Financial Performance of Accountable Care Organizations: A 5-Year National Empirical Analysis.

GOALS: Of 513 accountable care organizations (ACOs) participating in the Medicare Shared Savings Program (MSSP) in 2020, 67% generated a positive shared savings of approximately $2.3 billion. This research aimed to examine their financial performance trends and drivers over time. METHODS: The unit of analysis was the ACO in each year of the study period from 2016 to 2020. The dependent variable was the ACOs' total shared savings earned annually per beneficiary. The independent variables included ACO age, risk model, clinician staffing type, and provider type (hybrid, hospital-led, or physician-led). Covariates were the average risk score among beneficiaries, payer type, and calendar year. The Centers for Medicare & Medicaid Services (CMS) public use files (PUFs) and a commercial healthcare data aggregator were the data sources. RESULTS: ACOs' earned shared savings grew annually by 35%, while the proportions of ACOs with positive shared savings grew by 21%. For 1-year increase in ACO age, an additional $0.57 of shared savings per beneficiary was observed. ACOs with two-sided risk contracting were associated with an average marginal increase of $109 in shared savings per beneficiary compared to ACOs with one-sided risk contracting. Primary care physicians were associated with the greatest increase in earned shared savings per beneficiary. In contrast, nurse practitioners/physician assistants/clinical nurse specialists were associated with a reduction in earned shared savings. Under a one-sided risk model, hospital-led ACOs were associated with $18 higher average shared savings earning per beneficiary compared to hybrid ACOs, while physician-led ACOs were associated with lower average saved shared earnings per beneficiary at -$2 compared to hybrid ACOs. Provider-type results were not statistically significant at the 5% nominal level. No statistically significant differences were observed between provider types under a two-sided risk model. PRACTICAL APPLICATIONS: For all ACO provider types, building broader primary care provider networks was correlated with positive financial results. Future research should examine whether ACOs are conducting specific preventive screenings for cancer or monitoring conditions such as diabetes, hypertension, heart disease, obesity, mental disorders, and joint disorders. Such studies may answer health policy and strategy questions about the effects of incentives for improved ACO performance in serving a healthier population.

Iatrogenic and demographic determinants of the national plural birth increase.

OBJECTIVE: To study the contribution of ovulation induction and ovarian stimulation, in vitro fertilization (IVF), and unassisted conception to the increase in national plural births in the United States, a significant contributor to adverse maternal and infant health outcomes. DESIGN: National and IVF-assisted plural birth data were derived from the Centers for Disease Control and Prevention's National Vital Statistics System (1967-2021, after introduction of Clomiphene Citrate in the United States) and the National Assisted Reproductive Technology Surveillance System (1997-2021), respectively. SETTING: Not applicable. PATIENT(S): Not applicable. INTERVENTION(S): Not applicable. MAIN OUTCOME MEASURE(S): In addition to IVF-assisted plural births, the contributions of unassisted conception to plural births among women aged <35 and ≥35 years were estimated using plural birth rates from 1949-1966 and a Bayesian logistic model with race and age as independent variables. The contribution of ovulation induction and ovarian stimulation was estimated as the difference between national plural births and IVF-assisted and unassisted counterparts. RESULT(S): From 1967-2021, the national twin birth rate increased 1.7-fold to a 2014 high (33.9/1,000 live births), then declined to 31.2/1,000 live births; the triplet and higher order birth rate increased 6.7-fold to a 1998 high (1.9/1,000 live births), then declined to 0.8/1,000 live births. In 2021, the contribution of unassisted conception among women aged <35 years to the national plural births was 56.1%, followed by ovulation induction and ovarian stimulation (19.5%), unassisted conception among women aged ≥35 years (16.8%), and IVF (7.6%). During 2009-2021, the contribution of ovulation induction and ovarian stimulation has remained stable, the contribution of unassisted conception among women aged <35 and ≥35 years has increased, and the contribution of IVF has decreased. CONCLUSION(S): Ovulation induction and ovarian stimulation are leading iatrogenic contributors to plural births. They are, therefore, targets for intervention to reduce the adverse maternal and infant health outcomes associated with plural births. Maternal age of ≥35 years is a significant contributor to the national plural birth increase.

Using Structured Observations to Evaluate the Effects of a Personalized Music Intervention on Agitated Behaviors and Mood in Nursing Home Residents With Dementia: Results From an Embedded, Pragmatic Randomized Controlled Trial.

