Erratum: Weekly variation in health-care quality by day and time of admission: a nationwide, registry-based, prospective cohort study of acute stroke care (The Lancet (2016) 388(10040) (170–177) (S0140673616304433) (10.1016/S0140-6736(16)30443-3));Weekly variation in health-care quality by day and time of admission: a nationwide, registry-based, prospective cohort study of acute stroke care

The Lancet

Volumn 388, Issue 10040, 2016, Pages 170-177

  Bray, Benjamin D ^a   Cloud, Geoffrey C ^b   James, Martin A ^c   Hemingway, Harry ^a   Paley, Lizz ^e   Stewart, Kevin ^d   Tyrrell, Pippa J ^f   Wolfe, Charles D A ^g   Rudd, Anthony G ^g  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b ST GEORGE'S UNIVERSITY HOSPITALS NHS FOUNDATION TRUST   (United Kingdom)

^c ROYAL DEVON AND EXETER NHS FOUNDATION TRUST   (United Kingdom)

^d Clinical Standards Department Clinical Effectiveness and Evaluation Unit (CEEU)   (United Kingdom)

^e ROYAL COLLEGE OF PHYSICIANS   (United Kingdom)

^f UNIVERSITY OF MANCHESTER   (United Kingdom)

^g KING'S COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ARTICLE; BLOOD CLOT LYSIS; BRAIN HEMORRHAGE; BRAIN ISCHEMIA; BRAIN SCINTISCANNING; CEREBROVASCULAR ACCIDENT; CIRCADIAN RHYTHM; CLINICAL ASSESSMENT; COHORT ANALYSIS; DYSPHAGIA; ENGLAND; FEMALE; HEALTH CARE QUALITY; HOSPITAL ADMISSION; HUMAN; MAJOR CLINICAL STUDY; MALE; OCCUPATIONAL THERAPY; OUTCOME ASSESSMENT; PHYSIOTHERAPY; PRIORITY JOURNAL; PROSPECTIVE STUDY; RISK ASSESSMENT; SPEECH DISORDER; SURVIVAL; TIME; WALES; BRAIN; DEGLUTITION DISORDERS; FIBRINOLYTIC THERAPY; HEALTH CARE DISPARITY; HOSPITALIZATION; MASS SCREENING; MEDICAL AUDIT; MORTALITY; PATHOLOGY; RADIOGRAPHY; REGISTER; STATISTICS AND NUMERICAL DATA; STROKE; SURVIVAL RATE; TIME FACTOR; VERY ELDERLY;

AGED; AGED, 80 AND OVER; BRAIN; COHORT STUDIES; DEGLUTITION DISORDERS; ENGLAND; FEMALE; HEALTHCARE DISPARITIES; HOSPITALIZATION; HUMANS; MALE; MASS SCREENING; MEDICAL AUDIT; OCCUPATIONAL THERAPY; PHYSICAL THERAPY MODALITIES; PROSPECTIVE STUDIES; QUALITY OF HEALTH CARE; REGISTRIES; SPEECH-LANGUAGE PATHOLOGY; STROKE; SURVIVAL RATE; THROMBOLYTIC THERAPY; TIME FACTORS; WALES;

EID: 84969919858     PISSN: 01406736     EISSN: 1474547X     Source Type: Journal    
DOI: 10.1016/S0140-6736(16)30595-5     Document Type: Erratum

References (29)

