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      Private Rooms in Low Acuity Settings: A Systematic Review of the Literature

      1 , 2 , 3
      HERD: Health Environments Research & Design Journal
      SAGE Publications

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          Interventions for the prevention of falls in older adults: systematic review and meta-analysis of randomised clinical trials.

          To assess the relative effectiveness of interventions to prevent falls in older adults to either a usual care group or control group. Systematic review and meta-analyses. Medline, HealthSTAR, Embase, the Cochrane Library, other health related databases, and the reference lists from review articles and systematic reviews. Components of falls intervention: multifactorial falls risk assessment with management programme, exercise, environmental modifications, or education. 40 trials were identified. A random effects analysis combining trials with risk ratio data showed a reduction in the risk of falling (risk ratio 0.88, 95% confidence interval 0.82 to 0.95), whereas combining trials with incidence rate data showed a reduction in the monthly rate of falling (incidence rate ratio 0.80, 0.72 to 0.88). The effect of individual components was assessed by meta-regression. A multifactorial falls risk assessment and management programme was the most effective component on risk of falling (0.82, 0.72 to 0.94, number needed to treat 11) and monthly fall rate (0.63, 0.49 to 0.83; 11.8 fewer falls in treatment group per 100 patients per month). Exercise interventions also had a beneficial effect on the risk of falling (0.86, 0.75 to 0.99, number needed to treat 16) and monthly fall rate (0.86, 0.73 to 1.01; 2.7). Interventions to prevent falls in older adults are effective in reducing both the risk of falling and the monthly rate of falling. The most effective intervention was a multifactorial falls risk assessment and management programme. Exercise programmes were also effective in reducing the risk of falling.
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            Healing environment: A review of the impact of physical environmental factors on users

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              Evaluation of hospital room assignment and acquisition of Clostridium difficile infection.

              Clostridium difficile spores persist in hospital environments for an extended period. We evaluated whether admission to a room previously occupied by a patient with C. difficile infection (CDI) increased the risk of acquiring CDI. Retrospective cohort study. Medical intensive care unit (ICU) at a tertiary care hospital. Patients admitted from January 1, 2005, through June 30, 2006, were evaluated for a diagnosis of CDI 48 hours after ICU admission and within 30 days after ICU discharge. Medical, ICU, and pharmacy records were reviewed for other CDI risk factors. Admitted patients who did develop CDI were compared with admitted patients who did not. Among 1,844 patients admitted to the ICU, 134 CDI cases were identified. After exclusions, 1,770 admitted patients remained for analysis. Of the patients who acquired CDI after admission to the ICU, 4.6% had a prior occupant without CDI, whereas 11.0% had a prior occupant with CDI (P = .002). The effect of room on CDI acquisition remained a significant risk factor (P = .008) when Kaplan-Meier curves were used. The prior occupant's CDI status remained significant (p = .01; hazard ratio, 2.35) when controlling for the current patient's age, Acute Physiology and Chronic Health Evaluation III score, exposure to proton pump inhibitors, and antibiotic use. A prior room occupant with CDI is a significant risk factor for CDI acquisition, independent of established CDI risk factors. These findings have implications for room placement and hospital design.
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                Author and article information

                Journal
                HERD: Health Environments Research & Design Journal
                HERD
                SAGE Publications
                1937-5867
                2167-5112
                June 19 2017
                January 2018
                August 23 2017
                January 2018
                : 11
                : 1
                : 57-74
                Affiliations
                [1 ]Medical Device Consultants of Ridgewood, LLC, Ridgewood, NJ, USA
                [2 ]Department of Mathematics and Statistics, Washburn University, Topeka, KS, USA
                [3 ]Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA
                Article
                10.1177/1937586717702597
                28831819
                9d6cb545-ff68-4778-a259-57bbb597418e
                © 2018

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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