Comparative Case Analysis of the Role of Community Health Workers in Rural and Low-Income Populations of West Virginia and the United States.

The rural United States, including West Virginia, has decades of experience engaging communities and utilizing community health workers (CHWs). This study aims to inform policy and planning by comparing how 2 county-level CHW programs engage with communities. The analysis is based on in-depth interviews with 19 community representatives and 20 health workers and archival documents and published literature reviews. Results highlight the local contextual determinants for community engagement with CHW programs. Making CHW policies inclusive and adaptable to local realities will enable more community benefits. Making the value of CHW programs for communities explicit should guide resource allocation and policies.

Follow the Sex: Influence of Network Structure on the Effectiveness and Cost-Effectiveness of Partner Management Strategies for Sexually Transmitted Infection Control.

BACKGROUND: It is well established that network structure strongly influences infectious disease dynamics. However, little is known about how the network structure impacts the cost-effectiveness of disease control strategies. We evaluated partner management strategies to address bacterial sexually transmitted infections (STIs) as a case study to explore the influence of the network structure on the optimal disease management strategy. METHODS: We simulated a hypothetical bacterial STI spread through 4 representative network structures: random, community-structured, scale-free, and empirical. We simulated disease outcomes (prevalence, incidence, total infected person-months) and cost-effectiveness of 4 partner management strategies in each network structure: routine STI screening alone (no partner management), partner notification, expedited partner therapy, and contact tracing. We determined the optimal partner management strategy following a cost-effectiveness framework and varied key compliance parameters of partner management in sensitivity analysis. RESULTS: For the same average number of contacts and disease parameters in our setting, community-structured networks had the lowest incidence, prevalence, and total infected person-months, whereas scale-free networks had the highest without partner management. The highly connected individuals were more likely to be reinfected in scale-free networks than in the other network structures. The cost-effective partner management strategy depended on the network structures, the compliance in partner management, the willingness-to-pay threshold, and the rate of external force of infection. CONCLUSIONS: Our findings suggest that contact network structure matters in determining the optimal disease control strategy in infectious diseases. Information on a population's contact network structure may be valuable for informing optimal investment of limited resources.

Cost-effectiveness of Diabetes Prevention Interventions Targeting High-risk Individuals and Whole Populations: A Systematic Review.

OBJECTIVE: We conducted a systematic review of studies evaluating the cost-effectiveness (CE) of interventions to prevent type 2 diabetes (T2D) among high-risk individuals and whole populations. RESEARCH DESIGN AND METHODS: Interventions targeting high-risk individuals are those that identify people at high risk of developing T2D and then treat them with either lifestyle or metformin interventions. Population-based prevention strategies are those that focus on the whole population regardless of the level of risk, creating public health impact through policy implementation, campaigns, and other environmental strategies. We systematically searched seven electronic databases for studies published in English between 2008 and 2017. We grouped lifestyle interventions targeting high-risk individuals by delivery method and personnel type. We used the median incremental cost-effectiveness ratio (ICER), measured in cost per quality-adjusted life year (QALY) or cost saved to measure the CE of interventions. We used the $50,000/QALY threshold to determine whether an intervention was cost-effective or not. ICERs are reported in 2017 U.S. dollars. RESULTS: Our review included 39 studies: 28 on interventions targeting high-risk individuals and 11 targeting whole populations. Both lifestyle and metformin interventions in high-risk individuals were cost-effective from a health care system or a societal perspective, with median ICERs of $12,510/QALY and $17,089/QALY, respectively, compared with no intervention. Among lifestyle interventions, those that followed a Diabetes Prevention Program (DPP) curriculum had a median ICER of $6,212/QALY, while those that did not follow a DPP curriculum had a median ICER of $13,228/QALY. Compared with lifestyle interventions delivered one-on-one or by a health professional, those offered in a group setting or provided by a combination of health professionals and lay health workers had lower ICERs. Among population-based interventions, taxing sugar-sweetened beverages was cost-saving from both the health care system and governmental perspectives. Evaluations of other population-based interventions-including fruit and vegetable subsidies, community-based education programs, and modifications to the built environment-showed inconsistent results. CONCLUSIONS: Most of the T2D prevention interventions included in our review were found to be either cost-effective or cost-saving. Our findings may help decision makers set priorities and allocate resources for T2D prevention in real-world settings.

