Targeted prevention in primary care aimed at lifestyle-related diseases: a study protocol for a non-randomised pilot study.

BACKGROUND: The consequences of lifestyle-related disease represent a major burden for the individual as well as for society at large. Individual preventive health checks to the general population have been suggested as a mean to reduce the burden of lifestyle-related diseases, though with mixed evidence on effectiveness. Several systematic reviews, on the other hand, suggest that health checks targeting people at high risk of chronic lifestyle-related diseases may be more effective. The evidence is however very limited. To effectively target people at high risk of lifestyle-related disease, there is a substantial need to advance and implement evidence-based health strategies and interventions that facilitate the identification and management of people at high risk. This paper reports on a non-randomized pilot study carried out to test the acceptability, feasibility and short-term effects of a healthcare intervention in primary care designed to systematically identify persons at risk of developing lifestyle-related disease or who engage in health-risk behavior, and provide targeted and coherent preventive services to these individuals. METHODS: The intervention took place over a three-month period from September 2016 to December 2016. Taking a two-pronged approach, the design included both a joint and a targeted intervention. The former was directed at the entire population, while the latter specifically focused on patients at high risk of a lifestyle-related disease and/or who engage in health-risk behavior. The intervention was facilitated by a digital support system. The evaluation of the pilot will comprise both quantitative and qualitative research methods. All outcome measures are based on validated instruments and aim to provide results pertaining to intervention acceptability, feasibility, and short-term effects. DISCUSSION: This pilot study will provide a solid empirical base from which to plan and implement a full-scale randomized study with the central aim of determining the efficacy of a preventive health intervention. TRIAL REGISTRATION: Registered at Clinical Trial Gov (Unique Protocol ID: TOFpilot2016 ). Registered 29 April 2016. The study adheres to the SPIRIT guidelines.

Designing shared electronic records for chronic care.

This paper reports preliminary findings from an ongoing research project on the development of IT support for communication and information sharing across institutional and professional boundaries within the Danish healthcare system. The project focuses on the treatment of patients with implanted ICDs (implantable cardioverter-defibrillator). These are chronic patients who usually see several different healthcare providers on a regular basis. The main findings so far are: (1) Most of the data produced and recorded as part of the care process are context-specific and often difficult to interpret unless you are an expert on the subject. Sharing these types of data across institutional and professional boundaries is not feasible. (2) Yet, it appears that a small subset of data can make sense across the different contexts and be of use to others. These data are good candidates for sharing. (3) In addition, there appears to be a need for creating new types of data specifically designed to meet the coordination needs across different contexts and expert domains. (4) The dilemma is, however, that the production of these new types of data must not require too much extra work.

Achieving veracity: A study of the development and use of an information system for data analysis in preventive healthcare.

Within healthcare, information systems are increasingly developed to enable automatic analysis of the large amounts of data that are accumulated. A prerequisite for the practical use of such data analysis is the veracity of the output, that is, that the analysis is clinically valid. Whereas most research focuses on the technical configuration and clinical precision of data analysis systems, the purpose of this article is to investigate how veracity is achieved in practice. Based on a study of a project in Denmark aimed at developing an algorithm for stratification of citizens in preventive healthcare, this article confirms that achieving veracity requires close attention to the clinical validity of the algorithm. It also concludes, however, that the veracity in practice hinges critically on the citizens' ability to report high-quality data and the ability of the health professionals to interpret the outcome in the context of existing care practices.