Validation of an Integrated Management of Childhood Illness algorithm for managing common skin conditions in Fiji.
Objective To assess the sensitivity of an Integrated Management of Childhood Illness (IMCI) algorithm to detect common skin conditions in children in Fiji. Methods We collected data from the assessments of children aged between 2 months and 5 years who presented to one of two health clinics. Every c...
| Publicado en: | Bulletin of the World Health Organization Vol. 87; no. 3; pp. 173 - 180 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
World Health Organization
Mar2009
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105483479&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105483479 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00429686 BUW jtl: Bulletin of the World Health Organization issn: 00429686 maglogo: N pubinfo: dt: Mar2009 vid: 87 iid: 3 pid: 437 pub: World Health Organization artinfo: ui: 105483479 105483479 2010229484 10.2471/blt.08.052712 NLM19377712 105483479 ppf: 173 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Validation of an Integrated Management of Childhood Illness algorithm for managing common skin conditions in Fiji. aug: au: Steer AC Tikoduadua LV Manalac EM Colquhoun S Carapetis JR Maclennan C affil: Centre for International Child Health, University of Melbourne, Vic., 3052, Australia. sug: subj: Instrument Validation Pediatric Care Standards Skin Diseases Diagnosis Child, Preschool Confidence Intervals Data Analysis Software Data Analysis, Statistical Descriptive Statistics Female Funding Source Infant kappa Statistic Male Melanesia Pediatric Nursing Pediatricians Sensitivity and Specificity Skin Diseases Symptoms Validation Studies Human Child, Preschool: 2-5 years Infant: 1-23 months Female Male ab: Objective To assess the sensitivity of an Integrated Management of Childhood Illness (IMCI) algorithm to detect common skin conditions in children in Fiji. Methods We collected data from the assessments of children aged between 2 months and 5 years who presented to one of two health clinics. Every child was assessed by a nurse trained in the use of the IMCI algorithm and also an expert paediatrician. We used a kappa statistic to measure agreement between the nurse/algorithm assessment method and the paediatrician's diagnosis. Findings High sensitivity for identifying skin problems (sensitivity: 98.7%; 95% confidence interval, CI: 95.5--99.9) was found for the algorithm applied by IMCI-trained nurses, who were able to identify the one child with a severe skin infection and all three children with periorbital cellulitis. Sensitivity was high for the classification of abscess/cellulitis (sensitivity: 95%; 95% CI: 75.1--99.9) and infected scabies (sensitivity: 89.1%; 95% CI: 77.8--95.9), but lower for identification of impetigo, fungal infection and, in particular, non-infected scabies. Conclusion The IMCI skin algorithm is a robust tool that should be incorporated into the IMCI after some modifications relating to scabies and impetigo. Its use by primary health-care workers will reduce the burden of skin diseases in children in Fiji through improved case identification and management. The algorithm should be considered in other countries where skin diseases in children are a priority, particularly in the Pacific region. Copyright © 2009 World Health Organization pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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