Dataset Information

Falls prevention within the Australian general practice data model: methodology, information model, and terminology issues.

ABSTRACT: The iterative development of the Falls Risk Assessment and Management System (FRAMS) drew upon research evidence and early consumer and clinician input through focus groups, interviews, direct observations, and an online questionnaire. Clinical vignettes were used to validate the clinical model and program logic, input, and output. The information model was developed within the Australian General Practice Data Model (GPDM) framework. The online FRAMS implementation used available Internet (TCP/IP), messaging (HL7, XML), knowledge representation (Arden Syntax), and classification (ICD10-AM, ICPC2) standards. Although it could accommodate most of the falls prevention information elements, the GPDM required extension for prevention and prescribing risk management. Existing classifications could not classify all falls prevention concepts. The lack of explicit rules for terminology and data definitions allowed multiple concept representations across the terminology-architecture interface. Patients were more enthusiastic than clinicians. A usable standards-based online-distributed decision support system for falls prevention can be implemented within the GPDM, but a comprehensive terminology is required. The conceptual interface between terminology and architecture requires standardization, preferably within a reference information model. Developments in electronic decision support must be guided by evidence-based clinical and information models and knowledge ontologies. The safety and quality of knowledge-based decision support systems must be monitored. Further examination of falls and other clinical domains within the GPDM is needed.

SUBMITTER: Liaw ST

PROVIDER: S-EPMC212779 | biostudies-literature | 2003 Sep-Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Falls prevention within the Australian general practice data model: methodology, information model, and terminology issues.

Liaw Siaw-Teng ST Sulaiman Nabil N Pearce Christopher C Sims Jane J Hill Keith K Grain Heather H Tse Justin J Ng Choon-Kiat CK

Journal of the American Medical Informatics Association : JAMIA 20030604 5

The iterative development of the Falls Risk Assessment and Management System (FRAMS) drew upon research evidence and early consumer and clinician input through focus groups, interviews, direct observations, and an online questionnaire. Clinical vignettes were used to validate the clinical model and program logic, input, and output. The information model was developed within the Australian General Practice Data Model (GPDM) framework. The online FRAMS implementation used available Internet (TCP/I ...[more]

PMID: 12807809

Similar Datasets

Project description:BackgroundGeneral practitioners (GPs) can be considered the designated professionals to identify high fall risk and to guide older people to fall preventive care. Currently it is not exactly known how GPs treat this risk. This study aims to investigate GPs' daily practice regarding fall preventive care for frail older patients.MethodsSixty-five GPs from 32 Dutch practices participated in this study for a period of 12 months. When a GP entered specific International Classification of Primary Care-codes related to frailty and/or high fall risk in their Electronic Health Records, a pop-up appeared asking "Is this patient frail?". If the GP confirmed this, the GP completed a short questionnaire about patient's fall history and fear of falling (FOF), and the fall preventive care provided.ResultsThe GPs completed questionnaires regarding 1394 frail older patients aged ≥75. Of 20% of these patients, the GPs did not know whether they had experienced a fall or not. The GPs did not know whether a FOF existed in even more patients (29%). Of the patients with a fall history and/or a FOF (N = 726), 37% (N = 271) received fall preventive care. Two main reasons for not offering fall preventive care to these patients were: I) the patient finds treatment too intensive or too much of a hassle (37%), and II) the GP identified a high fall risk but the patient did not acknowledge this (14%). When patients were treated for high fall risk, the GP and the physiotherapist were the most frequently involved health care providers. The involved health care providers most often treated mobility limitations, cardiovascular risk factors, and FOF.ConclusionsThe results from this study show that GPs were frequently not aware of their frail patient's fall history and/or FOF and that the majority of the frail older patients with a fall history and/or FOF did not receive fall preventive care. Developing systematic screening strategies for the primary care setting enhancing the identification of high fall risk and the provision of fall preventive care may improve patients' quality of life and reduce health care costs.

