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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Patel, Bindu Patel, Anushka Jan, Stephen Usherwood, Tim Harris, Mark Panaretto, Katie Zwar, Nicholas Redfern, Julie Jansen, Jesse Doust, Jenny Peiris, David |
| Abstract | Background Cardiovascular disease (CVD) is the leading cause of death and disability worldwide. Despite the widespread availability of evidence-based clinical guidelines and validated risk predication equations for prevention and management of CVD, their translation into routine practice is limited. We developed a multifaceted quality improvement intervention for CVD risk management which incorporates electronic decision support, patient risk communication tools, computerised audit and feedback tools, and monthly, peer-ranked performance feedback via a web portal. The intervention was implemented in a cluster randomised controlled trial in 60 primary healthcare services in Australia. Overall, there were improvements in risk factor recording and in prescribing of recommended treatments among under-treated individuals, but it is unclear how this intervention was used in practice and what factors promoted or hindered its use. This information is necessary to optimise intervention impact and maximally implement it in a post-trial context. In this study protocol, we outline our methods to conduct a theory-based, process evaluation of the intervention. Our aims are to understand how, why, and for whom the intervention produced the observed outcomes and to develop effective strategies for translation and dissemination. Methods/Design We will conduct four discrete but inter-related studies taking a mixed methods approach. Our quantitative studies will examine (1) the longer term effectiveness of the intervention post-trial, (2) patient and health service level correlates with trial outcomes, and (3) the health economic impact of implementing the intervention at scale. The qualitative studies will (1) identify healthcare provider perspectives on implementation barriers and enablers and (2) use video ethnography and patient semi-structured interviews to understand how cardiovascular risk is communicated in the doctor/patient interaction both with and without the use of intervention. We will also assess the costs of implementing the intervention in Australian primary healthcare settings which will inform scale-up considerations. Discussion This mixed methods evaluation will provide a detailed understanding of the process of implementing a quality improvement intervention and identify the factors that might influence scalability and sustainability. Trials registration 12611000478910. |
| Related Links | https://implementationscience.biomedcentral.com/counter/pdf/10.1186/s13012-014-0187-8.pdf |
| Ending Page | 12 |
| Page Count | 12 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 17485908 |
| DOI | 10.1186/s13012-014-0187-8 |
| Journal | Implementation Science |
| Issue Number | 1 |
| Volume Number | 9 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2014-12-17 |
| Access Restriction | Open |
| Subject Keyword | Health Services Research Public Health Health Informatics Health Policy Health Administration Health Promotion and Disease Prevention Knowledge translation Process evaluation Quality improvement intervention Clinical decision support systems Cardiovascular prevention Cardiovascular risk Primary healthcare Mixed methods Theory-based |
| Content Type | Text |
| Resource Type | Article |
| Subject | Health Policy Public Health, Environmental and Occupational Health Health Informatics |
| Journal Impact Factor | 8.8/2023 |
| 5-Year Journal Impact Factor | 9.2/2023 |
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