| 1. |
- Georgsson, Mattias
(författare)
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Quantifying usability : an evaluation of a diabetes mHealth system on effectiveness, efficiency, and satisfaction metrics with associated user characteristics
- 2016
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Ingår i: JAMIA Journal of the American Medical Informatics Association. - : Oxford University Press. - 1067-5027 .- 1527-974X. ; 23:1, s. 5-11
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Tidskriftsartikel (refereegranskat)abstract
- Objective Mobile health (mHealth) systems are becoming more common for chronic disease management, but usability studies are still needed on patients' perspectives and mHealth interaction performance. This deficiency is addressed by our quantitative usability study of a mHealth diabetes system evaluating patients' task performance, satisfaction, and the relationship of these measures to user characteristics. Materials and Methods We used metrics in the International Organization for Standardization (ISO) 9241-11 standard. After standardized training, 10 patients performed representative tasks and were assessed on individual task success, errors, efficiency (time on task), satisfaction (System Usability Scale [SUS]) and user characteristics. Results Tasks of exporting and correcting values proved the most difficult, had the most errors, the lowest task success rates, and consumed the longest times on task. The average SUS satisfaction score was 80.5, indicating good but not excellent system usability. Data trends showed males were more successful in task completion, and younger participants had higher performance scores. Educational level did not influence performance, but a more recent diabetes diagnosis did. Patients with more experience in information technology (IT) also had higher performance rates. Discussion Difficult task performance indicated areas for redesign. Our methods can assist others in identifying areas in need of improvement. Data about user background and IT skills also showed how user characteristics influence performance and can provide future considerations for targeted mHealth designs. Conclusion Using the ISO 9241-11 usability standard, the SUS instrument for satisfaction and measuring user characteristics provided objective measures of patients' experienced usability. These could serve as an exemplar for standardized, quantitative methods for usability studies on mHealth systems.
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| 2. |
- Georgsson, Mattias
(författare)
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Using activity theory as a framework for the usability evaluation process and task determination in mhealth self-management systems for diabetes
- 2018
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Ingår i: PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON WEARABLE MICRO AND NANO TECHNOLOGIES FOR PERSONALIZED HEALTH (PHEALTH 2018). - : IOS Press. - 9781614998679 ; , s. 158-163
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Konferensbidrag (refereegranskat)abstract
- mHealth systems can be used for patients in their diabetes selfmanagement, but usability evaluations are often needed to determine how to make them more useful for the diabetes patient user in the monitoring and managing of their disease. Activity Theory (AT) was developed within Russian psychology to define the work and activity process in an activity system. AT was here considered to also be a particularly suitable framework for inspiration in usability evaluation both for the whole evaluation process and also for the usability task determination in this process for diabetes patient users. In the following paper, examples are provided from four usability studies using both user-based and expert usability methods in evaluation showing how AT was applied to guide the thoughts in evaluating the usability of two mHealth self-management systems for diabetes. Experiences and insights are provided from this process. © 2018 The authors and IOS Press. All rights reserved.
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| 3. |
- Wickström, Hanna, et al.
