Mari Armstrong-Hough

Prof. Mari Armstrong-Hough

New York University School of Global Public Health
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Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 July 2020 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
AMAmanda J Meyer
Amanda J Meyer
MAMari Armstrong-Hough
Mari Armstrong-Hough
DBDiana Babirye
Diana Babirye
DMDavid Mark
David Mark
PTPatricia Turimumahoro
Patricia Turimumahoro
JDJ. Lucian Davis
J. Lucian Davis
Background: Mobile health (mHealth) interventions are becoming more common in low-income countries. Existing research often overlooks implementation challenges associated with the design and technology requirements of mHealth interventions. Objective: We aimed to characterize the challenges that we encountered in the implementation of a complex mHealth intervention in Uganda. Methods: We customized a commercial mobile survey app to facilitate a two-arm household-randomized, controlled trial of home-based tuberculosis (TB) contact investigation. We incorporated digital fingerprinting for patient identification in both study arms and automated SMS messages in the intervention arm only. A local research team systematically documented challenges to implementation in biweekly site visit reports, project management reports, and minutes from biweekly conference calls. We then classified these challenges using the Consolidated Framework for Implementation Research (CFIR). Results: We identified challenges in three principal CFIR domains: (1) intervention characteristics, (2) inner setting, and (3) characteristics of implementers. The adaptability of the app to the local setting was limited by software and hardware requirements. The complexity and logistics of implementing the intervention further hindered its adaptability. Study staff reported that community health workers (CHWs) were enthusiastic regarding the use of technology to enhance TB contact investigation during training and the initial phase of implementation. After experiencing technological failures, their trust in the technology declined along with their use of it. Finally, complex data structures impeded the development and execution of a data management plan that would allow for articulation of goals and provide timely feedback to study staff, CHWs, and participants. Conclusions: mHealth technologies have the potential to make delivery of public health interventions more direct and efficient, but we found that a lack of adaptability, excessive complexity, loss of trust among end users, and a lack of effective feedback systems can undermine implementation, especially in low-resource settings where digital services have not yet proliferated. Implementers should anticipate and strive to avoid these barriers by investing in and adapting to local human and material resources, prioritizing feedback from end users, and optimizing data management and quality assurance procedures. Trial Registration: Pan-African Clinical Trials Registration PACTR201509000877140; https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=877

8 February 2018 in PLOS ONE
Verified
Journal Article
Open access
PDF file
MAMari Armstrong-Hough
Mari Armstrong-Hough
SKSandeep P Kishore
Sandeep P Kishore
SBSarah Byakika
Sarah Byakika
GMGerald Mutungi
Gerald Mutungi
MNMarcella Nunez-Smith
Marcella Nunez-Smith
JSJeremy I Schwartz
Jeremy I Schwartz
Although the WHO-developed Service Availability and Readiness Assessment (SARA) tool is a comprehensive and widely applied survey of health facility preparedness, SARA data have not previously been used to model predictors of readiness. We sought to demonstrate that SARA data can be used to model availability of essential medicines for treating non-communicable diseases (EM-NCD). We fit a Poisson regression model using 2013 SARA data from 196 Ugandan health facilities. The outcome was total number of different EM-NCD available. Basic amenities, equipment, region, health facility type, managing authority, NCD diagnostic capacity, and range of HIV services were tested as predictor variables. In multivariate models, we found significant associations between EM-NCD availability and region, managing authority, facility type, and range of HIV services. For-profit facilities’ EM-NCD counts were 98% higher than public facilities (p < .001). General hospitals and referral health centers had 98% (p = .004) and 105% (p = .002) higher counts compared to primary health centers. Facilities in the North and East had significantly lower counts than those in the capital region (p = 0.015; p = 0.003). Offering HIV care was associated with 35% lower EM-NCD counts (p = 0.006). Offering HIV counseling and testing was associated with 57% higher counts (p = 0.048). We identified multiple within-country disparities in availability of EM-NCD in Uganda. Our findings can be used to identify gaps and guide distribution of limited resources. While the primary purpose of SARA is to assess and monitor health services readiness, we show that it can also be an important resource for answering complex research and policy questions requiring multivariate analysis.

