Statins reduce the risk of coronary heart disease (CHD) in individuals with a history of CHD or risk equivalents. A 10-year CHD risk >20% is considered a risk equivalent but is frequently not ...detected. Statin use and low-density lipoprotein cholesterol (LDL-C) control were examined among participants with CHD or risk equivalents in the nationwide Reasons for Geographic and Racial Differences in Stroke study (n = 8812).
Participants were categorized into 4 mutually exclusive groups: (1) history of CHD (n = 4025); (2) no history of CHD but with a history of stroke and/or abdominal aortic aneurysm (AAA) (n = 946); (3) no history of CHD or stroke/AAA but with diabetes mellitus (n = 3134); or (4) no history of the conditions in (1) through (3) but with 10-year Framingham CHD risk score (FRS) >20% calculated using the third Adult Treatment Panel point scoring system (n = 707).
Statins were used by 58.4% of those in the CHD group and 41.7%, 40.4% and 20.1% of those in the stroke/AAA, diabetes mellitus and FRS >20% groups, respectively. Among those taking statins, 65.1% had LDL-C <100 mg/dL, with no difference between the CHD, stroke/AAA, or diabetes mellitus groups. However, compared with those in the CHD group, LDL-C <100 mg/dL was less common among participants in the FRS >20% group (multivariable adjusted prevalence ratio: 0.72; 95% confidence interval: 0.62-0.85). Results were similar using the 2013 American College of Cardiology/American Heart Association cholesterol treatment guideline.
These data suggest that many people with high CHD risk, especially those with an FRS >20%, do not receive guideline-concordant lipid-lowering therapy and do not achieve an LDL-C <100 mg/dL.
Among individuals without diabetes, elevated hemoglobin A1c (HbA1c) has been associated with increased morbidity and mortality, but the literature is sparse regarding the prognostic importance of low ...HbA1c.
National Health and Nutrition Examination Survey III (NHANES III) participants, 20 years and older, were followed up to 12 years (median follow-up, 8.8 years) for all-cause mortality. Cox proportional hazards regression was used to calculate hazard ratios (HR) and 95% confidence intervals (CI) for the association between HbA1c levels and all-cause mortality for 14 099 participants without diabetes. There were 1825 deaths during the follow-up period. Participants with a low HbA1c (<4.0%) had the highest levels of mean red blood cell volume, ferritin, and liver enzymes and the lowest levels of mean total cholesterol and diastolic blood pressure compared with their counterparts with HbA1c levels between 4.0% and 6.4%. An HbA1c <4.0% versus 5.0% to 5.4% was associated with an increased risk of all-cause mortality (HR, 3.73; 95% CI, 1.45 to 9.63) after adjustment for age, race-ethnicity, and sex. This association was attenuated but remained statistically significant after further multivariable adjustment for lifestyle, cardiovascular factors, metabolic factors, red blood cell indices, iron storage indices, and liver function indices (HR, 2.90; 95% CI, 1.25 to 6.76).
In this nationally representative cohort, low HbA1c was associated with increased all-cause mortality among US adults without diabetes. Additional research is needed to confirm these results and identify potential mechanisms that may be underlying this association.
To determine diabetic patients' knowledge and beliefs about the disease and medications that could hinder optimal disease management.
A cross-sectional survey of 151 type 2 diabetic patients ...characterizing diabetes knowledge and beliefs about the disease and medications was conducted.
Mean diabetes duration was 13 years. Over half of the patients (56%) believed that normal glucose is <or=200 mg/dl, 54% reported being able to feel when blood glucose levels are high, 36% thought that they will not always have diabetes, 29% thought that their doctor will cure them of diabetes, one in four (23%) said there is no need to take diabetes medications when glucose levels are normal, and 12% believed they have diabetes only when glucose levels are high.
Diabetes knowledge and beliefs inconsistent with a chronic disease model of diabetes were prevalent in this sample. Suboptimal knowledge and beliefs are potentially modifiable and are logical targets for educational interventions to improve diabetes self-management.
Abstract Lifestyle behavior changes can prevent progression of prediabetes to diabetes but providers often are not able to effectively counsel about preventive lifestyle changes. We developed and ...pilot tested the Avoiding Diabetes Thru Action Plan Targeting (ADAPT) program to enhance primary care providers' counseling about behavior change for patients with prediabetes. Primary care providers in two urban academic practices and their patients with prediabetes were recruited to participate in the ADAPT study, an unblinded randomized pragmatic trial to test the effectiveness of the ADAPT program, including a streamlined electronic medical record-based goal setting tool. Providers were randomized to intervention or control arms; eligible patients whose providers were in the intervention arm received the ADAPT program. Physical activity (the primary outcome) was measured using pedometers, and data were gathered about patients' diet, weight and glycemic control. A total of 54 patients were randomized and analyzed as part of the 6-month ADAPT study (2010–2012, New York, NY). Those in the intervention group showed an increase total daily steps compared to those in the control group (+ 1418 vs − 598, p = 0.007) at 6 months. There was also a trend towards weight loss in the intervention compared to the control group (− 1.0 lbs. vs. 3.0 lbs., p = 0.11), although no change in glycemic control. The ADAPT study is among the first to use standard electronic medical record tools to embed goal setting into realistic primary care workflows and to demonstrate a significant improvement in prediabetes patients' physical activity.
