UW First Author Archives - Page 21 of 23 - Implementation Science at UW

✪ The impact of inter-organizational alignment (IOA) on implementation outcomes: evaluating unique and shared organizational influences in education sector mental health

Abstract:

Background

Integrated healthcare delivered by work groups in nontraditional service settings is increasingly common, yet contemporary implementation frameworks typically assume a single organization—or organizational unit—within which system-level processes influence service quality and implementation success. Recent implementation frameworks predict that inter-organizational alignment (i.e., similarity in values, characteristics, activities related to implementation across organizations) may facilitate the implementation of evidence-based practices (EBP), but few studies have evaluated this premise. This study’s aims examine the impact of overlapping organizational contexts by evaluating the implementation contexts of externally employed mental health clinicians working in schools—the most common integrated service delivery setting for children and adolescents. Aim 1 is to estimate the effects of unique intra-organizational implementation contexts and combined inter-organizational alignment on implementation outcomes. Aim 2 is to examine the underlying mechanisms through which inter-organizational alignment facilitates or hinders EBP implementation.

Methods/design

This study will conduct sequential, exploratory mixed-methods research to evaluate the intra- and inter-organizational implementation contexts of schools and the external community-based organizations that most often employ school-based mental health clinicians, as they relate to mental health EBP implementation. Aim 1 will involve quantitative surveys with school-based, externally-employed mental health clinicians, their supervisors, and proximal school-employed staff (total n = 120 participants) to estimate the effects of each organization’s general and implementation-specific organizational factors (e.g., climate, leadership) on implementation outcomes (fidelity, acceptability, appropriateness) and assess the moderating role of the degree of clinician embeddedness in the school setting. Aim 2 will explore the mechanisms through which inter-organizational alignment influences implementation outcomes by presenting the results of Aim 1 surveys to school-based clinicians (n = 30) and conducting semi-structured qualitative interviews. Qualitative data will be evaluated using an integrative inductive and deductive approach.

Discussion

The study aims are expected to identify intra- and inter-organizational constructs that are most instrumental to EBP implementation success in school-based integrated care settings and illuminate mechanisms that may account for the influence of inter-organizational alignment. In addition to improving school-based mental health, these findings will spur future implementation science that considers the relationships across organizations and optimize the capacity of implementation science to guide practice in increasingly complex systems of care.

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

✪ Objective coding of content and techniques in workplace-based supervision of an EBT in public mental health

Abstract:

Background

Workplace-based clinical supervision as an implementation strategy to support evidence-based treatment (EBT) in public mental health has received limited research attention. A commonly provided infrastructure support, it may offer a relatively cost-neutral implementation strategy for organizations. However, research has not objectively examined workplace-based supervision of EBT and specifically how it might differ from EBT supervision provided in efficacy and effectiveness trials.

Methods

Data come from a descriptive study of supervision in the context of a state-funded EBT implementation effort. Verbal interactions from audio recordings of 438 supervision sessions between 28 supervisors and 70 clinicians from 17 public mental health organizations (in 23 offices) were objectively coded for presence and intensity coverage of 29 supervision strategies (16 content and 13 technique items), duration, and temporal focus. Random effects mixed models estimated proportion of variance in content and techniques attributable to the supervisor and clinician levels.

Results

Interrater reliability among coders was excellent. EBT cases averaged 12.4 min of supervision per session. Intensity of coverage for EBT content varied, with some discussed frequently at medium or high intensity (exposure) and others infrequently discussed or discussed only at low intensity (behavior management; assigning/reviewing client homework). Other than fidelity assessment, supervision techniques common in treatment trials (e.g., reviewing actual practice, behavioral rehearsal) were used rarely or primarily at low intensity. In general, EBT content clustered more at the clinician level; different techniques clustered at either the clinician or supervisor level.

Conclusions

Workplace-based clinical supervision may be a feasible implementation strategy for supporting EBT implementation, yet it differs from supervision in treatment trials. Time allotted per case is limited, compressing time for EBT coverage. Techniques that involve observation of clinician skills are rarely used. Workplace-based supervision content appears to be tailored to individual clinicians and driven to some degree by the individual supervisor. Our findings point to areas for intervention to enhance the potential of workplace-based supervision for implementation effectiveness.

