Open Access
Int. J. Metrol. Qual. Eng.
Volume 9, 2018
Article Number 5
Number of page(s) 21
Published online 18 May 2018
  1. I. Lazarus, C. Neely, Six sigma raising the bar, Manag. Healthc Exec. 13, 31–33 (2003) [Google Scholar]
  2. Department of Health, Organisation with a Memory: Report of an Expert Group on Learning from Adverse Events in the NHS chaired by the Chief Medical Officer, The Stationery Office, London, (2001) [Google Scholar]
  3. F. Milligan, K. Robinson Limiting Harm in Future Health Care − the Role of Nursing: A Nursing Perspective, (Blackwell Publishing, Oxford, 2003) pp. 255–273 [Google Scholar]
  4. J. Arthur, Lean six sigma for hospitals, Improving patient safety, patient flow and the bottom line, Second edition (McGraw-Hill Education, 2016) pp.xvii–xviii [Google Scholar]
  5. L.J. Finison, K.S. Finison, C.M. Bliersbacl, Use of control chart to improve healthcare quality, J. Healthc. Qual. 15, 9–23 (1993) [CrossRef] [PubMed] [Google Scholar]
  6. L.J. Finison, K.S. Finison, Applying control chart for quality improvement, J. Healthc. Qual. 18, 32–41 (1996) [Google Scholar]
  7. J.C. Benneyan, Statistical quality control methods in infection control and hospital epidemiology, part II: chart use, statistical properties, and research issues, Infect. Control Hosp. Epidemiol. 19, 265–282 (1998) [CrossRef] [PubMed] [Google Scholar]
  8. B.L. Maccarthy, T. Wasusri, A review of nonstandard application of statistical process control (SPC) charts, Int. J. Qual. Reliab. Manag. 19, 295–320 (2002) [CrossRef] [Google Scholar]
  9. F. Clemente, M. Papi, L. Pontecorvi, A. Menichetti, Evaluation of indices for the measurement of quality in health systems, Int. J. Metrol. Qual. Eng. 7, 1–14 (2016) [CrossRef] [EDP Sciences] [Google Scholar]
  10. X. Ning, Y. Shang, F. Tsung, Statistical process control for service processes: A review, 6th International conference on Service Systems and Service Management, pp. 927–931 (2009) [Google Scholar]
  11. F.C. Kaminsky, J. Maleyeff, D.L. Mullins, Using SPC to analyse measurements in healthcare orgainsations, J. Healthc. Risk Manag. 18, 36–46 (1998) [CrossRef] [PubMed] [Google Scholar]
  12. S.G. Amin, Control chart 101: A guide to healthcare applications, Qual. Manag. Healthc. 9, 1–27 (2001) [Google Scholar]
  13. J. Thor, J. Lundberg, J. Ask, J. Olsson, C. Carli, K.P. Harenstam, M. Brommels, Application of statistical process control in healthcare improvement: systematic review, Qual Saf Healthc. 16, 387–399 (2007) [CrossRef] [Google Scholar]
  14. A. Koetsier, S.N.V. Veer, K.J. Jager, N. Peek, N.F. De Keizer, Control chart for healthcare quality improvement: A systematic review on adherence to methodological criteria, Methods Inf. Med. 51, 189–198 (2012) [Google Scholar]
  15. D. Laney, Improved control charts for attributes, Qual. Eng. 14, 531–537 (2002) [Google Scholar]
  16. M.A. Mohammed, D. Laney, Overdispersion in health care performance data: Laney's approach, Qual Saf. Healthc. 15, 383–384 (2006) [CrossRef] [Google Scholar]
  17. D.R. Prajapati, Cost comparisons of modified chart for autocorrelated observations, Int. J. Metrol. Qual. Eng. 7, 102-p1–102-p9 (2016a) [CrossRef] [EDP Sciences] [Google Scholar]
  18. W.H. Woodall, The use of control chart in healthcare and public health surveillance, J. Qual. Technol. 38, 89–104 (2006) [CrossRef] [Google Scholar]
