IDEAS home Printed from https://ideas.repec.org/a/wly/jocnur/v29y2020i9-10p1590-1598.html
   My bibliography  Save this article

Pitfalls in acute febrile illness diagnosis: Interobserver agreement of signs and symptoms during a dengue outbreak

Author

Listed:
  • Sibelle Nogueira Buonora
  • Sonia Regina Lambert Passos
  • Regina Paiva Daumas
  • Matheus Garcia Lago Machado
  • Guilherme Miguéis Berardinelli
  • Diana Neves Rodrigues de Oliveira
  • Raquel de Vasconcellos Carvalhaes de Oliveira

Abstract

Aims and objectives To compare and evaluate interobserver (nurses and physicians) agreement for dengue clinical signs and symptoms, including the World Health Organization diagnostic algorithm. Background Agreement of clinical history defines the capacity of the examiner to measure a given clinical parameter in a reproducible and consistent manner, which is prerequisite for diagnosis validity. Nurses play a major role in the triage and care of dengue patients in many countries. Study design This is a sub‐study on interobserver agreement performed as part of a cross‐sectional diagnostic accuracy study for acute febrile illness (AFI) using the checklist STARD. Methods A previously validated semi‐structured sign and symptom standardised questionnaire for AFI was independently administered to 374 patients by physician and nurse pairs. The interobserver agreement was estimated using kappa statistics. Results For a set of 27 signs and symptoms, we found six interobserver discrepancies (examiner detected red eyes, lethargy, exanthema, dyspnoea, bleeding and myalgia) as identified by regular and moderate kappa indexes. Four signs (patient observed red eyes, cough, diarrhoea and vomiting) and one symptom (earache) had near‐perfect agreement. Most signs and symptoms showed substantial agreement. The WHO (Dengue guidelines for diagnosis, treatment, prevention and control: new edition, World Health Organization, 2009) clinical criteria for dengue comprise a group of symptoms known as “pains and aches.” Interobserver agreement for abdominal pain, retro‐orbital pain and arthralgia exceed that found for headache and myalgia. Conclusions During a dengue outbreak, the interobserver agreement for most of the signs and symptoms used to assess AFI was substantial. Relevance to clinical practice This result suggests good potential applicability of the tool by health professionals following training. A well‐trained health professional is qualified to apply the standardised questionnaire to evaluate suspected dengue cases during outbreaks.

Suggested Citation

  • Sibelle Nogueira Buonora & Sonia Regina Lambert Passos & Regina Paiva Daumas & Matheus Garcia Lago Machado & Guilherme Miguéis Berardinelli & Diana Neves Rodrigues de Oliveira & Raquel de Vasconcellos, 2020. "Pitfalls in acute febrile illness diagnosis: Interobserver agreement of signs and symptoms during a dengue outbreak," Journal of Clinical Nursing, John Wiley & Sons, vol. 29(9-10), pages 1590-1598, May.
  • Handle: RePEc:wly:jocnur:v:29:y:2020:i:9-10:p:1590-1598
    DOI: 10.1111/jocn.15229
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jocn.15229
    Download Restriction: no

