Search

Abstract Background To assess the quality of integrated diabetes care, we should be able to follow the patient throughout the care path, monitor his/her care process and link them to his/her health outcomes, while simultaneously link this information to the primary care system and its performance on the structure and organization related quality indicators. However the development process of such a data framework is challenging, even in period of increasing and improving health data storage and management. This study aims to develop an integrated multi-level data framework for quality of diabetes care and to operationalize this framework in the fragmented Belgium health care and data landscape. Methods Based on document reviews, iterative working group discussions and expert consultations, theoretical approaches and quality indicators were identified and assessed. After mapping and assessing the validity of existing health information systems and available data sources through expert consultations, the theoretical framework was translated in a data framework with measurable quality indicators. The construction of the data base included sampling procedures, data-collection, and several technical and privacy-related aspects of linking and accessing Belgian datasets. Results To address three dimensions of quality of care, we integrated the chronic care model and cascade of care approach, addressing respectively the structure related quality indicators and the process and outcome related indicators. The corresponding data framework is based on self-collected data at the primary care practice level (using the Assessment of quality of integrated care tool), and linked health insurance data with lab data at the patient level. Conclusion In this study, we have described the transition of a theoretical quality of care framework to a unique multilevel database, which allows assessing the quality of diabetes care, by considering the complete care continuum (process and outcomes) as well as organizational characteristics of primary care practices.

Introduction: The SCUBY project aimed to provide knowledge on the scaling-up of an Integrated Care Package (ICP) for type 2 diabetes and hypertension across three distinct health systems (Cambodia, Slovenia, and Belgium). Here, we analyse the different elements of the country-specific scale-up roadmaps to identify similarities and differences, and share lessons learned. Methods: Thematic analysis was used to derive crucial roadmap elements from key SCUBY documents (n = 20), including policy briefs, interim reports, research outputs, and consortium meeting notes. Results: Roadmap elements differed according to priority needs, features of the (health) systems, and partly reflected the position of the SCUBY research team within each country. Common cross-country elements were: task-shifting to patients themselves, nurses and community health workers; strengthening monitoring and evaluation; and creating an enabling environment for ICP implementation. Discussion: Scale-up of complex interventions requires continuous engagement of multiple stakeholders and contextualization of action plans. The linkage of research teams with key implementation stakeholders and policy makers creates change-teams, allowing advancement from formative research to implementation of roadmap strategies and full scale-up in due time. Conclusion: The development processes and contents of the roadmaps provided essential and reciprocal learnings. These learnings help shape future policy dialogues and best practices to tackle chronic disease in each participating country. [ABSTRACT FROM AUTHOR]

Introduction: As in other countries worldwide, Diabetes mellitus type 2 (T2D) and hypertension (HTN) prevalence is increasing in Cambodia. The country is examining models to scale-up integrated T2D and HTN care. However, costs of integrated care in this setting are not yet well-understood. Thus, we modelled the cost of an "Ideal Minimum Integrated Care" (IMIC) package (detection, diagnosis, treatment + health education, self-management and follow-up) for T2D and HTN in Cambodia. Description: We visualised a package – IMIC – of effective interventions for T2D and HTN inspired by SCUBY-ICP and PEN. WHO NCD and HEART Costing Tools were adapted to estimate annual total IMIC intervention cost per health centre, cost per case and cost per capita. Discussion: Cost of the IMIC provides information on costs to aid decision-making on implementation. The Excel-based costing tool is easy to accomplish and can be replicated to provide more accurate results by using more precise actual input data, once these are available in the country. Conclusion: The projected costs of IMIC for T2D and HTN in Cambodia provides evidence to informed decision-making of relevant actors in implementing scale-up of IMIC for T2D and HTN. The model can be used in countries with similar context to calculate costs of integrated care. [ABSTRACT FROM AUTHOR]

