What’s the uptake? Pragmatic RCTs may be used to estimate uptake, and thereby population impact of interventions, but better reporting of trial recruitment processes is needed
| Field | Value | Language |
| dc.contributor.author | Bell, Katy J.L. | |
| dc.contributor.author | McCullough, Amanda | |
| dc.contributor.author | Del Mar, Chris | |
| dc.contributor.author | Glasziou, Paul | |
| dc.date.accessioned | 2021-04-22T05:22:15Z | |
| dc.date.available | 2021-04-22T05:22:15Z | |
| dc.date.issued | 2017 | en |
| dc.identifier.uri | https://hdl.handle.net/2123/24968 | |
| dc.description.abstract | Effectiveness of interventions in pragmatic trials may not translate directly into population impact, because of limited uptake by clinicians and/or the public. Uptake of an intervention is influenced by a number of factors. We propose a method for calculating population impact of clinical interventions that accounts for the intervention uptake. We suggest that population impact may be estimated by multiplying the two key components: (1) the effectiveness of the intervention in pragmatic trials (trial effect); and, (2) its uptake in clinical practice. We argue that participation rates in trials may be a valid proxy for uptake in clinical practice and, in combination with trial effectiveness estimates, be used to rank interventions by their likely population impact. We illustrate the method using the example of four interventions to decrease antibiotic prescription for acute respiratory infections in primary care: delayed prescribing, procalcitonin test, C-Reactive Protein, shared decision making. | en |
| dc.language.iso | en | en |
| dc.publisher | BMC | en |
| dc.relation.ispartof | BMC medical research methodology | en |
| dc.rights | Copyright All Rights Reserved | en |
| dc.subject | health policy | en |
| dc.subject | primary health care | en |
| dc.subject | pragmatic clinical trial | en |
| dc.subject | methods | en |
| dc.subject | drug resistence | en |
| dc.title | What’s the uptake? Pragmatic RCTs may be used to estimate uptake, and thereby population impact of interventions, but better reporting of trial recruitment processes is needed | en |
| dc.type | Article | en |
| dc.subject.asrc | 1117 Public Health and Health Services | en |
| dc.identifier.doi | 10.1186/s12874-017-0443-0 | |
| dc.relation.nhmrc | 1013390 | |
| dc.relation.nhmrc | 527500 | |
| dc.relation.nhmrc | 1044904 | |
| usyd.faculty | SeS faculties schools::Faculty of Medicine and Health::Sydney School of Public Health | en |
| usyd.citation.volume | 17 | en |
| usyd.citation.issue | 174 | en |
| workflow.metadata.only | No | en |
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