Advertisement
Research Article| Volume 36, SUPPLEMENT 1, S83-S92, September 2010

Download started.

Ok

Variation in treatment and outcome in patients with non-small cell lung cancer by region, hospital type and volume in the Netherlands

      Abstract

      Background

      Care processes for patients with NSCLC can vary by provider, which may lead to unwanted variation in outcomes. Therefore, in modern health care an increased focus on guideline development and implementation is seen. It is expected that more guideline adherence leads to a higher number of patients receiving optimal treatment for their cancer which could improve overall survival.

      Objective

      The aim of this study was to evaluate variations in treatment patterns and outcomes of patients with NSCLC treated in different (types of) hospitals and regions in the Netherlands. Especially, variation in the percentage of patients receiving the optimal treatment for the stage of their disease, according to the Dutch national guideline of 2004, was analyzed.

      Methods

      All patients with a histological confirmed primary NSCLC diagnosed in the period 2001–2006 in all Dutch hospitals (N = 97) were selected from the population-based Netherlands Cancer Registry. Hospitals were divided in groups based on their region (N = 9), annual volume of NSCLC patients, teaching status and presence of radiotherapy facilities. Stage-specific differences in optimal treatment rates between (groups of) hospitals and regions were evaluated.

      Results

      In the study period 43 544 patients were diagnosed with NSCLC. The resection rates for stage I/II NSCLC patients increased during the study period, but resection rates varied by region and were higher in teaching hospitals for thoracic surgeons (OR 1.5; 95%CI 1.2–1.9, p = 0.001) and in hospitals with a diagnostic volume of more than 50/year (OR 1.3; 95%CI 1.1–1.5, p = 0.001). Also the use of chemoradiation in stage III patients increased, though marked differences between hospitals in the use of chemoradiation for stage III patients were revealed. Differences in optimal treatment rates between hospitals led to differences in survival.

      Conclusion

      Treatment patterns and outcome of NSCLC patients in the Netherlands varied by region and the hospital their cancer was diagnosed in. Though resection rates were higher in hospitals training thoracic surgeons, variation between individual hospitals was much more distinct. Hospital characteristics like a high diagnostic volume, teaching status or availability of radiotherapy facilities proved no guarantee for optimal treatment rates.

      Keywords

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to European Journal of Surgical Oncology
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

      1. Chowdhury MM. A systematic review of the impact of volume of surgery and specialization on patient outcome; 2007.

        • Dransfield M.T.
        • Lock B.J.
        • Garver Jr., R.I.
        Improving the lung cancer resection rate in the US department of veterans affairs health system.
        Clin Lung Cancer. 2006; 7: 268-272
        • Laroche C.
        • Wells F.
        • Coulden R.
        • et al.
        Improving surgical resection rate in lung cancer.
        Thorax. 1998; 53: 445-449
        • Potosky A.L.
        • Saxman S.
        • Wallace R.B.
        • Lynch C.F.
        Population variations in the initial treatment of non-small-cell lung cancer.
        J Clin Oncol. 2004; 22: 3261-3268
        • Walsh G.L.
        • Winn R.J.
        Baseline institutional compliance with NCCN guidelines: non-small-cell lung cancer.
        Oncology (Williston Park). 1997; 11: 161-170
      2. IKC-net. IKC-net. 15-1-2010.

        • Karim-Kos H.E.
        • Janssen-Heijnen M.L.
        • van Iersel C.A.
        • van der Meer R.M.
        • de V.E.
        • Coebergh J.W.
        The beginning of the end of the lung cancer epidemic in Dutch women?.
        Int J Cancer. 2008; 123: 1472-1475
        • Visser O.
        • Coebergh J.W.W.
        • Dijck van J.A.A.M.
        • Siesling S.
        Incidence of cancer in the Netherlands 1998.
        Vereniging van Integrale Kankercentra, Utrecht2002
      3. Fritz A. Percy C. Jack A. International classification of diseases for oncology. 3rd ed. WHO, Geneva2000
      4. Wittekind C. Greene F.L. Hutter R.V.P. Klimpfinger M. Sobin L.H. TNM atlas. Springer-Verlag, Berlin2004
        • Schouten L.J.
        • Jager J.J.
        • van den Brandt P.A.
        Quality of cancer registry data: a comparison of data provided by clinicians with those of registration personnel.
        Br J Cancer. 1993; 68: 974-977
        • Schouten L.J.
        • Hoppener P.
        • van den Brandt P.A.
        • Knottnerus J.A.
        • Jager J.J.
        Completeness of cancer registration in Limburg, the Netherlands.
        Int J Epidemiol. 1993; 22: 369-376
        • van Tinteren H.
        • Hoekstra O.S.
        • Smit E.F.
        • et al.
        Effectiveness of positron emission tomography in the preoperative assessment of patients with suspected non-small-cell lung cancer: the PLUS multicentre randomised trial.
        Lancet. 2002; 359: 1388-1393
      5. ZonMw Doelmatigheidsonderzoek. PET gepast gebruik(t), ZonMw; 2007.

