Telehealth Utilization During the COVID-19 Pandemic Among People With Functional Disabilities in the U.S.: A Preliminary Analysis of National Health Interview Survey 2020 Data.

Introduction: Telehealth has been widely promoted and adopted at multiple levels in the U.S. healthcare system during the COVID-19 pandemic. However, this rapid expansion of telehealth services may have further exacerbated health inequities among marginalized groups. Methods: Using the 2020 National Health Interview Survey, this study compared patterns of telehealth use between people with functional disabilities and people without disabilities during the first year of the pandemic. Results: In the multivariable-adjusted logistic regression models, respondents with moderate disabilities were significantly more likely to report telehealth use, not pandemic related (OR=1.25, 95% CI=1.03, 1.52) and telehealth use, pandemic related (OR=1.43, 95% CI=1.28, 1.60) than people without disabilities. Similarly, respondents with severe disabilities were significantly more likely to report telehealth use, not pandemic related (OR=1.46, 95% CI=1.07, 2.00) and telehealth use, pandemic related (OR=2.06, 95% CI=1.72, 2.46). In addition, telehealth use varied by the number of limitations and disability type. Conclusions: People with functional disabilities were more likely to report telehealth use than people without disabilities. Furthermore, these associations strengthened with increasing disability severity and number of limitations while varying by disability type. Additional studies are warranted to explore ways of providing patient-centered telehealth to responsively meet various healthcare needs of people with functional disabilities and improve their health outcomes.

Trends of Geriatric Certification and Practice Patterns of Family Physicians: 1988-2019.

BACKGROUND AND OBJECTIVES: Demand for geriatric care is increasing due to aging population. Trends in maintaining certification in geriatrics are unreported. Our objective was to describe the historic trend of family physicians who certified in geriatric medicine (FPs-GM) since 1988 and to assess differences in practice patterns between FPs-GM and family physicians (FPs). METHODS: We performed a retrospective descriptive study using administrative data collected by the American Board of Family Medicine (ABFM). The study population was family physicians registering to continue their ABFM certification from 2017 to 2019. Medicare public use billing data was linked to ABFM administrative data on certification history. We used univariate analysis for descriptive analysis and logistic regression to identify contributors of recertification in geriatrics. RESULTS: We identified a total of 3,207 FPs-GM between 1988 and 2019. More than half maintained GM certification since 2009 (57%), with male gender, White race, and urban practice associated with maintaining GM certification; 61% of their patients were older adults. FPs-GM were more likely to be in an academic practice setting with nearly half (53%) also practicing in hospitals or nursing homes. In the adjusted regression model, younger FPs or FPs who treat more older patients were significantly more likely to be recertified in geriatrics whereas other demographics and practice characteristics were not significant. CONCLUSIONS: Most FPs who recently earned GM certification tended to retain certification since the required accredited fellowship started in 1995.

Examining the relationship between metformin dose and cancer survival: A SEER-Medicare analysis.

Cancer is a major health problem in the U.S and type 2 diabetes mellitus (T2DM) is known to increase the risk for the development of many cancers. Metformin, a first-line therapy for treating T2DM, is increasingly being used for its anticancer effects; however, the literature is limited on the effect of metformin dose on overall survival in patients with stage IV cancer. Overall survival was defined as the time interval from the date of diagnosis to the last known follow-up or death from any cause. Subjects who were alive on December 31, 2016 were censored. In this cohort study we examined the relationship between metformin dose and overall survival in persons with both T2DM and stage IV lung, breast, colorectal, prostate, or pancreas cancers. We used a retrospective study design with Cox proportional hazards regression analysis of the 2007-2016 of the Surveillance Epidemiology and End Results-Medicare (SEER) dataset. Of the 7,725 patients, 2,981(38.5%) had been prescribed metformin. Patients who used metformin had significantly better overall survival in both unadjusted (Unadjusted HR, 0.73; 95% CI, 0.69-0.76; p < 0.001) and adjusted models (adjusted HR, 0.77; 95% CI, 0.73-0.81; p < 0.001). The overall survival between patients who took metformin with average daily dose ≥ 1000mg or < 1000mg were not statistically significant (aHR, 1.00; 95% CI, 0.93-1.08; p = 0.90). Metformin use regardless of dose is associated with increased overall survival in older adults with stage IV cancer.

