Use of tele-nursing in primary care: A qualitative study on its negative and positive aspects / Uso de teleenfermería en atención primaria: estudio cualitativo sobre sus aspectos negativos y positivos

Objective To analyze the opinions of nursing professionals on the current limitations and future potential of digital tools in healthcare. Design Qualitative and descriptive study. Location The study took place during an asynchronous MOODLE course on the use of ICT in healthcare, specifically aimed at nursing professionals. Participants The number of nurses enrolled in the course was 150. Methods A qualitative study was conducted focusing on the positive and negative aspects that telenursing can offer in the context of a Moodle training in new technologies for nurses. A thematic analysis was carried out following the method proposed by Braun and Clarke. Results In the end 68 nurses participated in the forum. Their statements, opinions and perceptions were analyzed and 28 descriptive codes were obtained and subsequently categorized into positive and negative aspects. Conclusions Nurses positively value the usefulness of digital tools and identify a wide range of benefits of telenursing in daily practice. At the same time, they point out crucial limitations that may slow down the adoption of telenursing, pointing to areas for improvement such as training and digital literacy of both patients and professionals. They consider that telenursing can humanise care, but insist on the need to prevent its use from increasing health inequalities. (AU)

Objetivo Analizar las opiniones de los profesionales de enfermería sobre las limitaciones actuales y el potencial futuro de las herramientas digitales en la atención sanitaria. Diseño Estudio cualitativo y descriptivo. Lugar El estudio se desarrolló durante un curso MOODLE asíncrono sobre el uso de las TIC en la atención sanitaria, dirigido específicamente a profesionales de enfermería. Participantes El número de enfermeras inscritas en el curso fue de 150. MétodosSe realizó un estudio cualitativo centrado en los aspectos positivos y negativos que puede ofrecer la teleenfermería en el contexto de una formación Moodle en nuevas tecnologías para enfermeras. Se realizó un análisis temático siguiendo el método propuesto por Braun y Clarke. Resultados Finalmente participaron en el foro 68 enfermeras. Se analizaron las declaraciones, las opiniones y las percepciones de las mismas, obteniéndose 28 códigos descriptivos que posteriormente se categorizaron en aspectos positivos y negativos. Conclusiones Las enfermeras valoran positivamente la utilidad de las herramientas digitales e identifican una amplia gama de beneficios de la teleenfermería en la práctica diaria. Al mismo tiempo, señalan limitaciones cruciales que pueden ralentizar la adopción de la teleenfermería, señalando áreas de mejora como la formación y la alfabetización digital tanto de pacientes como de profesionales. Consideran que la teleenfermería puede humanizar la asistencia, pero insisten en la necesidad de evitar que su uso aumente las desigualdades en salud. (AU)

Short-Term Effects of Manual Therapy on Balance: A Multicenter, Randomized, Double-Blind Controlled Trial.

OBJECTIVE: The purpose of this study was to analyze short-term changes in dynamic and static balance after a manual therapy protocol in healthy participants and analyze any repercussions on mood and perception of change after applying articulatory techniques. METHODS: A single-blind, randomized, multicenter clinical trial was conducted. Participants were allocated to either a manual therapy group (MTG) (n = 101) or a control group (CG) without intervention (n = 99), and measures were taken before treatment, after the intervention, and 1 week after treatment. Assessments included the Star Excursion Balance Test, Unipedal Stance Test (UPST), Profile of Mood States (POMS), and Patient Global Impression of Change (PGIC) scale. RESULTS: Two hundred healthy participants completed the study (mean age, 22 [SD = 2.67]). There was a statistically significant interaction between groups and time measurements in the right leg for anterior (P = .003), posteromedial (P < .001), and posterolateral (P = .001) directions in favor of the MTG, as well as in the left leg for anterior (P < .001), posteromedial (P < .001), and posterolateral (P = .012) directions. The analysis failed to show statistically significant interactions between any of the factors for the UPST and POMS (P > .05). The MTG showed a significant improvement compared to the CG after treatment (P = .003) and at 1-week follow-up (P < .001) on the PGIC scale. CONCLUSION: The results suggest the MT intervention was effective on dynamic balance in post-intervention in healthy participants, and some of the directions maintained the results at 1-week follow-up. Perception of change in post-treatment and 1-week follow-up also significantly improved. The protocol did not seem to produce changes in static balance and mood states. Positive changes after manual therapy were maintained in the short term.

What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project.

BACKGROUND: To understand user needs, system requirements and organizational conditions towards successful design and adoption of Clinical Decision Support Systems for Type 2 Diabetes (T2D) care built on top of computerized risk models. METHODS: The holistic and evidence-based CEHRES Roadmap, used to create eHealth solutions through participatory development approach, persuasive design techniques and business modelling, was adopted in the MOSAIC project to define the sequence of multidisciplinary methods organized in three phases, user needs, implementation and evaluation. The research was qualitative, the total number of participants was ninety, about five-seventeen involved in each round of experiment. RESULTS: Prediction models for the onset of T2D are built on clinical studies, while for T2D care are derived from healthcare registries. Accordingly, two set of DSSs were defined: the first, T2D Screening, introduces a novel routine; in the second case, T2D Care, DSSs can support managers at population level, and daily practitioners at individual level. In the user needs phase, T2D Screening and solution T2D Care at population level share similar priorities, as both deal with risk-stratification. End-users of T2D Screening and solution T2D Care at individual level prioritize easiness of use and satisfaction, while managers prefer the tools to be available every time and everywhere. In the implementation phase, three Use Cases were defined for T2D Screening, adapting the tool to different settings and granularity of information. Two Use Cases were defined around solutions T2D Care at population and T2D Care at individual, to be used in primary or secondary care. Suitable filtering options were equipped with "attractive" visual analytics to focus the attention of end-users on specific parameters and events. In the evaluation phase, good levels of user experience versus bad level of usability suggest that end-users of T2D Screening perceived the potential, but they are worried about complexity. Usability and user experience were above acceptable thresholds for T2D Care at population and T2D Care at individual. CONCLUSIONS: By using a holistic approach, we have been able to understand user needs, behaviours and interactions and give new insights in the definition of effective Decision Support Systems to deal with the complexity of T2D care.

Diabetes care related process modelling using Process Mining techniques. Lessons learned in the application of Interactive Pattern Recognition: coping with the Spaghetti Effect.

Diabetes is one of the metabolic disorders with more growth expectations in next decades. The literature points to a correct self-management, to an appropriate treatment and to an adequate healthy lifestyle as a way to dramatically improve the quality of life of patients with diabetes. The implementation of a holistic diabetes care system, using rising information technologies for deploying cares based on the thesis of the Evidence-Based Medicine can be a effective solution to provide an adequate and continuous care to patients. However, the design and deployment of computer readable careflows is not a easy task. In this paper, we propose the use of Interactive Pattern Recognition techniques for the iterative design of those protocols and we analyze the problems of using Process Mining to infer careflows and how to how to cope with the resulting Spaghetti Effect.