메뉴 건너뛰기




Volumn 14, Issue 1, 2013, Pages

The correlation between the number of eligible patients in routine clinical practice and the low recruitment level in clinical trials: A retrospective study using electronic medical records

Author keywords

Accrual; Clinical informatics; Clinical trials; Eligibility determination; Research patient recruitment

Indexed keywords

ADULT; ARTICLE; CLINICAL PRACTICE; CLINICAL TRIAL (TOPIC); ELECTRONIC MEDICAL RECORD; FEASIBILITY STUDY; HUMAN; INTERMETHOD COMPARISON; MULTICENTER STUDY (TOPIC); PHASE 1 CLINICAL TRIAL (TOPIC); PHASE 2 CLINICAL TRIAL (TOPIC); PHASE 3 CLINICAL TRIAL (TOPIC); PHASE 4 CLINICAL TRIAL (TOPIC); RETROSPECTIVE STUDY; SENSITIVITY AND SPECIFICITY;

EID: 84889853192     PISSN: None     EISSN: 17456215     Source Type: Journal    
DOI: 10.1186/1745-6215-14-426     Document Type: Article
Times cited : (12)

References (25)
  • 3
    • 84856218422 scopus 로고    scopus 로고
    • Clinical trial implementation and recruitment: lessons learned from the early closure of a randomized clinical trial
    • 10.1016/j.cct.2011.11.018, 3577351, 22155024, Sickle Cell Disease Clinical Research Network (SCDCRN)
    • Peters-Lawrence MH, Bell MC, Hsu LL, Osunkwo I, Seaman P, Blackwood M, Guillaume E, Bellevue R, Krishnamurti L, Smith WR, Dampier CD, Minniti CP, . Sickle Cell Disease Clinical Research Network (SCDCRN) Clinical trial implementation and recruitment: lessons learned from the early closure of a randomized clinical trial. Contemp Clin Trials 2012, 33:291-297. 10.1016/j.cct.2011.11.018, 3577351, 22155024, Sickle Cell Disease Clinical Research Network (SCDCRN).
    • (2012) Contemp Clin Trials , vol.33 , pp. 291-297
    • Peters-Lawrence, M.H.1    Bell, M.C.2    Hsu, L.L.3    Osunkwo, I.4    Seaman, P.5    Blackwood, M.6    Guillaume, E.7    Bellevue, R.8    Krishnamurti, L.9    Smith, W.R.10    Dampier, C.D.11    Minniti, C.P.12
  • 4
    • 84857884564 scopus 로고    scopus 로고
    • Improving the recruitment activity of clinicians in randomised controlled trials: a systematic review
    • 3253423, 22228729
    • Fletcher B, Gheorghe A, Moore D, Wilson S, Damery S. Improving the recruitment activity of clinicians in randomised controlled trials: a systematic review. BMJ Open 2012, 2:e000496. 3253423, 22228729.
    • (2012) BMJ Open , vol.2
    • Fletcher, B.1    Gheorghe, A.2    Moore, D.3    Wilson, S.4    Damery, S.5
  • 5
    • 78651085042 scopus 로고    scopus 로고
    • Accrual and drop out in a primary prevention randomised controlled trial: qualitative study
    • 10.1186/1745-6215-12-7, 3024954, 21223551
    • Eborall HC, Stewart MC, Cunningham-Burley S, Price JF, Fowkes FG. Accrual and drop out in a primary prevention randomised controlled trial: qualitative study. Trials 2011, 12:7. 10.1186/1745-6215-12-7, 3024954, 21223551.
    • (2011) Trials , vol.12 , pp. 7
    • Eborall, H.C.1    Stewart, M.C.2    Cunningham-Burley, S.3    Price, J.F.4    Fowkes, F.G.5
  • 6
    • 34548652177 scopus 로고    scopus 로고
    • A systematic review highlights threats to validity in studies of barriers to cancer trial participation
    • Fayter D, McDaid C, Eastwood A. A systematic review highlights threats to validity in studies of barriers to cancer trial participation. J Clin Epidemiol 2007, 60:990-1001.
    • (2007) J Clin Epidemiol , vol.60 , pp. 990-1001
    • Fayter, D.1    McDaid, C.2    Eastwood, A.3
  • 7
    • 27644587470 scopus 로고    scopus 로고
    • Effect of a clinical trial alert system on physician participation in trial recruitment
    • 10.1001/archinte.165.19.2272, 1343501, 16246994
    • Embi PJ, Jain A, Clark J, Bizjack S, Hornung R, Harris CM. Effect of a clinical trial alert system on physician participation in trial recruitment. Arch Intern Med 2005, 165:2272-2277. 10.1001/archinte.165.19.2272, 1343501, 16246994.
