Home self-management of type 2 diabetes with diabetes technologies in northern France: a focused ethnographic study protocol.

Introduction: Type 2 diabetes is a chronic condition associated with impaired glucose tolerance and a high prevalence of comorbidity, polypharmacy and medication safety incidents. Little is known about the patient work associated with using diabetes management technologies by patients and their informal caregivers at home. This study aims to apply a systems engineering approach to better understand this work.

Can the integration of new rules into a clinical decision support system reduce the incidence of acute kidney injury and hyperkalemia among hospitalized older adults: a protocol for a stepped-wedge, cluster-randomized trial (DETECT-IP).

Background: Clinical decision support systems (CDSSs) enable the automated, real-time detection of situations associated with a risk of adverse drug events (ADEs). However, the effectiveness of CDSS in reducing ADEs has yet to be demonstrated. We have chosen to focus on the detection of ADE such as hyperkalemia and/or acute kidney injury (AKI), which are common among hospitalized older adults.

Barriers encountered with clinical data warehouses: Recommendations from a focus group.

Background And Objective: The increasing implementation and use of electronic health records over the last few decades has made a significant volume of clinical data being available. Over the past 20 years, hospitals have also adopted and implemented data warehouse technology to facilitate the reuse of administrative and clinical data for research. However, the implementation of clinical data warehouses encounters a set of barriers: ethical, legislative, technical, human and organizational.

Usability Checklists for Health Technology: Case Study and Experts' Opinions.

Application of usability evaluations throughout the health technology lifecycle is necessary to improve the efficiency, safety, and effectiveness of health service delivery. Unfortunately, technology vendors and healthcare organizations may not have funding, time or expertise to conduct usability studies. In this paper, we describe how usability checklists can potentially fill this gap.

Usability Evaluation Ecological Validity: Is More Always Better?

Background: The ecological validity associated with usability testing of health information technologies (HITs) can affect test results and the predictability of real-world performance. It is, therefore, necessary to identify conditions with the greatest effect on validity.

Method: We conducted a comparative analysis of two usability testing conditions.

Detectability of use errors in summative usability tests of medical devices: Impact of the test environment.

The regulations on summative usability evaluations of medical devices (MDs) emphasize that the test environment must have sufficient ecological validity for generalization to real-life use. Here, we examined the influence of environmental fidelity (a component of ecological validity) on the detectability of MD use errors. A total of 140 participants participated in a summative usability evaluation of an anaphylactic shock auto-injector device under either a high-fidelity condition or a condition acceptable from the manufacturer's perspective, lower-fidelity condition.

One Health: Insights from Organizational & Social, Technology Assessment and Human Factors Perspectives.

Objectives: To offer diverse but complementary perspectives on how biomedical and health informatics can be informed by and help to achieve the vision of One Health.

Methods: Overview of key considerations and critical discussion of common themes, barriers and opportunities, based on collaborative review by International Medical Informatics Association (IMIA) working group members active in related fields.

Results: Health and care systems are complex sociotechnical systems that need explicit design and implementation strategies to align with the goals of One Health.

The medication self-management work system of patients and informal carers from a human factors & ergonomics perspective: A scoping review protocol.

Healthcare is increasingly delivered closer to the patients' homes, which increases the level of responsibility that patients and informal carers take for managing their medication-taking, although this is associated with hazards. Medication self-management has been conceptualised as work taking place in non-formal settings ( , households), which are complex systems. Human factors and ergonomics (HFE) models provide a framework for studying such systems.

Organizational and Human Factors in Green Medical Informatics - A Case Study in Dutch Hospitals.

Medical Informatics brings methods and solutions that could support reducing healthcare's ecological footprint. Initial frameworks for Green Medical Informatics solutions are available, however these do not address organizational and human factors. Including these factors in evaluation or analysis of (technical) interventions aimed at making healthcare more sustainable, is essential for improving usability as well as effectiveness of these interventions.

Considering Work Systems and Processes in Assessing the Impact of a CDSS Intervention: Preliminary Results.

The DetecIP project aims to implement multifactorial dynamic rules within a computerized decision support system (CDSS) for pharmaceutical analysis of orders to reduce the rate and severity of iatrogenic hyperkalemia and acute kidney injury. However, understanding the impact of this intervention (if any) requires that the way in which it influences the work systems and processes also be studied. This study presents the preliminary results of the analysis of the work contexts in which these rules will be implemented.

Inter-Professional Communications During Follow-Up of Type 2 Diabetes Patients: An Exploratory Study.

Follow-up of patients with type 2 diabetes mellitus (T2DM) involves several healthcare professionals. The quality of their communication is crucial for optimizing care. This exploratory work aims to characterize those communications and their problems.

Comparison of the validity, perceived usefulness, and usability of I-MeDeSA and TEMAS, two tools to evaluate alert system usability.

