Search

Background Although Staphylococcus aureus and gram-negative bacterial bloodstream infections (SAB/GNB) cause substantial morbidity, little is known regarding patient perceptions’ of their impact on quality of life (QOL). Guidance for assessing QOL and disease-specific measures are lacking. We conducted a descriptive qualitative study to gain an in-depth understanding of patients’ experiences with SAB/GNB and concept elicitation phase to inform a patient-reported QOL outcome measure. Methods We conducted prospective one-time, in-depth, semi-structured, individual, qualitative telephone interviews 6– 8 weeks following bloodstream infection with either SAB or GNB. Patients were enrolled in an institutional registry (tertiary academic medical center) for SAB or GNB. Interviews were audio-recorded, transcribed, and coded. Directed content analysis identified a priori and emergent themes. Theme matrix techniques were used to facilitate analysis and presentation. Results Interviews were completed with 30 patients with SAB and 31 patients with GNB. Most patients were at or near the end of intravenous antibiotic treatment when interviewed. We identified 3 primary high-level concepts: impact on QOL domains, time as a critical index, and sources of variability across patients. Across both types of bloodstream infection, the QOL domains most impacted were physical and functional, which was particularly evident among patients with SAB. Conclusions SAB/GNB impact QOL among survivors. In particular, SAB had major impacts on multiple QOL domains. A combination of existing, generic measures that are purposefully selected and disease-specific items, if necessary, could best capture these impacts. Engaging patients as stakeholders and obtaining their feedback is crucial to conducting patient-centered clinical trials and providing patient-centered care.

Stakeholder-informed strategies addressing cardiovascular disease (CVD) burden among people living with HIV (PWH) are needed within healthcare settings. This study provides an assessment of how human-centered design (HCD) guided the adaptation of a nurse-led intervention to reduce CVD risk among PWH. Using a HCD approach, research staff guided two multidisciplinary “design teams” in Ohio and North Carolina, with each having five HCD meetings. We conducted acceptability and feasibility testing. Six core recommendations were produced by two design teams of key stakeholders and further developed after the acceptability and feasibility testing to produce a final list of 14 actionable areas of adaptation. Acceptability and feasibility testing revealed areas for adaptation, e.g. patient preferences for communication and the benefit of additional staff to support patient follow-up. In conclusion, along with acceptability and feasibility testing, HCD led to the production of 14 key recommendations to enhance the effectiveness and scalability of an integrated HIV/CVD intervention.

Persons living with human immunodeficiency virus (PLHIV) are at increased risk of atherosclerotic cardiovascular disease (ASCVD). In spite of this, uptake of evidence-based clinical interventions for ASCVD risk reduction in the HIV clinic setting is sub-optimal. METHODS: EXTRA-CVD is a 12-month randomized clinical effectiveness trial that will assess the efficacy of a multi-component nurse-led intervention in reducing ASCVD risk among PLHIV. Three hundred high ASCVD risk PLHIV across three sites will be randomized 1:1 to usual care with generic prevention education or the study intervention. The study intervention will consist of four evidence-based components: (1) nurse-led care coordination, (2) nurse-managed medication protocols and adherence support (3) home BP monitoring, and (4) electronic health records support tools. The primary outcome will be change in systolic blood pressure and secondary outcome will be change in non-HDL cholesterol over the course of the intervention. Tertiary outcomes will include change in the proportion of participants in the following extended cascade categories: (1) appropriately diagnosed with hypertension and hyperlipidemia (2) appropriately managed; (3) at treatment goal (systolic blood pressure130 mm Hg and non-HDL cholesterolNational Lipid Association targets). CONCLUSIONS: The EXTRA-CVD trial will provide evidence appraising the potential impact of nurse-led interventions in reducing ASCVD risk among PLHIV, an essential extension of the HIV care continuum beyond HIV viral suppression.

Background Even well-designed, theoretically driven clinical trials can fall short of achieving the desired clinical outcomes. Our research team had an opportunity to conduct two randomized controlled trials that were enrolling patients in parallel. While both studies were targeting chronic disease management among patients with multiple comorbid conditions, the patient population and settings varied. The studies were the Cardiovascular Intervention Improvement Telemedicine Study (CITIES) and Simultaneous Risk Factor Control Using Telehealth to slow Progression of Diabetic Kidney Disease (STOP-DKD) studies. Both studies had null findings. Objectives Our goal is to discuss common design considerations across CITIES and STOP-DKD and potential implications for the design of future randomized controlled trials. Methods These were two 1:1 randomized controlled trials with attention control groups that recruited patients from various clinical practices in the Research Triangle area of North Carolina. Conclusions We make three recommendations for future studies. First, we assert that it is important to allow for piloting the enrollment process to ensure that it is possible to identify and recruit a patient population that is well aligned with the clinical outcomes of the intervention. Second, analysis plans should be more targeted in their approach and should consider heterogeneity of treatment effects. Third, in order to support the transition of evidence generated from randomized controlled trials into clinical practice, it is important to consider even early stage randomized controlled trials through an implementation science lens. Trial registration Simultaneous Risk Factor Control Using Telehealth to slow Progression of Diabetic Kidney Disease (STOP-DKD) NCT01829256; Cardiovascular Intervention Improvement Telemedicine Study NCT01142908.

