Title |
Evaluation of the use of Swedish integrated electronic health records and register health care data as support clinical trials in severe asthma: the PACEHR study
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Published in |
Respiratory Research, November 2016
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DOI | 10.1186/s12931-016-0461-1 |
Pubmed ID | |
Authors |
Stefan Franzén, Christer Janson, Kjell Larsson, Max Petzold, Urban Olsson, Gunnar Magnusson, Gunilla Telg, Gene Colice, Gunnar Johansson, Mats Sundgren |
Abstract |
In the development of new drugs for severe asthma, it is a challenge from an ethical point of view to randomize severe asthma patients to placebo, and to obtain long-term safety data due to discontinuations. The aim of this study was to evaluate the feasibility of using electronic health record (EHR) data to create a real-world reference population of uncontrolled asthmatic patients to supplement the concurrent control/placebo group in long-term studies of asthma. EHR data from 36 primary care centres and a University hospital in Sweden were linked to Swedish mandatory health registers (2005-2013), creating a population covering 33 890 asthma patients, including data on co-morbidities, risk factors and laboratory/respiratory measurements. A severe asthma EHR reference cohort was established. We used logistic regression to estimate the propensity score (probability) of each RCT or EHR patient existing in the EHR cohort given their covariates. We created an EHR-derived reference cohort of 240 patients, matching the placebo group (N = 151) in an RCT of severe asthma. The exacerbation rate during follow-up in the EHR study population was 1.24 (weighted) compared to 0.9 in the RCT placebo group. Patients in the EHR cohort were of similar age as in the RCT placebo group, 50.6 years versus 50.1 years; had slightly higher body mass index 27.0 kg/m(2) versus 27.3 kg/m(2); and consisted of 40% versus 34% males. The results indicate that EHRs provide an opportunity to supplement the control group in RCTs of severe diseases. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | 1% |
Unknown | 83 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 15 | 18% |
Researcher | 11 | 13% |
Student > Ph. D. Student | 8 | 10% |
Student > Bachelor | 5 | 6% |
Other | 4 | 5% |
Other | 14 | 17% |
Unknown | 27 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 22 | 26% |
Nursing and Health Professions | 7 | 8% |
Social Sciences | 5 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 4 | 5% |
Biochemistry, Genetics and Molecular Biology | 3 | 4% |
Other | 11 | 13% |
Unknown | 32 | 38% |