Assessment of COVID-19 Messaging Strategies to Increase Testing for Students With Intellectual and Developmental Disabilities.

BACKGROUND: Students with intellectual and developmental disabilities (IDD) were disproportionately impacted by the COVID-19 pandemic. This study's goal was to assess the effectiveness of 2 messaging strategies on participation in SARS-CoV-2 weekly testing. METHODS: Cluster randomized trials were conducted at 2 school systems, the special school district (SSD) and Kennedy Krieger Institute (Kennedy) to assess messaging strategies, general versus enhanced, to increase weekly screening for SARS-CoV-2. Testing was offered to staff and students from November 23, 2020 to May 26, 2022. The primary outcomes were percentage of students and staff consented weekly and percentage of study participants who had a test performed weekly. Generalized estimating equation models were utilized to evaluate the primary outcomes. RESULTS: Increases in enrollment and testing occurred during study start up, the beginning of school years, and following surges in both systems. No statistical difference was observed in the primary outcomes between schools receiving standard versus enhanced messaging. IMPLICATIONS FOR SCHOOL HEALTH POLICY, PRACTICE, AND EQUITY: Frequent and consistent communication is vital for families and staff. Weekly screening testing within schools is possible and highlighted the importance of utilizing equitable protocols to provide important testing to students with IDD. CONCLUSION: Enhanced messaging strategies did not increase the number of participants enrolled or the percentage of enrolled participants being tested on a weekly basis.

An overview of optimal designs under a given budget in cluster randomized trials with a binary outcome.

Cluster randomized trial design may raise financial concerns because the cost to recruit an additional cluster is much higher than to enroll an additional subject in subject-level randomized trials. Therefore, it is desirable to develop an optimal design. For local optimal designs, optimization means the minimum variance of the estimated treatment effect under the total budget. The local optimal design derived from the variance needs the input of an association parameter ρ in terms of a "working" correlation structure R(ρ) in the generalized estimating equation models. When the range of ρ instead of an exact value is available, the parameter space is defined as the range of ρ and the design space is defined as enrollment feasibility, for example, the number of clusters or cluster size. For any value ρ within the range, the optimal design and relative efficiency for each design in the design space is obtained. Then, for each design in the design space, the minimum relative efficiency within the parameter space is calculated. MaxiMin design is the optimal design that maximizes the minimum relative efficiency among all designs in the design space. Our contributions are threefold. First, for three common measures (risk difference, risk ratio, and odds ratio), we summarize all available local optimal designs and MaxiMin designs utilizing generalized estimating equation models when the group allocation proportion is predetermined for two-level and three-level parallel cluster randomized trials. We then propose the local optimal designs and MaxiMin designs using the same models when the group allocation proportion is undecided. Second, for partially nested designs, we develop the optimal designs for three common measures under the setting of equal number of subjects per cluster and exchangeable working correlation structure in the intervention group. Third, we create three new Statistical Analysis System (SAS) macros and update two existing SAS macros for all the optimal designs. We provide two examples to illustrate our methods.

Quantifying rural disparity in healthcare utilization in the United States: Analysis of a large midwestern healthcare system.

PURPOSE: The objective of this study is to identify how predisposing characteristics, enabling factors, and health needs are jointly and individually associated with epidemiological patterns of outpatient healthcare utilization for patients who already interact and engage with a large healthcare system. METHODS: We retrospectively analyzed electronic medical record data from 1,423,166 outpatient clinic visits from 474,674 patients in a large healthcare system from June 2018-March 2019. We evaluated patients who exclusively visited rural clinics versus patients who exclusively visited urban clinics using Chi-square tests and the generalized estimating equation Poisson regression methodology. The outcome was healthcare use defined by the number of outpatient visits to clinics within the healthcare system and independent variables included age, gender, race, ethnicity, smoking status, health status, and rural or urban clinic location. Supplementary analyses were conducted observing healthcare use patterns within rural and urban clinics separately and within primary care and specialty clinics separately. FINDINGS: Patients in rural clinics vs. urban clinics had worse health status [χ2 = 935.1, df = 3, p<0.0001]. Additionally, patients in rural clinics had lower healthcare utilization than patients in urban clinics, adjusting for age, race, ethnicity, gender, smoking, and health status [2.49 vs. 3.18 visits, RR = 0.61, 95%CI = (0.55,0.68), p<0.0001]. Further, patients in rural clinics had lower utilization for both primary care and specialty care visits. CONCLUSIONS: Within the large healthcare system, patients in rural clinics had lower outpatient healthcare utilization compared to their urban counterparts despite having potentially elevated health needs reflected by a higher number of unique health diagnoses documented in their electronic health records after adjusting for multiple factors. This work can inform future studies exploring the roots and ramifications of rural-urban healthcare utilization differences and rural healthcare disparities.