6 November 2017 in PLOS ONE
Verified
Journal Article
Open access
PDF file
MAMari Armstrong-Hough
Mari Armstrong-Hough
PTPatricia Turimumahoro
Patricia Turimumahoro
AMAmanda J. Meyer
Amanda J. Meyer
EOEmmanuel Ochom
Emmanuel Ochom
DBDiana Babirye
Diana Babirye
JDJ. Lucian Davis
J. Lucian Davis
Seven public tuberculosis (TB) units in Kampala, Uganda, where Uganda’s national TB program recently introduced household contact investigation, as recommended by 2012 guidelines from WHO. To apply a cascade analysis to implementation of household contact investigation in a programmatic setting. Prospective, multi-center observational study. We constructed a cascade for household contact investigation to describe the proportions of: 1) index patient households recruited; 2) index patient households visited; 3) contacts screened for TB; and 4) contacts completing evaluation for, and diagnosed with, active TB. 338 (33%) of 1022 consecutive index TB patients were eligible for contact investigation. Lay health workers scheduled home visits for 207 (61%) index patients and completed 104 (50%). Among 287 eligible contacts, they screened 256 (89%) for symptoms or risk factors for TB. 131 (51%) had an indication for further TB evaluation. These included 59 (45%) with symptoms alone, 58 (44%) children <5, and 14 (11%) with HIV. Among 131 contacts found to be symptomatic or at risk, 26 (20%) contacts completed evaluation, including five (19%) diagnosed with and treated for active TB, for an overall yield of 1.7%. The cumulative conditional probability of completing the entire cascade was 5%. Major opportunities exist for improving the effectiveness and yield of TB contact investigation by increasing the proportion of index households completing screening visits by lay health workers and the proportion of at-risk contacts completing TB evaluation.

23 December 2020 in PLOS ONE
Verified
Journal Article
Open access
PDF file
MAMari Armstrong-Hough
Mari Armstrong-Hough
SSSrish Sharma
Srish Sharma
SKSandeep P. Kishore
Sandeep P. Kishore
AAAnn R. Akiteng
Ann R. Akiteng
JSJeremy I. Schwartz
Jeremy I. Schwartz
Background: Availability of essential medicines for non-communicable diseases (NCDs) is poor in low- and middle-income countries. Availability and cost are conventionally assessed using cross-sectional data. However, these characteristics may vary over time. Methods: We carried out a prospective, descriptive analysis of the availability and cost of essential medicines in 23 Ugandan health facilities over a five-week period. We surveyed facility pharmacies in-person up to five times, recording availability and cost of 19 essential medicines for NCDs and four essential medicines for communicable diseases. Results: Availability of medicines varied substantially over time, especially among public facilities. Among private-for-profit facilities, the cost of the same medicine varied from week to week. Private-not-for-profit facilities experienced less dramatic fluctuations in price. Conclusions: We conclude that there is a need for standardized, continuous monitoring to better characterize the availability and cost of essential medicines, understand demand for these medicines, and reduce uncertainty for patients.

15 November 2018 in Journal of Medical Internet Research
Verified
Journal Article
Open access
EWElizabeth B White
Elizabeth B White
AMAmanda J Meyer
Amanda J Meyer
JGJoseph M Ggita
Joseph M Ggita
DBDiana Babirye
Diana Babirye
DMDavid Mark
David Mark
JDJ. Lucian Davis
J. Lucian Davis
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

10 March 2022 in Implementation Science Communications
Verified
Journal Article
Open access
PDF file
RHRachel Hennein
Rachel Hennein
JGJoseph M. Ggita
Joseph M. Ggita
PTPatricia Turimumahoro
Patricia Turimumahoro
EOEmmanuel Ochom
Emmanuel Ochom
AGAmanda J. Gupta
Amanda J. Gupta
JDJ. Lucian Davis
J. Lucian Davis
Background: Communities of Practice (CoPs) offer an accessible strategy for healthcare workers to improve the quality of care through knowledge sharing. However, not enough is known about which components of CoPs are core to facilitating behavior change. Therefore, we carried out a qualitative study to address these important gaps in the literature on CoPs and inform planning for an interventional study of CoPs. Methods: We organized community health workers (CHWs) from two tuberculosis (TB) clinics in Kampala, Uganda, into a CoP from February to June 2018. We conducted interviews with CoP members to understand their perceptions of how the CoP influenced delivery of TB contact investigation. Using an abductive approach, we first applied inductive codes characterizing CHWs’ perceptions of how the CoP activities affected their delivery of contact investigation. We then systematically mapped these codes into their functional categories using the Behavior Change Technique (BCT) Taxonomy and the Behavior Change Wheel framework. We triangulated all interview findings with detailed field notes. Results: All eight members of the CoP agreed to participate in the interviews. CHWs identified five CoP activities as core to improving the quality of their work: (1) individual review of feedback reports, (2) collaborative improvement meetings, (3) real-time communications among members, (4) didactic education sessions, and (5) clinic-wide staff meetings. These activities incorporated nine different BCTs and five distinct intervention functions. CHWs reported that these activities provided a venue for them to share challenges, exchange knowledge, engage in group problem solving, and benefit from social support. CHWs also explained that they felt a shared sense of ownership of the CoP, which motivated them to propose and carry out innovations. CHWs described that the CoP strengthened their social and professional identities within and outside the group, and improved their self-efficacy. Conclusions: We identified the core components and several mechanisms through which CoPs may improve CHW performance. Future studies should evaluate the importance of these mechanisms in mediating the effects of CoPs on program effectiveness.