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Evidence of mobile health integration into primary health care systems for better maternal mental health in LMICs during COVID-19 pandemic - Review.
Jabeen, Rawshan; Salman, Mubarak Jabeen; Qazi, Ibtisam.
  • Jabeen R; Department of Paediatrics and Child Health, Aga Khan University, Karachi.
  • Salman MJ; Children's Hospital, Karachi, Pakistan.
  • Qazi I; Department of Paediatrics and Child Health, Aga Khan University, Karachi.
J Pak Med Assoc ; 73(1): 125-128, 2023 Jan.
Article in English | MEDLINE | ID: covidwho-2231328
ABSTRACT
Mental illnesses are prevalent worldwide, especially in the underdeveloped countries of the South Asian region, particularly in women, where they largely remain unaddressed. Evidence from the South Asian region indicates that there is a high burden of mental disorders in vulnerable populations such as pregnant women. Mental health problems during pregnancy and in the postpartum period are twice as common in LMICs as compared to HICs. Interventions delivered by community health workers (CHWs) in many health delivery and promotive initiatives have played a vital role in improving mental health. CHW-based interventions are cost-effective, efficient and acceptable for the local people and can strengthen the overall health system. This review aimed to explore integration of maternal mental health into existing maternal, newborn and child health (MNCH) programs so that delivery of mental health interventions can be done alongside MNCH interventions. Integrating maternal mental health programmes into existing MNCH programs and using digital platforms for expanding their delivery through CHWs, lay counsellors, and other frontline health workers can prove to be a promising strategy. Even though mHealth platforms for addressing a variety of health issues have been widely used during the COVID-19 pandemic, the use of digital platforms for addressing maternal mental health issues remains inadequate.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / COVID-19 Type of study: Prognostic study Limits: Child / Female / Humans / Infant, Newborn / Pregnancy Language: English Journal: J Pak Med Assoc Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / COVID-19 Type of study: Prognostic study Limits: Child / Female / Humans / Infant, Newborn / Pregnancy Language: English Journal: J Pak Med Assoc Year: 2023 Document Type: Article