Sharing patient-generated data with healthcare providers: findings from a 2019 national survey.

OBJECTIVE: Our study estimates the prevalence and predictors of wearable device adoption and data sharing with healthcare providers in a nationally representative sample. MATERIALS AND METHODS: Data were obtained from the 2019 Health Information National Trend Survey. We conducted multivariable logistic regression to examine predictors of device adoption and data sharing. RESULTS: The sample contained 4159 individuals, 29.9% of whom had adopted a wearable device in 2019. Among adopters, 46.3% had shared data with their provider. Individuals with diabetes (odds ratio [OR], 2.39; 95% CI, 1.66-3.45; P < .0001), hypertension (OR, 2.80; 95% CI, 2.12-3.70; P < .0001), and multiple chronic conditions (OR, 1.55; 95% CI, 1.03-2.32; P < .0001) had significantly higher odds of wearable device adoption. Individuals with a usual source of care (OR, 2.44; 95% CI, 1.95-3.04; P < .0001), diabetes (OR, 1.66; 95% CI, 1.32-2.08; P < .0001), and hypertension (OR, 1.78; 95% CI, 1.44-2.20; P < .0001) had significantly higher odds of sharing data with providers. DISCUSSION: A third of individuals adopted a wearable medical device and nearly 50% of individuals who owned a device shared data with a provider in 2019. Patients with certain conditions, such as diabetes and hypertension, were more likely to adopt devices and share data with providers. Social determinants of health, such as income and usual source of care, negatively affected wearable device adoption and data sharing, similarly to other consumer health technologies. CONCLUSIONS: Wearable device adoption and data sharing with providers may be more common than prior studies have reported; however, digital disparities were noted. Studies are needed that test implementation strategies to expand wearable device use and data sharing into care delivery.

Association of Patient-Provider Teach-Back Communication with Diabetic Outcomes: A Cohort Study.

BACKGROUND AND OBJECTIVES: The purpose of this study is to examine the patterns of patient teach-back experience (also known as "interactive communication loop") and determine its association with risk for diabetic complications and hospitalization, and health expenditures among individuals with diabetes. METHODS: A retrospective cohort study of 2901 US adults aged 18 years or older with a confirmed diagnosis of diabetes was conducted using data from the 2011 to 2016 Longitudinal Medical Expenditure Panel Survey. Survey-design adjusted multivariable models were used to examine whether having patient teach-back experience at the baseline year (Year 1) is associated with development of diabetic complications, hospitalization, and health expenditure at follow-up year (Year 2). Health expenditures were adjusted for inflation and expressed in 2017 US dollars. All adjusted models included patient sociodemographic and clinical characteristics. RESULTS: Analyses found that patients with teach-back experience were less likely to develop diabetic complications (adjusted odds ratio [AOR], 0.70; 95% CI, 0.52-0.96) and be admitted to the hospital due to diabetic complications (AOR, 0.51; 95% CI, 0.29-0.88) at 1-year followup. Patients having teach-back experience also had a significantly smaller increase in total expenditures of $1920 compared with those not having teach-back of $3639 (a differential change of -$1579; 95% CI, -$1717 to -$1443; P < .001). CONCLUSIONS: Teach-back could be an effective communication strategy that has potential to improve health outcomes, resulting in savings in diabetes care.

Novel Self-Report Tool for Cardiovascular Risk Assessment.

Background The currently used atherosclerotic cardiovascular disease risk calculator relies on several measured variables and does not incorporate some well-established risk factors such as family history of premature myocardial infarction and other nontraditional risk factors. Our study aimed to develop and validate a simple risk score to predict 10-year risk of incident cardiovascular events using patient-reported information. Methods and Results Using data from the Atherosclerosis Risk in Communities cohort, we identified adults with no previous history of cardiovascular disease and randomly divided the cohort into "development" (70%) and "validation" (30%) subgroups. Adjusted Cox regression modeling was used to develop a prediction model. The predictive performance of the new risk score was compared with the score derived from the atherosclerotic cardiovascular disease risk calculator. A total of 9285 individuals met the inclusion criteria. During follow-up (median 8.93 years), a total of 694 (7.47%) incident cardiovascular events occurred. The following 6 factors were included: male sex, age, current smoking, diabetes mellitus, hypertension, and family history of premature myocardial infarction. The C-statistic was 0.72 in the validation cohort with good calibration. The area under the curve for the simple risk score was comparable to the atherosclerotic cardiovascular disease risk score. Conclusions The novel simple risk score is an easy-to-use tool to predict cardiovascular events in adults from self-reported information without need for laboratory or physical examination data. This risk score included 6-items and had comparable predictive performance to the guideline recommended atherosclerotic cardiovascular disease risk score but relies solely on self-reported information.