OBJECTIVE: The objective of this research was to determine if a personalized music intervention reduced the frequency of agitated behaviors as measured by structured observations of nursing home (NH) residents with dementia. DESIGN: The design was a parallel, cluster-randomized, controlled trial. SETTING: The setting was 54 NH (27 intervention, 27 control) from four geographically-diverse, multifacility NH corporations. PARTICIPANTS: The participants were 976 NH residents (483 intervention, 493 control) with Alzheimer's disease or related dementias (66% with moderate to severe symptoms); average age 80.3 years (SD: 12.3) and 25.1% were Black. INTERVENTION: The intervention was individuals' preferred music delivered via a personalized music device. MEASUREMENT: The measurement tool was the Agitated Behavior Mapping Instrument, which captures the frequency of 13 agitated behaviors and five mood states during 3-minute observations. RESULTS: The results show that no verbally agitated behaviors were reported in a higher proportion of observations among residents in NHs randomized to receive the intervention compared to similar residents in NHs randomized to usual care (marginal interaction effect (MIE): 0.061, 95% CI: 0.028-0.061). Residents in NHs randomized to receive the intervention were also more likely to be observed experiencing pleasure compared to residents in usual care NHs (MIE: 0.038; 95% CI: 0.008-0.073)). There was no significant effect of the intervention on physically agitated behaviors, anger, fear, alertness, or sadness. CONCLUSIONS: The conclusions are that personalized music may be effective at reducing verbally-agitated behaviors. Using structured observations to measure behaviors may avoid biases of staff-reported measures.

Multiple Imputation of Missing Race/Ethnicity Information in the National Assisted Reproductive Technology Surveillance System.

Background: Missing race/ethnicity data are common in many surveillance systems and registries, which may limit complete and accurate assessments of racial and ethnic disparities. Centers for Disease Control and Prevention's National Assisted Reproductive Technology (ART) Surveillance System (NASS) has a congressional mandate to collect data on all ART cycles performed by fertility clinics in the United States and provides valuable information on ART utilization and treatment outcomes. However, race/ethnicity data are missing for many ART cycles in NASS. Materials and Methods: We multiply imputed missing race/ethnicity data using variables from NASS and additional zip code-level race/ethnicity information in U.S. Census data. To evaluate imputed data quality, we generated training data by imposing missing values on known race/ethnicity under missing at random assumption, imputed, and examined the relationship between race/ethnicity and the rate of stillbirth per pregnancy. Results: The distribution of imputed race/ethnicity was comparable to the reported one with the largest difference of 0.53% for non-Hispanic Asian. Our imputation procedure was well calibrated and correctly identified that 89.91% (standard error = 0.18) of known race/ethnicity values on average in training data. Compared to complete-case analysis, using multiply imputed data reduced bias of parameter estimates (the range of bias for stillbirth per pregnancy across race/ethnicity groups is 0.02%-0.18% for imputed data analysis, versus 0.04%-0.66% for complete-case analysis) and yielded narrower confidence intervals. Conclusions: Our results underscore the importance of collecting complete race/ethnicity information for ART surveillance. However, when the missingness exists, multiply imputed race/ethnicity can improve the accuracy and precision of health outcomes estimated across racial/ethnic groups.

Home-Delivered Meals and Nursing Home Placement Among People With Self-Reported Dementia: A Pilot Pragmatic Clinical Trial.

