Dataset Information

Quality improvement needed in quality improvement randomised trials: systematic review of interventions to improve care in diabetes.

ABSTRACT:

Objective

Despite the increasing numbers of published trials of quality improvement (QI) interventions in diabetes, little is known about the risk of bias in this literature.

Design

Secondary analysis of a systematic review.

Data sources

Medline, the Cochrane Effective Practice and Organisation of Care (EPOC) database (from inception to July 2010) and references of included studies.

Eligibility criteria

Randomised trials assessing 11 predefined QI strategies or financial incentives targeting health systems, healthcare professionals or patients to improve the management of adult outpatients with diabetes.

Analysis

Risk of bias (low, unclear or high) was assessed for the 142 trials in the review across nine domains using the EPOC version of the Cochrane Risk of Bias Tool. We used Cochran-Armitage tests for trends to evaluate the improvement over time.

Results

There was no significant improvement over time in any of the risk of bias domains. Attrition bias (loss to follow-up) was the most common source of bias, with 24 trials (17%) having high risk of bias due to incomplete outcome data. Overall, 69 trials (49%) had at least one domain with high risk of bias. Inadequate reporting frequently hampered the risk of bias assessment: allocation sequence was unclear in 82 trials (58%) and allocation concealment was unclear in 78 trials (55%). There were significant reductions neither in the proportions of studies at high risk of bias over time nor in the adequacy of reporting of risk of bias domains.

Conclusions

Nearly half of the included QI trials in this review were judged to have high risk of bias. Such trials have serious limitations that put the findings in question and therefore inhibit evidence-based QI. There is a need to limit the potential for bias when conducting QI trials and improve the quality of reporting of QI trials so that stakeholders have adequate evidence for implementation.

SUBMITTER: Ivers NM

PROVIDER: S-EPMC3641459 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Publications

Quality improvement needed in quality improvement randomised trials: systematic review of interventions to improve care in diabetes.

Ivers Noah M NM Tricco Andrea C AC Taljaard Monica M Halperin Ilana I Turner Lucy L Moher David D Grimshaw Jeremy M JM

BMJ open 20130409 4

<h4>Objective</h4>Despite the increasing numbers of published trials of quality improvement (QI) interventions in diabetes, little is known about the risk of bias in this literature.<h4>Design</h4>Secondary analysis of a systematic review.<h4>Data sources</h4>Medline, the Cochrane Effective Practice and Organisation of Care (EPOC) database (from inception to July 2010) and references of included studies.<h4>Eligibility criteria</h4>Randomised trials assessing 11 predefined QI strategies or finan ...[more]

PMID: 23576000

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Project description:Background and aimsDespite well documented disparities in health and healthcare in rural communities, evidence in relation to quality improvement (QI) interventions in those settings is still lacking. The main goals of this work were to assess the effectiveness of QI strategies designed to improve diabetes care in rural areas, and identify characteristics associated with greater success.MethodsWe conducted a systematic review and meta-analysis. Systematic electronic searches were conducted in MEDLINE, EMBASE, CINAHL, and 12 additional bibliographic sources. Experimental studies carried out in the OECD member countries assessing the effectiveness of QI interventions aiming to improve diabetes care in rural areas were included. The effect of the interventions and their impact on glycated hemoglobin was pooled using a random-effects meta-analysis.ResultsTwenty-six studies assessing the effectiveness of twenty QI interventions were included. Interventions targeted patients (45%), clinicians (5%), the health system (15%), or several targets (35%), and consisted of the implementation of one or multiple QI strategies. Most of the interventions produced a positive impact on processes of care or diabetes self-management, but a lower effect on health outcomes was observed. Interventions with multiple strategies and targeting the health system and/or clinicians were more likely to be effective. Six QI interventions were included in the meta-analysis (1,496 patients), which showed a significant reduction in overall glycated hemoglobin of 0.41 points from baseline in those patients receiving the interventions (95% CI -0.75% to -0.07%).ConclusionsThis work identified several characteristics associated with successful interventions to improve the quality of diabetes care in rural areas. Efforts to improve diabetes care in rural communities should focus on interventions with multiple strategies targeted at clinicians and/or the health system, rather than on traditional patient-oriented interventions.

