Faculty Bibliography

KEY MESSAGES eHealth should support the transition towards personalized medicine, self-management and shared decisions in primary care. Several conditions need to be met to ensure that eHealth applications are safe, evidence-based and of high quality. Innovative but valid research methodology-e.g. adaptive (action research) designs-is a prerequisite for ongoing success and sustainability of eHealth. Primary care is challenged to provide high quality, accessible and affordable care for an increasingly ageing, complex, and multimorbid population. To counter these challenges, primary care professionals need to take up new and innovative practices, including eHealth. eHealth applications hold the promise to overcome some difficulties encountered in the care of people with complex medical and social needs in primary care. However, many unanswered questions regarding (cost) effectiveness, integration with healthcare, and acceptability to patients, caregivers, and professionals remain to be elucidated. What conditions need to be met? What challenges need to be overcome? What downsides must be dealt with? This first paper in a series on eHealth in primary care introduces basic concepts and examines opportunities for the uptake of eHealth in primary care. We illustrate that although the potential of eHealth in primary care is high, several conditions need to be met to ensure that safe and high-quality eHealth is developed for and implemented in primary care. eHealth research needs to be optimized; ensuring evidence-based eHealth is available. Blended care, i.e. combining face-to-face care with remote options, personalized to the individual patient should be considered. Stakeholders need to be involved in the development and implementation of eHealth via co-creation processes, and design should be mindful of vulnerable groups and eHealth illiteracy. Furthermore, a global perspective on eHealth should be adopted, and eHealth ethics, patients' safety and privacy considered.

Introduction: The Strengthening Referral Networks for Management of Hypertension Across the Health System (STRENGTHS) trial is creating and testing interventions to improve the effectiveness of referral networks for patients with hypertension in Western Kenya.
Purpose(s): Network analysis of facility-based healthcare providers was used to understand the existing network of referrals. The ultimate goal was to identify both structural gaps and opportunities for implementation of the planned intervention.
Method(s): A network survey was administered to providers who deliver care to patients with hypertension asking individuals to nominate a) individuals to whom, and b) facilities to which they refer patients, both up and down the health system. We analyzed survey data using centrality measures of in-degree and out-degree (number of links each provider received and sent, respectively), as well as fitting a core-periphery (CP) model. A higher CP indicates a strong referral network, while a lower CP indicates a relatively weaker network.
Result(s): Data were collected from 130 providers across 39 sites within 7 geographically separate network clusters. Each cluster consists of a mix of primary, secondary, and/or tertiary facilities. Compared to a perfect CP referral network model (Correlation Score [CP] = 1.00) and a random referral network model (CP = 0.200), the provider referral networks within each cluster showed a weak tendency for CP structure. There was a large range in CP from 0.334 to 0.639. In contrast, cluster-level facility networks showed a strong tendency for CP structure, with a CP range of 0.857 to 0.949.
Conclusion(s): The current health system across Western Kenya does not demonstrate a strong network of referrals between providers for patients with hypertension. While facility-to-facility referrals are more in-line with a perfect referral model, there are gaps in communication between the specific providers. These results highlight the need for STRENGTHS to design and test interventions that strengthen provider referral patterns in order to improve blood pressure control and reduce cardiovascular risk