    • (2005) Arch Intern Med , vol.165 , pp. 2272-2277
    • Embi, P.J.1    Jain, A.2    Clark, J.3    Bizjack, S.4    Hornung, R.5    Harris, C.M.6
  • 9
    • 77950801495 scopus 로고    scopus 로고
    • The Health Informatics Trial Enhancement Project (HITE): Using routinely collected primary care data to identify potential participants for a depression trial
    • 10.1186/1745-6215-11-39, 2864261, 20398303
    • McGregor J, Brooks C, Chalasani P, Chukwuma J, Hutchings H, Lyons RA, Lloyd K. The Health Informatics Trial Enhancement Project (HITE): Using routinely collected primary care data to identify potential participants for a depression trial. Trials 2010, 11:39. 10.1186/1745-6215-11-39, 2864261, 20398303.
    • (2010) Trials , vol.11 , pp. 39
    • McGregor, J.1    Brooks, C.2    Chalasani, P.3    Chukwuma, J.4    Hutchings, H.5    Lyons, R.A.6    Lloyd, K.7
  • 10
    • 77950867408 scopus 로고    scopus 로고
    • Automated matching software for clinical trials eligibility: measuring efficiency and flexibility
    • 10.1016/j.cct.2010.03.005, 20230913
    • Penberthy L, Brown R, Puma F, Dahman B. Automated matching software for clinical trials eligibility: measuring efficiency and flexibility. Contemp Clin Trials 2010, 31:207-217. 10.1016/j.cct.2010.03.005, 20230913.
    • (2010) Contemp Clin Trials , vol.31 , pp. 207-217
    • Penberthy, L.1    Brown, R.2    Puma, F.3    Dahman, B.4
  • 11
    • 70350453781 scopus 로고    scopus 로고
    • Electronic screening improves efficiency in clinical trial recruitment
    • 10.1197/jamia.M3119, 3002129, 19717797
    • Thadani SR, Weng C, Bigger JT, Ennever JF, Wajngurt D. Electronic screening improves efficiency in clinical trial recruitment. J Am Med Inform Assoc 2009, 16:869-873. 10.1197/jamia.M3119, 3002129, 19717797.
    • (2009) J Am Med Inform Assoc , vol.16 , pp. 869-873
    • Thadani, S.R.1    Weng, C.2    Bigger, J.T.3    Ennever, J.F.4    Wajngurt, D.5
  • 12
    • 77953657954 scopus 로고    scopus 로고
    • Routine data from hospital information systems can support patient recruitment for clinical studies
    • 10.1177/1740774510363013, 20338903
    • Dugas M, Lange M, Muller-Tidow C, Kirchhof P, Prokosch HU. Routine data from hospital information systems can support patient recruitment for clinical studies. Clin Trials 2010, 7:183-189. 10.1177/1740774510363013, 20338903.
    • (2010) Clin Trials , vol.7 , pp. 183-189
    • Dugas, M.1    Lange, M.2    Muller-Tidow, C.3    Kirchhof, P.4    Prokosch, H.U.5
  • 13
    • 79851516668 scopus 로고    scopus 로고
    • A clinical trial alert tool to recruit large patient samples and assess selection bias in general practice research
    • 10.1186/1471-2288-11-16, 3047292, 21320358
    • Heinemann S, Thuring S, Wedeken S, Schafer T, Scheidt-Nave C, Ketterer M, Himmel W. A clinical trial alert tool to recruit large patient samples and assess selection bias in general practice research. BMC Med Res Methodol 2011, 11:16. 10.1186/1471-2288-11-16, 3047292, 21320358.
    • (2011) BMC Med Res Methodol , vol.11 , pp. 16
    • Heinemann, S.1    Thuring, S.2    Wedeken, S.3    Schafer, T.4    Scheidt-Nave, C.5    Ketterer, M.6    Himmel, W.7
  • 14
    • 0042285946 scopus 로고    scopus 로고
    • Using OncoDoc as a computer-based eligibility screening system to improve accrual onto breast cancer clinical trials
    • 10.1016/S0933-3657(03)00040-X, 12957785
    • Seroussi B, Bouaud J. Using OncoDoc as a computer-based eligibility screening system to improve accrual onto breast cancer clinical trials. Artif Intell Med 2003, 29:153-167. 10.1016/S0933-3657(03)00040-X, 12957785.
    • (2003) Artif Intell Med , vol.29 , pp. 153-167
    • Seroussi, B.1    Bouaud, J.2
  • 15
    • 84874300125 scopus 로고    scopus 로고