Investing in the Frontlines: Why Trusting and Supporting Communities of Color Will Help Address Gun Violence.

This article proposes potential strategies to address gun violence in communities of color while identifying the harms associated with a policing-centered, criminal legal approach. In addition to highlighting the dangers associated with the United States' current criminal legal tactics to reduce gun violence in these communities, the authors advocate for community-endorsed strategies that give those impacted by this issue the resources to take on gun violence in their own communities. Specifically, they identify, describe, and endorse a series of violence prevention programs that rely on community relations to detect and prevent incidents of gun violence and that view gun violence as a public health rather than criminal legal issue.

Cost-effectiveness analysis of different hypertension management strategies in a community setting.

Self-management schemes and mobile apps can be used for the management of hypertension in the community, but the most appropriate patient population is unknown. To explore whether the Chinese Health Literacy Scale (CHLSH) can be used to screen for appropriate patients with hypertension for self-management and to evaluate the clinical effectiveness and health economic evaluation of three hypertension management schemes. This was a prospective study performed from March 2017 to July 2017 in consecutive patients with primary hypertension and of 50-80 years of age from the Jinyang community, Wuhou District, Chengdu. The CHLSH was completed and the patients were classified into the high (n = 283) and low (n = 315) health literacy groups. The patients were randomly divided into the self-management, traditional management, and mobile app management groups. The high-health literacy group was selected to construct the cost-effectiveness decision tree model. Blood pressure control rate and the quality-adjusted life years (QALYs) were determined. At the end of follow-up, the success rate of self-management was 83.4%. The costs for 6 months of treatment for each patient with hypertension in the self-management, traditional management, and mobile app groups were 1266, 1751, and 1856 yuan, respectively. The costs required for obtaining 1 QALY when managing for 6 months were: 30,869 yuan for self-management; 48,628 yuan for traditional management; and 43,199 yuan for the mobile app. The CHLSH can be used as a tool for screening patients with hypertension for self-management. The cost-effectiveness of self-management was optimal.

Collaborative governance in the Quebec Cancer Network: a realist evaluation of emerging mechanisms of institutionalization, multi-level governance, and value creation using a longitudinal multiple case study design.

BACKGROUND: People living with and beyond cancer (PLC) receive various forms of specialty care at different locations and many interventions concurrently or over time. They are affected by the operation of professional and organizational silos. This results in undue delays in access, unmet needs, sub-optimal care experiences and clinical outcomes, and human and financial costs for PLCs and healthcare systems. National cancer control programs advocate organizing in a network to coordinate actions, solve fragmentation problems, and thus improve clinical outcomes and care experiences for every dollar invested. The variable outcomes of such networks and factors explaining them have been documented. Governance is the "missing link" for understanding outcomes. Governance refers to the coordination of collective action by a body in a position of authority in pursuit of a common goal. The Quebec Cancer Network (QCN) offers the opportunity to study in a natural environment how, why, by whom, for whom, and under what conditions collaborative governance contributes to practices that produce value-added outcomes for PLCs, healthcare providers, and the healthcare system. METHODS/DESIGN: The study design consists of a longitudinal case study, with multiple nested cases (4 local networks nested in the QCN), mobilizing qualitative and quantitative data and mixed data from various sources and collected using different methods, using the realist evaluation approach. Qualitative data will be used for a thematic analysis of collaborative governance. Quantitative data from validated questionnaires will be analyzed to measure relational coordination and teamwork, care experience, clinical outcomes, and health-related health-related quality of life, as well as a cost analysis of service utilization. Associations between context, governance mechanisms, and outcomes will be sought. Robust data will be produced to support decision-makers to guide network governance towards optimized clinical outcomes and the reduction of the economic toxicity of cancer for PLCs and health systems.

