ࡱ> DFCO Xbjbjqq 4&ee  8Q4\&&%%%%%%%$(8+&&4&v%%:E#,# xiKvq# %,&0\&{#.$,$,##&$,#&&y\&$, :  GP name and address: A Personalised Early Warning Decision Support System to Predict and Prevent Acute Exacerbations of Chronic Obstructive Pulmonary Disease - 'Predict&Prevent AECOPD'" RE: Patient name: DOB: NHS number: Dear , Our Trust is participating in a research study comparing 2 different ways for patients to self-manage their COPD. The Predict&Prevent AECOPD trial is finding out if the use of a personalised early warning decision support system helps to predict and prevent acute exacerbations of their COPD. The study has been granted ethical approval by REC .. Rec reference 19/LO/1939. Following some initial assessments, to which your patient provided written informed consent, it was found that they were eligible for inclusion into the study and, having had the opportunity to discuss the study with the research team, they have confirmed that they wish to continue in the trial. Your patient has been randomised to receive either; a standard self-management plan and standard rescue medication pack (standard arm) Or or a self-management system that is driven by a tablet device App in conjunction with bio-profiling, and standard rescue medication pack (experimental arm). All patients will be asked to answer some study related questions on the phone but depending on their randomisation they will either receive no further mandated advice over and above the standard practice, or they will receive self-management information via the electronic App. The study data collection includes; a two-week assessment period to establish their baseline level of COPD, then the patient will be followed up over a 6-month timeframe or a 12 month timeframe. Patients with the App will be providing additional data via the App usage throughout their follow up period. Patients will also be asked if they wish agree to being contacted with regard to a qualitative sub-study, involving in-depth interviews. To provide robust follow up, we may contact you/ your surgery to ascertain any changes in the patients circumstances. If you have any concerns, questions or like any further information regarding the research, please get in touch with the University 鶹ѡ trials unit who are co- coordinators for this project. We can be contacted on 0121 415 9134 or email Predict&Prevent@trials.bham.ac.uk Yours sincerely,     Version 4.0 Vd 03-Mar-2022 Page 1 of 1 Predict&Prevent GP letter IRAS 261576      N m r ƾ춮쮶춛쓋{ocѓXhdhqXCJaJh{(h{(5CJaJh{(hy 5CJaJh{(CJaJhqXCJaJhibCJaJh(O]CJaJh CJaJhhCJaJhCJaJh}&CJaJhy CJaJhy hqXCJaJhy hy CJaJhJCJaJhy CJaJhY HCJaJhSCJaJhY H"  = > A B <^<gd{( & Fgd{($a$gdygdY H , 6 } ~  - . / 0 5 u v w   < > @ B r ȽеЭЭЭеТvkkbvbh(CJ\aJh{(h{(CJaJh(h(CJ\aJh{(CJ\aJh(h~.CJ\aJh(h~.CJaJh(h(O]CJaJh(CJaJh~.CJaJh(ch(cCJaJh(cCJaJh(O]CJaJh{(CJaJhUq CJaJhdhdCJaJhdhdCJ\aJ& # / 3 4 : Y  (dfk!)*غͺͺ|t|ihibhFCJaJh3:CJaJhFCJaJh(O]CJaJhdhibCJaJhACJaJhJCJaJhdhNCJaJhUq CJaJh(CJaJhibhibCJaJhibh(O]CJaJh{(CJaJh~.CJaJhibh~.CJaJh(h~.CJ\aJ( *+,-FGHIJ\]^_gdgdibgdY HgdY H  <^<gd{(+,EGPp $34EGHIJ^_`Ž嵭圊|kc_c_c_ch]]jh]]U hibhSCJOJQJ^JaJh_CJOJQJ^JaJ#h_B*CJOJQJ^JaJph hY HhY HCJOJQJ^JaJh{(CJaJhJCJaJhqXCJaJhy CJaJh BbCJaJh CJaJhNCJaJhY HCJaJhyCJaJhibhNCJaJ%SUVWXgdib$a$gd (:gd 7$8$H$gdY Hgd ,;EGLRygyU@0h B*CJaJnH phtH )h (:hHVB*CJPJaJnH phtH #h B*CJPJaJnH phtH #hy B*CJPJaJnH phtH #hCWUB*CJPJaJnH phtH #hi:B*CJPJaJnH phtH #hAB*CJPJaJnH phtH #hyB*CJPJaJnH phtH )hY HhzB*CJPJaJnH phtH hz!hyOJQJ^JmHnHtH u!hzOJQJ^JmHnHtH uh]]RSTUVWX hibhSCJOJQJ^JaJh]]hzhHVhA%h (:hHVB*CJaJnH phtH 21h:pQ9). 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