Impact of Nighttime Lung Transplantation on Outcomes and Costs.

BACKGROUND: Previous studies in the field of organ transplantation have shown a possible association between nighttime surgery and adverse outcomes. We aim to determine the impact of nighttime lung transplantation on postoperative outcomes, long-term survival, and overall cost. METHODS: We performed a single-center retrospective cohort analysis of adult lung transplant recipients who underwent transplantation between January 2006 and December 2017. Data were extracted from our institutional Lung Transplant Registry and Mid-America Transplant services database. Patients were classified into 2 strata, daytime (5 AM to 6 PM) and nighttime (6 PM to 5 AM), based on time of incision. Major postoperative adverse events, 5-year overall survival, and 5-year bronchiolitis obliterans syndrome-free survival were examined after propensity score matching. Additionally we compared overall cost of transplantation between nighttime and daytime groups. RESULTS: Of the 740 patients included in this study, 549 (74.2%) underwent daytime transplantation and 191 (25.8%) underwent nighttime transplantation (NT). Propensity score matching yielded 187 matched pairs. NT was associated with a higher risk of having any major postoperative adverse event (adjusted odds ratio, 1.731; 95% confidence interval, 1.093-2.741; P = .019), decreased 5-year overall survival (adjusted hazard ratio, 1.798; 95% confidence interval, 1.079-2.995; P = .024), and decreased 5-year bronchiolitis obliterans syndrome-free survival (adjusted hazard ratio, 1.556; 95% confidence interval, 1.098-2.205; P = .013) in doubly robust multivariable analyses after propensity score matching. Overall cost for NT and daytime transplantation was similar. CONCLUSIONS: NT was associated with a higher risk of major postoperative adverse events, decreased 5-year overall survival, and decreased 5-year bronchiolitis obliterans syndrome-free survival. Our findings suggest potential benefits of delaying NT to daytime transplantation.

Shipping Lungs Greater Distances Increases Costs Without Cutting Waitlist Mortality.

BACKGROUND: On November 24, 2017, a change in lung allocation policy was initiated to replace the donor service area with a 250-nautical-mile radius circle around the donor hospital. We aim to analyze the consequences of this change, including organ acquisition cost and transplant outcomes, at the national level. METHODS: Data on adult patients undergoing lung transplantation between April 27, 2017, and June 22, 2018 (30 weeks before to 30 weeks after allocation policy change) were extracted from the Scientific Registry of Transplant Recipients database. Patients were classified into pre-change and post-change subgroups. Six-month overall survival was evaluated by Kaplan-Meier analysis. Organ acquisition costs were compared between the pre-change and post-change groups. RESULTS: Of the 3317 adult patients removed from the waiting list during the study period (pre-change 1637 vs post-change 1680), 2734 underwent transplantation (pre-change 1371 of 1637 [83.8%] vs post-change 1363 of 1680 [81.1%]), and 382 died or became too sick to be transplanted (pre-change 168 of 1637 [10.3%] vs post-change 214 of 1680 [12.7%], P = .077). Six-month survival rates of transplanted patients were similar between the two groups. However, average organ acquisition costs increased after policy change (pre-change $50,735 ± $10,858 vs post-change $53,440 ± $10,247, P < .001) with an increase in nonlocal donors (pre-change 44.3% vs post-change 68.9%, P < .001). CONCLUSIONS: Organ acquisition costs and resource utilization increased with the new lung allocation policy, whereas deaths on the waiting list or after transplantation did not decrease. Further optimization of the allocation policy is necessary to balance access to transplant and proper stewardship of human and financial resources.