Measuring network rewiring over time.

Recent years have seen tremendous advances in the scientific study of networks, as more and larger data sets of relationships among nodes have become available in many different fields. This has led to pathbreaking discoveries of near-universal network behavior over time, including the principle of preferential attachment and the emergence of scaling in complex networks. Missing from the set of network analysis methods to date is a measure that describes for each node how its relationship (or links) with other nodes changes from one period to the next. Conventional measures of network change for the most part show how the degrees of a node change; these are scalar comparisons. Our contribution is to use, for the first time, the cosine similarity to capture not just the change in degrees of a node but its relationship to other nodes. These are vector (or matrix)-based comparisons, rather than scalar, and we refer to them as "rewiring" coefficients. We apply this measure to three different networks over time to show the differences in the two types of measures. In general, bigger increases in our rewiring measure are associated with larger increases in network density, but this is not always the case.

Impact of a borderless sample transport network for scaling up viral load monitoring: results of a geospatial optimization model for Zambia.

INTRODUCTION: The World Health Organization recommends viral load (VL) monitoring at six and twelve months and then annually after initiating antiretroviral treatment for HIV. In many African countries, expansion of VL testing has been slow due to a lack of efficient blood sample transportation networks (STN). To assist Zambia in scaling up testing capacity, we modelled an optimal STN to minimize the cost of a national VL STN. METHODS: The model optimizes a STN in Zambia for the anticipated 1.5 million VL tests that will be needed in 2020, taking into account geography, district political boundaries, and road, laboratory and facility infrastructure. We evaluated all-inclusive STN costs of two alternative scenarios: (1) optimized status quo: each district provides its own weekly or daily sample transport; and (2) optimized borderless STN: ignores district boundaries, provides weekly or daily sample transport, and reaches all Scenario 1 facilities. RESULTS: Under both scenarios, VL testing coverage would increase to from 10% in 2016 to 91% in 2020. The mean transport cost per VL in Scenario 2 was $2.11 per test (SD $0.28), 52% less than the mean cost/test in Scenario 1, $4.37 (SD $0.69), comprising 10% and 19% of the cost of a VL respectively. CONCLUSIONS: An efficient STN that optimizes sample transport on the basis of geography and test volume, rather than political boundaries, can cut the cost of sample transport by more than half, providing a cost savings opportunity for countries that face significant resource constraints.

Merging current health care trends: innovative perspective in aging care.

Current trends in health care delivery and management such as predictive and personalized health care incorporating information and communication technologies, home-based care, health prevention and promotion through patients' empowerment, care coordination, community health networks and governance represent exciting possibilities to dramatically improve health care. However, as a whole, current health care trends involve a fragmented and scattered array of practices and uncoordinated pilot projects. The present paper describes an innovative and integrated model incorporating and "assembling" best practices and projects of new innovations into an overarching health care system that can effectively address the multidimensional health care challenges related to aging patient especially with chronic health issues. The main goal of the proposed model is to address the emerging health care challenges of an aging population and stimulate improved cost-efficiency, effectiveness, and patients' well-being. The proposed home-based and community-centered Integrated Healthcare Management System may facilitate reaching the persons in their natural context, improving early detection, and preventing illnesses. The system allows simplifying the health care institutional structures through interorganizational coordination, increasing inclusiveness and extensiveness of health care delivery. As a consequence of such coordination and integration, future merging efforts of current health care approaches may provide feasible solutions that result in improved cost-efficiency of health care services and simultaneously increase the quality of life, in particular, by switching the center of gravity of health delivery to a close relationship of individuals in their communities, making best use of their personal and social resources, especially effective in health delivery for aging persons with complex chronic illnesses.

Cost-effectiveness Analysis of a Stepped, Collaborative and Coordinated Health Care Network for Patients with Somatoform Disorders (Sofu-Net).

