Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
1.
Scand J Infect Dis ; 42(6-7): 421-5, 2010 Jul.
Article in English | MEDLINE | ID: mdl-20141491

ABSTRACT

The identification of Propionibacterium acnes in cultures of bone and joint samples is always difficult to interpret because of the ubiquity of this microorganism. The aim of this study was to propose a diagnostic strategy to distinguish infections from contaminations. This was a retrospective analysis of all patient charts of those patients with >or=1 deep samples culture-positive for P. acnes. Every criterion was tested for sensitivity, specificity, and positive likelihood ratio, and then the diagnostic probability of combinations of criteria was calculated. Among 65 patients, 52 (80%) were considered truly infected with P. acnes, a diagnosis based on a multidisciplinary process. The most valuable diagnostic criteria were: >or=2 positive deep samples, peri-operative findings (necrosis, hardware loosening, etc.), and >or=2 surgical procedures. However, no single criterion was sufficient to ascertain the diagnosis. The following combinations of criteria had a diagnostic probability of >90%: >or=2 positive cultures + 1 criterion among: peri-operative findings, local signs of infection, >or=2 previous operations, orthopaedic devices; 1 positive culture + 3 criteria among: peri-operative findings, local signs of infection, >or=2 previous surgical operations, orthopaedic devices, inflammatory syndrome. The diagnosis of P. acnes osteomyelitis was greatly improved by combining different criteria, allowing differentiation between infection and contamination.


Subject(s)
Gram-Positive Bacterial Infections/microbiology , Osteomyelitis/microbiology , Propionibacterium acnes/isolation & purification , Adolescent , Adult , Aged , Aged, 80 and over , Female , Gram-Positive Bacterial Infections/diagnosis , Humans , Male , Middle Aged , Osteomyelitis/diagnosis , Retrospective Studies
2.
Am J Infect Control ; 32(7): 384-90, 2004 Nov.
Article in English | MEDLINE | ID: mdl-15525912

ABSTRACT

BACKGROUND: Implementation of a hand hygiene promotion program in a large university hospital required that we find a suitable method to assess health care workers' (HCWs) hand hygiene practices. This study aims at comparing direct observation and self-assessment methods. METHODS: Hand hygiene practices of 206 HCWs (physicians, nurses, and nurse assistants) in 25 care units were directly observed by trained auditors for 1 day. A week later, 1050 HCWs filled out a self-assessment questionnaire on their compliance with handwashing indications (participation rate was 83%). RESULTS: Average global self-reported compliance rate (SRR) after patient care was similar to the observed rate (OBR) (74%). According to the type of care, differences between SRR and OBR were nonsignificant, except for change of infusion bag by nurses and nursing care by nurse assistants. Physicians and nurse assistants tended systematically to over evaluate their compliance, whereas nurses tended to under evaluate their compliance with hand hygiene recommendations. CONCLUSIONS: Mean compliance rates were higher than those reported in the literature but varied as a function of patient care activity and occupation of the HCW. A reinforced in-service educational program will be implemented that will target especially physicians and medical students. Self-assessment method, easy to use and inexpensive, gave encouraging results. The development of a broad-based, routine, self-assessment program is underway at Nantes University Hospital, but, before such a program can be implemented, reproducibility of these self-assessment indicators must be further confirmed.


Subject(s)
Cross Infection/prevention & control , Guideline Adherence/statistics & numerical data , Hand Disinfection , Infection Control/methods , Medical Staff, Hospital/standards , Nursing Assistants/standards , Nursing Staff, Hospital/standards , Self-Evaluation Programs , Adult , Female , France , Hospitals, University , Humans , Infection Control/standards , Male , Medical Staff, Hospital/statistics & numerical data , Nursing Assistants/statistics & numerical data , Nursing Staff, Hospital/statistics & numerical data , Observation , Quality Indicators, Health Care , Risk Factors , Self-Assessment , Surveys and Questionnaires
SELECTION OF CITATIONS
SEARCH DETAIL
...