Low Burden Strategies Are Needed to Reduce Smoking in Rural Healthcare Settings: A Lesson from Cancer Clinics.

Rural populations face significant smoking-related health disparities, such as a higher prevalence of lung cancer and cancer mortality, higher prevalence of smoking, and lower likelihood of receiving cessation treatment than urban counterparts. A significant proportion of health disparities in rural populations could be eliminated with low-barrier, easy-access treatment delivery methods for smoking cessation. In this study, we assessed treatment engagement among patients in rural and urban settings. Then, we examined the effect of an electronic health record-based smoking cessation module on patient receipt of evidence-based cessation care. As part of a quality improvement project, we retrospectively observed 479,798 unique patients accounting for 1,426,089 outpatient clinical encounters from June 2018-March 2019 across 766 clinics in the greater St. Louis, southern Illinois, and mid-Missouri regions. Smoking prevalence was higher in rural versus urban clinics (20.7% vs. 13.9%, 6.7% [6.3, 7.1], odds ratio = 1.6 [1.6, 1.6], p < 0.0001), and yet rural smokers were nearly three times less likely than their urban counterparts to receive any smoking cessation treatment after adjusting for patients clustering within clinics (9.6% vs. 25.8%, -16.2% [-16.9, -15.5], odds ratio = 0.304 [0.28, 0.33], p < 0.0001). Although not yet scaled up in the rural setting, we examined the effects of a low-burden, point-of-care smoking module currently implemented in cancer clinics. After adjusting for patient clustering within clinics, patients were more likely to receive smoking treatment in clinics that implemented the module versus clinics that did not implement the module (31.2% vs. 17.5%, 13.7% [10.8, 16.6], odds ratio = 2.1 [1.8, 2.6], p < 0.0001). The point-of-care treatment approach offers a promising solution for rural settings, both in and outside the context of cancer care.

Improving Cancer Patients' Insurance Choices (I Can PIC): A Randomized Trial of a Personalized Health Insurance Decision Aid.

BACKGROUND: Many cancer survivors struggle to choose a health insurance plan that meets their needs because of high costs, limited health insurance literacy, and lack of decision support. We developed a web-based decision aid, Improving Cancer Patients' Insurance Choices (I Can PIC), and evaluated it in a randomized trial. MATERIALS AND METHODS: Eligible individuals (18-64 years, diagnosed with cancer for ≤5 years, English-speaking, not Medicaid or Medicare eligible) were randomized to I Can PIC or an attention control health insurance worksheet. Primary outcomes included health insurance knowledge, decisional conflict, and decision self-efficacy after completing I Can PIC or the control. Secondary outcomes included knowledge, decisional conflict, decision self-efficacy, health insurance literacy, financial toxicity, and delayed care at a 3-6-month follow-up. RESULTS: A total of 263 of 335 eligible participants (79%) consented and were randomized; 206 (73%) completed the initial survey (106 in I Can PIC; 100 in the control), and 180 (87%) completed a 3-6 month follow-up. After viewing I Can PIC or the control, health insurance knowledge and a health insurance literacy item assessing confidence understanding health insurance were higher in the I Can PIC group. At follow-up, the I Can PIC group retained higher knowledge than the control; confidence understanding health insurance was not reassessed. There were no significant differences between groups in other outcomes. Results did not change when controlling for health literacy and employment. Both groups reported having limited health insurance options. CONCLUSION: I Can PIC can improve cancer survivors' health insurance knowledge and confidence using health insurance. System-level interventions are needed to lower financial toxicity and help patients manage care costs. IMPLICATIONS FOR PRACTICE: Inadequate health insurance compromises cancer treatment and impacts overall and cancer-specific mortality. Uninsured or underinsured survivors report fewer recommended cancer screenings and may delay or avoid needed follow-up cancer care because of costs. Even those with adequate insurance report difficulty managing care costs. Health insurance decision support and resources to help manage care costs are thus paramount to cancer survivors' health and care management. We developed a web-based decision aid, Improving Cancer Patients' Insurance Choices (I Can PIC), and evaluated it in a randomized trial. I Can PIC provides health insurance information, supports patients through managing care costs, offers a list of financial and emotional support resources, and provides a personalized cost estimate of annual health care expenses across plan types.

