期刊论文详细信息
BMC Pulmonary Medicine
TargetCOPD: a pragmatic randomised controlled trial of targeted case finding for COPD versus routine practice in primary care: protocol
David A Fitzmaurice4  Amanda Daley4  Stanley Siebert2  Sheila Greenfield4  Robert A Stockley3  Kate Jolly4  Kar Keung Cheng4  Jon G Ayres4  Alice M Turner1  Brendan G Cooper3  Martin R Miller4  Alexandra Enocson4  Richard D Riley4  Jen L Marsh4  Sue Jowett4  Peymané Adab5  Rachel E Jordan4 
[1] Queen Elizabeth Hospital Research Laboratories, Mindelsohn Way, Birmingham, UK;Business School, University of Birmingham, Birmingham, UK;Lung Investigation Unit, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK;School of Health and Populations Sciences, University of Birmingham, Birmingham, UK;Public Health, Epidemiology & Biostatistics, Public Health Building, School of Health and Population Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
关键词: Cost-effectiveness;    Cluster RCT;    Spirometry;    Respiratory questionnaire;    Primary care;    Screening;    Case-finding;    COPD;   
Others  :  1091938
DOI  :  10.1186/1471-2466-14-157
 received in 2014-09-15, accepted in 2014-09-26,  发布年份 2014
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【 摘 要 】

Background

Many people with clinically significant chronic obstructive pulmonary disease (COPD) remain undiagnosed worldwide. There are a number of small studies which have examined possible methods of case finding through primary care, but no large RCTs that have adequately assessed the most cost-effective approach.

Methods/Design

In this study, using a cluster randomised controlled trial (RCT) in 56 general practices in the West Midlands, we plan to investigate the effectiveness and cost-effectiveness of a Targeted approach to case finding for COPD compared with routine practice. Using an individual patient RCT nested in the Targeted arm, we plan also to compare the effectiveness and cost-effectiveness of Active case finding using a postal questionnaire (with supplementary opportunistic questionnaires), and Opportunistic-only case finding during routine surgery consultations.

All ever-smoking patients aged 40-79 years, without a current diagnosis of COPD and registered with participating practices will be eligible. Patients in the Targeted arm who report positive respiratory symptoms (chronic cough or phlegm, wheeze or dyspnoea) using a brief questionnaire will be invited for further spirometric assessment to ascertain whether they have COPD or not. Post-bronchodilator spirometry will be conducted to ATS standards using an Easy One spirometer by trained research assistants.

The primary outcomes will be new cases of COPD and cost per new case identified, comparing targeted case finding with routine care, and two types of targeted case finding (active versus opportunistic). A multilevel logistic regression model will be used to model the probability of detecting a new case of COPD for each treatment arm, with clustering of patients (by practice and household) accounted for using a multi-level structure.

A trial-based analysis will be undertaken using costs and outcomes collected during the trial. Secondary outcomes include the feasibility, efficiency, long-term cost-effectiveness, patient and primary care staff views of each approach.

Discussion

This will be the largest RCT of its kind, and should inform how best to identify undiagnosed patients with COPD in the UK and other similar healthcare systems. Sensitivity analyses will help local policy-makers decide which sub-groups of the population to target first.

