A non-randomized controlled stepped wedge trial to evaluate the effectiveness of a multi-level mammography intervention in improving appointment adherence in underserved women

Implementation Science

Volumn 10, Issue 1, 2015, Pages

  Highfield, L ^a   Rajan, S S ^a   Valerio, M A ^a   Walton, G ^b   Fernandez, M E ^a   Bartholomew, L K ^a  

^a UNIVERSITY OF TEXAS SCHOOL OF PUBLIC HEALTH   (United States)

^b Breast Health Collaborative of Texas   (United States)

Author keywords

Breast cancer screening; Budget impact analysis; Evidence based interventions; Mammogram adherence; Non randomized controlled trial; Patient navigation; Underserved women

Indexed keywords

ADULT; BREAST NEOPLASMS; CLINICAL TRIAL; EARLY CANCER DIAGNOSIS; ECONOMICS; FEMALE; HOSPITAL MANAGEMENT; HUMAN; MAMMOGRAPHY; MEDICAL CARE; METHODOLOGY; MIDDLE AGED; PATIENT COMPLIANCE; PATIENT REFERRAL; PROCEDURES; SAFETY NET HOSPITAL; SOCIOECONOMICS; STATISTICS AND NUMERICAL DATA; TEXAS; TIME FACTOR; VULNERABLE POPULATION;

ADULT; APPOINTMENTS AND SCHEDULES; BREAST NEOPLASMS; EARLY DETECTION OF CANCER; FEMALE; HUMANS; MAMMOGRAPHY; MEDICAL ASSISTANCE; MIDDLE AGED; PATIENT COMPLIANCE; REFERRAL AND CONSULTATION; RESEARCH DESIGN; SAFETY-NET PROVIDERS; SOCIOECONOMIC FACTORS; TEXAS; TIME FACTORS; VULNERABLE POPULATIONS;

EID: 84944068997     PISSN: None     EISSN: 17485908     Source Type: Journal    
DOI: 10.1186/s13012-015-0334-x     Document Type: Article

References (47)

