Cluster-randomized controlled trials evaluating complex interventions in general practices are mostly ineffective: a systematic review
The aim of this study was to evaluate how frequently complex interventions are shown to be superior to routine care in general practice-based cluster-randomized controlled studies (c-RCTs) and to explore whether potential differences explain results that come out in favor of a complex intervention....
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Veröffentlicht in: | Journal of clinical epidemiology 2018-02, Vol.94, p.85-96 |
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creator | Siebenhofer, Andrea Paulitsch, Michael A. Pregartner, Gudrun Berghold, Andrea Jeitler, Klaus Muth, Christiane Engler, Jennifer |
description | The aim of this study was to evaluate how frequently complex interventions are shown to be superior to routine care in general practice-based cluster-randomized controlled studies (c-RCTs) and to explore whether potential differences explain results that come out in favor of a complex intervention.
We performed an unrestricted search in the Central Register of Controlled Trials, MEDLINE, and EMBASE. Included were all c-RCTs that included a patient-relevant primary outcome in a general practice setting with at least 1-year follow-up. We extracted effect sizes, P-values, intracluster correlation coefficients (ICCs), and 22 quality aspects.
We identified 29 trials with 99 patient-relevant primary outcomes. After adjustment for multiple testing on a trial level, four outcomes (4%) in four studies (14%) remained statistically significant. Of the 11 studies that reported ICCs, in 8, the ICC was equal to or smaller than the assumed ICC. In 16 of the 17 studies with available sample size calculation, effect sizes were smaller than anticipated.
More than 85% of the c-RCTs failed to demonstrate a beneficial effect on a predefined primary endpoint. All but one study were overly optimistic with regard to the expected treatment effect. This highlights the importance of weighing up the potential merit of new treatments and planning prospectively, when designing clinical studies in a general practice setting. |
doi_str_mv | 10.1016/j.jclinepi.2017.10.010 |
format | Article |
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We performed an unrestricted search in the Central Register of Controlled Trials, MEDLINE, and EMBASE. Included were all c-RCTs that included a patient-relevant primary outcome in a general practice setting with at least 1-year follow-up. We extracted effect sizes, P-values, intracluster correlation coefficients (ICCs), and 22 quality aspects.
We identified 29 trials with 99 patient-relevant primary outcomes. After adjustment for multiple testing on a trial level, four outcomes (4%) in four studies (14%) remained statistically significant. Of the 11 studies that reported ICCs, in 8, the ICC was equal to or smaller than the assumed ICC. In 16 of the 17 studies with available sample size calculation, effect sizes were smaller than anticipated.
More than 85% of the c-RCTs failed to demonstrate a beneficial effect on a predefined primary endpoint. All but one study were overly optimistic with regard to the expected treatment effect. This highlights the importance of weighing up the potential merit of new treatments and planning prospectively, when designing clinical studies in a general practice setting.</description><identifier>ISSN: 0895-4356</identifier><identifier>EISSN: 1878-5921</identifier><identifier>DOI: 10.1016/j.jclinepi.2017.10.010</identifier><identifier>PMID: 29111470</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Asthma ; Bias ; Chronic illnesses ; Clinical trials ; Cluster-randomized controlled trial ; Clusters ; Complex intervention ; Correlation coefficient ; Correlation coefficients ; Diabetes ; Effectiveness ; Epidemiology ; General practice ; General Practice - methods ; Humans ; Intervention ; Mortality ; Primary care ; Quality of life ; Randomization ; Randomized Controlled Trials as Topic - standards ; Sample Size ; Shortcomings ; Statistical analysis ; Studies ; Systematic review ; Treatment Outcome</subject><ispartof>Journal of clinical epidemiology, 2018-02, Vol.94, p.85-96</ispartof><rights>2017 Elsevier Inc.</rights><rights>Copyright © 2017 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Science Ltd. Feb 1, 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-313e55a943b1acca53273963adee7fac8c3448fd56329cb5fd811e1e772856833</citedby><cites>FETCH-LOGICAL-c396t-313e55a943b1acca53273963adee7fac8c3448fd56329cb5fd811e1e772856833</cites><orcidid>0000-0002-6030-1513</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0895435617304067$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29111470$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Siebenhofer, Andrea</creatorcontrib><creatorcontrib>Paulitsch, Michael A.</creatorcontrib><creatorcontrib>Pregartner, Gudrun</creatorcontrib><creatorcontrib>Berghold, Andrea</creatorcontrib><creatorcontrib>Jeitler, Klaus</creatorcontrib><creatorcontrib>Muth, Christiane</creatorcontrib><creatorcontrib>Engler, Jennifer</creatorcontrib><title>Cluster-randomized controlled trials evaluating complex interventions in general practices are mostly ineffective: a systematic review</title><title>Journal of clinical epidemiology</title><addtitle>J Clin Epidemiol</addtitle><description>The aim of this study was to evaluate how frequently complex interventions are shown to be superior to routine care in general practice-based cluster-randomized controlled studies (c-RCTs) and to explore whether potential differences explain results that come out in favor of a complex intervention.