BACKGROUND:Hypertension is a major risk factor for cardiovascular disease (CVD), yet treatment and control rates for hypertension are very low in low- and middle-income countries (LMICs). Lack of effective referral networks between different levels of the health system is one factor that threatens the ability to achieve adequate blood pressure control and prevent CVD-related morbidity. Health information technology and peer support are two strategies that have improved care coordination and clinical outcomes for other disease entities in other settings; however, their effectiveness and cost-effectiveness in strengthening referral networks to improve blood pressure control and reduce CVD risk in low-resource settings are unknown. METHODS/DESIGN/METHODS:We will use the PRECEDE-PROCEED framework to conduct transdisciplinary implementation research, focused on strengthening referral networks for hypertension in western Kenya. We will conduct a baseline needs and contextual assessment using a mixed-methods approach, in order to inform a participatory, community-based design process to fully develop a contextually and culturally appropriate intervention model that combines health information technology and peer support. Subsequently, we will conduct a two-arm cluster randomized trial comparing 1) usual care for referrals vs 2) referral networks strengthened with our intervention. The primary outcome will be one-year change in systolic blood pressure. The key secondary clinical outcome will be CVD risk reduction, and the key secondary implementation outcomes will include referral process metrics such as referral appropriateness and completion rates. We will conduct a mediation analysis to evaluate the influence of changes in referral network characteristics on intervention outcomes, a moderation analysis to evaluate the influence of baseline referral network characteristics on the effectiveness of the intervention, as well as a process evaluation using the Saunders framework. Finally, we will analyze the incremental cost-effectiveness of the intervention relative to usual care, in terms of costs per unit decrease in systolic blood pressure, per percentage change in CVD risk score, and per disability-adjusted life year saved. DISCUSSION/CONCLUSIONS:This study will provide evidence for the implementation of innovative strategies for strengthening referral networks to improve hypertension control in LMICs. If effective, it has the potential to be a scalable model for health systems strengthening in other low-resource settings worldwide. TRIAL REGISTRATION/BACKGROUND:Clinicaltrials.gov, NCT03543787 . Registered on 29 June 2018.

BACKGROUND:The incidence of cardiovascular (CV) risk factors is increasing globally, with a disproportionate burden in the low and low-middle income countries (L/LMICs). Peer support, as a low-cost lifestyle intervention, has succeeded in managing chronic illness. For global CV risk reduction, limited data exists in LMICs. AIM/OBJECTIVE:The GHP-CHANGE was designed as a community-based randomized trial to test the effectiveness of peer support strategy for CV risk reduction in the island of Grenada, a LMIC. METHODS:We recruited 402 adults from the Grenada Heart Project (GHP) Cohort Study of 2827 subjects with at least two CV risk factors. Subjects were randomized in a 1:1 fashion to a peer-group based intervention group (n = 206) or a self-management control group (n = 196) for 12 months. The primary outcome was the change from baseline in a composite score related to Blood pressure, Exercise, Weight, Alimentation and Tobacco (FBS, Fuster-BEWAT Score), ranging from 0 to 15 (ideal health = 15). Linear mixed-effects models were used to test for intervention effects. RESULTS:Participants mean age was 51.4 years (SD 14.5) years, two-thirds were female, and baseline mean FBS was 8.9 (SD 2.6) and 8.5 (SD 2.6) in the intervention and control group, respectively (P = .152). At post intervention, the mean FBS was higher in the intervention group compared to the control group [9.1 (SD 2.7) vs 8.5 (SD 2.6), P = .028]. When balancing baseline health profile, the between-group difference (intervention vs. control) in the change of FBS was 0.31 points (95% CI: -0.12 to 0.75; P = .154). CONCLUSIONS:The GHP-CHANGE trial showed that a peer-support lifestyle intervention program was feasible; however, it did not demonstrate a significant improvement in the FBS as compared to the control group. Further studies should assess the effects of low-cost lifestyle interventions in LMICs.