Patient-provider communication quality for persons with disabilities: A cross-sectional analysis of the Health Information National Trends Survey.

BACKGROUND: It is unclear how perceived patient-provider communication quality (PPPCQ) varies according to disability status. Lack of adequate patient-provider communication may prevent providers from considering healthcare issues that are relevant and important to persons with disabilities (PWD), potentially contributing to poorer health outcomes. OBJECTIVE/HYPOTHESIS: To examine PPPCQ by disability status using current U.S. Department of Health and Human Services standards for surveillance of functional disabilities. METHODS: This cross-sectional study used nationally-representative data from the 2012-2013 Health Information National Trends Survey (HINTS). Participants were categorized as having any disability (hearing, vision, mobility, cognitive, self-care, and/or independent living limitations). PPPCQ was assessed using seven HINTS questions about communication with healthcare professionals. Linear regression was used to estimate mean differences in composite PPPCQ scores, and logistic regression was used to estimate odds ratios (OR) for a provider "always or usually" performing PPPCQ. RESULTS: The study population comprised 5301 participants, representing 180,442,731 U.S. adults. Overall, 22.1% (weighted) reported any disability. Adjusted mean PPPCQ scores were significantly lower for PWD (72.8, 95% CI: 68.2-77.4) than persons without disability (78.3, 95% CI: 76.5-80.2), p = 0.021. More specifically, PWD were significantly less likely to be given attention needed to address feelings and emotions (OR = 0.6, 95% CI: 0.4, 0.9, p = 0.017), to have next steps understood (OR = 0.4, 95% CI: 0.2, 0.8, p = 0.019), and to receive a clear explanation (OR = 0.3, 95% CI: 0.1, 0.8, p = 0.018). CONCLUSIONS: PWD are less likely to report key elements of effective patient-provider communication. Implementing patient-centered care may improve patient-provider communication for this vulnerable population.

Risk for Medication Nonadherence Among Medicaid Enrollees With Fibromyalgia: Development of a Validated Risk Prediction Tool.

OBJECTIVE: To develop and validate a risk assessment tool called the Prescription Medication Non-Adherence Prediction Tool (Rx-NAPT) to predict medication nonadherence in patients with fibromyalgia. METHODS: This was a retrospective cohort study using claims data from South Carolina Medicaid. Patients with fibromyalgia who were ≥18 years old and who had filled at least 1 prescription medication for pregabalin, duloxetine, or milnacipran from January 1, 2005, through June 30, 2011 were included. Medication possession ratios (MPRs) were calculated to classify patients as adherent (MPR ≥ 80%) or nonadherent (MPR < 80%). Multivariable logistic models using 100 bootstrap replications (with replacement) were used to identify factors associated with medication nonadherence, including age, gender, race, days' supply, medication type, and fibromyalgia-related comorbidity score. Weighted ß coefficients of the predictors were used to create the Rx-NAPT. Youden's J statistic was used to classify nonadherent patients into different levels of risk. RESULTS: The study sample comprised 6,626 patients with fibromyalgia, where 4,804 (72.50%) were non-adherent and 1,822 (27.50%) were adherent to their prescribed medication(s). Logistic regression models showed that 7 predictors (gender, age, race, fibromyalgia-related comorbidity score, medication type, health maintenance organization coverage, emergency room visit) were statistically significant in ≥50% of the bootstrapped samples. The final model demonstrated reasonable discrimination (area under the curve [AUC] = 0.6224) and calibration (Hosmer-Lemeshow goodness-of-fit; P > 0.05) statistics and was validated internally (AUC = 0.6372). CONCLUSION: Poor adherence with medication remains an important barrier to providing optimal care. Our risk prediction model provides an easy tool to help clinicians better identify patients with fibromyalgia who may not take their medications as prescribed.

