Trends and Race/Ethnic Disparities in Diabetes-Related Hospital Use in Medicaid Enrollees: Analyses of Serial Cross-sectional State Data, 2008-2017.

BACKGROUND: Race/ethnic disparities in preventable diabetes-specific hospital care may exist among adults with diabetes who have Medicaid coverage. OBJECTIVE: To examine race/ethnic disparities in utilization of preventable hospital care by adult Medicaid enrollees with diabetes across nine states over time. DESIGN: Using serial cross-sectional state discharge records for emergency department (ED) visits and inpatient (IP) hospitalizations from the Healthcare Cost and Utilization Project, we quantified race/ethnicity-specific, state-year preventable diabetes-specific hospital utilization. PARTICIPANTS: Non-Hispanic Black, non-Hispanic White, and Hispanic adult Medicaid enrollees aged 18-64 with a diabetes diagnosis (excluding gestational or secondary diabetes) who were discharged from hospital care in Arizona, Iowa, Kentucky, Florida, Maryland, New Jersey, New York, North Carolina, and Utah for the years 2008, 2011, 2014, and 2017. MAIN MEASURES: Non-Hispanic Black-over-White and Hispanic-over-White rate ratios constructed using age- standardized state-year, race/ethnicity-specific ED, and IP diabetes-specific utilization rates. KEY RESULTS: The ratio of Black-over-White ED utilization rates for preventable diabetes-specific hospital care increased across the 9 states in our sample from 1.4 (CI 95, 1.31-1.50) in 2008 to 1.73 (CI 95, 1.68-1.78) in 2017. The cross-year-state average non-Hispanic Black-over-White IP rate ratio was 1.46 (CI 95, 1.42-1.50), reflecting increases in some states and decreases in others. The across-state-year average Hispanic-over-White rate ratio for ED utilization was 0.67 (CI 95, 0.63-0.71). The across-state-year average Hispanic-over-White IP hospitalization rate ratio was 0.72 (CI 95, 0.69-0.75). CONCLUSIONS: Hospital utilization by non-Hispanic Black Medicaid enrollees with diabetes was consistently greater and often increased relative to utilization by White enrollees within state programs between 2008 and 2017. Hispanic enrollee hospital utilization was either lower or indistinguishable relative to White enrollee hospital utilization in most states, but Hispanic utilization increased faster than White utilization in some states. Among broader patterns, there is heterogeneity in the magnitude of race/ethnic disparities in hospital utilization trends across states.

Discrepancies between Perceived and Physiological Fall Risks and Repeated Falls among Community-Dwelling Medicare Beneficiaries Aged 65 Years and Older.

OBJECTIVES: This study examined the associations of discrepancies between perceived and physiological fall risks with repeated falls. METHODS: We analyzed the 2016 Medicare Current Beneficiary Survey of 2,487 Medicare beneficiaries aged ≥ 65 years with ≥ 1 fall. The outcome variable was repeated falls (≥ 2 falls), the key independent variable was a categorical variable of discrepancies between perceived (fear of falling) and physiological fall risks (physiological limitations), assessed using multivariate logistic regression. RESULTS: Among Medicare beneficiaries with ≥ 1 fall, 25.1% had low fear of falling but high physiological fall risk (Low Fear-High Physiological), 9.4% had high fear of falling but low physiological fall risk (High Fear-Low Physiological), 23.5% had low fear of falling and low physiological fall risks (Low Fear-Low Physiological), and 42.0% had high fear of falling and high physiological fall risks (High Fear-High Physiological). Having High Fear-High Physiological was associated with repeated falls (OR = 2.14; p < .001) compared to Low Fear-Low Physiological. Having Low Fear-High Physiological and High Fear-LowPhysiological were not associated with repeated falls. CONCLUSIONS: Given that High Fear-High Physiological was associated with repeated falls and that many at-risk Medicare beneficiaries had High Fear-High Physiological, prevention efforts may consider targeting those most at-risk including Medicare beneficiaries with High Fear-High Physiological. CLINICAL IMPLICATIONS: Assessing both perceived and physiological fall risks is clinically relevant, given it may inform targeted interventions for different at-risk Medicare beneficiaries among clinicians and other stakeholders.