1. Bradley CJ, Given CW, Roberts C. Disparities in cancer diagnosis and survival. Cancer. 2001;91:178-88.
2. Gordon NH, Crowe JP, Brumberg DJ, Berger NA. Socioeconomic factors and race in breast cancer recurrence and survival. Am J Epidemiol. 1992;135:609-18.
3. Byers TE, Wolf HJ, Bauer KR, Bolick-Aldrich S, Chen VW, Finch JL, et al. The impact of socioeconomic status on survival after cancer in the United States: findings from the National Program of Cancer Registries Patterns of Care Study. Cancer. 2008;113:582-91.
4. Farley TA, Flannery JT. Late-stage diagnosis of breast cancer in women of lower socioeconomic status: public health implications. Am J Public Health. 1989;79:1508-12.
5. Ayanian JZ, Kohler BA, Abe T, Epstein AM. The relation between health insurance coverage and clinical outcomes among women with breast cancer. N Engl J Med. 1993;329:326-31.
6. Bradley CJ, Given CW, Roberts C. Re: race, socioeconomic status, and breast cancer treatment and survival. J Natl Cancer Inst. 2002;94:490-6.
7. Schueler KM, Chu PW, Smith-Bindman R. Factors associated with mammography utilization: a systematic quantitative review of the literature. J Women's Health. 2008;17(9):1477-98. doi: 10.1089/jwh.2007.0603.
8. Onitilo AA, Engel JM, Liang H, Stankowski RV, Miskowiak DA, et al. Mammography utilization: patient characteristics and breast cancer stage at diagnosis. Am J Roentgenol. 2013;201(5):1057-63.
9. Fayanju OM, Jeffe DB, Tappenden JR, Beers CE, Drake BF, Gao F, et al. Breast cancer presentation in an urban health care safety net system. Mo Med. 2012;109(5):405.
10. Wang F, McLafferty S, Escamilla V, Luo L. Late-stage breast cancer diagnosis and health care access in illinois. Prof Geogr. 2008;60(1):54-69.
11. Rajan SS, Begley CE, Highfield LD, Kim B. Survival benefits of treatment access among underserved breast cancer patients diagnosed through the Texas breast and cervical cancer services program. J Public Health Manag Pract. 2015;21(5):477-86.
12. Rajan SS, Begley CE, Kim B. Breast cancer stage at diagnosis among medically underserved women screened through the Texas breast and cervical cancer services. Popul Health Manag. 2014;17(4):202-10.
13. Spitler HD, Mayo RM, Parker VG. Patterns of breast, cervical, colorectal, and prostate cancer in the Appalachian region of South Carolina. Ethnicity Disease. 2000;11(1):51-9.
14. Davidson PL, Bastani R, Nakazono TT, Carreon DC. Role of community risk factors and resources on breast carcinoma stage at diagnosis. Cancer. 2005;103:922-30.
15. Baicker K, Chandra A, Skinner JS, Wennberg JE. Who you are and where you live: how race and geography affect the treatment of medicare beneficiaries. Health Aff (Milwood). 2004;suppl:VAR33-44.
16. Harris JR, Cheadle A, Hannon PA, Forehand M, Lichiello P, Mahoney E, et al. A framework for disseminating evidence-based health promotion practices. Prev Chronic Dis. 2012;9:E22.
17. Kerner J, Rimer B, Emmons K. Introduction to the special section on dissemination: dissemination research and research dissemination: how can we close the gap? Health Psychol. 2005;24(5):443-6.
18. Rogers EM. Diffusion of innovations. New York, NY, USA: Free Press; 2003.
19. Glasgow RE, Lichtenstein E, Marcus AC. Why don't we see more translation of health promotion research to practice? Rethinking the efficacy-to-effectiveness transition. Am J Public Health. 2003;93(8):1261-7.
20. Highfield L, Bartholomew LK, Hartman MA, Ford MM, Balihe P. Grounding evidence-based approaches to cancer prevention in the community: a case study of mammography barriers in underserved African American women. Health Promot Pract. 2014;15(6):904-14.
21. Yano EM, Green LW, Glanz K, Ayanian JZ, Mittman BS, Chollette V, et al. Implementation and spread of interventions into the multilevel context of routine practice and policy: implications for the cancer care continuum. J Natl Cancer Inst Monogr. 2012;2012(44):86-99.
22. Stetler CB, McQueen L, Demakis J, Mittman BS. An organizational framework and strategic implementation for system-level change to enhance research-based practice: QUERI series. Implement Sci. 2008;3(1):1-11.
23. Ahmed SM, Palermo AS. Community engagement in research: frameworks for education and peer review. Am J Public Health. 2010;100(8):1380-7.
24. Taplin SH, Price RA, Edwards HM, Foster MK, Breslau ES, Chollette V, et al. Introduction: understanding and influencing multilevel factors across the cancer care continuum. J Natl Cancer Inst Monogr. 2012;2012(44):2-10.
