Digital Health Interventions for Community Health Worker Training, Ongoing Education, and Supportive Supervision

2021 ◽  
pp. 67-86
Author(s):  
Beatrice Wasunna ◽  
Isaac Holeman

According to the World Health Organization’s No Health Without a Workforce report, the global shortage of community health workers (CHWs) is expected to reach 12.9 million by 2035. This shortfall raises pressing questions about how CHWs are recruited, trained, and supported as front-line care providers. Lay people become CHWs in a variety of ways; they might be chosen by a non-governmental organization or a government programme, elected by community members, or simply volunteer themselves at the right time and place. After recruitment, CHWs typically undergo training, and the scope and quality of this training can vary enormously. Often, limited funds are stretched to conduct trainings in person at facilities that may or may not be readily accessible for health workers, and refresher trainings are often cut in times of budget shortfall. While there may be no simple solution to these challenges, many now look to the use of digital technologies as a promising opportunity. Digital health interventions have come to play a growing role in healthcare in the last decade, yet the uses of technology for training, ongoing education, and supportive supervision remain understudied in lower-income settings. In this chapter, we examine a case study of digital health interventions in Nepal. We examine matters of baseline literacy and access to technology, the interweaving of technology and health system design issues, and prospects for integrating digital and face-to-face education and support. While the role of technology is easily overstated, we nonetheless argue that new digital workflows can address real implementation challenges if designed in a human-centred manner.

10.2196/13005 ◽  
2019 ◽  
Vol 7 (8) ◽  
pp. e13005
Author(s):  
Lianne Gonsalves ◽  
Winnie Wangari Njeri ◽  
Megan Schroeder ◽  
Jefferson Mwaisaka ◽  
Peter Gichangi

Background Evidence is lacking on the efficacy of sexual and reproductive health (SRH) communication interventions for youth (aged 15-24 years), especially from low- and middle-income countries. Therefore, the World Health Organization initiated the Adolescent/Youth Reproductive Mobile Access and Delivery Initiative for Love and Life Outcomes (ARMADILLO) program, a free, menu-based, on-demand text message (SMS, short message service) platform providing validated SRH content developed in collaboration with young people. A randomized controlled trial (RCT) assessing the effect of the ARMADILLO intervention on SRH-related outcomes was implemented in Kwale County, Kenya. Objective This paper describes the implementation challenges related to the RCT, observed during enrollment and the intervention period, and their implications for digital health researchers and program implementers. Methods This was an open, three-armed RCT. Following completion of a baseline survey, participants were randomized into the ARMADILLO intervention (arm 1), a once-a-week contact SMS text message (arm 2), or usual care (arm 3, no intervention). The intervention period lasted seven weeks, after which participants completed an endline survey. Results Two study team decisions had significant implications for the success of the trial’s enrollment and intervention implementation: a hands-off participant recruitment process and a design flaw in an initial language selection menu. As a result, three weeks after recruitment began, 660 participants had been randomized; however, 107 (53%) participants in arm 1 and 136 (62%) in arm 2 were “stuck” at the language menu. The research team called 231 of these nonengaging participants and successfully reached 136 to learn reasons for nonengagement. Thirty-two phone numbers were found to be either not linked to our participants (a wrong number) or not in their primary possession (a shared phone). Among eligible participants, 30 participants indicated that they had assumed the introductory message was a scam or spam. Twenty-seven participants were confused by some aspect of the system. Eleven were apathetic about engaging. Twenty-four nonengagers experienced some sort of technical issue. All participants eventually started their seven-week study period. Conclusions The ARMADILLO study’s implementation challenges provide several lessons related to both researching and implementing client-side digital health interventions, including (1) have meticulous phone data collection protocols to reduce wrong numbers, (2) train participants on the digital intervention in efficacy assessments, and (3) recognize that client-side digital health interventions have analog discontinuation challenges. Implementation lessons were (1) determine whether an intervention requires phone ownership or phone access, (2) digital health campaigns need to establish a credible presence in a busy digital space, and (3) interest in a service can be sporadic or fleeting. Clinical Trial International Standard Randomized Controlled Trial Number (ISRCTN): 85156148; http://www.isrctn. com/ISRCTN85156148


2020 ◽  
pp. 109019812095932
Author(s):  
Leslie B. Adams ◽  
Jennifer Richmond ◽  
Sable N. Watson ◽  
Crystal W. Cené ◽  
Rachel Urrutia ◽  
...  

