The use of segmented regression in analysing interrupted time series studies: An example in pre-hospital ambulance care

Implementation Science

Volumn 9, Issue 1, 2014, Pages

  Taljaard, Monica ^a,b   McKenzie, Joanne E ^c   Ramsay, Craig R ^d   Grimshaw, Jeremy M ^a,e  

^a OTTAWA HOSPITAL RESEARCH INSTITUTE   (Canada)

^b UNIVERSITY OF OTTAWA   (Canada)

^c MONASH UNIVERSITY   (Australia)

^d UNIVERSITY OF ABERDEEN   (United Kingdom)

^e UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Interrupted time series design; Quality improvement collaborative; Segmented regression analysis

Indexed keywords

AMBULANCE; CEREBROVASCULAR ACCIDENT; COOPERATION; EDITORIAL; EMERGENCY HEALTH SERVICE; HEALTH CARE QUALITY; HEART INFARCTION; HUMAN; METHODOLOGY; ORGANIZATION AND MANAGEMENT; REGRESSION ANALYSIS; STATISTICAL ANALYSIS;

AMBULANCES; COOPERATIVE BEHAVIOR; DATA INTERPRETATION, STATISTICAL; EMERGENCY MEDICAL SERVICES; HUMANS; MYOCARDIAL INFARCTION; QUALITY OF HEALTH CARE; REGRESSION ANALYSIS; RESEARCH DESIGN; STROKE;

EID: 84902740971     PISSN: None     EISSN: 17485908     Source Type: Journal    
DOI: 10.1186/1748-5908-9-77     Document Type: Article

References (11)

1. Shadish WR, Cook TD, Campbell DT. Experimental and Quasi-Experimental Designs for Generalized Causal Inference 2002, Boston: Houghton Mifflin.
2. Wagner AK, Soumerai SB, Zhang F, Ross-Degnan D. Segmented regression analysis of interrupted time series studies in medication use research. J Clin Pharm Ther 2002, 27(4):299-309. 10.1046/j.1365-2710.2002.00430.x, 12174032.
3. Gebski V, Ellingson K, Edwards J, Jernigan J, Kleinbaum D. Modelling interrupted time series to evaluate prevention and control of infection in healthcare. Epidemiol Infect 2012, 140(12):2131-2141. 10.1017/S0950268812000179, 22335933.
4. Penfold RB, Zhang F. Use of interrupted time series analysis in evaluating health care quality improvements. Academic Pediatrics 2013, 13:S38-S44. 10.1016/j.acap.2013.08.002, 24268083.
5. Ramsay CR, Matowe L, Grilli R, Grimshaw JM, Thomas RE. Interrupted time series designs in health technology assessment: lessons from two systematic reviews of behavior change strategies. Int J Tech Assess Health Care 2003, 19(4):613-623.
6. Ansari F, Gray K, Nathwani D, Phillips G, Ogston S, Ramsay C, Davey P. Outcomes of an intervention to improve hospital antibiotic prescribing: interrupted time series with segmented regression analysis. J. Antimicrob. Chemother 2003, 52(5):842-848. 10.1093/jac/dkg459, 14563900.
7. Foy R, Ramsay CR, Grimshaw JM, Penney GC, Vale L, Thomson A, Greer IA. The impact of guidelines on mild hypertension in pregnancy: time series analysis. BJOG 2004, 111(8):765-770. 10.1111/j.1471-0528.2004.00212.x, 15270921.
8. Siriwardena AN, Shaw D, Essam N, Togher FJ, Davy Z, Spaight A, Dewey M, . ASCQI Core Group The effect of a national quality improvement collaborative on prehospital care for acute myocardial infarction and stroke in England. Implement Sci 2014, 9(1):17. 10.1186/1748-5908-9-17, 3904412, 24456654, ASCQI Core Group.
9. Implementation Science, Additional files http://www.implementationscience.com/content/9/1/17/additional.
10. Serumaga B, Ross-Degnan D, Avery AJ, Elliott RA, Majumdar SR, Zhang F, Soumerai SB. Effect of pay for performance on the management and outcomes of hypertension in the United Kingdom: interrupted time series study. BMJ 2011, 342:d108. 10.1136/bmj.d108, 3026849, 21266440.
11. Normand SL. Tutorial in biostatistics: Meta-analysis: formulating, evaluating, combining, and reporting. Stat Med 1999, 18(3):321-359. 10.1002/(SICI)1097-0258(19990215)18:3<321::AID-SIM28>3.0.CO;2-P, 10070677.