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

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          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.

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          Most cited references18

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          Systematic review and meta-analysis of practice facilitation within primary care settings.

          This study was a systematic review with a quantitative synthesis of the literature examining the overall effect size of practice facilitation and possible moderating factors. The primary outcome was the change in evidence-based practice behavior calculated as a standardized mean difference. In this systematic review, we searched 4 electronic databases and the reference lists of published literature reviews to find practice facilitation studies that identified evidence-based guideline implementation within primary care practices as the outcome. We included randomized and nonrandomized controlled trials and prospective cohort studies published from 1966 to December 2010 in English language only peer-reviewed journals. Reviews of each study were conducted and assessed for quality; data were abstracted, and standardized mean difference estimates and 95% confidence intervals (CIs) were calculated using a random-effects model. Publication bias, influence, subgroup, and meta-regression analyses were also conducted. Twenty-three studies contributed to the analysis for a total of 1,398 participating practices: 697 practice facilitation intervention and 701 control group practices. The degree of variability between studies was consistent with what would be expected to occur by chance alone (I2 = 20%). An overall effect size of 0.56 (95% CI, 0.43-0.68) favored practice facilitation (z = 8.76; P <.001), and publication bias was evident. Primary care practices are 2.76 (95% CI, 2.18-3.43) times more likely to adopt evidence-based guidelines through practice facilitation. Meta-regression analysis indicated that tailoring (P = .05), the intensity of the intervention (P = .03), and the number of intervention practices per facilitator (P = .004) modified evidence-based guideline adoption. Practice facilitation has a moderately robust effect on evidence-based guideline adoption within primary care. Implementation fidelity factors, such as tailoring, the number of practices per facilitator, and the intensity of the intervention, have important resource implications.
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            Using organization theory to understand the determinants of effective implementation of worksite health promotion programs.

            The field of worksite health promotion has moved toward the development and testing of comprehensive programs that target health behaviors with interventions operating at multiple levels of influence. Yet, observational and process evaluation studies indicate that such programs are challenging for worksites to implement effectively. Research has identified several organizational factors that promote or inhibit effective implementation of comprehensive worksite health promotion programs. However, no integrated theory of implementation has emerged from this research. This article describes a theory of the organizational determinants of effective implementation of comprehensive worksite health promotion programs. The model is adapted from theory and research on the implementation of complex innovations in manufacturing, education and health care settings. The article uses the Working Well Trial to illustrate the model's theoretical constructs. Although the article focuses on comprehensive worksite health promotion programs, the conceptual model may also apply to other types of complex health promotion programs. An organization-level theory of the determinants of effective implementation of worksite health promotion programs.
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              Determinants of implementation effectiveness: adapting a framework for complex innovations.

              Many innovations in the health sector are complex, requiring coordinated use by multiple organizational members to achieve benefits. Often, complex innovations are adopted with great anticipation only to fail during implementation. The health services literature provides limited conceptual guidance to researchers and practitioners about implementation of complex innovations. In the present study, we adapt an organizational framework of innovation implementation developed and validated in a manufacturing setting and explore the extent to which it aptly characterizes implementation in health sector organizations. Through comparative case studies of four cancer clinical research networks, we illustrate how this conceptual framework captures key determinants of the implementation of new programs in cancer prevention and control (CP/C) research and helps explain observed differences in implementation effectiveness. Key determinants include management support and innovation-values fit, which contribute to an organizational "climate" for implementation. We explore the implications for researchers and managers.
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                Author and article information

                Journal
                Prev Chronic Dis
                Prev Chronic Dis
                PCD
                Preventing Chronic Disease
                Centers for Disease Control and Prevention
                1545-1151
                2017
                17 August 2017
                : 14
                : E66
                Affiliations
                [1 ]Department of Global Health, University of Washington, Seattle, Washington
                [2 ]University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
                [3 ]Philadelphia College of Osteopathic Medicine, Philadelphia, Pennsylvania
                [4 ]North Carolina Community Health Center Association, Raleigh, North Carolina
                Author notes
                Corresponding Author: Bryan J. Weiner, PhD, Department of Global Health, University of Washington, 1510 San Juan Rd, Seattle, WA 98195. Telephone: 206-221-7882. Email: bjweiner@ 123456uw.edu .
                Article
                16_0454
                10.5888/pcd14.160454
                5566800
                28817791
                395b1e8f-adb4-4246-b74f-a81984175e80
                History
                Categories
                Original Research
                Peer Reviewed

                Health & Social care
                Health & Social care

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