Factors Associated with Mental Health of Medicare Beneficiaries During the COVID-19 Pandemic.

OBJECTIVES: This study examined factors associated with the mental health of Medicare beneficiaries during the COVID-19 pandemic. METHODS: The Medicare Current Beneficiary Survey COVID-19 Supplement administered in the Fall of 2020 of beneficiaries aged ≥65 years was analyzed (n = 6,173). A survey-weighted logistic model, adjusted for socio-demographics and comorbidities, was performed to examine factors (e.g., accessibility of medical/daily needs, financial security, and social connectivity) associated with stress/anxiety. RESULTS: Of Medicare beneficiaries, 40.8% reported feeling more stressed/anxious during the pandemic. Factors that were associated with this increased stress/anxiety include the inability to get home supplies (95% CI [3.4%, 16.5%]) or a doctor's appointment (95% CI [1.7%, 20.7%]), feeling less financially secure (95% CI [23.1%, 33.2%]) or socially connected (95% CI [19.1%, 25.6%]), and being female (95% CI [7.2%, 12.2%]), when compared with their respective counterparts. Non-Hispanic blacks were less likely to report feeling more stressed/anxious than non-Hispanic whites (95% CI [-19.9%, -9.0%]). CONCLUSIONS: Our findings highlight that beneficiaries' mental health was adversely influenced by the pandemic, particularly in those who felt financially insecure and socially disconnected. CLINICAL IMPLICATIONS: It is warranted to screen at risk beneficiaries for stress/anxiety during Medicare wellness visits and advocate for programs to reduce those risk factors.

Health-related quality of life among elderly breast cancer patients treated with adjuvant endocrine therapy: a U.S Medicare population-based study.

OBJECTIVES: The evidence regarding the impact of individual adjuvant endocrine therapies (AET) on health-related quality of life (HRQoL) is limited. We aimed to assess the association between the type of AET and HRQoL and to examine the relationship between HRQoL and one-year mortality among women with breast cancer in the USA. METHODS: This retrospective cross-sectional study used the 2006-2017 Surveillance, Epidemiology, and End Results (SEER)-Medicare Health Outcomes Survey database to identify older women with early-stage hormone receptor-positive breast cancer. Multivariate linear regressions were used to assess the association between types of AET (anastrozole, letrozole, exemestane, and tamoxifen) and HRQoL scores (physical component summary (PCS) and mental component summary (MCS)). Multivariate logistic regressions were used to predict the impact of PCS and MCS on one-year mortality. RESULTS: Out of 3537 older women with breast cancer, anastrozole was the most commonly prescribed (n = 1945, 55.0%). Regarding PCS, there was no significant difference between the four AET agents. Higher MCS scores, which indicate better HRQoL, were reported in patients treated with anastrozole (vs. letrozole [ß = 1.26, p = 0.007] and exemestane [ß = 2.62, p = 0.005) and tamoxifen (vs. letrozole [ß = 1.49, p = 0.010] and exemestane [ß = 2.85, p = 0.004]). Lower PCS and MCS scores were associated with higher one-year mortality, regardless of type of AET initiated, except for tamoxifen in MCS. CONCLUSION: Although there was no significant difference in physical HRQoL scores between AET agents, anastrozole and tamoxifen were associated with better mental HRQoL scores.

Accessibility of Telehealth Services During the COVID-19 Pandemic: A Cross-Sectional Survey of Medicare Beneficiaries.