Project description:ObjectiveTo determine whether psychological interventions have any effect on glycaemic control in people with type 1 diabetes.DesignSystematic review and meta-analysis of psychological therapies to assess their effectiveness in improving glycaemic control in type 1 diabetes.Data sourcesMedline, PsycINFO, Embase, and Cochrane central register of controlled trials searched to September 2004.Review methodsAll included studies were randomised controlled trials in children (including adolescents) or adults with type 1 diabetes that evaluated the effect of a psychological therapy (counselling, cognitive behaviour therapy, family systems therapy, and psychodynamic therapy) on control of diabetes. Data were extracted on sample size, age, duration of diabetes, type of psychological therapy, its mode of delivery, and type of intervention in control group.Main outcome measuresGlycaemic control measured by percentage of glycated haemoglobin and psychological distress. Pooled standardised effect sizes were calculated.Results29 trials were eligible for the systematic review and 21 trials for the meta-analysis. In the 10 studies of children and adolescents included in the meta-analysis, the mean percentage of glycated haemoglobin was significantly reduced in those who had received a psychological intervention compared with those in the control group (pooled standardised mean difference -0.35 (95% confidence interval -0.66 to -0.04), equivalent to a 0.48% (0.05% to 0.91%) absolute reduction in glycated haemoglobin. In the 11 studies in adults the pooled standardised mean difference was -0.17 (-0.45 to 0.10), equivalent to 0.22% (-0.13% to 0.56%) absolute reduction in glycated haemoglobin. Psychological distress was significantly lower in the intervention groups in children and adolescents (pooled standardised effect size -0.46, -0.83 to -0.10) but not in adults (-0.25, -0.51 to 0.01).ConclusionPsychological treatments can slightly improve glycaemic control in children and adolescents with diabetes but have no effect in adults.

Project description:In the U.S., where the prevalence of type 2 diabetes has reached epidemic proportions, many patients with this disease are treated by primary care physicians in community-based systems, including accountable care organisations (ACOs). To address gaps in the quality of diabetes care, national quality measures have been established, including patient-centered measures adopted by the Centers for Medicare and Medicaid Services for its Shared Savings Program for ACOs. From a patient-centered perspective, high-quality diabetes care depends on effective communication between clinicians and patients, along with patient education and counseling about medications and lifestyle. We designed and implemented a quality improvement (QI) program for 30 primary care physicians treating patients with type 2 diabetes in three structurally similar but geographically diverse ACOs. Retrospective chart audits were conducted before (n = 300) and after (n = 300) each physician participated in accredited continuing medical education (CME) courses that focused on QI strategies. Randomly selected charts were audited to measurably assess essential interventions for improved outcomes in type 2 diabetes including the physicians' documentation of patient counseling and assessment of side effects, and patients' medication adherence status and changes in hemoglobin A1C (A1C) and body mass index (BMI). Paced educational interventions included a private performance improvement Internet live course conducted for each physician, small-group Internet live courses involving peer discussion, and a set of enduring materials, which were also multi-accredited for all clinicians in the physician's practice. Continual improvement cycles were guided by analysis of the baseline chart audits, quantitative survey data, and qualitative feedback offered by participants. To extend the benefit of the education, the enduring materials were offered to the interprofessional team of clinicians throughout the U.S. who did not participate in the QI program. For brevity, this article presents outcomes of the 30 primary care physicians. Baseline to post-education improvements were observed for percentages of charts with documented assessment of medication side effects (+11%) and counseling about medication risks/benefits (+28%), medication adherence (+13%), and lifestyle modifications (+8%). Improvements were also observed for documented adherence to diabetes medications (+24%) and first-to-last visit changes in A1C (-0.16%) and BMI (-2.1). The findings indicate a positive influence of QI education on primary care physicians' performance of patient-centered quality measures and patient outcomes.