Prospective assessment of the clinical benefit of a tailored cancer gene set built on a next-generation sequencing platform in patients with recurrent or metastatic head and neck cancer.

We performed a prospective trial to assess the clinical benefit of a tailored gene set built on a next-generation sequencing (NGS) platform in patients with recurrent or metastatic head and neck squamous cell carcinoma (HNSCC). Archived tumor tissue obtained from patients with recurrent or metastatic HNSCC was analyzed for variants by a tailored Comprehensive Cancer Gene set of 40 genes (CCG-40) performed on a NGS platform. These data were provided to clinicians to inform treatment decisions. The primary endpoint was clinical benefit (disease control) that resulted from selection and administration of a targeted therapy based on results of the CCG-40. Barriers to performance and implementation of the assay were recorded. Forty patients enrolled. Primary tumor sites included oropharynx (14), larynx/hypopharynx (14), oral cavity (9), and nasopharynx (3). The CCG-40 assay was performed in 23 patients (57.5%), but not in 17 patients due inadequate financial coverage (12) or insufficient tumor tissue (5). Potentially actionable tumor variants were identified in 3 patients (7.5%); all were PIK3CA variants. Due to inability to obtain access to candidate drugs (2) or rapid decline in performance status (1), none of these patients received targeted therapy informed by the CCG-40 results. The CCG-40 assay did not provide clinical benefit to the patients on this trial. Identification of limitations of the assay and barriers to the test's performance and application may be used to optimize this strategy in future trials.

Utilization Trends, Outcomes, and Cost in Minimally Invasive Lobectomy.

BACKGROUND: Minimally invasive lobectomy is associated with decreased morbidity and length of stay. However, there have been few published analyses using recent, population-level data to compare clinical outcomes and cost by surgical approach, inclusive of robotic-assisted thoracoscopic surgery (RATS). The objective of this study was to compare outcomes and hospitalization costs among patients undergoing open, video-assisted thoracoscopic surgery (VATS) and RATS lobectomy. METHODS: We identified patients who underwent elective lobectomy in the Healthcare Cost and Utilization Project Florida State Inpatient Database (2008 to 2014). Hierarchical logistic and linear regression models were used to compare in-hospital mortality, postoperative complications, prolonged length of stay, 30-day readmissions, and index hospitalization costs among cohorts. RESULTS: We identified 15,038 patients, of whom 8501 (56.5%), 4608 (30.7%), and 1929 (12.8%) underwent open, VATS, and RATS lobectomy, respectively. Robotic-assisted lobectomies comprised less than 1% of total lobectomy volume in 2008, and grew to 25% of lobectomy volume by 2014. Both VATS and RATS lobectomies were associated with decreased in-hospital mortality compared to thoracotomy (VATS odds ratio 0.69, 95% confidence interval, 0.50 to 0.94; RATS odds ratio 0.58, 95% confidence interval, 0.35 to 0.96; P = .016). After adjusting for patient age, sex, income, comorbidities, and hospital teaching status, VATS lobectomy was 2% less expensive (P = .007) and robotic-assisted lobectomy was 13% more expensive (P < .001) than the open approach. CONCLUSIONS: Minimally invasive approaches were associated to improved clinical outcomes compared with open lobectomy. However, only robotic-assisted lobectomy has had rapid growth in utilization. Despite additional cost, RATS lobectomy appears to provide a viable minimally invasive alternative for general thoracic procedures.

Optimal designs in three-level cluster randomized trials with a binary outcome.

Cluster randomized trials (CRTs) were originally proposed for use when randomization at the subject level is practically infeasible or may lead to a severe estimation bias of the treatment effect. However, recruiting an additional cluster costs more than enrolling an additional subject in an individually randomized trial. Under budget constraints, researchers have proposed the optimal sample sizes in two-level CRTs. CRTs may have a three-level structure, in which two levels of clustering should be considered. In this paper, we propose optimal designs in three-level CRTs with a binary outcome, assuming a nested exchangeable correlation structure in generalized estimating equation models. We provide the variance of estimators of three commonly used measures: risk difference, risk ratio, and odds ratio. For a given sampling budget, we discuss how many clusters and how many subjects per cluster are necessary to minimize the variance of each measure estimator. For known association parameters, the locally optimal design is proposed. When association parameters are unknown but within predetermined ranges, the MaxiMin design is proposed to maximize the minimum of relative efficiency over the possible ranges, that is, to minimize the risk of the worst scenario.

