ObjectivesTo explore the scope of the published literature on computer-tailoring, considering both the development and the evaluation aspects, with the aim of identifying and categorising main approaches and detecting research gaps, tendencies and trends.SettingOriginal researches from any country and healthcare setting.ParticipantsPatients or health consumers with any health condition regardless of their specific characteristics.MethodA systematic scoping review was undertaken based on the York’s five-stage framework outlined by Arksey and O’Malley. Five leading databases were searched: PubMed, Scopus, Science Direct, EBSCO and IEEE for articles published between 1990 and 2017. Tailoring concept was investigated for three aspects: system design, information delivery and evaluation. Both quantitative (ie, frequencies) and qualitative (ie, theme analysis) methods have been used to synthesis the data.ResultsAfter reviewing 1320 studies, 360 articles were identified for inclusion. Two main routes were identified in tailoring literature including public health research (64%) and computer science research (17%). The most common facets used for tailoring were sociodemographic (73 %), target behaviour status (59%) and psycho-behavioural determinants (56%), respectively. The analysis showed that only 13% of the studies described the tailoring algorithm they used, from which two approaches revealed: information retrieval (12%) and natural language generation (1%). The systematic mapping of the delivery channel indicated that nearly half of the articles used the web (57%) to deliver the tailored information; printout (19%) and email (10%) came next. Analysis of the evaluation approaches showed that nearly half of the articles (53%) used an outcome-based approach, 44% used process evaluation and 3% assessed cost-effectiveness.ConclusionsThis scoping review can inform researchers to identify the methodological approaches of computer tailoring. Improvements in reporting and conduct are imperative. Further research on tailoring methodology is warranted, and in particular, there is a need for a guideline to standardise reporting.

IntroductionTailoring health information to the needs of individuals has become an important part of modern health communications. Tailoring has been addressed by researchers from different disciplines leading to the emergence of a wide range of approaches, making the newcomers confused. In order to address this, a comprehensive overview of the field with the indications of research gaps, tendencies and trends will be helpful. As a result, a systematic protocol was outlined to conduct a scoping review within the field of computer-based health information tailoring.Methods and analysisThis protocol is based on the York’s five-stage framework outlined by Arksey and O’Malley. A field-specific structure was defined as a basis for undertaking each stage. The structure comprised three main aspects: system design, information communication and evaluation. Five leading databases were searched: PubMed, Scopus, Science Direct, EBSCO and IEEE and a broad search strategy was used with less strict inclusion criteria to cover the breadth of evidence. Theoretical frameworks were used to develop the data extraction form and a rigorous approach was introduced to identify the categories from data. Several explanatory-descriptive methods were considered to analyse the data, from which some were proposed to be employed for the first time in scoping studies.Ethics and disseminationThis study investigates the breadth and depth of existing literature on computer-tailoring and as a secondary analysis, does not require ethics approval. We anticipate that the results will identify research gaps and novel ideas for future studies and provide direction to combine methods from different disciplines. The research findings will be submitted for publication to relevant peer-reviewed journals and conferences targeting health promotion and patient education.

Background and aimObstetrics and gynecology information system is a critical component of the HIS in social security organization health centers. The objective of this study was to evaluate the usability of this system using the cognitive walkthrough method. Also, the present study provided a detailed formal description of how the cognitive usability evaluation can be applied and reported for a health care information system.MethodsThis study was conducted at the Mashhad University of Medical Sciences’ usability lab from March 2016 to June 2017. A two-phase approach was used to conduct the cognitive walkthrough evaluation: preparatory and evaluation. The preparation was done in three stages: first, we investigated users’ capabilities and background knowledge through a semi-structured interview. Second, the evaluation scenario was developed based on the most common tasks in routine workflow of users. Finally, each task was broken down into sequences of actions. In the evaluation phase, three usability experts independently assessed each action using a four-item checklist. Problems were categorized thematically and were reported from three different perspectives: Question-based, Task-based, and Evaluator-based. The data were then analyzed to understand the contribution of each task, along with its mean severity score.ResultsEvaluators’ responses were compared and any conflict was resolved in an expert panel. A total of 116 usability problems were identified based on the consensus of the evaluators. Inadequate system feedback was found to be the main source of 43% of the problems, and resulted in users confusion.ConclusionSince the system was evaluated in its pilot implementation phase, there was an opportunity to prevent future potential usability problems. The use of a mixed quantitative and qualitative approach in this usability study provided a more comprehensive perspective of the system problems. This study provided a detailed description of conducting CW usability evaluation which can be used as a practical guide for future studies.

Not considering the usability in designing clinical information systems causes problems in human–computer interaction and patient dissatisfaction. Therefore, in this study, the usability of the bed information management system (BIMS) was examined by think-aloud method. This cross-sectional study was conducted on the BIMS in 50 noneducational hospitals. Participants consisted of three groups including users, facilitators, and technical support. To carry out the study, a scenario consisting of four tasks was designed. Three researchers analyzed the recorded files to identify the usability problems and their severity. The mean time of the evaluation process was 20:33 ± 4:47 s. The total number of the problems identifies by users was 80 cases. Data entry and layout problems with 38 (48%) and 33 (41%) cases were the most frequently found problems, respectively. About 61% and 55% of the data entry and layout problems had a minor severity (Severity 2), respectively. Furthermore, 43 (54%) cases of the problems were resolved by the users and 32 (40%) cases by the facilitator assistance. This study showed that a large number of the problems were due to the system poor design. Furthermore, by increasing the users’ level of knowledge about the system, it is possible to enhance user-system interaction. It is recommended that before designing and implementing a system, the system should be evaluated for usability, and the users should be educated in clinical information systems.

Introduction:The recent shift from the conventional physician-centered approach to the more polpular approach that with the focuse on patient as the center of healthcare, emphaizes on the critical role of informing and educating patients. Studies shown that tailoring health information to the needs of individuals is more effective than generic materials. Recent improvements in the fields of computer science and Information Communication Technology have made it possible to computerize such an adaptation process. Information tailoring systems use an internal representation of user conditions and needs, which is referred to as a "user model" or "user profile." A user profile represents the system's beliefs about the user. Hence, it may simply contain demographic information or sophisticated factors such as the state of the disease, user's attitude, interest, preference, and knowledge. The user profile is known as the basis for designing other system components and has a great impact on the acceptance of the system by the user and the quality of the tailored information. To the best of our knowledge, no studies have been conducted so far to analyze and classify user profile aspects and characteristics. In this systematic narrative review, we aim to provide aspects of profiling in health information tailoring systems based on literature from different diciplines. Methods:comprehensive searches of the PubMed and Scopus databases have been conducted. We searched among English papers with publishing dates ranging from 1990 onward; since that is when computer-tailoring first appeared within the literature. we have devised a list of terms pertinent to the main concepts of computer-tailoring and used a qualitative-interpretive approach for data extraction. Results:Analyzing the data from 32 eligible studies, we found three aspects in designing a tailoring user profile. Each aspect with its characteristics are provided below: 1-Identifying common factors used in profiles and classifying these factors thematically, which has three attributes: a)The number of factors used to design the user profile and their diversity (e.g. demographic,clinical,behavioral information, learning style and so forth) b)The approaches used to Identify effective factors in tailoring (e.g. evidence-based, avalible data sources) c)Attributes of the factors (e.g. long-term/short-term, static/dynamic) 2-Data collection tools and methods, which has two attributes: a) Data collection methods (e.g. explicit, implicit, mixed) b)Assessment tool (e.g. questionnaire, patient record) 3-Data interpretation that demonstrates to what extent the collected data needs to be analyzed to use in tailoring.