Lessons for health program monitoring and evaluation in a low resource setting.

Numerous guidelines outline best practices for health program monitoring and evaluation (M&E). However, health programs are often implemented in less than ideal circumstances where these best practices may not be resourced or feasible. This article describes how M&E has been conducted for a health service delivery improvement program in remote Papua New Guinea and outlines lessons learned. The lessons learned were to integrate M&E into every aspect of the program, strengthen existing health information data, link primary data collection with existing program activities, conduct regular monitoring and feedback for early identification of implementation issues, involve the program team in evaluation, and communicate M&E data through multiple mediums to stakeholders. These lessons could be applied to other health programs implemented in low resource settings.

Exploring the broader health and well-being outcomes of mining communities in low- and middle-income countries: A systematic review.

Health and well-being outcomes in communities living in proximity to mining activity may be influenced by a broad spectrum of factors including population growth, economic instability or land degradation. This review aims to synthesise broader outcomes associated with mining activity and in doing so, further explore possible determinants in communities of low- and middle-income countries. Four databases were systematically searched and articles were included if the study targeted adults residing in proximity to mining activity, and measured individual or community-level health or well-being outcomes. Narrative synthesis was conducted. Twelve articles were included. Mining was perceived to influence health behaviours, employment conditions, livelihoods and socio-political factors, which were linked to poorer health outcomes. Family relationships, mental health and community cohesion were negatively associated with mining activity. High-risk health behaviours, population growth and changes in vector ecology from environmental modification were associated with increased infectious disease prevalence. This review presents the broader health and well-being outcomes and their determinants, and strengthens the evidence to improve measurement and management of the public health implications of mining. This will support the mining sector to make sustainable investments, and support governments to maximise community development and minimise negative impacts.

Exploring the determinants of health and wellbeing in communities living in proximity to coal seam gas developments in regional Queensland.

BACKGROUND: There is some concern that coal seam gas mining may affect health and wellbeing through changes in social determinants such as living and working conditions, local economy and the environment. The onward impact of these conditions on health and wellbeing is often not monitored to the same degree as direct environmental health impacts in the mining context, but merits attention. This study reports on the findings from a recurrent theme that emerged from analysis of the qualitative component of a comprehensive Health Needs Assessment (HNA) conducted in regional Queensland: that health and wellbeing of communities was reportedly affected by nearby coal seam gas (CSG) development beyond direct environmental impacts. METHODS: Qualitative analysis was initially completed using the Framework Method to explore key themes from 11 focus group discussions, 19 in-depth interviews, and 45 key informant interviews with health and wellbeing service providers and community members. A key theme emerged from the analysis that forms the basis of this paper. This study is part of a larger comprehensive HNA involving qualitative and quantitative data collection to explore the health and wellbeing needs of three communities living in proximity to CSG development in regional Queensland, Australia. RESULTS: Communities faced social, economic and environmental impacts from the rapid growth of CSG development, which were perceived to have direct and indirect effects on individual lifestyle factors such as alcohol and drug abuse, family relationships, social capital and mental health; and community-level factors including social connectedness, civic engagement and trust. CONCLUSIONS: Outer regional communities discussed the effects of mining activity on the fabric of their town and community, whereas the inner regional community that had a longer history of industrial activity discussed the impacts on families and individual health and wellbeing. The findings from this study may inform future health service planning in regions affected by CSG in the development /construction phase and provide the mining sector in regional areas with evidence from which to develop social responsibility programs that encompass health, social, economic and environmental assessments that more accurately reflect the needs of the affected communities.

Examining health and well-being outcomes associated with mining activity in rural communities of high-income countries: A systematic review.

OBJECTIVE: It is recognised internationally that rural communities often experience greater barriers to accessing services and have poorer health outcomes compared to urban communities. In some settings, health disparities may be further exacerbated by mining activity, which can affect the social, physical and economic environment in which rural communities reside. Direct environmental health impacts are often associated with mining activity and are frequently investigated. However, there is evidence of broader, indirect health and well-being implications emerging in the literature. This systematic review examines these health and well-being outcomes in communities living in proximity to mining in high-income countries, and, in doing so, discusses their possible determinants. METHODS: Four databases were systematically searched. Articles were selected if adult residents in mining communities were studied and outcomes were related to health or individual or community-level well-being. A narrative synthesis was conducted. RESULTS: Sixteen publications were included. Evidence of increased prevalence of chronic diseases and poor self-reported health status was reported in the mining communities. Relationship breakdown and poor family health, lack of social connectedness and decreased access to health services were also reported. Changes to the physical landscape; risky health behaviours; shift work of partners in the mine industry; social isolation and cyclical nature of 'boom and bust' activity contributed to poorer outcomes in the communities. CONCLUSION: This review highlights the broader health and well-being outcomes associated with mining activity that should be monitored and addressed in addition to environmental health impacts to support co-existence of mining activities and rural communities.

Social relationship difficulties in autism and reactive attachment disorder: Improving diagnostic validity through structured assessment.

BACKGROUND: Autism Spectrum Disorder (ASD) versus Reactive Attachment Disorder (RAD) is a common diagnostic challenge for clinicians due to overlapping difficulties with social relationships. RAD is associated with neglect or maltreatment whereas ASD is not: accurate differential diagnosis is therefore critical. Very little research has investigated the relationship between the two, and it is unknown if standardised measures are able to discriminate between ASD and RAD. The current study aimed to address these issues. METHODS: Fifty eight children with ASD, and no history of maltreatment, were group matched on age with 67 children with RAD. Group profiles on multi-informant measures of RAD were investigated and group differences explored. Discriminant function analysis determined assessment features that best discriminated between the two groups. RESULTS: Although, according to parent report, children with ASD presented with significantly fewer indiscriminate friendliness behaviours compared to the RAD group (p<0.001), 36 children with ASD appeared to meet core RAD criteria. However, structured observation clearly demonstrated that features were indicative of ASD and not RAD for all but 1 of these 36 children. CONCLUSIONS: Children with RAD and children with ASD may demonstrate similar social relationship difficulties but there appears to be a difference in the social quality of the interactions between the groups. In most cases it was possible to differentiate between children with ASD and children with RAD via structured observation. Nevertheless, for a small proportion of children with ASD, particularly those whose difficulties may be more subtle, our current standardised measures, including structured observation, may not be effective in differentiating RAD from ASD.