Cost-effectiveness of Choosing Wisely guidelines for axillary observation in women older than age 70 years with hormone receptor-positive, clinically node-negative, operable breast tumors.

BACKGROUND: The Society for Surgical Oncology's Choosing Wisely guidelines recommend against sentinel lymph node biopsy (SLNB) in favor of observation in this population. Recent analyses reveal that this has not been widely adopted. The purpose of this cost-effectiveness analysis is to compare the costs and benefits associated with observation or SLNB in women >70 years old with hormone receptor-positive, clinically node-negative, operable breast cancer. METHODS: A decision tree with Markov modeling was created to compare treatment strategies using long-term follow-up data from clinical trials in this population. Costs were estimated from published literature and publicly available databases. Breast cancer-specific health-state utilities were derived from the literature and expert opinion. One-way, 2-way, and probabilistic sensitivity analyses were conducted. A structural sensitivity analysis was performed to assess the effect of functional status and anxiety from nonevaluation of the axilla on cost-effectiveness. Costs and benefits, measured in life-years (LYs) and quality-adjusted life-years (QALYs), were tabulated across 10, 15, and 20 years and compared using incremental cost-effectiveness ratios (ICERs). RESULTS: SLNB is not cost-effective from the payer or societal perspectives with ICERs of $138,374/LY and $131,900/LY, respectively. When QALYs were considered, SLNB provided fewer QALYs (SLNB, 10.33 QALYs; observation, 10.53 QALYs) at a higher cost (SLNB, $15,845; observation, $4020). Structural sensitivity analysis revealed that SLNB was cost-effective in certain patients with significant anxiety related to axillary observation (ICER, $39,417/QALY). CONCLUSIONS: Routine SLNB in this population is not cost-effective. The cost-effectiveness of SLNB, however, is dependent on individual patient factors, including functional status as well as patient preference.

Lifestyle Habits Associated with Weight Regain After Intentional Loss in Primary Care Patients Participating in a Randomized Trial.

BACKGROUND: Though long-term weight loss maintenance is the treatment goal for obesity, weight regain is typical and few studies have evaluated lifestyle habits associated with weight regain. OBJECTIVE: To identify dietary and physical activity habits associated with 6- and 24-month weight regain among participants in a weight loss maintenance clinical trial. DESIGN: Secondary analysis of randomized clinical trial data. PARTICIPANTS: Adult primary care patients with recent, intentional weight loss of at least 5%. MAIN MEASURES: Lifestyle habits included consumption of low-fat foods, fish, desserts, sugary beverages, fruits, and vegetables and eating at restaurants from the Connor Diet Habit Survey; moderate-vigorous physical activity by self-report; steps recorded by a pedometer; and sedentary behavior by self-report. The outcome variable was weight change at 6 and 24 months. Linear regression models estimated adjusted associations between changes in weight and changes in dietary and physical activity habits. KEY RESULTS: Overall, participants (mean (SD): 53.4 (12.2) years old; 26% male; 88% white) maintained weight loss at 6 months (n = 178, mean (SD): - 0.02 (5.70)% change) but began to regain weight by 24 months (n = 157, mean (SD): 4.22 (9.15)% increase). When considered all together, more eating at restaurants, reduced fish consumption, and less physical activity were most consistently associated with weight regain in fully adjusted models at both 6 and 24 months of follow-up. In addition, more sedentary behavior was associated with weight regain at 6 months while reduced consumption of low-fat foods, and more desserts and sugary beverages were associated with weight regain at 24 months. CONCLUSIONS: Consuming less fish, fewer steps per day, and more frequent restaurant eating were most consistently associated with weight regain in primary care patients. Primary care providers may consider addressing specific lifestyle behaviors when counseling patients after successful weight loss. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01946191.

Effect of Electronic Health Record-Based Coaching on Weight Maintenance: A Randomized Trial.