Trial registration

NCT01800266, Clinical Trials, Retrospectively Registered (for this descriptive study; registration prior to any intervention [part of phase II RCT, this manuscript is only phase I descriptive results])
^{**This abstract is posted with permission under the Creative Commons Attribution 4.0 International License**}

✪ Evaluating the sustainability, scalability, and replicability of an STH transmission interruption intervention: The DeWorm3 implementation science protocol

Authors:

Arianna Rubin Means, Sitara S. R. Ajjampur, Robin Bailey, Katya Galactionova, Marie-Claire Gwayi-Chore, Katherine Halliday, Moudachirou Ibikounle, Sanjay Juvekar, Khumbo Kalua, Gagandeep Kang, Pallavi Lele, Adrian J. F. Luty, Rachel Pullan, Rajiv Sarkar, Fabian Schär, Fabrizio Tediosi, Bryan J. Weiner, Elodie Yard, & Judd Walson, on behalf of the DeWorm3 Implementation Science Team

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

✪ Open Access

Published: January 2018

Read the full text in the open access journal PLOS: Neglected Tropical Diseases

Measuring health systems strength and its impact: experiences from the African Health Initiative

Abstract:

Background

Health systems are essential platforms for accessible, quality health services, and population health improvements. Global health initiatives have dramatically increased health resources; however, funding to strengthen health systems has not increased commensurately, partially due to concerns about health system complexity and evidence gaps demonstrating health outcome improvements. In 2009, the African Health Initiative of the Doris Duke Charitable Foundation began supporting Population Health Implementation and Training Partnership projects in five sub-Saharan African countries (Ghana, Mozambique, Rwanda, Tanzania, and Zambia) to catalyze significant advances in strengthening health systems. This manuscript reflects on the experience of establishing an evaluation framework to measure health systems strength, and associate measures with health outcomes, as part of this Initiative.

Methods

Using the World Health Organization’s health systems building block framework, the Partnerships present novel approaches to measure health systems building blocks and summarize data across and within building blocks to facilitate analytic procedures. Three Partnerships developed summary measures spanning the building blocks using principal component analysis (Ghana and Tanzania) or the balanced scorecard (Zambia). Other Partnerships developed summary measures to simplify multiple indicators within individual building blocks, including health information systems (Mozambique), and service delivery (Rwanda). At the end of the project intervention period, one to two key informants from each Partnership’s leadership team were asked to list – in rank order – the importance of the six building blocks in relation to their intervention.

Results

Though there were differences across Partnerships, service delivery and information systems were reported to be the most common focus of interventions, followed by health workforce and leadership and governance. Medical products, vaccines and technologies, and health financing, were the building blocks reported to be of lower focus.

Conclusion

The African Health Initiative experience furthers the science of evaluation for health systems strengthening, highlighting areas for further methodological development – including the development of valid, feasible measures sensitive to interventions in multiple contexts (particularly in leadership and governance) and describing interactions across building blocks; in developing summary statistics to facilitate testing intervention effects on health systems and associations with health status; and designing appropriate analytic models for complex, multi-level open health systems.

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

✪ Improving data quality across 3 sub-Saharan African countries using the Consolidated Framework for Implementation Research (CFIR): results from the African Health Initiative

Abstract:

Background

High-quality data are critical to inform, monitor and manage health programs. Over the seven-year African Health Initiative of the Doris Duke Charitable Foundation, three of the five Population Health Implementation and Training (PHIT) partnership projects in Mozambique, Rwanda, and Zambia introduced strategies to improve the quality and evaluation of routinely-collected data at the primary health care level, and stimulate its use in evidence-based decision-making. Using the Consolidated Framework for Implementation Research (CFIR) as a guide, this paper: 1) describes and categorizes data quality assessment and improvement activities of the projects, and 2) identifies core intervention components and implementation strategy adaptations introduced to improve data quality in each setting.

Methods

The CFIR was adapted through a qualitative theme reduction process involving discussions with key informants from each project, who identified two domains and ten constructs most relevant to the study aim of describing and comparing each country’s data quality assessment approach and implementation process. Data were collected on each project’s data quality improvement strategies, activities implemented, and results via a semi-structured questionnaire with closed and open-ended items administered to health management information systems leads in each country, with complementary data abstraction from project reports.

Results

Across the three projects, intervention components that aligned with user priorities and government systems were perceived to be relatively advantageous, and more readily adapted and adopted. Activities that both assessed and improved data quality (including data quality assessments, mentorship and supportive supervision, establishment and/or strengthening of electronic medical record systems), received higher ranking scores from respondents.

Conclusion

Our findings suggest that, at a minimum, successful data quality improvement efforts should include routine audits linked to ongoing, on-the-job mentoring at the point of service. This pairing of interventions engages health workers in data collection, cleaning, and analysis of real-world data, and thus provides important skills building with on-site mentoring. The effect of these core components is strengthened by performance review meetings that unify multiple health system levels (provincial, district, facility, and community) to assess data quality, highlight areas of weakness, and plan improvements.

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

✪ Stepped-Wedge Cluster Randomized Controlled Trial to Promote Option B+ Retention in Central Mozambique

Intentional research design in implementation science: Implications for the use of nomothetic and idiographic assessment

✪ Psychometric assessment of three newly developed implementation outcome measures

Abstract:

Background

Implementation outcome measures are essential for monitoring and evaluating the success of implementation efforts. Yet, currently available measures lack conceptual clarity and have largely unknown reliability and validity. This study developed and psychometrically assessed three new measures: the Acceptability of Intervention Measure (AIM), Intervention Appropriateness Measure (IAM), and Feasibility of Intervention Measure (FIM).