Healthcare Costs and Medication Adherence Among Patients with Fibromyalgia: Combination Medication vs. Duloxetine, Milnacipran, Venlafaxine, and Pregabalin Initiators.

OBJECTIVE: To examine medication adherence and healthcare costs for combination prescription initiators (duloxetine/milnacipran/venlafaxine with pregabalin) vs. monotherapy initiators (duloxetine, milnacipran, venlafaxine, and pregabalin) among patients with fibromyalgia syndrome (FMS). METHODS: Our retrospective cohort study used claims data for the South Carolina Blue Cross Blue Shield State Health Plan (SHP). Patients with FMS ≥ 18 years of age, with prescription initiation from July 1, 2007, through June 30, 2010, and SHP enrollment for 12 months pre- and post-index periods were included (combination: n = 100; pregabalin: n = 665; duloxetine: n = 713; milnacipran: n = 131; venlafaxine: n = 272). Medication adherence measures included high adherence (medication possession ratio ≥ 80%) and total supply days. Healthcare costs comprised direct medical expenditures. Propensity score methods of inverse probability of treatment weights were used to control for selection bias due to differing pre-index characteristics. RESULTS: Odds ratios for high adherence were significantly increased (P < 0.05) among the combination cohort vs. the venlafaxine (2.15), duloxetine (1.39), and pregabalin (2.20) cohorts. Rate ratios for total supply days were significantly higher (P < 0.05) for combination vs. venlafaxine (1.23), duloxetine (1.08), and pregabalin (1.32) cohorts. Expenditures for total health care were significantly higher (P < 0.05) for combination vs. duloxetine ($26,291 vs. $17,190), milnacipran ($33,638 vs. $22,886), and venlafaxine ($26,586 vs. $16,857) cohorts. CONCLUSIONS: Medication adherence was considerably better for combination prescription initiators; however, expenditures for total health care were higher. Still, our findings suggest important clinical benefits with the use of combination prescription therapy, and prospective studies of medication adherence are warranted to examine causal relationships with outcomes not captured by healthcare claims databases.

Up-to-Date on Preventive Care Services Under Affordable Care Act: A Trend Analysis From MEPS 2007-2014.

BACKGROUND: The utilization of preventive care services has been less than optimal. As part of an effort to address this, the Affordable Care Act (ACA) mandated that private health insurance plans cover evidence-based preventive services. OBJECTIVES: To evaluate whether the provisions of ACA have increased being up-to-date on recommended preventive care services among privately insured individuals aged 18-64. RESEARCH DESIGN: Multivariate linear regression models were used to examine trends in prevalence of being up-to-date on selected preventive services, diagnosis of health conditions, and health expenditures between pre-ACA (2007-2010) and post-ACA (2011-2014). Adjusted difference-in-difference analyses were used to estimate changes in those outcomes in the privately insured that differed from changes in the uninsured (control group). RESULTS: After the passage of ACA, up-to-date rates of routine checkup (2.7%; 95% confidence interval, 0.8%-4.7%; P=0.007) and flu vaccination (5.9%; 95% confidence interval, 4.2%-7.6%; P<0.001) increased among those with private insurance, as compared with the control group. Changes in blood pressure check, cholesterol check and cancer screening (pap smear test, mammography, and colorectal cancer screening) were not associated with the ACA. Prevalence in diagnosis of health conditions remained constant. Slower uptrends in adjusted total health care expenditures and downtrends in adjusted out-of-pocket costs were observed during the study period. CONCLUSIONS: The provisions of the ACA have resulted in trivial increases in being up-to-date on selected preventive care services. Additional efforts may be required to take full advantage of the elimination of cost-sharing under the ACA.

Assessment of antibiotic resistance in Klebsiella pneumoniae exposed to sequential in vitro antibiotic treatments.

