Background: Community health workers (CHWs) are well-positioned to play a pivotal role in fighting the pandemic at the community level. The Covid-19 outbreak has led to a lot of stress and anxiety among CHWs as they are expected to perform pandemic related tasks along with the delivery of essential healthcare services. In addition, movement restrictions, lockdowns, social distancing, and lack of protective gear have significantly affected CHWs’ routine workflow and performance. To optimize CHWs’ functioning, there is a renewed interest in supporting CHWs with digital technology to ensure an appropriate pandemic response. Discussion: The current situation has necessitated the use of digital tools for the delivery of Covid-19 related tasks and other essential healthcare services at the community level. Evidence suggests that there has been a significant digital transformation to support CHWs in these critical times such as remote data collection and health assessments, the use of short message service and voice message for health education, use of digital megaphones for encouraging behavior change, and digital contract tracing. A few LMICs such as Uganda and Ethiopia have been successful in operationalizing digital tools to optimize CHWs’ functioning for Covid-19 tasks and other essential health services. Conclusion: Yet, in most LMICs, there are some challenges concerning the feasibility and acceptability of using digital tools for CHWs during the Covid-19 pandemic. In most cases, CHWs find it difficult to adopt and use digital health solutions due to lack of training on new digital tools, weak technical support, issues of internet connectivity, and other administrative related challenges. To address these challenges, engaging governments would be essential for training CHWs on user-friendly digital health solutions to improve routine workflow of CHWs during the Covid-19 pandemic.

From 1990 to 2015, the number of maternal deaths globally has dropped by 43%. Despite this, progress in attaining MDG 5 is not remarkable in LMICs. Only 52% of pregnant women in LMICs obtain WHO recommended minimum of four antenatal consultations and the coverage of postnatal care is relatively poor. In recent years, the increased cellphone penetration has brought the potential for mHealth to improve preventive maternal healthcare services. The objective of this review is to assess the effectiveness of mHealth solutions on a range of maternal health outcomes by categorizing the interventions according to the types of mHealth applications. Three international online electronic databases were searched between January 1, 2000 and January 25, 2016 to identify studies exploring the role of mHealth solutions in improving preventive maternal healthcare services. Of 1262 titles screened after duplication, 69 potentially relevant abstracts were obtained. Out of 69 abstracts, 42 abstracts were shortlisted. Full text of 42 articles was reviewed using data extraction sheet. A total of 14 full text studies were included in the final analysis. The 14 final studies were categorized in to five mHealth applications defined in the conceptual framework. Based on our analysis, the most reported use of mHealth was for client education and behavior change communication, such as SMS and voice reminders [n = 9, 65%]. The categorization provided the understanding that much work have been done on client education and behavior change communication. Most of the studies showed that mHealth interventions have proven to be effective to improve antenatal care and postnatal care services, especially those that are aimed at changing behavior of pregnant women and women in postnatal period. However, little evidence exists on other type of mHealth applications. This review suggests that mHealth solutions targeted at pregnant women and women in postnatal period can improve preventive maternal healthcare services. However, there is a need to conduct more controlled-trials and quasi-experimental studies to strengthen the literature in this research area. The review recommends that mHealth researchers, sponsors, and publishers should prioritize the transparent reporting of interventions to allow effective interpretation of extracted data.

Background: In low-and-middle-income countries community health workers are the core component of the PHC system as they act as a liaison between the communities and the healthcare facilities. Evidence suggests that the services offered by these workers have helped in the decline of maternal and child morbidity and mortality rates and the burden of communicable and non-communicable diseases. However, the coverage and the overall progress towards achieving the SDG targets is very sluggish. The recent consensus concerning this current pace of progress, is that it relates to financial and human resources constraints. CHWs are overburdened as they are expected to accomplish more although they may not obtain the required support to perform their duties. The health systems of LMICs, have given very little attention to the work environment of CHWs; which has negatively affected CHWs productivity, and quality of services. This debate is intended to explore the potential of mobile phone technology in LMICs for improving CHWs performance and effectiveness. Discussion: To improve CHWs productivity, some studies involved the use of mobile phones for data collection and reporting, while other studies used mobile technology for patient to provider communication, patient education, CHWs supervision, and monitoring and evaluation. A wide range of benefits exists for using mobile phones including reduction in CHWs workload, improvement in data collection, reporting and monitoring, provision of quality healthcare services, supportive supervision, better organization of CHWs tasks and improvement in community health outcomes. However, a number of studies suggests that CHWs encounter unique challenges when adopting and using mobile health solutions for health service delivery such as, lack of CHWs training on new mHealth solutions, weak technical support, issues of internet connectivity and other administrative challenges. Future research efforts should be directed to explore health system readiness for adopting sustainable mHealth solutions to improve CHWs workflows in LMICs. Conclusion: Future research efforts and policy dialogue should be directed to explore health system readiness for adopting sustainable mHealth solutions to improve CHWs workflows in LMICs.

