The chronic care model and diabetes management in US primary care settings: a systematic review

Understanding social forces involved in diabetes outcomes: a systems science approach to quality-of-life research

PURPOSE

The field of quality-of-life (QOL) research would benefit from learning about and integrating systems science approaches that model how social forces interact dynamically with health and affect the course of chronic illnesses. Our purpose is to describe the systems science mindset and to illustrate the utility of a system dynamics approach to promoting QOL research in chronic disease, using diabetes as an example.

METHODS

We build a series of causal loop diagrams incrementally, introducing new variables and their dynamic relationships at each stage.

RESULTS

These causal loop diagrams demonstrate how a common set of relationships among these variables can generate different disease and QOL trajectories for people with diabetes and also lead to a consideration of non-clinical (psychosocial and behavioral) factors that can have implications for program design and policy formulation.

CONCLUSIONS

The policy implications of the causal loop diagrams are discussed, and empirical next steps to validate the diagrams and quantify the relationships are described.

Dementia care in rural China

Dementia is a major cause of disability and has immense cost implications for the individual suffering from the condition, family caregivers and society. Given the high prevalence of dementia in China with its enormous and rapidly expanding population of elderly adults, it is necessary to develop and test approaches to the care for patients with this disorder. The need is especially great in rural China where access to mental healthcare is limited, with the task made more complex by social and economic reforms over the last 30 years that have transformed the Chinese family support system, family values and health delivery systems. Evidence-based collaborative care models for dementia, depression and other chronic diseases that have been developed in some Western countries serve as a basis for discussion of innovative approaches in the management of dementia in rural China, with particular focus on its implementation in the primary care system.

Developing an active implementation model for a chronic disease management program

Background

Introduction and diffusion of new disease management programs in healthcare is usually slow, but active theory-driven implementation seems to outperform other implementation strategies. However, we have only scarce evidence on the feasibility and real effect of such strategies in complex primary care settings where municipalities, general practitioners and hospitals should work together. The Central Denmark Region recently implemented a disease management program for chronic obstructive pulmonary disease (COPD) which presented an opportunity to test an active implementation model against the usual implementation model. The aim of the present paper is to describe the development of an active implementation model using the Medical Research Council’s model for complex interventions and the Chronic Care Model.

Methods

We used the Medical Research Council’s five-stage model for developing complex interventions to design an implementation model for a disease management program for COPD. First, literature on implementing change in general practice was scrutinised and empirical knowledge was assessed for suitability. In phase I, the intervention was developed; and in phases II and III, it was tested in a block- and cluster-randomised study. In phase IV, we evaluated the feasibility for others to use our active implementation model.

Results

The Chronic Care Model was identified as a model for designing efficient implementation elements. These elements were combined into a multifaceted intervention, and a timeline for the trial in a randomised study was decided upon in accordance with the five stages in the Medical Research Council’s model; this was captured in a PaTPlot, which allowed us to focus on the structure and the timing of the intervention. The implementation strategies identified as efficient were use of the Breakthrough Series, academic detailing, provision of patient material and meetings between providers. The active implementation model was tested in a randomised trial (results reported elsewhere).

Conclusion

The combination of the theoretical model for complex interventions and the Chronic Care Model and the chosen specific implementation strategies proved feasible for a practice-based active implementation model for a chronic-disease-management-program for COPD. Using the Medical Research Council’s model added transparency to the design phase which further facilitated the process of implementing the program.

Trial registration: http://www.clinicaltrials.gov/(NCT01228708).