In recent years, community health workers (CHWs) have emerged as key stakeholders in implementing community-based public health interventions in racially diverse contexts. Yet little is known about the extent to which CHW training curriculums influence intervention effectiveness in marginalized racial and ethnic minority communities. This review summarizes evidence on the relationship between CHW training curricula and intervention outcomes conducted among African American and Latinx populations. We conducted a literature search of intervention studies that focused on CHW public health interventions in African American and Latinx populations using PubMed, PsycINFO, ERIC, CINAHL, EMBASE, and Web of Science databases. Included studies were quantitative, qualitative, and mixed methods studies employed to conduct outcome (e.g., blood pressure and HbA1c) and process evaluations (e.g., knowledge and self-efficacy) of CHW-led interventions. Out of 3,295 articles from the database search, 36 articles met our inclusion criteria. Overall, the strength of evidence linking specific CHW training curricula components to primary intervention health outcomes was weak, and no studies directly linked outcomes to specific characteristics of CHW training. Studies that described training related to didactic sessions or classified as high intensity reported higher percentages of positive outcomes compared to other CHW training features. These findings suggest that CHW training may positively influence intervention effectiveness but additional research using more robust methodological approaches is needed to clarify these relationships.


BMJ Open ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. e053871
Author(s):  
Anam Shahil Feroz ◽  
Komal Valliani ◽  
Hajra Khwaja ◽  
Sehrish Karim

IntroductionCOVID-19 has significantly affected community health workers’ (CHWs) performance as they are expected to perform pandemic-related tasks along with routine essential healthcare services. A plausible way to optimise CHWs’ functioning during this pandemic is to couple the efforts of CHWs with digital tools. So far, no systematic evidence is available on the use of digital health interventions to support CHWs in low-middle-income countries (LMICs) amid the COVID-19 pandemic. The article describes a protocol for a scoping review of primary research studies that aim to map evidence on the use of unique digital health interventions to support CHWs during COVID-19 in LMICs.Methods and analysisOur methodology has been adapted from scoping review guidelines provided by Arksey and O’Malley, Levac et al. and the Joanna Briggs Institute. Our search strategy has been developed for the following four main electronic databases: Excerpta Medica Database, Medical Literature Analysis and Retrieval System Online, Cochrane Central Register of Controlled Trials and Cumulated Index to Nursing and Allied Health Literature. Google Scholar and reference tracking will be used for supplementary searches. Each article will be screened against eligibility criteria by two independent researchers at the title and abstract and full-text level. The review will include studies that targeted digital health interventions at CHWs’ level to provide support in delivering COVID-19-related and other essential healthcare services. A date limit of 31 December 2019 to the present date will be placed on the search and English language articles will be included.Ethics and disseminationFormal ethical approval is not required, as primary data will not be collected in this study. The results from our scoping review will provide valuable insight into the use of digital health interventions to optimise CHWs’ functioning and will reveal current knowledge gaps in research. The results will be disseminated through journal publications and conference presentations.


2018 ◽  
Author(s):  
Lianne Gonsalves ◽  
Winnie Wangari Njeri ◽  
Megan Schroeder ◽  
Jefferson Mwaisaka ◽  
Peter Gichangi