Background: Weight regain after intentional loss is common. Most evidence-based weight management programs focus on short-term loss rather than long-term maintenance. Objective: To evaluate the benefit of coaching in an electronic health record (EHR)-based weight maintenance intervention. Design: Randomized controlled trial. (ClinicalTrials.gov: NCT01946191). Setting: Practices affiliated with an academic medical center. Participants: Adult outpatients with body mass index (BMI) of 25 kg/m2 or higher, intentional weight loss of at least 5% in the previous 2 years, and no bariatric procedures in the previous 5 years. Intervention: Participants were randomly assigned to EHR tools (tracking group) versus EHR tools plus coaching (coaching group). The EHR tools included weight, diet, and physical activity tracking flow sheets; standardized surveys; and reminders. The coaching group received 24 months of personalized coaching through the EHR patient portal, with 24 scheduled contacts. Measurements: The primary outcome was weight change at 24 months. Secondary outcomes included 5% weight loss maintenance and changes in BMI, waist circumference, number of steps per day, health-related quality of life, physical function, blood pressure, and satisfaction. Results: Among 194 randomly assigned participants (mean age, 53.4 years [SD, 12.2]; 143 [74%] women; 171 [88%] white), 157 (81%) completed the trial. Mean baseline weight and BMI were 85.8 kg (SD, 19.1) and 30.4 kg/m2 (SD, 5.9). At 24 months, mean weight regain (± SE) was 2.1 ± 0.62 kg and 4.9 ± 0.63 kg in the coaching and tracking groups, respectively. The between-group difference in weight change at 24 months was significant (-2.86 kg [95% CI, -4.60 to -1.11 kg]) in the linear mixed model. At 24 months, 65% of participants in the coaching group and 50% in the tracking group maintained weight loss of at least 5%. Limitation: Single-site trial, which limits generalizability. Conclusion: Among adults with intentional weight loss of at least 5%, use of EHR tools plus coaching resulted in less weight regain than EHR tools alone. Primary Funding Source: Agency for Healthcare Research and Quality and National Institutes of Health.

Cost-effectiveness analysis of biopsy strategies for endometrial cancer diagnosis in women with postmenopausal bleeding: Pipelle sampling curette versus dilatation & curettage.

BACKGROUND: Endometrial sampling is widely used for accurate diagnosis of endometrial cancer (EC), which is the most common gynecologic cancer in US women. The objective of this study was to explore the cost-effectiveness of two endometrial sampling procedures for diagnosing EC: (1) Pipelle endometrial sampling (Pipelle), and (2) dilatation & curettage (D&C), while accounting for sampling procedure failure rates and diagnostic accuracy in women with postmenopausal bleeding (PMB). METHOD: The decision analytic model was built to compare the cost-effectiveness of Pipelle and D&C strategies in a hypothetical cohort of PMB women. The analysis was performed from the perspective of a public healthcare payer (Medicare, US). We used 2017 Medicare reimbursement data for cost estimation. The effectiveness of these two diagnostic strategies was measured by analyzing the remaining life expectancy after EC diagnosis and subsequent treatment. RESULTS: The base case analysis suggested that Pipelle was not only equally effective (32.11 vs. 32.11 years of life), but also less costly ($1897.80 vs. $2999.11) based on Medicare reimbursement when compared to D&C. In one-way sensitivity analyses and Monte Carlo probabilistic sensitivity analysis, the Pipelle remained the more cost-effective sampling strategy even after accounting for sampling failure rate associated with each sampling strategy. CONCLUSION: The Pipelle is the more cost-effective sampling strategy compared to D&C for EC diagnosis in women with PMB. From the cost-effectiveness perspective, the higher sampling failure rate of Pipelle should not be regarded as a limitation in its clinical application.

Cost-effectiveness of new antiviral regimens for treatment-naïve U.S. veterans with hepatitis C.

UNLABELLED: Recently approved, interferon-free medication regimens for treating hepatitis C are highly effective, but extremely costly. We aimed to identify cost-effective strategies for managing treatment-naïve U.S. veterans with new hepatitis C medication regimens. We developed a Markov model with 1-year cycle length for a cohort of 60-year-old veterans with untreated genotype 1 hepatitis C seeking treatment in a typical year. We compared using sofosbuvir/ledipasvir or ombitasvir/ritonavir/paritaprevir/dasabuvir to treat: (1) any patient seeking treatment; (2) only patients with advanced fibrosis or cirrhosis; or (3) patients with advanced disease first and healthier patients 1 year later. The previous standard of care, sofosbuvir/simeprevir or sofosbuvir/pegylated interferon/ribavirin, was included for comparison. Patients could develop progressive fibrosis, cirrhosis, or hepatocellular carcinoma, undergo transplantation, or die. Complications were less likely after sustained virological response. We calculated the incremental cost per quality-adjusted life year (QALY) and varied model inputs in one-way and probabilistic sensitivity analyses. We used the Veterans Health Administration perspective with a lifetime time horizon and 3% annual discounting. Treating any patient with ombitasvir-based therapy was the preferred strategy ($35,560; 14.0 QALYs). All other strategies were dominated (greater costs/QALY gained than more effective strategies). Varying treatment efficacy, price, and/or duration changed the preferred strategy. In probabilistic sensitivity analysis, treating any patient with ombitasvir-based therapy was cost-effective in 70% of iterations at a $50,000/QALY threshold and 65% of iterations at a $100,000/QALY threshold. CONCLUSION: Managing any treatment-naïve genotype 1 hepatitis C patient with ombitasvir-based therapy is the most economically efficient strategy, although price and efficacy can impact cost-effectiveness. It is economically unfavorable to restrict treatment to patients with advanced disease or use a staged treatment strategy. (Hepatology 2016;63:428-436).