Objective Geriatric screening tools assess functional limitations and inform clinical decision-making for older adults with cancer. Our objective was to evaluate the feasibility and effectiveness of a screener in community-based oncology clinics. Materials and Methods Eligible patients were from two rural, underserved community-based cancer clinics; within 12 months of a cancer diagnosis (breast, lung, colorectal, pancreas, esophageal); aged ≥60 years; and not exclusively pursuing palliative care. We used a previously validated tool that was embedded in the electronic health record (EHR). Patient-reported responses identified memory impairment, depressive symptoms, deficits in activities of daily living, poor nutrition, and polypharmacy. At the discretion of the oncologist, responses prompted service referrals. From the EHR, we extracted information about referrals and completion of planned therapy. We present descriptive statistics. Results Enrolled patients (n = 44) had a mean age of 71.5 years (SD = 6.9). Most were non-white (61%), women (66%), with government-sponsored health insurance (80%). The most commonly identified geriatric syndromes: polypharmacy (89%), reduced quality of life (39%), and poor nutrition (39%). The screener triggered a referral in 98% of patients. Generated referrals were for depressive symptoms (52% needed, 39% received), nutrition (43% needed, 37% received), and polypharmacy (89% needed, 26% received). Patients were referred to social work (56%), nutrition (44%), and pharmacy (25%). Many patients completed planned radiation therapy (100%), surgery (70%), and chemotherapy (60%). Conclusions Use of an EHR-embedded brief geriatric oncology assessment in rural oncology clinics identified geriatric syndromes that would benefit from provision of services in nearly all enrolled patients. Trial Registration ClinicalTrials.gov Identifier: NCT02906592 .

Despite the known health and economic benefits of medications, nonadherence remains a significant, yet entirely preventable public health burden. Over decades, there have been numerous research studies evaluating health interventions and policy efforts aimed at improving adherence, yet no universal or consistently high impact solutions have been identified. At present, new challenges and opportunities in policy and the movement toward value-based care should foster an environment that appreciates adherence as a mechanism to improve health outcomes and control costs (eg, fewer hospitalizations, reduced health care utilization). Our objective was to provide a commentary on recent changes in the landscape of research and health policy directed toward improving adherence and an actionable agenda to achieve system level savings and improved health by harnessing the benefits of medications. Specifically, we address the complementary perspectives of precision medicine and population health management; integrating data sources to develop innovative measurement of adherence and target adherence interventions; and behavioral economics to determine appropriate incentives.

Objectives Data suggest that poor sleep quality as measured by the Pittsburgh Sleep Quality Index (PSQI) contributes to suboptimal diabetes control. How the subscales comprising the PSQI individually relate to diabetes control is poorly understood. Methods In order to explore how PSQI subscales relate to diabetes control, we analyzed baseline data from a trial of a telemedicine intervention for diabetes. We used multivariable modeling to examine: (1) the relationship between the global PSQI and hemoglobin A1c (HbA1c); (2) the relationships between the 7 PSQI subscales and HbA1c; and (3) medication nonadherence as a possible mediating factor. Results Global PSQI was not associated with HbA1c ( n = 279). Only one PSQI subscale, sleep disturbances, was associated with HbA1c after covariate adjustment; HbA1c increased by 0.4 points for each additional sleep disturbances subscale point (95%CI 0.1 to 0.8). Although the sleep disturbances subscale was associated with medication nonadherence (OR 2.04, 95%CI 1.27 to 3.30), a mediation analysis indicated nonadherence does not mediate the sleep disturbances-HbA1c relationship. Discussion The sleep disturbances subscale may drive the previously observed relationship between PSQI and HbA1c. The mechanism for the relationship between sleep disturbances and HbA1c remains unclear, as does the impact on HbA1c of addressing sleep disturbances.

