Adults with diabetes residing in "food swamps" have higher hospitalization rates.

ObjectiveTo examine the relationship between food swamps and hospitalization rates among adults with diabetes.Data sourcesBlue Cross Blue Shield Association Community Health Management Hub® 2014, AHRQ Health Care Cost and Utilization Project state inpatient databases 2014, and HHS Area Health Resources File 2010-2014.Study designCross-sectional analysis of 784 counties across 15 states. Food swamps were measured using a ratio of fast food outlets to grocers. Multivariate linear regression estimated the association of food swamp severity and hospitalization rates. Population-weighted models were controlled for comorbidities; Medicaid; emergency room utilization; percentage of population that is female, Black, Hispanic, and over age 65; and state fixed effects. Analyses were stratified by rural-urban category.Principal findingsAdults with diabetes residing in more severe food swamps had higher hospitalization rates. In adjusted analyses, a one unit higher food swamp score was significantly associated with 49.79 (95 percent confidence interval (CI) = 19.28, 80.29) additional all-cause hospitalizations and 19.12 (95 percent CI = 11.09, 27.15) additional ambulatory care-sensitive hospitalizations per 1000 adults with diabetes. The food swamp/all-cause hospitalization rate relationship was stronger in rural counties than urban counties.ConclusionsFood swamps are significantly associated with higher hospitalization rates among adults with diabetes. Improving the local food environment may help reduce this disparity

Electronic health information exchange in underserved settings: examining initiatives in small physician practices & community health centers.

BackgroundHealth information exchange (HIE) is an important tool for improving efficiency and quality and is required for providers to meet Meaningful Use certification from the United States Centers for Medicare and Medicaid Services. However widespread adoption and use of HIE has been difficult to achieve, especially in settings such as smaller-sized physician practices and federally qualified health centers (FQHCs). We assess electronic data exchange activities and identify barriers and benefits to HIE participation in two underserved settings.MethodsWe conducted key-informant interviews with stakeholders at physician practices and health centers. Interviews were recorded, transcribed, and then coded in two waves: first using an open-coding approach and second using selective coding to identify themes that emerged across interviews, including barriers and facilitators to HIE adoption and use.ResultsWe interviewed 24 providers, administrators and office staff from 16 locations in two states. They identified barriers to HIE use at three levels-regional (e.g., lack of area-level exchanges; partner organizations), inter-organizational (e.g., strong relationships with exchange partners; achieving a critical mass of users), and intra-organizational (e.g., type of electronic medical record used; integration into organization's workflow). A major perceived benefit of HIE use was the improved care-coordination clinicians could provide to patients as a direct result of the HIE information. Utilization and perceived benefit of the exchange systems differed based on several practice- and clinic-level factors.ConclusionsThe adoption and use of HIE in underserved settings appears to be impeded by regional, inter-organizational, and intra-organizational factors and facilitated by perceived benefits largely at the intra-organizational level. Stakeholders should consider factors both internal and external to their organization, focusing efforts in changing modifiable factors and tailoring HIE efforts based on all three categories of factors. Collective action between organizations may be needed to address inter-organizational and regional barriers. In the interest of facilitating HIE adoption and use, the impact of interventions at various levels on improving the use of electronic health data exchange should be tested

Multi-Sectoral Partnerships and Patient-Engagement Strategies in Accountable Care Organizations

Background: Patient-engagement strategies are increasingly recognized for enriching traditional medical care and improving population health. Accountable Care Organizations (ACOs) may be well positioned to leverage multi-sector organizational partnerships to improve the reach of their patient-engagement strategies, particularly given incentives to meet cost, quality and population health goals. Little is currently known about the relation of multi-sector partnerships and patient engagement in ACOs. Purpose: To examine the relation of patient-engagement strategies and breadth of multi-sectoral organizational partnerships in 71 primary care practices affiliated with one of two ACOs. Methods: Clinical and administrative leaders from each practice were surveyed. Questions assessed practice use of 12 different partnership sectors and the adoption of 14 patient-engagement strategies. Bivariate tests examined associations between patient-engagement strategies and practice use of partnership sectors. Multivariate linear regression estimated the extent to which practices with a greater number of multi-sector organizational partnerships had greater adoption of patient-engagement strategies. Results: Practices reported partnering with a mean of 3.2 (standard deviation, SD= 2.1) out of 12 sectors and implementing a mean of 7.1 (SD=3.4) out of 14 patient-engagement strategies. Each additional type of multi-sector partnership was associated with greater adoption of patient-engagement strategies (β = 0.59, 95% CI = 0.23–0.95, for all partnerships and β = 0.92, 95% CI = 0.42–1.43, when restricted to nonmedical partnerships) Implications: Practices with a greater breadth of multi-sector partnerships, particularly nonmedical partnerships, use a wider range of strategies to engage patients in their own care