Importance: Home-delivered meals promote food security and independence among homebound older adults. However, it is unclear which of the 2 predominant modes of meal delivery, daily-delivered vs mailed (or drop-shipped) frozen meals, promotes community living for homebound older adults with dementia. Objective: To assess the risk of nursing home admission within 6 months between homebound individuals receiving daily-delivered vs drop-shipped frozen meals. Design, Setting, and Participants: This pilot, multisite, 2-arm, pragmatic clinical trial included older adults with self-reported dementia on waiting lists for meals at 3 Meals on Wheels (MOW) programs in Texas and Florida between April 7 and October 8, 2021, to assess time to nursing home placement. Interventions: Participants were randomized to receive either meals delivered by an MOW driver or frozen meals that were mailed to participants' homes every 2 weeks. Participants received their assigned intervention for up to 6 months. Main Outcomes and Measures: The primary study outcome was days from randomization to a Minimum Data Set nursing home admission assessment within 6 months. Feasibility of conducting this type of study was examined by tracking enrollment, examining baseline characteristics, monitoring participants' intervention fidelity, measuring the proportion of participants linked with Centers for Medicare & Medicaid Services (CMS) data, and analyzing the primary study outcome. Results: Among 325 eligible participants who were randomized, 243 enrolled in the study (mean [SD] age, 81 [8.0] years; 152 (62.6%) were female): 128 to the daily-delivered meals group and 115 to the drop-shipped frozen meals group; 119 participants (49.0%) lived alone. Among the total participants enrolled, 227 (93.4%) were linked deterministically to their CMS data; probabilistic methods were used to link the remaining 16 participants (6.6%). At 6 months from randomization, 160 participants (65.8%) were still receiving meals, and 25 (10.1%; 95% CI, 6.3%-14.0%) were admitted to a nursing home. After adjusting for sex, race and ethnicity, age, program, and living arrangement and the use of death as a censoring event, the adjusted log hazard ratio of nursing home placement between daily-delivered and drop-shipped frozen meals was -0.67 (95% CI, -1.52 to 0.19). Conclusions and Relevance: This pilot randomized clinical trial demonstrated the feasibility of enrolling participants with self-reported dementia on waiting lists at MOW programs, linking their data, and evaluating outcomes. While this pilot study was not powered to detect meaningful, statistically significant differences in nursing home placement, its feasibility and initial results warrant exploration in a follow-on, adequately powered trial. Trial Registration: ClinicalTrials.gov Identifier: NCT04850781.

Adapted Mindfulness Training for Interoception and Adherence to the DASH Diet: A Phase 2 Randomized Clinical Trial.

Importance: Hypertension is a major cause of cardiovascular disease, and although the Dietary Approaches to Stop Hypertension (DASH) diet lowers blood pressure (BP), adherence is typically low. Mindfulness training adapted to improving health behaviors that lower BP could improve DASH adherence, in part through improved interoceptive awareness relevant to dietary consumption. Objective: To evaluate the effects of the Mindfulness-Based Blood Pressure Reduction (MB-BP) program on interoceptive awareness and DASH adherence. Design, Setting, and Participants: Parallel-group, phase 2, sequentially preregistered randomized clinical trials were conducted from June 1, 2017, to November 30, 2020. Follow-up was 6 months. Participants with elevated unattended office BP (≥120/80 mm Hg) were recruited from the population near Providence, Rhode Island. Of 348 participants assessed for eligibility, 67 did not meet inclusion criteria, 17 declined, and 63 did not enroll prior to study end date. In total, 201 participants were randomly assigned, 101 to the MB-BP program and 100 to the enhanced usual care control group, with 24 (11.9%) unavailable for follow-up. Outcome assessors and the data analyst were blinded to group allocation. Analyses were performed using intention-to-treat principles from June 1, 2022, to August 30, 2023. Interventions: The 8-week MB-BP program was adapted for elevated BP, including personalized feedback, education, and mindfulness training directed to hypertension risk factors. Both MB-BP and control groups received home BP monitoring devices with instructions and options for referral to primary care physicians. The control group also received educational brochures on controlling high BP. Main Outcomes and Measures: The primary outcome was Multidimensional Assessment of Interoceptive Awareness (MAIA) questionnaire scores (range 0-5, with higher scores indicating greater interoceptive awareness), and the secondary outcome was DASH adherence scores assessed via a 163-item Food Frequency Questionnaire (range 0-11, with higher scores indicating improved DASH adherence), all compared using regression analyses. Results: Among 201 participants, 118 (58.7%) were female, 163 (81.1%) were non-Hispanic White, and the mean (SD) age was 60.0 (12.2) years. The MB-BP program increased the MAIA score by 0.54 points (95% CI, 0.35-0.74 points; P < .001; Cohen d = 0.45) at 6 months vs control. In participants with poor baseline DASH adherence, the MB-BP program also significantly increased the DASH score by 0.62 points (95% CI, 0.13-1.11 points; P = .01; Cohen d = 0.71) at 6 months vs controls. The intervention was also associated with a 0.34-point improvement in the DASH diet score in all MB-BP participants from baseline (95% CI, 0.09-0.59 points; P = .01; Cohen d = 0.27), while the control group showed a -0.04 point change in DASH diet score from baseline to 6 months (95% CI, -0.31 to 0.24 points; P = .78; Cohen d = -0.03). Conclusions and Relevance: A mindfulness program adapted to improving health behaviors to lower BP improved interoceptive awareness and DASH adherence. The MB-BP program could support DASH dietary adherence in adults with elevated BP. Clinical Trial Registration: ClinicalTrials.gov Identifiers: NCT03859076 and NCT03256890.