Health behavior and weight management interventions for cancer survivors have the potential to prevent future cancer recurrence and improve long-term health; however, their translation can be limited ...if the intervention is complex and involves high participant burden. Mobile health (mHealth) offers a delivery modality to integrate interventions into daily life routines.
The objective of this study was to evaluate the effects of a one-group trial with a pre-post evaluation design on engagement (use and acceptability), physiological (weight), behavioral (diet and physical activity), and other secondary outcomes.
The 10-week intervention consisted of mHealth components (self-monitoring of selected diet behaviors via daily text messages, wireless devices to automatically track weight and steps) and 4 motivational interviewing-based technology-assisted phone sessions with a nonprofessionally trained counselor. Participants were overweight breast cancer survivors who had completed treatment and owned a smartphone. Weight was measured objectively; diet and physical activity were measured with brief self-reported questionnaires.
Ten women participated; they had a mean age of 59 years (SD 6), 50% belonged to a racial or ethnic minority group, 50% had some college or less, and 40% reported using Medicaid health insurance. Engagement was high: out of 70 days in total, the mean number of days recording steps via the wristband pedometer was 64 (SD 7), recording a weight via the scale was 45 (SD 24), and responding to text messages was 60 (SD 13); 100% of participants completed all 4 calls with the counselor. Most (90%) were very likely to participate again and recommend the program to others. Mean weight in pounds decreased (182.5 to 179.1, mean change -3.38 SD 7.67), fruit and vegetable daily servings increased (2.89 to 4.42, mean change 1.53 SD 2.82), and self-reported moderate physical activity increased in metabolic equivalent of task (MET) minutes per week (2791 to 3336, mean change 545 SD 1694).
Findings support the conduct of a fully powered trial to evaluate the efficacy of mHealth as a feasible intervention modality for breast cancer survivors. Future research should employ accelerometer-based physical activity assessment and consider development of an all-in-one app to integrate devices, messaging, and educational content and other mHealth approaches to support behavioral counselors conducting weight management interventions.
Nonadherence to cardiovascular medications such as statins is a common, important problem. Clinicians currently rely on intuition to identify medication nonadherence. The visit-to-visit variability ...(VVV) of low-density lipoprotein (LDL) cholesterol might represent an opportunity to identify statin nonadherence with greater accuracy. We examined the clinical and pharmacy data from 782 members of the Boston Medical Center Health Plan, seen at either the Boston Medical Center or its affiliated community health centers, who were taking statins and had ≥3 LDL cholesterol measurements from 2008 to 2011. The LDL cholesterol VVV (defined by the within-patient SD) was categorized into quintiles. Multivariate logistic regression models were generated with statin nonadherence (defined by the standard 80% pharmacy refill-based medication possession ratio threshold) as the dependent variable. The proportion of statin nonadherence increased across the quintiles of LDL cholesterol VVV (64.3%, 71.2%, 89.2%, 92.3%, 91.7%). Higher quintiles of LDL cholesterol VVV had a strong positive association with statin nonadherence, with an adjusted odds ratio of 3.4 (95% confidence interval 1.7 to 7.1) in the highest versus lowest quintile of LDL cholesterol VVV. The age- and gender-adjusted model had poor discrimination (C-statistic 0.62, 95% confidence interval 0.57 to 0.67), but the final adjusted model (age, gender, race, mean LDL cholesterol) demonstrated good discrimination (C-statistic 0.75, 95% confidence interval 0.71 to 0.79) between the adherent and nonadherent patients. In conclusion, the VVV of LDL cholesterol demonstrated a strong association with statin nonadherence in a clinic setting. Furthermore, a VVV of LDL cholesterol-based model had good discrimination characteristics for statin nonadherence. Research is needed to validate and generalize these findings to other populations and biomarkers.
Telemedicine in obstetrics has mostly been described in the rural areas that have limited access to subspecialties. During the COVID-19 pandemic, health systems rapidly expanded telemedicine services ...for urgent and nonurgent healthcare delivery, even in urban settings. The New York University health system implemented a prompt systemwide expansion of video-enabled telemedicine visits, increasing telemedicine to >8000 visits daily within 6 weeks of the beginning of the pandemic. There are limited studies that explore patient and provider satisfaction of telemedicine visits in obstetrical patients during the COVID-19 epidemic, particularly in the United States.