Local Health Department Collaborative Capacity to Improve Population Health

Local health departments (LHDs) can more effectively develop and strengthen community health partnerships when leaders focus on building partnership collaborative capacity (PCC), including a multisector infrastructure for population health improvement. Using the 2008 National Association of County and City Health Officials (NACCHO) Profile survey, we constructed an overall measure of LHD PCC comprised of the five dimensions: outcomes-based advocacy, vision-focus balance, systems orientation, infrastructure development, and community linkages. We conducted a series of regression analyses to examine the extent to which LHD characteristics and contextual factors were related to PCC. The most developed PCC dimension was vision-focus balance, while infrastructure development and community linkages were the least developed. In multivariate analyses, LHDs that were locally governed (rather than governed by the state), LHDs without local boards of health, and LHDs providing a wider range of clinical services had greater overall PCC. LHDs serving counties with higher uninsurance rates had lower overall PCC. LHDs with lower per capita expenditures had less developed partnership infrastructure. LHD discontinuation of clinical services may result in an erosion of collaborative capacity unless LHD partnerships also shift their foci from services delivery to population health improvement

Decision Aid Implementation and Patients' Preferences for Hip and Knee Osteoarthritis Treatment: Insights from the High Value Healthcare Collaborative.

Background:Shared decision making (SDM) research has emphasized the role of decision aids (DAs) for helping patients make treatment decisions reflective of their preferences, yet there have been few collaborative multi-institutional efforts to integrate DAs in orthopedic consultations and primary care encounters. Objective:In the context of routine DA implementation for SDM, we investigate which patient-level characteristics are associated with patient preferences for surgery versus medical management before and after exposure to DAs. We explored whether DA implementation in primary care encounters was associated with greater shifts in patients' treatment preferences after exposure to DAs compared to DA implementation in orthopedic consultations. Design:Retrospective cohort study. Setting:10 High Value Healthcare Collaborative (HVHC) health systems. Study participants:A total of 495 hip and 1343 adult knee osteoarthritis patients who were exposed to DAs within HVHC systems between July 2012 to June 2015. Results:Nearly 20% of knee patients and 17% of hip patients remained uncertain about their treatment preferences after viewing DAs. Older patients and patients with high pain levels had an increased preference for surgery. Older patients receiving DAs from three HVHC systems that transitioned DA implementation from orthopedics into primary care had lower odds of preferring surgery after DA exposure compared to older patients in seven HVHC systems that only implemented DAs for orthopedic consultations. Conclusion:Patients' treatment preferences were largely stable over time, highlighting that DAs for SDM largely do not necessarily shift preferences. DAs and SDM processes should be targeted at older adults and patients reporting high pain levels. Initiating treatment conversations in primary versus specialty care settings may also have important implications for engagement of patients in SDM via DAs

Evaluating the Impact of an Accountable Care Organization on Population Health: The Quasi-Experimental Design of the German Gesundes Kinzigtal.

A central goal of accountable care organizations (ACOs) is to improve the health of their accountable population. No evidence currently links ACO development to improved population health. A major challenge to establishing the evidence base for the impact of ACOs on population health is the absence of a theoretically grounded, robust, operationally feasible, and meaningful research design. The authors present an evaluation study design, provide an empirical example, and discuss considerations for generating the evidence base for ACO implementation. A quasi-experimental study design using propensity score matching in combination with small-scale exact matching is implemented. Outcome indicators based on claims data were constructed and analyzed. Population health is measured by using a range of mortality indicators: mortality ratio, age at time of death, years of potential life lost/gained, and survival time. The application is assessed using longitudinal data from Gesundes Kinzigtal, one of the leading population-based ACOs in Germany. The proposed matching approach resulted in a balanced control of observable differences between the intervention (ACO) and control groups. The mortality indicators used indicate positive results. For example, 635.6 fewer years of potential life lost (2005.8 vs. 2641.4; t-test: sig. P < 0.05*) in the ACO intervention group (n = 5411) attributable to the ACO, also after controlling for a potential (indirect) immortal time bias by excluding the first half year after enrollment from the outcome measurement. This empirical example of the impact of a German ACO on population health can be extended to the evaluation of ACOs and other integrated delivery models of care

Is off-pump superior to conventional coronary artery bypass grafting in diabetic patients with multivessel disease?

