Development and validation of a survey instrument for assessing prescribers' perception of computerized drug-drug interaction alerts

Zheng, Kai; Fear, Kathleen; Chaffee, Bruce W.; Zimmerman, Christopher R.; Karls, Edward M.; Gatwood, Justin; Stevenson, James G.; Pearlman, Mark D.

doi:10.1136/amiajnl-2010-000053

Cited by 18 publications

(22 citation statements)

References 90 publications

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“…We started from the hypothesis that satisfaction with a specific technological tool could be one dimensional, although some authors recommend considering more domains 26. Different tools have been used to measure satisfaction with CPOE,15 most of which were developed by the researchers themselves 24.…”

Section: Discussionmentioning

confidence: 99%

Proposed model to determine satisfaction with computerised provider order entry systems in a long-stay hospital

Carrera-Hueso¹,

Merino-Plaza

Ramón-Barrios³

et al. 2017

Eur J Hosp Pharm

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ObjectivesComputerised provider order entry (CPOE) systems reduce medication errors, but are not without dangers. Knowing satisfaction with the CPOE helps to improve its implementation. Our objective was to determine the satisfaction of healthcare professionals with the CPOE in a long-stay hospital and to propose a single model.MethodsA cross-sectional study in a long-stay hospital. Two questionnaires were distributed to determine satisfaction with CPOE, one for medical personnel (MP) and another for nursing personnel (NP). Data collected were: sex, age and work aspects. A strategy for item refinement and creation of a single scale was designed.ResultsThe overall participation rate was 63.6%, with 68 responses from the target population of 107. Overall, 72.2% (13 of 18) of MP and 40% (20 of 50) of NP were satisfied with CPOE. Regarding the specific questions on satisfaction in the questionnaires, 88.9% (n=16) of MP were very satisfied but only 56.0% (n=28) of NP. The median of each question was 4, with the exception of those for NP referring to a faster process and improved coordination, which were 3 and 3.5, respectively. The items weighing more in the second component were eliminated and the questions merged. After refining the items, a final six-item model was obtained with a single component of high reliability (Cronbach’s α=0.896), which accounts for 67% of total variance.ConclusionThe degree of satisfaction with CPOE in a long-stay hospital was high, though lower in NP than MP. Obtaining a single questionnaire can facilitate this process.

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Section: Discussionmentioning

confidence: 99%

Proposed model to determine satisfaction with computerised provider order entry systems in a long-stay hospital

Carrera-Hueso¹,

Merino-Plaza

Ramón-Barrios³

et al. 2017

Eur J Hosp Pharm

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“…Although the TAM model has been applied across a number of health contexts and technologies [26,27] only few studies related to medication safety [15,59], CDSS [46,58] or the ED context [60] could be identified. To our knowledge, TAM2 has not been previously applied in the ED area making this one of the first studies of its kind.…”

Section: Discussionmentioning

confidence: 99%

“…Several studies demonstrated that computerized CDSS were not successful due to limited or no system use [10-14]. The launch of such systems requires an adequate awareness and the determination to alter existing medication procedures, thus making user acceptance a key factor for successful implementation [15]. Several methods and models have been published to examine factors which influence the acceptance of innovations.…”

Section: Introductionmentioning

confidence: 99%

Comparative evaluation of different medication safety measures for the emergency department: physicians’ usage and acceptance of training, poster, checklist and computerized decision support

Sedlmayr

Patapovas

Kirchner

et al. 2013

BMC Med Inform Decis Mak

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BackgroundAlthough usage and acceptance are important factors for a successful implementation of clinical decision support systems for medication, most studies only concentrate on their design and outcome. Our objective was to comparatively investigate a set of traditional medication safety measures such as medication safety training for physicians, paper-based posters and checklists concerning potential medication problems versus the additional benefit of a computer-assisted medication check. We concentrated on usage, acceptance and suitability of such interventions in a busy emergency department (ED) of a 749 bed acute tertiary care hospital.MethodsA retrospective, qualitative evaluation study was conducted using a field observation and a questionnaire-based survey. Six physicians were observed while treating 20 patient cases; the questionnaire, based on the Technology Acceptance Model 2 (TAM2), has been answered by nine ED physicians.ResultsDuring field observations, we did not observe direct use of any of the implemented interventions for medication safety (paper-based and electronic). Questionnaire results indicated that the electronic medication safety check was the most frequently used intervention, followed by checklist and posters. However, despite their positive attitude, physicians most often stated that they use the interventions in only up to ten percent for subjectively “critical” orders. Main reasons behind the low usage were deficits in ease-of-use and fit to the workflow. The intention to use the interventions was rather high after overcoming these barriers.ConclusionsMethodologically, the study contributes to Technology Acceptance Model (TAM) research in an ED setting and confirms TAM2 as a helpful diagnostic tool in identifying barriers for a successful implementation of medication safety interventions. In our case, identified barriers explaining the low utilization of the implemented medication safety interventions - despite their positive reception - include deficits in accessibility, briefing for the physicians about the interventions, ease-of-use and compatibility to the working environment.

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“…17 Although systematically evaluating DDI alert satisfaction is recommended, only 1 known survey instrument has been developed and evaluated psychometrically. 18 The developers of this tool recommended that it be used as part of comprehensive efforts to assess clinicians, including alert data and metrics. 18 However, we did not find published studies in which this tool was used to guide DDI alert improvement efforts.…”

mentioning

confidence: 99%

“…18 The developers of this tool recommended that it be used as part of comprehensive efforts to assess clinicians, including alert data and metrics. 18 However, we did not find published studies in which this tool was used to guide DDI alert improvement efforts.…”

mentioning

confidence: 99%

Optimizing Drug-Drug Interaction Alerts Using a Multidimensional Approach

Daniels¹,

Burlison²,

Baker

et al. 2019

Pediatrics

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OBJECTIVES: Excessive alerts are a common concern associated with clinical decision support systems that monitor drug-drug interactions (DDIs). To reduce the number of low-value interruptive DDI alerts at our hospital, we implemented an iterative, multidimensional quality improvement effort, which included an interdisciplinary advisory group, alert metrics, and measurement of perceived clinical value.

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Development and validation of a survey instrument for assessing prescribers' perception of computerized drug-drug interaction alerts

Abstract: We developed and empirically validated a survey instrument that may be useful for future research on DDI alerts and other types of computerized medication safety alerts more generally.

Cited by 18 publications

References 90 publications

Proposed model to determine satisfaction with computerised provider order entry systems in a long-stay hospital

Proposed model to determine satisfaction with computerised provider order entry systems in a long-stay hospital

Comparative evaluation of different medication safety measures for the emergency department: physicians’ usage and acceptance of training, poster, checklist and computerized decision support

Optimizing Drug-Drug Interaction Alerts Using a Multidimensional Approach

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