0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      An interrupted time-series analysis of the effects of withdrawal of financial incentives on diagnosis of atrial fibrillation as resolved. Does withdrawal of an incentive reverse its unintended effects?

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The UK introduced financial incentives for management of atrial fibrillation (AF) in 2006, after which there was an increase in the proportion of patients with AF diagnosed as resolved. Removal of incentives in Scotland provides a natural experiment to investigate the effects of withdrawal of an incentive on diagnosis of resolved AF.

          Aim

          To investigate the effects of introduction and withdrawal of financial incentives on the diagnosis of resolved AF.

          Design & setting

          Cohort study in a large database of UK primary care records, before and after introduction of incentives in April 2006 in Scotland, England, and Northern Ireland, and their withdrawal in April 2016 in Scotland.

          Method

          Interrupted time-series analysis of monthly rates of resolved AF from January 2000–September 2019.

          Results

          A total of 251 526 adult patients with AF were included, of whom 14 674 were diagnosed as resolved AF. In April 2006 there were similar shift-changes in rates of resolved AF per 1000 in England 1.55 (95% confidence interval [CI] = 1.11 to 2.00) and Northern Ireland 1.54 (95% CI = 0.91 to 2.18), and a smaller increase in Scotland 0.79 (95% CI = 0.04 to 1.53). There were modest downward post-introduction trends in all countries. After Scotland’s withdrawal of the incentive in April 2016 there was a small, statistically non-significant, downward shift in rate of resolved AF per 1000 (0.39 [95% CI = -3.21 to 2.42]) and no change in post-removal trend.

          Conclusion

          Introduction of a financial incentive coincided with an increase in resolved AF but no evidence was found that its withdrawal led to a reduction.

          Related collections

          Most cited references23

          • Record: found
          • Abstract: not found
          • Article: not found

          OUP accepted manuscript

          (2020)
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Use of interrupted time series analysis in evaluating health care quality improvements.

            Interrupted time series (ITS) analysis is arguably the strongest quasi-experimental research design. ITS is particularly useful when a randomized trial is infeasible or unethical. The approach usually involves constructing a time series of population-level rates for a particular quality improvement focus (eg, rates of attention-deficit/hyperactivity disorder [ADHD] medication initiation) and testing statistically for a change in the outcome rate in the time periods before and time periods after implementation of a policy/program designed to change the outcome. In parallel, investigators often analyze rates of negative outcomes that might be (unintentionally) affected by the policy/program. We discuss why ITS is a useful tool for quality improvement. Strengths of ITS include the ability to control for secular trends in the data (unlike a 2-period before-and-after t test), ability to evaluate outcomes using population-level data, clear graphical presentation of results, ease of conducting stratified analyses, and ability to evaluate both intended and unintended consequences of interventions. Limitations of ITS include the need for a minimum of 8 time periods before and 8 after an intervention to evaluate changes statistically, difficulty in analyzing the independent impact of separate components of a program that are implemented close together in time, and existence of a suitable control population. Investigators must also be careful not to make individual-level inferences when population-level rates are used to evaluate interventions (though ITS can be used with individual-level data). A brief description of ITS is provided, including a fully implemented (but hypothetical) study of the impact of a program to reduce ADHD medication initiation in children younger than 5 years old and insured by Medicaid in Washington State. An example of the database needed to conduct an ITS is provided, as well as SAS code to implement a difference-in-differences model using preschool-age children in California as a comparison group. Copyright © 2013 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              A Fine is a Price

                Bookmark

                Author and article information

                Journal
                BJGP Open
                BJGP Open
                bjgpoa
                bjgpoa
                BJGP Open
                Royal College of General Practitioners
                2398-3795
                December 2022
                02 November 2022
                02 November 2022
                : 6
                : 4
                : BJGPO.2022.0089
                Affiliations
                [1 ] deptInstitute of Applied Health Research , University of Birmingham , Birmingham, UK
                [2 ] deptCollege of Medical and Dental Sciences , University of Birmingham , Birmingham, UK
                Author notes
                *For correspondence: Tom Marshall, t.p.marshall@ 123456bham.ac.uk
                Author information
                https://orcid.org/0000-0001-9660-4631
                http://orcid.org/0000-0003-0543-3254
                http://orcid.org/0000-0001-9277-5214
                Article
                0089
                10.3399/BJGPO.2022.0089
                9904788
                36167402
                21cd22c7-abd6-48da-ad03-e3d66d84c896
                Copyright © 2022, The Authors

                This article is Open Access: CC BY license ( https://creativecommons.org/licenses/by/4.0/)

                History
                : 14 June 2022
                : 15 September 2022
                : 20 September 2022
                Categories
                Research
                Custom metadata
                InDesignSetterCC
                1663884920528
                Affiliation 1 was changed
                Affiliation 2 was changed
                Author was changed
                Figure 1 was changed
                Keyword was changed
                Acknowledgement was changed
                Ethical approval was changed
                History was changed

                quality assurance,large database research,cohort studies,atrial fibrillation,primary health care,general practitioners,general practice

                Comments

                Comment on this article