      6. Kwaliteitsinstituut voor de gezondheidszorg CBO. Richtlijn Niet-kleincellig longcarcinoom: stadiering en behandeling, Van Zuiden Communications; 2004.

        • Agresti A.
        • Coul B.A.
        Approximate is better than “Exact” for interval estimation of binomial proportions.
        Amer Statistician. 1998; 52: 119-126
        • Cerfolio R.J.
        • Bryant A.S.
        • Scott E.
        • et al.
        Women with pathologic stage I, II, and III non-small cell lung cancer have better survival than men.
        Chest. 2006; 130: 1796-1802
        • Damhuis R.A.
        • Schutte P.R.
        Resection rates and postoperative mortality in 7,899 patients with lung cancer.
        Eur Respir J. 1996; 9: 7-10
        • Esnaola N.F.
        • Gebregziabher M.
        • Knott K.
        • et al.
        Underuse of surgical resection for localized, non-small cell lung cancer among Whites and African Americans in South Carolina.
        Ann Thorac Surg. 2008; 86: 220-226
        • Jack R.H.
        • Gulliford M.C.
        • Ferguson J.
        • Moller H.
        Geographical inequalities in lung cancer management and survival in South East England: evidence of variation in access to oncology services?.
        Br J Cancer. 2003; 88: 1025-1031
        • Jazieh A.R.
        • Kyasa M.J.
        • Sethuraman G.
        • Howington J.
        Disparities in surgical resection of early-stage non-small cell lung cancer.
        J Thorac Cardiovasc Surg. 2002; 123: 1173-1176
        • Lathan C.S.
        • Neville B.A.
        • Earle C.C.
        The effect of race on invasive staging and surgery in non-small-cell lung cancer.
        J Clin Oncol. 2006; 24: 413-418
        • Cartman M.L.
        • Hatfield A.C.
        • Muers M.F.
        • Peake M.D.
        • Haward R.A.
        • Forman D.
        Lung cancer: district active treatment rates affect survival.
        J Epidemiol Community Health. 2002; 56: 424-429
        • Goodney P.P.
        • Lucas F.L.
        • Stukel T.A.
        • Birkmeyer J.D.
        Surgeon Specialty and operative mortality with lung resection.
        Ann Surg. 2005; 241: 179-184
        • Li W.W.
        • Visser O.
        • Ubbink D.T.
        • Klomp H.M.
        • Kloek J.J.
        • de Mol B.A.
        The influence of provider characteristics on resection rates and survival in patients with localized non-small cell lung cancer.
        Lung Cancer. 2008; 60: 441-451
        • Bach P.B.
        • Cramer L.D.
        • Schrag D.
        • Downey R.J.
        • Gelfand S.E.
        • Begg C.B.
        The influence of hospital volume on survival after resection for lung cancer.
        N Engl J Med. 2001; 345: 181-188
        • Martin-Ucar A.E.
        • Waller D.A.
        • Atkins J.L.
        • Swinson D.
        • O’Byrne K.J.
        • Peake M.D.
        The beneficial effects of specialist thoracic surgery on the resection rate for non-small-cell lung cancer.
        Lung Cancer. 2004; 46: 227-232
        • Birkmeyer J.D.
        • Siewers A.E.
        • Finlayson E.V.
        • et al.
        Hospital volume and surgical mortality in the United States.
        N Engl J Med. 2002; 346: 1128-1137
        • Janssen-Heijnen M.L.
        • Smulders S.
        • Lemmens V.E.
        • Smeenk F.W.
        • van Geffen H.J.
        • Coebergh J.W.
        Effect of comorbidity on the treatment and prognosis of elderly patients with non-small cell lung cancer.
        Thorax. 2004; 59: 602-607
        • Vulto A.J.
        • Lemmens V.E.
        • Louwman M.W.
        • et al.
        Influence of age and comorbidity on receiving radiotherapy as part of primary treatment for cancer in South Netherlands, 1995 to 2002.
        Cancer. 2006; 106: 2734-2742