Objective: Two tools are currently available in the literature to evaluate the usability of medication alert systems, the instrument for evaluating human factors principles in medication-related decision support alerts (I-MeDeSA) and the tool for evaluating medication alerting systems (TEMAS). This study aimed to compare their convergent validity, perceived usability, usefulness, strengths, and weaknesses, as well as users' preferences.

Method: To evaluate convergent validity, two experts mapped TEMAS' items against I-MeDeSA's items with respect to the usability dimensions they target.

Medication-Related Outcomes and Health Equity: Evidence for Pharmaceutical Care.

Marginalised people experience diminished access to pharmaceutical care and worse medication-related outcomes than the general population. Health equity is a global priority. This article explores the key evidence of health inequity and medication use, structures the causes and contributory factors and suggests opportunities that can be taken to advance the pharmaceutical care agenda so as to achieve health equity.

Integration of a new technology into a work system: a case study of a smart drinking glass in French nursing homes.

Purpose: To reduce the risk of dehydration in older adults, the French company Auxivia has developed a smart drinking glass (SDG) that can measure the amount of water drunk. The present study looked at the various work systems (WSs) designed for use of the SDG in a nursing home. The study's objectives were to (i) determine the WSs' impact on the staff's ability to comply with the device's prerequisites and ensure the device's effective use and (ii) draw up guidelines on designing work systems.

Definition of a Practical Taxonomy for Referencing Data Quality Problems in Health Care Databases.

Introduction: Health care information systems can generate and/or record huge volumes of data, some of which may be reused for research, clinical trials, or teaching. However, these databases can be affected by data quality problems; hence, an important step in the data reuse process consists in detecting and rectifying these issues. With a view to facilitating the assessment of data quality, we developed a taxonomy of data quality problems in operational databases.

Improving the usability and usefulness of computerized decision support systems for medication review by clinical pharmacists: A convergent, parallel evaluation.

Background: Computerized decision support systems (CDSSs) help hospital-based clinical pharmacists to perform medication reviews and so are promising tools for improving medication safety. However, their poor usability can reduce effectiveness and acceptability.

Objectives: To evaluate the usability and perceived usefulness of a CDSS for medication review by hospital-based pharmacists and to draw up guidelines on improving its usability.

Master's Degree in Health Data Science: Implementation and Assessment After Five Years.

Health data science is an emerging discipline that bridges computer science, statistics and health domain knowledge. This consists of taking advantage of the large volume of data, often complex, to extract information to improve decision-making. We have created a Master's degree in Health Data Science to meet the growing need for data scientists in companies and institutions.

Development and usage of an anesthesia data warehouse: lessons learnt from a 10-year project.

This paper describes the development and implementation of an anesthesia data warehouse in the Lille University Hospital. We share the lessons learned from a ten-year project and provide guidance for the implementation of such a project. Our clinical data warehouse is mainly fed with data collected by the anesthesia information management system and hospital discharge reports.

Awareness and Perception of Google® Reviews Among French GPs.

The objective of this study was to assess the perception of French general practitioners (GPs) and the impact of the Google® online physician rating system. We questioned the French GPs with a self-administered questionnaire. A total of 412 GPs had answered the complete questionnaire.

Improving Parents' Experience in the Pediatric Emergency Waiting Room: Researching the Most Optimal Design for an Information Tool.

To improve parents' experience in the pediatric emergency waiting room by means of an information tool, the information needs of parents and pediatric patients need to be determined. It is necessary to find an optimal design for the information needed to be understandable by and useful to the parents. This paper presents the first step of designing an information tool aiming to improve patient/parent experience, encourage the understanding of the care process, and optimize the patient-caregiver relationship.

Overcoming Challenges to Inclusive User-based Testing of Health Information Technology with Vulnerable Older Adults: Recommendations from a Human Factors Engineering Expert Inquiry.

Objectives: Involving representative users in usability testing of health information technology (HIT) is central to user-centered design. However, (vulnerable) older adults as representative users have unique requirements. Aging processes may affect physical capabilities and cognitive skills, which can hamper testing with this demographic and may require special attention and revised protocols.

Designing Formulae for Ranking Search Results: Mixed Methods Evaluation Study.

Background: A major factor in the success of any search engine is the relevance of the search results; a tool should sort the search results to present the most relevant documents first. Assessing the performance of the ranking formula is an important part of search engine evaluation. However, the methods currently used to evaluate ranking formulae mainly collect quantitative data and do not gather qualitative data, which help to understand what needs to be improved to tailor the formulae to their end users.

The Optimal Sample Size for Usability Testing, From the Manufacturer's Perspective: A Value-of-Information Approach.

Objectives: For medical devices, a usability assessment is mandatory for market access; the objective is to detect potentially harmful use errors that stem from the device's design. The manufacturer assesses the final version of the device and determines the risk-benefit ratio for remaining errors. Nevertheless, the decision rule currently used to determine the sample size for this testing has statistical limitations and the lack of a clear decision-making perspective.