Browsing by Author "Green, Beverly B"

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    Evidence and Recommendations on the Use of Telemedicine for the Management of Arterial Hypertension: An International Expert Position Paper.
    (Hypertension (Dallas, Tex. : 1979), 2020-11) Omboni, Stefano; McManus, Richard J; Bosworth, Hayden B; Chappell, Lucy C; Green, Beverly B; Kario, Kazuomi; Logan, Alexander G; Magid, David J; Mckinstry, Brian; Margolis, Karen L; Parati, Gianfranco; Wakefield, Bonnie J
    Telemedicine allows the remote exchange of medical data between patients and healthcare professionals. It is used to increase patients' access to care and provide effective healthcare services at a distance. During the recent coronavirus disease 2019 (COVID-19) pandemic, telemedicine has thrived and emerged worldwide as an indispensable resource to improve the management of isolated patients due to lockdown or shielding, including those with hypertension. The best proposed healthcare model for telemedicine in hypertension management should include remote monitoring and transmission of vital signs (notably blood pressure) and medication adherence plus education on lifestyle and risk factors, with video consultation as an option. The use of mixed automated feedback services with supervision of a multidisciplinary clinical team (physician, nurse, or pharmacist) is the ideal approach. The indications include screening for suspected hypertension, management of older adults, medically underserved people, high-risk hypertensive patients, patients with multiple diseases, and those isolated due to pandemics or national emergencies.
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    Factors Affecting Post-trial Sustainment or De-implementation of Study Interventions: A Narrative Review.
    (Journal of general internal medicine, 2024-01) Green, Terren; Bosworth, Hayden B; Coronado, Gloria D; DeBar, Lynn; Green, Beverly B; Huang, Susan S; Jarvik, Jeffrey G; Mor, Vincent; Zatzick, Douglas; Weinfurt, Kevin P; Check, Devon K
    In contrast to traditional randomized controlled trials, embedded pragmatic clinical trials (ePCTs) are conducted within healthcare settings with real-world patient populations. ePCTs are intentionally designed to align with health system priorities leveraging existing healthcare system infrastructure and resources to ease intervention implementation and increase the likelihood that effective interventions translate into routine practice following the trial. The NIH Pragmatic Trials Collaboratory, funded by the National Institutes of Health (NIH), supports the conduct of large-scale ePCT Demonstration Projects that address major public health issues within healthcare systems. The Collaboratory has a unique opportunity to draw on the Demonstration Project experiences to generate lessons learned related to ePCTs and the dissemination and implementation of interventions tested in ePCTs. In this article, we use case studies from six completed Demonstration Projects to summarize the Collaboratory's experience with post-trial interpretation of results, and implications for sustainment (or de-implementation) of tested interventions. We highlight three key lessons learned. First, ineffective interventions (i.e., ePCT is null for the primary outcome) may be sustained if they have other measured benefits (e.g., secondary outcome or subgroup) or even perceived benefits (e.g., staff like the intervention). Second, effective interventions-even those solicited by the health system and/or designed with significant health system partner buy-in-may not be sustained if they require significant resources. Third, alignment with policy incentives is essential for achieving sustainment and scale-up of effective interventions. Our experiences point to several recommendations to aid in considering post-trial sustainment or de-implementation of interventions tested in ePCTs: (1) include secondary outcome measures that are salient to health system partners; (2) collect all appropriate data to allow for post hoc analysis of subgroups; (3) collect experience data from clinicians and staff; (4) engage policy-makers before starting the trial.
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    Preparing for the ICD-10-CM Transition: Automated Methods for Translating ICD Codes in Clinical Phenotype Definitions.
    (EGEMS (Washington, DC), 2016-01) Fung, Kin Wah; Richesson, Rachel; Smerek, Michelle; Pereira, Katherine C; Green, Beverly B; Patkar, Ashwin; Clowse, Megan; Bauck, Alan; Bodenreider, Olivier
    The national mandate for health systems to transition from ICD-9-CM to ICD-10-CM in October 2015 has an impact on research activities. Clinical phenotypes defined by ICD-9-CM codes need to be converted to ICD-10-CM, which has nearly four times more codes and a very different structure than ICD-9-CM.We used the Centers for Medicare & Medicaid Services (CMS) General Equivalent Maps (GEMs) to translate, using four different methods, condition-specific ICD-9-CM code sets used for pragmatic trials (n=32) into ICD-10-CM. We calculated the recall, precision, and F score of each method. We also used the ICD-9-CM and ICD-10-CM value sets defined for electronic quality measure as an additional evaluation of the mapping methods.The forward-backward mapping (FBM) method had higher precision, recall and F-score metrics than simple forward mapping (SFM). The more aggressive secondary (SM) and tertiary mapping (TM) methods resulted in higher recall but lower precision. For clinical phenotype definition, FBM was the best (F=0.67), but was close to SM (F=0.62) and TM (F=0.60), judging on the F-scores alone. The overall difference between the four methods was statistically significant (one-way ANOVA, F=5.749, p=0.001). However, pairwise comparisons between FBM, SM, and TM did not reach statistical significance. A similar trend was found for the quality measure value sets.The optimal method for using the GEMs depends on the relative importance of recall versus precision for a given use case. It appears that for clinically distinct and homogenous conditions, the recall of FBM is sufficient. The performance of all mapping methods was lower for heterogeneous conditions. Since code sets used for phenotype definition and quality measurement can be very similar, there is a possibility of cross-fertilization between the two activities.Different mapping approaches yield different collections of ICD-10-CM codes. All methods require some level of human validation.
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    Self-monitoring of blood pressure in hypertension: A systematic review and individual patient data meta-analysis.
    (PLoS medicine, 2017-09) Tucker, Katherine L; Sheppard, James P; Stevens, Richard; Bosworth, Hayden B; Bove, Alfred; Bray, Emma P; Earle, Kenneth; George, Johnson; Godwin, Marshall; Green, Beverly B; Hebert, Paul; Hobbs, FD Richard; Kantola, Ilkka; Kerry, Sally M; Leiva, Alfonso; Magid, David J; Mant, Jonathan; Margolis, Karen L; McKinstry, Brian; McLaughlin, Mary Ann; Omboni, Stefano; Ogedegbe, Olugbenga; Parati, Gianfranco; Qamar, Nashat; Tabaei, Bahman P; Varis, Juha; Verberk, Willem J; Wakefield, Bonnie J; McManus, Richard J