BACKGROUND: Somatoform disorders are highly prevalent mental disorders causing impairment and large economic burden. In order to improve the diagnosis and management of affected patients, a health care network for somatoform disorders (Sofu-Net) was implemented in primary care. AIMS OF THE STUDY: The aim of the study was to determine the cost-effectiveness of a stepped, collaborative and coordinated health care network for somatoform and functional disorders (Sofu-Net) compared with regular primary care physician (PCP) practices in German primary care from a societal perspective. METHODS: This study was part of a 6-month controlled, prospective, non-randomized, observer-blinded cluster cohort trial. Participants were recruited from 33 PCP practices in Hamburg, Germany. The health care network was a collaboration of PCPs, psychotherapists, inpatient clinics and a specialized outpatient clinic. Participants in the control group received usual care. A cost-effectiveness analysis, using treatment response as measure of effectiveness, was performed. Uncertainty in cost-effectiveness was analyzed using cost-effectiveness acceptability curves. RESULTS: In total, n=218 patients (n=119 patients in the intervention group and n=99 patients in the control group) were included in the study. At 6 months, patients within the Sofu-Net group did not differ significantly from the control group with regard to costs (533; standard error 941) and treatment response (--10.3%). For Sofu-Net, the probability of being cost-effective at a willingness-to-pay (WTP) of 10,000 per additional response to treatment was only 31%. DISCUSSION: Sofu-Net is unlikely to be cost-effective. Even for high WTP, the probability of cost-effectiveness was low. The results were robust to variation of costs included in the analysis as well as when only complete cases were included in the analysis. The most important limitations of the study were that randomization could not be established at patient level and at practice level and that the study design did not allow measurement of costs at baseline. CONCLUSION: Patients with severe somatic symptoms did not benefit from the health care network. Sofu-Net might have reduced costs in patients with moderate somatic symptoms. IMPLICATIONS FOR FURTHER RESEARCH: Owing to the limitations and due to a short follow-up of this study, further cost-effectiveness analyses with high methodological quality and a follow-up of at least one year are needed in order to produce results that are more reliable.

Associations Between Changes in Depressive Symptoms and Social Support and Diabetes Management Among Low-Income, Predominantly Hispanic Patients in Patient-Centered Care.

OBJECTIVE: This study examined whether changes in depressive symptoms and social support prospectively predicted diabetes management among Hispanic patients with probable depression in patient-centered medical homes at safety-net clinics in East Los Angeles, CA. RESEARCH DESIGN AND METHODS: Data were collected from 251 patients enrolled in a randomized clinical trial testing the effectiveness of a self-management intervention assisted by a promotora (Hispanic community health worker). Cross-lagged analyses examined associations between changes in depression symptoms and social support between baseline and 6-month follow-up and self-efficacy and adherence to diabetes management at the 6- and 12-month follow-ups. RESULTS: Changes in depressive symptoms predicted self-efficacy and level of adherence at the 6- and 12-month follow-ups. Changes in total social support and emotional social support were correlated only with self-efficacy regarding diabetes management at 6-month follow-up. CONCLUSIONS: Decline in depressive symptoms is a reliable predictor of improvement in self-efficacy and adherence to diabetes management. Further studies are recommended to study psychosocial mechanisms related to social relationships other than social support that affect diabetes management.

Bundling Care for Cardiac Surgery Patients.

Patients returning to the community after surgery often experience a disconnect when transitioning from hospital to community home care. Many receive little organized/planned care following discharge sometimes resulting in unplanned expensive care in hospital emergency departments and inpatient readmissions. Trillium Health Partners, a large community/teaching hospital, in partnership with community care provider Saint Elizabeth Health Care, designed and implemented a seamless "bundled care program" for cardiac surgery patients extending from hospitalization to 30 days after discharge. With a risk/gain sharing model, the bundled care program enabled a novel integrated clinical patient care model. This included integrated care coordinators embedded within the hospital team, 24/7 patient phone line, integrated medical records and a tracking board that enabled performance monitoring and improvement. Evaluation results revealed: a 16% reduction in post-operative length of stay; a 38% reduction in readmission rates; and a 13% decrease in total system cost per patient, together with markers of improved patient experience.

