A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Prevalence of hospital-acquired infections in a tertiary referral hospital in northern Tanzania. | LitMetric

Prevalence of hospital-acquired infections in a tertiary referral hospital in northern Tanzania.

Ann Trop Med Parasitol

Department of Medical Microbiology, Royal Free and University College London Medical School, Rowland Hill Street, Hampstead NW3 2PF, UK.

Published: January 2003

AI Article Synopsis

  • Hospital-acquired infections (HAIs) are a significant and preventable health issue, with high prevalence rates observed in a study at a tertiary hospital in northern Tanzania, showing an overall prevalence of 14.8%.
  • The highest rates of HAIs were found in the medical intensive-care unit (40%) and surgical wards (36.7%), with certain factors, like longer hospital stays and referrals from other facilities, increasing the risk of contracting HAIs.
  • The study identified urinary-tract infections as the most common HAIs, providing valuable data for improving infection control measures in the hospital setting.

Article Abstract

Hospital-acquired infections (HAI) are a major and largely preventable cause of morbidity and morbidity worldwide. Very few reports on the prevalence of HAI in sub-Saharan Africa have been published and most of those that have appeared in the press have focused on surgical-wound infection. In the present, questionnaire-based, point-prevalence study, in which the doctor on the ward round was used as the primary informant, the prevalences of all HAI among all the inpatients at a tertiary referral hospital in northern Tanzania were estimated. On the day of the study, there were 412 inpatients (in 15 ward areas) and 61 cases of HAI were identified, giving an overall HAI prevalence of 14.8%. The prevalences of HAI were particularly high in the medical intensive-care unit (40%), the surgical (orthopaedic and general surgery) wards (36.7%), and one of the general medical wards (22.2%). Factors associated with a patient having a HAI were hospitalization for >30 days [odds ratio (OR) = 4.07; 95% confidence interval (CI) = 2.07-7.99]; being a patient on the orthopaedic and general surgical ward known as 'Surgical 2' (OR = 2.14; CI = 1.02-4.46); and being referred from another health facility (OR = 1.90; CI = 1.02-3.42). The most commonly identified HAI in the hospital were urinary-tract infections (14 cases), followed by surgical-wound infections (10 cases) and then lower respiratory-tract infections (six cases). Twenty HAI were 'unspecified'. The study was rapid and cheap to carry out. The results not only gave a baseline estimate of HAI in the study setting but also identified key areas for interventions to reduce HAI.

Download full-text PDF

Source
http://dx.doi.org/10.1179/000349803125002724DOI Listing

Publication Analysis

Top Keywords

infections cases
12
hai
11
hospital-acquired infections
8
tertiary referral
8
referral hospital
8
hospital northern
8
northern tanzania
8
prevalences hai
8
identified hai
8
orthopaedic general
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!