdens and made them feel safer, more empowered, and better able to take control of their health. These findings suggest that although transportation programs are commonly introduced as ways to contain health care spending, it may be better to think of them as programs to improve health care access for people facing difficult circumstances.

The Association of Readmission Reduction Activities with Primary Care Practice Readmission Rates.

BACKGROUND: A great deal of research has focused on how hospitals influence readmission rates. While hospitals play a vital role in reducing readmissions, a significant portion of the work also falls to primary care practices. Despite this critical role of primary care, little empirical evidence has shown what primary care characteristics or activities are associated with reductions in hospital admissions. OBJECTIVE: To examine the relationship between practices' readmission reduction activities and their readmission rates. DESIGN, SETTING, AND PARTICIPANTS: A retrospective study of 1,788 practices who responded to the National Survey of Healthcare Organizations and Systems (fielded 2017-2018) and 415,663 hospital admissions for Medicare beneficiaries attributed to those practices from 2016 100% Medicare claims data. We constructed mixed-effects logistic regression models to estimate practice-level readmission rates and a linear regression model to evaluate the association between practices' readmission rates with their number of readmission reduction activities. INTERVENTIONS: Standardized composite score, ranging from 0 to 1, representing the number of a practice's readmission reduction capabilities. The composite score was composed of 12 unique capabilities identified in the literature as being significantly associated with lower readmission rates (e.g., presence of care manager, medication reconciliation, shared-decision making, etc.). MAIN OUTCOMES AND MEASURES: Practices' readmission rates for attributed Medicare beneficiaries. KEY RESULTS: Routinely engaging in more readmission reduction activities was significantly associated (P < .05) with lower readmission rates. On average, practices experienced a 0.05 percentage point decrease in readmission rates for each additional activity. Average risk-standardized readmission rates for practices performing 10 or more of the 12 activities in our composite measure were a full percentage point lower than risk-standardized readmission rates for practices engaging in none of the activities. CONCLUSIONS: Primary care practices that engaged in more readmission reduction activities had lower readmission rates. These findings add to the growing body of evidence suggesting that engaging in multiple activities, rather than any single activity, is associated with decreased readmissions.

The STUN (STop UNhealthy) Alcohol Use Now trial: study protocol for an adaptive randomized trial on dissemination and implementation of screening and management of unhealthy alcohol use in primary care.

BACKGROUND: Unhealthy alcohol use is a leading cause of preventable deaths in the USA and is associated with many societal and health problems. Less than a third of people who visit primary care providers in the USA are asked about or ever discuss alcohol use with a health professional. METHODS/DESIGN: This study is an adaptive, randomized, controlled trial to evaluate the effect of primary care practice facilitation and telehealth services on evidence-based screening, counseling, and pharmacotherapy for unhealthy alcohol use in small-to-medium-sized primary care practices. Study participants will include primary care practices in North Carolina with 10 or fewer providers. All enrolled practices will receive a practice facilitation intervention that includes quality improvement (QI) coaching, electronic health record (EHR) support, training, and expert consultation. After 6 months, practices in the lower 50th percentile (based on performance) will be randomized to continued practice facilitation or provision of telehealth services plus ongoing facilitation for the next 6 months. Practices in the upper 50th percentile after the initial 6 months of intervention will continue to receive practice facilitation alone. The main outcome measures include the number (and %) of patients in the target population who are screened for unhealthy alcohol use, screen positive, and receive brief counseling. Additional measures include the number (and %) of patients who receive pharmacotherapy for AUD or are referred for AUD services. Sample size calculations determined that 35 practices are needed to detect a 10% increase in the main outcome (percent screened for unhealthy alcohol use) over 6 months. DISCUSSION: A successful intervention would significantly reduce morbidity among adults from unhealthy alcohol use by increasing counseling and other treatment opportunities. The study will produce important evidence about the effect of practice facilitation on uptake of evidence-based screening, counseling, and pharmacotherapy for unhealthy alcohol use when delivered on a large scale to small and medium-sized practices. It will also generate scientific knowledge about whether embedded telehealth services can improve the use of evidence-based screening and interventions for practices with slower uptake. The results of this rigorously conducted evaluation are expected to have a positive impact by accelerating the dissemination and implementation of evidence related to unhealthy alcohol use into primary care practices. TRIAL REGISTRATION: ClinicalTrials.gov NCT04317989 . Registered on March 23, 2020.

Recommendations for Assessment of Social, Emotional, and Behavioral Health for the National Children's Study.

The Social Emotional Behavioral (SEB) Team of the National Children's Study (NCS) was tasked with making recommendations for assessment of important aspects of social-emotional health and function in children. This paper describes the constructs recommended for assessment along with the rationale for their assessment. These constructs, representing aspects of Social Relationships, Social Capital, Temperament, Negative Affect, Externalizing Behavior, Social Competence, Self-efficacy, Self-image, Psychological well-being, Ethnic/racial Socialization, Perceived Discrimination, Sexual Orientation, Religiosity, and Perceived Stress and Resilience were identified as being critical to the understanding of children's health and development from birth to age 21.

