Dataset Information

User-Informed Medical Device Development: A Case Study for Pediatric Malnutrition Assessment.

ABSTRACT: Background. Mid-upper arm circumference (MUAC) has been extensively used to classify pediatric malnutrition. Recently, MUAC z score was recommended; however, the logistics of implementation were not addressed. This study examines the usability of a device that provides MUAC and corresponding z score range in a single device. Methods. This was a single-center study of nutrition services providers. The device was applied to children aged 2 months to 18 years admitted as inpatients or seen as outpatients. Surveys incorporated benchmarking questions, assessed the ease with which respondents could perform 6 critical tasks, and provided an open-ended question to elicit feedback. Users were surveyed monthly until saturation was reached. Survey data were analyzed in aggregate and cross-tabulated by the respondents' experience with the device. Thematic analysis of the open-ended responses followed a structured approach. Results. Sixty device users responded to the survey 280 times. Respondents were female (100%) with a mean age of 45.2 ± 13.2 years and 9.6 ± 8.0 years in practice. Increasing device use was accompanied by significantly shortened measuring times (P < .001) and shifts in ease of performance for 5 of 6 critical tasks (P < .05). Open-ended response themes related largely to design and materials. These were used to iteratively refine the device. Conclusions. The active engagement of end users in the real-world testing of our nutritional assessment device allowed us to refine the innovation with special attention paid to the needs of dietitians. The result is a device the majority of dietitians found easy to use, efficient, convenient, and preferable to alternative measurement options.

SUBMITTER: Thaete K

PROVIDER: S-EPMC6636220 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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User-Informed Medical Device Development: A Case Study for Pediatric Malnutrition Assessment.

Thaete Kristi K Rowzer Kasey K Stephens Karen K Abdel-Rahman Susan M SM

Global pediatric health 20190715

Background. Mid-upper arm circumference (MUAC) has been extensively used to classify pediatric malnutrition. Recently, MUAC z score was recommended; however, the logistics of implementation were not addressed. This study examines the usability of a device that provides MUAC and corresponding z score range in a single device. Methods. This was a single-center study of nutrition services providers. The device was applied to children aged 2 months to 18 years admitted as ...[more]

PMID: 31360739

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Project description:BackgroundThe Smart Angel home medical device allows ambulatory surgery patients to monitor their own health by taking their blood pressure and oxygen levels and answering a health questionnaire from home. Currently, this device is a prototype in the design phase, and no usability evaluation has been performed. This preventive device must be usable by patients with different profiles; however, it is important to select patients carefully to ensure their safety when using the device. As such, it would be interesting to know how to select or exclude patients. However, the links between user characteristics and the usability of this home medical device remain unclear.ObjectiveThis study aims to better understand the links between certain characteristics of potential patients (ie, age, education, technophilia, and health literacy) and the usability (ie, effectiveness, efficiency, and satisfaction) of Smart Angel, as defined by the ISO 9241-11.MethodsWe conducted an experimental study involving 36 participants investigating the effects of 4 patient characteristics (ie, age, education, technophilia, and health literacy) on usability, measured in terms of effectiveness, efficiency, and satisfaction. A mixed methods approach (subjective vs objective) using a variety of standard instruments was adopted (direct observation, video analysis, and questionnaires). First, to help participants project themselves into the real use of the Smart Angel device, they watched a scenario in a video. Second, the participants completed a set of questionnaires to show the extent of their health literacy level (Newest Vital Sign [NVS] and the Health Literacy Survey [HLS]) and then operated Smart Angel devices. Efficiency (ie, handling time) and effectiveness (ie, number of handling errors) measures were collected by video analysis. Satisfaction measures were collected by a questionnaire (System Usability Scale [SUS]). The qualitative observational data were coded using inductive analysis by 2 independent researchers specialized in cognitive psychology and cognitive ergonomics.ResultsThe results show a moderate and positive correlation between age and effectiveness (r=0.359; P=.03) and efficiency (r=0.357; P=.03). There is strong correlation between health literacy scored by the NVS and effectiveness (r=0.417; P=.01), efficiency (r=-0.38; P=.02), and satisfaction (r=0.45; P=.006). However, there is a weak correlation between technophilia and usability and no relationship between education level and usability.ConclusionsOur results show that literacy level and age are 2 important factors to consider when selecting future users of the Smart Angel device to ensure patient safety. This study also serves as an example promoting mixed methodologies in assessments of medical device usability that cannot be performed under real-world conditions.

