Emily Beth Devine
University of Washington
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Featured researches published by Emily Beth Devine.
Journal of the American Medical Informatics Association | 2010
Emily Beth Devine; Ryan N. Hansen; Jennifer L. Wilson-Norton; Nathan M. Lawless; Albert W. Fisk; David K. Blough; Diane P. Martin; Sean D. Sullivan
OBJECTIVE Computerized provider order entry (CPOE) has been shown to improve patient safety by reducing medication errors and subsequent adverse drug events (ADEs). Studies demonstrating these benefits have been conducted primarily in the inpatient setting, with fewer in the ambulatory setting. The objective was to evaluate the effect of a basic, ambulatory CPOE system on medication errors and associated ADEs. DESIGN This quasiexperimental, pretest-post-test study was conducted in a community-based, multispecialty health system not affiliated with an academic medical center. The intervention was a basic CPOE system with limited clinical decision support capabilities. MEASUREMENT Comparison of prescriptions written before (n=5016 handwritten) to after (n=5153 electronically prescribed) implementation of the CPOE system. The primary outcome was the occurrence of error(s); secondary outcomes were types and severity of errors. RESULTS Frequency of errors declined from 18.2% to 8.2%-a reduction in adjusted odds of 70% (OR: 0.30; 95% CI 0.23 to 0.40). The largest reductions were seen in adjusted odds of errors of illegibility (97%), use of inappropriate abbreviations (94%) and missing information (85%). There was a 57% reduction in adjusted odds of errors that did not cause harm (potential ADEs) (OR 0.43; 95% CI 0.38 to 0.49). The reduction in the number of errors that caused harm (preventable ADEs) was not statistically significant, perhaps due to few errors in this category. CONCLUSIONS A basic CPOE system in a community setting was associated with a significant reduction in medication errors of most types and severity levels.
Journal of the American Medical Informatics Association | 2007
William Hollingworth; Emily Beth Devine; Ryan N. Hansen; Nathan M. Lawless; Bryan A. Comstock; Jennifer L. Wilson-Norton; Kathleen L. Tharp; Sean D. Sullivan
Electronic prescribing has improved the quality and safety of care. One barrier preventing widespread adoption is the potential detrimental impact on workflow. We used time-motion techniques to compare prescribing times at three ambulatory care sites that used paper-based prescribing, desktop, or laptop e-prescribing. An observer timed all prescriber (n = 27) and staff (n = 42) tasks performed during a 4-hour period. At the sites with optional e-prescribing >75% of prescription-related events were performed electronically. Prescribers at e-prescribing sites spent less time writing, but time-savings were offset by increased computer tasks. After adjusting for site, prescriber and prescription type, e-prescribing tasks took marginally longer than hand written prescriptions (12.0 seconds; -1.6, 25.6 CI). Nursing staff at the e-prescribing sites spent longer on computer tasks (5.4 minutes/hour; 0.0, 10.7 CI). E-prescribing was not associated with an increase in combined computer and writing time for prescribers. If carefully implemented, e-prescribing will not greatly disrupt workflow.
PharmacoEconomics | 2005
Emily Beth Devine; Zafar Hakim; Jesse Green
Sleep dysfunction can manifest in several ways, ranging from insomnia to somnolence, and from disrupted sleep to lack of restful sleep. Measuring sleep dysfunction is an area of active research and there exist a number of patientreported outcome instruments that measure various aspects of sleep dysfunction. However, these instruments have not been evaluated systematically. We used a conceptual model of sleep that included four physical domains of general interest to patients and investigators, and cover the breadth of this disorder: sleep initiation; sleep maintenance; sleep adequacy; and somnolence. We next considered the additional health-related quality-of-life (HR-QOL) domains of psychological and social functioning, progressing along the continuum to include health perceptions and opportunity. We then conducted a literature review to identify instruments and, using criteria developed by the Medical Outcomes Trust Scientific Advisory Committee, evaluated these instruments for their potential use in measuring sleep dysfunction.Twenty-two instruments were identified. Six instruments were found to include the four physical domains defined a priori (Basic Nordic Sleep Questionnaire, Leeds Sleep Evaluation Questionnaire, Medical Outcomes Study — Sleep Problems Measures, Pittsburgh Sleep Diary, Pittsburgh Sleep Quality Index, Self-Rated Sleep Questionnaire and the Sleep Dissatisfaction Questionnaire). Several additional instruments addressed at least some of the domains and thus may be useful for specific purposes. A few instruments addressed overall HR-QOL, but did not include all four domains of interest (Functional Outcomes of Sleep Questionnaire, Quality of Life in Insomniacs and the Sleep-Wake Activity Inventory). Two instruments had undergone extensive psychometric evaluation (Medical Outcomes Study — Sleep Problems Measures and Pittsburgh Sleep Quality Index), with only the latter reporting information about interpretability.Our review indicates that measuring sleep dysfunction in adults is an area of active research and that much work still needs to be completed, specifically the study of interpretability and the application of patient preferences or item response theory. The specific research focus should dictate instrument selection.