We performed an unrestricted search in the Central Register of Controlled Trials, MEDLINE, and EMBASE. Included were all c-RCTs that included a patient-relevant primary outcome in a general practice setting with at least 1-year follow-up. We extracted effect sizes, P-values, intracluster correlation coefficients (ICCs), and 22 quality aspects.
We identified 29 trials with 99 patient-relevant primary outcomes. After adjustment for multiple testing on a trial level, four outcomes (4%) in four studies (14%) remained statistically significant. Of the 11 studies that reported ICCs, in 8, the ICC was equal to or smaller than the assumed ICC. In 16 of the 17 studies with available sample size calculation, effect sizes were smaller than anticipated.
More than 85% of the c-RCTs failed to demonstrate a beneficial effect on a predefined primary endpoint. All but one study were overly optimistic with regard to the expected treatment effect. This highlights the importance of weighing up the potential merit of new treatments and planning prospectively, when designing clinical studies in a general practice setting.</description><subject>Asthma</subject><subject>Bias</subject><subject>Chronic illnesses</subject><subject>Clinical trials</subject><subject>Cluster-randomized controlled trial</subject><subject>Clusters</subject><subject>Complex intervention</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Diabetes</subject><subject>Effectiveness</subject><subject>Epidemiology</subject><subject>General practice</subject><subject>General Practice - methods</subject><subject>Humans</subject><subject>Intervention</subject><subject>Mortality</subject><subject>Primary care</subject><subject>Quality of life</subject><subject>Randomization</subject><subject>Randomized Controlled Trials as Topic - standards</subject><subject>Sample Size</subject><subject>Shortcomings</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Systematic review</subject><subject>Treatment Outcome</subject><issn>0895-4356</issn><issn>1878-5921</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkc9u1DAQxi0EokvhFSpLXLhkseM4cTiBVvyTKvXSni2vM6kcOXawnYXlAXhuZrUtBy492Z75zTfW9xFyxdmWM96-n7aT9S7A4rY14x0Wt4yzZ2TDVacq2df8Odkw1cuqEbK9IK9ynhiCrJMvyUXdc86bjm3In51fc4FUJROGOLvfMFAbQ0nRe7yW5IzPFA7Gr6a4cI_NefHwi7qAUwcIxcWQ8UXvIUAyni7J2OIsZGoS0Dnm4o_Yh3EErB_gAzU0H3HnjIKWJjg4-PmavBhxEbx5OC_J3ZfPt7tv1fXN1--7T9eVFX1bKsEFSGn6Ruy5sdZIUXfYEGYA6EZjlRVNo8ZBtqLu7V6Og-IcOHRdrWSrhLgk7866S4o_VshFzy5b8N4EiGvWvG95K3qlGkTf_odOcU0Bf6drdFIiWiuk2jNlU8w5waiX5GaTjpozfUpKT_oxKX1K6lTHpHDw6kF-3c8w_Bt7jAaBj2cA0A_0KOlsHQQLg0vopB6ie2rHX_stqzI</recordid><startdate>201802</startdate><enddate>201802</enddate><creator>Siebenhofer, Andrea</creator><creator>Paulitsch, Michael A.</creator><creator>Pregartner, Gudrun</creator><creator>Berghold, Andrea</creator><creator>Jeitler, Klaus</creator><creator>Muth, Christiane</creator><creator>Engler, Jennifer</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7QP</scope><scope>7RV</scope><scope>7T2</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6030-1513</orcidid></search><sort><creationdate>201802</creationdate><title>Cluster-randomized controlled trials evaluating complex interventions in general practices are mostly ineffective: a systematic review</title><author>Siebenhofer, Andrea ; Paulitsch, Michael A. ; Pregartner, Gudrun ; Berghold, Andrea ; Jeitler, Klaus ; Muth, Christiane ; Engler, Jennifer</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-313e55a943b1acca53273963adee7fac8c3448fd56329cb5fd811e1e772856833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Asthma</topic><topic>Bias</topic><topic>Chronic