Amyloid Positron Emission Tomography and Subsequent Health Care Use Among Medicare Beneficiaries With Mild Cognitive Impairment or Dementia.

Importance: Results of amyloid positron emission tomography (PET) have been shown to change the management of patients with mild cognitive impairment (MCI) or dementia who meet Appropriate Use Criteria (AUC). Objective: To determine if amyloid PET is associated with reduced hospitalizations and emergency department (ED) visits over 12 months in patients with MCI or dementia. Design, Setting, and Participants: This nonrandomized controlled trial analyzed participants in the Imaging Dementia-Evidence for Amyloid Scanning (IDEAS) study, an open-label, multisite, longitudinal study that enrolled participants between February 2016 and December 2017 and followed up through December 2018. These participants were recruited at 595 clinical sites that provide specialty memory care across the US. Eligible participants were Medicare beneficiaries 65 years or older with a diagnosis of MCI or dementia within the past 24 months who met published AUC for amyloid PET. Each IDEAS study participant was matched to a control Medicare beneficiary who had not undergone amyloid PET. Data analysis was conducted on December 13, 2022. Exposure: Participants underwent amyloid PET at imaging centers. Main Outcomes and Measures: The primary end points were the proportions of patients with 12-month inpatient hospital admissions and ED visits. One of 4 secondary end points was the rate of hospitalizations and rate of ED visits in participants with positive vs negative amyloid PET results. Health care use was ascertained from Medicare claims data. Results: The 2 cohorts (IDEAS study participants and controls) each comprised 12 684 adults, including 6467 females (51.0%) with a median (IQR) age of 77 (73-81) years. Over 12 months, 24.0% of the IDEAS study participants were hospitalized, compared with 25.1% of the matched control cohort, for a relative reduction of -4.49% (97.5% CI, -9.09% to 0.34%). The 12-month ED visit rates were nearly identical between the 2 cohorts (44.8% in both IDEAS study and control cohorts) for a relative reduction of -0.12% (97.5% CI, -3.19% to 3.05%). Both outcomes fell short of the prespecified effect size of 10% or greater relative reduction. Overall, 1467 of 6848 participants (21.4%) with positive amyloid PET scans were hospitalized within 12 months compared with 1081 of 4209 participants (25.7%) with negative amyloid PET scans (adjusted odds ratio, 0.83; 95% CI, 0.78-0.89). Conclusions and Relevance: Results of this nonrandomized controlled trial showed that use of amyloid PET was not associated with a significant reduction in 12-month hospitalizations or ED visits. Rates of hospitalization were lower in patients with positive vs negative amyloid PET results.

Bayesian record linkage with variables in one file.

In many healthcare and social science applications, information about units is dispersed across multiple data files. Linking records across files is necessary to estimate the associations of interest. Common record linkage algorithms only rely on similarities between linking variables that appear in all the files. Moreover, analysis of linked files often ignores errors that may arise from incorrect or missed links. Bayesian record linking methods allow for natural propagation of linkage error, by jointly sampling the linkage structure and the model parameters. We extend an existing Bayesian record linkage method to integrate associations between variables exclusive to each file being linked. We show analytically, and using simulations, that the proposed method can improve the linking process, and can result in accurate inferences. We apply the method to link Meals on Wheels recipients to Medicare enrollment records.

Effects of Adapted Mindfulness Training on Interoception and Adherence to the Dietary Approaches to Stop Hypertension (DASH) Diet: The MB-BP Randomized Clinical Trial.

