Authors:
Cara L. McDermott, Ruth A. Engelberg, and J. Randall Curtis
University of Washington affiliated authors are displayed in bold.
Subscription Required for Full Text Access
Published: April 2020
Cara L. McDermott, Ruth A. Engelberg, and J. Randall Curtis
University of Washington affiliated authors are displayed in bold.
Published: April 2020
Daniel S Hippe, Rachel A Umoren, Alex McGee, Sherri L Bucher, Brian W Bresnahan
University of Washington affiliated authors are displayed in bold.
Published: March 2020
Over the past two decades, there has been an increase in the use of simulation-based education for training healthcare providers in technical and non-technical skills. Simulation education and research programs have mostly focused on the impact on clinical knowledge and improvement of technical skills rather than on cost. To study and characterize existing evidence to inform multi-stakeholder investment decisions, we performed a systematic review of the literature on costs in simulation-based education in medicine in general and in neonatal resuscitation as a particular focus.
We conducted a systematic literature search of the PubMed database using two targeted queries. The first searched for cost analyses of healthcare simulation-based education more broadly, and the second was more narrowly focused on cost analyses of neonatal resuscitation training. The more general query identified 47 qualified articles. The most common specialties for education interventions were surgery (51%); obstetrics, gynecology, or pediatrics (11%); medicine, nursing, or medical school (11%); and urology (9%), accounting for over 80% of articles. The neonatal resuscitation query identified five qualified articles. The two queries identified seven large-scale training implementation studies, one in the United States and six in low-income countries. There were two articles each from Tanzania and India and one article each from Zambia and Ghana. Methods, definitions, and reported estimates varied across articles, implying interpretation, comparison, and generalization of program effects are challenging.
More work is needed to understand the costs, processes, and outcomes likely to make simulation-based education programs cost-effective and scalable. To optimize return on investments in training, assessing resource requirements, associated costs, and subsequent outcomes can inform stakeholders about the potential sustainability of SBE programs. Healthcare stakeholders and decision makers will benefit from more transparent, consistent, rigorous, and explicit assessments of simulation-based education program development and implementation costs in low- and high-income countries.
**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**
Martha J. Aby
University of Washington affiliated authors are displayed in bold.
Published: March 2020
Lúcia Vieira, Arlete Miloque Mahumane, Manuel Napua, Falume Chale, João Luís Manuel, Jessica Greenberg Cowan, Kenneth Sherr, Rachel R. Chapman & James T. Pfeiffer
University of Washington affiliated authors are displayed in bold.
Published: March 2020
Early infant diagnosis (EID) of HIV-exposed and initiation of HIV-positive infants on anti-retroviral therapy (ART) requires a well-coordinated cascade of care. Loss-to-follow-up (LTFU) can occur at multiple steps and effective EID is impeded by human resource constraints, difficulty with patient tracking, and long waiting periods. The objective of this research was to conduct formative research to guide the development of an intervention to improve the pediatric HIV care cascade in central Mozambique. The study was conducted in Manica and Sofala Provinces where the adult HIV burden is higher than the national average. The research focused on 3 large clinics in each province, along the highly populated Beira corridor.
The research was conducted in 2014 over 3 months at six facilities and consisted of 1) patient flow mapping and collection of health systems data from postpartum, child-at-risk, and ART service registries, 2) measurement of clinic waiting times, and 3) patient and health worker focus groups.
HIV testing and ART initiation coverage for mothers tends to be high, but EID and pediatric ART initiation are hampered by lack of patient tracking, long waiting times, and inadequate counseling to navigate the care cascade. About 76% of HIV-positive infants were LTFU and did not initiate ART.
Effective interventions to reduce LTFU in EID and improve pediatric ART initiation should focus on patient tracking, active follow-up of defaulting patients, reduction in EID turn-around times for PCR results, and initiation of ART by nurses in child-at-risk services.
Retrospectively registered, ISRCTN67747315, July 24, 2019.
**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**
J. Andrew Dykens, Jennifer S. Smith, Margaret Demment, E. Marshall, Tina Schuh, Karen Peters, Tracy Irwin, Scott McIntosh, Angela Sy & Timothy Dye
University of Washington affiliated authors are displayed in bold.
Published: March 2020
Cervical cancer disproportionately burdens low-resource populations where access to quality screening services is limited. A greater understanding of sustainable approaches to implement cervical cancer screening services is needed.
We conducted a systematized literature review of evaluations from cervical cancer screening programs implemented in resource-limited settings globally that included a formal evaluation and intention of program sustainment over time. We categorized the included studies using the continuum of implementation research framework which categorizes studies progressively from “implementation light” to more implementation intensive.
Fifty-one of 13,330 initially identified papers were reviewed with most study sites in low-resource settings of middle-income countries (94.1%) ,while 9.8% were in low-income countries. Across all studies, visual inspection of the cervix with acetic acid (58.8%) was the most prevalent screening method followed by cytology testing (39.2%). Demand-side (client and community) considerations were reported in 86.3% of the articles, while 68.6% focused scientific inquiry on the supply side (health service). Eighteen articles (35.3%) were categorized as “Informing Scale-up” along the continuum of implementation research.
The number of cervical cancer screening implementation reports is limited globally, especially in low-income countries. The 18 papers we classified as Informing Scale-up provide critical insights for developing programs relevant to implementation outcomes. We recommend that program managers report lessons learnt to build collective implementation knowledge for cervical cancer screening services, globally.