Pharmacotherapy | 2004
Ann K. Wittkowsky; Emily Beth Devine
Study Objective. To determine the frequency and the specific causes of over‐and underanticoagulation in patients who receive warfarin therapy and are managed in an anticoagulation clinic.
Pharmacoepidemiology and Drug Safety | 2013
William B. Wong; Vincent W. Lin; Denise M. Boudreau; Emily Beth Devine
Studies demonstrate the potential for statins to prevent dementia and Alzheimers disease (AD), but the evidence is inconclusive.
Cephalalgia | 2015
Zsolt Hepp; David W. Dodick; Sepideh F. Varon; Patrick Gillard; Ryan N. Hansen; Emily Beth Devine
Background Chronic migraine (CM) is a disabling disorder characterized by ≥15 headache days per month that has been shown to significantly reduce quality of life. Migraine-prevention guidelines recommend preventive medications as the standard of care for patients with frequent migraine. The aim of this study was to assess adherence to 14 commonly prescribed oral migraine-preventive medications (OMPMs) among patients with CM. Methods Retrospective claims analysis of a US claim database (Truven MarketScan® Databases) was queried to identify patients who were at least 18 years old, diagnosed with CM, and initiated an OMPM (antidepressants, beta blockers, or anticonvulsants) between January 1, 2008 and September 30, 2012. Medication possession ratios (MPR) and proportion of days covered (PDC) were calculated for each patient. A cutoff of ≥80% was used to classify adherence. The odds of adherence between OMPMs were compared using logistic regression models. Results Of the 75,870 patients identified with CM, 8688 met the inclusion/exclusion criteria. Adherence ranged between 26% to 29% at six months and 17% to 20% at 12 months depending on the calculation used to classify adherence (PDC and MPR, respectively). Adherence among the 14 OMPMs was similar except for amitriptyline, nortriptyline, gabapentin, and divalproex, which had significantly lower odds of adherence when compared to topiramate. Conclusion Adherence to OMPMs is low among the US CM population at six months and worsens by 12 months.
Pharmacotherapy | 2011
Emily Beth Devine; Rafael Alfonso-Cristancho; Sean D. Sullivan
Study Objective. To compare the efficacy of biologic disease‐modifying antirheumatic drugs (DMARDs) versus placebo with or without methotrexate, in treating rheumatoid arthritis.
Health Services Research | 2010
Emily Beth Devine; William Hollingworth; Ryan N. Hansen; Nathan M. Lawless; Jennifer L. Wilson-Norton; Diane P. Martin; David K. Blough; Sean D. Sullivan
OBJECTIVE To evaluate the impact of an ambulatory computerized provider order entry (CPOE ) system on the time efficiency of prescribers. Two primary aims were to compare prescribing time between (1) handwritten and electronic (e-) prescriptions and (2) e-prescriptions using differing hardware configurations. DATA SOURCES/STUDY SETTING Primary data on prescribers/staff were collected (2005-2007) at three primary care clinics in a community based, multispecialty health system. STUDY DESIGN This was a quasi-experimental, direct observation, time-motion study conducted in two phases. In phase 1 (n=69 subjects), each site used a unique combination of CPOE software/hardware (paper-based, desktops in prescriber offices or hallway workstations, or laptops). In phase 2 (n=77), all sites used CPOE software on desktops in examination rooms (at point of care). DATA COLLECTION METHODS Data were collected using TimerPro software on a Palm device. PRINCIPAL FINDINGS Average time to e-prescribe using CPOE in the examination room was 69 seconds/prescription-event (new/renewed combined)-25 seconds longer than to handwrite (99.5 percent confidence interval [CI] 12.38), and 24 seconds longer than to e-prescribe at offices/workstations (99.5 percent CI 8.39). Each calculates to 20 seconds longer per patient. CONCLUSIONS E-prescribing takes longer than handwriting. E-prescribing at the point of care takes longer than e-prescribing in offices/workstations. Improvements in safety and quality may be worth the investment of time.