Background: Hypertension is a major cause of cardiovascular disease. The Dietary Approaches to Stop Hypertension (DASH) diet lowers blood pressure (BP). However, adherence is typically low. Mindfulness training adapted to improving health behaviors that lower BP could improve DASH adherence, in part through improved interoceptive awareness relevant to dietary consumption. The primary objective of the MB-BP trial was to evaluate effects of the Mindfulness-Based Blood Pressure Reduction (MB-BP) program on interoceptive awareness. Secondary objectives assessed whether MB-BP impacts DASH adherence, and explored whether interoceptive awareness mediates DASH dietary changes. Methods: Parallel-group phase 2 randomized clinical trial conducted from June 2017-November 2020 with 6 months follow-up. Data analyst was blinded to group allocation. Participants had elevated unattended office BP (≥120/80 mmHg). We randomized 201 participants to MB-BP (n=101) or enhanced usual care control (n=100). Loss-to-follow-up was 11.9%. Outcomes were the Multidimensional Assessment of Interoceptive Awareness (MAIA; range 0-5) score, and the DASH adherence score (range 0-11) assessed via a 163-item Food Frequency Questionnaire. Results: Participants were 58.7% female, 81.1% non-Hispanic white, with mean age 59.5 years. Regression analyses demonstrated that MB-BP increased the MAIA score by 0.54 (95% CI: 0.35,0.74; p<.0001) at 6 months follow-up vs. control. MB-BP increased the DASH score by 0.62 (95% CI: 0.13,1.11; p=0.01) at 6 months vs. control, in participants with poor DASH adherence at baseline. Conclusions: A mindfulness training program adapted to improving health behaviors that lower BP improved interoceptive awareness and DASH adherence. MB-BP could support DASH dietary adherence in adults with elevated BP. Clinical Trial Registration: Clinicaltrials.gov identifier NCT03859076 (https://clinicaltrials.gov/ct2/show/NCT03859076; MAIA) and NCT03256890 (https://clinicaltrials.gov/ct2/show/NCT03256890; DASH diet adherence).

Identifying Medicare beneficiaries with Alzheimer's disease and related dementia using home health OASIS assessments.

BACKGROUND: Home health services are an important site of care following hospitalization among Medicare beneficiaries, providing health assessments that can be leveraged to detect diagnoses that are not available in other data sources. In this work, we aimed to develop a parsimonious and accurate algorithm using home health outcome and assessment information set (OASIS) measures to identify Medicare beneficiaries with a diagnosis of Alzheimer's disease and related dementia (ADRD). METHODS: We conducted a retrospective cohort study of Medicare beneficiaries with a complete OASIS start of care assessment in 2014, 2016, 2018, or 2019 to determine how well the items from various versions could identify those with an ADRD diagnosis by the assessment date. The prediction model was developed iteratively, comparing the performance of different models in terms of sensitivity, specificity, and accuracy of prediction, from a multivariable logistic regression model using clinically relevant variables, to regression models with all available variables and predictive modeling techniques, to estimate the best performing parsimonious model. RESULTS: The most important predictors of having a diagnosis of ADRD by the start of care OASIS assessment were a prior discharge diagnosis of ADRD among those admitted from an inpatient setting, and frequently exhibiting symptoms of confusion. Results from the parsimonious model were consistent across the four annual cohorts and OASIS versions with high specificity (above 96%), but poor sensitivity (below 58%). The positive predictive value was high, over 87% across study years. CONCLUSIONS: The proposed algorithm has high accuracy, requires a single OASIS assessment, is easy to implement without sophisticated statistical models, and can be used across four OASIS versions and in situations where claims are not available to identify individuals with a diagnosis of ADRD, including the growing population of Medicare Advantage beneficiaries.

Significant Incidental Findings in the National Lung Screening Trial.

Importance: Low-dose computed tomography (LDCT) lung screening has been shown to reduce lung cancer mortality. Significant incidental findings (SIFs) have been widely reported in patients undergoing LDCT lung screening. However, the exact nature of these SIF findings has not been described. Objective: To describe SIFs reported in the LDCT arm of the National Lung Screening Trial and classify SIFs as reportable or not reportable to the referring clinician (RC) using the American College of Radiology's white papers on incidental findings. Design, Setting, and Participants: This was a retrospective case series study of 26 455 participants in the National Lung Screening Trial who underwent at least 1 screening examination with LDCT. The trial was conducted from 2002 to 2009, and data were collected at 33 US academic medical centers. Main Outcomes and Measures: Significant incident findings were defined as a final diagnosis of a negative screen result with significant abnormalities that were not suspicious for lung cancer or a positive screen result with emphysema, significant cardiovascular abnormality, or significant abnormality above or below the diaphragm. Results: Of 26 455 participants, 10 833 (41.0%) were women, the mean (SD) age was 61.4 (5.0) years, and there were 1179 (4.5%) Black, 470 (1.8%) Hispanic/Latino, and 24 123 (91.2%) White individuals. Participants were scheduled to undergo 3 screenings during the course of the trial; the present study included 75 126 LDCT screening examinations performed for 26 455 participants. A SIF was reported for 8954 (33.8%) of 26 455 participants who were screened with LDCT. Of screening tests with a SIF detected, 12 228 (89.1%) had a SIF considered reportable to the RC, with a higher proportion of reportable SIFs among those with a positive screen result for lung cancer (7632 [94.1%]) compared with those with a negative screen result (4596 [81.8%]). The most common SIFs reported included emphysema (8677 [43.0%] of 20 156 SIFs reported), coronary artery calcium (2432 [12.1%]), and masses or suspicious lesions (1493 [7.4%]). Masses included kidney (647 [3.2%]), liver (420 [2.1%]), adrenal (265 [1.3%]), and breast (161 [0.8%]) abnormalities. Classification was based on free-text comments; 2205 of 13 299 comments (16.6%) could not be classified. The hierarchical reporting of final diagnosis in NLST may have been associated with an overestimate of severe emphysema in participants with a positive screen result for lung cancer. Conclusions and Relevance: This case series study found that SIFs were commonly reported in the LDCT arm of the National Lung Screening Trial, and most of these SIFs were considered reportable to the RC and likely to require follow-up. Future screening trials should standardize SIF reporting.

