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Can an mhealth clinical decision-making support system improve adherence to neonatal healthcare protocols in a low-resource setting?
Amoakoh, Hannah Brown; Klipstein-Grobusch, Kerstin; Agyepong, Irene Akua; Amoakoh-Coleman, Mary; Kayode, Gbenga A; Reitsma, J B; Grobbee, Diederick E; Ansah, Evelyn K.
  • Amoakoh HB; Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre, Utrecht University, Utrecht, The Netherlands. ansomaame@hotmail.com.
  • Klipstein-Grobusch K; School of Public Health, University of Ghana, P.O. Box LG13, Legon, Accra, Ghana. ansomaame@hotmail.com.
  • Agyepong IA; Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre, Utrecht University, Utrecht, The Netherlands.
  • Amoakoh-Coleman M; Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
  • Kayode GA; Research and Development Division, Ghana Health Service, Dodowa, Accra, Ghana.
  • Reitsma JB; Noguchi Memorial Institute, University of Ghana, Legon, Accra, Ghana.
  • Grobbee DE; Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre, Utrecht University, Utrecht, The Netherlands.
  • Ansah EK; International Research Centre of Excellence, Institute of Human Virology, Abuja, Nigeria.
BMC Pediatr ; 20(1): 534, 2020 11 27.
Article en En | MEDLINE | ID: mdl-33243172
ABSTRACT

BACKGROUND:

This study assessed health workers' adherence to neonatal health protocols before and during the implementation of a mobile health (mHealth) clinical decision-making support system (mCDMSS) that sought to bridge access to neonatal health protocol gap in a low-resource setting.

METHODS:

We performed a cross-sectional document review within two purposively selected clusters (one poorly-resourced and one well-resourced), from each arm of a cluster-randomized trial at two different time points before and during the trial. The total trial consisted of 16 clusters randomized into 8 intervention and 8 control clusters to assess the impact of an mCDMSS on neonatal mortality in Ghana. We evaluated health workers' adherence (expressed as percentages) to birth asphyxia, neonatal jaundice and cord sepsis protocols by reviewing medical records of neonatal in-patients using a checklist. Differences in adherence to neonatal health protocols within and between the study arms were assessed using Wilcoxon rank-sum and permutation tests for each morbidity type. In addition, we tracked concurrent neonatal health improvement activities in the clusters during the 18-month intervention period.

RESULTS:

In the intervention arm, mean adherence was 35.2% (SD = 5.8%) and 43.6% (SD = 27.5%) for asphyxia; 25.0% (SD = 14.8%) and 39.3% (SD = 27.7%) for jaundice; 52.0% (SD = 11.0%) and 75.0% (SD = 21.2%) for cord sepsis protocols in the pre-intervention and intervention periods respectively. In the control arm, mean adherence was 52.9% (SD = 16.4%) and 74.5% (SD = 14.7%) for asphyxia; 45.1% (SD = 12.8%) and 64.6% (SD = 8.2%) for jaundice; 53.8% (SD = 16.0%) and 60.8% (SD = 11.7%) for cord sepsis protocols in the pre-intervention and intervention periods respectively. We observed nonsignificant improvement in protocol adherence in the intervention clusters but significant improvement in protocol adherence in the control clusters. There were 2 concurrent neonatal health improvement activities in the intervention clusters and over 12 in the control clusters during the intervention period.

CONCLUSION:

Whether mHealth interventions can improve adherence to neonatal health protocols in low-resource settings cannot be ascertained by this study. Neonatal health improvement activities are however likely to improve protocol adherence. Future mHealth evaluations of protocol adherence must account for other concurrent interventions in study contexts.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Telemedicina Tipo de estudio: Clinical_trials / Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Infant / Newborn País como asunto: Africa Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Telemedicina Tipo de estudio: Clinical_trials / Guideline / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Infant / Newborn País como asunto: Africa Idioma: En Año: 2020 Tipo del documento: Article