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The debate about whether health visiting, a specialist community public health nursing role, is at the level of advanced practice nurse has gone on for more than a decade. There is little empirical evidence that the role matches the traditional role of an advanced practice nurse, although many of the attributes of advanced practice nursing such as prescribing rights, managing complex cases, caseloads with undifferentiated need and advanced assessment and decision-making are certainly present.
The current study aimed to develop, refine and test the Health Visiting Advanced Practice Scale to assess the scope of advanced practice of UK health visitors.
A cross-sectional and methodological scale validation design, following classical test theory.
The design consisted of three phases; the first involved scale development including item generation, phase two assessed the content validity index, and the third phase involved a cross-sectional survey to establish construct validity, content validity, and internal consistency reliability, and conduct exploratory and confirmatory factor analysis.
The initial 44-item scale underwent iterative exploratory and confirmatory factor analyses, leading to a refined 5-factor structure with 29 items covering domains such as family-centred care, leadership, prescribing, diagnostic reasoning, and professional practice. This final version demonstrated strong reliability and construct validity in the EFA but mixed fit indices in the CFA, supporting both internal consistency and validity of the scale.
The final scale offers a rigorously validated tool for assessing advanced practice among UK health visitors, capturing core domains such as family-centred care, leadership, prescribing, and diagnostic reasoning. By bridging theoretical frameworks with real-world practice, it fills a critical gap in evaluating and supporting the professional scope of this public health nursing specialty.
These findings provide valid and reliable insights for measuring and improving health visitors' advanced practice and developing future professional policies.
No patient or public contribution.
STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines for cross-sectional studies.
Stroke is a global health concern. A timely response to a stroke can help reduce morbidity and mortality. However, barriers to timely response include poor recognition of stroke symptoms. Stroke symptom messages are designed to increase stroke recognition and encourage individuals to seek urgent medical assistance. The Face, Arm, Speech, Time (FAST) and Balance, Eyes, Face, Arm, Speech, Time (BE FAST) are commonly used stroke symptom messages shown to improve stroke symptom recognition and response. However, cultural factors and language differences may limit the effectiveness of stroke symptom messages and their acceptability in different countries and contexts. There has not been a comprehensive examination of the stroke symptom messages used worldwide and how these messages have been adapted in various settings.
We explored what stroke response messages are being used globally, and the contextual factors that influence the adoption of a stroke response mnemonic in different settings.
A 14-item survey was disseminated by the World Stroke Organization to its networks. The survey contained open- and closed-ended questions and allowed uploading relevant stroke symptom campaign materials. The survey was analyzed using descriptive statistics and a content analysis.
All except one survey respondent used a stroke symptom message. Fifteen respondents (27%) reported they did not translate their stroke awareness messaging. Of these 15 respondents, they used the English versions of FAST (n = 8), BE FAST (n = 4), and both FAST and BE FAST (n = 3). Forty respondents (71%) reported that they/their organization used an acronym to raise public awareness of the signs/symptoms of stroke that was different from FAST or BE FAST (English), many of which were direct or indirect translations or influenced by FAST and BE FAST. Survey responses shared insights and recommendations related to the content, tailoring and dissemination of stroke symptom messages.
Study findings highlight the global use of stroke symptom messages and their contextual adaptations to fit diverse settings and contexts. The challenges in applying universal or commonly used stroke symptom messages to different contexts were highlighted.
Nurses could have a key role in raising awareness of stroke symptoms and the development of locally adapted stroke symptom messages.
The McMaster Monitoring My Mobility (MacM3) study aims to understand trajectories of mobility decline in later life using multisensor wearable technology. To our knowledge, MacM3 is the first major cohort to combine accelerometry and a Global Positioning System (GPS) to track real-world mobility in community-dwelling older adults.
Between May 2022 and May 2024, MacM3 recruited 1555 community-dwelling older adults (mean age 73.9 years, SD=5.5) from Hamilton and Toronto, Ontario. Of the cohort, 68.4% were female, 62.4% married/partnered, 75.3% had post-secondary education and 62.9% had≥3 comorbidities. Most were Canadian born (69.4%) and white/Caucasian (88.0%), with greater ethnocultural diversity observed at the Toronto site.
At baseline, 56.7% of participants reported no mobility limitations, 15.9% had preclinical limitations and 27.4% had minor mobility limitations. Mean gait speed for the total sample was 1.23 m/s, with a mean Timed Up and Go time of 9.4 s and a 5x sit-to-stand time of 13.0 s. A total of 1301 participants had valid wrist-worn device data, and 1008 participants who agreed to wear the thigh-worn device had valid data (≥7 days with ≥10 hours of wear per day). Step count data (n=1008) revealed a mean of 8437 steps per day (SD=2943), with 5073 steps in the lowest quartile and 12 303 steps in the highest.
Ongoing work aims to develop predictive models of mobility decline by integrating wearable, clinical and environmental data. Pipeline enhancements will enable GPS/inertial measurement unit fusion to explore mobility-environment interactions and support ageing-in-place tools.
Hospitalisation is one of the most stressful life events for older adults, particularly for those who are pre-frail or frail. Multi-component community-based interventions have the potential to address the complex needs of older adults post-acute care admission. While some available interventions have been developed with end-user engagement, fully involving older people who are pre-frail or frail in the design of interventions has been less common. Multi-component community-based interventions that address the needs of older adults and their care partners with potential implementation barriers informed by healthcare providers, community partners and health system decision makers are needed. This protocol paper describes the planned process of co-designing for older patients discharged into the community, a Post-Acute Care Intervention for Frailty using Information and Communication technology.
The development of a complex multi-component frailty intervention which meets older people’s needs involves several concurrent tasks and methodologies, each informed by co-design and conducted with consideration to eventual implementation. These tasks include: (1) establishing a Research Advisory Board, (2) assessing the feasibility and validity of using hospital administrative data to identify frail or pre-frail older adults and their needs, (3) conducting a needs assessment of patients returning to the community, (4) mapping community assets to identify existing programmes and services to help tailor the intervention, (5) co-designing a multicomponent frailty intervention, (6) selecting study outcome measures and (7) selecting and tailoring a digital health patient portal to support intervention delivery, data capture and communication.
Each task requiring ethics approval will be submitted to the Hamilton Integrated Research Ethics Board at McMaster University. Results will be disseminated through peer-reviewed journal articles, conferences and networks of relevant knowledge users who have the capacity to promote dissemination of the results. A toolkit will be developed to help researchers and healthcare providers replicate the methodology for other populations.
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