Resilience in childhood vaccination: analysing delivery system responses to shocks in Lebanon.

INTRODUCTION: Despite rapidly growing academic and policy interest in health system resilience, the empirical literature on this topic remains small and focused on macrolevel effects arising from single shocks. To better understand health system responses to multiple shocks, we conducted an in-depth case study using qualitative system dynamics. We focused on routine childhood vaccination delivery in Lebanon in the context of at least three shocks overlapping to varying degrees in space and time: large-scale refugee arrivals from neighbouring Syria; COVID-19; and an economic crisis. METHODS: Semistructured interviews were performed with 38 stakeholders working at different levels in the system. Interview transcripts were analysed using purposive text analysis to generate individual stakeholder causal loop diagrams (CLDs) mapping out relationships between system variables contributing to changes in coverage for routine antigens over time. These were then combined using a stepwise process to produce an aggregated CLD. The aggregated CLD was validated using a reserve set of interview transcripts. RESULTS: Various system responses to shocks were identified, including demand promotion measures such as scaling-up community engagement activities and policy changes to reduce the cost of vaccination to service users, and supply side responses including donor funding mobilisation, diversification of service delivery models and cold chain strengthening. Some systemic changes were introduced-particularly in response to refugee arrivals-including task-shifting to nurse-led vaccine administration. Potentially transformative change was seen in the integration of private sector clinics to support vaccination delivery and depended on both demand side and supply side changes. Some resilience-promoting measures introduced following earlier shocks paradoxically increased vulnerability to later ones. CONCLUSION: Flexibility in financing and human resource allocation appear key for system resilience regardless of the shock. System dynamics offers a promising method for ex ante modelling of ostensibly resilience-strengthening interventions under different shock scenarios, to identify-and safeguard against-unintended consequences.

Using System Dynamics to Understand Transnational Corporate Power in Diet-Related Non-communicable Disease Prevention Policy-Making: A Case Study of South Africa.

BACKGROUND: Complex interactions between political economy factors and corporate power are increasingly recognized to prevent transformative policy action on non-communicable disease (NCD) prevention. System science offers promising methods for analysing such causal complexity. This study uses qualitative system dynamics methods to map the political economy of diet-related NCD (DR-NCD) prevention policy-making aiming to better understand the policy inertia observed in this area globally. METHODS: We interviewed 25 key policy actors. We analysed the interviews using purposive text analysis (PTA). We developed individual then combined casual loop diagrams to generate a shared model representing the DR-NCD prevention policy-making system. Key variables/linkages identified from the literature were also included in the model. We validated the model in several steps including through stakeholder validation interviews. RESULTS: We identified several inter-linked feedback processes related to political economy factors that may entrench different forms of corporate power (instrumental, structural, and discursive) in DR-NCD prevention policy-making in South Africa over time. We also identified a number of feedback processes that have the potential to limit corporate power in this setting. CONCLUSION: Using complex system methods can be useful for more deeply understanding DR-NCD policy inertia. It is also useful for identifying potential leverage points within the system which may shift the existing power dynamics to facilitate greater political commitment for healthy, equitable, and sustainable food system transformation.

A Process Evaluation of Primary Care Behavioral Health Integration in the Military Health System.

Behavioral health (BH) problems are common in the military and can adversely affect force readiness. Research suggests that primary care-behavioral health (PCBH) integration can improve BH outcomes by making high-quality BH care available in more accessible settings. However, sustaining high-quality implementation of PCBH is challenging. The authors conducted a process evaluation of the PCBH program in the military health system to understand why the program is working as it is and provide recommendations for quality improvement. They conducted semistructured interviews, rigorously coded the qualitative data to identify causal links, and created and validated causal loop diagrams that provide a visualization of how the system is working. Findings fall into four key areas: staffing and capabilities, valued tasks, program stewardship, and fostering program awareness and support. Overall, the authors found that the PCBH program is highly valued by primary care staff. However, the PCBH care model is inconsistently adhered to, owing to a combination of staff preferences, local pressures, and lack of knowledge of PCBH staff roles. Recommendations are offered to improve program implementation.