BACKGROUND Evidence is lacking on the efficacy of sexual and reproductive health (SRH) communication interventions for youth (aged 15-24 years), especially from low- and middle-income countries. Therefore, the World Health Organization initiated the Adolescent/Youth Reproductive Mobile Access and Delivery Initiative for Love and Life Outcomes (ARMADILLO) program, a free, menu-based, on-demand text message (SMS, short message service) platform providing validated SRH content developed in collaboration with young people. A randomized controlled trial (RCT) assessing the effect of the ARMADILLO intervention on SRH-related outcomes was implemented in Kwale County, Kenya. OBJECTIVE This paper describes the implementation challenges related to the RCT, observed during enrollment and the intervention period, and their implications for digital health researchers and program implementers. METHODS This was an open, three-armed RCT. Following completion of a baseline survey, participants were randomized into the ARMADILLO intervention (arm 1), a once-a-week contact SMS text message (arm 2), or usual care (arm 3, no intervention). The intervention period lasted seven weeks, after which participants completed an endline survey. RESULTS Two study team decisions had significant implications for the success of the trial’s enrollment and intervention implementation: a hands-off participant recruitment process and a design flaw in an initial language selection menu. As a result, three weeks after recruitment began, 660 participants had been randomized; however, 107 (53%) participants in arm 1 and 136 (62%) in arm 2 were “stuck” at the language menu. The research team called 231 of these nonengaging participants and successfully reached 136 to learn reasons for nonengagement. Thirty-two phone numbers were found to be either not linked to our participants (a wrong number) or not in their primary possession (a shared phone). Among eligible participants, 30 participants indicated that they had assumed the introductory message was a scam or spam. Twenty-seven participants were confused by some aspect of the system. Eleven were apathetic about engaging. Twenty-four nonengagers experienced some sort of technical issue. All participants eventually started their seven-week study period. CONCLUSIONS The ARMADILLO study’s implementation challenges provide several lessons related to both researching and implementing client-side digital health interventions, including (1) have meticulous phone data collection protocols to reduce wrong numbers, (2) train participants on the digital intervention in efficacy assessments, and (3) recognize that client-side digital health interventions have analog discontinuation challenges. Implementation lessons were (1) determine whether an intervention requires phone ownership or phone access, (2) digital health campaigns need to establish a credible presence in a busy digital space, and (3) interest in a service can be sporadic or fleeting. CLINICAL TRIAL International Standard Randomized Controlled Trial Number (ISRCTN): 85156148; http://www.isrctn. com/ISRCTN85156148


Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 367
Author(s):  
Pilar Charle-Cuéllar ◽  
Noemí López-Ejeda ◽  
Mamadou Traore ◽  
Adama Balla Coulibaly ◽  
Aly Landouré ◽  
...  

(1) Background: The Ministry of Health in Mali included the treatment of severe acute malnutrition (SAM) into the package of activities of the integrated community case management (iCCM). This paper evaluates the most effective model of supervision for treating SAM using community health workers (CHWs). Methods (2): This study was a prospective non-randomized community intervention trial with two intervention groups and one control group with different levels of supervision. It was conducted in three districts in rural areas of the Kayes Region. In the high supervision group, CHWs received supportive supervision for the iCCM package and nutrition-specific supervision. In the light supervision group, CHWs received supportive supervision based on the iCCM package. The control group had no specific supervision. (3) Results: A total of 6112 children aged 6–59 months with SAM without medical complications were included in the study. The proportion of cured children was 81.4% in those treated by CHWs in the high supervision group, 86.2% in the light supervision group, and 66.9% in the control group. Children treated by the CHWs who received some supervision had better outcomes than those treated by unsupervised CHWs (p < 0.001). There was no difference between areas with light and high supervision, although those with high supervision performed better in most of the tasks analyzed. (4) Conclusions: Public policies in low-income countries should be adapted, and their model of supervision of CHWs for SAM treatment in the community should be evaluated.


2021 ◽  
Author(s):  
Sarah M. Rodrigues ◽  
Anil Kanduri ◽  
Adeline M. Nyamathi ◽  
Nikil Dutt ◽  
Pramod P. Khargonekar ◽  
...  

AbstractDigital Health-Enabled Community-Centered Care (D-CCC) represents a pioneering vision for the future of community-centered care. Utilizing an artificial intelligence-enabled closed-loop digital health platform designed for, and with, community health workers, D-CCC enables timely and individualized delivery of interventions by community health workers to the communities they serve. D-CCC has the potential to transform the current landscape of manual, episodic and restricted community health worker-delivered care and services into an expanded, digitally interconnected and collaborative community-centered health and social care ecosystem which centers around a digitally empowered community health workforce of the future.


2021 ◽  
pp. 35-63
Author(s):  
Joia S. Mukherjee

The tide turned in public health due to the fight for AIDS treatment access around the world. While prevention, not treatment was the focus of most health interventions in the 20th century, based on this SPHC model, AIDS resulted in a reversal of the gains made in the child survival revolution. Entire communities collapsed under the weight of AIDS which struck down mothers, fathers, teachers, farmer, and health workers. This chapter focuses on the AIDS pandemic, beginning in the 1980s, and traces the global spread of this deadly disease. Importantly, the chapter covers the emergence of the movement of people living with AIDS both in accelerating the discovery of antiretroviral and as a movement that focused the right to health for all. It is the force of this movement that resulted in novel funding of global health.


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