Differences in Physician Referral Drive Disparities in Surgical Intervention for Hepatocellular Carcinoma: A Retrospective Cohort Study.

OBJECTIVE: To determine whether sociodemographic and geographic factors are associated with referral for surgery and receipt of recommended surgical intervention. BACKGROUND: Surgical interventions confer survival advantages compared with palliative therapies for hepatocellular carcinoma (HCC), but disparities exist in use of surgical intervention. Few have investigated referral for surgery as a potential barrier to surgical intervention, and little is known about the effects of patient geographic factors, including proximity to surgical centers. METHODS: Data were abstracted from the Pennsylvania Cancer Registry for patients with a diagnosis of HCC from 2006 to 2011. Using hospital procedure volume data from the Pennsylvania Health Care Cost Containment Council, we calculated proximity to a surgical center. We used multivariable logistic regression to determine whether geographic, racial, socioeconomic, and clinical factors were associated with referral for surgery and receipt of a recommended surgical intervention. RESULTS: Of 3576 patients with HCC, 41.0% were referred for surgery. Patients who lived closer to a surgical center were less likely to be referred for surgery (adjusted odds ratio = 0.79; 95% confidence interval, 0.68-0.92). Surgical referral was less likely among older, male patients with Medicaid insurance and advanced tumor stage at diagnosis. Of those referred, 1276 (87.0%) underwent surgical intervention. Proximity to a surgical center was not associated with receipt of surgical intervention (P = 0.27). Patients with distant tumor stage at diagnosis were less likely to receive recommended surgical intervention (adjusted odds ratio = 0.27; 95% confidence interval, 0.15-0.50). CONCLUSIONS: Geographic and sociodemographic disparities in referral for surgery may be major barriers to surgical intervention for patients with HCC.

Cost effectiveness of an internet-delivered lifestyle intervention in primary care patients with high cardiovascular risk.

OBJECTIVE: To assess the cost-effectiveness of an online adaptation of the diabetes prevention program (ODPP) lifestyle intervention. METHODS: ODPP was a before-after evaluation of a weight loss intervention comprising 16 weekly and 8 monthly lessons, incorporating behavioral tools and regular, brief, web-based individualized counseling in an overweight/obese cohort (mean age 52, 76% female, 92% white, 28% with diabetes). A Markov model was developed to estimate ODPP cost effectiveness compared with usual care (UC) to reduce metabolic risk over 10years. Intervention costs and weight change outcomes were obtained from the study; other model parameters were based on published reports. In the model, diabetes risk was a function of weight change with and without the intervention. RESULTS: Compared to UC, the ODPP in our cohort cost $14,351 and $29,331 per quality-adjusted life-year (QALY) gained from the health care system and societal perspectives, respectively. In a hypothetical cohort without diabetes, the ODPP cost $7777 and $18,263 per QALY gained, respectively. Results were robust in sensitivity analyses, but enrolling cohorts with lower annual risk of developing diabetes (≤1.8%), enrolling fewer participants (≤15), or increasing the hourly cost (≥$91.20) or annual per-participant time (≥1.45h) required for technical support could increase ODPP cost to >$20,000 per QALY gained. In probabilistic sensitivity analyses, ODPP was cost-effective in 20-58% of model iterations using an acceptability threshold of $20,000, 73-92% at $50,000, and 95-99% at $100,000 per QALY gained. CONCLUSIONS: The ODPP may offer an economical approach to combating overweight and obesity.

Economic and Public Health Impacts of Policies Restricting Access to Hepatitis C Treatment for Medicaid Patients.

