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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.
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.
Background Mobile devices can provide extendable learning environments in higher education and motivate students to engage in adaptive and collaborative learning. Developers must design mobile apps that are practical, effective, and easy to use, and usability testing is essential for understanding how mobile apps meet users’ needs. No previous reviews have investigated the usability of mobile apps developed for health care education. Objective The aim of this scoping review is to identify usability methods and attributes in usability studies of mobile apps for health care education. Methods A comprehensive search was carried out in 10 databases, reference lists, and gray literature. Studies were included if they dealt with health care students and usability of mobile apps for learning. Frequencies and percentages were used to present the nominal data, together with tables and graphical illustrations. Examples include a figure of the study selection process, an illustration of the frequency of inquiry usability evaluation and data collection methods, and an overview of the distribution of the identified usability attributes. We followed the Arksey and O’Malley framework for scoping reviews. Results Our scoping review collated 88 articles involving 98 studies, mainly related to medical and nursing students. The studies were conducted from 22 countries and were published between 2008 and 2021. Field testing was the main usability experiment used, and the usability evaluation methods were either inquiry-based or based on user testing. Inquiry methods were predominantly used: 1-group design (46/98, 47%), control group design (12/98, 12%), randomized controlled trials (12/98, 12%), mixed methods (12/98, 12%), and qualitative methods (11/98, 11%). User testing methods applied were all think aloud (5/98, 5%). A total of 17 usability attributes were identified; of these, satisfaction, usefulness, ease of use, learning performance, and learnability were reported most frequently. The most frequently used data collection method was questionnaires (83/98, 85%), but only 19% (19/98) of studies used a psychometrically tested usability questionnaire. Other data collection methods included focus group interviews, knowledge and task performance testing, and user data collected from apps, interviews, written qualitative reflections, and observations. Most of the included studies used more than one data collection method. Conclusions Experimental designs were the most commonly used methods for evaluating usability, and most studies used field testing. Questionnaires were frequently used for data collection, although few studies used psychometrically tested questionnaires. The usability attributes identified most often were satisfaction, usefulness, and ease of use. The results indicate that combining different usability evaluation methods, incorporating both subjective and objective usability measures,...
BACKGROUND Mobile devices can provide extendable learning environments in higher education and motivate students to engage in adaptive and collaborative learning. Developers must design mobile applications that are practical, effective and easy-to-use, and usability testing is essential for understanding how mobile applications meet users’ needs. No previous reviews have investigated the usability of mobile applications developed for healthcare education. OBJECTIVE The aim of this scoping review was to identify usability methods and attributes in usability studies of mobile applications for healthcare education. METHODS A comprehensive search was carried out in ten databases, reference lists and grey literature. Studies were included if they dealt with healthcare students and the usability of mobile applications for learning. The data extraction sheet for included studies was completed by one author and checked by another author. Frequencies and percentages were used to present the nominal data, together with tables and graphical illustrations. Examples of these include a figure of the study selection process, an illustration of the frequency of inquiry usability evaluation and data collection methods, and an overview of the distribution of identified usability attributes. We followed Arksey and O’Malley’s framework for scoping reviews. RESULTS Our scoping review collates 88 articles involving 98 studies, mainly related to medical and nursing students. The studies are from 22 countries and were published between 2008 and 2021. Field testing was the main usability experiment used, and the usability evaluation methods were either inquiry-based or user-testing methods. Inquiry methods were predominantly used: one-group design (n=46), control-group design (n=12), randomised control trials (n=12), mixed methods (n=12) and qualitative methods (n=11). User testing methods applied were all think aloud (n=5). Seventeen usability attributes were identified: satisfaction, usefulness, ease of use, learning performance and learnability were reported most frequently. The data collection method used most frequently was questionnaires (n=83), but only 19 studies used a psychometrically tested usability questionnaire. Other data collection methods include focus group interviews, knowledge and task performance testing and user data collected from applications, interviews, written qualitative reflections and observations. Most of the included studies used more than one data collection method. CONCLUSIONS Field testing and experimental designs were the most commonly used methods for evaluating usability, including questionnaires as data collection methods. We recommend combining different usability evaluation methods to incorporate both subjective and objective usability measures. In future studies, it would be advantageous to use psychometrically tested usability questionnaires. In addition, developers of mobile applications should decide on the relevant usability attributes before conducting a usability study. Developing a reporting guideline would be beneficial and support future usability studies, and this scoping review can guide the planning and conduct of future usability studies in healthcare education. INTERNATIONAL REGISTERED REPORT RR2-10.2196/19072
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