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The aim of this study was to evaluate the feasibility, acceptability and preliminary effectiveness of I-PASS-structured (Identification—Patient—Action—Situation—Synthesis) bedside nursing handovers on the handover global quality and the patients trust in nurses.
Oral end-of-shift nursing handovers can become moments of patient vulnerability. Moving handovers from nurses' offices to patients' bedsides is a means of improving them; however, implementing this remains a challenge.
This was a Type-1 effectiveness–implementation hybrid study.
We measured the effectiveness using a simple interrupted time series with three measurement points before and after the introduction of I-PASS-structured bedside nursing handovers between August and November 2022. Implementation was explored using multi-method measurements of quantitative and qualitative data. As an implementation strategy, we developed a specific training session, including simulations.
Bedside nursing handovers were introduced into one surgery and one medicine ward, with the 831 handovers evaluated showing significant improvements in handover quality compared to before implementation, although handover duration increased. Patient outcomes validated this change in nursing practice. However, examining nurses' perspectives of the implementation process revealed several obstacles to using bedside nursing handovers that training alone was not strong enough to overcome.
Given the findings of the present project, the use of bedside nursing handovers should be extended to other units by developing strategies that will make the practice sustainable.
Bedside nursing handovers improved handover quality and created a true partnership with the patient: nurses feel more confident about seeing the patient quickly. Patients felt more taken into consideration and safer.
For feasibility reasons, patients and the public were not involved in the design, conduct, reporting or dissemination plans of this research. The trial was prospectively registered before the first participant was recruited under the ISRCTN # 81701569.
Endometriosis is a chronic gynaecological condition affecting 2%–10% of women worldwide, often leading to severe pain, organ dysfunction and infertility. Despite its prevalence, diagnosis is frequently delayed, and treatment options remain limited. Mobile health (mHealth) applications have gained popularity as tools for symptom tracking, yet concerns about their accessibility, evidence-based content and inclusivity persist. Ensuring that these digital tools are culturally relevant, user-friendly and available to diverse populations is crucial for improving patient care and engagement. This study aims to systematically review mobile applications designed for tracking endometriosis symptoms, with a focus on content quality, inclusivity and functionality. The objective is to identify gaps in existing apps and provide recommendations for developing more inclusive digital health solutions.
This study follows a systematic review methodology proposed by Gasteiger et al. The research process consists of seven steps, including defining research questions, identifying relevant applications, determining eligibility criteria, selecting and analysing apps and synthesising results. The apps will be sourced from the Apple App Store and Google Play Store via predefined search strategies. The evaluation criteria include content accuracy, usability, inclusivity, privacy protection and adherence to evidence-based medical guidelines. Data extraction focuses on app characteristics, including language availability, user accessibility, evidence-based symptom tracking and adherence to health equity principles. The Mobile App Rating Scale will be used to assess usability, functionality, aesthetics and information quality. The findings will be systematically compared to identify strengths, limitations and areas for improvement in existing applications.
This systematic review of applications offers an overview of available apps that can be downloaded in Switzerland. Furthermore, it will present a detailed analysis of those that are specifically geared towards symptom tracking and will evaluate the level of evidence-based content, inclusivity, data protection and quality. A key strength of this review is its multidisciplinary approach, which involves engaging experts in healthcare, digital technology, inclusivity and individuals with lived experiences with endometriosis.
Approval from an ethics committee is not required. Data and material will be available on request from the authors.
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