1. 1 Aylin, P, Making sense of the evidence for the “weekend effect”. BMJ, 351, 2015, h4652.
2. 2 Bell, CM, Redelmeier, DA, Mortality among patients admitted to hospitals on weekends as compared with weekdays. N Engl J Med 345 (2001), 663–668.
3. 3 Sorita, A, Ahmed, A, Starr, SR, et al. Off-hour presentation and outcomes in patients with acute myocardial infarction: systematic review and meta-analysis. BMJ, 348, 2014, f7393.
4. 4 Ruiz, M, Bottle, A, Aylin, PP, The Global Comparators project: international comparison of 30-day in-hospital mortality by day of the week. BMJ Qual Saf 24 (2015), 492–504.
5. 5 NHS England. Everyone counts: planning for patients 2013/14. https://www.england.nhs.uk/wp-content/uploads/2013/12/5yr-strat-plann-guid.pdf, Dec 20, 2013 (accessed Oct 20, 2015).
6. 6 Lilford, RJ, Chen, YF, The ubiquitous weekend effect: moving past proving it exists to clarifying what causes it. BMJ Qual Saf 24 (2015), 480–482.
7. 7 Lozano, R, Naghavi, M, Foreman, K, et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380 (2012), 2095–2128.
8. 8 Murray, CJ, Vos, T, Lozano, R, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380 (2012), 2197–2223.
9. 9 Intercollegiate Stroke Working Party. National clinical guideline for stroke, 4th edn., 2012, Royal College of Physicians, London.
10. 10 Guo, G, Zhao, H, Multilevel modeling for binary data. Ann Rev Sociol 26 (2000), 441–462.
11. 11 van Swieten, JC, Koudstaal, PJ, Visser, MC, Schouten, HJ, van Gijn, J, Interobserver agreement for the assessment of handicap in stroke patients. Stroke 19 (1988), 604–607.
12. 12 Muller, CJ, MacLehose, RF, Estimating predicted probabilities from logistic regression: different methods correspond to different target populations. Int J Epidemiol 43 (2014), 962–970.
13. 13 Rubin, DB, Multiple imputation for nonresponse in surveys, 1987, Wiley, New York, NY.
14. 14 Kostis, WJ, Demissie, K, Marcella, SW, Shao, YH, Wilson, AC, Moyera, AE, Weekend versus weekday admission and mortality from myocardial infarction. N Engl J Med 356 (2007), 1099–1109.
15. 15 Van-Hansen, B, Riis, AH, Sorensen, HT, Christiansen, CF, Out-of-hours and weekend admissions to Danish medical departments: admission rates and 30-day mortality for 20 common medical conditions. BMJ Open, 11, 2015, e006731.
16. 16 Coumbe, A, John, R, Kuskowski, M, Agirbasli, M, McFalls, EO, Adabag, S, Variation of mortality after coronary artery bypass surgery in relation to hour, day and month of the procedure. BMC Cardiovasc Dis, 11, 2011, 63.
17. 17 Magid, DJ, Wang, Y, Herrin, J, et al. Relationship between time of day, day of week, timeliness of reperfusion, and in-hospital mortality for patients with acute ST-segment elevation myocardial infarction. JAMA 294 (2005), 803–812.
18. 18 Turner, N, Barber, M, Dodds, H, Dennis, M, Langhorne, P, Macleod, MJ, Stroke patients admitted within normal working hours are more likely to achieve process standards and to have better outcomes. J Neurol Neurosurg Psychiatry, 2015 published online Aug 18. DOI:10.1136/jnnp-2015-311273.
19. 19 Fang, J, Saposnik, G, Silver, FL, Kapral, MK, Investigators of the Registry of the Canadian Stroke Network. Association between weekend hospital presentation and fatality. Neurology 75 (2010), 1589–1596.
20. 20 Albright, KC, Savitz, SI, Raman, R, et al. Comprehensive stroke centers and the ‘weekend effect’: the SPOTRIAS experience. Cerebrovasc Dis 34 (2012), 424–429.
21. 21 McKinney, JS, Deng, Y, Kasner, SE, Kostis, JB, MIDAS 15 Study Group. Comprehensive stroke centers overcome the weekend versus weekday gap in stroke treatment and mortality. Stroke 42 (2011), 2403–2409.
22. 22 Bray, BD, Ayis, S, Campbell, J, et al. Associations between stroke mortality and weekend working by stroke specialist physicians and registered nurses: prospective multicentre cohort study. PLoS Med, 11, 2014, e1001705.
23. 23 Coiera, E, Wang, Y, Magrabi, F, Concha, OP, Gallego, B, Runciman, W, Predicting the cumulative risk of death during hospitalization by modelling weekend, weekday and diurnal mortality risks. BMC Health Serv Res, 14, 2014, 226.
24. 24 Concha, OP, Gallego, B, Hillman, K, Delaney, GP, Coiera, E, Do variations in hospital mortality patterns after weekend admission reflect reduced quality of care or different patient cohorts? A population-based study. BMJ Qual Saf 23 (2014), 215–222.
25. 25 Lyndon, A, Lee, HC, Gay, C, Gilbert, WM, Gould, JB, Lee, KA, Effect of time of birth on maternal morbidity during childbirth hospitalization in California. Am J Obstet Gynecol 213 (2015), 705.e1–705.e11.
26. 26 Fonarow, GC, Pan, W, Saver, JL, et al. Comparison of 30-day mortality models for profiling hospital performance in acute ischemic stroke with vs without adjustment for stroke severity. JAMA 308 (2012), 257–264.
27. 27 Meacock, R, Doran, T, Sutton, M, What are the costs and benefits of providing comprehensive seven-day services for emergency hospital admissions?. Health Econ 24 (2015), 907–912.
28. 28 Emberson, J, Lees, KR, Lyden, P, et al., Stroke Thrombolysis Trialists' Collaborative Group. Effect of treatment delay, age, and stroke severity on the effects of intravenous thrombolysis with alteplase for acute ischaemic stroke: a meta-analysis of individual patient data from randomised trials. Lancet 384 (2014), 1929–1935.
29. 29 Stroke Unit Trialists' Collaboration. Organised inpatient (stroke unit) care for stroke. Cochrane Database Syst Rev, 4, 2007 CD000197.