INTRODUCTION: Telehealth plays a role in the continuum of care, especially for older adults during the COVID-19 pandemic. Our objective was to examine factors associated with the accessibility of telehealth services during the COVID-19 pandemic among older adults. METHODS: We analyzed the nationally representative Medicare Current Beneficiary Survey COVID-19 Rapid Response Supplement Questionnaire of beneficiaries aged 65 years or older. Two weighted multivariable logistic regression models were used to examine associations between usual providers who offered telehealth 1) during the COVID-19 pandemic and 2) to replace a regularly scheduled appointment. We examined factors including sociodemographic characteristics, comorbidities, and digital access and literacy. RESULTS: Of the beneficiaries (n = 6,172, weighted n = 32.4 million), 81.2% reported that their usual providers offered telehealth during the COVID-19 pandemic. Among those offered telehealth services, 56.8% reported that their usual providers offered telehealth to replace a regularly scheduled appointment. Disparities in accessibility of telehealth services by sex, residing area (metropolitan vs nonmetropolitan), income level, and US Census region were observed. Beneficiaries who reported having internet access (vs no access) (OR, 1.75, P < .001) and who reported ever having participated in video, voice, or conference calls over the internet before (vs not) (OR, 2.18, P < .001) were more likely to report having access to telehealth. Non-Hispanic Black beneficiaries (versus White) (OR, 1.57, P = .007) and beneficiaries with comorbidities (vs none) (eg, 2 or 3 comorbidities, OR, 1.25, 95% P = .044) were more likely to have their usual provider offer telehealth to replace a regularly scheduled appointment. CONCLUSION: Although accessibility of telehealth has increased, inequities raise concern. Educational outreach and training, such as installing and launching an online web conferencing platform, should be considered for improving accessibility of telehealth to vulnerable populations beyond the COVID-19 pandemic.

Maladaptive Fall Risk Appraisal and Falling in Community-Dwelling Adults Aged 60 and Older: Implications for Screening.

OBJECTIVES: We aimed to examine the characteristics of maladaptive fall risk appraisal (FRA), discrepancies between physical and perceived-fall risk, and their associations with falls. METHODS: Fall risk appraisal was determined using the full-tandem stand test as an objective measure and the Fall Efficacy Scale-International as a subjective measure, and 433 adults aged ≥60 years from Thailand were classified into four groups: irrational (low physical/high perceived risk), incongruent (high physical/low perceived risk), congruent (high physical/high perceived risk) and rational (low physical/low perceived risk) FRAs. RESULTS: Only 20.8% of adults aged ≥60 years had rational FRA. The rest of the participants had either irrational (57.3%) or incongruent (2.3%), or congruent (19.6%) FRAs. Approximately 74% of those with congruent FRA reported experiencing a fall last year, followed by incongruent (60%), irrational (41.1%), and rational FRAs (27.8%, p < .001). After covariates adjustment, participants with congruent FRA were 3.06 times more likely of falling than those with rational FRA (p = .011). CONCLUSIONS: Maladaptive FRA is highly prevalent among adults aged ≥60. Identifying maladaptive FRA is essential for ensuring that adults aged ≥60 receiving early treatment associated with falls. CLINICAL IMPLICATIONS: Preventing a transition from rational to irrational, incongruent, and congruent fall risk appraisals is vital to prevent falls and mitigate this problematic health condition.

Factors Associated With Avoiding Health Care Among Community-Dwelling Medicare Beneficiaries With Type 2 Diabetes.