This study aimed to evaluate both the patients’ and the providers’ satisfaction with the administration of maternal-fetal medicine services through telemedicine and to identify the factors that drive the patients’ desire for future obstetrical telemedicine services.
A cross-sectional survey was administered to patients who completed a telemedicine video visit with the Division of Maternal-Fetal Medicine at the New York University Langone Hospital—Long Island from March 19, 2020, to May 26, 2020. A 10-question survey assessing the patients’ digital experience and desire for future use was either administered by telephone or self-administered by the patients via a link after obtaining verbal consent. The survey responses were scored from 1—strongly disagree to 5—strongly agree. We analyzed the demographics and survey responses of the patients who agreed to vs those who answered neutral or disagree to the question “I would like telehealth to be an option for future obstetric visits.” The providers also answered a similar 10-question survey. The median scores were compared using appropriate tests. A P value of <.05 was considered significant.
A total of 253 patients participated in 433 telemedicine visits, and 165 patients completed the survey, resulting in a 65% survey response rate. Overall, there were high rates of patient satisfaction in all areas assessed. Those who desired future telemedicine had significantly greater agreeability that they were able to see and hear their provider easily (5 4.5, 5 vs 5 4, 5; P=.014) and that the lack of physical activity was not an issue (5 4, 5 vs 5 4, 5; P=.032). They were also more likely to agree that the telemedicine visits were as good as in-person visits (4 3, 5 vs 3 2, 3; P<.001) and that telehealth made it easier for them to see doctors or specialists (5 4, 5 vs 3 2, 3; P<.001). The patients seeking consults for poor obstetrical history were more likely to desire future telemedicine compared with other visit types (19 (90%) vs 2 (10%); P=.05). Provider survey responses also demonstrated high levels of satisfaction, with 83% agreeing that they would like telemedicine to be an option for future obstetrical visits.
We demonstrated that maternal-fetal medicine obstetrical patients and providers were highly satisfied with the implementation of telemedicine during the initial wave of the COVID-19 pandemic and a majority of them desire telemedicine as an option for future visits. A patient's desire for future telemedicine visits was significantly affected by their digital experience, the perception of a lack of need for physical contact, perceived time saved on travel, and access to healthcare providers. Health systems need to continue to improve healthcare delivery and invest in innovative solutions to conduct physical examinations remotely.
Technology is increasingly embedded into the full spectrum of health care. This movement has benefited from the application of software development practices such as usability testing and agile ...development processes. These practices are frequently applied in both commercial or operational and academic settings. However, the relative importance placed on rapid iteration, validity, reproducibility, generalizability, and efficiency differs between the 2 settings and the needs and objectives of academic versus pragmatic usability evaluations.
This paper explores how usability evaluation typically varies on key dimensions in pragmatic versus academic settings that impact the rapidity, validity, and reproducibility of findings and proposes a hybrid approach aimed at satisfying both pragmatic and academic objectives.
We outline the characteristics of pragmatic versus academically oriented usability testing in health care, describe the tensions and gaps resulting from differing contexts and goals, and present a model of this hybrid process along with 2 case studies of digital development projects in which we demonstrate this integrated approach to usability evaluation.
The case studies presented illustrate design choices characteristic of our hybrid approach to usability evaluation.
Designed to leverage the strengths of both pragmatically and academically focused usability studies, a hybrid approach allows new development projects to efficiently iterate and optimize from usability data as well as preserves the ability of these projects to produce deeper insights via thorough qualitative analysis to inform further tool development and usability research by way of academically focused dissemination.
We integrated and optimized patient-reported outcome measures into the electronic health record to provide quantitative, objective data regarding patients’ health status, which is important for ...patient care, payer contracts, and research. With a multidisciplinary team from information technology, clinical informatics, population health, and physician champions, we used formal human–computer interaction techniques and user-centered design to integrate several technology platforms and computerized adaptive testing for the National Institutes of Health Patient-Reported Outcomes Measurement Information System. The patient-reported outcome measure system leverages software frequently used by health systems and provides data for research and clinical care via a mobile-responsive web application using Symfony, with REDCap for configuring assessments and de-identified data storage. The system incorporates Oracle databases and Epic flowsheets. Patients complete patient-reported outcome measures, with data viewable in MyChart and Epic Synopsis Reports. Researchers can access data portals. The highly usable, successful patient-reported outcome measures platform is acceptable to patients and clinicians and achieved 73 percent overall completion rates.
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