CFIR Archives - Page 10 of 11 - Implementation Science at UW

✪ Longitudinal Remote Coaching for Implementation of Perinatal Collaborative Care: A Mixed-Methods Analysis

Abstract:

The collaborative care model (CoCM) is a multicomponent, team-based integrated behavioral health framework. Its effectiveness in the treatment of perinatal depression is established, but implementation has been limited. The authors used longitudinal remote coaching (LRC) as a novel implementation strategy to support systematic case review in a multistate cluster-randomized trial of CoCM for perinatal depression. They describe LRC for perinatal CoCM in three clinics and use of a mixed-methods analysis of data from LRC feedback forms and interviews with participants. LRC is a scalable implementation strategy with potential to support complex models of integrated behavioral health, such as perinatal CoCM.

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

✪ The role of the outer setting in implementation: associations between state demographic, fiscal, and policy factors and use of evidence-based treatments in mental healthcare

Abstract:

Background

Despite consistent recognition of their influence, empirical study of how outer setting factors (e.g., policies, financing, stakeholder relationships) influence public systems’ investment in and adoption of evidence-based treatment (EBT) is limited. This study examined associations among unmodifiable (e.g., demographic, economic, political, structural factors) and modifiable (e.g., allocation of resources, social processes, policies, and regulations) outer setting factors and adoption of behavioral health EBT by US states.

Methods

Multilevel models examined relationships between state characteristics, an array of funding and policy variables, and state adoption of behavioral health EBTs for adults and children across years 2002–2012, using data from the National Association for State Mental Health Program Directors Research Institute and other sources.

Results

Several unmodifiable state factors, including per capita income, controlling political party, and Medicaid expansion, predicted level of state fiscal investments in EBT. By contrast, modifiable factors, such as interagency collaboration and investment in research centers, were more predictive of state policies supportive of EBT. Interestingly, level of adult EBT adoption was associated with state fiscal supports for EBT, while child EBT adoption was predicted more by supportive policies. State per capita debt and direct state operation of services (versus contracting for services) predicted both child and adult EBT adoption.

Conclusions

State-level EBT adoption and associated implementation support is associated with an interpretable array of policy, financing, and oversight factors. Such information expands our knowledge base of the role of the outer setting in implementation and may provide insight into how best to focus efforts to promote EBT for behavioral health disorders.

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

✪ Advancing the use of organization theory in implementation science

✪ 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

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**}

Understanding the processes that Federally Qualified Health Centers use to select and implement colorectal cancer screening interventions: A qualitative study

✪ Human papillomavirus vaccine delivery in Mozambique: Identification of implementation performance drivers using the Consolidated Framework for Implementation Research (CFIR)

Abstract:

Background

Since 2012 Gavi, the Vaccine Alliance has provided financial support for HPV vaccine introduction in low- and middle-income countries (LMICs); however, funding has been contingent on establishing a demonstration project prior to national scale-up, in order to gauge effectiveness of delivery models. Although by 2016, most beneficiary countries had completed demonstration projects, few have scaled up delivery nationwide. An important barrier was the dearth of published, country-specific implementation recommendations. We employed the Consolidated Framework for Implementation Research (CFIR) as a lens to identify drivers of heterogeneous (dissimilar) implementation performance during Mozambique’s 2-year demonstration project. Mozambique presents a compelling example as the country conducted demonstration projects in three different districts with extremely different economic resources and sociocultural practices.

Methods

A post implementation interpretive evaluation was undertaken. Forty key informant interviews were conducted with district and health facility immunization staff, Ministry of Education managers, and teachers across the three demonstration districts, central level informants from MOH, research institutes, and immunization program partners. We compared valence and strength ratings of CFIR constructs, across diverse implementation sites, so as to explain drivers and barriers to implementation success. Two researchers coded separately, and subsequent content analysis followed pre-defined CFIR construct themes.

Results

Eighteen constructs emerged from informants’ responses as implementation influencers. Adaptability was identified as an important construct because delivery modalities needed to meet differing levels of girls’ school attendance. Expanding outside of school-based delivery was needed in the low-performing district, making the vaccine delivery process more complex. Available resources varied across the three sites, with one site receiving direct Gavi support, while others received primarily state-based support. These latter sites reported considerably more implementation bottlenecks, in part related to weaker infrastructural characteristics and insufficient organizational incentives. Health workers’ beliefs in importance of vaccines and an organizational culture of making personal sacrifice for immunization program activities drove implementation performance. Advocacy and social mobilization through the right opinion leaders and champions generated higher demand.

Conclusion

HPV vaccination presents a pertinent opportunity for the prevention of cervical cancer in Mozambique, sub-Saharan Africa, and other LMICs. However, important barriers to broad-scale implementation exist. We recommend the development of local and global strategies to overcome barriers and facilitate its expanded utilization.

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

Measuring Constructs of the Consolidated Framework for Implementation Research in the Context of Increasing Colorectal Cancer Screening in Federally Qualified Health Center

✪ Scale up of PrEP integrated in public health HIV care clinics: a protocol for a stepped-wedge cluster-randomized rollout in Kenya

Authors:

Kenneth K. Mugwanya, Elizabeth Irungu, Elizabeth Bukusi, Nelly R. Mugo, Josephine Odoyo, Elizabeth Wamoni, Kenneth Ngure, Jennifer F. Morton, Kathryn Peebles, Sarah Masyuko, Gena Barnabee, Deborah Donnell, Ruanne Barnabas, Jessica Haberer, Gabrielle O’Malley, and Jared M. Baeten, for the Partners Scale Up Team

^{University of Washington affiliated authors are displayed in bold.}

✪ Open Access

Published: September 2018

Read the full text in the open access journal Implementation Science

Abstract:

Background

Antiretroviral therapy (ART) for HIV-infected persons and pre-exposure prophylaxis (PrEP) for uninfected persons are extraordinarily effective strategies for HIV prevention. In Africa, the region which shoulders the highest HIV burden, HIV care is principally delivered through public health HIV care clinics, offering an existing platform to incorporate PrEP delivery and maximize ART and PrEP synergies. However, successfully bringing this integrated approach to scale requires an implementation science evaluation in public health settings.