BACKGROUND: Interferon-free hepatitis C treatment regimens are effective but very costly. The cost-effectiveness, budget, and public health impacts of current Medicaid treatment policies restricting treatment to patients with advanced disease remain unknown. OBJECTIVES: To evaluate the cost-effectiveness of current Medicaid policies restricting hepatitis C treatment to patients with advanced disease compared with a strategy providing unrestricted access to hepatitis C treatment, assess the budget and public health impact of each strategy, and estimate the feasibility and long-term effects of increased access to treatment for patients with hepatitis C. METHODS: Using a Markov model, we compared two strategies for 45- to 55-year-old Medicaid beneficiaries: 1) Current Practice-only advanced disease is treated before Medicare eligibility and 2) Full Access-both early-stage and advanced disease are treated before Medicare eligibility. Patients could develop progressive fibrosis, cirrhosis, or hepatocellular carcinoma, undergo transplantation, or die each year. Morbidity was reduced after successful treatment. We calculated the incremental cost-effectiveness ratio and compared the costs and public health effects of each strategy from the perspective of Medicare alone as well as the Centers for Medicare & Medicaid Services perspective. We varied model inputs in one-way and probabilistic sensitivity analyses. RESULTS: Full Access was less costly and more effective than Current Practice for all cohorts and perspectives, with differences in cost ranging from $5,369 to $11,960 and in effectiveness from 0.82 to 3.01 quality-adjusted life-years. In a probabilistic sensitivity analysis, Full Access was cost saving in 93% of model iterations. Compared with Current Practice, Full Access averted 5,994 hepatocellular carcinoma cases and 121 liver transplants per 100,000 patients. CONCLUSIONS: Current Medicaid policies restricting hepatitis C treatment to patients with advanced disease are more costly and less effective than unrestricted, full-access strategies. Collaboration between state and federal payers may be needed to realize the full public health impact of recent innovations in hepatitis C treatment.

Multiple listing for pediatric heart transplantation in the U.S.A.: analysis of OPTN registry data from 1995 through 2009.

Multiple listing is associated with shorter waitlist durations and increased likelihood of transplantation for renal candidates. Little is known about multiple listing in pediatric heart transplantation. We examined the prevalence and outcomes of multiple listing using OPTN data from 1995 through 2009. Characteristics and waitlist outcomes of propensity-score-matched single- and multiple-listed patients were compared. Multiple listing occurred in 23 of 6290 listings (0.4%). Median days between listings was 35 (0-1015) and median duration of multiple listings was 32 days (3-363). Among multiple-listed patients, there were trends toward less ECMO use (0% vs. 11%, p = 0.1) and more frequent requirement for a prospective cross-match (17% vs. 8%, p = 0.08). Multiple-listed patients more commonly had private insurance (78% vs. 56%; p = 0.03). Urgency status at listing was similar between groups (1/1A: 61% vs. 64%, 1B/2: 39 vs. 36%; p = 0.45) as were weight, age, diagnosis, ventilator/inotrope use, and median income (each p ≥ 0.17). There was a trend toward increased incidence of heart transplantation for multiple-listed patients at three, six, and 24 months (50%, 65%, 80%) vs. single-listed patients (40%, 54%, 64%; p = 0.11). Multiple listing for pediatric heart transplantation in the USA occurs infrequently and is more common in patients with private insurance.

Impact of electronic health record-coaching features in weight change: A secondary analysis from the MAINTAIN-pc randomized trial.

OBJECTIVE: This study aimed to evaluate whether coaching features were successfully transmitted via electronic health record (EHR) communication and to evaluate their relationship with weight change in a previously tested EHR-based coaching intervention. METHODS: A secondary analysis from the Maintaining Activity and Nutrition through Technology-Assisted Innovation in Primary Care (MAINTAIN-pc) study randomized clinical trial was conducted in nine primary care practices and one specialty practice (endocrinology) affiliated with the University of Pittsburgh Medical Center. Eligibility included age 18 to 75 years, intentional 5% weight loss in the previous 2 years, access to an internet-connected computer, and receipt of care from a University of Pittsburgh Medical Center primary care provider. Survey data were collected during the randomized clinical trial. RESULTS: Participants content with intervention delivery via the EHR and those who felt a strong connection to their coach had significantly less weight regain (p = 0.013 and p < 0.01, respectively). Participants who had needs unmet by the intervention (e.g., "in-person" support in a group setting or individual settings) regained more weight (p < 0.01). CONCLUSIONS: The data suggest heterogeneity in the patient population regarding preference for in-person versus EHR-based coaching formats. Such heterogeneity might result in the differential success of EHR-based interventions.

Intensive behavioral Therapy for weight loss in patients with, or At-Risk of, type 2 Diabetes: Results from the PaTH to health diabetes study.