Health Services and Primary Care Research Study: Comprehensive Report.

This study presents the results of a congressionally mandated, independent assessment of federally funded health services research (HSR) and primary care research (PCR) spanning the U.S. Department of Health and Human Services (HHS) and U.S. Department of Veterans Affairs (VA) from FYs 2012 to 2018. Through technical expert panels, stakeholder interviews, and a systematic environmental scan of research grants and contracts funded by HHS and the VA, the authors characterize the distinct contributions of agencies in these departments to the federal HSR and PCR enterprise. The authors also identify opportunities to improve detection and coordination of overlap in agency research portfolios, the impacts of HSR and PCR and how they cumulate across research portfolios, and gaps in research funding, methods, and dissemination. The authors offer recommendations to maximize the outcomes and value of future investments in federal HSR and PCR to better guide and serve the needs of a complex and rapidly changing U.S. health care system.

Conceptualising and assessing health system resilience to shocks: a cross-disciplinary view.

Health systems worldwide face major challenges in anticipating, planning for and responding to shocks from infectious disease epidemics, armed conflict, climatic and other crises. Although the literature on health system resilience has grown substantially in recent years, major uncertainties remain concerning approaches to resilience conceptualisation and measurement. This narrative review revisits literatures from a range of fields outside health to identify lessons relevant to health systems. Four key insights emerge. Firstly, shocks can only be understood by clarifying how, where and over what timescale they interact with a system of interest, and the dynamic effects they produce within it. Shock effects are contingent on historical path-dependencies, and on the presence of factors or system pathways (e.g. financing models, health workforce capabilities or supply chain designs) that may amplify or dampen impact in unexpected ways. Secondly, shocks often produce cascading effects across multiple scales, whereas the focus of much of the health resilience literature has been on macro-level, national systems. In reality, health systems bring together interconnected sub-systems across sectors and geographies, with different components, behaviours and sometimes even objectives - all influencing how a system responds to a shock. Thirdly, transformability is an integral feature of resilient social systems: cross-scale interactions help explain how systems can show both resilience and transformational capability at the same time. We illustrate these first three findings by extending the socioecological concept of adaptive cycles in social systems to health, using the example of maternal and child health service delivery. Finally, we argue that dynamic modelling approaches, under-utilised in research on health system resilience to date, have significant promise for identification of shock-moderating or shock-amplifying pathways, for understanding effects at multiple levels and ultimately for building resilience.

Development and testing of the Stakeholder Quality Improvement Perspectives Survey (SQuIPS).

BACKGROUND: To create a theory-informed survey that quality improvement (QI) teams can use to understand stakeholder perceptions of an intervention. METHOD: We created the survey then performed a cross-sectional survey of QI stakeholders of three QI projects. The projects sought to: (1) reduce unplanned extubations in a neonatal intensive care unit; (2) maintain normothermia during colorectal surgery and (3) reduce specimen processing errors for ambulatory gastroenterology procedures. We report frequencies of responses to survey items, results of exploratory factor analysis, and how QI team leaders used the results. RESULTS: Overall we received surveys from 319 out of 386 eligible stakeholders (83% response rate, range for the three QI projects 57%-86%). The QI teams found that the survey results confirmed existing concerns (eg, the intervention would not make work easier) and revealed unforeseen concerns such as lack of consensus about the overall purpose of the intervention and its importance. The results of our factor analysis indicate that one 7-item scale (Cronbach's alpha 0.9) can efficiently measure important aspects of stakeholder perceptions, and that two additional Likert-type items could add valuable information for leaders. Two QI team leaders made changes to their project based on survey responses that indicated the intervention made stakeholders' jobs harder, and that there was no consensus about the purpose of the intervention. CONCLUSIONS: The Stakeholder Quality Improvement Perspectives Survey was feasible for QI teams to use, and identified stakeholder perspectives about QI interventions that leaders used to alter their QI interventions to potentially increase the likelihood of stakeholder acceptance of the intervention.

