Quality improvement
Quality improvement is "the attainment or process of attaining a new level of performance or qualit."[1].
Why quality improvement efforts succeed and fail
Various organizational characteristics, some based on complexity science, may predict why quality improvement projects succeed[2][3][3][4] and fail[5].
Different approaches may be needed depending on the level of certainty in the clinical science behind a quality improvement project.[6]
References
- ↑ Anonymous (2024), Quality improvement (English). Medical Subject Headings. U.S. National Library of Medicine.
- ↑ Leykum LK, Pugh J, Lawrence V, Parchman M, Noël PH, Cornell J; et al. (2007). "Organizational interventions employing principles of complexity science have improved outcomes for patients with Type II diabetes". Implement Sci. 2: 28. doi:10.1186/1748-5908-2-28. PMC 2018702. PMID 17725834.
- ↑ 3.0 3.1 Leykum LK, Parchman M, Pugh J, Lawrence V, Noël PH, McDaniel RR (2010). "The importance of organizational characteristics for improving outcomes in patients with chronic disease: a systematic review of congestive heart failure". Implement Sci. 5: 66. doi:10.1186/1748-5908-5-66. PMC 2936445. PMID 20735859.
- ↑ Lanham HJ, Leykum LK, Taylor BS, McCannon CJ, Lindberg C, Lester RT (2013). "How complexity science can inform scale-up and spread in health care: understanding the role of self-organization in variation across local contexts". Soc Sci Med. 93: 194–202. doi:10.1016/j.socscimed.2012.05.040. PMID 22819737.
- ↑ Arar NH, Noel PH, Leykum L, Zeber JE, Romero R, Parchman ML (2011). "Implementing quality improvement in small, autonomous primary care practices: implications for the patient-centred medical home". Qual Prim Care. 19 (5): 289–300. PMC 3313551. PMID 22186171.
- ↑ Leykum LK, Lanham HJ, Pugh JA, Parchman M, Anderson RA, Crabtree BF; et al. (2014). "Manifestations and implications of uncertainty for improving healthcare systems: an analysis of observational and interventional studies grounded in complexity science". Implement Sci. 9: 165. doi:10.1186/s13012-014-0165-1. PMC 4239371. PMID 25407138.