Open Access
Review
Issue
Int. J. Metrol. Qual. Eng.
Volume 9, 2018
Article Number 5
Number of page(s) 21
DOI https://doi.org/10.1051/ijmqe/2018003
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) [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) [Google Scholar]
  12. S.G. Amin, Control chart 101: A guide to healthcare applications, Qual. Manag. Healthc. 9, 1–27 (2001) [CrossRef] [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) [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) [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) [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) [CrossRef] [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]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.