Project description:BackgroundFalls account for approximately 50% of infant injury hospitalizations, and caretaker behavior is central to preventing infant falls. Behavior theory-informed interventions for injury prevention have been suggested, but to date, few have been reported. The potential of using smartphones for injury prevention intervention delivery is also underexploited.ObjectiveThis study aims to develop a behavior theory- and evidence-based as well as user-centered digital intervention as a mobile app for parents to prevent infant falls following agile development practices.MethodsInfant falls while feeding was selected as the fall mechanism to demonstrate the approach being taken to develop this intervention. In phase 1, the Behaviour Change Wheel was used as a theoretical framework supported by a literature review to define intervention components that were then implemented as a mobile app. In phase 2, after the person-based approach, user testing through think-aloud interviews and comprehension assessments were used to refine the content and implementation of the intervention.ResultsThe target behaviors identified in phase 1 were adequate rest for the newborn's mother and safe feeding practices defined as prepare, position, and place. From behavioral determinants and the Behaviour Change Wheel, the behavior change functions selected to achieve these target behaviors were psychological capability, social opportunity, and reflective motivation. The selected behavior change techniques aligned with these functions were providing information on health consequences, using a credible source, instruction on performing each behavior, and social support. The defined intervention was implemented in a draft Android app. In phase 2, 4 rounds of user testing were required to achieve the predefined target comprehension level. The results from the think-aloud interviews were used to refine the intervention content and app features. Overall, the results from phase 2 revealed that users found the information provided to be helpful. Features such as self-tracking and inclusion of the social and environmental aspects of falls prevention were liked by the participants. Important feedback for the successful implementation of the digital intervention was also obtained from the user testing.ConclusionsTo our knowledge, this is the first study to apply the Behaviour Change Wheel to develop a digital intervention for child injury prevention. This study provides a detailed example of evidence-based development of a behavior theory-informed mobile intervention for injury prevention refined using the person-based approach.

Project description:BackgroundWomen choosing a levonorgestrel-releasing intrauterine system may experience changes in their menstrual bleeding pattern during the first months following placement.ObjectiveAlthough health care professionals (HCPs) can provide counseling, no method of providing individualized information on the expected bleeding pattern or continued support is currently available for women experiencing postplacement bleeding changes. We aim to develop a mobile phone-based medical app (MyIUS) to meet this need and provide a digital companion to women after the placement of the intrauterine system.MethodsThe MyIUS app is classified as a medical device and uses an artificial intelligence-based bleeding pattern prediction algorithm to estimate a woman's future bleeding pattern in terms of intensity and regularity. We developed the app with the help of a multidisciplinary team by using a robust and high-quality design process in the context of a constantly evolving regulatory landscape. The development framework consisted of a phased approach including ideation, feasibility and concept finalization, product development, and product deployment or localization stages.ResultsThe MyIUS app was considered useful by HCPs and easy to use by women who were consulted during the development process. Following the launch of the sustainable app in selected pilot countries, performance metrics will be gathered to facilitate further technical and feature updates and enhancements. A real-world performance study will also be conducted to allow us to upgrade the app in accordance with the new European Commission Medical Device legislation and to validate the bleeding pattern prediction algorithm in a real-world setting.ConclusionsBy providing a meaningful estimation of bleeding patterns and allowing an individualized approach to counseling and discussions about contraceptive method choice, the MyIUS app offers a useful tool that may benefit both women and HCPs. Further work is needed to validate the performance of the prediction algorithm and MyIUS app in a real-world setting.

