Anikó Vég

Variation of patients’ views on Type 2 diabetes management over time

Aims  The aim of the study was to examine the relationship between participants’ views about their role in diabetes treatment and their glycaemic control 3–7 years after having entered an educational intervention, and to investigate whether peoples attitudes towards diabetes management change over an extended period of time.

A health record integrated clinical decision support system to support prescriptions of pharmaceutical drugs in patients with reduced renal function: Design, development and proof of concept

OBJECTIVES To develop and verify proof of concept for a clinical decision support system (CDSS) to support prescriptions of pharmaceutical drugs in patients with reduced renal function, integrated in an electronic health record system (EHR) used in both hospitals and primary care. METHODS A pilot study in one geriatric clinic, one internal medicine admission ward and two outpatient healthcare centers was evaluated with a questionnaire focusing on the usefulness of the CDSS. The usage of the system was followed in a log. RESULTS The CDSS is considered to increase the attention on patients with impaired renal function, provides a better understanding of dosing and is time saving. The calculated glomerular filtration rate (eGFR) and the dosing recommendation classification were perceived useful while the recommendation texts and background had been used to a lesser extent. DISCUSSION Few previous systems are used in primary care and cover this number of drugs. The global assessment of the CDSS scored high but some elements were used to a limited extent possibly due to accessibility or that texts were considered difficult to absorb. Choosing a formula for the calculation of eGFR in a CDSS may be problematic. CONCLUSIONS A real-time CDSS to support kidney-related drug prescribing in both hospital and outpatient settings is valuable to the physicians. It has the potential to improve quality of drug prescribing by increasing the attention on patients with renal insufficiency and the knowledge of their drug dosing.

Pediatricians’ Understanding and Experiences of an Electronic Clinical-Decision-Support-System

Objectives Subsequent dosing errors after implementing an Electronic Medical Record (EMR) at a pediatric hospital in Sweden led to the development, in close collaboration with the clinical profession, of a Clinical Decision Support System (CDSS) with Dose Range Check and Weight Based Dose Calculation integrated directly in the EMR. The aim of this study was to explore the understanding and experiences of the CDSS among Swedish pediatricians after one year of practice. Methods Semi-structured interviews with physicians at different levels of the health care system were performed with seventeen pediatricians working at three different pediatrics wards in Stockholm County Council. The interviews were analysed with a thematic analysis without pre-determined categories. Results Six categories and fourteen subcategories emerged from the analysis. The categories included the use, the benefit, the confidence, the situations of disregards, the misgivings/risks and finally the development potential of the implemented CDSS with Weight Based Dose Calculation and Dose Range Check. Conclusions A need for CDSS in the prescribing for children is evident to support the prevention of medication errors. After implementing a CDSS, organized efforts are crucial to understand the need for further development based on the practical knowledge of the clinical profession. Different contextual settings of health care organisations do affect the way how physicians think and act in work. When implementing a CDSS in practice we need to describe and analyse the context where the CDSS should be used as well as the prescribers’ needs in work.

Exploring the effects of eHealth service innovation

To analyse the impact of implementation and use of eHealth services is fraught with difficulty, and there is often a gap between expected and identified outcomes. In this paper, we identify innovation effects of an eHealth service by applying a framework that focusses on the expected coherent impacts of implementing an IT innovation and contributes to the body of knowledge on tracking innovation effects of services in eHealth. A case study examines four different care units in a government-funded health-care setting. The results show that the effects in the first two contexts of the framework, the micro level and intra-/interorganisational level, could be clearly identified with regard to the physicians and the organisation. However, effects were lacking in the virtual context when looking beyond the involvement of the stakeholders in the eHealth service. The connections between effects for societal groups and larger societal systems simply could not be made in a satisfactory manner.