Chest computed tomography imaging improves potential lung donor assessment.

OBJECTIVE: Chest computed tomography (CT) imaging is being increasingly used for potential lung donor assessment. However, the efficacy of CT imaging in this setting remains unknown. We hypothesize that chest CT imaging independently affects the decision-making process in donor lung utilization. METHODS: We conducted a retrospective cohort study of all adult donation after brain death donors managed through our local organ procurement organization from June 2011 to November 2016. An experienced thoracic radiologist independently reviewed donor chest CT and chest x-ray images in a blinded, standardized manner to determine the presence of structural lung disease (eg, emphysema, interstitial lung disease [ILD]) and acute abnormalities (eg, traumatic lung injury [TLI]). Distinct models of lung utilization were fit to groups with initial partial pressure of oxygen (iPaO2) ≤300 mm Hg (suboptimal) and iPaO2 >300 mm Hg (optimal). RESULTS: The organ procurement organization managed 753 donors during the study period, with a lung utilization rate ([lung donors/all organ donors] × 100) of 36.5% (275 of 753). Four hundred forty-five (59.1%) donors received chest CT imaging, revealing emphysema (13.7%), ILD (2.5%), and TLI (7.2%). In univariate analysis, findings of TLI (odds ratio [OR], 2.23; 95% confidence interval [CI], 1.08-4.61) were positively associated with lung utilization, whereas findings of emphysema (OR, 0.18; CI, 0.08-0.40) were negatively associated with utilization. In multivariate analysis, CT findings of emphysema (OR, 0.21; CI 0.08-0.54) remained negatively associated with utilization. No potential donors with CT findings of ILD became lung donors. After controlling for chest x-ray findings, chest CT imaging findings of structural lung disease remained negatively associated with utilization (P = .0001). Lung utilization rate in the suboptimal and optimal iPaO2 populations was 35.1% and 41.4%, respectively, and CT findings of emphysema had a significant association with nonutilization in both groups. CONCLUSIONS: In the evaluation of potential lung donors, chest CT imaging findings of structural lung disease, such as emphysema and ILD, have a significant negative association with lung utilization. Our findings suggest that chest CT imaging might be an important adjunct to conventional lung donor assessment criteria.

A Comparison Between Subjective and Objective Methods of Predicting Health Care Expenses to Support Consumers' Health Insurance Plan Choice.

Objective. Numerous electronic tools help consumers select health insurance plans based on their estimated health care utilization. However, the best way to personalize these tools is unknown. The purpose of this study was to compare two common methods of personalizing health insurance plan displays: 1) quantitative healthcare utilization predictions using nationally representative Medical Expenditure Panel Survey (MEPS) data and 2) subjective-health status predictions. We also explored their relations to self-reported health care utilization. Methods. Secondary data analysis was conducted with responses from 327 adults under age 65 considering health insurance enrollment in the Affordable Care Act (ACA) marketplace. Participants were asked to report their subjective health, health conditions, and demographic information. MEPS data were used to estimate predicted annual expenditures based on age, gender, and reported health conditions. Self-reported health care utilization was obtained for 120 participants at a 1-year follow-up. Results. MEPS-based predictions and subjective-health status were related (P < 0.0001). However, MEPS-predicted ranges within subjective-health categories were large. Subjective health was a less reliable predictor of expenses among older adults (age × subjective health, P = 0.04). Neither significantly related to subsequent self-reported health care utilization (P = 0.18, P = 0.92, respectively). Conclusions. Because MEPS data are nationally representative, they may approximate utilization better than subjective health, particularly among older adults. However, approximating health care utilization is difficult, especially among newly insured. Findings have implications for health insurance decision support tools that personalize plan displays based on cost estimates.

Surgeon Variation in Intraoperative Supply Cost for Pancreaticoduodenectomy: Is Intraoperative Supply Cost Associated with Outcomes?