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 pressure <130 mm Hg and non-HDL cholesterol < National 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:Process evaluation is increasingly recognized as an important component of effective implementation research and yet, there has been surprisingly little work to understand what constitutes best practice. Researchers use different methodologies describing causal pathways and understanding barriers and facilitators to implementation of interventions in diverse contexts and settings. We report on challenges and lessons learned from undertaking process evaluation of seven hypertension intervention trials funded through the Global Alliance of Chronic Diseases (GACD). METHODS:Preliminary data collected from the GACD hypertension teams in 2015 were used to inform a template for data collection. Case study themes included: (1) description of the intervention, (2) objectives of the process evaluation, (3) methods including theoretical basis, (4) main findings of the study and the process evaluation, (5) implications for the project, policy and research practice and (6) lessons for future process evaluations. The information was summarized and reported descriptively and narratively and key lessons were identified. RESULTS:The case studies were from low- and middle-income countries and Indigenous communities in Canada. They were implementation research projects with intervention arm. Six theoretical approaches were used but most comprised of mixed-methods approaches. Each of the process evaluations generated findings on whether interventions were implemented with fidelity, the extent of capacity building, contextual factors and the extent to which relationships between researchers and community impacted on intervention implementation. The most important learning was that although process evaluation is time consuming, it enhances understanding of factors affecting implementation of complex interventions. The research highlighted the need to initiate process evaluations early on in the project, to help guide design of the intervention; and the importance of effective communication between researchers responsible for trial implementation, process evaluation and outcome evaluation. CONCLUSION/CONCLUSIONS:This research demonstrates the important role of process evaluation in understanding implementation process of complex interventions. This can help to highlight a broad range of system requirements such as new policies and capacity building to support implementation. Process evaluation is crucial in understanding contextual factors that may impact intervention implementation which is important in considering whether or not the intervention can be translated to other contexts.

BACKGROUND:Elevated blood pressure is the leading risk for mortality in the world. Task redistribution has been shown to be efficacious for hypertension management in low- and middle-income countries. However, the workforce requirements for such a task redistribution strategy are largely unknown. Therefore, we developed a needs-based workforce estimation model for hypertension management in western Kenya, using need and capacity as inputs. METHODS:Key informant interviews, focus group discussions, a Delphi exercise, and time-motion studies were conducted among administrative leadership, clinicians, patients, community leaders, and experts in hypertension management. These results were triangulated to generate the best estimates for the inputs into the health workforce model. The local hypertension clinical protocol was used to derive a schedule of encounters with different levels of clinician and health facility staff. A Microsoft Excel-based spreadsheet was developed to enter the inputs and generate the full-time equivalent workforce requirement estimates over 3 years. RESULTS:Two different scenarios were modeled: (1) "ramp-up" (increasing growth of patients each year) and (2) "steady state" (constant rate of patient enrollment each month). The ramp-up scenario estimated cumulative enrollment of 7000 patients by year 3, and an average clinical encounter time of 8.9 min, yielding nurse full-time equivalent requirements of 4.8, 13.5, and 30.2 in years 1, 2, and 3, respectively. In contrast, the steady-state scenario assumed a constant monthly enrollment of 100 patients and yielded nurse full-time equivalent requirements of 5.8, 10.5, and 14.3 over the same time period. CONCLUSIONS:A needs-based workforce estimation model yielded health worker full-time equivalent estimates required for hypertension management in western Kenya. The model is able to provide workforce projections that are useful for program planning, human resource allocation, and policy formulation. This approach can serve as a benchmark for chronic disease management programs in low-resource settings worldwide.

The American Association of Clinical Endocrinologists (AACE) has created a transculturalized diabetes chronic disease care model that is adapted for patients across a spectrum of ethnicities and cultures. AACE has conducted several transcultural activities on global issues in clinical endocrinology, and completed a 3-city series of conferences in December 2017 that focused on diabetes care for ethnic minorities in the U.S. Proceedings from the "Diabetes Care Across America" series of transcultural summits are presented here. Information from community leaders, practicing health care professionals, and other stakeholders in diabetes care is analyzed according to biological and environmental factors. Four specific U.S. ethnicities are detailed: African Americans, Latino/Hispanics, Asian Americans, and Native Americans. A core set of recommendations to culturally adapt diabetes care is presented that emphasizes culturally appropriate terminology, transculturalization of white papers, culturally adapting clinic infrastructure, flexible office hours, behavioral medicine especially motivational interviewing and building trust, culturally competent nutritional messaging and health literacy, community partnerships for care delivery, technology innovation, clinical trial recruitment and retention of ethnic minorities, and more funding for scientific studies on epigenetic mechanisms of cultural impact on disease expression. It is hoped that through education, research, and clinical practice enhancements, diabetes care can be optimized in terms of precision and clinical outcomes for the individual and U.S. population as a whole.