Strategy Configurations Directly Linked to Higher Hepatitis C Virus Treatment Starts: An Applied Use of Configurational Comparative Methods

Medical Care

Volumn 58, Issue 5, 2020, Pages E31-E38

  Yakovchenko, Vera ^a   Miech, Edward J ^a,b   Chinman, Matthew J ^a,c   Chartier, Maggie ^a   Gonzalez, Rachel ^d   Kirchner, JoAnn E ^e   Morgan, Timothy R ^d   Park, Angela ^f   Powell, Byron J ^g   Proctor, Enola K ^g   Ross, David ^a   Waltz, Thomas J ^h,i   Rogal, Shari S ^a,j,k  

^a VETERANS AFFAIRS MEDICAL CENTER   (United States)

^b REGENSTRIEF INSTITUTE   (United States)

^c RAND CORPORATION   (United States)

^d VA LONG BEACH HEALTHCARE SYSTEM   (United States)

^e CENTRAL ARKANSAS VETERANS HEALTHCARE SYSTEM   (United States)

^f Veterans Engineering Resource Center   (United States)

^g WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

^h EASTERN MICHIGAN UNIVERSITY   (United States)

ⁱ VA ANN ARBOR HEALTHCARE SYSTEM   (United States)

^j UNIVERSITY OF PITTSBURGH MEDICAL CENTER   (United States)

^k UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

more..

Author keywords

Coincidence Analysis; Configurational Comparative Methods; evaluation; HCV treatment; implementation strategies

Indexed keywords

ADULT; ARTICLE; HEPATITIS C VIRUS; HUMAN; LEADERSHIP; LEARNING; NONHUMAN; TOTAL QUALITY MANAGEMENT; VETERAN; CLINICAL PATHWAY; GOVERNMENT; HEPATITIS C; MEDICATION COMPLIANCE; PROGRAM EVALUATION; UNITED STATES;

ANTIVIRUS AGENT;

ANTIVIRAL AGENTS; CRITICAL PATHWAYS; HEPATITIS C; HUMANS; MEDICATION ADHERENCE; PROGRAM EVALUATION; UNITED STATES; UNITED STATES DEPARTMENT OF VETERANS AFFAIRS; VETERANS HEALTH SERVICES;

EID: 85083538714     PISSN: 00257079     EISSN: 15371948     Source Type: Journal    
DOI: 10.1097/MLR.0000000000001319     Document Type: Article

References (34)