Intensive behavioral therapy (IBT) is an important component of obesity treatment and can reduce the risk of type 2 diabetes (T2DM). Objective was to compare the effectiveness of IBT to usual care in achieving weight loss in two study cohorts within PaTH Network: T2DM and At-Risk of T2DM. The TD2M cohort was defined as age 18 years and older with an indication of T2DM in the EHR based on a validated algorithm and at least 2 outpatient primary care visits. The At-Risk of T2DM cohort was defined by a BMI ≥ 25 kg/m2. The primary outcome was weight change within 1-year of index date. Mixed-effects models assessed the effectiveness of IBT by comparing the changes between study groups. Between 2009 and 2020, a total of 567,908 patients were identified in the T2DM cohort and2,054,256 patients in the At-Risk of T2DM cohort. Both IBT patients and matched non-IBT patients in the T2DM cohort had decreased mean weight (primary outcome) (-1.56 lbs, 95 %CI: -1.88, -1.24 vs -1.70 lbs, 95 %CI: -1.95, -1.44) in 1-year after index date. In the At-Risk of T2DM cohort, both IBT and non-IBT patients experienced weight gain and resultant increased BMI. Patients with more than one IBT visit gained less weight than those with only one visit (1.22 lbs, 95 %CI: 0.82, 1.62 vs 6.72 lbs, 95 %CI: 6.48, 6.97; p < 0.001). IBT was unlikely to result in clinically significant weight loss. Barriers to utilizing IBT require further research to ensure broader adoption of obesity management in primary care.

The impact of menopause on health-related quality of life: results from the STRIDE longitudinal study.

PURPOSE: We examine the impact of menopausal status, beyond menopausal symptoms, on health-related quality of life (HRQoL). METHODS: Seven hundred thirty-two women aged 40-65, regardless of health condition or menopausal status, were enrolled from single general internal medicine practice. Women completed annual questionnaires including HRQoL, and menopausal status and symptoms. RESULTS: The physical health composite of the RAND-36 is lower in late peri (45.6, P < .05), early post (45.4, P < .05), and late postmenopausal women (44.6, P < .01), and those who report a hysterectomy (44.2, P < .01) compared to premenopausal women (47.1), with effect sizes of Cohen's d = .12-.23. The mental health composite of the RAND-36 is lower in late peri (44.7, P < .01), early post (44.9, P < .01), and late postmenopausal women (45.0, P < .05) and those who report a hysterectomy (44.2, P < .01) compared to premenopausal women (46.8), with effect sizes of Cohen's d = .15-.20. Findings are comparable adjusted for menopausal symptom frequency and bother. CONCLUSIONS: Over a 5-year follow-up period, we found a negative impact of menopause on some domains of HRQoL, regardless of menopausal symptoms. Clinicians should be aware of this relationship and work to improve HRQoL, rather than expect it to improve spontaneously when menopausal symptoms resolve.

Protocol for the AKT-MP trial: Access to Kidney Transplantation in Minority Populations.

Background: Kidney transplant (KT) is the optimal treatment for kidney failure (KF), and although completion of KT evaluation is an essential step in gaining access to transplantation, the process is lengthy, time consuming, and burdensome. Furthermore, despite similar referral rates to non-Hispanic Whites, both Hispanic/Latinos and American Indians are less likely to be wait-listed or to undergo KT. Methods: The Access to Kidney Transplantation in Minority Populations (AKT-MP) Trial compares two patient-centered methods to facilitate KT evaluation: kidney transplant fast track (KTFT), a streamlined KT evaluation process; and peer navigators (PN), a peer-assisted evaluation program that incorporates motivational interviewing. This pragmatic randomized trial will use a comparative effectiveness approach to assess whether KTFT or PN can help patients overcome barriers to transplant listing. We will randomly assign patients to the two conditions. We will track participants' medical records and conduct surveys prior to their initial evaluation clinic visit and again after they complete or discontinue evaluation. Conclusion: Our aims are to (1) compare KTFT and PN to assess improvements in kidney transplant (KT) related outcomes and cost effectiveness; (2) examine how each approach effects changes in cultural/contextual factors, KT concerns, KT knowledge, and KT ambivalence; and (3) develop a framework for widespread implementation of either approach. The results of this trial will provide key information for facilitating the evaluation process, improving patient care, and decreasing disparities in KT.

Hospitalization and mortality in patients with COVID-19 with or at risk of type 2 diabetes: data from five health systems in Pennsylvania and Maryland.

