Resilience: A new integrative approach to health and mental health research

We know from anecdote and research, science and art, that human resilience is a powerful, seemingly ubiquitous force. What is needed is a better understanding of the properties, variations, and applications of that concept to health and well-being. In this paper we put forth two definitions of resilience: Sustainability of purpose in the face of stress, and recovery from adversity. We review current thinking in the social sciences on the nature of biological, psychological and socio-community processes that may confer resilience. In doing so, we encourage greater attention to aspects of biopsychosocial resourcefulness as a dimension of influence on health and mental health distinct from measures of risk found in standard models of public health inquiry. Multi-level, longitudinal, and intervention methods are advocated for research and applications of the concept with conceptual guidelines for the examination of laboratory, diary, and community indicator data on manifestations of resilience across the life span.

Overcoming language barriers in healthcare: A protocol for investigating safe and effective communication when patients or clinicians use a second language

Background Miscommunication in the healthcare sector can be life-threatening. The rising number of migrant patients and foreign-trained staff means that communication errors between a healthcare practitioner and patient when one or both are speaking a second language are increasingly likely. However, there is limited research that addresses this issue systematically. This protocol outlines a hospital-based study examining interactions between healthcare practitioners and their patients who either share or do not share a first language. Of particular interest are the nature and efficacy of communication in language-discordant conversations, and the degree to which risk is communicated. Our aim is to understand language barriers and miscommunication that may occur in healthcare settings between patients and healthcare practitioners, especially where at least one of the speakers is using a second (weaker) language. Methods/Design Eighty individual interactions between patients and practitioners who speak either English or Chinese (Mandarin or Cantonese) as their first language will be video recorded in a range of in- and out-patient departments at three hospitals in the Metro South area of Brisbane, Australia. All participants will complete a language background questionnaire. Patients will also complete a short survey rating the effectiveness of the interaction. Recordings will be transcribed and submitted to both quantitative and qualitative analyses to determine elements of the language used that might be particularly problematic and the extent to which language concordance and discordance impacts on the quality of the patient-practitioner consultation. Discussion Understanding the role that language plays in creating barriers to healthcare is critical for healthcare systems that are experiencing an increasing range of culturally and linguistically diverse populations both amongst patients and practitioners. The data resulting from this study will inform policy and practical solutions for communication training, provide an agenda for future research, and extend theory in health communication.

Network security metrics and performance for healthcare systems management

While enhanced cybersecurity options, mainly based around cryptographic functions, are needed overall speed and performance of a healthcare network may take priority in many circumstances. As such the overall security and performance metrics of those cryptographic functions in their embedded context needs to be understood. Understanding those metrics has been the main aim of this research activity. This research reports on an implementation of one network security technology, Internet Protocol Security (IPSec), to assess security performance. This research simulates sensitive healthcare information being transferred over networks, and then measures data delivery times with selected security parameters for various communication scenarios on Linux-based and Windows-based systems. Based on our test results, this research has revealed a number of network security metrics that need to be considered when designing and managing network security for healthcare-specific or non-healthcare-specific systems from security, performance and manageability perspectives. This research proposes practical recommendations based on the test results for the effective selection of network security controls to achieve an appropriate balance between network security and performance

Managing mental health co-morbidities in hepatitis C: A systematic review of clinical guidelines

BACKGROUND Mental health co-morbidities are prevalent in hepatitis C (HCV), and in practice often considered a contraindication for initiation of treatment. A systematic review was conducted to explore whether and how current HCV clinical practice guidelines address pre-existing mental health co-morbidities. METHODS A review of the literature was undertaken to identify guidelines for the management of HCV, published in English, between 2002 and January 2015. Characteristics of the guidelines were recorded and key themes on mental health were summarized across predefined stages in the patient journey (diagnosis, pre-HCV drug therapy, on HCV drug therapy, post-HCV drug therapy, advanced disease or palliative care). RESULTS Twenty-five HCV clinical guidelines were included. Referral to psychiatrist is generally recommended as pre- and in-treatment assessment of mental health co-morbidities but HCV guidelines do not offer explicit instructions on how to manage mental health co-morbidities. Post-treatment assessment of mental health co-morbidities were lacking. Conclusions Current chronic HCV clinical guidelines are limited in their advice to clinicians regarding the management of mental health co-morbidities.

