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✪ Digital communication between mothers and community health workers to support neonatal health (CHV-NEO): study protocol for a randomized controlled trial

Authors:

Keshet Ronen, Lincoln C. Pothan, Violet Apondi, Felix A. Otieno, Daniel Mwakanema, Felix O. Otieno, Lusi Osborn, Julia C. Dettinger, Priyanka Shrestha, Helena Manguerra, Ferdinand Mukumbang, Millicent Masinde, Evelyn Waweru, Mercy Amulele, Christine Were, Beatrice Wasunna, Grace John-Stewart, Bryan Weiner, Arianna Rubin Means, Barbra A. Richardson, Anna B. Hedstrom, Jennifer A. Unger & John Kinuthia

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: October 2024

Read the full text in the open access journal Trials

Abstract:

Background

Provision of essential newborn care at home, rapid identification of illness, and care-seeking by caregivers can prevent neonatal mortality. Mobile technology can connect caregivers with information and healthcare worker advice more rapidly and frequently than healthcare visits. Community health workers (CHWs) are well-suited to deliver such interventions. We developed an interactive short message service (SMS) intervention for neonatal health in Kenya, named CHV-NEO. CHV-NEO sends automated, theory-based, actionable, messages throughout the peripartum period that guide mothers to evaluate maternal and neonatal danger signs and facilitate real-time dialogue with a CHW via SMS. We integrated this intervention into Kenya’s national electronic community health information system (eCHIS), which is currently used at scale to support CHW workflow.

Methods

The effect of CHV-NEO on clinical and implementation outcomes will be evaluated through a non-blinded cluster randomized controlled trial. Twenty sites across Kisumu County in Western Kenya were randomized 1:1 to provide either the national eCHIS with integrated CHV-NEO messaging (intervention) or standard of care using eCHIS without CHV-NEO (control). We will compare neonatal mortality between arms based on abstracted eCHIS data from 7200 pregnant women. Secondary outcomes include self-reported provision of essential newborn care (appropriate cord care, thermal care, and timely initiation of breastfeeding), knowledge of neonatal danger signs, and care-seeking for neonatal illness, compared between arms based on questionnaires with a subgroup of 2000 women attending study visits at enrollment in pregnancy and 6 weeks postpartum. We will also determine CHV-NEO’s effect on CHW workflows and evaluate determinants of intervention acceptability, adoption, and fidelity of use through questionnaires, individual interviews, and messaging data.

Discussion

We hypothesize that the CHV-NEO direct-to-client communication strategy can be successfully integrated within existing CHW workflows and infrastructure, improve the provision of at-home essential newborn care, increase timely referral of neonatal illness to facilities, and reduce neonatal mortality. The intervention’s integration into the national eCHIS tool will facilitate rapid scale-up if it is clinically effective and successfully implemented.

Trial registration

ClinicalTrials.gov, NCT05187897. The CHV-NEO study was registered on January 12, 2022.

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**

✪ Acceptability and Utility of a Digital Group Intervention to Prevent Perinatal Depression in Youths via Interactive Maternal Group for Information and Emotional Support (IMAGINE): Pilot Cohort Study

Authors:

Keshet Ronen, Anupa Gewali, Kristin Dachelet, Erica White, Marimirca Jean-Baptiste, Yolanda N Evans, Jennifer A Unger, S. Darius Tandon, Amritha Bhat

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: February 2024

Read the full text in the open access journal JMIR Formative Research

Abstract:

Background

Perinatal depression (depression during pregnancy or the first year postpartum) affects 10%-25% of perinatal individuals, with a higher risk among youths aged <25 years. The Mothers and Babies Course (MB) is an evidence-based intervention for the prevention of perinatal depression, grounded in cognitive behavioral therapy, attachment theory, and psychoeducation.

Objective

We developed a digital adaptation of MB (Interactive Maternal Group for Information and Emotional Support [IMAGINE]) and evaluated it in a pre-post mixed methods pilot among young perinatal people in the United States

Methods

IMAGINE was a structured digital group of up to 7 participants, with scheduled MB content and open discussion for 12 weeks, facilitated by a social worker. Scheduled content included asynchronous SMS text messages, graphics, prerecorded videos, mood polls, and optional weekly synchronous video calls. Eligible participants were pregnant or ≤80 days postpartum, aged 16 to 24 years, had access to a smartphone, spoke English, and had a Patient Health Questionnaire score <10. Participants were recruited throughout the United States from August 2020 to January 2021 through paid social media ads, in-person outreach at clinics, and respondent-driven sampling. Participants completed quantitative questionnaires at enrollment and 3 months, and qualitative interviews at 3 months. We determined uptake, acceptability (by Acceptability of Intervention Measure score), and utility (by use of cognitive behavioral therapy skills). We compared depression symptoms (by Patient Health Questionnaire score), social support (by abbreviated Social Support Behavior score), and perceived stress (by Perceived Stress Score) between enrollment and follow-up by paired 2-tailed t test.