OBJECTIVE: To identify the demographic and clinical characteristics associated with adverse COVID-19 outcomes across a 12-month period in 2020 and 2021. RESEARCH DESIGN AND METHODS: We conducted a retrospective cohort study using electronic health records from five academic health systems in Pennsylvania and Maryland, including patients with COVID-19 with type 2 diabetes or at risk of type 2 diabetes. Patients were classified based on 30-day outcomes: (1) no hospitalization; (2) hospitalization only; or (3) a composite measure including admission to the intensive care unit (ICU), intubation, or death. Analyses were conducted in patients with type 2 diabetes and patients at risk of type 2 diabetes separately. RESULTS: We included 15 725 patients with COVID-19 diagnoses between March 2020 and February 2021. Older age and higher Charlson Comorbidity Index scores were associated with higher odds of adverse outcomes, while COVID-19 diagnoses later in the study period were associated with lower odds of severe outcomes. In patients with type 2 diabetes, individuals on insulin treatment had higher odds for ICU/intubation/death (OR=1.59, 95% CI 1.27 to 1.99), whereas those on metformin had lower odds (OR=0.56, 95% CI 0.45 to 0.71). Compared with non-Hispanic White patients, Hispanic patients had higher odds of hospitalization in patients with type 2 diabetes (OR=1.73, 95% CI 1.36 to 2.19) or at risk of type 2 diabetes (OR=1.77, 95% CI 1.43 to 2.18.) CONCLUSIONS: Adults who were older, in racial minority groups, had multiple chronic conditions or were on insulin treatment had higher risks for severe COVID-19 outcomes. This study reinforced the urgency of preventing COVID-19 and its complications in vulnerable populations. TRIAL REGISTRATION NUMBER: NCT02788903.

A randomized trial of the effect of patient race on physicians' intensive care unit and life-sustaining treatment decisions for an acutely unstable elder with end-stage cancer.

OBJECTIVES: To test whether hospital-based physicians made different intensive care unit and life-sustaining treatment decisions for otherwise identical black and white patients with end-stage cancer and life-threatening hypoxia. DESIGN: We conducted a randomized trial of the relationship between patient race and physician treatment decisions using high-fidelity simulation. We counterbalanced the effects of race and case by randomly alternating their order using a table of random permutations. Physicians completed two simulation encounters with black and white patient simulator patients with prognostically identical end-stage gastric or pancreatic cancer and life-threatening hypoxia and hypotension, followed by a self-administered survey of beliefs regarding treatment preferences by race. We conducted within-subjects analysis of each physician's matched-pair simulation encounters, adjusting for order and case effects, and between-subjects analysis of physicians' first encounter, adjusting for case. SETTING: Peter M. Winter Institute for Simulation Education and Research at the University of Pittsburgh, Pennsylvania. SUBJECTS: Thirty-three hospital-based attending physicians, including 12 emergency physicians, eight hospitalists, and 13 intensivists from Allegheny County, Pennsylvania. INTERVENTION: Race of patient simulator. MEASUREMENTS AND MAIN RESULTS: Measurements included physician treatment decisions recorded during the simulation and documented in the chart and beliefs about treatment preference by race. When faced with a black vs. a white patient, physicians did not differ in their elicitation of intubation preferences (within-subject comparison, 28/32 [88%] vs. 28/32 [88%]; p = .589; between-subject comparison, 13/17 [87%] vs. 13/17 [76%]; p = .460), intensive care unit admission (within-subject comparison, 14/32 [44%] vs. 12/32 [38%]; p = .481; between-subject comparison, 8/15 (53%) vs. 7/17 (41%); p = .456), intubation (within-subject comparison, 5/32 [16%] vs. 4/32 [13%]; p = .567; between-subject comparison: 1/15 [7%] vs. 4/17 [24%]; p = .215), or initiation of comfort measures only (within-subject comparison: 16/32 [50%] vs. 19/32 [59%]; p = .681; between-subject comparison: 6/15 [40%] vs. 8/17 [47%]; p = .679). Physicians believed that a black patient with end-stage cancer was more likely than a similar white patient to prefer potentially life-prolonging chemotherapy over treatment focused on palliation (67% vs. 64%; z = -1.79; p = .07) and to want mechanical ventilation for 1 wk of life extension (43% vs. 34%; z = -2.93; p = .003), and less likely to want a do-not-resuscitate order if hospitalized (51% vs. 60%; z = 3.03; p = .003). CONCLUSIONS: In this exploratory study, hospital-based physicians did not make different treatment decisions for otherwise identical terminally ill black and white elders despite believing that black patients are more likely to prefer intensive life-sustaining treatment, and they grossly overestimated the preference for intensive treatment for both races.

