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  • 1. Shannon, M. M.
    et al.
    Lipson-Smith, R.
    Elf, Marie
    Dalarna University, School of Education, Health and Social Studies, Caring Science/Nursing. Göteborgs universitet; Karolinska institutet.
    Olver, J.
    Kramer, S.
    Bernhardt, J.
    Bringing the single versus multi-patient room debate to vulnerable patient populations: a systematic review of the impact of room types on hospitalized older people and people with neurological disorders2018In: Intelligent Buildings International, ISSN 1750-8975, E-ISSN 1756-6932Article in journal (Refereed)
    Abstract [en]

    Single-patient rooms are commonly recommended in acute hospital environments. People with neurological disorders, and those who are older, have complex clinical presentations requiring support and recovery for physical, cognitive, and social consequences of their brain injury, and/or chronic health problems. It is currently unknown what type of patient room, or what physical characteristics in such rooms, might be most desirable for the recovery of such people. We explored how hospital single-patient rooms are similar to or different from multi-bed rooms, and how the impact of room type has been measured in this group of people. A systematic mixed studies review was conducted to interrogate these questions. We identified 182 studies (mostly quantitative in design), 19 of which proceeded to formal data extraction. The findings show lack of clarity of salient physical characteristics in either room type for our review population. Importantly, apart from some signal of infection control benefits, our findings do not show evidence to support the use of single-patient rooms with older people and people with neurological disorders for other important outcomes. More investigation of the under-recognized potential of the patient room environment for shaping patient physical, cognitive, and social well-being in specific hospitalized populations is required.

  • 2.
    Zhang, Xingxing
    et al.
    University of Nottingham.
    Shen, Jingchun
    University of Nottingham, Ningbo.
    Yang, Tong
    Tang, Llewellyn
    Wang, Luying
    Liu, Yingqi
    Xu, Peng
    Smart meter and in-home display for energy savings in residential buildings: a pilot investigation in Shanghai, China2016In: Intelligent Buildings International, ISSN 1750-8975, E-ISSN 1756-6932, p. 1-23Article in journal (Refereed)
    Abstract [en]

    Smart meters and in-home displays (IHDs) have been recently adopted to help give residential users more control over energy consumption, and meet environmental and supply security objectives. The article aims to identify the effectiveness and potential of smart meters and real-time IHDs in reducing Shanghai household energy consumption by affecting occupants? behaviour. A general landscape of the occupant behaviour in residential buildings was briefly painted. A pilot study in Shanghai with an effective sample of 131 respondents was arranged into two groups as IHD and non-IHD households. A dedicated statistical analysis model was developed based on the micro-level empirical data to investigate the characteristics and the regulations of electricity consumption in these two groups, such as check frequency, electricity consumption reduction and shifting, energy bill saving, and standby power. The research results demonstrate that IHDs could lead to around 9.1% reduction in monthly electricity consumption and about 11.0% cut off in monthly electricity bills. A general comparison of the electricity consumption reduction between this research and the average UK case was further made. Barriers at current stage and challenges for further work were finally discussed. The statistical model is expected to ?future proof? smart meter and real-time displays through macro-level designing in modularity and flexibility in China. The overall research initially proves the concept of the feasible impact of smart meter and display technologies in the Chinese context, which is further expected to contribute to the empirical evidence on how IHD feedback could influence household electricity consumption in the Chinese context.

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