Understanding the maternal and child health system response to payment for performance in Tanzania using a causal loop diagram approach.

Payment for performance (P4P) has been employed in low and middle-income (LMIC) countries to improve quality and coverage of maternal and child health (MCH) services. However, there is a lack of consensus on how P4P affects health systems. There is a need to evaluate P4P effects on health systems using methods suitable for evaluating complex systems. We developed a causal loop diagram (CLD) to further understand the pathways to impact of P4P on delivery and uptake of MCH services in Tanzania. The CLD was developed and validated using qualitative data from a process evaluation of a P4P scheme in Tanzania, with additional stakeholder dialogue sought to strengthen confidence in the diagram. The CLD maps the interacting mechanisms involved in provider achievement of targets, reporting of health information, and population care seeking, and identifies those mechanisms affected by P4P. For example, the availability of drugs and medical commodities impacts not only provider achievement of P4P targets but also demand of services and is impacted by P4P through the availability of additional facility resources and the incentivisation of district managers to reduce drug stock outs. The CLD also identifies mechanisms key to facility achievement of targets but are not within the scope of the programme; the activities of health facility governing committees and community health workers, for example, are key to demand stimulation and effective resource use at the facility level but both groups were omitted from the incentive system. P4P design considerations generated from this work include appropriately incentivising the availability of drugs and staffing in facilities and those responsible for demand creation in communities. Further research using CLDs to study heath systems in LMIC is urgently needed to further our understanding of how systems respond to interventions and how to strengthen systems to deliver better coverage and quality of care.

Practice Expenses Associated with Comprehensive Primary Care Capabilities.

Through the Comprehensive Primary Care (CPC) and Comprehensive Primary Care Plus (CPC+) programs, the Centers for Medicare & Medicaid Services (CMS) has encouraged primary care practices to invest in "comprehensive primary care" capabilities. Empirical evidence suggests these capabilities are under-reimbursed or not reimbursed under prevailing fee-for-service payment models. To help CMS design alternative payment models (APMs) that reimburse the costs of these capabilities, the authors developed a method for estimating related practice expenses. Fifty practices, sampled for diversity across CPC+ participation status, geographic region, rural status, size, and parent-organization affiliation, completed the study. Researchers developed a mixed-methods strategy, beginning with interviews of practice leaders to identify their capabilities and the types of costs incurred. This was followed by researcher-assisted completion of a workbook tailored to each practice, which gathered related labor and nonlabor costs. In a final interview, practice leaders reviewed cost estimates and made any needed corrections before approval. A main goal was to address a persistent question faced by CMS: When practices reported widely divergent costs for a given capability, was that divergence due to practices having different prices for the same capability or from their having substantially different capabilities? The cost estimation method developed in this project collected detailed data on practice capabilities and their costs. However, the small sample did not allow quantitative estimation of the contributions of service level and pricing to the variation in overall costs. This cost estimation method, deployed on a larger scale, could generate robust data to inform new payment models aimed at incentivizing and sustaining comprehensive primary care.

Evaluation of initial progress to implement Common Metrics across the NIH Clinical and Translational Science Awards (CTSA) Consortium.