  19. M. Pillet, A. Boukar, E. Pairel, B. Rizzon, N. Boudaoud, Z. Cherfi, Multivariate SPC for total inertial tolerancing, Int. J. Metrol. Qual Eng. 4, 169–175 (2013) [CrossRef] [EDP Sciences] [Google Scholar]
  20. M.E. Seddon, M.N Marshall, S.M. Campbell, M.O. Roland, Systematic review of studies of quality of clinical care in general practice in the UK, Australia and New Zealand, Qual. Healthc. 10, 152–158 (2001) [CrossRef] [Google Scholar]
  21. J.A. Sellick, The use of statistical process control charts in hospital epidemiology, Infect. Control Hosp. Epidemiol. 14, 649–656 (1993) [CrossRef] [PubMed] [Google Scholar]
  22. A.P. Morton, Whitby, M., M.L. Mclaws, A. Dobson, S. Mcelwain, D. Looke, J. Stackelroth, A. Sartor, The application of statistical process control charts to the detection and monitoring of hospital acquired infections, J. Qual. Clin. Prac. 21, 112–117 (2001) [Google Scholar]
  23. F.C. Kaminsky, J. Maleyeff, S. Providence, E. Purinton, M. Waryasz, Using SPC to analyse quality indicators in a healthcare organization, J. Healthc Risk Manag. 17, 14–22 (1997) [CrossRef] [PubMed] [Google Scholar]
  24. C.D. Callahan, D.L. Griffen, Advanced statistics: applying statistical process control techniques to Emergency medicines: A primer for providers, Acad. Emerg. Med. 10, 883–890 (2003) [CrossRef] [PubMed] [Google Scholar]
  25. S. Gilligan, M. Walters, Quality improvement in hospital flow may lead to a reduction in mortality, Clin. Gov.: Int. J. 13, 26–34 (2008) [Google Scholar]
  26. L. Minne, S. Eslami, N.D. Keizer, E.D. Jonge, S.E.D. Rooij, A. Abu-Hanna, Statistical process control for validating a classification tree model for predicting mortality-A novel approach towards temporal validation, J. Biomed. Inf. 45, 37–44 (2012) [CrossRef] [Google Scholar]
  27. J.L. Moran, P.J. Solomon, ANZICS, Statistical process control of mortality series in the Australian and New Zealand intensive care society (ANZICS) adult patient database: implications of data generating process, BMC Med. Res. Methodol. 13, 66–78 (2013) [CrossRef] [PubMed] [Google Scholar]
  28. F. Harrou, Y. Sun, F. Kadri, S. Chaabane, S. Tahon, Early detection of abnormal patient arrivals at hospital Emergency department, 6th International Conference on Industrial Engineering and Systems Management. (2015) [Google Scholar]
  29. C. Pagel, P. Ramnarayan, S. Ray, M.J. Peters, Development and implementation of a real time statistical control method to identify the start and end of winter surge in demand for paediatric intensive care, Eur. J. Oper. Res., 264, 847–858 (2016) [Google Scholar]
  30. J.M. Levett, R.G. Carey, Measuring for improvement: From Toyota to thoracic Surgery, Ann. Thorac. Surg. 68, 353–358 (1999) [Google Scholar]
  31. M.A. Mohammed, Using statistical process control to improve the quality of healthcare, Qual. Saf. Healthc. 13, 243–245 (2004) [CrossRef] [Google Scholar]
  32. A. Duclos, N. Voirin, The p control chart: a tool for care improvement, Int. J. Qual. Healthc., 22, 402–407 (2010) [CrossRef] [Google Scholar]
  33. M.A. Jones, S.H. Steiner, Assessing the effect of estimation error on risk adjusted CUSUM chart performance, Int. J. Qual Healthc. 24, 176–181 (2012) [CrossRef] [Google Scholar]
