209
Views
3
CrossRef citations to date
0
Altmetric
Articles

How to assess the impact of process improvement interventions with routinely collected longitudinal hospital data

ORCID Icon, ORCID Icon, & ORCID Icon

References

  • Altman, D. G. (1980) Statistics and ethics in medical research: III. How large a sample? Br Med J. 281, 1336–7.
  • Cendán, J. C., and Good, M. (2006) Interdisciplinary work flow assessment and redesign decreases operating room turnover time and allows for additional caseload. Arch Surg 141(1), 65–9; discussion 70. http://www.ncbi.nlm.nih.gov/pubmed/16415413
  • Dexter, F., and Epstein, R. H. (2013) Increased mean time from end of surgery to operating room exit in a historical cohort of cases with prolonged time to extubation. Anesth Analg 117(6), 1453–9. http://www.ncbi.nlm.nih.gov/pubmed/24257395
  • Dexter, F., Epstein, R. H., Marcon, E., and de Matta, R. (2005) Strategies to reduce delays in admission into a postanesthesia care unit from operating rooms. J. Perianesth. Nurs 20(2), 92–102. http://www.ncbi.nlm.nih.gov/pubmed/15806526
  • Eriksson, C. O., Stoner, R. C., Eden, K. B., Newgard, C. D., and Guise, J.-M. (2016) The association between hospital capacity strain and inpatient outcomes in highly developed countries: A systematic review. J Gen Intern Med. 32(6), 686–96.
  • Kane, E. M., Scheulen, J. J., Püttgen, A., Martinez, D., Levin, S., Bush, B. A., et al. (2019) Use of systems engineering to design a hospital command center. The Joint Commission Journal on Quality and Patient Safety. 45(5), 370–9.
  • Martinez, D. A., Kane, E. M., Jalalpour, M., Scheulen, J., Rupani, H., Toteja, R., et al. (2018) An electronic dashboard to monitor patient flow at the Johns Hopkins Hospital: Communication of key performance indicators using the Donabedian model. J Med Syst 42(8), 133. http://www.ncbi.nlm.nih.gov/pubmed/29915933
  • Savin, N., and White, K. J. (1977) The Durbin-Watson test for serial autocorrelation with extreme sample sizes or many regressors. Econometrica 45(8), 1989–96.
  • Zhang, F., Wagner, A. K., and Ross-Degnan, D. (2011) Simulation-based power calculation for designing interrupted time series analyses of health policy interventions. J Clin Epidemiol. 64(11), 1252–61.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.