Hospital utilization for hypoglycemia among patients with type 2 diabetes using pooled data from six health systems.

INTRODUCTION: Hypoglycemia is the most common serious adverse effect of diabetes treatment and a major cause of medication-related hospitalization. This study aimed to identify trends and predictors of hospital utilization for hypoglycemia among patients with type 2 diabetes using electronic health record data pooled from six academic health systems. RESEARCH DESIGN AND METHODS: This retrospective open cohort study included 549 041 adults with type 2 diabetes receiving regular care from the included health systems between 2009 and 2019. The primary outcome was the yearly event rate for hypoglycemia hospital utilization: emergency department visits, observation visits, or inpatient admissions for hypoglycemia identified using a validated International Classification of Diseases Ninth Revision (ICD-9) algorithm from 2009 to 2014. After the transition to ICD-10 in 2015, we used two ICD-10 code sets (limited and expanded) for hypoglycemia hospital utilization from prior studies. We identified independent predictors of hypoglycemia hospital utilization using multivariable logistic regression analysis with data from 2014. RESULTS: Yearly rates of hypoglycemia hospital utilization decreased from 2.7 to 1.6 events per 1000 patients from 2009 to 2014 (p-trend=0.023). From 2016 to 2019, yearly event rates were stable ranging from 5.6 to 6.6, or 6.3 to 7.3, using the limited and expanded ICD-10 code sets, respectively. In 2014, the strongest independent risk factors for hypoglycemia hospital utilization were chronic kidney disease (OR 2.86, 95% CI 2.33 to 3.57), ages 18-39 years (OR 2.43 vs age 40-64 years, 95% CI 1.78 to 3.31), and insulin use (OR 2.13 vs no diabetes medications, 95% CI 1.67 to 2.73). CONCLUSIONS: Rates of hypoglycemia hospital utilization decreased from 2009 to 2014 and varied considerably by clinical risk factors such that younger adults, insulin users, and those with chronic kidney disease were at especially high risk. There is a need to validate hypoglycemia ascertainment using ICD-10 codes, which detect a substantially higher number of events compared with ICD-9.

Cost-effectiveness analysis of efforts to reduce risk of type 2 diabetes and cardiovascular disease in southwestern Pennsylvania, 2005-2007.

INTRODUCTION: We assessed the cost-effectiveness of a community-based, modified Diabetes Prevention Program (DPP) designed to reduce risk factors for type 2 diabetes and cardiovascular disease. METHODS: We developed a Markov decision model to compare costs and effectiveness of a modified DPP intervention with usual care during a 3-year period. Input parameters included costs and outcomes from 2 projects that implemented a community-based modified DPP for participants with metabolic syndrome, and from other sources. The model discounted future costs and benefits by 3% annually. RESULTS: At 12 months, usual care reduced relative risk of metabolic syndrome by 12.1%. A modified DPP intervention reduced relative risk by 16.2% and yielded life expectancy gains of 0.01 quality-adjusted life-years (3.67 days) at an incremental cost of $34.50 ($3,420 per quality-adjusted life-year gained). In 1-way sensitivity analyses, results were sensitive to probabilities that risk factors would be reduced with or without a modified DPP and that patients would enroll in an intervention, undergo testing, and acquire diabetes with or without an intervention if they were risk-factor-positive. Results were also sensitive to utilities for risk-factor-positive patients. In probabilistic sensitivity analysis, the intervention cost less than $20,000 per quality-adjusted life-year gained in approximately 78% of model iterations. CONCLUSION: We consider the modified DPP delivered in community and primary care settings a sound investment.

PaTH to partnership in stakeholder-engaged research: A framework for stakeholder engagement in the PaTH to Health Diabetes study.

Engaging a diverse stakeholder group, including patients, clinicians, policy makers, and leadership from national professional organizations as partners in research supports the pursuit of patient-centered outcomes. Utilizing the Patient-Centered Outcomes Research (PCOR) Engagement Principles and applying adult learning theories to training opportunities can enhance stakeholder-investigator collaborations. Regularly scheduled study meetings with stakeholders can help streamline communication, offer a platform for stakeholder voices to be shared, and increase study productivity. Ongoing engagement evaluations provide an important opportunity to assess engagement activities and improve processes moving forward. Benefits of a robust patient partner and stakeholder body extend beyond the study's objectives and translate into the creation of larger networks where resources are shared and patient-centeredness is enhanced.

Effect of Default Options in Advance Directives on Hospital-Free Days and Care Choices Among Seriously Ill Patients: A Randomized Clinical Trial.