Comparative Effectiveness of Aspirin Dosing in Cardiovascular Disease.

BACKGROUND: The appropriate dose of aspirin to lower the risk of death, myocardial infarction, and stroke and to minimize major bleeding in patients with established atherosclerotic cardiovascular disease is a subject of controversy. METHODS: Using an open-label, pragmatic design, we randomly assigned patients with established atherosclerotic cardiovascular disease to a strategy of 81 mg or 325 mg of aspirin per day. The primary effectiveness outcome was a composite of death from any cause, hospitalization for myocardial infarction, or hospitalization for stroke, assessed in a time-to-event analysis. The primary safety outcome was hospitalization for major bleeding, also assessed in a time-to-event analysis. RESULTS: A total of 15,076 patients were followed for a median of 26.2 months (interquartile range [IQR], 19.0 to 34.9). Before randomization, 13,537 (96.0% of those with available information on previous aspirin use) were already taking aspirin, and 85.3% of these patients were previously taking 81 mg of daily aspirin. Death, hospitalization for myocardial infarction, or hospitalization for stroke occurred in 590 patients (estimated percentage, 7.28%) in the 81-mg group and 569 patients (estimated percentage, 7.51%) in the 325-mg group (hazard ratio, 1.02; 95% confidence interval [CI], 0.91 to 1.14). Hospitalization for major bleeding occurred in 53 patients (estimated percentage, 0.63%) in the 81-mg group and 44 patients (estimated percentage, 0.60%) in the 325-mg group (hazard ratio, 1.18; 95% CI, 0.79 to 1.77). Patients assigned to 325 mg had a higher incidence of dose switching than those assigned to 81 mg (41.6% vs. 7.1%) and fewer median days of exposure to the assigned dose (434 days [IQR, 139 to 737] vs. 650 days [IQR, 415 to 922]). CONCLUSIONS: In this pragmatic trial involving patients with established cardiovascular disease, there was substantial dose switching to 81 mg of daily aspirin and no significant differences in cardiovascular events or major bleeding between patients assigned to 81 mg and those assigned to 325 mg of aspirin daily. (Funded by the Patient-Centered Outcomes Research Institute; ADAPTABLE ClinicalTrials.gov number, NCT02697916.).

A Person-Centered Interdisciplinary Plan-of-Care Program for Dialysis: Implementation and Preliminary Testing.

RATIONALE & OBJECTIVE: Despite growing interest in individualizing care, routine dialysis processes, including the interdisciplinary plan of care, often fail to account for patient-identified priorities. To better align dialysis care with patient priorities and improve care planning experiences, we implemented a person-centered care plan program at a single clinic. We also sought to gain insight into key implementation considerations and areas for program improvement. STUDY DESIGN: 6-month quality improvement project with research substudy. SETTING & PARTICIPANTS: 49 hemodialysis patients and 14 care team members at a North Carolina dialysis clinic. QUALITY IMPROVEMENT ACTIVITIES: Implementation of My Dialysis Plan, a person-centered care plan program. OUTCOMES: Participant perspectives and care plan meeting characteristics (quality improvement); pre- to postprogram change in patient-reported autonomy support, patient-centeredness of care, and dialysis care individualization (research). ANALYTICAL APPROACH: We used the Consolidated Framework for Implementation Research to guide implementation and evaluation. We conducted pre-, intra-, and post-project interviews with clinic stakeholders (patients, clinic personnel, and medical providers) to identify implementation barriers, facilitators, and perceptions. We compared pre- and post-project care plan meeting content and patient-reported outcome survey scores. RESULTS: We conducted 54 care plans with 49 patients. Overall, care teams successfully used My Dialysis Plan to elicit and link patient priorities to actionable aspects of dialysis care. Participants identified interdisciplinary team commitment, accountability, and the structured yet flexible meeting approach as key implementation elements. Throughout the project, stakeholder input guided program modifications (eg, implementation practices and resources) to better meet clinic needs, but follow-up on care plan-identified action items remained challenging. Among the 28 substudy participants, there was no difference in pre- to post-project patient-reported outcome survey scores. LIMITATIONS: Single clinic implementation. CONCLUSIONS: My Dialysis Plan has the potential to enhance dialysis care individualization and care plan experiences. Evaluation of program impact on patient-reported and clinical outcomes is needed.

Pre-Post Evaluation of Collaborative Oncology Palliative Care for Patients With Stage IV Cancer.