BACKGROUND: With increased scrutiny on the quality and cost of health care, surgeons must be mindful of their outcomes and resource use. We evaluated surgeon-specific intraoperative supply cost (ISC) for pancreaticoduodenectomy and examined whether ISC was associated with patient outcomes. STUDY DESIGN: Patients undergoing open pancreaticoduodenectomy between January 2012 and March 2015 were included. Outcomes were tracked prospectively through postoperative day 90, and ISC was defined as the facility cost of single-use surgical items and instruments, plus facility charges for multiuse equipment. Multivariate logistic regression was used to test associations between ISC and patient outcomes using repeated measures at the surgeon level. RESULTS: There were 249 patients who met inclusion criteria. Median ISC was $1,882 (interquartile range [IQR] $1,497 to $2,281). Case volume for 6 surgeons ranged from 18 to 66. Median surgeon-specific ISC ranged from $1,496 to $2,371. Greater case volume was associated with decreased ISC (p < 0.001). Overall, ISC was not predictive of postoperative complications (p = 0.702) or total hospitalization expenditures (p = 0.195). At the surgeon level, surgeon-specific ISC was not associated with the surgeon-specific incidence of severe complication or any wound infection (p > 0.227 for both), but was associated with delayed gastric emptying (p = 0.004) and postoperative pancreatic fistula (p < 0.001). CONCLUSIONS: In a single-institution cohort of 249 pancreaticoduodenectomies, high-volume surgeons tended to be low-cost surgeons. Across the cohort, ISC was not associated with outcomes. At the surgeon level, associations were noted between ISC and complications, but these may be attributable to unmeasured differences in the postoperative management of patients. These findings suggest that quality improvement efforts to restructure resource use toward more cost-effective practice may not affect patient outcomes, although prospective monitoring of safety and effectiveness must be of the utmost concern.

Impact of insurance coverage on utilization of pre-exposure prophylaxis for HIV prevention.

Pre-exposure prophylaxis (PrEP) can reduce U.S. HIV incidence. We assessed insurance coverage and its association with PrEP utilization. We reviewed patient data at three PrEP clinics (Jackson, Mississippi; St. Louis, Missouri; Providence, Rhode Island) from 2014-2015. The outcome, PrEP utilization, was defined as patient PrEP use at three months. Multivariable logistic regression was performed to determine the association between insurance coverage and PrEP utilization. Of 201 patients (Jackson: 34%; St. Louis: 28%; Providence: 28%), 91% were male, 51% were White, median age was 29 years, and 21% were uninsured; 82% of patients reported taking PrEP at three months. Insurance coverage was significantly associated with PrEP utilization. After adjusting for Medicaid-expansion and individual socio-demographics, insured patients were four times as likely to use PrEP services compared to the uninsured (OR: 4.49, 95% CI: 1.68-12.01; p = 0.003). Disparities in insurance coverage are important considerations in implementation programs and may impede PrEP utilization.

Geriatric assessment factors are associated with mortality after hospitalization in older adults with cancer.

PURPOSE: Survival in older adults with cancer varies given differences in functional status, comorbidities, and nutrition. Prediction of factors associated with mortality, especially in hospitalized patients, allows physicians to better inform their patients about prognosis during treatment decisions. Our objective was to analyze factors associated with survival in older adults with cancer following hospitalization. METHODS: Through a retrospective cohort study, we reviewed 803 patients who were admitted to Barnes-Jewish Hospital's Oncology Acute Care of Elders (OACE) unit from 2000 to 2008. Data collected included geriatric assessments from OACE screening questionnaires as well as demographic and medical history data from chart review. The primary end point was time from index admission to death. The Cox proportional hazard modeling was performed. RESULTS: The median age was 72.5 years old. Geriatric syndromes and functional impairment were common. Half of the patients (50.4 %) were dependent in one or more activities of daily living (ADLs), and 74 % were dependent in at least one instrumental activity of daily living (IADLs). On multivariate analysis, the following factors were significantly associated with worse overall survival: male gender; a total score <20 on Lawton's IADL assessment; reason for admission being cardiac, pulmonary, neurologic, inadequate pain control, or failure to thrive; cancer type being thoracic, hepatobiliary, or genitourinary; readmission within 30 days; receiving cancer treatment with palliative rather than curative intent; cognitive impairment; and discharge with hospice services. CONCLUSIONS: In older adults with cancer, certain geriatric parameters are associated with shorter survival after hospitalization. Assessment of functional status, necessity for readmission, and cognitive impairment may provide prognostic information so that oncologists and their patients make more informed, individualized decisions.