Importance: There is limited evidence regarding how patients make choices in advance directives (ADs) or whether these choices influence subsequent care. Objective: To examine whether default options in ADs influence care choices and clinical outcomes. Design, Setting, and Participants: This randomized clinical trial included 515 patients who met criteria for having serious illness and agreed to participate. Patients were enrolled at 20 outpatient clinics affiliated with the University of Pennsylvania Health System and the University of Pittsburgh Medical Center from February 2014 to April 2016 and had a median follow-up of 18 months. Data analysis was conducted from November 2018 to April 2019. Interventions: Patients were randomly assigned to complete 1 of the 3 following ADs: (1) a comfort-promoting plan of care and nonreceipt of potentially life-sustaining therapies were selected by default (comfort AD), (2) a life-extending plan of care and receipt of potentially life-sustaining therapies were selected by default (life-extending AD), or (3) no choices were preselected (standard AD). Main Outcomes and Measures: This trial was powered to rule out a reduction in hospital-free days in the intervention groups. Secondary outcomes included choices in ADs for an overall comfort-oriented approach to care, choices to forgo 4 forms of life support, patients' quality of life, decision conflict, place of death, admissions to hospitals and intensive care units, and costs of inpatient care. Results: Among 515 patients randomized, 10 withdrew consent and 13 were later found to be ineligible, leaving 492 (95.5%) in the modified intention-to-treat (mITT) sample (median [interquartile range] age, 63 [56-70] years; 279 [56.7%] men; 122 [24.8%] black; 363 [73.8%] with cancer). Of these, 264 (53.7%) returned legally valid ADs and were debriefed about their assigned intervention. Among these, patients completing comfort ADs were more likely to choose comfort care (54 of 85 [63.5%]) than those returning standard ADs (45 of 91 [49.5%]) or life-extending ADs (33 of 88 [37.5%]) (P = .001). Among 492 patients in the mITT sample, 57 of 168 patients [33.9%] who completed the comfort AD, 47 of 165 patients [28.5%] who completed the standard AD, and 35 of 159 patients [22.0%] who completed the life-extending AD chose comfort care (P = .02), with patients not returning ADs coded as not selecting comfort care. In mITT analyses, median (interquartile range) hospital-free days among 168 patients assigned to comfort ADs and 159 patients assigned to life-extending default ADs were each noninferior to those among 165 patients assigned to standard ADs (standard AD: 486 [306-717] days; comfort AD: 554 [296-833] days; rate ratio, 1.05; 95% CI, 0.90-1.23; P < .001; life-extending AD: 550 [325-783] days; rate ratio, 1.03; 95% CI, 0.88-1.20; P < .001). There were no differences among groups in other secondary outcomes. Conclusions and Relevance: In this randomized clinical trial, default options in ADs altered the choices seriously ill patients made regarding their future care without changing clinical outcomes. Trial Registration: ClinicalTrials.gov Identifier: NCT02017548.

Association of lifestyle and relationship factors with sexual functioning of women during midlife.

INTRODUCTION: As women progress through menopause, they experience changes in sexual functioning that are multifactorial, likely encompassing biological, psychological, and social domains. AIM: To examine the effects that physical activity, sleep difficulties, and social support have on partnered sexual activity and sexual functioning in women at different stages of the menopausal progression. METHODS: As part of an ongoing 5-year longitudinal study, we conducted a cross-sectional analysis of sexual functioning data. MAIN OUTCOME MEASURES: Participation in partnered sexual activities, reasons for nonparticipation in such activities among sexually inactive women, and, among sexually active women, sexual functioning defined as engagement in and enjoyment of sexually intimate activities. RESULTS: Of 677 participants aged 41-68, 68% had participated in any partnered sexual activities (i.e., were sexually active) during the past 6 months. Reasons for sexual inactivity included lack of a partner (70%), lack of interest in sex (12%) or in the current partner (5%), and physical problems (4%). Sexually active participants tended to be younger, married, more educated, have more social support in general, fewer comorbid medical illnesses, a lower body mass index, and a higher prevalence of vaginal dryness. Among the sexually active participants, their scores for engagement in activities ranging from kissing to sexual intercourse were higher if they were physically active, had more social support, and lacked sleeping difficulties. Likewise, scores for sexual enjoyment were higher if they were physically active, had more social support, and lacked vaginal dryness. Engagement and enjoyment scores were not associated with marital status or other factors. CONCLUSIONS: In midlife women, having social support and being physically active are associated with enhanced sexual engagement and enjoyment.