BACKGROUND: Bacteria treated with different classes of antibiotics exhibit changes in susceptibility to successive antibiotic treatments. This study was designed to evaluate the influence of sequential antibiotic treatments on the development of antibiotic resistance in Klebsiella pneumoniae associated with ß-lactamase and efflux pump activities. METHODS: The antibiotic susceptibility, ß-lactamase activity, and efflux activity were determined in K. pneumoniae grown at 37 °C by adding initial (0 h) and second antibiotics (8 or 12 h). Treatments include control (CON; no first and second antibiotic addition), no initial antibiotic addition followed by 1 MIC ciprofloxacin addition (CON-CIP), no initial antibiotic addition followed by 1 MIC meropenem addition (CON-MER), initial 1/4 MIC ciprofloxacin addition followed by no antibiotic addition (1/4CIP-CON), initial 1/4 MIC ciprofloxacin addition followed by 1 MIC ciprofloxacin addition (1/4CIP-CIP), and initial 1/4 MIC ciprofloxacin addition followed by 1 MIC meropenem addition (1/4CIP-MER). RESULTS: Compared to the CON, the initial addition of 1/4 MIC ciprofloxacin inhibited the growth of K. pneumoniae throughout the incubation period. The ciprofloxacin treatments (CON-CIP and 1/4CIP-CIP) showed significant reduction in the number of K. pneumoniae cells compared to meropenem (CON-MER and 1/4CIP-MER). The 1/4CIP-CIP achieved a further 1 log reduction of K. pneumoniae, when compared to the 1/4CIP-CON and 1/CIP-MER. The increase in sensitivity of K. pneumoniae to cefotaxime, kanamycin, levofloxacin, nalidixic acid was observed for CON-CIP. Noticeable cross-resistance pattern was observed at the 1/4CIP-CIP, showing the increased resistance of K. pneumoniae to chloramphenicol, ciprofloxacin, kanamycin, levofloxacin, nalidixic acid norfloxacin, sulphamethoxazole/trimethoprim, and tetracycline. The levels of ß-lactamase activities were estimated to be 8.4 µmol/min/ml for CON, 7.7 µmol/min/ml for 1/4CIP-CON and as low as 2.9 µmol/min/ml for CON-CIP. Compared to the absence of phenylalanine-arginine-ß-naphthylamide (PAßN), the fluorescence intensity of EtBr was increased in K. pneumoniae cells treated at the CON, CON-CIP, and CON-MER in the presence of PAßN. However, the efflux pump activity remained in K. pneumoniae cells treated at the 1/CIP, 1/CIP-CIP, and 1/CIP-MER in the presence of PAßN. CONCLUSION: The results suggest that the pre-exposed antibiotic history, treatment order, and concentrations influenced the development of multiple antibiotic resistant associated with ß-lactamase and efflux pump activities. This study highlights the importance of antibiotic treatment conditions, which would be taken into consideration when new antibiotic strategy is designed to prevent antibiotic resistance.

Assessment of altered binding specificity of bacteriophage for ciprofloxacin-induced antibiotic-resistant Salmonella Typhimurium.

This study describes a new effort toward understanding the interaction mechanisms between antibiotic-resistant Salmonella Typhimurium and phages. The antibiotic susceptibility, ß-lactamase activity, bacterial motility, gene expression, and lytic activity were evaluated in ciprofloxacin-induced antibiotic-sensitive Salmonella Typhimurium (ASST(CIP)) and ciprofloxacin-induced antibiotic-resistant S. Typhimurium (ARST(CIP)), which were compared to the wild-type strains (ASST(WT) and ARST(WT)). The MIC values of ampicillin, norfloxacin, chloramphenicol, and tetracycline were significantly increased to > 512, 16, 16, and 256 µg/ml, respectively, in the ARST(CIP). The lowest and highest extracellular lactamase activities were observed in ASST(WT) (6.85 µmol/min/ml) and ARST(CIP) (48.83 µmol/min/ml), respectively. The acrA, lpfE, and hilA genes were significantly upregulated by more than tenfold in both ASST(CIP) and ARST(CIP). The induction of multiple antibiotic resistance resulted from the increased efflux pump activity (AcrAB-TolC). The highest phage adsorption rates were more than 95 % for ASST(WT), ASST(CIP), and ARST(WT), while the lowest adsorption rate was 52 % for ARST(CIP) at 15 min of infection. The least lytic activity of phage was 20 % against the ARST(CIP), followed by ASST(CIP) (30 %). The adsorption rate of phage against ARST(CIP) was 52 % at 15 min of infection, which resulted in the decrease in lytic activity (12 %). Understanding the interaction of phage and bacteria is essential for the practical application of phage to control and detect antibiotic-resistant bacteria. The results provide useful information for understanding the binding specificity of phages for multiple antibiotic-resistant pathogens.