Methods

The Partners Scale Up Project is a prospective, pragmatic implementation evaluation, designed as a stepped-wedge, cluster-randomized trial, operating at 24 clinics in Kenya. In collaboration with the Kenya Ministry of Health, we are catalyzing scaled implementation of PrEP delivery integrated in HIV care clinics. The intervention package includes staff training, clinic streamlined access to PrEP commodity from the Kenya Medical Supply Authority, and ongoing intensive technical assistance to rigorously assess how PrEP delivery is implemented. PrEP service delivery including retention efforts are conducted by the clinic staff with no additional resources from the project. Guided by the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework and Consolidated Framework for Implementation Science Research, project progress and learning are documented through ongoing monitoring and process evaluations, including chart abstraction and individual and key informant interviews, to evaluate pragmatic rollout and understand barriers and facilitators for successful PrEP delivery in this setting. In this staged rollout design, each step provides data for both pre-implementation (baseline) and implementation periods, and we will compare time points across steps in the baseline versus implementation periods.

Discussion

Cost-effective delivery models are urgently needed to maximize the public health impact of PrEP and ART. The Partners Scale Up Project will set the stage for full-scale PrEP implementation fully run and owned by the Kenya Ministry of Health. The work combines nationally sponsored PrEP delivery with technical support and implementation science from academic partners, defining a new but sustainable paradigm for public health collaboration.

Trial registration

Registered with ClinicalTrials.gov on February 14, 2017:NCT03052010.

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

✪ Successful Deployment of High Flow Nasal Cannula in a Peruvian Pediatric Intensive Care Unit Using Implementation Science—Lessons Learned

Abstract:

Acute lower respiratory infections are the leading cause of death outside the neonatal period for children less than 5 years of age. Widespread availability of invasive and non-invasive mechanical ventilation in resource-rich settings has reduced mortality rates; however, these technologies are not always available in many low- and middle-income countries due to the high cost and trained personnel required to implement and sustain their use. High flow nasal cannula (HFNC) is a form of non-invasive respiratory support with growing evidence for use in pediatric respiratory failure. Its simple interface makes utilization in resource-limited settings appealing, although widespread implementation in these settings lags behind resource-rich settings. Implementation science is an emerging field dedicated to closing the know-do gap by incorporating evidence-based interventions into routine care, and its principles have guided the scaling up of many global health interventions. In 2016, we introduced HFNC use for respiratory failure in a pediatric intensive care unit in Lima, Peru using implementation science methodology. Here, we review our experience in the context of the principles of implementation science to serve as a guide for others considering HFNC implementation in resource-limited settings.

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

✪ Developing measures to assess constructs from the Inner Setting domain of the Consolidated Framework for Implementation Research

Abstract:

Background

Scientists and practitioners alike need reliable, valid measures of contextual factors that influence implementation. Yet, few existing measures demonstrate reliability or validity. To meet this need, we developed and assessed the psychometric properties of measures of several constructs within the Inner Setting domain of the Consolidated Framework for Implementation Research (CFIR).

Methods

We searched the literature for existing measures for the 7 Inner Setting domain constructs (Culture Overall, Culture Stress, Culture Effort, Implementation Climate, Learning Climate, Leadership Engagement, and Available Resources). We adapted items for the healthcare context, pilot-tested the adapted measures in 4 Federally Qualified Health Centers (FQHCs), and implemented the revised measures in 78 FQHCs in the 7 states (N = 327 respondents) with a focus on colorectal cancer (CRC) screening practices. To psychometrically assess our measures, we conducted confirmatory factor analysis models (CFA; structural validity), assessed inter-item consistency (reliability), computed scale correlations (discriminant validity), and calculated inter-rater reliability and agreement (organization-level construct reliability and validity).

Results

CFAs for most constructs exhibited good model fit (CFI > 0.90, TLI > 0.90, SRMR < 0.08, RMSEA < 0.08), with almost all factor loadings exceeding 0.40. Scale reliabilities ranged from good (0.7 ≤ α < 0.9) to excellent (α ≥ 0.9). Scale correlations fell below 0.90, indicating discriminant validity. Inter-rater reliability and agreement were sufficiently high to justify measuring constructs at the clinic-level.

Conclusions

Our findings provide psychometric evidence in support of the CFIR Inner Setting measures. Our findings also suggest the Inner Setting measures from individuals can be aggregated to represent the clinic-level. Measurement of the Inner Setting constructs can be useful in better understanding and predicting implementation in FQHCs and can be used to identify targets of strategies to accelerate and enhance implementation efforts in FQHCs.

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

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✪ Open Access

Read the full text in the open access journal Psychiatric Services

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✪ Open Access

Read the full text in the open access journal Implementation Science

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✪ Open Access

Read the full text open access in the journal Preventive Medicine

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✪ Open Access

Read the full text in the open access journal Implementation Science

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Subscription Required for Full Text Access

Read the full text in the subscription access journal Translational Behavioral Medicine

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Read the full text in the open access journal Implementation Science

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Read the full text in the subscription access journal Health Services Research

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✪ Open Access

Read the full text in the open access journal Implementation Science

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✪ Open Access

Read the full text in the open access journal Frontiers in Pediatrics

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✪ Open Access

Read the full text in the open access journal Implementation Science

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