INTRODUCTION: Health care avoidance by Medicare beneficiaries with chronic conditions such as type 2 diabetes can result in adverse health and economic outcomes. The objective of this study was to describe factors associated with choices to avoid health care among Medicare beneficiaries with type 2 diabetes. METHODS: We used a survey-weighted logistic model and the nationally representative 2016 Medicare Current Beneficiary Survey to analyze data on 1,782 Medicare beneficiaries aged ≥65 with type 2 diabetes, to examine associations between Medicare beneficiaries' decisions to avoid health care and multiple factors (eg, dissatisfaction with information given by providers, health problems that should have been discussed with providers but were not, worry about health more than other people their age). RESULTS: Of our study sample, 26.1% reported they avoid health care. Five factors were associated with avoiding health care: delaying care (vs not) because of costs (adjusted odds ratio [aOR] = 2.06; P = .005); having health problems that should have been discussed with providers but were not (vs having discussions) (aOR = 1.50; P = .04); worrying (vs not) about health more than other people their age (aOR = 2.13; P < .001); self-reporting "other" minority race (vs non-Hispanic White) (aOR = 2.01; P = .006); and education levels. Participants with less than a high school diploma (aOR = 1.95; P = .001) and participants with a high school diploma only (aOR = 1.49; P = .049) were more likely than participants with an education beyond high school to report avoiding health care. CONCLUSION: Approximately 1 in 4 Medicare beneficiaries with type 2 diabetes avoid health care. We found inequities in care-seeking behavior by race/ethnicity and education level. Health care perceptions and lack of appropriate discussion of health care concerns with health care providers are also associated with this behavior. Clinical interventions (eg, improved patient-provider communication) and educational outreach are needed to decrease the numbers of Medicare beneficiaries who avoid health care.

Assessing Fall Risk Appraisal Through Combined Physiological and Perceived Fall Risk Measures Using Innovative Technology.

The current study aimed to categorize fall risk appraisal and quantify discrepancies between perceived fall risk measured subjectively using the short Fall Efficacy Scale-International and physiological fall risk measured objectively using the portable BTrackS™ Assess Balance System. One hundred two community-dwelling older adults were evaluated in this cross-sectional study. Approximately 40% of participants had maladaptive fall risk appraisals, which were either irrational (high perceived risk despite low physiological fall risk) or incongruent (low perceived risk but high physiological fall risk). The remaining 60% of participants had adaptive fall risk appraisals, which were either rational (low perceived risk aligned with low physiological fall risk) or congruent (high perceived risk aligned with high physiological fall risk). Among participants with rational, congruent, irrational, and incongruent appraisals, 21.7%, 66.7%, 28%, and 18.8%, respectively, reported having a history of falls (p < 0.01). Using technology to identify discrepancies in perceived and physiological fall risks can potentially increase the success of fall risk screening and guide fall interventions to target perceived or physiological components of balance. [Journal of Gerontological Nursing, 46(4), 41-47.].

Shifting Maladaptive Fall Risk Appraisal in Older Adults through an in-Home Physio-fEedback and Exercise pRogram (PEER): A Pilot Study.

OBJECTIVES: 1) examine the preliminary effectiveness of the Physio-feEdback and Exercise pRogram (PEER) for shifting maladaptive to adaptive fall risk appraisal and reducing fall risk, 2) determine the participants' feedback and acceptability of the program. METHODS: Forty-one older adults were assigned to either PEER intervention or attention control group. The 8-week PEER intervention consists of a visual physio-feedback, cognitive reframing, and combined group and home-based exercise led by a trained peer coach. The attention control group read fall prevention brochures and continued their normal activities. BTrackS Balance Test (BBT), short version of Fall Efficacy Scale International (short FES-I) and CDC fall risk checklist were measured from pre- to post-intervention. The feedback and acceptability were conducted at the program conclusion. RESULTS: About 11% of participants in the PEER group had positive shifting but none in the attention control group. Up to 32% of the participants in attention control had negative shifting compared to 5.3% in the PEER group. PEER group reported significant decreases in fall risk and high acceptability of the program. CONCLUSIONS: PEER intervention facilitates a shift from maladaptive to adaptive fall risk appraisal and reduces fall risk. CLINICAL IMPLICATIONS: Preventive interventions promoting alignment between perceive and physiological fall risk may contribute to reducing falls and increasing exercise adherence.

Medical Expenditures Associated With Diabetes Among Adult Medicaid Enrollees in Eight States.