Trial registration

Current controlled trials ISRCTN14930255

【 授权许可】

   
2014 Jordan et al.; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Halbert RJ, Natoli JL, Gano A, Badamgarav E, Buist AS, Mannino DM: Global burden of COPD: systematic review and meta-analysis. Eur Respir J 2006, 28(3):523-532.
  • [2]Buist AS, McBurnie M, Vollmer WM, Gillespie S, Burney P, Mannino D, Menezes AMB, Sullivan SD, Lee TA, Weiss KB, Jensen RL, Marks GB, Gulsvik A, Nizankowska-Mogilnicka E, on behalf of the BOLD Collaborative Research Group: International variation in the prevalence of COPD (The BOLD Study): a population-based prevalence study. Lancet 2007, 370:741-750.
  • [3]Murray C, Lopez A: Alternative projections of mortality and disability by cause 1990-2020: Global Burden of Disease Study. Lancet 1997, 349:1498-1504.
  • [4]Britton M: The burden of COPD in the U.K.: results from the confronting COPD survey. Respir Med 2003, 97(3):S71-S79.
  • [5]Bednarek M, Maciejewski J, Wozniak M, Kuca P, Zielinski J: Prevalence, severity and underdiagnosis of COPD in the primary care setting. Thorax 2008, 63(5):402-407.
  • [6]Mannino DM, Gagnon RC, Petty TL, Lydick E: Obstructive Lung Disease and Low Lung Function in Adults in the United States: Data From the National Health and Nutrition Examination Survey, 1988-1994. Arch Intern Med 2000, 160(11):1683-1689.
  • [7]Shahab L, Jarvis MJ, Britton J, West R: Prevalence, diagnosis and relation to tobacco dependence of chronic obstructive pulmonary disease in a nationally representative population sample. Thorax 2006, 61(12):1043-1047.
  • [8]US Preventive Services Task Force: Screening for Chronic obstructive pulmonary disease using spirometry: US Preventive Services Task Force Recommendation Statement. Ann Intern Med 2008, 148:529-534.
  • [9]Soriano JB, Zielinski J, Price D: Screening for and early detection of chronic obstructive pulmonary disease. Lancet 2009, 374(9691):721-732.
  • [10]Jones RC, Price D, Ryan D, Sims EJ, von Ziegenweidt J, Mascarenhas L, Burden A, Halpin DMG, Winter R, Hill S, Kearney M, Holton K, Moger A, Freeman D, Chisholm A, Bateman ED, on behalf of The Respiratory Eff ectiveness Group: Opportunities to diagnose chronic obstructive pulmonary disease in routine care in the UK: a retrospective study of a clinical cohort. The Lancet Respiratory Medicine 2014, 2(4):267-276.
  • [11]On the state of the Public Health: Annual report of the Chief Medical Officer 2004. Available from: http://webarchive.nationalarchives.gov.uk/20130107105354/http://www.dh.gov.uk/prod_consum_dh/groups/dh_digitalassets/@dh/@en/documents/digitalasset/dh_4115781.pdf webcite 2009
  • [12]Healthcare Commission: Clearing the Air. A National Study of Chronic Obstructive Pulmonary Disease. 2006. http://webarchive.nationalarchives.gov.uk/20090724223245/http://www.library.nhs.uk/RESPIRATORY/ViewResource.aspx?resID=144395 webcite
  • [13]An outcomes strategy for people with chronic obstructive pulmonary disease (COPD) and asthma in England http://www.dh.gov.uk/en/Publicationsandstatistics/Publications/PublicationsPolicyAndGuidance/DH_127974 webcite
  • [14]British Lung Foundation: Invisible lives. Chronic obstructive pulmonary disease (COPD) - finding the missing millions. Available from: http://www.blf.org.uk/Page/Special-Reports webcite 2008
  • [15]Mapel DW, Frost F, Hurly J, Petersen H, Roberts M, Marton J, Shah H: An algorithm for the identification of undiagnsoed COPD cases using administrative claims data. J Manag Care Pharm 2006, 12(6):458-465.
  • [16]Soljak M, Flowers J: Closing the gap. Using prevalence models for long-term conditions in the United Kingdom. J Ambulatory Care Manage 2008, 31(3):211-215.
  • [17]Nottinghamshire County Teaching PCT: Search to find COPD 'Missing Millions'. 2007. Last accessed 2008
  • [18]Sandwell NHS Primary Care Trust: Finding the Missing Millions. Sandwell Health Report 2008, 1-2. Last accessed 2008
  • [19]Frank T, Hazell M, Linehan M, Frank P: The diagnostic accuracies of chronic obstructive pulmonary disease (COPD) in general practice: the results of the MAGIC (Manchester Airways Group Identifying COPD) study. Prim Care Resp J 2006, 15:286-293.
  • [20]Tinkelman D, Price D, Nordyke R, Halbert R: COPD screening efforts in primary care: what is the yield? Prim Care Resp J 2007, 16(1):41-48.
  • [21]Buffels J, Degryse J, Heyrman J, Decramer M: Office Spirometry Significantly Improves Early Detection of COPD in General Practice. Chest 2004, 125(4):1394-1399.
  • [22]Gingter C, Wilm S, Abholz HH: Is COPD a rare disease? Prevalence and identification rates in smokers aged 40 years and over within general practice in Germany. Fam Pract 2009, 26(1):3-9.
  • [23]van Schayck CP, Loozen JMC, Wagena E, Akkermans RP, Wesseling GJ: Detecting patients at a high risk of developing chronic obstructive pulmonary disease in general practice: cross sectional case finding study. BMJ 2002, 324(7350):1370.
