2006
DOI: 10.1093/fampra/cml051
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Investigation of the effect of a countywide protected learning time scheme on prescribing rates of ramipril: interrupted time series study

Abstract: PLT schemes can contribute to beneficial changes in prescribing across a large geographical area.

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Cited by 8 publications
(69 citation statements)
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“…Contexts at the interpersonal level included: primary care teams; and multidisciplinary teams . At the organisational level contexts included: hospital; general practice; ward round; increased patient numbers; and rapid NHS change . See Box 2 for examples of these contexts in the included studies.…”
Section: Resultsmentioning
confidence: 99%
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“…Contexts at the interpersonal level included: primary care teams; and multidisciplinary teams . At the organisational level contexts included: hospital; general practice; ward round; increased patient numbers; and rapid NHS change . See Box 2 for examples of these contexts in the included studies.…”
Section: Resultsmentioning
confidence: 99%
“…With respect to negative mechanisms at the interpersonal level, we identified: trainers can stifle trainees . Finally, in terms of the organisational level, we identified the following negative mechanisms: lack of funding; pressures on service; lack of protection from service obligations; lack of support; lack of staff cover; short placements; and single‐handed roles . See Box 2 for examples of both positive and negative mechanisms.…”
Section: Resultsmentioning
confidence: 99%
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“…There was an 87-fold difference among English GPs in its prescribing of lansoprazole in the late 1990s following its introduction to the market as a cheaper PPI (4). The majority of studies which have examined attempts to change prescribing have done so in relation to one medication class only (21,38). This paper is novel in that seeks to examine changes in prescribing for two drug groups simultaneously, either groups for which guidelines were issued simultaneously or by using a reference group for which no guidelines were issued during the study period.…”
Section: Context Of Other Studiesmentioning
confidence: 99%
“…Like traditional interrupted time series models and regime switching time series models used in assessing the impact of an intervention on medical costs [25][26][27][28][29][30][31][32] , the model devised for this study included a stochastic component represented by autoregressive, integrated, moving average parts of ARIMA (p, d, q), and structural or interventional components. However, different from these traditional time series models, our novelly-devised models decomposed the structural/or interventional component into the following four sub-components: (1) marginal (or monthly) change of medical costs in the absence of a treatment initiation, (2) marginal (or monthly) change of medical costs in the presence of a treatment initiation, (3) short-term change of medical costs at initiation, and (4) additional impact of a treatment initiation over the observed time period.…”
Section: Time Series Analysismentioning
confidence: 99%