INTRODUCTION: Little information is available on state-specific financial burdens of diabetes in the Medicaid population, yet such information is essential for state Medicaid programs to plan diabetes care and evaluate the benefits of diabetes prevention. We estimated medical expenditures associated with diabetes among adult Medicaid enrollees in 8 states. METHODS: We analyzed the latest available 2012 CMS Medicaid claims data for 1,193,811 adult enrollees aged 19-64 years in 8 states: Alabama, California, Connecticut, Florida, Illinois, Iowa, New York, and Oklahoma. For each state, we stratified the study population by Medicaid eligibility criteria: disability and nondisability. For each group, we estimated per capita annual medical expenditures on outpatient care, inpatient care, and prescription drugs by using a 2-part model, adjusted for age, sex, race/ethnicity, and comorbidities. We calculated the expenditures associated with diabetes as the difference in predicted expenditures for enrollees with and without diabetes. Analyses were done in 2017. RESULTS: For disability-based enrollees, the estimated total per capita annual diabetes expenditures ranged from $6,183 in Alabama to $15,319 in New York (all P < .001). For nondisability-based enrollees, the corresponding estimates ranged from $4,985 in Alabama to $15,366 in New York (all P < .001). The proportion of individual components varied by state and eligibility criteria. CONCLUSION: Medical expenditures associated with diabetes among adults on Medicaid were substantial and varied across studied states. Our estimates can be used by the 8 state Medicaid programs to prepare health care resources needed for diabetes care and assess the financial benefits of diabetes prevention programs.

Subjective Functional Difficulties Were Associated With Subjective Cognitive Decline Among U.S. Older Adults: Mentally Unhealthy Days Mediation and Income Level Moderation Effects.

Introduction: Subjective cognitive decline (SCD) is a self-perceived decline in cognition that may progress to mild cognitive impairment or Alzheimer's disease. SCD may be associated with difficulties in daily functioning and psychological distress. Previous research has shown the association between functional difficulties and SCD via mentally unhealthy days (MUDs). However, whether income levels influence the mediation effect of MUDs is less understood. Objectives: This study examined the association between subjective functional difficulties and the odds of SCD through MUDs, and whether the mediation effect was moderated by income levels. Methods: Cross-sectional data were obtained from the 2019 Behavioral Risk Factor Surveillance System (N = 13,160 older adults aged 65+; 7,370 women). SCD was assessed by more frequent or worse memory loss and confusion in the past 12 months. Subjective functional difficulties represented difficulties with daily activities. MUDs denoted the days that a person felt mentally unwell within the past 30 days. We used path analysis with 5,000 bootstrapped confidence intervals and logistic regression to classify the risks of SCD based on subjective functional difficulties and MUDs. Results: Subjective functional difficulties were positively associated with SCD through mediation by MUDs (b = 0.119, 95% CI 0.102, 0.137). After accounting for covariates, we found that greater subjective functional difficulties were associated with 2.50 times the odds of SCD (AOR = 2.50; 95% CI: 2.14, 2.91); MUDs were related to 1.06 times the odds of SCD reporting (AOR = 1.06; 95% CI: 1.05, 1.07). Income levels moderated the indirect effect of MUDs in the subjective functional difficulties-SCD relationship, with an income of <$15,000 showing the most prominent effect. Those earning ≥$50,000 self-reported a lower SCD than those earning <$15,000. Conclusions: Our study extends previous findings by demonstrating that greater subjective functional difficulties are associated with higher odds of SCD through more frequent MUDs, with higher income levels being associated with more SCD reporting.

Patient attitudes, experiences, and satisfaction with healthcare and office visit utilization among Medicare beneficiaries with type 2 diabetes.