Effect of Adapted Mindfulness Training in Participants With Elevated Office Blood Pressure: The MB-BP Study: A Randomized Clinical Trial.

Background Hypertension is a leading risk factor for cardiovascular disease. Despite availability of effective lifestyle and medication treatments, blood pressure (BP) is poorly controlled in the United States. Mindfulness training may offer a novel approach to improve BP control. The objective was to evaluate the effects of Mindfulness-Based Blood Pressure Reduction (MB-BP) versus enhanced usual care control on unattended office systolic BP. Methods and Results Methods included a parallel-group phase 2 randomized clinical trial conducted from June 2017 to November 2020. Follow-up time was 6 months. Outcome assessors and data analyst were blinded to group allocation. Participants had elevated unattended office BP (≥120/80 mm Hg). We randomized 201 participants to MB-BP (n=101) or enhanced usual care control (n=100). MB-BP is a mindfulness-based program adapted for elevated BP. Loss-to-follow-up was 17.4%. The primary outcome was change in unattended office systolic BP at 6 months. A total of 201 participants (58.7% women; 81.1% non-Hispanic White race and ethnicity; mean age, 59.5 years) were randomized. Results showed that MB-BP was associated with a 5.9-mm Hg reduction (95% CI, -9.1 to -2.8 mm Hg) in systolic BP from baseline and outperformed the control group by 4.5 mm Hg at 6 months (95% CI, -9.0 to -0.1 mm Hg) in prespecified analyses. Plausible mechanisms with evidence to be impacted by MB-BP versus control were sedentary activity (-350.8 sitting min/wk [95% CI, -636.5 to -65.1] sitting min/wk), Dietary Approaches to Stop Hypertension diet (0.32 score [95% CI, -0.04 to 0.67]), and mindfulness (7.3 score [95% CI, 3.0-11.6]). Conclusions A mindfulness-based program adapted for individuals with elevated BP showed clinically relevant reductions in systolic BP compared with enhanced usual care. Mindfulness training may be a useful approach to improve BP. Registration URL: https://www.clinicaltrials.gov; Unique identifiers: NCT03256890 and NCT03859076.

The potential impact of proxy reports for symptom experience and care quality and experience in advanced cancer.

OBJECTIVES: As the US tests models of care for the seriously ill, patient perceptions of the quality of care are important. Proxies are often needed for this group. We sought to understand the potential impact of proxy reports for the assessment of care quality and experience in cancer. METHODS: Secondary data analysis of a deidentified prospective study that included surveys of perceived care quality, including symptom management, from patients with advanced cancer receiving chemotherapy and their caregivers. Surveys were administered at diagnosis (time 1) and treatment (time 2), with top-box scoring used for analysis. Overall concordance was assessed using metrics including Gwet's AC1. The proportion of the highest scores by respondent type within 2 subgroups were examined: (1) symptom burden and (2) practice setting. RESULTS: Data from 83 dyads were analyzed. Proxies and patients frequently reported the highest scores for quality (time 1: proxies: 77% and patients: 80%). At time 1, 14% of proxies and 10% of patients reported an unmet need for symptom palliation. Most patients reporting an unmet need gave the top score for quality (75%), but fewer proxies did so (45%). Proxy and patient reports were similar within practice settings. Concordance was at least moderate (nearly all outcomes >0.5 and some >0.8) by Gwet's AC1. SIGNIFICANCE OF RESULTS: Findings of at least moderate concordance and similar experience outcomes within subgroups suggest the use of proxies may not change estimates substantially. However, consideration should be taken when evaluating symptom management, particularly if such evaluations inform assessment of provider performance.