A Randomized Trial Examining Three Strategies for Supporting Health Insurance Decisions among the Uninsured.

BACKGROUND: The Affordable Care Act allows uninsured individuals to select health insurance from numerous private plans, a challenging decision-making process. This study examined the effectiveness of strategies to support health insurance decisions among the uninsured. METHODS: Participants (N = 343) from urban, suburban, and rural areas were randomized to 1 of 3 conditions: 1) a plain language table; 2) a visual condition where participants chose what information to view and in what order; and 3) a narrative condition. We administered measures assessing knowledge (true/false responses about key features of health insurance), confidence in choices (uncertainty subscale of the Decisional Conflict Scale), satisfaction (items from the Health Information National Trends Survey), preferences for insurance features (measured on a Likert scale from not at all important to very important), and plan choice. RESULTS: Although we did not find significant differences in knowledge, confidence in choice, or satisfaction across condition, participants across conditions made value-consistent choices, selecting plans that aligned with their preferences for key insurance features. In addition, those with adequate health literacy skills as measured by the Rapid Estimate of Adult Literacy in Medicine-Short Form (REALM-SF) had higher knowledge overall ([Formula: see text] = 6.1 v. 4.8, P < 0.001) and preferred the plain language table to the visual (P = 0.04) and visual to narrative (P = 0.0002) conditions, while those with inadequate health literacy skills showed no preference for study condition. A similar pattern was seen for those with higher subjective numeracy skills and higher versus lower education with regard to health insurance knowledge. Individuals with higher income felt less confident in their choices ([Formula: see text] = 28.7 v. 10.0, where higher numbers indicate less confidence/more uncertainty; P = 0.004). CONCLUSIONS: Those developing materials about the health insurance marketplace to support health insurance decisions might consider starting with plain language tables, presenting health insurance terminology in context, and organizing information according to ways the uninsured might use and value insurance features. Individuals with limited health literacy and numeracy skills and those with lower education face unique challenges selecting health insurance and weighing tradeoffs between cost and coverage.

Geriatric assessment as predictors of hospital readmission in older adults with cancer.

BACKGROUND: Hospital readmission is a common, costly problem. Little is known regarding risk factors for readmission in older adults with cancer. This study aims to identify factors associated with 30-day readmission in a cohort of older medical oncology patients. SETTING/PARTICIPANTS: Adults age 65 and over hospitalized to an Oncology Acute Care for Elders Unit at Barnes-Jewish Hospital. MEASUREMENTS: Standard geriatric screening tests were administered in routine clinical care. Clinical data and 30-day readmission status were obtained through medical record review. RESULTS: 677 patients met the inclusion criteria. 77% were white and 53% were male. Thoracic (32%), hematologic (20%), and gastrointestinal (18%) malignancies were most common. The 30-day unplanned readmission rate was 35.2%. Multivariable analyses identified complete dependence in feeding (odds ratio [OR], 3.70; 95% confidence interval [CI], 1.29-10.65), and some dependence (1.58, 1.04-2.41) and complete dependence (2.64, 1.70-4.12) in housekeeping, prior to admission, as associated with higher odds of readmission. Age<75 (1.49, 1.04-2.14), African-American race (1.59, 1.06-2.39), potentially inappropriate medications (1.36, 0.94-1.99), and higher-risk reasons for index admission (1.93, 1.34-2.78) also increased odds of readmission. These factors were organized into a prognostic index. CONCLUSION: Hospital readmission was common and higher than previously reported rates in general medical populations. We identified several previously unrecognized factors associated with increased risk for readmission, including some geriatric assessment parameters, and developed a practical tool that can be used by clinicians to assess risk of 30-day readmission.

Complications and Resource Use Associated With Surgery for Chiari Malformation Type 1 in Adults: A Population Perspective.