Adopting healthcare big data in Sri Lankan healthcare sector

The concept of big data has already outperformed traditional data management efforts in almost all industries. Other instances it has succeeded in obtaining promising results that provide value from large-scale integration and analysis of heterogeneous data sources for example Genomic and proteomic information. Big data analytics have become increasingly important in describing the data sets and analytical techniques in software applications that are so large and complex due to its significant advantages including better business decisions, cost reduction and delivery of new product and services [1]. In a similar context, the health community has experienced not only more complex and large data content, but also information systems that contain a large number of data sources with interrelated and interconnected data attributes. That have resulted in challenging, and highly dynamic environments leading to creation of big data with its enumerate complexities, for instant sharing of information with the expected security requirements of stakeholders. When comparing big data analysis with other sectors, the health sector is still in its early stages. Key challenges include accommodating the volume, velocity and variety of healthcare data with the current deluge of exponential growth. Given the complexity of big data, it is understood that while data storage and accessibility are technically manageable, the implementation of Information Accountability measures to healthcare big data might be a practical solution in support of information security, privacy and traceability measures. Transparency is one important measure that can demonstrate integrity which is a vital factor in the healthcare service. Clarity about performance expectations is considered to be another Information Accountability measure which is necessary to avoid data ambiguity and controversy about interpretation and finally, liability [2]. According to current studies [3] Electronic Health Records (EHR) are key information resources for big data analysis and is also composed of varied co-created values [3]. Common healthcare information originates from and is used by different actors and groups that facilitate understanding of the relationship for other data sources. Consequently, healthcare services often serve as an integrated service bundle. Although a critical requirement in healthcare services and analytics, it is difficult to find a comprehensive set of guidelines to adopt EHR to fulfil the big data analysis requirements. Therefore as a remedy, this research work focus on a systematic approach containing comprehensive guidelines with the accurate data that must be provided to apply and evaluate big data analysis until the necessary decision making requirements are fulfilled to improve quality of healthcare services. Hence, we believe that this approach would subsequently improve quality of life.

The impact of personality and workplace belongingness on mental health workers’ professional quality of life

Objectives Mental health workers are constantly exposed to their clients’ stories of distress and trauma. While listening to these stories can be emotionally draining, professionals in this field still derive pleasure from their work. This study examined the role of personality and workplace belongingness in predicting compassion satisfaction, secondary traumatic stress, and burnout in mental health professionals. Methods Mental health staff (N = 156) working in a counselling service completed a questionnaire that included measures relating to professional quality of life, the Five-Factor Model of personality, workplace belongingness, as well as questions relating to the participants’ demographic profile, work roles and trauma history. Results The results indicated that, high levels of emotional stability (low neuroticism), extraversion, agreeableness, conscientiousness, and being connected at work, are essential factors that promote the professional quality of life of mental health workers. Specifically, workplace belongingness was the strongest predictor of compassion satisfaction and low levels of burnout, while neuroticism was the strongest predictor of secondary traumatic stress. Conclusions Important implications from this study include: (1) encouraging mental health staff to increase self-awareness of their dispositional characteristics and how their personalities affect their wellbeing at work, and; (2) encouraging management to facilitate practices where mental health workers feel connected, respected, and supported in their organisation.

Differences in identifying healthcare associated infections using clinical vignettes and the influence of respondent characteristics: A cross-sectional survey of Australian infection prevention staff

Background Australia has commenced public reporting and benchmarking of healthcare associated infections (HAIs), despite not having a standardised national HAI surveillance program. Annual hospital Staphylococcus aureus bloodstream (SAB) infection rates are released online, with other HAIs likely to be reported in the future. Although there are known differences between hospitals in Australian HAI surveillance programs, the effect of these differences on reported HAI rates is not known. Objective To measure the agreement in HAI identification, classification, and calculation of HAI rates, and investigate the influence of differences amongst those undertaking surveillance on these outcomes. Methods A cross-sectional online survey exploring HAI surveillance practices was administered to infection prevention nurses who undertake HAI surveillance. Seven clinical vignettes describing HAI scenarios were included to measure agreement in HAI identification, classification, and calculation of HAI rates. Data on characteristics of respondents was also collected. Three of the vignettes were related to surgical site infection and four to bloodstream infection. Agreement levels for each of the vignettes were calculated. Using the Australian SAB definition, and the National Health and Safety Network definitions for other HAIs, we looked for an association between the proportion of correct answers and the respondents’ characteristics. Results Ninety-two infection prevention nurses responded to the vignettes. One vignette demonstrated 100 % agreement from responders, whilst agreement for the other vignettes varied from 53 to 75 %. Working in a hospital with more than 400 beds, working in a team, and State or Territory was associated with a correct response for two of the vignettes. Those trained in surveillance were more commonly associated with a correct response, whilst those working part-time were less likely to respond correctly. Conclusion These findings reveal the need for further HAI surveillance support for those working part-time and in smaller facilities. It also confirms the need to improve uniformity of HAI surveillance across Australian hospitals, and raises questions on the validity of the current comparing of national HAI SAB rates.

An investigation into the effectiveness of sensory modulation in reducing seclusion within an acute mental health unit

In this paper we report the findings from an evaluation of the introduction of sensory modulation (SM) in an acute mental health inpatient unit. It was expected that SM could be used to help settle patients experiencing high levels of disturbance and that as a result, there would be less need for use of more restrictive seclusion practices. The evaluation took place in a hospital in south-east Queensland, Australia. SM was introduced in one acute unit while the other served as a control. The evaluation comprised two studies. In the first study we aimed to determine whether SM reduced the level of disturbance among patients given the opportunity to use it. In the second study we aimed to find out whether the introduction of SM reduced the frequency and duration of seclusion. In study 1, we found that most patients reported marked reduction in disturbance after using SM and there was a very large effect size for the group as a whole. In study 2, we found that frequency of seclusion dropped dramatically in the unit that introduced SM but rose slightly in the unit that did not have access to SM. The change in seclusion rate was highly significant (χ2 = 49.1, df = 1, p < 0.001). Results are discussed, having reference to the limitations inherent in a naturalistic study.

