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Publications from our research:
Crehan C, Kesler E, Nambiar B, Dube Q, Lufesi N, Giaccone M, Normand C, Azad K, Heys M. The NeoTree application: developing an integrated mHealth solution to improve quality of newborn care and survival in a district hospital in Malawi. BMJ Glob Health. 2019 Jan 16;4(1):e000860. doi: 10.1136/bmjgh-2018-000860. eCollection 2019.
Gannon H, Chimhuya S, Chimhini G, Neal SR, Shaw LP, Crehan C, Hull-Bailey T, Ferrand RA, Klein N, Sharland M, Cortina Borja M, Robertson V, Heys M, Fitzgerald FC. An electronic application to improve management of infections in low-income neonatal units: pilot implementation of the NeoTree Beta App in a public sector hospital in Zimbabwe. BMJ Open Quality 2021 Jan;10(1):e001043. doi: 10.1136/bmjoq-2020-001043.
Mgusha, Y., Nkhoma DB., Chiume-Kayuni M., Gundo B. Gundo R., Shair F., Dinga, P., Lakhanpaul M., Lorencatto, F., Heys M., Crehan, C. Admissions to a Low-Resource Neonatal Unit in Malawi using a Mobile App and Dashboard: A One Year Digital Perinatal Outcome Audit (accepted abstract in press: Archives of Disease in Childhood) 2021
Crehan C, Huq T, Kesler E, et al. A qualitative study of healthcare workers perceived barriers and facilitators to neonatal care in a central hospital in malawi. Archives of Disease in Childhood 2018;103:A30
Crehan, C., Kesler, E., Chikamoni, I., Sun, K., Dube, Q., Lakhanpaul, M., Heys M. Admissions to a low resource neonatal unit in Malawi using The NeoTree application: A digital perinatal outcome audit. JMIR mHealth and uHealth (2020;8(10):e16485 doi: 10.2196/16485 PMID: 33084581
Evans, M., Corden, M., Crehan, C., Fitzgerald, F., Heys, M. Refining clinical algorithms for a neonatal digital platform for low-income countries: A modified Delphi Technique. (accepted BMJ Open: bmjopen-2020-042124.R2)
Kaur, E., Heys, M., Evans, M., Crehan, C., Costello, A., Chiume, M., Wilson, E. on behalf of the NeoTree Team. Barriers to achieving quality neonatal care in low resource settings: perspectives from a unique panel of neonatal health experts (accepted abstract, in press: Archives of Disease in Childhood) 2021
Neal 2020a: Neal SR, Musorowegomo D, Gannon H, Cortina Borja M, Heys M, Chimhini G, Fitzgerald F. Clinical prediction models to diagnose neonatal sepsis: a scoping review protocol. BMJ Open. 2020 Aug 20;10(8):e039712
Stevenson AG, Tooke L, Edwards EM, Mangiza M, Horn D, Heys M, Abayneh M, Chimhuya S, Ehret DEY. The use of data in resource limited settings to improve quality of care. Semin Fetal Neonatal Med. 2021 Feb 3:101204. doi: 10.1016/j.siny.2021.101204. Epub ahead of print. PMID: 33579628.
