The development of a conceptual model and self-reported measure of occupational health and safety vulnerability

Injuries at work have a substantial economic and societal burden. Often groups of labour market participants, such as young workers, recent immigrants or temporary workers are labelled as being "vulnerable" to work injury. However, defining groups in this way does little to enable a better understanding of the broader factors that place workers at increased risk of injury. In this paper we describe the development of a new measure of occupational health and safety (OH&S) vulnerability. The purpose of this measure was to allow the identification of workers at increased risk of injury, and to enable the monitoring and surveillance of OH&S vulnerability in the labour market. The development included a systematic literature search, and conducting focus groups with a variety of stakeholder groups, to generate a pool of potential items, followed by a series of steps to reduce these items to a more manageable pool. The final measure is 29-item instrument that captures information on four related, but distinct dimensions, thought to be associated with increased risk of injury. These dimensions are: hazard exposure; occupational health and safety policies and procedures; OH&S awareness; and empowerment to participate in injury prevention. In a large sample of employees in Ontario and British Columbia the final measure displayed minimal missing responses, reasonably good distributions across response categories, and strong factorial validity. This new measure of OH&S vulnerability can identify workers who are at risk of injury and provide information on the dimensions of work that may increase this risk. This measurement could be undertaken at one point in time to compare vulnerability across groups, or be undertaken at multiple time points to examine changes in dimensions of OH&S vulnerability, for example, in response to a primary prevention intervention.

Using clinical trial data and linked administrative health data to reduce the risk of adverse events associated with the uptake of newly released drugs by older Australians: a model process

BACKGROUND: The study was undertaken to evaluate the contribution of a process which uses clinical trial data plus linked de-identified administrative health data to forecast potential risk of adverse events associated with the use of newly released drugs by older Australian patients. METHODS: The study uses publicly available data from the clinical trials of a newly released drug to ascertain which patient age groups, gender, comorbidities and co-medications were excluded in the trials. It then uses linked de-identified hospital morbidity and medications dispensing data to investigate the comorbidities and co-medications of patients who suffer from the target morbidity of the new drug and who are the likely target population for the drug. The clinical trial information and the linked morbidity and medication data are compared to assess which patient groups could potentially be at risk of an adverse event associated with use of the new drug. RESULTS: Applying the model in a retrospective real-world scenario identified that the majority of the sample group of Australian patients aged 65 years and over with the target morbidity of the newly released COX-2-selective NSAID rofecoxib also suffered from a major morbidity excluded in the trials of that drug, indicating a substantial potential risk of adverse events amongst those patients. This risk was borne out in post-release morbidity and mortality associated with use of that drug. CONCLUSIONS: Clinical trial data and linked administrative health data can together support a prospective assessment of patient groups who could be at risk of an adverse event if they are prescribed a newly released drug in the context of their age, gender, comorbidities and/or co-medications. Communication of this independent risk information to prescribers has the potential to reduce adverse events in the period after the release of the new drug, which is when the risk is greatest.Note: The terms 'adverse drug reaction' and 'adverse drug event' have come to be used interchangeably in the current literature. For consistency, the authors have chosen to use the wider term 'adverse drug event' (ADE).

Change in schools it’s more like sort of turning an oil tanker : creating readiness for health promoting schools

Purpose – The purpose of this paper is to add to the evidence of best practice in the implementation of the Health Promoting Schools (HPS) framework by examining the process of creating readiness for change in a large international school in South-East Asia. Using a settings-based approach and guided by readiness for change theory the data collected reflects which factors were most influential in the decision of the leadership team (LT) to adopt a comprehensive HPS model. It follows the process of creating readiness in the early stages of adopting a HPS approach and captures the critical factors effecting leader’s beliefs and support for the program. Design/methodology/approach – This research is a case study of a large pre-K-12 international school in South-East Asia with over 1,800 students. A mixed methods qualitative approach is used including semi-structured interviews and document analysis. The participants are the 12 members of the LT. Findings – Readiness for change was established in the LT who adopted a HPS approach. That is, they adopted a comprehensive model to address health-related priorities in the school and changed the school’s mission and accountability processes to specifically include health. Uncovering the reasons why the LT supported this change was the primary focus of this research. Building the motivation to change involved establishing a number of key beliefs three of which were influential in bringing about readiness for change in this case study. These included the belief that leadership support existed for the proposed change, a belief that there was a need for change with a clear discrepancy in the present and preferred operations in relation to addressing the health issues of the school and the belief that HPS was the appropriate solution to address this discrepancy. Research limitations/implications – Adopting a HPS approach is the first phase of implementation. Long-term research may show if the integrity of the chosen model is maintained as implementation continues. The belief construct of valence, that is, the belief that the change will benefit the change recipient, was not reliably assessed in this research. Further research needs to be conducted to understand how this construct is interpreted in the school setting. The belief construct of valence was not reliably assessed in this research. Further research needs to be done to understand how this construct fits in the school setting. Practical implications – This paper provides a promising example of how health can be integrated into the school’s Mission and Strategic Learning Plan. The example presented here may provide strategies for others working in the field of HPS. Originality/value – Creating readiness is an often over-looked stage of building sustainable change. International schools cater to more than three million students are a rarely researched in regards to health education. It is predicted that the numbers of students in international schools will grow to more than six million in the next ten years.

Ecological model of Australian Indigenous men's health

This study was designed to examine the health behaviors as well as the enablers and barriers to health behaviors among Indigenous Australian men. One hundred and fifty Indigenous Australian men in rural, regional, and urban locations were interviewed about their health behaviors. The results revealed several themes of importance: (a) role of community activities, (b) the Indigenous man as a leader and role model, (c) negative impact of discrimination/racism, (d) importance of partner and family, (e) positive and negative role of peer relationships, (f) central role of culturally appropriate health care facilities, and (g) association between employment and health care problems. These findings highlight the importance of broad community-based (rather than individualistic) approaches to promoting health behavior in Indigenous men.

