Evidence map›Paper›PMID 19602233›Full record

ArticleImplementation science : IS2009

The QICKD study protocol: a cluster randomised trial to compare quality improvement interventions to lower systolic BP in chronic kidney disease (CKD) in primary care.

Simon de Lusignan, Hugh Gallagher, Tom Chan, Nicki Thomas, Jeremy van Vlymen, Michael Nation, Neerja Jain, Aumran Tahir, Elizabeth du Bois, Iain Crinson and 3 more

Open access · goldAbstract read
In one paragraph

Article in Implementation science : IS, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Quality-improvement strategies for the management of hypertension in chronic kidney disease in primary care: a systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2010
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  14. Diabetes screening after gestational diabetes in England: a quantitative retrospective cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2014
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  15. The cost of Type 1 diabetes mellitus in the United Kingdom: a review of cost-of-illness studies.The European journal of health economics : HEPAC : health economics in prevention and care · 2013
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  20. Understanding the management of early-stage chronic kidney disease in primary care: a qualitative study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2012
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 1 country.

Simon de LusignanDivision of Community Health Sciences, St George's - University of London, London, SW17 0RE, UK. slusigna@sgul.ac.uk
Hugh Gallagher
Tom Chan
Nicki Thomas
Jeremy van Vlymen
Michael Nation
Neerja Jain
Aumran Tahir
Elizabeth du Bois
Iain Crinson
Nigel Hague
Fiona Reid
Kevin Harris
St George's, University of London · GBKidney Research UK · GBCity, University of London · GBLeicester General Hospital · GBSouth West Thames Institute for Renal Research · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is a relatively newly recognised but common long-term condition affecting 5 to 10% of the population. Effective management of CKD, with emphasis on strict blood pressure (BP) control, reduces cardiovascular risk and slows the progression of CKD. There is currently an unprecedented rise in referral to specialist renal services, which are often located in tertiary centres, inconvenient for patients, and wasteful of resources. National and international CKD guidelines include quality targets for primary care. However, there have been no rigorous evaluations of strategies to implement these guidelines. This study aims to test whether quality improvement interventions improve primary care management of elevated BP in CKD, reduce cardiovascular risk, and slow renal disease progression

designCluster randomised controlled trial (CRT)

methodsThis three-armed CRT compares two well-established quality improvement interventions with usual practice. The two interventions comprise: provision of clinical practice guidelines with prompts and audit-based education. The study population will be all individuals with CKD from general practices in eight localities across England. Randomisation will take place at the level of the general practices. The intended sample (three arms of 25 practices) powers the study to detect a 3 mmHg difference in systolic BP between the different quality improvement interventions. An additional 10 practices per arm will receive a questionnaire to measure any change in confidence in managing CKD. Follow up will take place over two years. Outcomes will be measured using anonymised routinely collected data extracted from practice computer systems. Our primary outcome measure will be reduction of systolic BP in people with CKD and hypertension at two years. Secondary outcomes will include biomedical outcomes and markers of quality, including practitioner confidence in managing CKD. A small group of practices (n = 4) will take part in an in-depth process evaluation. We will use time series data to examine the natural history of CKD in the community. Finally, we will conduct an economic evaluation based on a comparison of the cost effectiveness of each intervention. CLINICAL TRIALS REGISTRATION: ISRCTN56023731. ClinicalTrials.gov identifier.

Identifiers

PMID19602233
PMCPMC2719588
OpenAlexW2149479678

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.