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Background The Public Health Intervention Wheel (PHIW) is a population-based practice model that encompasses three levels of practice (community, systems, and individual/family) and 17 public health interventions. Each intervention and practice level contributes to improving population health. Public health nurses (PHNs) provide care at the three levels of practice. Prevention of falls is a public health issue and the majority of falls happen at home. Therefore, prevention and management of falls in the community could benefit from a public health systems approach by PHNs underpinned by the PHIW. Case presentation A hypothetical case is presented of a 78-year-old gentleman who had a fall which resulted in a fractured right acetabulum and surgery before being discharged home. Methods The aim of this paper was to use a case summary to illustrate PHN practice in the context of the PHIW as applied to falls management and prevention. This paper focuses on fall incidence and PHN response in Ireland and Norway. The PHIW is described and relevant interventions from the PHIW are applied to PHN practice in managing the case. Conclusions The PHIW model provides insight into the potential scope of public health nursing in falls, articulating PHN practice in the community.

Background: Although caregivers are important in the management of frail, community-dwelling older adults, the influence of different caregiver network types on the risk of adverse healthcare outcomes is unknown. Objective: To examine the association between caregiver type and the caregiver network subtest of The Risk Instrument for Screening in the Community (RISC), a five point Likert scale scored from one (“can manage”) to five (“absent/liability”). To measure the association between caregiver network scores and the one-year incidence of institutionalisation, hospitalisation and death. Design: Observational cohort study. Setting and Participants: Community-dwelling adults, aged >65,attending health centres in Ireland,(n=779). Procedure and Measurements: The caregiver network subtest of the RISC was scored by public health nurses. Caregivers were grouped dichotomously into low-risk (score of one) or high-risk (scores two-five). Results: The majority of patients had a primary caregiver (582/779;75%), most often their child (200/582;34%). Caregiver network scores were highest, indicating greatest risk, when patients had no recognised primary caregiver and lowest when only a spouse or child was available. Despite this, patients with a caregiver were significantly more likely to be institutionalised than those where none was required or identified (11.5% versus 6.5%,p=0.047). The highest one-year incidence of adverse outcomes occurred when state provided care was the sole support; the lowest when private care was the sole support. Significantly more patients whose caregiver networks were scored high-risk required institutionalisation than low-risk networks; this association was strongest for perceived difficulty managing medical domain issues, odds ratio (OR) 3.87:(2.22-6.76). Only perceived difficulty managing ADL was significantly associated with death, OR 1.72:(1.06-2.79). There was no association between caregiver network scores and risk of hospitalisation. Conclusion: This study operationalizes a simple method to evaluate caregiver networks. Networks consisting of close family (spouse/children) and those reflecting greater socioeconomic privilege (private supports) were associated with lower incidence of adverse outcomes. Caregiver network scores better predicted institutionalisation than hospitalisation or death.

Composite electrodes that incorporate oxidized silicon are a cost-effective way to accommodate stresses and extend cycle life. To obtain fundamental information about chemo-mechanical phenomena in these composite structures, several different types of materials are being investigated through tuning the microstructures of Si nanoparticles and composite SiOx particles. The evolution of internal stresses in all of these structures was monitored with precise in situ curvature in conjunction with parallel electrochemical measurements. Ex situ characterization with electron microscopy, x-ray diffraction, and XPS provide important complementary information about changes in the materials. The different types of materials used for this work make it possible to systematically investigate key length scales, by independently varying the microstructures such as oxide layer thicknesses and particle/nano-cluster sizes. Analysis of these results requires assessments and models of both the chemical and mechanical effects of oxide surface layers and silicon encapsulation. The implications for optimizing these composite electrode structures will also be presented.

This paper uses twitter streaming and filtering techniques to determine which cities the flu is most prevalent in real time. The Twitter streaming API was used to collect data and filter using keywords and location. Our results show that more heavily populated cities have more cases of the flu.

In recent years, Twitter, a social networking website, has been affected by a steady rise in spam on its network. Hijacking of social media accounts has become a modern-day danger. Motivations for this can range from attempts in identity theft to simply skewing the perception of an audience. In this paper, we extend our previous work, Engineering Your Social Network to Detect Fraudulent Profiles, by doing an investigation of spam bots on Twitter. We propose an algorithm that will distinguish a spam bot, from a genuine user account by using a JavaScript testing framework that consumes Twitter's REST API. We ran a dataset of 700 Twitter accounts through our algorithm and identified that roughly 11% of the dataset were bots.