A path model of psychosocial and health behaviour change predictors of excessive gestational weight gain

This study aimed to evaluate a conceptual model of psychosocial, behaviour change, and behavioural predictors of excessive gestational weight gain (GWG). Background: Excessive GWG can place women and their babies at risk of poor health outcomes, including obesity. Models of psychosocial and behaviour change predictors of excessive GWG have not been extensively explored; understanding the mechanisms leading to excess GWG will provide crucial evidence towards the development of effective interventions. Method: Two hundred and eighty-eight pregnant women (≤18 weeks gestation) were recruited to a prospective study. Demographic, psychosocial, health behaviour change, and behavioural factors were assessed at 17 (Time 1, T1) and 33 weeks (Time 2, T2) gestation. Pre-pregnancy and final pregnancy weight were obtained and women were classified with/without excessive GWG. Logistic regressions refined the list of predictors of excessive GWG; variables with p < .1 were included in a path analysis. Results: Age, family income, T2 depression, T2 pregnancy-specific coping, T1 buttocks dissatisfaction, T2 GWG-specific self-efficacy, T1 dietary readiness, T1 dietary importance, and T1 vegetable intake predicted excessive GWG in the logistic regressions and were included in the path model. The baseline path model demonstrated poor fit. Once statistically and theoretically plausible paths were added, adequate model fit was achieved (χ² = 21.61(9), p < .05; RMSEA = .07; CFI = .93); this revised model explained 19.5% of the variance in excessive GWG. Women with high T1 buttocks dissatisfaction were more likely to exhibit low levels of dietary readiness. Women with low dietary readiness were more likely to have a lower vegetable intake, which predicted excessive GWG. Women with higher T2 depressive symptoms were more likely to report lower GWG self-efficacy and gain excessively. Conclusion: Future behavioural GWG trials should consider combining psychosocial and health behaviour change factors to optimise GWG.

Using Patient Health Questionnaire-9 item parameters of a common metric resulted in similar depression scores compared to independent item response theory model reestimation

Objectives: To investigate the validity of a common depression metric in independent samples. Study Design and Setting: We applied a common metrics approach based on item-response theory for measuring depression to four German-speaking samples that completed the Patient Health Questionnaire (PHQ-9). We compared the PHQ item parameters reported for this common metric to reestimated item parameters that derived from fitting a generalized partial credit model solely to the PHQ-9 items. We calibrated the new model on the same scale as the common metric using two approaches (estimation with shifted prior and StockingeLord linking). By fitting a mixed-effects model and using BlandeAltman plots, we investigated the agreement between latent depression scores resulting from the different estimation models. Results: We found different item parameters across samples and estimation methods. Although differences in latent depression scores between different estimation methods were statistically significant, these were clinically irrelevant. Conclusion: Our findings provide evidence that it is possible to estimate latent depression scores by using the item parameters from a common metric instead of reestimating and linking a model. The use of common metric parameters is simple, for example, using a Web application (http://www.common-metrics.org) and offers a long-term perspective to improve the comparability of patient-reported outcome measures.

A rotational social work field placement model in regional health

Increases in student numbers and education providers have combined with pressures on the human services sector to create field-placement-shortage stress in many parts of Australia. In this climate some Australian social work programs have sought alternatives to the traditional, labour-intensive, one student/one field educator, single-site model of field placement. The rotation model, as an alternative, has a longer history in America, but is only recently being trialled and evaluated in Australia.

Financial model for investment recovery period in electronic health records implementations

Technology usage for better healthcare delivery is being emphasised in the USA and other advanced nations. Electronic health records (EHR) are being widely seen as improving operational efficiency and reducing medication errors in clinic practices and hospitals. Further, hospitals and clinics stand to gain incentives from the federal government if they implement EHRs and demonstrate meaningful use of EHRs. While numerous other aspects of HER implementations is found in literature, financial models have not been well studied. Before implementing EHR, one must take into consideration investment recovery period considering the costs, savings and possible tax incentives. In this paper, we develop financial model for computing investment recovery period in EHR implementations assuming constant patient visits. We further develop required growth rate formula if investments need to be recovered in fixed number of years. The model is illustrated with numerical example.

Cultural adaptation and validation of the Health Literacy Questionnaire (HLQ): robust nine-dimension Danish language confirmatory factor model

Health literacy is an important construct in population health and healthcare requiring rigorous measurement. The Health Literacy Questionnaire (HLQ), with nine scales, measures a broad perception of health literacy. This study aimed to adapt the HLQ to the Danish setting, and to examine the factor structure, homogeneity, reliability and discriminant validity. The HLQ was adapted using forward-backward translation, consensus conference and cognitive interviews (n = 15). Psychometric properties were examined based on data collected by face-to-face interview (n = 481). Tests included difficulty level, composite scale reliability and confirmatory factor analysis (CFA). Cognitive testing revealed that only minor re-wording was required. The easiest scale to respond to positively was 'Social support for health', and the hardest were 'Navigating the healthcare system' and 'Appraisal of health information'. CFA of the individual scales showed acceptably high loadings (range 0.49-0.93). CFA fit statistics after including correlated residuals were good for seven scales, acceptable for one. Composite reliability and Cronbach's α were >0.8 for all but one scale. A nine-factor CFA model was fitted to items with no cross-loadings or correlated residuals allowed. Given this restricted model, the fit was satisfactory. The HLQ appears robust for its intended application of assessing health literacy in a range of settings. Further work is required to demonstrate sensitivity to measure changes.