INTRODUCTION: The Clinical and Translational Science Awards (CTSA) Consortium, about 60 National Institutes of Health (NIH)-supported CTSA hubs at academic health care institutions nationwide, is charged with improving the clinical and translational research enterprise. Together with the NIH National Center for Advancing Translational Sciences (NCATS), the Consortium implemented Common Metrics and a shared performance improvement framework. METHODS: Initial implementation across hubs was assessed using quantitative and qualitative methods over a 19-month period. The primary outcome was implementation of three Common Metrics and the performance improvement framework. Challenges and facilitators were elicited. RESULTS: Among 59 hubs with data, all began implementing Common Metrics, but about one-third had completed all activities for three metrics within the study period. The vast majority of hubs computed metric results and undertook activities to understand performance. Differences in completion appeared in developing and carrying out performance improvement plans. Seven key factors affected progress: hub size and resources, hub prior experience with performance management, alignment of local context with needs of the Common Metrics implementation, hub authority in the local institutional structure, hub engagement (including CTSA Principal Investigator involvement), stakeholder engagement, and attending training and coaching. CONCLUSIONS: Implementing Common Metrics and performance improvement in a large network of research-focused organizations proved feasible but required substantial time and resources. Considerable heterogeneity across hubs in data systems, existing processes and personnel, organizational structures, and local priorities of home institutions created disparate experiences across hubs. Future metric-based performance management initiatives across heterogeneous local contexts should anticipate and account for these types of differences.

Do common metrics add value? Perspectives from NIH Clinical and Translational Science Awards (CTSA) Consortium hubs.

INTRODUCTION: The Clinical and Translational Science Awards (CTSA) Consortium, a network of academic health care institutions with CTSA hubs, is charged with improving the national clinical and translational research enterprise. The CTSA Consortium and the NIH National Center for Advancing Translational Sciences implemented the Common Metrics Initiative comprised of standardized metrics and a shared performance improvement framework. This article summarizes hubs' perspectives on its value during the initial implementation. METHODS: The value was assessed across 58 hubs. Survey items assessed change in perceived ability to manage performance and advance clinical and translational science. Semi-structured interviews elicited hubs' perspectives on meaningfulness and value-added of the Common Metrics Initiative and hubs' recommendations. RESULTS: Hubs considered their abilities to manage performance to have improved, but there was no change in perceived ability to advance clinical and translational science. The initiative added value by providing a formal structured process, enabling strategic conversations, facilitating improvements in processes, providing an external impetus for improvement, and providing justification for funds invested. Hubs were concerned about the usefulness of the metrics chosen and whether the value-added was sufficient relative to the effort required. Hubs recommended useful benchmarking, disseminating best practices and promoting peer-to-peer learning, and expanding the use of data to inform the initiative. CONCLUSIONS: Implementing Common Metrics and a performance improvement framework yielded concrete short-term benefits, but concerns about usefulness remained, particularly considering the effort required. The Common Metrics Initiative should focus on facilitating cross-hub collaboration around metrics that address high-priority impact areas for individual hubs and the Consortium.

Implementation of Care Management: An Analysis of Recent AHRQ Research.

Care management (CM) is a promising team-based, patient-centered approach "designed to assist patients and their support systems in managing medical conditions more effectively." As little is known about its implementation, this article describes CM implementation and associated lessons from 12 Agency for Healthcare Research and Quality-sponsored projects. Two rounds of data collection resulted in project-specific narratives that were analyzed using an iterative approach analogous to framework analysis. Informants also participated as coauthors. Variation emerged across practices and over time regarding CM services provided, personnel delivering these services, target populations, and setting(s). Successful implementation was characterized by resource availability (both monetary and nonmonetary), identifying as well as training employees with the right technical expertise and interpersonal skills, and embedding CM within practices. Our findings facilitate future context-specific implementation of CM within medical homes. They also inform the development of medical home recognition programs that anticipate and allow for contextual variation.

Impact of an integrated transition management program in primary care on hospital readmissions.

