2005
DOI: 10.1197/jamia.m1803
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A Technical Infrastructure to Conduct Randomized Database Studies Facilitated by a General Practice Research Database: Figure 1

Abstract: General practice research databases are increasingly used to study intended and unintended effects of treatments. However, confounding by indication remains a major problem. The randomized database study methodology has been proposed as a method to combine the strengths of observational database (generalizability) and the strength of the randomized clinical trial (RCT) design (randomization). We developed an infrastructure that enables the execution of randomized database studies with treatment randomization f… Show more

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Cited by 9 publications
(8 citation statements)
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“…Data were analysed using the framework approach in which recurrent themes are identified and charted within a matrix which is used for data interpretation. 15 Framework analysis was developed as a means of analysing qualitative data for applied research, 11,12,[16][17][18] which attempts to produce outcomes that are actionable 17 within relatively short time frames. 16…”
Section: Methodsmentioning
confidence: 99%
“…Data were analysed using the framework approach in which recurrent themes are identified and charted within a matrix which is used for data interpretation. 15 Framework analysis was developed as a means of analysing qualitative data for applied research, 11,12,[16][17][18] which attempts to produce outcomes that are actionable 17 within relatively short time frames. 16…”
Section: Methodsmentioning
confidence: 99%
“…Scientific papers concerning medical database systems mainly analyze health information technology in general or describe specific, individually developed database systems [1][2][3][4][5][6][7][8][9][10].…”
Section: Discussionmentioning
confidence: 99%
“…Widespread collection of clinical data in a computerized format, such as electronic health records (EHRs) and administrative claims, has made available an unprecedented amount of health care data for computational reuse [12]. These data promise to facilitate comparative effectiveness research, safety surveillance, and pragmatic trials, to name a few [345678]. Large clinical data research networks–here within referred to as networks–have been established to capitalize on these research opportunities [9].…”
Section: Introductionmentioning
confidence: 99%