OBJECTIVES: To examine patient attitudes, experiences, and satisfaction with healthcare associated with office visit utilization among Medicare beneficiaries with type 2 diabetes. METHODS: We analyzed the 2019 Medicare Current Beneficiary Survey Public Use File of beneficiaries aged ≥65 years with type 2 diabetes (n = 1092). The ordinal dependent variable was defined as 0, 1 to 5, and ≥6 office visits. An ordinal partial proportional odds model was conducted to examine associations of beneficiaries' attitudes, experiences, and satisfaction with healthcare and office visit utilization. RESULTS: Among the beneficiaries, approximately 17.7%, 22.8%, and 59.5% reported having 0, 1 to 5, and ≥6 office visits, respectively. Being male (OR = 0.67, p = 0.004), Hispanic (OR = 0.53, p = 0.006), divorced/separated (OR = 0.62, p = 0.038) and living in a non-metro area (OR = 0.53, p < 0.001) were associated with a lower likelihood of attending more office visits. Trying to keep sickness to themselves (OR = 0.66, p = 0.002) and dissatisfaction with the ease and convenience of getting to providers from home (OR = 0.45, p = 0.010) were associated with a lower likelihood of having more office visits. DISCUSSION: The proportion of beneficiaries foregoing office visits is concerning. Attitudes concerning healthcare and transportation challenges can be barriers to office visits. Efforts to ensure timely and appropriate access to care should be prioritized for Medicare beneficiaries with diabetes.

Digital Divide Among Beneficiaries and Medicare Diabetes Prevention Program.

INTRODUCTION: Successful delivery of the virtual Medicare Diabetes Prevention Program (MDPP) is influenced by a beneficiary's access to a computer and use of the Internet. METHODS: Using the 2020 nationally representative Medicare Current Beneficiary Survey, a three-level categorical dependent variable was created: (1) has a computer AND uses Internet, (2) has a computer OR uses Internet, and (3) has no access to either (reference group). A survey-weighted multinomial logit model was performed to examine associations between socio-demographics, comorbidities, and computer access and Internet use in 2023. RESULTS: Of study beneficiaries aged ≥65 years with BMI ≥25 kg/m2 and no history of diabetes (n=3,875), 70.8% had a computer AND used Internet; 14.3% had a computer OR used Internet; and 14.9% had no computer AND did not use Internet. Hispanics and non-Hispanic Blacks were less likely (OR=0.28, 95%CI [0.17-0.43]) than non-Hispanic Whites to have a computer AND use Internet. Beneficiaries with less education (

Hypertension Medication and Medicare Beneficiaries: Prescription Drug Coverage Satisfaction and Medication Non-Adherence among Older Adults.

Hypertension is so prevalent and requires strict adherence to medications to prevent further disease or death, but there is no study examining factors related to prescription drug non-adherence among 65 years old and older. This study aims to assess the likelihood of medication nonadherence among patients based on factors such as age, race, and socioeconomic status, with the goal of identifying strategies to enhance medication adherence and mitigate associated health risks. Using the 2020 Medicare Current Beneficiary Survey Public Use File to represent nationwide Medicare beneficiaries (unweighted n = 3917, weighted n = 27,134,782), medication non-adherence was related to multiple independent variables (i.e., age, sex, race/ethnicity, socioeconomic status, comorbidities, insurance coverage, and satisfaction with insurance). Cross-tabulations and Wald chi-square tests were used to determine how much each variable was related to non-adherence. Multivariate logistic regression was used to examine the association between medication non-adherence and factors such as prescription drug coverage satisfaction and cost-reducing behavior. Specific trends in medication non-adherence emerged among beneficiaries. Non-adherence was higher in older adults aged 65- to 74-year-olds and those with more chronic conditions (OR = 2.24; 95% CI = 1.74-2.89). If patients were dissatisfied with the medications on the insurance formulary or struggled to find a pharmacy that accepted their medication coverage, they had worse adherence (OR = 2.63; 95% CI = 1.80-3.84). Formulary and coverage must be expanded to improve adherence to antihypertensive medications in Medicare beneficiaries. Older adults aged 65 to 74 years may be less adherent to their medications because they do not see the seriousness of the disease and could benefit from further counseling. Patients with limited activities of daily living and more comorbidities may struggle with complex treatment regimens and should use adherence assistance tools.