BACKGROUND: Outcomes research on Chiari malformation type 1 (CM-1) is impeded by a reliance on small, single-center cohorts. OBJECTIVE: To study the complications and resource use associated with adult CM-1 surgery using administrative data. METHODS: We used a recently validated International Classification of Diseases, Ninth Revision, Clinical Modification code algorithm to retrospectively study adult CM-1 surgeries from 2004 to 2010 in California, Florida, and New York using State Inpatient Databases. Outcomes included complications and resource use within 30 and 90 days of treatment. We used multivariable logistic regression to identify risk factors for morbidity and negative binomial models to determine risk-adjusted costs. RESULTS: We identified 1947 CM-1 operations. Surgical complications were more common than medical complications at both 30 days (14.3% vs 4.4%) and 90 days (18.7% vs 5.0%) postoperatively. Certain comorbidities were associated with increased morbidity; for example, hydrocephalus increased the risk for surgical (odds ratio [OR] = 4.51) and medical (OR = 3.98) complications. Medical but not surgical complications were also more common in older patients (OR = 5.57 for oldest vs youngest age category) and male patients (OR = 3.19). Risk-adjusted hospital costs were $22530 at 30 days and $24852 at 90 days postoperatively. Risk-adjusted 90-day costs were more than twice as high for patients experiencing surgical ($46264) or medical ($65679) complications than for patients without complications ($18880). CONCLUSION: Complications after CM-1 surgery are common, and surgical complications are more frequent than medical complications. Certain comorbidities and demographic characteristics are associated with increased risk for complications. Beyond harming patients, complications are also associated with substantially higher hospital costs. These results may help guide patient management and inform decision making for patients considering surgery.

Socioeconomic status is independently associated with overall survival in patients with multiple myeloma.

Population-based studies suggest that black patients with multiple myeloma (MM) have a higher mortality rate than white patients. However, other studies suggest that this disparity is related to socioeconomic status (SES) rather than race. To provide clarity on this topic, we reviewed 562 patients diagnosed with MM at our institution. Patients with high SES had a median overall survival (OS) of 62.8 months (95% confidence interval [CI] 43.1-82.6 months), compared to 53.7 months (45.2-62.3 months) and 48.6 months (40.4-56.8 months) for middle and low SES, respectively (p = 0.015). After controlling for race, age, year of diagnosis, severity of comorbidities, stem cell transplant utilization and insurance provider, patients with low SES had a 54% increase in mortality rate relative to patients with high SES. To support our findings, we performed a similar analysis of 45,505 patients with MM from the Surveillance, Epidemiology and End Results-18 (SEER) database. Low SES is independently associated with poorer OS in MM.

Modifiable patient characteristics and racial disparities in evaluation completion and living donor transplant.

BACKGROUND AND OBJECTIVES: To reduce racial disparities in transplant, modifiable patient characteristics associated with completion of transplant evaluation and receipt of living donor kidney transplant must be identified. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: From 2004 to 2007, 695 black and white patients were surveyed about 15 less-modifiable and 10 more-modifiable characteristics at evaluation onset; whether they had completed evaluation within 1 year and received living donor kidney transplants by 2010 was determined. Logistic regression and competing risks time-to-event analysis were conducted to determine the variables that predicted evaluation completion and living donor kidney transplant receipt. RESULTS: Not adjusting for covariates, blacks were less likely than whites to complete evaluation (26.2% versus 51.8%, P<0.001) and receive living donor kidney transplants (8.7% versus 21.9%, P<0.001). More-modifiable variables associated with completing evaluation included more willing to be on the waiting list (odds ratio=3.4, 95% confidence interval=2.1, 5.7), more willing to pursue living donor kidney transplant (odds ratio=2.7, 95% confidence interval=1.8, 4.0), having access to more transplant education resources (odds ratio=2.2, 95% confidence interval=1.5, 3.2), and having greater transplant knowledge (odds ratio=1.8, 95% confidence interval=1.2, 2.7). Patients who started evaluation more willing to pursue living donor kidney transplant (hazard ratio=4.3, 95% confidence interval=2.7, 6.8) and having greater transplant knowledge (hazard ratio=1.2, 95% confidence interval=1.1, 1.3) were more likely to receive living donor kidney transplants. CONCLUSIONS: Because patients who began transplant evaluation with greater transplant knowledge and motivation were ultimately more successful at receiving transplants years later, behavioral and educational interventions may be very successful strategies to reduce or overcome racial disparities in transplant.