Empowering caregivers of orphans and vulnerable children in Swaziland.

This paper reports on the health and psychosocial impacts of a programme designed to economically empower female caregivers of orphans and vulnerable children (OVC). The results presented are from a cohort of 492 female caregivers who participated in savings groups and were responsible for 887 OVC. The data showed that the caregivers had increased earnings, borrowed more, repaid their loans, and expanded their businesses. Important health impacts were found for both the caregivers and the OVC. Access to health care increased and the proportion of OVC and caregivers who reported being too ill to take part in daily activities decreased. Results showed that WORTH savings group members increased their financial resources and used them to improve the wellbeing of OVC in their care. The economic and social empowerment had a positive impact on child protection, child wellbeing and health.

Conditions for addressing environmental determinants of health behavior in intersectoral policy networks: A fuzzy set Qualitative Comparative Analysis.

Improving health requires changes in the social, physical, economic and political determinants of health behavior. For the realization of policies that address these environmental determinants, intersectoral policy networks are considered necessary for the pooling of resources to implement different policy instruments. However, such network diversity may increase network complexity and therefore hamper network performance. Network complexity may be reduced by network management and the provision of financial resources. This study examined whether network diversity - amidst the other conditions - is indeed needed to address environmental determinants of health behavior. We included 25 intersectoral policy networks in Dutch municipalities aimed at reducing overweight, smoking, and alcohol/drugs abuse. For our fuzzy set Qualitative Comparative Analysis we used data from three web-based surveys among (a) project leaders regarding network diversity and size (n = 38); (b) project leaders and project partners regarding management (n = 278); and (c) implementation professionals regarding types of environmental determinants addressed (n = 137). Data on budgets were retrieved from project application forms. Contrary to their intentions, most policy networks typically addressed personal determinants. If the environment was addressed too, it was mostly the social environment. To address environmental determinants of health behavior, network diversity (>50% of the actors are non-public health) was necessary in networks that were either small (<16 actors) or had small budgets (<€183,172), when both were intensively managed. Irrespective of network diversity, environmental determinants also were addressed by small networks with large budgets, and by large networks with small budgets, when both provided network management. We conclude that network diversity is important - although not necessary - for resource pooling to address environmental determinants of health behavior, but only effective in the presence of network management. Our findings may support intersectoral policy networks in improving health behaviors by addressing a variety of environmental determinants.

The unintended consequences of community verifications for performance-based financing in Burkina Faso.

Performance-based financing (PBF) is being widely implemented to improve healthcare services in Africa. An essential component of PBF involves conducting community verifications, wherein investigators from local associations attempt to trace samples of patients. Community surveys are administered to patients to verify whether healthcare workers reported fictitious services to increase their revenue. At the same time, client satisfaction surveys are administered to assess whether patients are satisfied with the services received. Although some global health actors are concerned that PBF can trigger unintended consequences, this topic remains neglected. The objective of this study was to document the unintended consequences of community verification. Guided by the diffusion of innovations theory, we conducted a multiple case study. The cases were the catchment areas of seven healthcare facilities in Burkina Faso. Data were collected between January 2016 and May 2016 using non-participant observation, 92 semi-structured interviews, and informal discussions. Participants included a wide range of stakeholders, such as community verifiers, investigators, patients, and healthcare providers. Data were coded using QDA Miner, and thematic analysis was conducted. Healthcare workers did not significantly disturb or try to influence community verifiers during patient selection for community verifications. Unintended consequences included stakeholders' dissatisfaction regarding compensation modalities, work overload for community verifiers, and falsification of verification data by investigators. Community verifications led to loss of patient confidentiality as well as fears and apprehensions, although some patients were pleased to share their views regarding healthcare services. Community verifications also triggered marital issues, resulting in conflicts with, or interference from, husbands. The numerous challenges associated with locating patients in their communities led stakeholders to question the validity and utility of the results. These unintended consequences could jeopardize the overall effectiveness of community verifications. Attention should be paid to these unintended consequences to inform effective implementation and refine future interventions.

