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      Effect of an integrated care pathway on use of primary and secondary healthcare by patients at high risk of emergency inpatient admission: a matched control cohort study in Tower Hamlets

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          Abstract

          Objectives

          To assess the effects of an integrated care pathway on the use of primary and secondary healthcare by patients at high risk of emergency inpatient admission.

          Design

          Observational study of a real-life deployment of integrated care, using patient-level administrative data. Regression analysis was used to compare integrated care patients with matched controls.

          Setting

          A deprived, inner city London borough (Tower Hamlets).

          Participants

          1720 patients aged 50+ years registered with a general practitioner in Tower Hamlets and at high risk of emergency inpatient admission enrolled onto integrated care during 2014. These patients were matched to control patients, also selected from Tower Hamlets, with respect to demographics, diagnoses of health conditions, previous hospital use and risk score.

          Interventions

          Enrolled patients were eligible for a range of interventions, such as case management, support with self-care and enhanced care coordination. Control patients received usual care.

          Primary and secondary endpoints

          Number of emergency inpatient admissions in the year after enrolment onto integrated care. Secondary endpoints included numbers of elective inpatient admissions, inpatient bed days, accident and emergency attendances, outpatient attendances and general practitioner contacts in the year after enrolment.

          Results

          There was no evidence that the integrated care pathway reduced patients’ healthcare utilisation in the first year post-enrolment. Matched controls and integrated care patients were similar at baseline. Following enrolment, integrated care patients were more likely than matched controls to experience elective inpatient admissions (adjusted incidence rate ratio (IRR)=1.27, 95% CI 1.08 to 1.49, p=0.004). They were also more likely to experience general practitioner contacts (adjusted IRR=1.11, 95% CI 1.06 to 1.16, p<0.001), but other endpoints were not significantly different between the groups.

          Conclusions

          The integrated care pathway was not associated with a reduction in healthcare utilisation in the first year, but appeared to have increased elective inpatient admissions and general practitioner workload.

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          Most cited references17

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          Semiparametric Difference-in-Differences Estimators

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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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              Misunderstandings between experimentalists and observationalists about causal inference

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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2019
                11 June 2019
                : 9
                : 6
                : e026470
                Affiliations
                [1 ] Dr Will Parry Ltd , London, UK
                [2 ] The Health Foundation , London, UK
                Author notes
                [Correspondence to ] Dr Adam Steventon; adam.steventon@ 123456health.org.uk
                Author information
                http://orcid.org/0000-0002-9183-2464
                Article
                bmjopen-2018-026470
                10.1136/bmjopen-2018-026470
                6575714
                31189676
                95f2a67a-ca37-4d36-a1d3-80b2932419a5
                © 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
                : 03 September 2018
                : 18 February 2019
                : 05 April 2019
                Funding
                Funded by: The Health Foundation;
                Categories
                Health Services Research
                Research
                1506
                1704
                Custom metadata
                unlocked

                Medicine
                primary care,preventive medicine,public health
                Medicine
                primary care, preventive medicine, public health

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