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      Effect on secondary care of providing enhanced support to residential and nursing home residents: a subgroup analysis of a retrospective matched cohort study

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          Abstract

          Background

          Thirteen residential care homes and 10 nursing homes specialising in older people in Rushcliffe, England, participated in an improvement programme. The enhanced support provided included regular visits from named general practitioners and additional training for care home staff. We assessed and compared the effect on hospital use for residents in residential and nursing homes, respectively.

          Methods

          Using linked care home and administrative hospital data, we examined people aged 65 years or over who moved to a participating care home between 2014 and 2016 (n=568). We selected matched control residents who had similar characteristics to the residents receiving enhanced support and moved to similar care homes not participating in the enhanced support (n=568). Differences in hospital use were assessed for residents of each type of care home using multivariable regression.

          Results

          Residents of participating residential care homes showed lower rates of potentially avoidable emergency admissions (rate ratio 0.50, 95% CI 0.30 to 0.82), emergency admissions (rate ratio 0.60, 95% CI 0.42 to 0.86) and Accident & Emergency attendances (0.57, 95% CI 0.40 to 0.81) than matched controls. Hospital bed days, outpatient attendances and the proportion of deaths that occurred out of hospital were not statistically different. For nursing home residents, there were no significant differences for any outcome.

          Conclusions

          The enhanced support was associated with lower emergency hospital use for older people living in residential care homes but not for people living in nursing homes. This might be because there was more potential to reduce emergency care for people in residential care homes. In nursing homes, improvement programmes may need to be more tailored to residents’ needs or the context of providing care in that setting.

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          Most cited references40

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          Post-hospital syndrome--an acquired, transient condition of generalized risk.

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            Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies

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              Is a subgroup effect believable? Updating criteria to evaluate the credibility of subgroup analyses.

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                Author and article information

                Journal
                BMJ Qual Saf
                BMJ Qual Saf
                qhc
                bmjqs
                BMJ Quality & Safety
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-5415
                2044-5423
                July 2019
                7 April 2019
                : 28
                : 7
                : 534-546
                Affiliations
                [1 ] departmentImprovement Analytics Unit , The Health Foundation , London, UK
                [2 ] departmentImprovement Analytics Unit and Data, Analysis and Intelligence Services , NHS England , London, UK
                [3 ] departmentData Analytics , The Health Foundation , London, UK
                Author notes
                [Correspondence to ] Therese Lloyd, Improvement Analytics Unit, The Health Foundation, London WC2E 9RA, UK; therese.lloyd@ 123456health.org.uk
                Author information
                http://orcid.org/0000-0002-5915-6136
                Article
                bmjqs-2018-009130
                10.1136/bmjqs-2018-009130
                6593648
                30956202
                b12addc0-90bd-4e2e-bb96-54a43d86b9c4
                © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 22 November 2018
                : 05 February 2019
                : 01 March 2019
                Categories
                Original Research
                1506
                1507
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                Public health
                healthcare quality improvement,health services research,nursing homes,quality improvement

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