1. Belperio PS, Chartier M, Gonzalez RI,. Hepatitis C care in the Department of Veterans Affairs: Building a foundation for success. Infect Dis Clin North Am. 2018; 32: 281-292.
2. Backus LI, Belperio PS, Shahoumian TA,. Real-world effectiveness of ledipasvir/sofosbuvir in 4365 treatment-naive, genotype 1 hepatitis C-infected patients. Hepatology. 2016; 64: 405-414.
3. Belperio PS, Chartier M, Ross DB,. Curing hepatitis C virus infection: Best practices from the US Department of Veterans Affairs. Ann Intern Med. 2017; 167: 499-504.
4. Park A, Gonzalez R, Chartier M,. Screening and treating hepatitis C in the VA: Achieving excellence using lean and system redesign. Fed Pract. 2018; 35: 24-29.
5. Hagg HW, Workman-Germann J, Flanagan M, Henriksen K, Battles JB, Keyes MA,. Implementation of systems redesign: Approaches to spread and sustain adoption. Advances in Patient Safety: New Directions and Alternative Approaches (Vol 2: Culture and Redesign). Rockville, MD: Agency for Healthcare Research and Quality (US); 2008. Available at: Https://www.ncbi.nlm.nih.gov/books/NBK43727/.
6. Rogal SS, Yakovchenko V, Waltz TJ,. The association between implementation strategy use and the uptake of hepatitis C treatment in a national sample. Implement Sci. 2017; 12: 60.
7. Proctor EK, Powell BJ, McMillen JC,. Implementation strategies: Recommendations for specifying and reporting. Implement Sci. 2013; 8: 139.
8. Waltz TJ, Powell BJ, Chinman MJ,. Expert recommendations for implementing change (ERIC): Protocol for a mixed methods study. Implement Sci. 2014; 9: 39.
9. Waltz TJ, Powell BJ, Matthieu MM,. Use of concept mapping to characterize relationships among implementation strategies and assess their feasibility and importance: Results from the Expert Recommendations for Implementing Change (ERIC) study. Implement Sci. 2015; 10: 1.
10. Powell BJ, Waltz TJ, Chinman MJ,. A refined compilation of implementation strategies: Results from the Expert Recommendations for Implementing Change (ERIC) project. Implement Sci. 2015; 10: 21.
11. Weiner BJ, Lewis MA, Clauser SB,. In search of synergy: Strategies for combining interventions at multiple levels. J Natl Cancer Inst Monogr. 2012; 2012: 34-41.
12. Miech EJ, Damschroder L,. Qualitative comparative analysis and implementation research: An introduction. Veterans Administration Health Services Research & Development National CyberSeminar; 2016.
13. Thiem A,. Conducting configurational comparative research with qualitative comparative analysis: A hands-on tutorial for applied evaluation scholars and practitioners. Am J Eval. 2017; 38: 420-433.
14. Baumgartner M, Epple R,. A coincidence analysis of a causal chain: The Swiss minaret vote. Sociol Methods Res. 2014; 43: 280-312.
15. Baumgartner M,. Parsimony and causality. Qual Quant. 2015; 49: 839-856.
16. Cragun D, Pal T, Vadaparampil ST,. Qualitative comparative analysis: A hybrid method for identifying factors associated with program effectiveness. J Mix Methods Res. 2016; 10: 251-272.
17. Baumgartner M,. Regularity theories reassessed. Philosophia (Mendoza). 2008; 36: 327-354.
18. Rohlfing I, Zuber CI,. Check your truth conditions! Clarifying the relationship between theories of causation and social science methods for causal inference. Sociol Methods Res. 2019: 0049124119826156.
19. Mackie JL,. The Cement of the Universe: A Study of Causation. Oxford, UK: Clarendon Press; 1974.
20. Palinkas LA, Mendon SJ, Hamilton AB,. Innovations in mixed methods evaluations. Annual Rev Public Health. 2019; 40: 423-442.
21. Harris K, Kneale D, Lasserson TJ,. School-based self-management interventions for asthma in children and adolescents: A mixed methods systematic review. Cochrane Database Syst Rev. 2019; 1: CD011651.
22. Ambuehl M, Baumgartner M,. cna: Causal modeling with coincidence analysis. R package version 2.1.1; 2018.
23. Thiem A,. QCApro: Professional functionality for performing and evaluating qualitative comparative analysis. R package version 1.1-1; 2016.
24. Jann B,. The Blinder-Oaxaca decomposition for linear regression models. Stata J. 2008; 8: 453-479.
25. Sharaf MF, Rashad AS,. Regional inequalities in child malnutrition in Egypt, Jordan, and Yemen: A Blinder-Oaxaca decomposition analysis. Health Econ Rev. 2016; 6: 23.
26. Hothorn T, Hornik K, Zeileis A,. Unbiased recursive partitioning: A conditional inference framework. J Comput Graph Stat. 2006; 15: 651-674.
27. Ferré Á Poca MA, de la Calzada MD,. A conditional inference tree model for predicting sleep-related breathing disorders in patients with Chiari malformation type 1: Description and external validation. J Clin Sleep Med. 2019; 15: 89-99.
28. Baumgartner M, Thiem A,. Model ambiguities in configurational comparative research. Sociol Methods Res. 2017; 46: 954-987.
29. Veterans Health Administration. VHA facility complexity model; 2015. Available at: Http://opes.vssc.med.va.gov/FacilityComplexityLevels/Pages/default.aspx. Accessed December 12, 2016.
30. Chambers DA, Vinson CA, Norton WE,. Advancing the Science of Implementation Across the Cancer Continuum. New York, NY: Oxford University Press; 2018.
31. Williams NJ, Beidas RS,. Annual research review: The state of implementation science in child psychology and psychiatry: A review and suggestions to advance the field. J Child Psychol Psychiatry. 2019; 60: 430-450.
32. Proctor E, Hooley C, Morse A,. Intermediary/purveyor organizations for evidence-based interventions in the US child mental health: Characteristics and implementation strategies. Implement Sci. 2019; 14: 3.
33. Klein KJ, Sorra JS,. The challenge of innovation implementation. Acad Manage Rev. 1996; 21: 1055-1080.
34. Kirchner JE, Waltz TJ, Powell BJ, Brownson RC, Colditz GA, Proctor EK,. Implementation strategies. Dissemination and Implementation Research in Health: Translating Science to Practice, 2nd ed. New York, NY: Oxford University Press; 2017: 245-266.