Poorly executed transitions in care from hospital to home are associated with increased vulnerability to adverse medication events and hospital readmissions, and also excess healthcare costs. Efforts to improve care coordination on hospital discharge have been shown to reduce hospital readmission rates but often rely on interventions that are not fully integrated within the primary care setting. The Patient Centered Medical Home (PCMH) model, whose core principles include care coordination in the posthospital setting, is an approach that addresses transitions in care in a more integrated fashion. We examined the impact of multicomponent transition management (TM) services on hospital readmission rates and time to hospital readmission among 118 patients enrolled in a TM program that is part of Care By Design, the University of Utah Community Clinics' version of the PCMH. We conducted a retrospective analysis comparing outcomes for patients before receiving TM services with outcomes for the same patients after receiving TM services. The all-cause 30-day hospital readmission rate decreased from 17.9% to 8.0%, and the mean time to hospital readmission within 180 days was delayed from 95 to 115 days. These findings support the effectiveness of TM activities integrated within the primary care setting.

Organizational culture associated with provider satisfaction.

BACKGROUND: Organizational culture is key to the successful implementation of major improvement strategies. Transformation to a patient-centered medical home (PCHM) is such an improvement strategy, requiring a shift from provider-centric care to team-based care. Because this shift may impact provider satisfaction, it is important to understand the relationship between provider satisfaction and organizational culture, specifically in the context of practices that have transformed to a PCMH model. METHODS: This was a cross-sectional study of surveys conducted in 2011 among providers and staff in 10 primary care clinics implementing their version of a PCMH: Care by Design. Measures included the Organizational Culture Assessment Instrument and the American Medical Group Association provider satisfaction survey. RESULTS: Providers were most satisfied with quality of care (mean, 4.14; scale of 1-5) and interactions with patients (mean, 4.12) and were least satisfied with time spent working (mean, 3.47), paperwork (mean, 3.45), and compensation (mean, 3.35). Culture profiles differed across clinics, with family/clan and hierarchical cultures the most common. Significant correlations (P ≤ .05) between provider satisfaction and clinic culture archetypes included family/clan culture negatively correlated with administrative work; entrepreneurial culture positively correlated with the Time Spent Working dimension; market/rational culture positively correlated with how practices were facing economic and strategic challenges; and hierarchical culture negatively correlated with the Relationships with Staff and Resource dimensions. CONCLUSIONS: Provider satisfaction is an important metric for assessing experiences with features of a PCMH model. Identification of clinic-specific culture archetypes and archetype associations with provider satisfaction can help inform practice redesign. Attention to effective methods for changing organizational culture is recommended.

Connecting the dots and merging meaning: using mixed methods to study primary care delivery transformation.

OBJECTIVE: To demonstrate the value of mixed methods in the study of practice transformation and illustrate procedures for connecting methods and for merging findings to enhance the meaning derived. DATA SOURCE/STUDY SETTING: An integrated network of university-owned, primary care practices at the University of Utah (Community Clinics or CCs). CC has adopted Care by Design, its version of the Patient Centered Medical Home. STUDY DESIGN: Convergent case study mixed methods design. DATA COLLECTION/EXTRACTION METHODS: Analysis of archival documents, internal operational reports, in-clinic observations, chart audits, surveys, semistructured interviews, focus groups, Centers for Medicare and Medicaid Services database, and the Utah All Payer Claims Database. PRINCIPAL FINDINGS: Each data source enriched our understanding of the change process and understanding of reasons that certain changes were more difficult than others both in general and for particular clinics. Mixed methods enabled generation and testing of hypotheses about change and led to a comprehensive understanding of practice change. CONCLUSIONS: Mixed methods are useful in studying practice transformation. Challenges exist but can be overcome with careful planning and persistence.

Context matters: the experience of 14 research teams in systematically reporting contextual factors important for practice change.