    • Secondary use of routinely collected patient data in a clinical trial: an evaluation of the effects on patient recruitment and data acquisition
    • Kopcke F, Kraus S, Scholler A, Nau C, Schuttler J, Prokosch HU, Ganslandt T. Secondary use of routinely collected patient data in a clinical trial: an evaluation of the effects on patient recruitment and data acquisition. Int J Med Inform 2012, 82:185-192.
    • (2012) Int J Med Inform , vol.82 , pp. 185-192
    • Kopcke, F.1    Kraus, S.2    Scholler, A.3    Nau, C.4    Schuttler, J.5    Prokosch, H.U.6    Ganslandt, T.7
  • 17
    • 84871082731 scopus 로고    scopus 로고
    • A pragmatic method for electronic medical record-based observational studies: developing an electronic medical records retrieval system for clinical research
    • 3533000, 23117567
    • Yamamoto K, Sumi E, Yamazaki T, Asai K, Yamori M, Teramukai S, Bessho K, Yokode M, Fukushima M. A pragmatic method for electronic medical record-based observational studies: developing an electronic medical records retrieval system for clinical research. BMJ Open 2012, 2:e001622. 3533000, 23117567.
    • (2012) BMJ Open , vol.2
    • Yamamoto, K.1    Sumi, E.2    Yamazaki, T.3    Asai, K.4    Yamori, M.5    Teramukai, S.6    Bessho, K.7    Yokode, M.8    Fukushima, M.9
  • 19
    • 77952742925 scopus 로고    scopus 로고
    • Formal representation of eligibility criteria: a literature review
    • 10.1016/j.jbi.2009.12.004, 2878905, 20034594
    • Weng C, Tu SW, Sim I, Richesson R. Formal representation of eligibility criteria: a literature review. J Biomed Inform 2010, 43:451-467. 10.1016/j.jbi.2009.12.004, 2878905, 20034594.
    • (2010) J Biomed Inform , vol.43 , pp. 451-467
    • Weng, C.1    Tu, S.W.2    Sim, I.3    Richesson, R.4
  • 20
    • 79952761747 scopus 로고    scopus 로고
    • A practical method for transforming free-text eligibility criteria into computable criteria
    • 10.1016/j.jbi.2010.09.007, 3129371, 20851207
    • Tu SW, Peleg M, Carini S, Bobak M, Ross J, Rubin D, Sim I. A practical method for transforming free-text eligibility criteria into computable criteria. J Biomed Inform 2011, 44:239-250. 10.1016/j.jbi.2010.09.007, 3129371, 20851207.
    • (2011) J Biomed Inform , vol.44 , pp. 239-250
    • Tu, S.W.1    Peleg, M.2    Carini, S.3    Bobak, M.4    Ross, J.5    Rubin, D.6    Sim, I.7
  • 22
    • 84855953110 scopus 로고    scopus 로고
    • Dynamic categorization of clinical research eligibility criteria by hierarchical clustering
    • 10.1016/j.jbi.2011.06.001, 3183114, 21689783
    • Luo Z, Yetisgen-Yildiz M, Weng C. Dynamic categorization of clinical research eligibility criteria by hierarchical clustering. J Biomed Inform 2011, 44:927-935. 10.1016/j.jbi.2011.06.001, 3183114, 21689783.
    • (2011) J Biomed Inform , vol.44 , pp. 927-935
    • Luo, Z.1    Yetisgen-Yildiz, M.2    Weng, C.3
  • 23
    • 67650478016 scopus 로고    scopus 로고
    • Estimation of patient accrual rates in clinical trials based on routine data from hospital information systems
    • 10.3414/ME0582, 19387510
    • Dugas M, Amler S, Lange M, Gerss J, Breil B, Kopcke W. Estimation of patient accrual rates in clinical trials based on routine data from hospital information systems. Methods Inf Med 2009, 48:263-266. 10.3414/ME0582, 19387510.
    • (2009) Methods Inf Med , vol.48 , pp. 263-266
    • Dugas, M.1    Amler, S.2    Lange, M.3    Gerss, J.4    Breil, B.5    Kopcke, W.6
  • 25
    • 25144435468 scopus 로고    scopus 로고
    • The Japanese healthcare system
    • 10.1136/bmj.331.7518.648, 1226232, 16179678
    • Nomura H, Nakayama T. The Japanese healthcare system. BMJ 2005, 331:648-649. 10.1136/bmj.331.7518.648, 1226232, 16179678.
    • (2005) BMJ , vol.331 , pp. 648-649
    • Nomura, H.1    Nakayama, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.