    Background

    Self-monitoring of blood pressure (BP) appears to reduce BP in hypertension but important questions remain regarding effective implementation and which groups may benefit most. This individual patient data (IPD) meta-analysis was performed to better understand the effectiveness of BP self-monitoring to lower BP and control hypertension.

    Methods and findings

    Medline, Embase, and the Cochrane Library were searched for randomised trials comparing self-monitoring to no self-monitoring in hypertensive patients (June 2016). Two reviewers independently assessed articles for eligibility and the authors of eligible trials were approached requesting IPD. Of 2,846 articles in the initial search, 36 were eligible. IPD were provided from 25 trials, including 1 unpublished study. Data for the primary outcomes-change in mean clinic or ambulatory BP and proportion controlled below target at 12 months-were available from 15/19 possible studies (7,138/8,292 [86%] of randomised participants). Overall, self-monitoring was associated with reduced clinic systolic blood pressure (sBP) compared to usual care at 12 months (-3.2 mmHg, [95% CI -4.9, -1.6 mmHg]). However, this effect was strongly influenced by the intensity of co-intervention ranging from no effect with self-monitoring alone (-1.0 mmHg [-3.3, 1.2]), to a 6.1 mmHg (-9.0, -3.2) reduction when monitoring was combined with intensive support. Self-monitoring was most effective in those with fewer antihypertensive medications and higher baseline sBP up to 170 mmHg. No differences in efficacy were seen by sex or by most comorbidities. Ambulatory BP data at 12 months were available from 4 trials (1,478 patients), which assessed self-monitoring with little or no co-intervention. There was no association between self-monitoring and either lower clinic or ambulatory sBP in this group (clinic -0.2 mmHg [-2.2, 1.8]; ambulatory 1.1 mmHg [-0.3, 2.5]). Results for diastolic blood pressure (dBP) were similar. The main limitation of this work was that significant heterogeneity remained. This was at least in part due to different inclusion criteria, self-monitoring regimes, and target BPs in included studies.

    Conclusions

    Self-monitoring alone is not associated with lower BP or better control, but in conjunction with co-interventions (including systematic medication titration by doctors, pharmacists, or patients; education; or lifestyle counselling) leads to clinically significant BP reduction which persists for at least 12 months. The implementation of self-monitoring in hypertension should be accompanied by such co-interventions.
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    The hypertension team: the role of the pharmacist, nurse, and teamwork in hypertension therapy.
    (Journal of clinical hypertension (Greenwich, Conn.), 2012-01) Carter, Barry L; Bosworth, Hayden B; Green, Beverly B
    Team-based care is one of the key components of the patient-centered medical home. Studies have consistently demonstrated that teams involving pharmacists or nurses in patient management can significantly improve blood pressure control. These findings have been demonstrated in several meta-analyses and systematic reviews. These reviews have generally found that team-based care can reduce systolic blood pressure by 4-10 mm Hg over usual care. However, these reviews have also concluded that many of the studies had various limitations and that additional research should be conducted. The present state of the art review paper will highlight newer studies, many of which were funded by the National Institutes of Health. Newer strategies involve telephone and/or web-based management which is an evolving area to improve blood pressure control in large populations. Social media and other technology is currently being investigated to assist pharmacists or nurses in communicating with patients to improve hypertension management. Few cost-effectiveness analyses have been performed but generally have found favorable costs for team-based care when considering the potential to reduce morbidity and mortality. The authors will suggest additional research that needs to be conducted to help evaluate strategies to best implement team-based care to improve blood pressure management.