Introduction: With the rising prevalence of type 2 diabetes (T2D), three care initiatives for T2D are being scaled-up in Cambodia to improve availability and accessibility of integrated care for T2D: (1) hospital-based care, (2) health centre-based care, and (3) community-based care. This case study aims to share learnings from an in-depth analysis of the level of integrated care implementation in these care initiatives for T2D in Cambodia. Description: Twenty public health facilities in five operational districts were assessed on six integrated care components: (1) early detection and diagnosis, (2) treatment in primary care services, (3) health education, (4) self-management support, (5) structured collaboration, and (6) organisation of care. Two raters independently scored each facility on a 0–5 scale based on multiple sources of data and reached a consensus. Discussion: The in-depth analysis showed that the three care initiatives were not implemented in an integrated manner, with low implementation scores (1 or 2 out of 5) in all selected settings. The presence of health centre-based care was associated with higher scores for early detection and diagnosis and treatment in primary care services, while the presence of community-based care was related to structured collaboration and organisation of care. Conclusion: The evidence suggests that while each care initiative has its potential contributions towards integrated care for T2D, the three care initiatives should be effectively implemented in an integrated manner in order to potentially produce the desired outcomes. [ABSTRACT FROM AUTHOR]

Introduction: The 'Scale-Up diaBetes and hYpertension care' (SCUBY) project provides evidence on scaling-up integrated care (IC) in Cambodia, Slovenia, and Belgium. This paper examines macro-level barriers and facilitators to scaling up IC in these settings. Methods: We used a multi-case study design, with each country being a case. Document review, focus groups, and stakeholder interviews were conducted. The WHO health system building blocks guided the thematic analysis. We then visualised and examined the interlinkages between barriers in each country. Results: Common challenges to scaling up IC across the three health systems relate to: governance and leadership; health workforce; inadequate health financing system; and fragmented health information systems. In Cambodia, access to non-communicable disease (NCD) services and medicine are important issues. IC scale-up is facilitated by its strong governance and public health service model in Slovenia but health workforce shortages risk progress. In Belgium, the fragmented governance system and predominant fee-for-service provider payment are important barriers. A common response to health workforce and workload challenges was task shifting: to primary care nurses in Belgium, peer supporters in Slovenia, and community health workers in Cambodia. Conclusions: Examining differences and similarities between barriers in each health system stimulated reciprocal learning. Interactions between health system barriers in specific contexts require further attention to move complex health systems forward. [ABSTRACT FROM AUTHOR]

Introduction: Complex health interventions (CHIs) are common in (public) health and social care practice and policy. A process evaluation (PE) is an essential part of designing and testing CHIs and questions what is implemented, the mechanisms of change, and how context affects implementation. The scale-up of CHIs is challenging and heterogeneous, making the accompanying PE unique to the nature of the inquiry. Methods: We conducted a scoping review to describe the current practice of conducting PEs alongside or following the scale-up of CHI. Eight primary data sources were searched and data extracted on study characteristics, intervention characteristics, methods used in relation to the PE, and stakeholders included. Results: We reviewed 10,538 records and included 56 studies. Seven common thematic areas emerged in which CHIs were being scaled-up. The use of scale-up specific frameworks was rare, and common outcomes of the process evaluation focussed on barriers and facilitators in relation to the context; often obtained "once-off" using qualitative and quantitative data sources. Scale-up strategies reported were: supporting increased coverage, comprehensiveness, and institutionalisation; often simultaneously. Conclusion: Variations in the conduct of process evaluations during the scale-up phase of complex health interventions may reflect differences in context, conceptual challenges, the multi-dimensional nature of scale-up, and the point of engagement with the health care system (e.g., community-level). Ideally, a process evaluation is a recurrent continuous process, leveraging a systems-driven understanding and triangulation of qualitative and quantitative data, that takes place alongside the scale-up project to inform real-world adaptations of scale-up strategies and (untoward) mechanisms of impact when applicable. [ABSTRACT FROM AUTHOR]