Objective: Diabetic patients often present with diffuse coronary disease than nondiabetic patients posing a greater surgical challenge during off-pump revascularization. In this study, the safety, feasibility, and completeness of revascularization for this subset of patients was assessed. Methods: From 2002 to 2008, 1015 diabetic patients underwent myocardial revascularization. Patients received either off-pump coronary artery bypass (OPCAB; n=540; 53%) or coronary artery bypass grafting (CABG; n=475; 47%). Data collection was performed prospectively and data analysis was done by propensity-score (PS)-adjusted regression analysis. Primary endpoints were mortality, major adverse cardiac and cerebrovascular events (MACCEs), and a composite endpoint including major noncardiac adverse events (MNCAEs) such as respiratory failure, renal failure, and rethoracotomy for bleeding was applied. An index of complete revascularization (ICOR) was defined to assess complete revascularization by dividing the total number of distal anastomoses by the number of diseased vessels. Complete revascularization was assumed when ICOR was >1. Results: OPCAB patients had a significantly lower mortality-rate (1.1% vs 3.8%; propensity-adjusted odds ratio (PAOR)=0.11; p=0.018) and displayed less frequent MACCE (8.3% vs 17.9%; PAOR=0.66; p=0.07) including myocardial infarction (1.3% vs 3.2%; PAOR=0.33; p=0.06) and stroke (0.7% vs 2.3%; PAOR=0.28; p=0.13). Similarly, a significantly lower occurrence of the noncardiac composite endpoint (MNCAE) (PAOR=0.46; confidence interval (CI) 95% 0.35-0.91; p1 was achieved clearly indicating complete revascularization (94.3% vs 93.7%; p=0.24). Conclusions: OPCAB offers a lower mortality and superior postoperative outcomes in diabetic patients with multivessel disease. Arterial grafts are used more frequently that may contribute to better long-term outcomes and the OPCAB approach does not come at the cost of less complete revascularizatio

Comparing the implementation of team approaches for improving diabetes care in community health centers

Background: Patient panel management and community-based care management may be viable strategies for community health centers to improve the quality of diabetes care for vulnerable patient populations. The objective of our study was to clarify implementation processes and experiences of integrating office-based medical assistant (MA) panel management and community health worker (CHW) community-based management into routine care for diabetic patients. Methods: Mixed methods study with interviews and surveys of clinicians and staff participating in a study comparing the effectiveness of MA and CHW health coaching for improving diabetes care. Participants included 24 key informants in five role categories and 249 clinicians and staff survey respondents from 14 participating practices. We conducted thematic analyses of key informant interview transcripts to clarify implementation processes and describe barriers to integrating the new roles into practice. We surveyed clinicians and staff to assess differences in practice culture among intervention and control groups. We triangulated findings to identify concordant and disparate results across data sources. Results: Implementation processes and experiences varied considerably among the practices implementing CHW and MA team-based approaches, resulting in differences in the organization of health coaching and self-management support activities. Importantly, CHW and MA responsibilities converged over time to focus on health coaching of diabetic patients. MA health coaches experienced difficulty in allocating dedicated time due to other MA responsibilities that often crowded out time for diabetic patient health coaching. Time constraints also limited the personal introduction of patients to health coaches by clinicians. Participants highlighted the importance of a supportive team climate and proactive leadership as important enablers for MAs and CHWs to implement their health coaching responsibilities and also promoted professional growth. Conclusion: Implementation of team-based strategies to improve diabetes care for vulnerable populations was diverse, however all practices converged in their foci on health coaching roles of CHWs and MAs. Our study suggests that a flexible approach to implementing health coaching is more important than fidelity to rigid models that do not allow for variable allocation of responsibilities across team members. Clinicians play an instrumental role in supporting health coaches to grow into their new patient care responsibilities

In-vivo, cardiac-cycle related intimal displacement of coronary plaques assessed by 3-D ECG-gated intravascular ultrasound: Exploring its correlate with tissue deformability identified by palpography

Background: ECG-gated image acquisition of intravascular ultrasound (IVUS) has been shown to provide more accurate measurements at different phases of the cardiac cycle. Objective: We sought to explore the ability dynamic assessment of ECG-gated 3-D IVUS to identify deformable regions of coronary plaques, by testing the hypothesis that at a given pressure and region, a faster displacement of the intima would correspond to high strain (soft tissue) regions assessed by palpography. Methods: ECG-gated 3-D IVUS and palpograms were acquired using 30 and 20 MHz IVUS imaging catheters respectively. Frames with high and/or low strain spots identified by palpography were randomly selected and the spots were assigned to a respective quadrant within the cross section. A color-blinded side-by-side view was performed to enable the co-localization of the same region. Subsequently, the pressure driven displacement of the intima was established for each quadrant and a binary score (significant displacement or no displacement) was decided. Results: One hundred and twenty-four quadrants were studied and the prevalence of highly deformable quadrants was low (n=7, 5.6% of the total). The sensitivity, specificity, positive predictive value and negative predictive value of 3-D ECG-gated IVUS to detect deformable quadrants as assessed by palpography were 42.9, 87.2, 16.7, and 96.2% respectively. Conclusion: In this pilot in vivo study, the intimal displacement velocity in the radial direction assessed by gray-scale 3-D ECG-gated IVUS failed to correlate with highly deformable regions. However, these preliminary findings suggest that the absence of significant displacement of the intima might be accurate to predict the absence of deformable tissue