(författare)
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Pain and analgaesics in patients with hard-to-heal ulcers : using telemedicine or standard consultations
- 2020
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Ingår i: Journal of Wound Care. - : MA Healthcare Ltd. - 0969-0700 .- 2052-2916. ; 29:Suppl 8, s. S18-S27
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Tidskriftsartikel (refereegranskat)abstract
- Objective: To compare consultations carried out via video with those performed in person for patients with painful, hard-to-heal ulcers, with a focus on ulcer pain and pain treatment. A further aim was to investigate predictors for pain and pain treatment. Method: This was a register-based, quasi-experimental study based on data from the Swedish Registry of Ulcer Treatment (RUT). A total of 100 patients with hard-to-heal ulcers diagnosed via video consultation were compared with 1888 patients diagnosed in person with regard to pain assessment, intensity and treatment. Ulcer pain intensity was assessed by the visual analogue scale (VAS). Normally distributed variables (age, VAS) were compared between consultation groups using Student's t-test. Non-normally distributed variables (ulcer size, ulcer duration) were compared using the Mann-Whitney U-test, except for healing time, which was analysed with a log-rank test. Categorical variables (gender, ulcer aetiology and prescribed analgesics) were compared using Pearson's chi-square test (chi(2)). A p value of less than 0.05 was considered to indicate statistical significance. Predictors for pain and pain treatment were analysed in multiple regression analyses. Results: The results showed a high presence of pain; 71% of patients with pain reported severe ulcer pain. There was no significant difference in ability to assess pain by VAS in the group diagnosed via video consultation (90%) compared with the group diagnosed in person (86%) (chi(2), p=0.233). A significantly higher amount of prescribed analgesics was found for patients diagnosed via video (84%) compared with patients diagnosed by in-person assessment (68%) (chi(2), p=0.044). Predictors for high-intensity pain were female gender or ulcers due to inflammatory vessel disease, while the predictors for receiving analgesics were older age, longer healing time and being diagnosed via video consultation. Conclusion: To identify, assess and treat ulcer pain is equally possible via video as by in-person consultation. The results of this study confirm that patients with hard-to-heal ulcers suffer from high-intensity ulcer pain, with a discrepancy between pain and pain relief. Further well-designed randomised controlled studies are necessary to understand how best to deploy telemedicine in ulcer pain treatment.
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| 4. |
- Widén, Cecilia, et al.
(författare)
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Periodontal conditions, retinopathy, and serum markers in individuals with type 1 diabetes
- 2020
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Ingår i: Journal of Periodontology. - : Wiley-Blackwell. - 0022-3492 .- 1943-3670. ; 91:11, s. 1436-1443
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Tidskriftsartikel (refereegranskat)abstract
- Background: The prevalence of diabetes is high and increasing. Periodontitis has been identified as a risk factor in both type 1 and 2 diabetes. The study purpose was to assess periodontal conditions, retinopathy, and serum glutamic acid decarboxylase antibody (GADA) titers in relation to retinopathy in individuals with type 1 diabetes (T1D). Methods: The study is a case series. Adult individuals with a diagnosis of T1D (n = 85) monitored ≥5 years were recruited from an endocrinology clinic. Peripheral venous blood samples were analyzed including assessments of serum HbA1c levels and GADA titers. Medical and periodontal conditions were examined, and the data assessed. Independent t tests, binary and multivariate analyses, χ2 and odds ratios were employed. Results: Gingivitis was found in 68.2%, periodontitis in 21.2%, and retinopathy in 64.7%, GADA (≥35 U/mL) in 54.1%, and serum HbA1c > 48 mmol/mol in 94.3% of the individuals. The unadjusted odds ratio for periodontitis to differentiate a diagnosis of retinopathy was 7.3 (95%CI 1.6, 4.4, P <0.01). Multivariate analyses identified the following dependent factors to differentiate retinopathy; age, T1D duration, gingivitis, periodontitis at P < 0.001, gender, and serum GADA at P < 0.01, and by the number of remaining teeth at P < 0.05. Conclusion: Retinopathy as a complication to T1D is linked to the duration of diabetes, age of the individual and with increasing severity to periodontitis. Periodontal intervention studies are warranted. © 2020 American Academy of Periodontology
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| 5. |
- Capozza, Korey
(författare)
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Going Mobile With Diabetes Support : A Randomized Study of a Text Message–Based Personalized Behavioral Intervention for Type 2 Diabetes Self-Care
- 2015
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Ingår i: Diabetes Spectrum. - : American Diabetes Association. - 1040-9165 .- 1944-7353. ; 28:2, s. 83-91
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Tidskriftsartikel (refereegranskat)abstract
- Objective. Patients with type 2 diabetes often fail to achieve self-management goals. This study tested the impact on glycemic control of a two-way text messaging program that provided behavioral coaching, education, and testing reminders to enrolled individuals with type 2 diabetes in the context of a clinic-based quality improvement initiative. The secondary aim examined patient interaction and satisfaction with the program.Methods. Ninety-three adult patients with poorly controlled type 2 diabetes (A1C >8%) were recruited from 18 primary care clinics in three counties for a 6-month study. Patients were randomized by a computer to one of two arms. Patients in both groups continued with their usual care; patients assigned to the intervention arm also received from one to seven diabetes-related text messages per day depending on the choices they made at enrollment. At 90 and 180 days, A1C data were obtained from the electronic health record and analyzed to determine changes from baseline for both groups. An exit survey was used to assess satisfaction. Enrollment behavior and interaction data were pulled from a Web-based administrative portal maintained by the technology vendor.Results. Patients used the program in a variety of ways. Twenty-nine percent of program users demonstrated frequent engagement (texting responses at least three times per week) for a period of ≥90 days. Survey results indicate very high satisfaction with the program. Both groups’ average A1C decreased from baseline, possibly reflecting a broader quality improvement effort underway in participating clinics. At 90 and 180 days, there was no statistically significant difference between the intervention and control groups in terms of change in A1C (P >0.05).Conclusions. This study demonstrated a practical approach to implementing and monitoring a mobile health intervention for self-management support across a wide range of independent clinic practices.
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| 6. |
- Georgsson, Mattias
(författare)
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A Modified User-Oriented Heuristic Evaluation of a Mobile Health System for Diabetes Self-management Support
- 2016
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Ingår i: Computers, Informatics, Nursing. - : Lippincott Williams & Wilkins. - 1538-2931 .- 1538-9774. ; 34:2, s. 77-84
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Tidskriftsartikel (refereegranskat)abstract
- Mobile health platforms offer significant opportunities for improving diabetic self-care, but only if adequate usability exists. Expert evaluations such as heuristic evaluation can provide distinct usability information about systems. The purpose of this study was to complete a usability evaluation of a mobile health system for diabetes patients using a modified heuristic evaluation technique of (1) dual-domain experts (healthcare professionals, usability experts), (2) validated scenarios and user tasks related to patients' self-care, and (3) in-depth severity factor ratings. Experts identified 129 usability problems with 274 heuristic violations for the system. The categories Consistency and Standards dominated at 24.1% (n = 66), followed by Match Between System and Real World at 22.3% (n = 61). Average severity ratings across system views were 2.8 (of 4), with 9.3% (n = 12) rated as catastrophic and 53.5% (n = 69) as major. The large volume of violations with severe ratings indicated clear priorities for redesign. The modified heuristic approach allowed evaluators to identify unique and important issues, including ones related to self-management and patient safety. This article provides a template for one type of expert evaluation adding to the informaticists' toolbox when needing to conduct a fast, resource-efficient and user-oriented heuristic evaluation.
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| 7. |
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| 8. |
- Georgsson, Mattias, 1969-, et al.
