This paper reports phase one, conducted from March to June 2015, of a two-phase, qualitative descriptive study designed to explore the perceptions and experiences of older people before and after the introduction of consumer directed care (CDC) to home care packages (HCP) in Australia. Eligible consumers with a local HCP provider were mailed information about the study. Data collection occurred before the introduction of CDC and included face-to-face, in-depth interviews, summaries of interviews, field notes and reflective journaling. Semi-structured questions and 'emotional touchpoints' relating to home care were used to guide the interview conversation. Line-by-line data analysis, where significant statements were highlighted and clustered to reveal emergent themes, was used. Five older people, aged 81 to 91 years, participated in the study. The four emergent themes were: seeking quality and reciprocity in carer relationships; patchworking services; the waiting game; and technology with utility. Continuity of carers was central to the development of a trusting relationship and perceptions of care quality among older consumers. Care coordinators and workers should play a key role in ensuring older people receive timely information about CDC and their rights and responsibilities. Participants' use of contemporary technologies suggests opportunities to improve engagement of HCP clients in CDC.

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Many aspects of the initial implementation of CDC were challenging for older people. Clear, relevant and timely communication and information about CDC and its consequences for consumers appear to be needed to enhance CDC.

Computer-aided diagnostic (CAD) systems can assist radiologists in detecting coal workers’ pneumoconiosis (CWP) in their chest X-rays. Early diagnosis of the CWP can significantly improve workers’ survival rate. The development of the CAD systems will reduce risk in the workplace and improve the quality of chest screening for CWP diseases. This systematic literature review (SLR) amis to categorise and summarise the feature extraction and detection approaches of computer-based analysis in CWP using chest X-ray radiographs (CXR). We conducted the SLR method through 11 databases that focus on science, engineering, medicine, health, and clinical studies. The proposed SLR identified and compared 40 articles from the last 5 decades, covering three main categories of computer-based CWP detection: classical handcrafted features-based image analysis, traditional machine learning, and deep learning-based methods. Limitations of this review and future improvement of the review are also discussed.

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