Project description:BackgroundCross-sector collaborative partnerships are a vital strategy in efforts to strengthen research-informed policy and practice and may be particularly effective at addressing the complex problems associated with chronic disease prevention. However, there is still a limited understanding of how such partnerships are implemented in practice and how their implementation contributes to outcomes. This paper explores the operationalisation and outcomes of knowledge mobilisation strategies within the Australian Prevention Partnership Centre - a research collaboration between policy-makers, practitioners and researchers.MethodsThe Centre's programme model identifies six knowledge mobilisation strategies that are hypothesised to be essential for achieving its objectives. Using a mixed methods approach combining stakeholder interviews, surveys, participant feedback forms and routine process data over a 5-year period, we describe the structures, resources and activities used to operationalise these strategies and explore if and how they have contributed to proximal outcomes.ResultsResults showed that Centre-produced research, resources, tools and methods were impacting policy formation and funding. Policy-makers reported using new practical methodologies that were helping them to design, implement, evaluate and obtain funding for scaled-up policies and programmes, and co-creating compelling prevention narratives. Some strategies were better implemented and more impactful than others in supporting these outcomes, with variation in who they worked for. The activities used to effect engagement, capacity-building and partnership formation were mostly generating positive results, but co-production could be enhanced by greater shared decision-making. Considerably more work is needed to successfully operationalise knowledge integration and adaptive learning.ConclusionsDescribing how collaborative cross-sector research partnerships are operationalised in practice, and with what effects, can provide important insights into practical strategies for establishing and growing such partnerships and for maximising their contributions to policy. Findings suggest that the Centre has many strengths but could benefit from more inclusive and transparent governance and internal processes that facilitate dialogue about roles, expectations and co-production practices.

Project description:BACKGROUND:Among Australians aged 50 and over, an estimated 1 in 4 men and 2 in 5 women will experience a minimal trauma fracture during their remaining lifetime. Effective fracture prevention is hindered by substantial undertreatment, even of patients who clearly warrant pharmacological therapy. Poor adherence to osteoporosis treatment is also a leading cause of repeat fractures and hospitalisation. The aim of this study was to identify current osteoporosis treatment patterns and gaps in practice in Australia, using general practice data, and to explore general practitioners' (GPs') attitudes to osteoporosis treatment and their views on patient factors affecting osteoporosis management. METHODS:The study was conducted in two phases. Phase 1 was a longitudinal retrospective cohort study which utilised data from MedicineInsight - a national general practice data program that extracts longitudinal, de-identified patient data from clinical information systems (CISs) of participating general practices. Phase 2 included semi-structured, in-depth telephone interviews with a sample of MedicineInsight practice GPs. Data were analysed using an inductive thematic analysis method informed by the theory of planned behaviour. RESULTS:A diagnosis of osteoporosis was recorded in 12.4% of patients over the age of 50 years seen in general practice. Of those diagnosed with osteoporosis, almost a quarter were not prescribed osteoporosis medicines. From 2012 to 17, there was a progressive increase in the number of denosumab prescriptions, while prescriptions for bisphosphonates and other osteoporosis medicines decreased. More than 80% of patients who ceased denosumab treatment had no subsequent bisphosphonate prescription recorded. Interviews with GPs revealed beliefs and attitudes that may have influenced their intentions towards prescribing and osteoporosis management. CONCLUSIONS:This study suggests that within the Australian general practice setting, osteoporosis is underdiagnosed and undertreated. In addition, it appears that most patients who ceased denosumab treatment had no record of subsequent antiresorptive therapy, which would place them at risk of further fractures. The study supports the need for the development of clinical education programs addressing GP knowledge gaps and attitudes, and the implementation of specific interventions such as good reminder/recall systems to avoid delays in reviewing and treating patients with osteoporosis.

Dataset Information

Falls prevention within the Australian general practice data model: methodology, information model, and terminology issues.

Publications

Falls prevention within the Australian general practice data model: methodology, information model, and terminology issues.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets