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Background: Gestational diabetes mellitus (GDM) is an increasing health risk for pregnant women as well as their children. Telehealth interventions targeted at the management of GDM have been shown to be effective, but they still require health care professionals for providing guidance and feedback. Feedback from wearable sensors has been suggested to support the self-management of GDM, but it is unknown how self-tracking should be designed in clinical care., Objective: This study aimed to investigate how to support the self-management of GDM with self-tracking of continuous blood glucose and lifestyle factors without help from health care personnel. We examined comprehensive self-tracking from self-discovery (ie, learning associations between glucose levels and lifestyle) and user experience perspectives., Methods: We conducted a mixed methods study where women with GDM (N=10) used a continuous glucose monitor (CGM; Medtronic Guardian) and 3 physical activity sensors: activity bracelet (Garmin Vivosmart 3), hip-worn sensor (UKK Exsed), and electrocardiography sensor (Firstbeat 2) for a week. We collected data from the sensors, and after use, participants took part in semistructured interviews about the wearable sensors. Acceptability of the wearable sensors was evaluated with the Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire. Moreover, maternal nutrition data were collected with a 3-day food diary, and self-reported physical activity data were collected with a logbook., Results: We found that the CGM was the most useful sensor for the self-discovery process, especially when learning associations between glucose and nutrition intake. We identified new challenges for using data from the CGM and physical activity sensors in supporting self-discovery in GDM. These challenges included (1) dispersion of glucose and physical activity data in separate applications, (2) absence of important trackable features like amount of light physical activity and physical activities other than walking, (3) discrepancy in the data between different wearable physical activity sensors and between CGMs and capillary glucose meters, and (4) discrepancy in perceived and measured quantification of physical activity. We found the body placement of sensors to be a key factor in measurement quality and preference, and ultimately a challenge for collecting data. For example, a wrist-worn sensor was used for longer compared with a hip-worn sensor. In general, there was a high acceptance for wearable sensors., Conclusions: A mobile app that combines glucose, nutrition, and physical activity data in a single view is needed to support self-discovery. The design should support tracking features that are important for women with GDM (such as light physical activity), and data for each feature should originate from a single sensor to avoid discrepancy and redundancy. Future work with a larger sample should involve evaluation of the effects of such a mobile app on clinical outcomes., Trial Registration: Clinicaltrials.gov NCT03941652; https://clinicaltrials.gov/study/NCT03941652., (©Mikko Kytö, Saila Koivusalo, Heli Tuomonen, Lisbeth Strömberg, Antti Ruonala, Pekka Marttinen, Seppo Heinonen, Giulio Jacucci. Originally published in JMIR Diabetes (https://diabetes.jmir.org), 31.10.2023.)

Sediments polluted by historical emissions from anthropogenic point sources are common in industrialized parts of the world and pose a potential threat to the function of aquatic ecosystems. Gradient studies using fish as a bioindicator are an option to assess the ecological impact of locally polluted areas. This study investigates the remaining effects of historical emissions on sediments outside ten Swedish pulp and paper mills using perch (Perca fluviatilis). The aim has been to obtain a general picture of the impact area of local deposits of cellulose fiber-rich sediments containing elevated levels of trace metals, e.g., Hg, and organochlorines, e.g., dioxins. In addition to analyzing contaminant levels in muscle and liver tissue, morphological measures in the fish that constitute biomarkers for health and reproductivity were measured. Another aim was to augment existing historical data sets to observe possible signs of environmental recovery. Overall, the results indicate only a minor elevation in contaminant levels and a minor impact on the fish health status in the polluted areas, which in several cases is an improvement from historical conditions. However, exceptions exist. Differences in the ecosystems' responses to pollution loads are primarily explained by abiotic factors such as water turnover rate, bottom dynamic conditions, and water chemistry. Weaknesses in the sampling methodology and processing of data were identified. After minor modifications, the applied survey strategy has the potential to be a management tool for decision-makers working on the remediation of contaminated areas., (© 2022. The Author(s).)

Background: Gestational diabetes (GDM) has considerable and increasing health effects as it raises both the mother's and the offspring's risk for short- and long-term health problems. GDM can usually be treated with a healthier lifestyle, such as appropriate dietary modifications and sufficient physical activity. Although telemedicine interventions providing weekly or more frequent feedback from health care professionals have shown the potential to improve glycemic control among women with GDM, apps without extensive input from health care professionals are limited and have not been shown to be effective. Different features in personalization and support have been proposed to increase the efficacy of GDM apps, but the knowledge of how these features should be designed is lacking., Objective: The aim of this study is to investigate how GDM apps should be designed, considering the desirable features based on the previous literature., Methods: We designed an interactive GDM prototype app that provided example implementations of desirable features, such as providing automatic and personalized suggestions and social support through the app. Women with GDM explored the prototype and provided feedback in semistructured interviews., Results: We identified that (1) self-tracking data in GDM apps should be extended with written feedback, (2) habits and goals should be highly customizable to be useful, (3) the app should have different functions to provide social support, and (4) health care professionals should be notified through the app if something unusual occurs. In addition, we found 2 additional themes. First, basic functionalities that are fast to learn by women with GDM who have recently received the diagnosis should be provided, but there should also be deeper features to maintain interest for women with GDM at a later stage of pregnancy. Second, as women with GDM may have feelings of guilt, the app should have a tolerance for and a supporting approach to unfavorable behavior., Conclusions: The feedback on the GDM prototype app supported the need for desirable features and provided new insights into how these features should be incorporated into GDM apps. We expect that following the proposed designs and feedback will increase the efficacy of GDM self-management apps., Trial Registration: ClinicalTrials.gov NCT03941652; https://clinicaltrials.gov/ct2/show/NCT03941652., (©Mikko Kytö, Saila Koivusalo, Antti Ruonala, Lisbeth Strömberg, Heli Tuomonen, Seppo Heinonen, Giulio Jacucci. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 12.10.2022.)

Abstract: The aim of this study was to describe the patients' nursing care needs in a forensic psychiatric setting in line with the NANDA-I classification. Ten patients sentenced to forensic psychiatric care were interviewed. Data were analyzed by means of directed content analysis with a deductive approach, where we used "served time" as a factor in the analysis, thus creating three categories: newly arrived patients with a length of stay of only a couple of years, patients with a length of stay of around 5 years, and patients with a length of stay of more than 5 years. Thirteen NANDA-I diagnoses were identified during the analyses, distributed on seven different domains. When distributing the given NANDA-I diagnoses according to the created categories, an explanatory pattern emerged, and three themes became apparent: denial, insight, and listlessness. Considering the differences in views, the patients' own recognition of what is a problem, a potential, or a risk could improve a "working relation" and, eventually, a recovery. NANDA-I nursing diagnoses may improve individualized and person-centered care as NANDA-I makes care continuously consistent over time., Competing Interests: The authors declare no conflict of interest., (Copyright © 2021 International Association of Forensic Nurses.)

Seventy years ago, the Swedish pediatrician Rolf Kostmann (1909-1982) was the first to report on a previous unknown lethal hereditary neutropenia in infants, Kostmann's disease. This essay presents the man behind the syndrome rather than focusing on the disease itself.

More than 1,000 Swedish hospital beds are occupied by patients in forensic psychiatric settings; their average length of hospitalization is 3-7 years. In this context, nursing diagnoses could be extremely useful to make nursing care structured, measurable, and internationally comparable. The study aimed to describe nursing diagnoses in a Swedish forensic psychiatric setting., Methods: Data were collected from electronic patient records of 55 patients in a medium-secure forensic psychiatric setting in Sweden. Anonymized data were entered into a database where entries were transformed into figures. Descriptive statistics were used, and frequencies, means, and percentages were calculated. The variables employed were characteristics and related factors, according to NANDA-International (NANDA-I) and International Statistical Classification of Dieseases and Related Heatlh Problems, 10th Revision (ICD-10), diagnoses., Results: The patients had between 1 and 13 NANDA-I diagnoses each. Forty-one of the 55 patients had psychosis as the primary ICD-10 code. The identified nursing diagnoses described the patients' status upon arrival in the forensic psychiatric setting. Of the 55 patients, entries in the patient records describing 300 signs and symptoms (i.e., characteristics and related factors) were found. From these signs and symptoms, 371 entries that fit NANDA-I diagnoses were identified, representing 20 different NANDA-I diagnoses., Conclusion: NANDA-I diagnoses individualize patient care, making care person centered. NANDA-I is used all over the world and has the potential to make nursing care structured, measurable, and internationally comparable.

Aims and Objectives: To describe transsexual persons' experiences of encounters with healthcare professionals during the sex reassignment process., Background: Transsexual persons are individuals who use varying means to alter their natal sex via hormones and/or surgery. Transsexual persons may experience stigma, which increases the risk of psychological distress. Mistreatments by healthcare professionals are common. Qualitative studies addressing transsexual persons' experiences of healthcare are scarce., Design: Qualitative descriptive design., Methods: A Swedish non-clinical convenience sample was used, consisting of six persons who had been diagnosed as transsexual, gone through sex reassignment surgery or were at the time of the interview awaiting surgery. Semi-structured interviews were undertaken, and data were analysed using manifest qualitative content analysis., Results: Three categories and 15 subcategories were identified. The encounters were perceived as good when healthcare professionals showed respect and preserved the transsexual person's integrity, acted in a professional manner and were responsive and built trust and confidence. However, the participants experienced that healthcare professionals varied in their level of knowledge, exploited their position of power, withheld information, expressed gender stereotypical attitudes and often used the wrong name. They felt vulnerable by having a condescending view of themselves, and they could not choose not to be transsexual. They felt dependent on healthcare professionals, and that the external demands were high., Conclusions: Transsexual persons are in a vulnerable position during the sex reassignment surgery process. The encounters in healthcare could be negatively affected if healthcare professionals show inadequate knowledge, exploit their position of power or express gender stereotypical attitudes. A good encounter is characterised by preserved integrity, respect, responsiveness and trust., Relevance to Clinical Practice: Improved education on transgender issues in nursing and medical education is warranted. Healthcare professionals should be aware of how their attitudes and their level of knowledge affect the care given during the sex reassignment surgery process., (© 2016 John Wiley & Sons Ltd.)