A Bayesian MultiLayer Record Linkage Procedure to Analyze Post-Acute Care Recovery of Patients with Traumatic Brain Injury.

Understanding associations between injury severity and postacute care recovery for patients with traumatic brain injury (TBI) is crucial to improving care. Estimating these associations requires information on patients' injury, demographics, and healthcare utilization, which are dispersed across multiple data sets. Because of privacy regulations, unique identifiers are not available to link records across these data sets. Record linkage methods identify records that represent the same patient across data sets in the absence of unique identifiers. With a large number of records, these methods may result in many false links. Health providers are a natural grouping scheme for patients, because only records that receive care from the same provider can represent the same patient. In some cases, providers are defined within each data set, but they are not uniquely identified across data sets. We propose a Bayesian record linkage procedure that simultaneously links providers and patients. The procedure improves the accuracy of the estimated links compared to current methods. We use this procedure to merge a trauma registry with Medicare claims to estimate the association between TBI patients' injury severity and postacute care recovery.

Reformulating provider profiling by grouping providers treating similar patients prior to evaluating performance.

Standard approaches to comparing health providers' performance rely on hierarchical logistic regression models that adjust for patient characteristics at admission. Estimates from these models may be misleading when providers treat different patient populations and the models are misspecified. To address this limitation, we propose a novel profiling approach that identifies groups of providers treating similar populations of patients and then evaluates providers' performance within each group. The groups of providers are identified using a Bayesian multilevel finite mixture of general location models. To compare the performance of our proposed profiling approach to standard methods, we use patient-level data from 119 skilled nursing facilities in Massachusetts. We use simulated and observed outcome data to explore the performance of these profiling methods in different settings. In simulations, our proposed method classifies providers to groups with similar patients' admission characteristics. In addition, in the presence of limited overlap in patient characteristics across providers and misspecifications of the outcome model, the provider-level estimates obtained using our approach identified providers that under- and overperformed compared to the standard regression-based approaches more accurately.

The Effect of Short-Wavelength White LED Illumination throughout the Night on the Milk Fatty Acid Profile of High-Yielding Dairy Cows.

Fatty acid levels in milk vary between day and night milking. Many dairy cows are still kept under white light-emitting diode (W-LED) illumination throughout the night, although it is known to disrupt endogenous circadian rhythms. We investigated the effects of whole-night W-LED illumination (125 lux) on milk yield and circadian composition, compared to a natural light−dark (LD) cycle of 10 h light. Mid−late lactation cows (n = 34) that were exposed to natural LD cycle showed circadian variation in milk fat composition, characterized by higher health-promoting monounsaturated fatty acid (MUFA; 24.2 ± 0.4 vs. 23.2 ± 0.4 g/100 g fat, p < 0.001) and lower saturated fatty acid levels (71.2 ± 0.4 vs. 72.5 ± 0.4, p < 0.001) at 13:30 h (day milk) than at 03:30 h (night milk). Compared to natural LD (n = 16), W-LED (n = 18) did not affect milk production or milk fat yields, yet abolished the milking time variation in milk fat composition towards a less healthy fatty acid profile. This lowered MUFA levels of day milk (23.8 ± 0.4 vs. 26.7 ± 0.4, p < 0.01). Therefore, W-LED has no commercial advantage over the tested natural LD cycle, and conversely, even shows circadian disruption. Accordingly, a natural LD cycle of 10 h light is preferable over W-LED from the perspective of cost savings, the cows' well-being, and preserving the natural milk fat profile, as the nutritional value of the day milk is slightly higher.

Successful Community Discharge Among Older Adults With Traumatic Brain Injury Admitted to Inpatient Rehabilitation Facilities.