    File URL: https://libkey.io/10.1111/jocn.15229?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Samir Bhatt & Peter W. Gething & Oliver J. Brady & Jane P. Messina & Andrew W. Farlow & Catherine L. Moyes & John M. Drake & John S. Brownstein & Anne G. Hoen & Osman Sankoh & Monica F. Myers & Dylan , 2013. "The global distribution and burden of dengue," Nature, Nature, vol. 496(7446), pages 504-507, April.
    2. José Ueleres Braga & Clarisse Bressan & Ana Paula Razal Dalvi & Guilherme Amaral Calvet & Regina Paiva Daumas & Nadia Rodrigues & Mayumi Wakimoto & Rita Maria Ribeiro Nogueira & Karin Nielsen-Saines &, 2017. "Accuracy of Zika virus disease case definition during simultaneous Dengue and Chikungunya epidemics," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-14, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sakirul Khan & Sheikh Mohammad Fazle Akbar & Takaaki Yahiro & Mamun Al Mahtab & Kazunori Kimitsuki & Takehiro Hashimoto & Akira Nishizono, 2022. "Dengue Infections during COVID-19 Period: Reflection of Reality or Elusive Data Due to Effect of Pandemic," IJERPH, MDPI, vol. 19(17), pages 1-12, August.
    2. Shengzhang Dong & George Dimopoulos, 2023. "Aedes aegypti Argonaute 2 controls arbovirus infection and host mortality," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    3. Zhao, Xinxing & Li, Kainan & Ang, Candice Ke En & Cheong, Kang Hao, 2023. "A deep learning based hybrid architecture for weekly dengue incidences forecasting," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
    4. Eunha Shim, 2017. "Cost-effectiveness of dengue vaccination in Yucatán, Mexico using a dynamic dengue transmission model," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-17, April.
    5. Hone-Jay Chu & Bo-Cheng Lin & Ming-Run Yu & Ta-Chien Chan, 2016. "Minimizing Spatial Variability of Healthcare Spatial Accessibility—The Case of a Dengue Fever Outbreak," IJERPH, MDPI, vol. 13(12), pages 1-11, December.
    6. Cheng-Te Lin & Yu-Sheng Huang & Lu-Wen Liao & Chung-Te Ting, 2020. "Measuring Consumer Willingness to Pay to Reduce Health Risks of Contracting Dengue Fever," IJERPH, MDPI, vol. 17(5), pages 1-15, March.
    7. Amy R. Krystosik & Andrew Curtis & A. Desiree LaBeaud & Diana M. Dávalos & Robinson Pacheco & Paola Buritica & Álvaro A. Álvarez & Madhav P. Bhatta & Jorge Humberto Rojas Palacios & Mark A. James, 2018. "Neighborhood Violence Impacts Disease Control and Surveillance: Case Study of Cali, Colombia from 2014 to 2016," IJERPH, MDPI, vol. 15(10), pages 1-20, September.
    8. Laith Hussain-Alkhateeb & Tatiana Rivera Ramírez & Axel Kroeger & Ernesto Gozzer & Silvia Runge-Ranzinger, 2021. "Early warning systems (EWSs) for chikungunya, dengue, malaria, yellow fever, and Zika outbreaks: What is the evidence? A scoping review," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 15(9), pages 1-25, September.
    9. Jiang, Dong & Wang, Qian & Ding, Fangyu & Fu, Jingying & Hao, Mengmeng, 2019. "Potential marginal land resources of cassava worldwide: A data-driven analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 167-173.
    10. Gerhart Knerer & Christine S M Currie & Sally C Brailsford, 2020. "The economic impact and cost-effectiveness of combined vector-control and dengue vaccination strategies in Thailand: results from a dynamic transmission model," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 14(10), pages 1-32, October.
    11. Benjamin Lopez-Jimena & Michaël Bekaert & Mohammed Bakheit & Sieghard Frischmann & Pranav Patel & Etienne Simon-Loriere & Louis Lambrechts & Veasna Duong & Philippe Dussart & Graham Harold & Cheikh Fa, 2018. "Development and validation of four one-step real-time RT-LAMP assays for specific detection of each dengue virus serotype," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 12(5), pages 1-22, May.
    12. Adriana Zubieta-Zavala & Guillermo Salinas-Escudero & Adrian Ramírez-Chávez & Luis García-Valladares & Malaquias López-Cervantes & Juan Guillermo López Yescas & Luis Durán-Arenas, 2016. "Calculation of the Average Cost per Case of Dengue Fever in Mexico Using a Micro-Costing Approach," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 10(8), pages 1-14, August.
    13. Fazli Wahid & Dr.Sajjad Ali & Jan Muhammad, 2021. "Effective Sources of Information in Winter Seasonal Diseases: The Perception of Residents of District Buner, KP," Journal of Media & Communication (JMC), Ilma University, Faculty of Media & Design, vol. 1(2), pages 215-229.
    14. Maria Glória Teixeira & Enny S Paixão & Maria da Conceição N Costa & Rivaldo V Cunha & Luciano Pamplona & Juarez P Dias & Camila A Figueiredo & Maria Aparecida A Figueiredo & Ronald Blanton & Vanessa , 2015. "Arterial Hypertension and Skin Allergy Are Risk Factors for Progression from Dengue to Dengue Hemorrhagic Fever: A Case Control Study," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 9(5), pages 1-8, May.
    15. Maneerat, Somsakun & Daudé, Eric, 2016. "A spatial agent-based simulation model of the dengue vector Aedes aegypti to explore its population dynamics in urban areas," Ecological Modelling, Elsevier, vol. 333(C), pages 66-78.
    16. Mohd Hanief Ahmad & Mohd Ismail Ibrahim & Zeehaida Mohamed & Nabilah Ismail & Muhammad Amiruddin Abdullah & Rafidah Hanim Shueb & Mohd Nazri Shafei, 2018. "The Sensitivity, Specificity and Accuracy of Warning Signs in Predicting Severe Dengue, the Severe Dengue Prevalence and Its Associated Factors," IJERPH, MDPI, vol. 15(9), pages 1-12, September.
    17. Zhichao Li, 2022. "Forecasting Weekly Dengue Cases by Integrating Google Earth Engine-Based Risk Predictor Generation and Google Colab-Based Deep Learning Modeling in Fortaleza and the Federal District, Brazil," IJERPH, MDPI, vol. 19(20), pages 1-16, October.
    18. Peter Winskill & Danilo O Carvalho & Margareth L Capurro & Luke Alphey & Christl A Donnelly & Andrew R McKemey, 2015. "Dispersal of Engineered Male Aedes aegypti Mosquitoes," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 9(11), pages 1-18, November.
    19. Kuan-Meng Soo & Bahariah Khalid & Siew-Mooi Ching & Hui-Yee Chee, 2016. "Meta-Analysis of Dengue Severity during Infection by Different Dengue Virus Serotypes in Primary and Secondary Infections," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-16, May.
    20. Renaud Marti & Zhichao Li & Thibault Catry & Emmanuel Roux & Morgan Mangeas & Pascal Handschumacher & Jean Gaudart & Annelise Tran & Laurent Demagistri & Jean-François Faure & José Joaquín Carvajal & , 2020. "A Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires," Post-Print hal-02682042, HAL.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:jocnur:v:29:y:2020:i:9-10:p:1590-1598. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1365-2702 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.