Background Successful models of nursing and midwifery in the community delivering healthcare throughout the lifespan and across a health and illness continuum are limited, yet necessary to guide global health services. Primary and community health services are the typical points of access for most people and the location where most care is delivered. The scope of primary healthcare is complex and multifaceted and therefore requires a practice framework with sound conceptual and theoretical underpinnings. The aim of this paper is to present a conceptual model informed by a scoping evidence review of the literature. Methods A scoping evidence review of the literature was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. Databases included CINAHL, MEDLINE, PsycINFO and SocINDEX using the EBSCO platform and the Cochrane Library using the keywords: model, nursing, midwifery, community, primary care. Grey literature for selected countries was searched using the Google ‘advanced’ search interface. Data extraction and quality appraisal for both empirical and grey literature were conducted independently by two reviewers. From 127 empirical and 24 non-empirical papers, data extraction parameters, in addition to the usual methodological features, included: the nature of nursing and midwifery; the population group; interventions and main outcomes; components of effective nursing and midwifery outcomes. Results The evidence was categorised into six broad areas and subsequently synthesised into four themes. These were not mutually exclusive: (1) Integrated and Collaborative Care; (2) Organisation and Delivery of Nursing and Midwifery Care in the Community; (3) Adjuncts to Nursing Care and (4) Overarching Conceptual Model. It is the latter theme that is the focus of this paper. In essence, the model depicts a person/client on a lifespan and preventative-curative trajectory. The health related needs of the client, commensurate with their point position, relative to both trajectories, determines the nurse or midwife intervention. Consequently, it is this need, that determines the discipline or speciality of the nurse or midwife with the most appropriate competencies. Conclusion Use of a conceptual model of nursing and midwifery to inform decision-making in primary/community based care ensures clinical outcomes are meaningful and more sustainable. Operationalising this model for nursing and midwifery in the community demands strong leadership and effective clinical governance. Electronic supplementary material The online version of this article (doi:10.1186/s12912-017-0225-3) contains supplementary material, which is available to authorized users.

The use of complementary and alternative medicine (CAM) among cancer survivors is high, yet less is known about reasons behind such use or the communication of CAM with conventional medical providers.Cross-sectional, multivariate logistic regression models were developed to evaluate the similarities and differences between cancer survivors and non-cancer controls in the 2007 National Health Interview Survey with 23,393 participants, including 1,471 cancer survivors.Among cancer survivors, 66.5% reported ever using CAM and 43.3% having used CAM in the past year. When compared with the general population, cancer survivors used CAM more often for general disease prevention, immune enhancement, and for pain (Adjusted Odds Ratio [AOR] 1.27, 95% Confidence Interval [CI] 1.10-1.48; AOR 1.32, 95% CI 1.05-1.62; AOR 1.42, 95% CI 1.05-1.92, respectively). Cancer survivors were more likely to use CAM because of recommendations from their provider (AOR 1.54, 95% CI 1.26-1.88) and were more likely to disclose their CAM use to their provider (AOR 1.45, 95% CI 1.22-1.72).When compared to the general population, cancer survivors were more likely to use CAM and communicate this use with providers, indicating a growing integration of CAM in conventional medical care.Cancer survivors are more likely than the general population to communicate CAM use with providers, suggesting greater integration of CAM use in conventional care. However, the majority of CAM use is still not being communicated to providers, indicating an important area for improvement in patient-centered care.

The Risk Instrument for Screening in the Community (RISC) is a short, global risk assessment to identify community-dwelling older adults’ one-year risk of institutionalisation, hospitalisation, and death. We investigated the contribution that the three components of the RISC (concern, itsseverity, and the ability of thecaregiver networkto manage concern) make to the accuracy of the instrument, across its three domains (mental state, activities of daily living (ADL), and medical state), by comparing their accuracy to other assessment instruments in the prospective Community Assessment of Risk and Treatment Strategies study. RISC scores were available for 782 patients. Across all three domains each subtest more accurately predicted institutionalisation compared to hospitalisation or death. Thecaregiver network’sability to manage ADL more accurately predicted institutionalisation (AUC 0.68) compared to hospitalisation (AUC 0.57,P=0.01) or death (AUC 0.59,P=0.046), comparing favourably with the Barthel Index (AUC 0.67). Theseverityof ADL (AUC 0.63), medical state (AUC 0.62), Clinical Frailty Scale (AUC 0.67), and Charlson Comorbidity Index (AUC 0.66) scores had similar accuracy in predicting mortality. Risk of hospitalisation was difficult to predict. Thus, each component, and particularly thecaregiver network, had reasonable accuracy in predicting institutionalisation. No subtest or assessment instrument accurately predicted risk of hospitalisation.

The Community Assessment of Risk & Treatment Strategies (CARTS) is an evolving integrated care pathway for community-dwelling older adults, designed to screen for and prevent frailty through the use of innovative, novel targeted risk screening instruments, comprehensive geriatric assessment, tailored interventions and integrated patient-centred multi-disciplinary monitoring. This multimodal service aims to positively affect risk and frailty transitions, to reduce adverse healthcare outcomes and achieve the European Innovation Partnerships on Active and Healthy Ageing’s (EIP-AHA) goal of improved healthy life years. The CARTS programme builds on the activities and deliverables defined within Action Plan A3 of the EIP-AHA ‘Prevention and early diagnosis of frailty, both physical and cognitive, in older people’, aiming to use information and communications technology (ICT) to facilitate its implementation in clinical practice. The CARTS instruments have been piloted in Ireland as well as in Portugal, Spain and Australia. An update on the research conducted to date and future plans are presented.