Project description:BackgroundUnder the Canadian Criminal Code, medical assistance in dying (MAiD) requires that patients give informed consent and that their ability to consent is assessed by 2 clinicians. In this study, we intended to understand how Canadian clinicians assessed capacity in people requesting MAiD.MethodsThis qualitative study used interviews conducted between August 2019 and February 2020, by phone, video and email, to explore how clinicians assessed capacity in people requesting MAiD, what challenges they had encountered and what tools they used. The participants were recruited from provider mailing listserves of the Canadian Association of MAiD Assessors and Providers and Aide médicale à mourir. Interviews were audio-recorded and transcribed verbatim. The research team met to review transcripts and explore themes as they emerged in an iterative manner. We used abductive reasoning for thematic analysis and coding, and continued to discuss until we reached consensus.ResultsThe 20 participants worked in 5 of 10 provinces across Canada, represented different specialties and had experience assessing a total of 2410 patients requesting MAiD. The main theme was that, for most assessments, the participants used the conversation about how the patient had come to choose MAiD to get the information they needed. When the participants used formal capacity assessment tools, this was mostly for meticulous documentation, and they rarely asked for psychiatric consults. The participants described how they approached assessing cases of nonverbal patients and other challenging cases, using techniques such as ensuring a quiet environment and adequate hearing aids, and using questions requiring only "yes" or "no" as an answer.InterpretationThe participants were comfortable doing MAiD assessments and used their clinical judgment and experience to assess capacity in ways similar to other clinical practices. The findings of this study suggest that experienced MAiD assessors do not routinely require formal capacity assessments or tools to assess capacity in patients requesting MAiD.

Project description:Aim: To provide data on the inadequate use of emergency medical transports services (EMTS) in children and underlying contributing factors. Methods: This was a prospective single-center cohort study (01/2017-12/2017) performed at the Saarland University Children's Hospital, Homburg, Germany. Patients ≤20 years of age transported by EMTS for suspected acute illness/trauma were included and proportion of inadequate/adequate EMTS use, underlying contributing factors, and additional costs were analyzed. Results: Three hundred seventy-nine patients (mean age: 9.0 ± 6.3 years; 55.7% male, 44.3% female) were included in this study. The three most common reasons for EMTS use were: central nervous system (30.6%), respiratory system affection (14.0%), and traumas (13.2%). ETMS use was categorized as inadequate depending on physician's experience: senior physician (58.8%), pediatrician (54.9%), resident (52.7%). All three physicians considered 127 (33.5%) cases to be medically indicated for transportation by EMTS, and 177 (46.7%) to be medically not indicated. The following parameters were significantly associated with inadequate EMTS use: non-acute onset of symptoms (OR 2.5), parental perception as non-life-threatening (OR 1.7), and subsequent out-patient treatment (OR 4.0). Conversely, transport by an emergency physician (OR 3.5) and first time parental EMTS call (OR 1.7) were associated with adequate use of EMTS. Moreover, a significant relation existed between maternal, respectively, paternal educational status and inadequate EMTS use (each p = 0.01). Using multiple logistic regression analysis, non-acute onset of symptoms (OR 2.2) was associated with inadequate use of EMTS while first time parental EMTS call (OR 1.8), transport by an emergency physician (OR 3.3), and need for in-patient treatment (OR 4.0) were associated with adequate use of EMTS. Conclusion: A substantial number of pediatric EMTS is medically not indicated. Possibly, specific measures including multifaceted educational efforts may be helpful in reducing unnecessary EMTS use.

Dataset Information

User-Informed Medical Device Development: A Case Study for Pediatric Malnutrition Assessment.

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User-Informed Medical Device Development: A Case Study for Pediatric Malnutrition Assessment.

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