Results

Among 68 individuals who contacted this study, 22 were screened, 13 were eligible, and 10 enrolled, for an uptake of 76.9%. Furthermore, 4 (40%) participants were pregnant at enrollment. Participants had a median age of 17.9 (IQR 17.4-21.7) years, 6 (67%) identified as Black, 5 (56%) Latinx, and 6 (67%) using Medicaid health insurance. Further, 9 (90%) participants completed follow-up. Among these, the mean acceptability score was 4.3 out of 5 (SD 0.6) and all participants said they would recommend IMAGINE to a friend. Participants reported using a median of 7 of 11 skills (IQR 5-7 skills) at least half the days. We found no significant changes in depression symptoms, perceived stress, or social support. Qualitatively, participants reported one-to-one support from the facilitator, connection with other parents, and regular mood reflection were especially helpful aspects of the intervention. Additionally, participants reported that the intervention normalized their mental health challenges, improved their ability to manage their mood, and increased their openness to mental health care.

Conclusions

This pilot study provides promising evidence of the acceptability and utility of IMAGINE among perinatal youths. Our study’s small sample size did not detect changes in clinical outcomes; our findings suggest IMAGINE warrants larger-scale evaluation.

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**

✪ Systems analysis and improvement approach to optimize the hypertension diagnosis and care cascade for PLHIV individuals (SAIA-HTN): A hybrid type III cluster randomized trial

Authors:

Sarah Gimbel, Ana Olga Mocumbi, Kristjana Ásbjörnsdóttir, Joana Coutinho, Leonel Andela, Bonifacio Cebola, Heidi Craine, Jonny Crocker, Leecreesha Hicks, Sarah Holte, Rodrigues Hossieke, Edgar Itai, Carol Levin, Nelia Manaca, Filipe Murgorgo, Miguel Nhumba, James Pfeiffer, Isaias Ramiro, Keshet Ronen, Nona Sotoodehnia, Onei Uetela, Anjuli Wagner, Bryan J. Weiner, & Kenneth Sherr

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: March 2020

Read the full text in the open access journal Implementation Science

Abstract:

Background

Across sub-Saharan Africa, evidence-based clinical guidelines to screen and manage hypertension exist; however, country level application is low due to lack of service readiness, uneven health worker motivation, weak accountability of health worker performance, and poor integration of hypertension screening and management with chronic care services. The systems analysis and improvement approach (SAIA) is an evidence-based implementation strategy that combines systems engineering tools into a five-step, facility-level package to improve understanding of gaps (cascade analysis), guide identification and prioritization of low-cost workflow modifications (process mapping), and iteratively test and redesign these modifications (continuous quality improvement). As hypertension screening and management are integrated into chronic care services in sub-Saharan Africa, an opportunity exists to test whether SAIA interventions shown to be effective in improving efficiency and coverage of HIV services can be effective when applied to the non-communicable disease services that leverage the same platform. We hypothesize that SAIA-hypertension (SAIA-HTN) will be effective as an adaptable, scalable model for broad implementation.

Methods

We will deploy a hybrid type III cluster randomized trial to evaluate the impact of SAIA-HTN on hypertension management in eight intervention and eight control facilities in central Mozambique. Effectiveness outcomes include hypertension cascade flow measures (screening, diagnosis, management, control), as well as hypertension and HIV clinical outcomes among people living with HIV. Cost-effectiveness will be estimated as the incremental costs per additional patient passing through the hypertension cascade steps and the cost per additional disability-adjusted life year averted, from the payer perspective (Ministry of Health). SAIA-HTN implementation fidelity will be measured, and the Consolidated Framework for Implementation Research will guide qualitative evaluation of the implementation process in high- and low-performing facilities to identify determinants of intervention success and failure, and define core and adaptable components of the SAIA-HTN intervention. The Organizational Readiness for Implementing Change scale will measure facility-level readiness for adopting SAIA-HTN.

Discussion

SAIA packages user-friendly systems engineering tools to guide decision-making by front-line health workers to identify low-cost, contextually appropriate chronic care improvement strategies. By integrating SAIA into routine hypertension screening and management structures, this pragmatic trial is designed to test a model for national scale-up.

