Impact of a structured referral algorithm on the ability to monitor adherence to appropriate use criteria for transthoracic echocardiography
| dc.contributor.author | Promislow, Steven | |
| dc.contributor.author | Abunassar, Joseph G | |
| dc.contributor.author | Banihashemi, Behnam | |
| dc.contributor.author | Chow, Benjamin J | |
| dc.contributor.author | Dwivedi, Girish | |
| dc.contributor.author | Maftoon, Kasra | |
| dc.contributor.author | Burwash, Ian G | |
| dc.date.accessioned | 2016-11-21T16:14:09Z | |
| dc.date.available | 2016-11-21T16:14:09Z | |
| dc.date.issued | 2016-08-15 | |
| dc.date.updated | 2016-11-21T16:14:09Z | |
| dc.description.abstract | Abstract Background Many free-form-text referral requisitions for transthoracic echocardiography (TTE) provide insufficient information to adequately evaluate their adherence to Appropriate Use Criteria (AUC). We developed a structured referral requisition algorithm based on requisition deficiencies identified retrospectively in a derivation cohort of 1303 TTE referrals and evaluated the performance of the algorithm in a consecutive series of cardiology outpatient referrals. Methods The validation cohort comprised 286 consecutive TTE outpatient cardiology referrals over a 2-week period. The relevant AUC indication was identified from information extracted from the free-form-text requisition. The structured referral algorithm was applied prospectively to the same cohort using information from the free-form-text requisition, electronic medical record and ordering clinicians. Referrals were classified as appropriate, uncertain, non-adherent (inappropriate) or unclassifiable based on the American College of Cardiology Foundation 2011 AUC. Results Only 28.7 % of free-form-text requisitions provided adequate information to identify the relevant AUC indication, as compared to 94.4 % of referrals using the structured referral algorithm (p < 0.001). The structured algorithm improved identification in the AUC categories of general evaluation of cardiac structure/function (100 % vs. 43.0 %, p < 0.001); valvular function (100 % vs. 23.0 %, p < 0.001); hypertension, heart failure or cardiomyopathy (100 % vs. 20.3 %, p < 0.001); and adult congenital heart disease (100 % vs. 0 %, p < 0.001). By applying the algorithm, the number of identifiable non-adherent studies increased from 2.6 to 10.4 % (p <0.001). Conclusions Use of a structured TTE referral algorithm, as opposed to a free-form-text requisition, allowed the vast majority of referrals to be monitored for AUC adherence and facilitated the identification of potentially inappropriate referrals. | |
| dc.identifier.citation | Cardiovascular Ultrasound. 2016 Aug 15;14(1):31 | |
| dc.identifier.uri | http://dx.doi.org/10.1186/s12947-016-0075-2 | |
| dc.identifier.uri | https://doi.org/10.20381/ruor-389 | |
| dc.identifier.uri | http://hdl.handle.net/10393/35431 | |
| dc.language.rfc3066 | en | |
| dc.rights.holder | The Author(s). | |
| dc.title | Impact of a structured referral algorithm on the ability to monitor adherence to appropriate use criteria for transthoracic echocardiography | |
| dc.type | Journal Article |