(författare)
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Employing a user-centered cognitive walkthrough to evaluate a mHealth diabetes self-management application : A case study and beginning method validation
- 2019
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Ingår i: Journal of Biomedical Informatics. - : Elsevier. - 1532-0464 .- 1532-0480. ; 91
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Tidskriftsartikel (refereegranskat)abstract
- Introduction: Self-management of chronic diseases using mobile health (mHealth) systems and applications is becoming common. Current evaluation methods such as formal usability testing can be very costly and time-consuming; others may be more efficient but lack a user focus. We propose an enhanced cognitive walkthrough (CW) method, the user-centered CW (UC-CW), to address identified deficiencies in the original technique and perform a beginning validation with think aloud protocol (TA) to assess its effectiveness, efficiency and user acceptance in a case study with diabetes patient users on a mHealth self-management application. Materials and methods: A total of 12 diabetes patients at University of Utah Health, USA, were divided into UC-CW and think aloud (TA) groups. The UC-CW method included: making the user the main evaluator for detecting usability problems, having a dual domain facilitator, and using three other improved processes: validated task development, higher level tasks and a streamlined evaluation process. Users interacted with the same mHealth application for both methods. Post-evaluation assessments included the NASA RTLX instrument and a set of brief interview questions. Results: Participants had similar demographic characteristics. A total of 26 usability problems were identified with the UC-CW and 20 with TA. Both methods produced similar ratings: severity across all views (UC-CW = 2.7 and TA = 2.6), numbers of problems in the same views (Main View [UC-CW = 11, TA = 10], Carbohydrate Entry View [UC-CW = 4, TA = 3] and List View [UC-CW = 3, TA = 3]) with similar heuristic violations (Match Between the System and Real World [UC-CW = 19, TA = 16], Consistency and Standards [UC-CW = 17, TA = 15], and Recognition Rather than Recall [UC-CW = 13, TA = 10]). Both methods converged on eight usability problems, but the UC-CW group detected five critical issues while the TA group identified two. The UC-CW group identified needed personalized features for patients’ disease needs not identified with TA. UC-CW was more efficient on average time per identified usability problem and on the total evaluation process with patients. NASA RTLX scores indicated that participants experienced the UC-CW half as cognitively demanding. Common themes from interviews indicated the UC-CW as enjoyable and easy to perform while TA was considered somewhat awkward and more cognitively challenging. Conclusions: UC-CW was effective for finding severe, recurring usability problems and it highlighted the need for personalized user features. The method was also efficient and had high user acceptance. These results indicate UC-CW's utility and user acceptance in evaluating a mHealth self-management application. It provides an additional usability evaluation technique for researchers. © 2019
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| 9. |
- Hahn, Max, et al.
(författare)
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Quantitative 3D OPT and LSFM datasets of pancreata from mice with streptozotocin-induced diabetes
- 2022
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Ingår i: Scientific Data. - : Nature Publishing Group. - 2052-4463. ; 9:1
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Tidskriftsartikel (refereegranskat)abstract
- Mouse models for streptozotocin (STZ) induced diabetes probably represent the most widely used systems for preclinical diabetes research, owing to the compound's toxic effect on pancreatic beta-cells. However, a comprehensive view of pancreatic beta-cell mass distribution subject to STZ administration is lacking. Previous assessments have largely relied on the extrapolation of stereological sections, which provide limited 3D-spatial and quantitative information. This data descriptor presents multiple ex vivo tomographic optical image datasets of the full beta-cell mass distribution in mice subject to single high and multiple low doses of STZ administration, and in glycaemia recovered mice. The data further include information about structural features, such as individual islet beta-cell volumes, spatial coordinates, and shape as well as signal intensities for both insulin and GLUT2. Together, they provide the most comprehensive anatomical record of the effects of STZ administration on the islet of Langerhans in mice. As such, this data descriptor may serve as reference material to facilitate the planning, use and (re)interpretation of this widely used disease model.
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| 10. |
- Lundberg, Jenny, 1976-, et al.
(författare)
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Early Signs of Diabetes Explored from an Engineering Perspective
- 2019
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Ingår i: Smart Industry & Smart Education. - Cham : Springer. - 9783319956787 - 9783319956770 ; , s. 22-31
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Konferensbidrag (refereegranskat)abstract
- Undetected diabetes is a global issue, estimated to over 200 million persons affected. Engineering opportunities in capturing early signs of diabetes has a potential due to the complexity to interpret early signs and link it to diabetes. Persons with untreated diabetes are doubled in risk of getting cardiovascular diseases and may also suffer other consequent diseases. In Sweden, approximately 450 thousand have diabetes where 80-90% are of type 2 with 1/4 unaware of it, i.e. approx. 100 thousand. Screening approaches, searching specifically for diabetes in persons not showing symptoms has been initiated with positive results. However, some general drawbacks of screening such as false sense of security are an issue. In this publication, we focus upon in home measurements and empowering of the individual in identifying early signs of diabetes. The methods in this publication are to gather data, evaluate and give suggestion if clinical test to confirm or reject diabetes. In home measurements, education process with companies for innovation possibilities.
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