CONTEXT: The Collaborative Care Model improves care processes and outcomes but has never been tested for palliative care. OBJECTIVES: To develop and evaluate a model of collaborative oncology palliative care for Stage IV cancer. METHODS: We conducted a pre-post evaluation of Collaborative Oncology Palliative Care (CO-Pal), enrolling patients with Stage IV lung, breast or genitourinary cancers and acute illness hospitalization. CO-Pal has 4 components: 1) oncologist communication skills training; 2) patient tracking; 3) palliative care needs assessment; and 4) care coordination stratified by high vs. low palliative care need. Health record reviews from hospital admission through 60 days provided data on outcomes - goals-of-care discussions (primary outcome), advance care planning, symptom treatment, specialty palliative care and hospice use, and hospital transfers. RESULTS: We enrolled 256 patients (n = 114 pre and n = 142 post-intervention); 60-day mortality was 32%. Comparing patients pre vs post-intervention, CO-Pal did not increase overall goals-of-care discussions, but did increase advance care planning (48% vs 63%, P = 0.021) and hospice use (19% vs 31%, P = 0.034). CO-Pal did not impact symptom treatment, overall treatment plans, or 60-day hospital transfers. During the intervention phase, high-need vs low-need patients had more goals-of-care discussions (60% vs. 15%, P < 0.001) and more use of specialty palliative care (64% vs 22%, P < 0.001) and hospice (44% vs 16%, P < 0.001). CONCLUSION: Collaborative oncology palliative care is efficient and feasible. While it did not increase overall goals-of-care discussions, it was effective to increase overall advance care planning and hospice use for patients with Stage IV cancer.

Clinician engagement in the ADAPTABLE (Aspirin Dosing: A Patient-centric Trial Assessing Benefits and Long-Term Effectiveness) trial.

BACKGROUND: ADAPTABLE (Aspirin Dosing: A Patient-centric Trial Assessing Benefits and Long-Term Effectiveness) is a pragmatic clinical trial examining high-dose versus low-dose aspirin among patients with cardiovascular disease. ADAPTABLE is leveraging novel approaches for clinical trial conduct to expedite study completion and reduce costs. One pivotal aspect of the trial conduct is maximizing clinician engagement. METHODS/RESULTS: Clinician engagement can be diminished by barriers including time limitations, insufficient research infrastructure, lack of research training, inadequate compensation for research activities, and clinician beliefs. We used several key approaches to boost clinician engagement such as empowering clinician champions, including a variety of clinicians, nurses and advanced practice providers, periodic newsletters and coordinated team celebrations, and deploying novel technological solutions. Specifically, some centers generated electronic health records-based best practice advisories and research dashboards. Future large pragmatic trials will benefit from standardization of the various clinician engagement strategies especially studies leveraging electronic health records-based approaches like research dashboards. Financial or academic "credit" for clinician engagement in clinical research may boost participation rates in clinical studies. CONCLUSION: Maximizing clinician engagement is important for the success of clinical trials; the strategies employed in the ADAPTABLE trial may serve as a template for future pragmatic studies.

Association between Food Insecurity and Health-Related Quality of Life: a Nationally Representative Survey.

BACKGROUND: Food insecurity, limited or uncertain access to enough food for an active, healthy life, affected over 37 million Americans in 2018. Food insecurity is likely to be associated with worse health-related quality of life (HRQoL), but this association has not been measured with validated instruments in nationally representative samples. Given growing interest understanding food insecurity's role in health outcomes, it would be useful to learn what HRQoL measures best capture the experience of those with food insecurity. OBJECTIVE: To determine the association between food insecurity and several validated HRQoL instruments in US adults. DESIGN: Cross-sectional. PARTICIPANTS: US adults (age ≥ 18), weighted to be nationally representative. MAIN MEASURES: Food insecurity was assessed with three items derived from the USDA Household Food Security Survey Module. HRQoL was assessed using PROMIS-Preference (PROPr), which contains 7 PROMIS domains, self-rated health (SRH), Euroqol-5D-5L (EQ-5D), Health Utilities Index (HUI), and Short Form-6D (SF-6D). KEY RESULTS: In December 2017, 4142 individuals completed at least part of the survey (31% response rate), of whom 4060 (98.0%) reported food security information. Of survey respondents, 51.7% were women, 12.5% self-identified as black, 15.8% were Hispanic, and 11.0% did not have a high school diploma. 14.1% of respondents reported food insecurity. In adjusted analyses, food insecurity was associated with worse HRQoL across all instruments and PROMIS domains (p < .0001 for all). The magnitude of the difference between food-insecure and food-secure participants was largest with the SF-6D, EQ-5D, and PROPr; among individual PROMIS domain scores, the largest difference was for ability to participate in social roles. CONCLUSIONS: Food insecurity is strongly associated with worse HRQoL, with differences between food-secure and food-insecure individuals best measured using the SF-6D, EQ-5D, and PROPr. Future work should develop a specific instrument to measure changes in HRQoL in food insecurity interventions.