27
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The effects of financial incentives for case finding for depression in patients with diabetes and coronary heart disease: interrupted time series analysis

      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

          Objective

          To evaluate the effects of Quality and Outcomes Framework (QOF) incentivised case finding for depression on diagnosis and treatment in targeted and non-targeted long-term conditions.

          Design

          Interrupted time series analysis.

          Setting

          General practices in Leeds, UK.

          Participants

          65 (58%) of 112 general practices shared data on 37 229 patients with diabetes and coronary heart disease targeted by case finding incentives, and 101 008 patients with four other long-term conditions not targeted (hypertension, epilepsy, chronic obstructive pulmonary disease and asthma).

          Intervention

          Incentivised case finding for depression using two standard screening questions.

          Main outcome measures

          Clinical codes indicating new depression-related diagnoses and new prescriptions of antidepressants. We extracted routinely recorded data from February 2002 through April 2012. The number of new diagnoses and prescriptions for those on registers was modelled with a binomial regression, which provided the strength of associations between time periods and their rates.

          Results

          New diagnoses of depression increased from 21 to 94/100 000 per month in targeted patients between the periods 2002–2004 and 2007–2011 (OR 2.09; 1.92 to 2.27). The rate increased from 27 to 77/100 000 per month in non-targeted patients (OR 1.53; 1.46 to 1.62). The slopes in prescribing for both groups flattened to zero immediately after QOF was introduced but before incentivised case finding (p<0.01 for both). Antidepressant prescribing in targeted patients returned to the pre-QOF secular upward trend (Wald test for equivalence of slope, z=0.73, p=0.47); the slope was less steep for non-targeted patients (z=−4.14, p<0.01).

          Conclusions

          Incentivised case finding increased new depression-related diagnoses. The establishment of QOF disrupted rising trends in new prescriptions of antidepressants, which resumed following the introduction of incentivised case finding. Prescribing trends are of concern given that they may include people with mild-to-moderate depression unlikely to respond to such treatment.

          Related collections

          Most cited references28

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

          Interrupted time series designs in health technology assessment: lessons from two systematic reviews of behavior change strategies.

          In an interrupted time series (ITS) design, data are collected at multiple instances over time before and after an intervention to detect whether the intervention has an effect significantly greater than the underlying secular trend. We critically reviewed the methodological quality of ITS designs using studies included in two systematic reviews (a review of mass media interventions and a review of guideline dissemination and implementation strategies). Quality criteria were developed, and data were abstracted from each study. If the primary study analyzed the ITS design inappropriately, we reanalyzed the results by using time series regression. Twenty mass media studies and thirty-eight guideline studies were included. A total of 66% of ITS studies did not rule out the threat that another event could have occurred at the point of intervention. Thirty-three studies were reanalyzed, of which eight had significant preintervention trends. All of the studies were considered "effective" in the original report, but approximately half of the reanalyzed studies showed no statistically significant differences. We demonstrated that ITS designs are often analyzed inappropriately, underpowered, and poorly reported in implementation research. We have illustrated a framework for appraising ITS designs, and more widespread adoption of this framework would strengthen reviews that use ITS designs.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Diabetes, depression, and quality of life: a population study.

            The aim of the study was to assess the prevalence of diabetes and depression and their associations with quality of life using a representative population sample. The study consisted of a representative population sample of individuals aged > or = 15 years living in South Australia comprising 3,010 personal interviews conducted by trained health interviewers. The prevalence of depression in those suffering doctor-diagnosed diabetes and comparative effects of diabetic status and depression on quality-of-life dimensions were measured. The prevalence of depression in the diabetic population was 24% compared with 17% in the nondiabetic population. Those with diabetes and depression experienced an impact with a large effect size on every dimension of the Short Form Health-Related Quality-of-Life Questionnaire (SF-36) as compared with those who suffered diabetes and who were not depressed. A supplementary analysis comparing both depressed diabetic and depressed nondiabetic groups showed there were statistically significant differences in the quality-of-life effects between the two depressed populations in the physical and mental component summaries of the SF-36. Depression for those with diabetes is an important comorbidity that requires careful management because of its severe impact on quality of life.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Screening and case-finding instruments for depression: a meta-analysis.

              Screening and case-finding has been proposed as a simple, quick and cheap method to improve the quality of care for depression. We sought to establish the effectiveness of screening in improving the recognition of depression, the management of depression and the outcomes of patients with depression. We performed a Cochrane systematic review of randomized controlled trials conducted in nonmental health settings that included case-finding or screening instruments for depression. We conducted a meta-analysis and explored heterogeneity using meta-regression techniques. Sixteen studies with 7576 patients met our inclusion criteria. We found that the use of screening or case-finding instruments were associated with a modest increase in the recognition of depression by clinicians (relative risk [RR] 1.27, 95% confidence interval [CI] 1.02 to 1.59). Questionnaires, when administered to all patients and the results given to clinicians irrespective of baseline score, had no impact on recognition (RR 1.03, 95% CI 0.85 to 1.24). Screening or case finding increased the use of any intervention by a relative risk of 1.30 (95% CI 0.97 to 1.76). There was no evidence of influence on the prescription of antidepressant medications (RR 1.20, 95% CI 0.87 to 1.66). Seven studies provided data on outcomes of depression, and no evidence of an effect was found (standardized mean difference -0.02, 95% CI -0.25 to 0.20). If used alone, case-finding or screening questionnaires for depression appear to have little or no impact on the detection and management of depression by clinicians. Recommendations to adopt screening strategies using standardized questionnaires without organizational enhancements are not justified.
                Bookmark

                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
                2014
                20 August 2014
                : 4
                : 8
                : e005178
                Affiliations
                [1 ]Leeds Institute of Health Sciences, University of Leeds , Leeds, UK
                [2 ]NHS England , Leeds, UK
                Author notes
                [Correspondence to ] Dr Kate McLintock; k.l.mclintock@ 123456leeds.ac.uk
                Article
                bmjopen-2014-005178
                10.1136/bmjopen-2014-005178
                4139660
                25142262
                b80903ee-f287-4ef6-be13-069648002b56
                Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions

                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 and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

                History
                : 3 March 2014
                : 8 July 2014
                : 24 July 2014
                Categories
                General practice / Family practice
                Research
                1506
                1696
                1712

                Medicine
                primary care,mental health
                Medicine
                primary care, mental health

                Comments

                Comment on this article