Workplace stress: What is the role of positive mental health?

Objective: To examine whether positive mental health (PMH)—a positively focused well-being construct—moderates the job stress–distress relationship. Methods: Longitudinal regression was used to test two waves of matched, population-level data from a sample of older, working Australian adults (n = 3291) to see whether PMH modified the relationship between work stress and later psychological distress. Results: Time 1 work stress was positively associated with distress at both time points. Positive mental health was negatively associated with work stress at both time points. Positive mental health modified the impact of work stress on psychological distress. This effect only occurred for those with the highest levels of PMH. Conclusions: Positive mental health may help protect workers from the effect of workplace stress but only in a small proportion of the population. Therefore, to improve workplace mental health, workplaces need to both prevent stress and promote PMH.

Borrowing from the geeks: What can healthcare facility design learn from IT?

People get into healthcare because they want to help society. And when a new hospital is briefed, everyone tries to do their best, but the process is mired by the impossibility of the task. Stakeholders rarely understand the architectural process, nobody can predict the future, and the only thing for certain is that everything will change as the project unfolds, revealing errors in initial assumptions and calculations, shifts in needs, new technologies etc. Yet there’s always pressure to keep to the programme and to press on regardless. This chaos leads eventually to suboptimal results: hospitals the world over are riddled with inefficiencies, idiosyncrasies, incredible wastage and features that lead to poor clinical outcomes. This talk will sketch out the basics of Scrum, the most popular open-source Lean/Agile methodology. It will discuss what healthcare designers can learn from the geeks in Silicon Valley reduce risk, meet deadlines and deliver the highest possible value for the budget despite the uncertainty.

The lean paradox : How can healthcare facilities shrink while clinical spaces expand?

Lean principles create highly efficient healthcare facilities by maximising the clinical value of every part of a facility and by removing everything else. In order that clinical accommodation can be used for a diverse set of functions including unexpected tasks and processes that haven’t even been invented, they have to be big. But somewhat surprisingly, whole facilities tend to shrink in terms of gross floor areas by disposing of non-clinical spaces when designed using Lean principles. And with the whole unit – the building costs shrink too. Using examples from the UK and the USA, this talk explores the unexpected solutions and improved outcomes when designers use a Lean approach to design.

Response to: Electronic health records and healthcare identifiers : legislation discussion paper

Public submission # 029 to a Australian federal parliamentary committee considering proposed legislative changes to the Commonwealth's Healthcare Identifiers Act 2010 and the Personally Controlled Electronic Health Records Act 2012.

Postprocedural effects of gastrointestinal endoscopy performed as a day case procedure in children : implications for patient and family education

A prospective design that included a survey tool, nursing care records, and telephone interview was used to determine postprocedural effects experienced by children and families following gastrointestinal endoscopy performed as a day procedure. One hundred twenty-one children attending a pediatric gastroenterology unit for endoscopy under general anesthesia participated in the study. Physical symptoms, day care/school attendance, behavioral issues, and economic factors in the 72 hours post procedure were identified. Over half the children (n = 69, 57%) experienced pain in the hospital post procedure. Pain was reported by 73 children (60%) at home on the day of the procedure, by 55 children (45%) on Day 1 post procedure, and by 37 children (31%) on Day 2 post procedure. The throat was the most common site of pain. Nausea or vomiting was experienced by 37 children (31%) at some time following their procedure but was not associated with procedure type, age, or fasting time. Over half the children (n = 53, 51%) who usually attended day care or school did not attend the day following their procedure. Twenty-four parents (40%) who would normally have worked on the day after the procedure did not attend employment. These findings have been used to improve the preprocedural information and discharge management of patients treated in a pediatric gastroenterology ambulatory setting. © The Society of Gastroenterology Nurses & Associates 2007. All Rights Reserved.

The relationship between parents' and their adolescent children's mental health and mental illness

Depression and anxiety disorders are high-prevalence disorders with a significant impact globally and high social and economic costs. Promotion of mental health and the prevention of depression and anxiety disorders are key health priorities internationally. It is now understood that mental health and mental illness are not two ends of one spectrum but two separate, related spectrums. The relationship between mental illness in parents and the development of mental illness in their children has been well documented however this relationship has not yet been examined from a mental health perspective. A number of mental health protective factors (also known as flourishing factors) have been shown to have a preventative effect on the development of depression and anxiety disorders, however whether parents’ mental health protective factors may have any effect on children’s depression and anxiety disorder outcomes remains unknown.