The alertness, gait and mortality of severely ill patients at two months after admission to a resource poor sub-Saharan hospital - Why is post-discharge surveillance not routine everywhere?

European Journal of Internal Medicine

Volumn 28, Issue , 2016, Pages 25-31

  Nabayigga, Barbara ^a   Kellett, John ^b   Opio, Martin Otyek ^c  

^a Medical Wards   (Uganda)

^b Thunder Bay Regional Health Science Center   (Canada)

^c St Joseph's Kitovu Health Care Complex   (Uganda)

Author keywords

Acute medicine; Early warning scores; Frailty; Outcomes; Post discharge surveillance

Indexed keywords

HEMOGLOBIN;

ABDOMINAL DISTENSION; ADULT; AFRICA SOUTH OF THE SAHARA; ALERTNESS; ARTICLE; BLEEDING; BODY TEMPERATURE; BREATHING RATE; COMA; COMATOSE PATIENT; COUGHING; CRITICALLY ILL PATIENT; DIARRHEA; DISEASE SEVERITY; DYSPNEA; EXPLORATORY RESEARCH; FEMALE; FEVER; FOLLOW UP; FUNCTIONAL STATUS; GAIT; GAIT DISORDER; GENERALIZED EDEMA; HEART RATE; HEMOGLOBIN BLOOD LEVEL; HOSPITAL ADMISSION; HOSPITAL DISCHARGE; HUMAN; IMMOBILITY; LENGTH OF STAY; MAJOR CLINICAL STUDY; MALE; MEAN CORPUSCULAR VOLUME; MENTAL CAPACITY; MIDDLE AGED; MORTALITY; MOTOR PERFORMANCE; OXYGEN SATURATION; PAIN; SYSTOLIC BLOOD PRESSURE; UGANDAN; VITAL SIGN; VOMITING; AGED; FRAIL ELDERLY; HEALTH CARE PLANNING; HOSPITALIZATION; PROGNOSIS; SEVERITY OF ILLNESS INDEX; UGANDA; WAKEFULNESS; YOUNG ADULT;

ADULT; AGED; FEMALE; FOLLOW-UP STUDIES; FRAIL ELDERLY; GAIT; HEALTH RESOURCES; HOSPITALIZATION; HUMANS; LENGTH OF STAY; MALE; MIDDLE AGED; MORTALITY; PATIENT DISCHARGE; PROGNOSIS; SEVERITY OF ILLNESS INDEX; UGANDA; WAKEFULNESS; YOUNG ADULT;

EID: 84954305261     PISSN: 09536205     EISSN: 18790828     Source Type: Journal    
DOI: 10.1016/j.ejim.2015.12.011     Document Type: Article

References (34)