JAMA Dermatology | 2012
Vincent W. Lin; Sarah Ringold; Emily Beth Devine
OBJECTIVE To compare the efficacy of ustekinumab with that of other biological agents using the Psoriasis Area and Severity Index (PASI) among adult patients with moderate to severe plaque psoriasis. DATA SOURCES We conducted a systematic search of the period January 31, 1992, to February 1, 2012, using MEDLINE (PubMed), Embase, the Cochrane Library, and clinicaltrials.gov. STUDY SELECTION We included randomized controlled trials of biological agents compared with placebo or other biological agents using the PASI in patients who had moderate to severe plaque psoriasis. DATA EXTRACTION Study data were extracted independently by 2 of us, with disagreement resolved by consensus. Data extracted included the size of the trial, follow-up period, age range of patients, disease duration, body surface area involvement, baseline PASI, PASI response, and previous treatment with biological agents. DATA SYNTHESIS A Bayesian network meta-analysis was performed by fitting 3 regression models: a fixed-effects model, a random-effects model, and a random-effects model with meta-regression coefficients. The random-effects model achieved the best fit for these data. In pairwise comparisons, ustekinumab use was associated with statistically significantly higher odds for achieving a 75% reduction in the PASI compared with adalimumab use (odds ratio [OR], 1.84; 95% credible interval [CrI], 1.01-3.54), alefacept use (OR, 10.38; CrI, 3.44-27.62), and etanercept use (OR, 2.07; 95% CrI, 1.42-3.06) but was associated with lower odds compared with infliximab use (OR, 0.36; 95% CrI, 0.14-0.82) . In the therapeutic class comparison, the interleukin-12/23 inhibitor had the highest odds for achieving a 75% reduction in the PASI compared with placebo (OR, 69.48; 95% CrI, 36.89-136.46), followed by tumor necrosis factor inhibitors (OR, 42.22; 95% CrI, 27.94-69.34) and the T-cell inhibitor (OR, 5.63; 95% CrI, 1.35-24.24). CONCLUSION For the treatment of moderate to severe plaque psoriasis, ustekinumab may be more efficacious than adalimumab, etanercept, and alefacept but not infliximab.
BMC Medical Informatics and Decision Making | 2010
Emily Beth Devine; Emily C. Williams; Diane P. Martin; Dean F. Sittig; Peter Tarczy-Hornoch; Thomas H. Payne; Sean D. Sullivan
BackgroundThe United States (US) Health Information Technology for Economic and Clinical Health Act of 2009 has spurred adoption of electronic health records. The corresponding meaningful use criteria proposed by the Centers for Medicare and Medicaid Services mandates use of computerized provider order entry (CPOE) systems. Yet, adoption in the US and other Western countries is low and descriptions of successful implementations are primarily from the inpatient setting; less frequently the ambulatory setting. We describe prescriber and staff perceptions of implementation of a CPOE system for medications (electronic- or e-prescribing system) in the ambulatory setting.MethodsUsing a cross-sectional study design, we conducted eight focus groups at three primary care sites in an independent medical group. Each site represented a unique stage of e-prescribing implementation - pre/transition/post. We used a theoretically based, semi-structured questionnaire to elicit physician (n=17) and staff (n=53) perceptions of implementation of the e-prescribing system. We conducted a thematic analysis of focus group discussions using formal qualitative analytic techniques (i.e. deductive framework and grounded theory). Two coders independently coded to theoretical saturation and resolved discrepancies through discussions.ResultsTen themes emerged that describe perceptions of e-prescribing implementation: 1) improved availability of clinical information resulted in prescribing efficiencies and more coordinated care; 2) improved documentation resulted in safer care; 3) efficiencies were gained by using fewer paper charts; 4) organizational support facilitated adoption; 5) transition required time; resulted in workload shift to staff; 6) hardware configurations and network stability were important in facilitating workflow; 7) e-prescribing was time-neutral or time-saving; 8) changes in patient interactions enhanced patient care but required education; 9) pharmacy communications were enhanced but required education; 10) positive attitudes facilitated adoption.ConclusionsPrescribers and staff worked through the transition to successfully adopt e-prescribing, and noted the benefits. Overall impressions were favorable. No one wished to return to paper-based prescribing.