  34. I.R. Smith, M.A. Gardner, B. Garlick, R.D. Brighouse, J. Cameron, P.S. Lavercombe, K. Mengersen, K.A. Foster, J.T. Rivers, Performance monitoring in cardiac surgery: application of statistical process control to a single site data, Heart Lung Circ. 22, 634–641 (2013) [CrossRef] [PubMed] [Google Scholar]
  35. D.S. Keller, J.J Stulberg, J.K. Lawrence, H. Samia, C.P. Delaney, Initiating statistical process control to improve the quality outcomes in colorectal Surgery, Surg. Endosc. 29 3559–3564 (2015) [CrossRef] [PubMed] [Google Scholar]
  36. P.E. Oguntunde, O.A. Odetunmibi, O.A. Oluwadare, comparative study of the use of statistical process control in monitoring healthcare delivery, Int. J. Innov. Sci. Res. 14, 154–158 (2015) [Google Scholar]
  37. W.H. Woodall, S.L. Fogel, S.H. Steiner, The monitoring and improvement of surgical outcome quality, J. Qual. Technol. 47, 383–400 (2015) [CrossRef] [Google Scholar]
  38. H. Schrem, V. Schneider, M. Kurok, A. Goldis, M. Dreier, A. Kaltenborn, W. Gwinner, M. Barthold, J. Liebeneiner, M. Winny J. Klempnauer, M. Kleine, Independent pre-transplant recipient cancer risk factors after kidney transplantation and the utility of G chart analysis for clinical process control, Plos One 11, 1–17 (2016) [Google Scholar]
  39. C.P. Quesenberry, Statistical process control geometric Q chart for nosocomial infection surveillance, Am. J. Infect. Control 28, 314–320 (2000) [Google Scholar]
  40. T.L. Gustafson, Practical risk adjusted quality control charts for infection control, Am. J. Infect. Control, 28, 406–414 (2000) [Google Scholar]
  41. N. Hanslik, P.Y. Boelle, A. Flahault, The control chart: Epidemiological tool for public health monitoring, Public Health 115, 277–281 (2001) [PubMed] [Google Scholar]
  42. A. Arantes, E.D.S. Carvalho, E.A.S. Medeiros, C.K. Farhat, O.C. Mantese, Use of statistical process control in the epidemiological surveillance of nosocomial infections, Rev. Saúde Pública 37, 768–774 (2003) [CrossRef] [Google Scholar]
  43. P.S. Grant, A.T. Kim, Infection control consultation in a 150 bed acute care hospital: Making this unobserved and unmeasured critical job function visible, Am. J. Infect. Control 35, 401–406 (2007) [Google Scholar]
  44. S.S. Limaye, C.M. Mastrangelo, D.M. Zerr, A case study in monitoring hospital associated infections with count control charts, Qual. Eng. 20, 404–413 (2008) [Google Scholar]
  45. E. Curran, P. Harper, H. Loveday, H. Gilmour, S. Jones, J. Benneyan, J. Hood, R. Pratt, Result of multicentre randomised controlled trial of statistical process control charts and structured diagnostic tools to reduce ward acquired meticillin resistant staphylococcus aureus: the chart project, J. Hosp. Infec 70, 127–135 (2008) [Google Scholar]
  46. S Harbarth, C. Fankhauser, J. Schrenzel, J. Christenson, P. Gervaz, C. Bandiera-Clerc, G. Renzi, N. Vernaz, H. Sax, D. Pittet, Universal screening for methicillin-resistant staphylococcus aureus at hospital admission and nosocomial in infection in surgical patients, Jama 299, 1149–1157 (2008) [CrossRef] [PubMed] [Google Scholar]
  47. T.L. Wiemken, S.P. Furmanek, R.M. Carrico, W.A. Mattingly, A.K. Persaud, B.E. Guinn, R.R. Kelley, J.A. Ramirez, Process control chart in infection prevention: make it simple to make it happen, Am. J. Inf. Control 45, 216–221 (2016) [CrossRef] [Google Scholar]