Background: Predicting risk of adverse healthcare outcomes, among community dwelling older adults, is difficult. The Risk Instrument for Screening in the Community (RISC) is a short (2-5 min), global subjective assessment of risk created to identify patients' 1-year risk of three outcomes: institutionalisation, hospitalisation and death. Methods: We compared the accuracy and predictive ability of the RISC, scored by Public Health Nurses (PHN), to the Clinical Frailty Scale (CFS) in a prospective cohort study of community dwelling older adults (n = 803), in two Irish PHN sectors. The area under the curve (AUC), from receiver operating characteristic curves and binary logistic regression models, with odds ratios (OR), compared the discriminatory characteristics of the RISC and CFS. Results: Follow-up data were available for 801 patients. The 1-year incidence of institutionalisation, hospitalisation and death were 10.2, 17.7 and 15.6 % respectively. Patients scored maximum-risk (RISC score 3,4 or 5/5) at baseline had a significantly greater rate of institutionalisation (31.3 and 7.1 %, p < 0.001), hospitalisation (25.4 and 13.2 %, p < 0.001) and death (33.5 and 10.8 %, p < 0.001), than those scored minimum-risk (score 1 or 2/5). The RISC had comparable accuracy for 1-year risk of institutionalisation (AUC of 0.70 versus 0.63), hospitalisation (AUC 0.61 versus 0.55), and death (AUC 0.70 versus 0.67), to the CFS. The RISC significantly added to the predictive accuracy of the regression model for institutionalisation (OR 1.43, p = 0.01), hospitalisation (OR 1.28, p = 0.01), and death (OR 1.58, p = 0.001). Conclusion: Follow-up outcomes matched well with baseline risk. The RISC, a short global subjective assessment, demonstrated satisfactory validity compared with the CFS.

OBJECTIVE: The authors examine the feasibility and efficacy of trimodality therapy in the treatment of malignant pleural mesothelioma and identify prognostic factors. BACKGROUND: Mesothelioma is a rare, uniformly fatal disease that has increased in incidence in recent decades. Single and bimodality therapies do not improve survival. METHODS: From 1980 to 1995, 120 patients underwent treatment for pathologically confirmed malignant mesothelioma at Brigham and Women's Hospital and Dana-Farber Cancer Institute (Boston, MA). Initial patient evaluation was performed by a multimodality team. Patients meeting selection criteria and with resectable disease identified by computed tomography scan or magnetic resonance imaging underwent extrapleural pneumonectomy followed by combination chemotherapy and radiotherapy. RESULTS: The cohort included 27 women and 93 men with a mean age of 56 years. Operative mortality rate was 5.0%, with a major morbidity rate of 22%. Overall survival rates were 45% at 2 years and 22% at 5 years. Two and 5-year survival rates were 65% and 27%, respectively, for patients with epithelial cell type, and 20% and 0%, respectively, for patients with sarcomatous or mixed histology tumors. Nodal involvement was a significant negative prognostic factor. Patients who were node negative with epithelial histology had 2- and 5-year survival rates of 74% and 39%, respectively. Involvement of margins at time of resection did not affect survival, except in the case of full-thickness, transdiaphragmatic invasion. Classification on the basis of a revised staging system stratified median survivals, which were 22, 17, and 11 months for stages I, II, and III, respectively (p = 0.04). CONCLUSIONS: Extrapleural pneumonectomy with adjuvant therapy is appropriate treatment for selected patients with malignant mesothelioma selected using a revised staging system.

BACKGROUND: Functional decline and frailty are common in community dwelling older adults, increasing the risk of adverse outcomes. Given this, we investigated the prevalence of frailty-associated risk factors and their distribution according to the severity of perceived risk in a cohort of community dwelling older adults, using the Risk Instrument for Screening in the Community (RISC). METHODS: A cohort of 803 community dwelling older adults were scored for frailty by their public health nurse (PHN) using the Clinical Frailty Scale (CFS) and for risk of three adverse outcomes: i) institutionalisation, ii) hospitalisation and iii) death, within the next year, from one (lowest) to five (highest) using the RISC. Prior to scoring, PHNs stated whether they regarded patients as frail. RESULTS: The median age of patients was 80 years (interquartile range 10), of whom 64% were female and 47.4% were living alone. The median Abbreviated Mental Test Score (AMTS) was 10 (0) and Barthel Index was 18/20 (6). PHNs regarded 42% of patients as frail, while the CFS categorized 54% (scoring ≥5) as frail. Dividing patients into low-risk (score one or two), medium-risk (score three) and high-risk (score four or five) using the RISC showed that 4.3% were considered high risk of institutionalization, 14.5% for hospitalization, and 2.7% for death, within one year of the assessment. There were significant differences in median CFS (4/9 versus 6/9 versus 6/9, p