Trial registration

Registered 09/13/2019; NCT04088656).

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**

Cascade Analysis: An Adaptable Implementation Strategy Across HIV and Non-HIV Delivery Platforms

Anjuli D. Wagner, Sarah Gimbel, Kristjana H. Ásbjörnsdóttir, Peter Cherutich, Joana Coutinho, Jonny Crocker, Emiliae Cruz, Fatima Cuembelo, Vasco Cumbe, McKenna Eastment, Jennifer Einberg, Florencia Floriano, Douglas Gaitho, Brandon L. Guthrie, Grace John-Stewart, Alex H. Kral, Barrot H. Lambdin, Shan Liu, Martin Bcom Maina, Nelia Manaca, Mika Matsuzaki, Loris Mattox, Nancy Mburu, R. Scott McClelland, Mark A. Micek, Ana Olga Mocumbi, Albertoe Muanido, Ruth Nduati, Irene N. Njuguna, Geoffrey Oluoch, Laura B. Oyiengo, Keshet Ronen, Caroline Soi, Bradley H. Wagenaar, George Wanje, Lynn D. Wenger, and Kenneth Sherr

University of Washington affiliated authors are displayed in bold.

Published: December 2019

Read the full text in the subscription access JAIDS: Journal of Acquired Immune Deficiency Syndromes

✪ Scaling-up the Systems Analysis and Improvement Approach for prevention of mother-to-child HIV transmission in Mozambique (SAIA-SCALE): a stepped-wedge cluster randomized trial

Authors:

Kenneth Sherr, Kristjana Ásbjörnsdóttir, Jonny Crocker, Joana Coutinho, Maria de Fatima Cuembelo, Esperança Tavede, Nélia Manaca, Keshet Ronen, Felipe Murgorgo, Ruanne Barnabas, Grace John-Stewart, Sarah Holte, Bryan J. Weiner, James Pfeiffer & Sarah Gimbel

University of Washington affiliated authors are displayed in bold.

✪ Open Access

Published: April 2019

Read the full text in the open access journal Implementation Science

Abstract:

Background

The introduction of option B+ — rapid initiation of lifelong antiretroviral therapy regardless of disease status for HIV-infected pregnant and breastfeeding women — can dramatically reduce HIV transmission during pregnancy, birth, and breastfeeding. Despite significant investments to scale-up Option B+, results have been mixed, with high rates of loss to follow-up, sub-optimal viral suppression, continued pediatric HIV transmission, and HIV-associated maternal morbidity. The Systems Analysis and Improvement Approach (SAIA) cluster randomized trial demonstrated that a package of systems engineering tools improved flow through the prevention of mother-to-child HIV transmission (PMTCT) cascade. This five-step, facility-level intervention is designed to improve understanding of gaps (cascade analysis), guide identification and prioritization of low-cost workflow modifications (process mapping), and iteratively test and redesign these modifications (continuous quality improvement). This protocol describes a novel model for SAIA delivery (SAIA-SCALE) led by district nurse supervisors (rather than research nurses), and evaluation procedures, to serve as a foundation for national scale-up.

Methods

The SAIA-SCALE stepped wedge trial includes three implementation waves, each 12 months in duration. Districts are the unit of assignment, with four districts randomly assigned per wave, covering all 12 districts in Manica province, Mozambique. In each district, the three highest volume health facilities will receive the SAIA-SCALE intervention (totaling 36 intervention facilities). The RE-AIM framework will guide SAIA-SCALE’s evaluation. Reach describes the proportion of clinics and population in Manica province reached, and sub-groups not reached. Effectiveness assesses impact on PMTCT process measures and patient-level outcomes. Adoption describes the proportion of districts/clinics adopting SAIA-SCALE, and determinants of adoption using the Organizational Readiness for Implementing Change (ORIC) tool. Implementation will identify SAIA-SCALE core elements and determinants of successful implementation using the Consolidated Framework for Implementation Research (CFIR). Maintenance describes the proportion of districts sustaining the intervention. We will also estimate the budget and program impact from the payer perspective for national scale-up.

Discussion

SAIA packages user-friendly systems engineering tools to guide decision-making by frontline health workers, and to identify low-cost, contextually appropriate PMTCT improvement strategies. By integrating SAIA delivery into routine management structures, this pragmatic trial is designed to test a model for national intervention scale-up.

Trial Registration

ClinicalTrials.gov NCT03425136 (registered 02/06/2018).

**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**