Methods

Thirty-six implementation scientists and 27 mental health professionals assigned 31 items to the constructs and rated their confidence in their assignments. The Wilcoxon one-sample signed rank test was used to assess substantive and discriminant content validity. Exploratory and confirmatory factor analysis (EFA and CFA) and Cronbach alphas were used to assess the validity of the conceptual model. Three hundred twenty-six mental health counselors read one of six randomly assigned vignettes depicting a therapist contemplating adopting an evidence-based practice (EBP). Participants used 15 items to rate the therapist’s perceptions of the acceptability, appropriateness, and feasibility of adopting the EBP. CFA and Cronbach alphas were used to refine the scales, assess structural validity, and assess reliability. Analysis of variance (ANOVA) was used to assess known-groups validity. Finally, half of the counselors were randomly assigned to receive the same vignette and the other half the opposite vignette; and all were asked to re-rate acceptability, appropriateness, and feasibility. Pearson correlation coefficients were used to assess test-retest reliability and linear regression to assess sensitivity to change.

Results

All but five items exhibited substantive and discriminant content validity. A trimmed CFA with five items per construct exhibited acceptable model fit (CFI = 0.98, RMSEA = 0.08) and high factor loadings (0.79 to 0.94). The alphas for 5-item scales were between 0.87 and 0.89. Scale refinement based on measure-specific CFAs and Cronbach alphas using vignette data produced 4-item scales (α’s from 0.85 to 0.91). A three-factor CFA exhibited acceptable fit (CFI = 0.96, RMSEA = 0.08) and high factor loadings (0.75 to 0.89), indicating structural validity. ANOVA showed significant main effects, indicating known-groups validity. Test-retest reliability coefficients ranged from 0.73 to 0.88. Regression analysis indicated each measure was sensitive to change in both directions.

Conclusions

The AIM, IAM, and FIM demonstrate promising psychometric properties. Predictive validity assessment is planned.

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

✪ Using Practice Facilitation to Increase Rates of Colorectal Cancer Screening in Community Health Centers, North Carolina, 2012-2013: Feasibility, Facilitators, and Barriers

Abstract:

Introduction

Practice facilitation involves trained individuals working with practice staff to conduct quality improvement activities and support delivery of evidence-based clinical services. We examined the feasibility of using practice facilitation to assist federally qualified health centers (FQHCs) to increase colorectal cancer screening rates in North Carolina.

Methods

The intervention consisted of 12 months of facilitation in 3 FQHCs. We conducted chart audits to obtain data on changes in documented recommendation for colorectal cancer screening and completed screening. Key informant interviews provided qualitative data on barriers to and facilitators of implementing office systems.

Results

Overall, the percentage of eligible patients with a documented colorectal cancer screening recommendation increased from 15% to 29% (P < .001). The percentage of patients up to date with colorectal cancer screening rose from 23% to 34% (P = .03). Key informants in all 3 clinics said the implementation support from the practice facilitator was critical for initiating or improving office systems and that modifying the electronic medical record was the biggest challenge and most time-consuming aspect of implementing office systems changes. Other barriers were staff turnover and reluctance on the part of local gastroenterology practices to perform free or low-cost diagnostic colonoscopies for uninsured or underinsured patients.

Conclusion

Practice facilitation is a feasible, acceptable, and promising approach for supporting universal colorectal cancer screening in FQHCs. A larger-scale study is warranted.

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

✪ Pre/post evaluation of a pilot prevention with positives training program for healthcare providers in North West Province, Republic of South Africa

Abstract:

Background

Prevention interventions for people living with HIV/AIDS are an important component of HIV programs. We report the results of a pilot evaluation of a four-hour, clinic-based training for healthcare providers in South Africa on HIV prevention assessments and messages. This pre/post pilot evaluation examined whether the training was associated with providers delivering more prevention messages.

Methods

Seventy providers were trained at four public primary care clinics with a high volume of HIV patients. Pre- and post-training patient exit surveys were conducted using Audio-Computer Assisted Structured Interviews. Seven provider appropriate messaging outcomes and one summary provider outcome were compared pre- and post-training using Poisson regression.

Results

Four hundred fifty-nine patients pre-training and 405 post-training with known HIV status were interviewed, including 175 and 176 HIV positive patients respectively. Among HIV positive patients, delivery of all appropriate messages by providers declined post-training. The summary outcome decreased from 56 to 50%; adjusted rate ratio 0.92 (95% CI = 0.87–0.97). Sensitivity analyses adjusting for training coverage and time since training detected fewer declines. Among HIV negative patients the summary score was stable at 32% pre- and post-training; adjusted rate ratio 1.05 (95% CI = 0.98–1.12).

Conclusions

Surprisingly, this training was associated with a decrease in prevention messages delivered to HIV positive patients by providers. Limited training coverage and delays between training and post-training survey may partially account for this apparent decrease. A more targeted approach to prevention messages may be more effective.

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

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