期刊论文详细信息
BMC Clinical Pharmacology
Prevalence and predictors of prior antibacterial use among patients presenting to hospitals in Northern Uganda
Celestino Obua1  Jasper Ogwal-Okeng4  Esther Atukwase5  Hannington Baluku3  Yukari C. Manabe2  Moses Ocan1 
[1] Department of Pharmacology & Therapeutics, Makerere University, Kampala, Uganda;Division of Infectious Diseases Department of Medicine, Johns Hopkins School of Medicine, Baltimore, USA;Department of Clinical Microbiology, Makerere University, Kampala, Uganda;Faculty of medicine, Gulu University, Gulu, Uganda;Mild may Uganda, Kampala, Uganda
关键词: Northern Uganda;    Self-medication;    Self-report;    Urine antibacterial bioassay;    Antibacterial;   
Others  :  1228273
DOI  :  10.1186/s40360-015-0027-8
 received in 2015-05-20, accepted in 2015-09-22,  发布年份 2015
PDF
【 摘 要 】

Background

Human antibacterial exposure occur in different ways including consumption of animal and agricultural products as well as use of prescribed and non-prescribed agents. We estimated the prevalence and explored the predictors of antibacterial use among patients presenting to hospitals in northern Uganda.

Methods

Four hundred fifty (450) patients were randomly selected and antibacterial use prior to hospital visit measured using a questionnaire and urine antibacterial activity assay. Urine antibacterial bioassays were performed using American type culture collections of Escherichia coli, Bacillus subtilis and Streptococcus pyogenes. Data were analysed using STATA 12.0 at 95 % confidence level.

Results

Of 450 patients interviewed, 62.2 % had used antibacterial agents. Urine antibacterial activity was detected in 30.4 % of the samples tested. Of the 85 patients who reported not taking any antibacterial at home, 16 (18.8 %) had urine with antibacterial activity. Most test bacteria, E. coli (74.5 %), B. subtilis (72.6 %) and S. pyogens (86.7 %) were sensitive to urine of patients who reported using antibacterial drugs before hospital visit. From the interview, metronidazole 15.6 % (70/450), amoxicillin 12 % (54/450), and ciprofloxacin 10.4 % (47/450) were the most used antibacterial agents. Patient age (OR, 2.45: 95 % CI: 1.02–5.91: P = 0.024), time-lag between last drug intake and hospital visit (OR: 3.18: 95 % CI: 1.44–7.0: P < 0.0001), and time-lag between illness onset and hospital visit (OR: 1.89: 95 % CI: 0.38–5.1: P = 0.027) predicted the use of antibacterial agents before hospital visit.

Discussion

Community antibacterial use continues to take place in an unregulated manner. In addition, physiciansrarely seek to ascertain prior use of antibacterial agents among patients presenting to hospitals. This couldhave a bearing on patient treatment outcomes.

Conclusion

Knowledge of prior antibacterial use among patients presenting to hospitals is useful to physicians in ensuring antibacterial stewardship.

【 授权许可】

   
2015 Ocan et al.

【 预 览 】
附件列表
Files Size Format View
20151014010532253.pdf 746KB PDF download
Fig. 1. 64KB Image download
【 图 表 】

Fig. 1.