PURPOSE: We aimed to advance the internal and external validity of research by sharing our empirical experience and recommendations for systematically reporting contextual factors. METHODS: Fourteen teams conducting research on primary care practice transformation retrospectively considered contextual factors important to interpreting their findings (internal validity) and transporting or reinventing their findings in other settings/situations (external validity). Each team provided a table or list of important contextual factors and interpretive text included as appendices to the articles in this supplement. Team members identified the most important contextual factors for their studies. We grouped the findings thematically and developed recommendations for reporting context. RESULTS: The most important contextual factors sorted into 5 domains: (1) the practice setting, (2) the larger organization, (3) the external environment, (4) implementation pathway, and (5) the motivation for implementation. To understand context, investigators recommend (1) engaging diverse perspectives and data sources, (2) considering multiple levels, (3) evaluating history and evolution over time, (4) looking at formal and informal systems and culture, and (5) assessing the (often nonlinear) interactions between contextual factors and both the process and outcome of studies. We include a template with tabular and interpretive elements to help study teams engage research participants in reporting relevant context. CONCLUSIONS: These findings demonstrate the feasibility and potential utility of identifying and reporting contextual factors. Involving diverse stakeholders in assessing context at multiple stages of the research process, examining their association with outcomes, and consistently reporting critical contextual factors are important challenges for a field interested in improving the internal and external validity and impact of health care research.

Quality, satisfaction, and financial efficiency associated with elements of primary care practice transformation: preliminary findings.

PURPOSE: We examined quality, satisfaction, financial, and productivity outcomes associated with implementation of Care by Design (CBD), the University of Utah's version of the patient-centered medical home. METHODS: We measured the implementation of individual elements of CBD using a combination of observation, chart audit, and collection of data from operational reports. We assessed correlations between level of implementation of each element and measures of quality, patient and clinician satisfaction, financial performance, and efficiency. RESULTS: Team function elements had positive correlations (P ≤.05) with 6 quality measures, 4 patient satisfaction measure, and 3 clinician satisfaction measures. Continuity elements had positive correlations with 2 satisfaction measures and 1 quality measure. Clinician continuity was the key driver in the composite element of appropriate access. Unexpected findings included the negative correlation of use of templated questionnaires with 3 patient satisfaction measures. Trade-offs were observed for performance of blood draws in the examination room and the efficiency of visits, with some positive and some negative correlations depending on the outcome. CONCLUSIONS: Elements related to care teams and continuity appear to be key elements of CBD as they influence all 3 CBD organizing principles: appropriate access, care teams, and planned care. These relationships, as well as unexpected, unfavorable ones, require further study and refined analyses to identify causal associations.

Adsorption kinetics of some carotenoids at the oil/water interface.

The kinetic analysis of the adsorption of two carotenoids (i.e., ethyl ester of beta-apo-8'-carotenoic acid and beta-carotene, all trans-isomers) from n-hexane solutions at the oil/water interface is presented for several carotenoid concentrations in the oil phase. A new kinetic approach is developed and it addresses the diffusion adsorption associated with a reversible interfacial reaction, which describes the reorientation of surfactant molecules between two conformations. This approach leads to a general analytical expression that contains four physical parameters and describes with high accuracy the experimental dynamic interfacial tensions for the two carotenoids, which independently adsorb from n-hexane phase to the n-hexane/water interface. The calculations give the characteristic times for the carotenoid adsorption at the oil/water interface in terms of diffusion relaxation and kinetic relaxation times. The results explain the long time effects on the adsorption of these carotenoids at the oil/water interface. The data are in substantial agreement with the molecular structure of these carotenoids and with the earlier data recorded for cholesterol adsorption at the n-heptane/water interface. Based on these findings, we propose a molecular mechanism for the interfacial transformation of carotenoid molecules at a hydrophobic/hydrophilic interface.

Current status of thalidomide and its role in the treatment of metastatic prostate cancer.

Following the discovery of its anti-angiogenic properties and despite its tragic history, thalidomide has re-surfaced in the field of oncology. Concurrent with its evaluation in various clinical trials for cancer, thalidomide's mechanism of action is sought and new analogues with improved efficacy and pharmacological profile are emerging. This review is a critical evaluation of thalidomide metabolism, molecular targets, anti-angiogenic activity and clinical efficacy with an emphasis on metastatic prostate cancer.