Diagnostic accuracy of four respiratory rate timers to detect pneumonia by frontline health workers in sub-Saharan Africa and Southeast Asia Kevin Baker1,8,

Slides:



Advertisements
Similar presentations
Pneumonia MICS3 Data Analysis and Report Writing.
Advertisements

Madhu Deshmukh Director - MNCH, mHealth, and Gender mHealth Alliance February 15, 2013 Introduction to mHealth mHealth for.
1 KAPPA STATISTICS: An important health statistical tool in clinical observation A.P.TRIPATHI Sr. Process Associate Tata Consultancy Services Noida Uttar.
Dr. Richard B. Munyaneza, MD, Rwanda Ministry of Health.
Goal 4: Reduce Child Mortality Target: Reduce by two thirds, between 1990 and 2015, the under five mortality rate.
Secondhand Smoke A Health Hazard to Children Secondhand Smoke 38 percent of children aged 2 months to 5 years are exposed to secondhand smoke in the.
Community-Based Treatment of Pneumonia (“CBT of P”) Technical basis, USAID strategy and the role of PVOs Child Survival and Health PVO Grants RFA Orientation.
Marc Mitchell, M.D., S.M Harvard School of Public Health and D-tree International Providing Decision Support to Health Workers.
Responding to SARS John Watson Health Protection Agency Communicable Disease Surveillance Centre, London.
Figure 1. Drug Distributors counting breathing rate on a child with pneumonia Community health worker and caretaker recognition of pneumonia in children.
Indicators in Malaria Program Phases By Bayo S Fatunmbi [Technical Officer, Monitoring & Evaluation] ERAR-GMS, WHO Cambodia.
1 EFFICACY OF SHORT COURSE AMOXICILLIN FOR NON-SEVERE PNEUMONIA IN CHILDREN (Hazir T*, Latif E*, Qazi S** AND MASCOT Study Group) *Children’s Hospital,
Integrated Management of Childhood Illnesses
Beyond 2011 Administrative data sources and low-level aggregate models for producing population counts.
Respiratory Tract Infections in Children WAIL A. HAYAJNEH, MD., FAAP.
2008 International AIDS Conference UNGASS reporting Matthew Warner-Smith Monitoring and Evaluation Division UNAIDS 2008 International AIDS Conference Satellite.
Core Epidemiology Slides
Global summary of the HIV and AIDS epidemic, December 2003
Regional HIV and AIDS statistics and features, 2006
a systematic review and meta-analysis
MODERN AFRICA (21st Century)
Specialty Doctor in Sexual Health
The Challenge of Global Poverty
Overview of recommended indicators for routine monitoring of iCCM
iCCM Recommended Indicators
Global summary of the AIDS epidemic, December 2007
Ari control and prevention
Global summary of the HIV/AIDS epidemic, December 2003
Oromia and SNNPR regions, Ethiopia
Global summary of the AIDS epidemic, 2008
Global Estimates on Child Labour ( )
Evaluating the Effectiveness of Using Syndromic Surveillance
Acute respiratory infections (ARI)
Global summary of the HIV/AIDS epidemic, December 2003
Estimated number of new HIV infections in young people
Global summary of the AIDS epidemic, 2008
The country with the largest population in Africa is
Monitoring education inequality at the global level
 Källander K1, Nsungwa-Sabiiti J2,3 , Nsabagasani X4, Pariyo G2, Tomson G1,5 and Peterson S1 (1)   Division of International Health (IHCAR), Karolinska.
RAcE Niger Final Evaluation Results
Astrology or science? Season Of Birth In Inuit Suicide Victims Born In Traditional Or Modern Lifestyle Are Different Karin Sparring Björkstén, Karolinska.
Relative Risk of Death from All Causes for Children in Jumla ARI Program Source: Pandey, Daulaire et al, Lancet 1991.
MODERN (21st Century) Africa
World Health Organization
presented by Jaran Eriksen, project co-coordinator
Regional HIV and AIDS statistics and features, 2003 and 2005
Global summary of the HIV and AIDS epidemic, December 2004
 Källander K1, Nsungwa-Sabiiti J2,3 , Nsabagasani X4, Pariyo G2, Tomson G1,5 and Peterson S1 (1)   Division of International Health (IHCAR), Karolinska.
Charlotte Ward1, Kevin Baker1,2, Sarah Marks1, Dawit Getachew3, Cindy McWhorter4, Agazi Ameha5, Solomie Jebessa 6, Max Petzold 7, Karin Källander1,2 1Malaria.
PCP: Clinical Presentation
Key Issues Where is the world population distributed? Why is global population increasing? Why does population growth vary among regions? Why do some regions.
Nature and number of complications and risk factors for pressure ulcers after traumatic spinal cord injury: How specialized are we? Conran Joseph1 , Kerstin.
Access and Rights Now Reengaging Adolescents in Treatment and Care.
Integrating TB and HIV care services – Malawi Experiences
MANAGEMENT OF PCP Dr. Akaninyene A. Otu, MBBCh, DTM&H, MPH, MRCP (UK), FWACP University of Calabar Teaching Hospital Calabar, Nigeria.
PCP: Clinical Presentation
Global summary of the AIDS epidemic, December 2007
Dr Immaculate Kariuki Consultant Paediatrician Nairobi, Kenya
The country with the largest population in Africa is
Global summary of the HIV/AIDS epidemic, December 2003
Global summary of the HIV and AIDS epidemic, 2005
IMCI Gap Design Software development
THE GLOBAL EPIDEMIOLOGY OF TUBERCULOSIS WORLD HEALTH ORGANIZATION
Sabaydee.
Children (<15 years) estimated to be living with HIV as of end 2005
PNEUMONIA : A CASE-CONTROL STUDY.
Regional HIV and AIDS statistics and features, end of 2004
Global summary of the HIV and AIDS epidemic, 2005
Core epidemiology slides
July 2018 Core epidemiology slides.
Presentation transcript:

Diagnostic accuracy of four respiratory rate timers to detect pneumonia by frontline health workers in sub-Saharan Africa and Southeast Asia Kevin Baker1,8, Tobias Alfven1, Akasiima Mucunguzi2, Lena Matata3, Emily Danzer4, Tedila Habte5, Jill Nicholson1, Max Petzold6,7, Karin Källander1,8 1Malaria Consortium, UK; 2Malaria Consortium, Uganda; 3Malaria Consortium, South Sudan; 4Malaria Consortium, Cambodia; 5Malaria Consortium, Ethiopia; 6Gothenburg University, Sweden; 7University of the Witwatersrand, South Africa 8Karolinska Institute, Sweden 8122 Key messages None of the four devices tested performed well based on agreement with the reference standard The WHO recommended device, the Mark Two Acute Respiratory Infection (MK2 ARI) timer performed at the same level as the other devices tested Automated, easy to use respiratory rate (RR) diagnostic aids for assessing the symptoms of pneumonia for frontline health workers should rapidly be developed and tested Suitable, validated reference standards need to be developed for future testing of new pneumonia diagnostics aids. Results Most Community Health Workers (CHWs) managed to get a RR count, but agreements at ±2 breaths per minute from the reference standard were low, ranging from 26 percent for the respirometer to 35 percent for the ARI with beads. Performance was consistently lower when assessments were carried out on younger children (0-59 days). Agreement for RR classification was moderate across all devices, with a Cohen Kappa statistic ranging from 0.41 (SE 0.04) for the respirometer to 0.49 (SE 0.05) for the MK2 ARI.  Rrate has the highest positive percent agreement (PPA) at 71 percent. MK2 ARI had a PPA of 53 percent, the Respirometer had a PPA of 58 percent and the ARI with beads had a PPA of 44 percent. MK2 ARI had the highest negative percent agreement at 92 percent. Introduction Pneumonia is one of the leading causes of death in children under five in both sub-Saharan Africa and Southeast Asia. The current diagnostic criteria for pneumonia are based on increased respiratory rate (RR) in children with cough and/or difficulty breathing. Health workers often find it difficult to accurately count RR and current counting devices are difficult to use or unavailable. This study is the first large scale comparative evaluation of the accuracy of diagnostic aids for low-resource settings. Methods Four RR timers were evaluated for accuracy on 601 children over three months by community health workers in hospital settings in Cambodia, Ethiopia, South Sudan and Uganda. These RR timers were evaluated against a reference standard – an automated monitoring device (Masimo Root patient monitoring and connectivity platform with ISA CO2 capnography). As no gold standard existed, agreement statistics, percentage agreement and Kappa values are presented. Device MK2 ARI (n=322) RRate (n=304) Respirometer (n=626) ARI with Beads (n=172) N ±2bpm (%) 104 (32) 102 (34) 165 (26) 60 (35) Kappa value (SE) 0.49 (0.05) 0.44 (0.06) 0.41 (0.04) (0.07) PPA (%) (95%CI) 53 (41.9, 63.5) 71 (59.1, 80.3) 58 (51.3, 64.9) 44 (29.5, 58.8) NPA (%) (95% CI) 92 (87.6, 95.0) 78 (72.4, 83.5) 82 (78.3, 85.9) 93 (86.7, 96.6) a b c d Figure 1: Devices tested: a) MK2 ARI timer; b) Beads and ARI timer; c) Respirometer feature phone application; d) Rrate SMART phone application. Kevin Baker is currently Programme Coordinator – pneumonia diagnostics at Malaria Consortium in London and is completing doctoral studies at Karolinska Institutet in Stockholm on pneumonia diagnostics. Karolinska Institutet Department of Public Health Sciences Global Health – Health Systems and Policy Research Group Tomtebodavagen 18A, 17177 Stockholm Sweden Malaria Consortium Development House 56-64 Leonard Street London EC2A 4LT, U.K. E-mail: kevin.baker@ki.se • k.baker@malariaconsortium.org Telephone: +447811266539 Website: www.malariaconsortium.org