【 参考文献 】
  • [1]Van Boeckel TP, Gandra S, Ashok A, Caudron Q, Grenfell BT, Levin SA, et al. Global antibiotic consumption 2000–2010: an analysis of national pharmaceutical sales data. Lancet Infect Dis. 2014.
  • [2]Okeke IN, Lamikanra A, Edelman R. Socioeconomic and behavioural factors leading to acquired bacterial resistance to antibiotics in developing countries. Emerg Infect Dis. 1999; 5:18-27.
  • [3]Laxminarayan R, Heymann DL. Challenges of drug resistance in the developing world. BMJ. 2012; 344: Article ID e1567
  • [4]Morgan DJ, Okeke IN, Laxminarayan R, Perencevich EN, Weisenberg S. Non-prescription antimicrobial use worldwide: a systematic review. Lancet Infect Dis. 2011; 11(9):692-701.
  • [5]Austin DJ, Kristinsson KG, Anderson RM. The relationship between the volume of antimicrobial consumption in human communities and the frequency of resistance. Proc Natl Acad Sci U S A. 1999; 96:1152-1156.
  • [6]Hillier S, Roberts Z, Dunstan F, Butler C, Howard A, Palmer S. Prior antibiotics and risk of antibiotic-resistant community-acquired urinary tract infection: a case–control study. J Antimicrob Chemother. 2007; 60(1):92-99.
  • [7]McCaiq LF, Hughes JM. Trends in antimicrobial drugs prescribing among office-based physicians in the United States. JAMA. 1973; 1995:214-219.
  • [8]Lansang MA, Lucas-Aquino R, Tupasi TE, Mina VS, Salazar LS, Juban N et al.. Purchase of antibiotics without prescription in Manila, The Philipines, Inappropriate choices and doses. J Clin Epidemiol. 1990; 43:61-67.
  • [9]Dua V, White L, Kunin CM. The use of antimicrobial drugs in Naqpur, India. A window on medical care in a developing country. Soc Sci Med. 1994; 38:717-724.
  • [10]Ansah P-J. Can we trust measures of healthcare utilization from household surveys? BMC Public Health. 2013;13.
  • [11]Khennavong M, Davone V, Vongsouvath M. Urine antibiotic activity in patients presenting to hospitals in Laos: implications for worsening antibiotic resistance. AmJTrop Med Hyg. 2011; 85:295-302.
  • [12]Liu YC, Huang WK, Huang TS. Extent of antibiotic use in Taiwan shown by antimicrobial activity in urine. Lancet. 1999; 354:1360.
  • [13]Antibiotic assays in clinical microbiology susceptibility testing. Church chill Livingstone, Edinqburg; 1978.
  • [14]Performance standards for antimicrobial susceptibility testing. 2nd ed. Wayne, PA; 2012.
  • [15]Freeman CD, Klutman NE, Lamp KC. Metronidazole. A therapeutic review and update. Drugs. 1997; 54:679-708.
  • [16]Murdoch DR, Woods CW, Zimmerman MD. The etiology of febrile illness in adults presenting to Patan hospital in Kathmadu, Nepal. AmJTrop Med Hyg. 2004; 70:670-675.
  • [17]Radyowijati A, Haak H. Improving antibiotic use in low-income countries: an overview of evidence on determinants. Soc Sci Med. 2003; 57:733-744.
  • [18]Ocan M, Bwanga F, Bbosa GS, Bagenda D, Waako P, Ogwal-Okeng J et al.. Patterns and Predictors of self-medication in Northern Uganda. PLoS ONE. 2014; 9(3): Article ID e92323
  • [19]Michalova E, Novotna P, Schlegelova J. Tetracyclines in veterinary medicine and bacterial resistance to them. J Vet Med-Czech. 2004; 49:79-100.
  • [20]Kunin CM. Resistance to antimicrobial drugs- a worldwide calamity. J Ann Intern Med. 1993; 118(7):557-561.
  • [21]Durrheim DN, Frieremans S, Kruger P. Confidential inquiry into malaria deaths. Bull World Health Organ. 1999; 77:263-266.
  • [22]Liu YC, Huang WK, Huang TS. Inappropriate use of antibiotics and the risk for delayed admission and masked diagnosis of inffectious diseases. Arch Intern Med. 2001; 161:2366-2370.
  • [23]Okeke IN, Klugman KP, Bhutta ZA. Antimicrobial resistance in developing countries. Part II: strategies for containment. Lancet Infect Dis. 2005; 5:568-580.
  • [24]Ahmed SA, Chowdhury N, Bhuiya A. Gender, Socio-economic development and health seeking behavior in Bangladesh. Soc Sci Med. 2000; 51(3):361-371.
  • [25]Widayati A, Suryawati S, Charlottee C, Hiller J. Self-medication with antibiotics in Yogyakarta City Indonesia: A cross-sectional population-based survey. BMC Research Notes. 2011; 4:491. BioMed Central Full Text
  • [26]Chowdhury N, Matin F, Chowdhury SKFUA. Medication taking behavior of students attending a private university in Bangladesh. Int J Adolesc Med Health. 2009; 21(3):361-370.
  • [27]Batty GM, Oborne CA, Swift CG. The use of over-the-counter medication by elderly medical in-patients. Postgrad Med J. 1997; 73:720-722.
  • [28]Caudron JM, Ford N, Henkens M, Mace C, Kiddle-Monroe R, Pinel J. Substandard medicines in resource-poor settings: a problem that can no longer be ignored. J Tropical Med Int Health. 2008; 13(8):1062-1072.
  • [29]Das J, Hammer J, Sanchez-Paramo C. The Impact of recall periods on reported morbidity and health seeking behavior. J Dev Econ. 2012; 98:76-88.
  • [30]Akello-Ayebare G, Richters JM, Polderman AM, Visser LG. Healthcare-seeking strategies among displaced children in war ridden northern Uganda: the case of malaria. Ann Trop Med Parasitol. 2010; 104(5):369-379.
  文献评价指标  
  下载次数:11次 浏览次数:15次