1. H.M. Krumholz, H.H. Hines, Z. Lin, and S.-L.T. Normand Measuring hospital clinical outcomes - methods matter BMJ 346 2013 f620
2. H.M. Krumholz, P.S. Keenan, J.E. Brush Jr., V.J. Bufalino, M.E. Chernew, and et al. Standards for measures used for public reporting of efficiency in health care - a scientific statement from the American Heart Association Interdisciplinary Council on Quality of Care and Outcomes Research and the American College of Cardiology Foundation J Am Coll Cardiol 52 2008 1518 1526
3. M.E. Porter What is value in health care? N Engl J Med 363 2010 2477 2481
4. Porter ME, Molander R. Outcomes measurement: learning from international experiences. Institute for Strategy and Competitiveness, Harvard University Working Paper. http://www.hbs.edu/rhc/prior.html.2010.
5. Royal College of Physicians National Early Warning Score (NEWS): standardising the assessment of acute illness severity in the NHS Report of a Working Party 2012 RCP London www.rcplondon.ac.uk/resources/nationalearlywarningscore-news
6. D.R. Prytherch, G.B. Smith, P.E. Schmidt, and et al. ViEWS - towards a national early warning score for detecting adult inpatient deterioration Resuscitation 81 2010 932 937
7. J. Kellett, and A. Kim Validation of an abbreviated VitalpacTM Early Warning Score (ViEWS) in 75,419 consecutive admissions to a Canadian Regional Hospital Resuscitation 83 2012 297 302
8. A.J. Bleyer, S. Vidya, G.B. Russell, and et al. Longitudinal analysis of one million vital signs in patients in an academic medical center Resuscitation 82 11 2011 1387 1392
9. J. Kellett, M. Clifford, A. Ridley, and M. Gleeson Validation of the VitalPAC Early Warning Score (ViEWS) in acutely ill medical patients admitted Ir Med J 106 2013 318
10. D.J. Silcock, A.R. Corfield, P.A. Gowen, and K.D. Rooney Validation of the National Early Warning Score in the prehospital setting Resuscitation 89 2015 31 35
11. N. Alam, I.L. Vegting, E. Houben, B. van Berkel, L. Vaughan, M.H.H. Kramer, and et al. Exploring the performance of the National Early Warning Score (NEWS) in a European emergency department Resuscitation 90 2015 111 115
12. M.O. Opio, G. Nansubuga, and J. Kellett Validation of the VitalPAC™ Early Warning Score (ViEWS) in acutely ill medical patients attending a resource-poor hospital in sub-Saharan Africa Resuscitation 84 2013 743 746
13. I. Wheeler, C. Price, A. Sitch, and et al. Early warning scores generated in developed healthcare settings are not sufficient at predicting early mortality in Blantyre, Malawi: a prospective cohort study PLoS ONE 8 3 2013 e59830 10.1371/journal.pone.0059830
14. M. Brabrand, A.T. Lassen, T. Knudsen, and J. Hallas Seven-day mortality can be predicted in medical patients by blood pressure, age, respiratory rate, loss of independence, and peripheral oxygen saturation (the PARIS Score): a prospective cohort study with external validation PLoS ONE 10 4 2015 e0122480 10.1371/journal.pone.0122480
15. J. Kellett, M. Clifford, A. Ridley, A. Murray, and M. Gleeson A four item scale based on gait for the immediate global assessment of acutely ill medical patients - one look is more than 1000 words Eur Geriatr Med 5 2014 92 96
16. P. Pompei, M.E. Charlson, and R.G. Douglas Jr. Clinical assessments as predictors of one year survival after hospitalization: implications for prognostic stratification J Clin Epidemiol 41 1988 275 284
17. U. Safwenberg, A. Terént, and L. Lind Differences in long-term mortality for different emergency department presenting complaints Acad Emerg Med 15 2008 9 16
18. A. Morandi, P. Pandharipande, M. Trabucchi, R. Rozzini, G. Mistraletti, and et al. Understanding international differences in terminology for delirium and other types of acute brain dysfunction in critically ill patients Intensive Care Med 34 2008 1907 1915
19. G.E. Dallal LOGISTIC: a logistic regression program for the IBM PC Am Stat 42 1988 272
20. J.-S. Yang, H.-J. Nam, M. Seo, S.K. Han, Y. Choi, and et al. OASIS: online application for the survival analysis of lifespan assays performed in aging research PLoS ONE 6 2011 e23525 10.1371/journal.pone.0023525
21. J.A. Hanley, and B.J. McNeil A method of comparing the areas under receiver operating characteristic curves derived from the same cases Radiology 148 1983 839 843
22. J. Rylance, T. Baker, E. Mushi, and et al. Use of an early warning score and ability to walk predicts mortality in medical patients admitted to hospitals in Tanzania Trans R Soc Trop Med Hyg 103 2009 790 794
23. F. Wang, W. Pan, S. Pan, J. Ge, S. Wang, and M. Chen Red cell distribution width as a novel predictor of mortality in ICU patients Ann Med 43 2011 40 46
24. S.W. Purtle, T. Moromizato, C.K. McKane, F.K. Gibbons, and K.B. Christopher The association of red cell distribution width at hospital discharge and out-of-hospital mortality following critical illness Crit Care Med 42 2014 918 929
25. E.W. Hook, C.A. Horton, D.R. Schaberg, and E.W. Hook 3d Failure of intensive care unit support to influence mortality from pneumococcal bacteremia JAMA 249 1983 1055 1057
26. L.I. Zon, C. Arkin, and J.E. Groopman Haematologic manifestations of the human immune deficiency virus (HIV) Br J Haematol 66 2 1987 251
27. B.M.K. Wajanga, L.E. Webster, R.N. Peck, J.A. Downs, K. Mate, L.R. Smart, and et al. Inpatient mortality of HIV-infected adults in sub-Saharan Africa and possible interventions: a mixed methods review BMC Health Serv Res 14 2014 627
28. R.M. Nesse, and G.C. Williams Signs and symptoms of infectious disease - defences based on expulsion R.M. Nesse, G.C. Williams, Why we get sick 1996 Vintage Books New York 36 39
29. Pfuntner A (Truven Health Analytics), Wier LM (Truven Health Analytics), Stocks C (AHRQ). Most frequent conditions in U.S. hospitals, 2011. HCUP Statistical Brief #162. September 2013. Agency for Healthcare Research and Quality, Rockville, MD. http://www.hcup-us.ahrq.gov/reports/statbriefs/sb162.pdf.
30. Duckitt R, Palsson R, Bosanska L, Dagna L, Durusu TM, Vardi M for the CDIME group. Common diagnoses in internal medicine in Europe 2009: a pan-European, multi-centre survey. Eur J Intern Med 2010;21: 449-452
31. J. Kellett, and B. Deane The diagnoses and co-morbidity encountered in the hospital practice of acute internal medicine Eur J Intern Med 18 2007 467 473
32. C. Rao, A.D. Lopez, and Y. Hemed Causes of death D.T. Jamison, R.G. Feachem, M.W. Makgoba, E.R. Bos, F.K. Baingana, K.J. Hofman, K.O. Rogo, Disease and mortality in Sub-Saharan Africa 2006 The World Bank Washington DC 43 58
33. E. Vittinghoff, and C.E. McCulloch Relaxing the rule of ten events per variable in logistic and Cox regression Am J Epidemiol 165 2007 710 718
34. Procedures for handling post-approval studies imposed by PMA Order. U.S. Department of Health and Human Services Food and Drug Administration Center for Devices and Radiological Health Division of Epidemiology - Office of Surveillance and Biometrics http://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/GuidanceDocuments/ucm070974.htm.