Delivering the National Diabetes Prevention Program: Assessment of Outcomes in In-Person and Virtual Organizations.

The Centers for Disease Control and Prevention's Diabetes Prevention Recognition Program (DPRP) has helped organizations deliver the National Diabetes Prevention Program (National DPP) lifestyle change program for over 10 years. Four delivery modes are now approved: in person, online (self-paced, asynchronous delivery), distance learning (remote, synchronous delivery), and combination (hybrid delivery using more than one delivery mode). We assessed outcomes using data from 333,715 participants who started the 12-month program between January 1, 2012, and December 31, 2018. The average number of sessions attended was highest for in-person participants (15.0), followed by online (12.9), distance learning (12.2), and combination (10.7). The average number of weeks in the program was highest for in-person participants (28.1), followed by distance learning (20.1), online (18.7), and combination (18.6). The average difference between the first and last reported weekly physical activity minutes reflected an increase for in person (42.0), distance learning (27.1), and combination (15.0), but a decrease for online (-19.8). Among participants retained through session 6 or longer, average weekly physical activity minutes exceeded the program goal of 150 for all delivery modes. Average weight loss (percent of body weight) was greater for in person (4.4%) and distance learning (4.7%) than for online (2.6%) or combination (2.9%). Average participant weight loss increased gradually by session for all delivery modes; among participants who remained in the program for 22 sessions, average weight loss exceeded the program goal of 5% for all delivery modes. In summary, if participants stay in the program, most have positive program outcomes regardless of delivery mode; they have some outcome improvement even if they leave early; and their outcomes improve more the longer they stay. This highlights the benefits of better retention and increased enrollment in the National DPP lifestyle change programs, as well as enhancements to online delivery.

Prevalence of primary and secondary hypertension among hospitalized patients with cancer in the United States.

BACKGROUND: Hypertension is the most common comorbidity in patients with cancer. We aimed to estimate the prevalence of hypertension by demographic characteristics and cancer type among hospitalized patients with cancer. METHODS: Hospitalized cancer patients were included using 2016-2018 National Inpatient Sample data. The independent variable was the presence of hypertension, which was further classified as primary, secondary, and other hypertension. Patient characteristics were grouped by age, sex, race/ethnicity, and the 12 most common cancer types. Multinomial logistic regression was used. RESULTS: Among 638,670 hospitalized patients with cancer, 56.8% had hypertension. The predicted percentages of having any hypertension were higher with age, male gender, and black race. The predicted percentages of any hypertension were the highest in kidney cancer patients across all age and race/ethnicity groups. Uterine cancer was associated with the highest percentages of primary hypertension, followed by kidney cancer. Leukemia was associated with the highest percentages of secondary hypertension, followed by non-Hodgkin lymphoma. DISCUSSION: Kidney cancer patients had the highest predicted percentage of hypertension overall, while uterine cancer and leukemia had the highest percentages of primary and secondary hypertension, respectively. This study provides evidence for identifying cancer patients who need more attention for the prevention and management of hypertension.

Predicting unplanned readmission due to cardiovascular disease in hospitalized patients with cancer: a machine learning approach.

Cardiovascular disease (CVD) in cancer patients can affect the risk of unplanned readmissions, which have been reported to be costly and associated with worse mortality and prognosis. We aimed to demonstrate the feasibility of using machine learning techniques in predicting the risk of unplanned 180-day readmission attributable to CVD among hospitalized cancer patients using the 2017-2018 Nationwide Readmissions Database. We included hospitalized cancer patients, and the outcome was unplanned hospital readmission due to any CVD within 180 days after discharge. CVD included atrial fibrillation, coronary artery disease, heart failure, stroke, peripheral artery disease, cardiomegaly, and cardiomyopathy. Decision tree (DT), random forest, extreme gradient boost (XGBoost), and AdaBoost were implemented. Accuracy, precision, recall, F2 score, and receiver operating characteristic curve (AUC) were used to assess the model's performance. Among 358,629 hospitalized patients with cancer, 5.86% (n = 21,021) experienced unplanned readmission due to any CVD. The three ensemble algorithms outperformed the DT, with the XGBoost displaying the best performance. We found length of stay, age, and cancer surgery were important predictors of CVD-related unplanned hospitalization in cancer patients. Machine learning models can predict the risk of unplanned readmission due to CVD among hospitalized cancer patients.

