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Impact of clinic characteristics on the adoption of a guideline-based standing order algorithm and patient accrual in the pragmatic cluster-randomized trial SWOG S1415CD (NCT02728596).

Publication ,  Conference
Watabayashi, K; Bell-Brown, A; Egan, K; Kreizenbeck, KL; Lyman, GH; Hershman, DL; Bansal, A; Barlow, WE; Sullivan, SD; Ramsey, SD
Published in: Journal of Clinical Oncology
October 20, 2018

60 Background: The S1415CD intervention requires the integration of guideline-based prescribing recommendations and standing orders for primary prophylactic colony stimulating factors into existing chemotherapy order systems at community practices within the National Cancer Institute’s Community Oncology Research Program. We looked at the impact of clinic level characteristics on the length of time needed to successfully adopt the intervention and subsequent patient accrual. Methods: We calculated the length of time between randomization and intervention completion for each intervention arm clinic and classified them as short onset (2-5 months, N = 5), medium onset (6-8 months, N = 12) or long onset (10-12 months, N = 7). We compared baseline survey responses about clinic characteristics to onset times. Results: Type of EMR software and the number of chemotherapy regimens reconfigured for the trial had no effect on onset time. All short and medium onset clinics placed orders through an EMR, while 5 of 7 long onset clinics used paper orders. Long onset clinics had less reported nurse involvement in the reconfiguration workflow (change initiation, approval, fulfillment and dissemination) at 14% of clinics vs. 25% of medium onset and 75% of short onset clinics. The average weekly patient accrual rates observed after intervention completion were 1.0 in the short onset (range 0.6-1.5), 0.8 in the medium onset (0.2-1.3) and 0.6 in the long onset (0.1-2.0). Conclusions: When recruiting clinics for trials that require health record system changes, it may be helpful to consider aspects of the system modification workflow such as type of hospital departments involved, as clinics with less nursing involvement may take longer to complete the changes. The inclusion of clinics using different EMR software did not impede onset, but clinics using paper may require more time. Length of onset had no meaningful impact on weekly accrual rates; however, it did determine when clinics could start recruitment, affecting the total number of months clinics could recruit during the study accrual period. Clinical trial information: NCT02728596.

Duke Scholars

Published In

Journal of Clinical Oncology

DOI

EISSN

1527-7755

ISSN

0732-183X

Publication Date

October 20, 2018

Volume

36

Issue

30_suppl

Start / End Page

60 / 60

Publisher

American Society of Clinical Oncology (ASCO)

Related Subject Headings

  • Oncology & Carcinogenesis
  • 3211 Oncology and carcinogenesis
  • 1112 Oncology and Carcinogenesis
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Watabayashi, K., Bell-Brown, A., Egan, K., Kreizenbeck, K. L., Lyman, G. H., Hershman, D. L., … Ramsey, S. D. (2018). Impact of clinic characteristics on the adoption of a guideline-based standing order algorithm and patient accrual in the pragmatic cluster-randomized trial SWOG S1415CD (NCT02728596). In Journal of Clinical Oncology (Vol. 36, pp. 60–60). American Society of Clinical Oncology (ASCO). https://doi.org/10.1200/jco.2018.36.30_suppl.60
Watabayashi, Kate, Ari Bell-Brown, Kathryn Egan, Karma L. Kreizenbeck, Gary H. Lyman, Dawn L. Hershman, Aasthaa Bansal, William E. Barlow, Sean D. Sullivan, and Scott David Ramsey. “Impact of clinic characteristics on the adoption of a guideline-based standing order algorithm and patient accrual in the pragmatic cluster-randomized trial SWOG S1415CD (NCT02728596).” In Journal of Clinical Oncology, 36:60–60. American Society of Clinical Oncology (ASCO), 2018. https://doi.org/10.1200/jco.2018.36.30_suppl.60.
Watabayashi K, Bell-Brown A, Egan K, Kreizenbeck KL, Lyman GH, Hershman DL, et al. Impact of clinic characteristics on the adoption of a guideline-based standing order algorithm and patient accrual in the pragmatic cluster-randomized trial SWOG S1415CD (NCT02728596). In: Journal of Clinical Oncology. American Society of Clinical Oncology (ASCO); 2018. p. 60–60.
Watabayashi, Kate, et al. “Impact of clinic characteristics on the adoption of a guideline-based standing order algorithm and patient accrual in the pragmatic cluster-randomized trial SWOG S1415CD (NCT02728596).Journal of Clinical Oncology, vol. 36, no. 30_suppl, American Society of Clinical Oncology (ASCO), 2018, pp. 60–60. Crossref, doi:10.1200/jco.2018.36.30_suppl.60.
Watabayashi K, Bell-Brown A, Egan K, Kreizenbeck KL, Lyman GH, Hershman DL, Bansal A, Barlow WE, Sullivan SD, Ramsey SD. Impact of clinic characteristics on the adoption of a guideline-based standing order algorithm and patient accrual in the pragmatic cluster-randomized trial SWOG S1415CD (NCT02728596). Journal of Clinical Oncology. American Society of Clinical Oncology (ASCO); 2018. p. 60–60.

Published In

Journal of Clinical Oncology

DOI

EISSN

1527-7755

ISSN

0732-183X

Publication Date

October 20, 2018

Volume

36

Issue

30_suppl

Start / End Page

60 / 60

Publisher

American Society of Clinical Oncology (ASCO)

Related Subject Headings

  • Oncology & Carcinogenesis
  • 3211 Oncology and carcinogenesis
  • 1112 Oncology and Carcinogenesis
  • 1103 Clinical Sciences