Improving healthcare value through clinical community and supply chain collaboration.

BACKGROUND: We hypothesized that integrating supply chain with clinical communities would allow for clinician-led supply cost reduction and improved value in an academic health system. METHODS: Three clinical communities (spine, joint, blood management) and one clinical community-like physician led team of surgeon stakeholders partnered with the supply chain team on specific supply cost initiatives. The teams reviewed their specific utilization and cost data, and the physicians led consensus-building conversations over a series of team meetings to agree to standard supply utilization. RESULTS: The spine and joint clinical communities each agreed upon a vendor capping model that led to cost savings of $3 million dollars and $1.5 million dollars respectively. The blood management decreased blood product utilization and achieved $1.2 million dollars savings. $5.6 million dollars in savings was achieved by a clinical community-like group of surgeon stakeholders through standardization of sutures and endomechanicals. CONCLUSIONS: Physician led clinical teams empowered to lead change achieved substantial supply chain cost savings in an academic health system. The model of combining clinical communities with supply chain offers hope for an effective, practical, and scalable approach to improving value and engaging physicians in other academic health systems. IMPLICATIONS: This clinician led model could benefit both private and academic health systems engaging in value optimization efforts. LEVEL OF EVIDENCE: N/A.

Cost-effectiveness analysis of the national implementation of integrated community case management and community-based health planning and services in Ghana for the treatment of malaria, diarrhoea and pneumonia.

BACKGROUND: Ghana has developed two main community-based strategies that aim to increase access to quality treatment for malaria, diarrhoea and suspected pneumonia: the integrated community case management (iCCM) and the community-based health planning and services (CHPS). The aim of the study was to assess the cost-effectiveness of these strategies under programme conditions. METHODS: A cost-effectiveness analysis was conducted. Appropriate diagnosis and treatment given was the effectiveness measure used. Appropriate diagnosis and treatment data was obtained from a household survey conducted 2 and 8 years after implementation of iCCM in the Volta and Northern Regions of Ghana, respectively. The study population was carers of children under-5 years who had fever, diarrhoea and/or cough in the last 2 weeks prior to the interview. Costs data was obtained mainly from the National Malaria Control Programme (NMCP), the Ministry of Health, CHPS compounds and from a household survey. RESULTS: Appropriate diagnosis and treatment of malaria, diarrhoea and suspected pneumonia was more cost-effective under the iCCM than under CHPS in the Volta Region, even after adjusting for different discount rates, facility costs and iCCM and CHPS utilization, but not when iCCM appropriate treatment was reduced by 50%. Due to low numbers of carers visiting a CBA in the Northern Region it was not possible to conduct a cost-effectiveness analysis in this region. However, the cost analysis showed that iCCM in the Northern Region had higher cost per malaria, diarrhoea and suspected pneumonia case diagnosed and treated when compared to the Volta Region and to the CHPS strategy in the Northern Region. CONCLUSIONS: Integrated community case management was more cost-effective than CHPS for the treatment of malaria, diarrhoea and suspected pneumonia when utilized by carers of children under-5 years in the Volta Region. A revision of the iCCM strategy in the Northern Region is needed to improve its cost-effectiveness. Long-term financing strategies should be explored including potential inclusion in the National Health Insurance Scheme (NHIS) benefit package. An acceptability study of including iCCM in the NHIS should be conducted.

Building the patient community.

There are many challenges in conducting rare disease research. The conditions are often poorly understood, small patient populations are dispersed around the world, and there are limited funding opportunities. Patient groups can serve as a key partner in overcoming these challenges, as they understand the impact of rare conditions on patients' lives. This gives patient groups valuable scientific insights into the disease. This can be used to create research strategies, address research bottlenecks and directly fund research that appropriately addresses patient needs. Patient groups can also play a critical role in recruiting and retaining patients for clinical trials, which reduces time and resource waste. By partnering with patient groups, research teams can improve efficiency of research and best meet the needs of patients. Researchers can also play an important role in building and supporting patient groups to unlock these benefits.