  • [24]Vandevoorde J, Verbanck S, Gijssels L, Schuermans D, Devroey D, De Backer J, Kartounian J, Vincken W: Early detection of COPD: A case finding study in general practice. Respir Med 2007, 101(3):525-530.
  • [25]Kelly JL, Elkin SL, Fluxman J, Polkey MI, Soljak MA, Hopkinson NS: Breathlessness and Skeletal Muscle Weakness in Patients Undergoing Lung Health Screening in Primary Care. COPD 2013, 10:40-54. doi:10.3109/15412555.2012.727923
  • [26]Dirven JAM, Tange HJ, Muris JWM, van Haaren KMA, Vink G, van Schayck OCP: Early detection of COPD in general practice: patient or practice managed? A randomised controlled trial of two strategies in different socioeconomic environments. Prim Care Respir J 2013, 22(3):331-337.
  • [27]Haroon S, Adab P, Griffin C, Jordan R: Case finding for chronic obstructive pulmonary disease in primary care: a pilot randomised controlled trial. Brit J Gen Pract 2013, 63(606):26-27.
  • [28]The UK NSC policy on Chronic Obstructive Pulmonary Disease http://www.screening.nhs.uk/copd webcite
  • [29]Wilt TJ, Niewoehner D, MacDonald R, Kane RL: Management of Stable Chronic Obstructive Pulmonary Disease: A Systematic Review for a Clinical Practice Guideline. Ann Intern Med 2007, 147(9):639-653.
  • [30]Wilt T, Kim C-B, Kane R, Linabery A, Tacklind J, MacDonald R, Rutks I: Use of spirometry for case finding, diagnosis and management of chronic obstructive pulmonary disease (COPD). Evidence Report/Technology assessment No 121 (prepared by the Minnesota Evidence-based practice Center under Contract No 290-02-0009) 2005;AHRQ Publication No. 05-E017-2. Rockville, MD: Agency for Healthcare Research and Quality; 2005.
  • [31]National Institute for Health and Clinical Excellence: Chronic obstructive pulmonary disease : management of chronic obstructive pulmonary disease in adults in primary and secondary care. London: National Institute for Health and Clinical Excellence; 2010.
  • [32]Jordan RE, Lam K-BH, Cheng KK, Miller MR, Marsh JL, Ayres JG, Fitzmaurice D, Adab P: Case finding for chronic obstructive pulmonary disease: a model for optimizing a targeted approach. Thorax 2010, 65:492-498.
  • [33]Decramer M, Celli B, Kesten S, Lystig T, Mehra S, Tashkin DP, for the UPLIFT investigators: Effect of tiotropium on outcomes in patients with moderate chronic obstructive pulmonary disease (UPLIFT): a prespecified subgroup analysis of a randomised controlled trial. Lancet 2009, 374(9696):1171-1178.
  • [34]Hazell ML, Morris JA, Linehan MF, Frank PI, Frank TL: Factors influencing the response to postal questionnaire surveys about respiratory symptoms. Prim Care Respir J 2009, 18(3):165-170. doi:10.3132/pcrj.2009.00001
  • [35]Miller MR, Hankinson J, Brusasco V, Burgos F, Casaburi R, Coates A, Crapo R, Enright P, van der Grinten CP, Gustafsson P, Jensen R, Johnson DC, MacIntyre N, McKay R, Navajas D, Pedersen OF, Pellegrino R, Viegi G, Wanger J, ATS/ERS Task Force: Standardisation of spirometry. Eur Respir J 2005, 26(2):319-338.
  • [36]EQ-5D http://www.euroqol.org/home.html webcite
  • [37]Jones PW: Development and first validation of the COPD Assessment Test. Eur Respir J 2009, 34(3):648-654.
  • [38]Raab GM, Butcher I: Balance in cluster randomized trials. Stat Med 2001, 20:351-365.
  • [39]Carter B, Hood K: Balance algorithm for cluster randomised trials. BMC Med Res Methodol 2008, 8:65. BioMed Central Full Text
  • [40]Quality and Outcomes Framework http://www.hscic.gov.uk/qof webcite
  • [41]Quanjer PH, Stanojevic S, Cole TJ, Baur X, Hall GL, Culver BH, Enright PL, Hankinson JL, Ip MSM, Zheng J, Stocks J, and the ERS Global Lung Function Initiative: Multi-ethnic reference values for spirometry for the 3–95-yr age range: the global lung function 2012 equations. Eur Respir J 2012, 40:1324-1343. doi:10.1183/09031936.00080312
  • [42]Simpson CR, Hippisley-Cox J, Sheikh A: Trends in the epidemiology of chronic obstructive pulmonary disease in England: a national study of 51 804 patients. Br J Gen Pract 2010, 60(576):277-284.
  • [43]Adams G, Gulliford MC, Ukoumunne OC, Eldridge S, Chinn S, Campbell MJ: Patterns of intra-cluster correlation from primary care research to inform study design and analysis. J Clin Epidemiol 2004, 57(8):785-794.
  • [44]Gulliford MC, Adams G, Ukoumunne OC, Latinovic R, Chinn S, Campbell MJ: Intraclass correlation coefficient and outcome prevalence are associated in clustered binary data. J Clin Epidemiol 2005, 58:246-251.
  • [45]Austin PC: Absolute risk reductions, relative risks, relative risk reductions, and numbers needed to treat can be obtained from a logistic regression model. J Clin Epidemiol 2010, 63(1):2-6.
  • [46]Lacalio AR, Margolis DJ, Berlin JA: Relative risks and confidence intervals were easily computed indirectly from multivariable logistic regression. J Clin Epidemiol 2007, 60(9):874-882.
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