Patients with diabetic kidney disease (DKD) often struggle with blood pressure control. In team-based models of care, pharmacists and primary care providers (PCPs) play important roles in supporting patients’ blood pressure management. To describe whether PCPs’ acceptance of pharmacists’ recommendations impacts systolic blood pressure (SBP) at 36 months. An observational analysis of a subset of participants randomized to the intervention arm of the Simultaneous risk factor control using Telehealth to slOw Progression of Diabetic Kidney Disease (STOP-DKD) study. STOP-DKD participants for whom (1) the pharmacist made at least one recommendation to the PCP; (2) there were available data regarding the PCP’s corresponding action; and (3) there were SBP measurements at baseline and 36 months. Participants received monthly telephone calls with a pharmacist addressing health behaviors and medication management. Pharmacists made medication-related recommendations to PCPs. We fit an unadjusted generalized linear mixed model to assess the association between the number of pharmacists’ recommendations for DKD and blood pressure management and PCPs’ acceptance of such recommendations. We used a linear regression model to evaluate the association between PCP acceptance and SBP at 36 months, adjusted for baseline SBP. Pharmacists made 176 treatment recommendations (among 59 participants), of which 107 (61%) were accepted by PCPs. SBP significantly declined by an average of 10.5 mmHg (p < 0.01) among 47 of 59 participants who had valid measurements at baseline and 36 months. There was a significant association between the number of pharmacist recommendations and the odds of PCP acceptance (OR 1.19; 95%CI 1.00, 1.42; p < 0.05), but no association between the number of accepted recommendations and SBP. Pharmacists provided actionable medication-related recommendations. We identified a significant decline in SBP at 36 months, but this reduction was not associated with recommendation acceptance. NCT01829256

Compared to white patients in the United States, people of racial and ethnic minority groups face higher rates of chronic disease including diabetes, obesity, stroke, cardiovascular disease and cancer. Minority groups are also less likely to receive medication therapy to manage complications of chronic disease as well as be adherent to these therapies. A recently announced proposed rule by the Department of Health and Human Services Office of the Inspector General (HHS OIG), which would discourage rebates between manufacturers and payers in favor of discounts directly provided to patients, has received significant attention for its anticipated impact on prescription drug pricing and reimbursement in Medicare. This commentary describes the proposed rule and how it may impact adherence among patients of racial minority groups through an illustrative case study and discussion.

Telemedicine can facilitate population health management by extending the reach of providers to efficiently care for high-risk, high-utilization populations. However, for telemedicine to be maximally useful, data collected using telemedicine technologies must be reliable and readily available to healthcare providers. To address current gaps in integration of patient-generated health data into the electronic health record (EHR), we examined 2 patient-facing platforms, Epic MyChart and Apple HealthKit, both of which facilitated the uploading of blood glucose data into the EHR as part of a diabetes telemedicine intervention. All patients were offered use of the MyChart platform; we subsequently invited a purposive sample of patients who used the MyChart platform effectively (n = 5) to also use the Apple HealthKit platform. Patients reported both platforms helped with diabetes self-management, and providers appreciated the convenience of the processes for obtaining patient data. Providers stated that the EHR data presentation format for Apple HealthKit was challenging to interpret; however, they also valued the greater perceived accuracy the Apple HealthKit data. Our findings indicate that patient-facing platforms can feasibly facilitate transmission of patient-generated health data into the EHR and support telemedicine-based care.

While racial variation in ambulatory blood pressure (BP) is known, patterns of diurnal dipping in the context of diabetic kidney disease have not been well defined. The authors sought to determine the association of race with nocturnal dipping status among participants with diabetic kidney disease enrolled in the STOP-DKD (Simultaneous Risk Factor Control Using Telehealth to Slow Progression of Diabetic Kidney Disease) trial. The primary outcome was nocturnal dipping—percent decrease in average systolic BP from wake to sleep—with categories defined as reverse dippers (decrease

BackgroundThe use of health information technology (HIT) may improve medication adherence, but challenges for implementation remain. ObjectiveThe aim of this paper is to review the current state of HIT as it relates to medication adherence programs, acknowledge the potential barriers in light of current legislation, and provide recommendations to improve ongoing medication adherence strategies through the use of HIT. MethodsWe describe four potential HIT barriers that may impact interoperability and subsequent medication adherence. Legislation in the United States has incentivized the use of HIT to facilitate and enhance medication adherence. The Health Information Technology for Economic and Clinical Health (HITECH) was recently adopted and establishes federal standards for the so-called "meaningful use" of certified electronic health record (EHR) technology that can directly impact medication adherence. ResultsThe four persistent HIT barriers to medication adherence include (1) underdevelopment of data reciprocity across clinical, community, and home settings, limiting the capture of data necessary for clinical care; (2) inconsistent data definitions and lack of harmonization of patient-focused data standards, making existing data difficult to use for patient-centered outcomes research; (3) inability to effectively use the national drug code information from the various electronic health record and claims datasets for adherence purposes; and (4) lack of data capture for medication management interventions, such as medication management therapy (MTM) in the EHR. Potential recommendations to address these issues are discussed. ConclusionTo make meaningful, high quality data accessible, and subsequently improve medication adherence, these challenges will need to be addressed to fully reach the potential of HIT in impacting one of our largest public health issues.