Cost-related medication nonadherence among Medicare beneficiaries with cardiovascular disease risk factors: The role of comprehension of the Medicare programme and its prescription drug benefits.

RATIONALE, AIMS, AND OBJECTIVES: This study aims to investigate how reported comprehension of the Medicare programme and its prescription drug benefits is associated with cost-related medication nonadherence (CRN) among Medicare beneficiaries with cardiovascular disease (CVD) risk factors. METHODS: This cross-sectional study used the 2017 Medicare Current Beneficiary Survey Public Use File data and included Medicare beneficiaries aged ≥65 years who reported having at least one CVD risk factor (i.e., hypertension, hyperlipidemia, diabetes, smoking and obesity) (n = 2821). A survey-weighted logistic model was used to examine associations between perceived difficulty of understanding the Medicare programme and its prescription drug benefits and CRN, controlling for beneficiaries' demographic (e.g., age) and clinical characteristics (e.g, comorbidities). This study further analyzed five subgroups based on the type of CVD risk factors involved. RESULTS: Among Medicare beneficiaries with CVD risk factors, 14.4% reported CRN. Medicare beneficiaries with CVD risk factors who reported difficulty understanding the overall Medicare programme and its prescription drug benefits were more likely to report CRN, compared to those who reported easy understanding of the overall Medicare programme (OR = 1.50; 95% CI = 1.11-2.04; p = 0.009) and its prescription drug benefits (OR = 2.01; 95% CI = 1.52-2.66; p < 0.001). Similar results were obtained for the subgroups with obesity, hypertension or hyperlipidemia. CONCLUSIONS: Perceived difficulty of understanding the Medicare Programme and its prescription drug benefits is associated with CRN among Medicare beneficiaries with CVD risk factors, especially those with obesity, hypertension or hyperlipidemia. Monitoring and enhancing Medicare beneficiaries' overall understanding of the Medicare programme may reduce CRN.

Food Insecurity Among Medicare Beneficiaries With Type 2 Diabetes: Implications for Diabetes Care and Education Specialists.

PURPOSE: The purpose of the study was to examine factors associated with food insecurity among Medicare beneficiaries with type 2 diabetes. METHODS: The 2019 Medicare Current Beneficiary Survey Public Use File of beneficiaries ≥65 years old with type 2 diabetes (n = 1343) was analyzed. A binary variable was created to represent food insecurity (1 = food insecurity, 0 = without food insecurity) with ≥2 affirmative responses adapting an established algorithm of the United States Department of Agriculture food insecurity questionnaire. A survey-weighted logistic model was performed to examine factors (ie, sociodemographic characteristics, health status, and insurance coverage) associated with food insecurity. RESULTS: Approximately 11.6% of study Medicare beneficiaries with type 2 diabetes reported food insecurity. Non-Hispanic Black beneficiaries were more likely to report food insecurity than non-Hispanic White beneficiaries. Beneficiaries with incomes < $25 000 were more likely to report food insecurity than those with higher incomes. Beneficiaries enrolled in Medicare Advantage programs (vs traditional Medicare), having Medicare-Medicaid dual eligibility (vs nondual), and living with instrumental activities of daily living or activities of daily living limitations (vs without) were also more likely to report food insecurity than their respective counterparts. CONCLUSIONS: Sociodemographic disparities in food insecurity were observed among Medicare beneficiaries with type 2 diabetes. Implementation of screening protocols, interventions related to social determinants of health, and the diabetes care continuum may mitigate the prevalence of food insecurity in this demographic.