Use of the Electronic Medical Record to Facilitate Intervention for Patients With Rising Prostate-Specific Antigen Values After Radical Prostatectomy: A Feasibility Study

2017 ◽  
pp. 1-6
Author(s):  
Amar U. Kishan ◽  
Eric M. Cheng ◽  
Eric Schmidt ◽  
Christopher Saigal ◽  
Robert E. Reiter ◽  
...  

Purpose Salvage radiotherapy (SRT) is the standard of care offered when postprostatectomy prostate-specific antigen (PSA) levels are ≥ 0.2 ng/mL. However, emerging evidence suggests that early SRT (ie, SRT delivered at PSA values < 0.2 ng/mL, but generally ≥ 0.05 ng/mL) improves oncologic outcomes. We evaluated the feasibility of improving referral rates for discussion of early SRT by using a dynamic registry that identifies through the electronic medical record patients with rising postprostatectomy PSA levels. Methods We developed an iteratively updated registry that identifies patients who fall within two postoperative PSA strata: ≥ 0.05 to < 0.1 ng/mL and ≥ 0.1 to < 0.2 ng/mL. We compared referral rates to radiation oncology during a 3-year period before use of this registry with those during a 1-year period after promotion of the registry in multidisciplinary tumor board settings. Results Before promotion of the registry, referral rates for patients with PSA values ≥ 0.05 to < 0.1 ng/mL and ≥ 0.1 to < 0.2 ng/mL were 35% and 65%, respectively. After promotion of the registry, referral rates within each stratum increased significantly to 82% and 94%, respectively ( P < .05 for both by Fisher’s exact test). The overall rate of referral for patients with PSA values ≥ 0.05 to < 0.2 ng/mL rose from 48% to 90% ( P < .001). Conclusion The creation of a registry of patients with rising postprostatectomy PSA values can facilitate increased referral rates for early SRT without burdening providers with a clinical support tool embedded within the EMR itself. This is true even in the case of already high baseline rates of referral for early SRT. The changes reported herein most likely reflect a Hawthorne effect wherein the ability to track referrals rather than a direct function of the registry influenced practice patterns. Nonetheless, the registry provided an integral framework to allow for tracking.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Melissa T. Baysari ◽  
Mai H. Duong ◽  
Patrick Hooper ◽  
Michaela Stockey-Bridge ◽  
Selvana Awad ◽  
...  

Abstract Background Despite growing evidence that deprescribing can improve clinical outcomes, quality of life and reduce the likelihood of adverse drug events, the practice is not widespread, particularly in hospital settings. Clinical risk assessment tools, like the Drug Burden Index (DBI), can help prioritise patients for medication review and prioritise medications to deprescribe, but are not integrated within routine care. The aim of this study was to conduct formative usability testing of a computerised decision support (CDS) tool, based on DBI, to identify modifications required to the tool prior to trialling in practice. Methods Our CDS tool comprised a DBI MPage in the electronic medical record (clinical workspace) that facilitated review of a patient’s DBI and medication list, access to deprescribing resources, and the ability to deprescribe. Two rounds of scenario-based formative usability testing with think-aloud protocol were used. Seventeen end-users participated in the testing, including junior and senior doctors, and pharmacists. Results Participants expressed positive views about the DBI CDS tool but testing revealed a number of clear areas for improvement. These primarily related to terminology used (i.e. what is a DBI and how is it calculated?), and consistency of functionality and display. A key finding was that users wanted the CDS tool to look and function in a similar way to other decision support tools in the electronic medical record. Modifications were made to the CDS tool in response to user feedback. Conclusion Usability testing proved extremely useful for identifying components of our CDS tool that were confusing, difficult to locate or to understand. We recommend usability testing be adopted prior to implementation of any digital health intervention. We hope our revised CDS tool equips clinicians with the knowledge and confidence to consider discontinuation of inappropriate medications in routine care of hospitalised patients. In the next phase of our project, we plan to pilot test the tool in practice to evaluate its uptake and effectiveness in supporting deprescribing in routine hospital care.


2013 ◽  
Vol 190 (5) ◽  
pp. 1750-1756 ◽  
Author(s):  
Guillaume Ploussard ◽  
Frédéric Staerman ◽  
Jean Pierrevelcin ◽  
Rodrigue Saad ◽  
Jean-Baptiste Beauval ◽  
...  

2017 ◽  
Vol 24 (4) ◽  
pp. 311 ◽  
Author(s):  
Bridget L Ryan ◽  
Joshua Shadd ◽  
Heather Maddocks ◽  
Moira Stewart ◽  
Amardeep Thind ◽  
...  

Background:  A referral from a family physician (FP) to a specialist is an inflection point in the patient journey, with potential implications for clinical outcomes and health policy. Primary care electronic medical record (EMR) databases offer opportunities to examine referral patterns. Until recently, software techniques were not available to model these kinds of multi-level count data. Objective:  To establish methodology for determining referral rates from FPs to medical specialists using the Canadian Primary Care Sentinel Surveillance Network (CPCSSN) EMR database. Method: Retrospective cohort study, mixed effects and multi-level negative binomial regression modelling with 87,258 eligible patients between 2007 and 2012. Mean referrals compared by patient sex, age, chronic conditions, FP visits, and urban/rural practice location.  Proportion of variance in referral rates attributable to the patient and practice levels. Results:  On average, males had 0.26, and females 0.31 referrals in a 12-month period.  Referrals were significantly higher for females, increased with age, FP visits, and number of chronic conditions (p<.0001). Overall, 14% of the variance in referrals could be attributed to the practice level, and 86% to patient level characteristics. Conclusions:  Both patient and practice characteristics influenced referral patterns. The methodologic insights gained from this study have relevance to future studies on many research questions that utilize count data, both within primary care and broader health services research. The utility of the CPCSSN database will continue to increase in tandem with data quality improvements, providing a valuable resource to study Canadian referral patterns over time.


Stroke ◽  
2012 ◽  
Vol 43 (12) ◽  
pp. 3399-3401 ◽  
Author(s):  
Kamakshi Lakshminarayan ◽  
Nassir Rostambeigi ◽  
Candace C. Fuller ◽  
James M. Peacock ◽  
Albert W. Tsai

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