Literature DB >> 22036627

Post-discharge follow-up of hospital-associated infections in paediatric patients with conventional questionnaires and electronic surveillance.

S Kinnula1, M Renko, T Tapiainen, T Pokka, M Uhari.   

Abstract

BACKGROUND: Viral infections are common causes of hospital-associated infections (HAIs) in paediatric patients, with most of these infections only becoming evident after discharge. AIM: To analyse the benefits and costs of conventional and electronic surveillance methods for conducting HAI follow-ups.
METHODS: A comparison was made between response rate, time required per patient and costs to the healthcare system of conventional and electronic surveillance methods (sms, e-mail, telephone call).
FINDINGS: Altogether 1927 patients participated in the conventional followed up in 2001-2003, of whom 1175 (61%) returned the questionnaire; during the electronic surveillance period in 2005-2007, 2309 patients were followed-up in hospital, and 1940 of them (84%) returned the post-discharge information to us. The time needed by HCWs was 33 min per patient in the conventional follow-up and 13 min in the electronic follow-up, the total costs per patient being €15.07 and €13.61 respectively. A decrease of 17.1% in annual expenses was achieved with the electronic follow-up. The incidence of HAI was 8.4% in the conventional period and 12.2% in the electronic surveillance period, most cases becoming symptomatic after hospitalization.
CONCLUSION: Electronic data collection was a convenient way of implementing a continuous HAI follow-up, achieving both a higher participation rate and lower costs.
Copyright © 2011 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22036627     DOI: 10.1016/j.jhin.2011.09.005

Source DB:  PubMed          Journal:  J Hosp Infect        ISSN: 0195-6701            Impact factor:   3.926


  4 in total

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Review 2.  Electronic case report forms and electronic data capture within clinical trials and pharmacoepidemiology.

Authors:  David A Rorie; Robert W V Flynn; Kerr Grieve; Alexander Doney; Isla Mackenzie; Thomas M MacDonald; Amy Rogers
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3.  Age Significantly Affects Response Rate to Outcomes Questionnaires Using Mobile Messaging Software.

Authors:  Toufic R Jildeh; Joshua P Castle; Muhammad J Abbas; Miriam E Dash; Noel O Akioyamen; Kelechi R Okoroha
Journal:  Arthrosc Sports Med Rehabil       Date:  2021-08-05

4.  Mobile electronic versus paper case report forms in clinical trials: a randomized controlled trial.

Authors:  Robert Fleischmann; Anne-Marie Decker; Antje Kraft; Knut Mai; Sein Schmidt
Journal:  BMC Med Res Methodol       Date:  2017-12-01       Impact factor: 4.615

  4 in total

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