Objective: To identify admission characteristics that predict a successful community discharge from an inpatient rehabilitation facility (IRF) among older adults with traumatic brain injury (TBI). Design: In a retrospective cohort study, we leveraged probabilistically linked Medicare Administrative, IRF-Patient Assessment Instrument, and National Trauma Data Bank data to build a parsimonious logistic model to identify characteristics associated with successful discharge. Multiple imputation methods were used to estimate effects across linked datasets to account for potential data linkage errors. Setting: Inpatient Rehabilitation Facilities in the U.S. Participants: The sample included a mean of 1060 community-dwelling adults aged 66 years and older across 30 linked datasets (N=1060). All were hospitalized after TBI between 2011 and 2015 and then admitted to an IRF. The mean age of the sample was 79.7 years, and 44.3% of the sample was women. Interventions: Not applicable. Main Outcome Measures: Successful discharge home. Results: Overall, 64.6% of the sample was successfully discharged home. A logistic model including 4 predictor variables: Functional Independence Measure motor (FIM-M) and cognitive (FIM-C) scores, pre-injury chronic conditions, and pre-injury living arrangement, that were significantly associated with successful discharge, resulted in acceptable discrimination (area under the curve: 0.76, 95% confidence interval [CI]: 0.72-0.81). Higher scores on the FIM-M (odds ratio [OR]:1.07, 95% CI: 1.05-1.09) and FIM-C (OR: 1.05, 95% CI: 1.02-1.08) were associated with greater odds of successful discharge, whereas living alone vs with others (OR: 0.46, 95% CI: 0.30-0.71) and a greater number of chronic conditions (OR: 0.94, 95% CI: 0.90-0.99) were associated with lower odds of successful discharge. Conclusions: The results provide a parsimonious model for predicting successful discharge among older adults admitted to an IRF after a TBI-related hospitalization and provide clinically useful information to inform discharge planning.

Review and evaluation of imputation methods for multivariate longitudinal data with mixed-type incomplete variables.

Estimating relationships between multiple incomplete patient measurements requires methods to cope with missing values. Multiple imputation is one approach to address missing data by filling in plausible values for those that are missing. Multiple imputation procedures can be classified into two broad types: joint modeling (JM) and fully conditional specification (FCS). JM fits a multivariate distribution for the entire set of variables, but it may be complex to define and implement. FCS imputes missing data variable-by-variable from a set of conditional distributions. In many studies, FCS is easier to define and implement than JM, but it may be based on incompatible conditional models. Imputation methods based on multilevel modeling show improved operating characteristics when imputing longitudinal data, but they can be computationally intensive, especially when imputing multiple variables simultaneously. We review current MI methods for incomplete longitudinal data and their implementation on widely accessible software. Using simulated data from the National Health and Aging Trends Study, we compare their performance for monotone and intermittent missing data patterns. Our simulations demonstrate that in a longitudinal study with a limited number of repeated observations and time-varying variables, FCS-Standard is a computationally efficient imputation method that is accurate and precise for univariate single-level and multilevel regression models. When the analyses comprise multivariate multilevel models, FCS-LMM-latent is a statistically valid procedure with overall more accurate estimates, but it requires more intensive computations. Imputation methods based on generalized linear multilevel models can lead to biased subject-level variance estimates when the statistical analyses involve hierarchical models.

Home-delivered meals for people with dementia: Which model delays nursing home placement? - Protocol for a feasibility pilot.

BACKGROUND: Home-delivered meals promote food security, socialization, and independence among homebound older adults. However, it is unclear which of the two predominant modes of meal delivery, daily-delivered vs. drop-shipped, frozen meals, promotes community living for homebound older adults with dementia. Our objective is to present the protocol for a pilot multisite, two-arm, pragmatic feasibility trial comparing the effect of two modes of meal delivery on nursing home placement among people with dementia. We include justifications for individual randomization with different consent processes and waivers for specific elements of the trial. METHODS: 236 individuals with dementia on waiting lists at three Meals on Wheels programs' in Florida and Texas will be randomized to receive either: 1) meals delivered multiple times per week by a Meals on Wheels volunteer or paid driver who may socialize with and provide an informal wellness check or 2) frozen meals that are mailed to participants' homes every two weeks. We will evaluate and refine processes for recruitment and randomization; assess adherence to the intervention; identify common themes in participant experience; and test processes for linking participant data with Medicare records and nursing home assessment data. We will conduct exploratory analyses examining time to nursing home placement, the primary outcome for the larger trial. CONCLUSION: This pilot will inform the follow-on large-scale, definitive pragmatic trial. In addition, the justifications for individual randomization with differing consent procedures for elements of a pragmatic trial provide a model for future trialists looking to develop ethical and feasible pragmatic studies enrolling people with dementia.