Background: Globally, reproductive health programs have used mHealth to provide sexual and reproductive health (SRH) education and services to young people, through diverse communication channels. However, few attempts have been made to systematically review the mHealth programs targeted to improve young people SRH in low-and-middle-income countries (LMICs). This review aims to identify a range of different mHealth solutions that can be used for improving young people SRH in LMICs and highlight facilitators and barriers for adopting mHealth interventions designed to target SRH of young people. Methods: Databases including PubMed, CINAHL Plus, Science Direct, Cochrane Central, and grey literature were searched between January 01, 2005 and March 31, 2020 to identify various types of mHealth interventions that are used to improve SRH services for young people in LMICs. Of 2948 titles screened after duplication, 374 potentially relevant abstracts were obtained. Out of 374 abstracts, 75 abstracts were shortlisted. Full text of 75 studies were reviewed using a pre-defined data extraction sheet. A total of 15 full-text studies were included in the final analysis. Results: The final 15 studies were categorized into three main mHealth applications including client education and behavior change communication, data collection and reporting, and financial transactions and incentives. The most reported use of mHealth was for client education and behavior change communication [n = 14, 93%] followed by financial transactions and incentives, and data collection and reporting Little evidence exists on other types of mHealth applications described in Labrique et al. framework. Included studies evaluated the impact of mHealth interventions on access to SRH services (n = 9) and SRH outcomes (n = 6). mHealth interventions in included studies addressed barriers of provider prejudice, stigmatization, discrimination, fear of refusal, lack of privacy, and confidentiality. The studies also identified barriers to uptake of mHealth interventions for SRH including decreased technological literacy, inferior network coverage, and lower linguistic competency. Conclusion: The review provides detailed information about the implementation of mobile phones at different levels of the healthcare system for improving young people SRH outcomes. This systematic review recommends that barriers to uptake mHealth interventions be adequately addressed to increase the potential use of mobile phones for improving access to SRH awareness and services. Systematic review registration: PROSPERO CRD42018087585 (Feb 5, 2018)

The experiences of these recent months have left us with as many new questions as they have given us new solutions. The main question that infection prevention and control department is having these days is “Why have hospital-associated infections (HAIs) reduced during COVID-19 pandemic?” What is the one unique strategy that has brought decline in increasing HAIs? Would it be appropriate to say that rigorous hand hygiene practices among health care workers (HCWs) have reduced HAIs in a tertiary care hospital of Pakistan? This commentary is written to understand the effect of rigorous hand hygiene among HCWs on number of HAIs during COVID-19 pandemic. Given the seriousness of this outbreak, it was observed that the hand hygiene has occupied a new place of importance in the minds of HCWs. We observed 4 times increase in the consumption of hand sanitizers after COVID-19 outbreak. The increased consumption of hand sanitizers was reflected in improved hand hygiene practices. A reduction was observed in the number of HAIs after the COVID-19 outbreak, and we assume that the dip in HAIs is associated with the improvement in hand hygiene practices in the recent months. In the wake of COVID-19 pandemic, these trends reassure us that hand hygiene compliance by HCWs alone can be effective in reducing HAIs in a hospital setting.

In low-and-middle-income countries, epidemiologic transition is taking place very rapidly from communicable diseases to non-communicable diseases. NCDs mortality rates are increasing faster and nearly 80% of NCDs deaths occur in LMICs. Existing weak health systems of LMICs are undergoing a devastating human and economic toll as a result of increasing treatment costs and losses to productivity from NCDs. At the same time, the increasing penetration of mobile phone technology and the spread of cellular network and infrastructure have led to the introduction of the mHealth field. While mHealth field offers a great promise to prevent and control non-communicable diseases in low-and-middle-income countries: there is a great debate going on to explore health systems readiness for adopting mHealth technology to address NCDs in LMICs. There are a number of factors which determine health systems readiness and response for adoption of mHealth technology including preparedness of healthcare institutions, availability of the resources, willingness of healthcare providers and communities. We have discussed these factors to understand health systems preparedness to adopt mHealth field for prevention and control of NCDs. To adequately integrate mobile-phone-based health interventions into existing health systems, these factors should be dealt up-front through constant effort to improve health systems response for NCDs. Currently, there is insufficient empirical and policy evidence on this research area and therefore future research and policy dialogue should be directed to assess the health systems willingness for mHealth adoption principally to address NCDs in the context of LMICs.