  48. M. Waterhouse, I. Smith, H. Assareh, K. Mengersen, Implementation of multivariate control charts in a clinical setting, Int. J. Qual. Healthc 22, 408–414 (2010) [CrossRef] [Google Scholar]
  49. T. Sanghangthum, S. Suriyapee, S. Srisatit, T. Pawlicki, Statistical process control analysis for patient-specific imrt and vmat qa, J. radiat. res. 54, 546–552 (2013) [CrossRef] [PubMed] [Google Scholar]
  50. E. Mezzenga, V. D'Errico, A. Sarnelli, L. Strigari, E. Menghi, F. Marcocci, D. Bianchini, M. Benassi, Preliminary retrospective analysis of daily tomotherapy output constancy checks using statistical process control, Plos One 11, 1–12 (2016) [Google Scholar]
  51. T. Fuangrod, P.B. Greer, J. Simpson, B.J. Zwan, R.H. Middleton, A method for evaluating treatment quality using in vivo EPID dosimetry and statistical process control in radiation therapy, Int. J. Healthc Qual. Assur. 30, 90–102 (2017) [CrossRef] [Google Scholar]
  52. R. Lee, K. Kim, S. Cho, S. Lim, Lee S., J.B. Shim, H.D. Huh, S.H. Lee, S. Ahn, Statistical process control analysis for patient quality assurance of intensity modulated radiation therapy. J. korean phys. Soc. 71, 717–721 (2017) [Google Scholar]
  53. F. Correia, R. Neveda, P. Oliveira, Chronic respiratory patient control by multivariate charts, Int. J. Healthc. Qual. Assur. 24, 621–643 (2011) [CrossRef] [Google Scholar]
  54. R. Alsadat, H. Al-Bardan, M.N. Mazloum, A.A. Shamah, M.F.E. Eltayeb, A. Marie, A. Dakkak, O. Naes, F. Esber, I. Betelmal, M. Kherallah, Use of ventilator associated pneumonia bundle and statistical process control chart to decrease VAP rate in Syria, Avicenna J. Med. 2, 79–83 (2012) [CrossRef] [PubMed] [Google Scholar]
  55. P.O. Bonetti, A. Waeckerlin, G. Schuepfer, A. Frutiger, Improving time sensitive processes in the intensive care unit: the example of door to needle time in acute myocardial infraction, Int. J. Qual. Healthc. 12, 311–317 (2000) [CrossRef] [Google Scholar]
  56. M. Coory, S. Duckett, K.S. Baker, Using control charts to monitor quality of hospital care with administrative data, Int. J. Qual. Healthc. 20, 31–39 (2008) [CrossRef] [Google Scholar]
  57. U. Gabbay, M. Bukchin, Does daily nurse staffing match ward workload variability? Three hospital experiences, Int. J. Healthc. Qual. Assu. 22, 625–641 (2009) [CrossRef] [Google Scholar]
  58. C. Canel, S. Mahar, D. Rosen, J. Taylor, Quality control methods at a hospital, Int. J. Healthcare Qual. Assur. 23, 59–71 (2010) [CrossRef] [Google Scholar]
  59. T.W. Chien, M.T. Chou, W.C. Wang, L.S. Tsao, W.S. Lin, Intraclass reliability for assessing how well Taiwan constrained hospital provided medical services using statistical process control chart techniques, BMC Med. Res. Methodol. 12, 67–76 (2012) [CrossRef] [PubMed] [Google Scholar]
  60. A.M. Spiridonica, The use of statistical process control in pharmaceutical industry, Lucrări ştiinţifice. 54, 271–275 (2011) [Google Scholar]
  61. D.R. Prajapati, Correlation level among the observations for a pharmaceutical industry using chart with economics, Int. J. product. qual. manag. 19, 277–300 (2016b) [CrossRef] [Google Scholar]
  62. D.R. Prajapati, S. Singh, Determination of level of correlation for products of pharmaceutical industry by using modified chart, Int. J. qual. reliab. manag. 33, 724–746 (2016) [CrossRef] [Google Scholar]

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