illnesses</topic><topic>Clinical trials</topic><topic>Cluster-randomized controlled trial</topic><topic>Clusters</topic><topic>Complex intervention</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Diabetes</topic><topic>Effectiveness</topic><topic>Epidemiology</topic><topic>General practice</topic><topic>General Practice - 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Academic</collection><jtitle>Journal of clinical epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Siebenhofer, Andrea</au><au>Paulitsch, Michael A.</au><au>Pregartner, Gudrun</au><au>Berghold, Andrea</au><au>Jeitler, Klaus</au><au>Muth, Christiane</au><au>Engler, Jennifer</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cluster-randomized controlled trials evaluating complex interventions in general practices are mostly ineffective: a systematic review</atitle><jtitle>Journal of clinical epidemiology</jtitle><addtitle>J Clin Epidemiol</addtitle><date>2018-02</date><risdate>2018</risdate><volume>94</volume><spage>85</spage><epage>96</epage><pages>85-96</pages><issn>0895-4356</issn><eissn>1878-5921</eissn><abstract>The aim of this study was to evaluate how frequently complex interventions are shown to be superior to routine care in general practice-based cluster-randomized controlled studies (c-RCTs) and to explore whether potential differences explain results that come out in favor of a complex intervention.
We performed an unrestricted search in the Central Register of Controlled Trials, MEDLINE, and EMBASE. Included were all c-RCTs that included a patient-relevant primary outcome in a general practice setting with at least 1-year follow-up. We extracted effect sizes, P-values, intracluster correlation coefficients (ICCs), and 22 quality aspects.
We identified 29 trials with 99 patient-relevant primary outcomes. After adjustment for multiple testing on a trial level, four outcomes (4%) in four studies (14%) remained statistically significant. Of the 11 studies that reported ICCs, in 8, the ICC was equal to or smaller than the assumed ICC. In 16 of the 17 studies with available sample size calculation, effect sizes were smaller than anticipated.
More than 85% of the c-RCTs failed to demonstrate a beneficial effect on a predefined primary endpoint. All but one study were overly optimistic with regard to the expected treatment effect. This highlights the importance of weighing up the potential merit of new treatments and planning prospectively, when designing clinical studies in a general practice setting.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>29111470</pmid><doi>10.1016/j.jclinepi.2017.10.010</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-6030-1513</orcidid></addata></record> |
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subjects | Asthma Bias Chronic illnesses Clinical trials Cluster-randomized controlled trial Clusters Complex intervention Correlation coefficient Correlation coefficients Diabetes Effectiveness Epidemiology General practice General Practice - methods Humans Intervention Mortality Primary care Quality of life Randomization Randomized Controlled Trials as Topic - standards Sample Size Shortcomings Statistical analysis Studies Systematic review Treatment Outcome |
title | Cluster-randomized controlled trials evaluating complex interventions in general practices are mostly ineffective: a systematic review |
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