Project description:BACKGROUND:Socially disadvantaged populations carry a disproportionate burden of diabetes-related morbidity and mortality. There is an emerging interest in quality improvement (QI) strategies in the care of patients with diabetes, however, the effect of these interventions on disadvantaged groups remains unclear. OBJECTIVE:This is a secondary analysis of a systematic review that seeks to examine the extent of equity considerations in diabetes QI studies, specifically quantifying the proportion of studies that target interventions toward disadvantaged populations and conduct analyses on the impact of interventions on disadvantaged groups. RESEARCH DESIGN AND METHODS:Studies were identified using Medline, HealthStar and the Cochrane Effective Practice and Organisation of Care database. Randomised controlled trials assessing 12 QI strategies targeting health systems, healthcare professionals and/or patients for the management of adult outpatients with diabetes were eligible. The place of residence, race/ethnicity/culture/language, occupational status, gender/sexual identity, religious affiliations, education level, socioeconomic status, social capital, plus age, disability, sexual preferences and relationships (PROGRESS-Plus) framework was used to identify trials that focused on disadvantaged patient populations, to examine the types of equity-relevant factors that are being considered and to explore temporal trends in equity-relevant diabetes QI trials. RESULTS:Of the 278 trials that met the inclusion criteria, 95 trials had equity-relevant considerations. These include 64 targeted trials that focused on a disadvantaged population with the aim to improve the health status of that population and 31 general trials that undertook subgroup analyses to assess the extent to which their interventions may have had differential impacts on disadvantaged subgroups. Trials predominantly focused on race/ethnicity, socioeconomic status and place of residence as potential factors for disadvantage in patients receiving diabetes care. CONCLUSIONS:Less than one-third of diabetes QI trials included equity-relevant considerations, limiting the relevance and applicability of their data to disadvantaged populations. There is a need for better data collection, reporting, analysis and interventions on the social determinants of health that may influence the health outcomes of patients with diabetes. PROSPERO REGISTRATION NUMBER:CRD42013005165.

Project description:ObjectivesHealthcare is required to be effectively organised to ensure that growing, aging and medically more complex populations have timely access to high-quality, affordable care. Cardiac surgery is no exception to this, especially due to the competition for and demand on hospital resources, such as operating rooms and intensive care capacity. This is challenged more since the COVID-19 pandemic led to postponed care and prolonged waiting lists. In other sectors, Quality Improvement Methodologies (QIM) derived from the manufacturing industry have proven effective in enabling more efficient utilisation of existing capacity and resources and in improving the quality of care. We performed a systematic review to evaluate the ability of such QIM to improve care in cardiac surgery.MethodsA literature search was performed in PubMed, Embase, Clarivate Analytics/Web of Science Core Collection and Wiley/the Cochrane Library according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis methodology.ResultsTen articles were identified. The following QIM were used: Lean, Toyota Production System, Six Sigma, Lean Six Sigma, Root Cause Analysis, Kaizen and Plan-Do-Study-Act. All reported one or more relevant improvements in patient-related (e.g., infection rates, ventilation time, mortality, adverse events, glycaemic control) and process-related outcomes (e.g., shorter waiting times, shorter transfer time and productivity). Elements to enhance the success included: multidisciplinary team engagement, a patient-oriented, data-driven approach, a sense of urgency and a focus on sustainability.ConclusionsIn all ten papers describing the application of QIM initiatives to cardiac surgery, positive results, of varying magnitude, were reported. While the consistency of the available data is encouraging, the limited quantity and heterogenous quality of the evidence base highlights that more rigorous evaluation, including how best to employ manufacturing industry-derived QIM in cardiac surgery is warranted.

Dataset Information

Quality improvement needed in quality improvement randomised trials: systematic review of interventions to improve care in diabetes.

Objective

Design

Data sources

Eligibility criteria

Analysis

Results

Conclusions

Publications

Quality improvement needed in quality improvement randomised trials: systematic review of interventions to improve care in diabetes.

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