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Evaluating the implementation of a prisoner re-entry initiative for individuals with opioid use and mental health disorders: Application of the consolidated framework for implementation research in a cross-system initiative
ارزیابی اجرای ابتکار ورود مجدد زندانی برای افراد دارای مصرف مواد افیونی و اختلالات سلامت روانی: استفاده از چارچوب تلفیقی برای تحقیقات پیاده سازی در یک ابتکار عمل متقابل-2020 Given the interrelated nature of opioid use, criminal justice interaction, and mental health issues, the current
opioid crisis has created an urgent need for treatment, including medication assisted treatment, among justiceinvolved
populations. Implementation research plays an important role in improving systems of care and integration
of evidence-based practices within and outside of criminal justice institutions. The current study is a
formative qualitative evaluation of the implementation of a cross-system (corrections and community-based)
opioid use treatment initiative supported by Opioid State Targeted Response (STR) funding. The purpose of the
study is to assess the fit of the Consolidated Framework for Implementation Research (CFIR) to a cross-system
initiative, and to identify key barriers and facilitators to implementation.
The process evaluation showed that adaptability of the clinical model and staff flexibility were critical to
implementation. Cultural and procedural differences across correctional facilities and community-based treatment
programs required frequent and structured forums for cross-system communication. Challenges related to
recruitment and enrollment, staffing, MAT, and data collection were addressed through the collaborative development
and continuous review of policies and procedures.
This study found CFIR to be a useful framework for understanding implementation uptake and barriers. The
framework was particularly valuable in reinforcing the use of implementation research as a means for continuous
process improvement. CFIR is a comprehensive and flexible framework that may be adopted in future
cross-system evaluations. Keywords: Opioids | Medication assisted treatment | Implementation research | Criminal justice | Co-occurring disorders |
مقاله انگلیسی |
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Understanding predictive factors for merge conflicts
شناخت عوامل پیش بینی کننده برای ادغام درگیری ها-2020 Context: Merge conflicts often occur when developers change the same code artifacts. Such conflicts might be frequent in practice, and resolving them might be costly and is an error-prone activity. Objective: To minimize these problems by reducing merge conflicts, it is important to better understand how conflict occurrence is affected by technical and organizational factors. Method: With that aim, we investigate seven factors related to modularity, size, and timing of developers contri- butions. To do so, we reproduce and analyze 73504 merge scenarios in GitHub repositories of Ruby and Python MVC projects. Results: We find evidence that the likelihood of merge conflict occurrence significantly increases when contri- butions to be merged are not modular in the sense that they involve files from the same MVC slice (related model, view, and controller files). We also find bigger contributions involving more developers, commits, and changed files are more likely associated with merge conflicts. Regarding the timing factors, we observe contribu- tions developed over longer periods of time are more likely associated with conflicts. No evaluated factor shows predictive power concerning both the number of merge conflicts and the number of files with conflicts. Conclusion: Our results could be used to derive recommendations for development teams and merge conflict prediction models. Project management and assistive tools could benefit from these models Keywords: code integration | merge conflict | modularity | collaborative development | empirical study |
مقاله انگلیسی |