**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**
Arianna Rubin Means, Christopher G. Kemp, Marie-Claire Gwayi-Chore, Sarah Gimbel, Caroline Soi, Kenneth Sherr, Bradley H. Wagenaar, Judith N. Wasserheit, & Bryan J. Weiner
University of Washington affiliated authors are displayed in bold.
Published: March 2020
The Consolidated Framework for Implementation Research (CFIR) is a determinants framework that may require adaptation or contextualization to fit the needs of implementation scientists in low- and middle-income countries (LMICs). The purpose of this review is to characterize how the CFIR has been applied in LMIC contexts, to evaluate the utility of specific constructs to global implementation science research, and to identify opportunities to refine the CFIR to optimize utility in LMIC settings.
A systematic literature review was performed to evaluate the use of the CFIR in LMICs. Citation searches were conducted in Medline, CINAHL, PsycINFO, CINAHL, SCOPUS, and Web of Science. Data abstraction included study location, study design, phase of implementation, manner of implementation (ex., data analysis), domains and constructs used, and justifications for use, among other variables. A standardized questionnaire was sent to the corresponding authors of included studies to determine which CFIR domains and constructs authors found to be compatible with use in LMICs and to solicit feedback regarding ways in which CFIR performance could be improved for use in LMICs.
Our database search yielded 504 articles, of which 34 met final inclusion criteria. The studies took place across 21 countries and focused on 18 different health topics. The studies primarily used qualitative study designs (68%). Over half (59%) of the studies applied the CFIR at study endline, primarily to guide data analysis or to contextualize study findings. Nineteen (59%) of the contacted authors participated in the survey. Authors unanimously identified culture and engaging as compatible with use in global implementation research. Only two constructs, patient needs and resources and individual stages of change were commonly identified as incompatible with use. Author feedback centered on team level influences on implementation, as well as systems characteristics, such as health system architecture. We propose a “Characteristics of Systems” domain and eleven novel constructs be added to the CFIR to increase its compatibility for use in LMICs.
These additions provide global implementation science practitioners opportunities to account for systems-level determinants operating independently of the implementing organization. Newly proposed constructs require further reliability and validity assessments.
PROSPERO, CRD42018095762
**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**
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.
Published: March 2020
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.
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.
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.
Registered 09/13/2019; NCT04088656).
**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**
Bradley H. Wagenaar, Wilson H. Hammett, Courtney Jackson, Dana L. Atkins, Jennifer M. Belus, and Christopher G. Kemp
University of Washington affiliated authors are displayed in bold.
Published: March 2020
We systematically reviewed implementation research targeting depression interventions in low- and middle-income countries (LMICs) to assess gaps in methodological coverage.
PubMed, CINAHL, PsycINFO, and EMBASE were searched for evaluations of depression interventions in LMICs reporting at least one implementation outcome published through March 2019.
A total of 8714 studies were screened, 759 were assessed for eligibility, and 79 studies met inclusion criteria. Common implementation outcomes reported were acceptability (n = 50; 63.3%), feasibility (n = 28; 35.4%), and fidelity (n = 18; 22.8%). Only four studies (5.1%) reported adoption or penetration, and three (3.8%) reported sustainability. The Sub-Saharan Africa region (n = 29; 36.7%) had the most studies. The majority of studies (n = 59; 74.7%) reported outcomes for a depression intervention implemented in pilot researcher-controlled settings. Studies commonly focused on Hybrid Type-1 effectiveness-implementation designs (n = 53; 67.1), followed by Hybrid Type-3 (n = 16; 20.3%). Only 21 studies (26.6%) tested an implementation strategy, with the most common being revising professional roles (n = 10; 47.6%). The most common intervention modality was individual psychotherapy (n = 30; 38.0%). Common study designs were mixed methods (n = 27; 34.2%), quasi-experimental uncontrolled pre-post (n = 17; 21.5%), and individual randomized trials (n = 16; 20.3).
Existing research has focused on early-stage implementation outcomes. Most studies have utilized Hybrid Type-1 designs, with the primary aim to test intervention effectiveness delivered in researcher-controlled settings. Future research should focus on testing and optimizing implementation strategies to promote scale-up of evidence-based depression interventions in routine care. These studies should use high-quality pragmatic designs and focus on later-stage implementation outcomes such as cost, penetration, and sustainability.
**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**
Joyonna Carrie Gamble-George, Christopher T. Longenecker, Allison R. Webel, David H. Au, Arleen F. Brown, Hayden Bosworth, Kristina Crothers, William E. Cunningham, Kevin A. Fiscella, Alison B. Hamilton, Christian D. Helfrich, Joseph A. Ladapo, Amneris Luque, Jonathan N. Tobin, Gail E. Wyatt, Implementation Research to Develop Interventions for People Living with HIV (PRECluDE) Consortium
University of Washington affiliated authors are displayed in bold.
Published: March 2020
Emanuel Krebs, Xiao Zang, Benjamin Enns, Jeong E. Min, Czarina N. Behrends, Carlos del Rio, Julia C. Dombrowski, Daniel J. Feaster, Kelly A. Gebo, Matthew Golden, Brandon D.L. Marshall, Lisa R. Metsch, Bruce R. Schackman, Steven Shoptaw, Steffanie A. Strathdee, Bohdan Nosyk on behalf of the Localized Economic Modeling Study Group
University of Washington affiliated authors are displayed in bold.
Published: March 2020