Background: Poorly controlled type 2 diabetes mellitus (T2DM) can be seen as failure to meet recommended targets for management of key risk factors including glycaemic control, blood pressure and lipids. Poor control of risk factors is associated with significant morbidity, mortality and healthcare costs. Failure to intensify medications for patients with poor control of T2DM when indicated is called clinical inertia and is one contributory factor to poor control of T2DM.
View Article and Find Full Text PDFObjectives: Following appropriate validation, clinical prediction rules (CPRs) should undergo impact analysis to evaluate their effect on patient care. The aim of this systematic review is to narratively review and critically appraise CPR impact analysis studies relevant to primary care.
Setting: Primary care.
Introduction: The use of Clinical Prediction Rules (CPRs) has been advocated as one way of implementing actionable evidence-based rules in clinical practice. The current highly manual nature of deriving CPRs makes them difficult to use and maintain. Addressing the known limitations of CPRs requires implementing more flexible and dynamic models of CPR development.
View Article and Find Full Text PDFBackground: The Patient Journey Record system (PaJR) is an application of a complex adaptive chronic care model in which early detection of adverse changes in patient biopsychosocial trajectories prompts tailored care, constitute the cornerstone of the model.
Aims: To evaluate the PaJR system's impact on care and the experiences of older people with chronic illness, who were at risk of repeat admissions over 12 months.
Design: Community-based cohort study - random assignment into intervention and usual care group, with process and outcome evaluation.
Rationale: Complex adaptive chronic care (CACC) is a framework based upon complex adaptive systems' theory developed to address different stages in the patient journey in chronic illness. Simple, complicated, complex and chaotic phases are proposed as diagnostic types.
Aims: To categorize phases of the patient journey and evaluate their utility as diagnostic typologies.