mPneumonia: Development of an Innovative mHealth Application for Diagnosing and Treating Childhood Pneumonia and Other Childhood Illnesses in Low-Resource Settings

Pneumonia is the leading infectious cause of death in children worldwide. Each year, pneumonia kills an estimated 935,000 children under five years of age, with most of these deaths occurring in developing countries. The current approach for pneumonia diagnosis in low-resource settings—using the World Health Organization Integrated Management of Childhood Illness (IMCI) paper-based protocols and relying on a health care provider’s ability to manually count respiratory rate—has proven inadequate. Furthermore, hypoxemia—a diagnostic indicator of the presence and severity of pneumonia often associated with an increased risk of death—is not assessed because pulse oximetry is frequently not available in low-resource settings. In an effort to address childhood pneumonia mortality and improve frontline health care providers’ ability to diagnose, classify, and manage pneumonia and other childhood illnesses, PATH collaborated with the University of Washington to develop “mPneumonia,” an innovative mobile health application using an Android tablet. mPneumonia integrates a digital version of the IMCI algorithm with a software-based breath counter and a pediatric pulse oximeter. We conducted a design-stage usability field test of mPneumonia in Ghana, with the goal of creating a user-friendly diagnostic and management tool for childhood pneumonia and other childhood illnesses that would improve diagnostic accuracy and facilitate adherence by health care providers to established guidelines in low-resource settings. The results of the field test provided valuable information for understanding the usability and acceptability of mPneumonia among health care providers, and identifying approaches to iterate and improve. This critical feedback helped ascertain the common failure modes related to the user interface design, navigation, and accessibility of mPneumonia and the modifications required to improve user experience and create a tool aimed at decreasing mortality from pneumonia and other childhood illnesses in low-resource settings.

[1]  P. Nsubuga,et al.  Can lay community health workers be trained to use diagnostics to distinguish and treat malaria and pneumonia in children? Lessons from rural Uganda , 2011, Tropical medicine & international health : TM & IH.

[2]  S. P. Kachur,et al.  Why first-level health workers fail to follow guidelines for managing severe disease in children in the Coast Region, the United Republic of Tanzania. , 2009, Bulletin of the World Health Organization.

[3]  Daniel Msellemu,et al.  Perceived Improvement in Integrated Management of Childhood Illness Implementation through Use of Mobile Technology: Qualitative Evidence From a Pilot Study in Tanzania , 2012, Journal of health communication.

[4]  Don de Savigny,et al.  The effect of Integrated Management of Childhood Illness on observed quality of care of under-fives in rural Tanzania. , 2004, Health policy and planning.

[5]  T. Adam,et al.  Does the Integrated Management of Childhood Illness cost more than routine care? Results from the United Republic of Tanzania. , 2005, Bulletin of the World Health Organization.

[6]  P. Sainsbury,et al.  Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. , 2007, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[7]  R. Scherpbier,et al.  Are health interventions implemented where they are most needed? District uptake of the integrated management of childhood illness strategy in Brazil, Peru and the United Republic of Tanzania. , 2006, Bulletin of the World Health Organization.

[8]  Neal Lesh,et al.  Using electronic technology to improve clinical care – results from a before-after cluster trial to evaluate assessment and classification of sick children according to Integrated Management of Childhood Illness (IMCI) protocol in Tanzania , 2013, BMC Medical Informatics and Decision Making.

[9]  Gaetano Borriello,et al.  E-imci: improving pediatric health care in low-income countries , 2008, CHI.

[10]  H. Fraser,et al.  Improving care – improving access: the use of electronic decision support with AIDS patients in South Africa , 2009 .

[11]  Jamie Perin,et al.  Global, regional, and national causes of child mortality in 2000–13, with projections to inform post-2015 priorities: an updated systematic analysis , 2015, The Lancet.

[12]  Marc Mitchell,et al.  National implementation of Integrated Management of Childhood Illness (IMCI): policy constraints and strategies. , 2010, Health policy.

[13]  Gaetano Borriello,et al.  Open data kit 2.0: expanding and refining information services for developing regions , 2013, HotMobile '13.

[14]  G. Pariyo,et al.  Can community health workers and caretakers recognise pneumonia in children? Experiences from western Uganda. , 2006, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[15]  D. Peel,et al.  Pulse oximetry: technology to reduce child mortality in developing countries , 2009, Annals of tropical paediatrics.

[16]  M. English,et al.  Oxygen and pulse oximetry in childhood pneumonia: a survey of healthcare providers in resource-limited settings. , 2012, Journal of tropical pediatrics.

[17]  N. Rollins,et al.  Experiences of training and implementation of integrated management of childhood illness (IMCI) in South Africa: a qualitative evaluation of the IMCI case management training course , 2009, BMC pediatrics.

[18]  M. English,et al.  Oxygen is an essential medicine: a call for international action. , 2010, The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease.

[19]  M. Gerdtz,et al.  Can simple mobile phone applications provide reliable counts of respiratory rates in sick infants and children? An initial evaluation of three new applications. , 2015, International journal of nursing studies.

[20]  B. Genton,et al.  Can smartphones and tablets improve the management of childhood illness in Tanzania? A qualitative study from a primary health care worker’s perspective , 2015, BMC Health Services Research.

[21]  Hamish S. F. Fraser,et al.  Electronic decision protocols for ART patient triaging to expand access to HIV treatment in South Africa: A cross sectional study for development and validation , 2012, Int. J. Medical Informatics.

[22]  B. Genton,et al.  Clinical features for diagnosis of pneumonia in children younger than 5 years: a systematic review and meta-analysis. , 2015, The Lancet. Infectious diseases.