25. Allen CL, Harris JR, Hannon PA, Parrish AT, Hammerback K, Craft J, et al. Opportunities for improving cancer prevention at federally qualified health centers. J Cancer Educ. 2014;29(1):30-7.
26. Shin P, Jones K, Rosenbaum S. Reducing racial and ethnic health disparities: estimating the impact of high health center penetration in low-income communities Available at: http://hsrc.himmelfarb.gwu.edu/cgi/viewcontent.cgi?article=1299&context=sphhs_policy_facpubs Accessed: September 20, 2013.
27. Cialdella-Kam L, Parichart SM, Bispeck K, Silverman S, Bernstein L, Krawiec V, et al. Implementing cancer prevention into clinical practice. J Cancer Educ. 2012;27(2):136-43.
28. Taplin SH, Haggstrom D, Jacobs T, Determan A, Granger J, Montalvo W, et al. Implementing colorectal cancer screening in community health centers: addressing cancer health disparities through a regional cancer collaborative. Med Care. 2008;46:S74-83.
29. Lipkus IM, Kuchibhatla M, McBride CM, Bosworth HB, Pollak KI, Siegler IC, et al. Relationships among breast cancer perceived absolute risk, comparative risk, and worries. Cancer Epidemiol Biomark Prev. 2000;9(9):973-5.
30. Highfield L, Hartman, MA, Mullen PD, Rodriquez S. Fernandez ME, Bartholomew LK. Intervention mapping to adapt evidence-based interventions for use in practice: increasing mammography among African American women in a practice setting. Biomed Res Int. 2015; Article ID 160103 in press
31. Highfield L, Hartman MA, Bartholomew LK, Balihe P, Ausborn VA. Evaluation of the effectiveness and implementation of an adapted evidence-based mammography intervention for African American women. Biomed Res Int. 2015; Article ID 240240, in press
32. Woertman W, de Hoop E, Moerbeek M, Zuidema SU, Gerritsen DL, Teerenstra S. Stepped wedge designs could reduce the required sample size in cluster randomized trials. J Clin Epidemiol. 2013;66(7):752-8.
33. Hade EM, Murray DM, Pennell ML, Rhoda D, Paskett ED, Champion VL, et al. Intraclass correlation estimates for cancer screening outcomes: estimates and applications in the design of group-randomized cancer screening studies. JNCI Monographs. 2010;40:97-103.
34. Wells KJ, Luque JS, Miladinovic B, Vargas N, Asvat Y, Roetzheim RG, et al. Do community health worker interventions improve rates of screening mammography in the United States? A systematic review. Cancer Epidemiol Biomark Prev. 2011;20(8):1580-98.
35. Fernández ME, Melvin CL, Leeman J, Ribisl KM, Allen JD, Kegler MC, et al. The cancer prevention and control research network: an interactive systems approach to advancing cancer control implementation research and practice. Cancer Epidemiol Biomark Prev. 2014;23(11):2512-21.
36. Liang S, Kegler M, Carvalho M, Fernandez M, Weiner B, Jacobs S, et al. Measuring constructs from the consolidated framework for implementation research in the context of increasing colorectal cancer screening at community health centers. Implement Sci. 2015;10 Suppl 1:A10.
37. Fernandez ME, Shuting L, Jacobs SR, Taplin SH, Weiner BJ. Pressing ahead: developing and testing of new measures in implementation science. Implement Sci. 2015;10 Suppl 1:A14.
38. Liang KY, Zeger S. Longitudinal data analysis using generalized linear models. Biometrika. 1986;73(1):13-22.
39. Hardin J, Hilbe J. Generalized estimating equations. London: Chapman and Hall/CRC; 2003.
40. Mauskopf JA, Earnshaw S, Mullins CD. Budget impact analysis: review of the state of the art. Expert Rev Pharmacoecon Outcomes Res. 2005;5(1):65-79.
41. Mauskopf JA, Sullivan SD, Annemans L, Caro J, Mullins CD, Nuijten M, et al. Principles of good practice for budget impact analysis: report of the ISPOR task force on good research practices-budget impact analysis. Value Health. 2007;10(5):336-47.
42. Hawkins NG, Sanson-Fisher RW, Shakeshaft A, D'Este C, Green LW. The multiple baseline design for evaluating population-based research. Am J Prev Med. 2007;33(2):162-8.
43. De Allegri M, Pokhrel S, Becher H, Dong H, Mansmann U, Kouyaté B, et al. Step-wedge cluster-randomised community-based trials: an application to the study of the impact of community health insurance. Health Res Policy Syst. 2008;6(10):6-10.
44. Rhoda DA, Murray DM, Andridge RR, Pennell ML, Hade EM. Studies with staggered starts: multiple baseline designs and group-randomized trials. Am J Public Health. 2011;101(11):2164.
45. Hussey MA, Hughes JP. Design and analysis of stepped wedge cluster randomized trials. Contemp Clin Trials. 2007;28:182e91.
46. Brown CA, Lilford RJ. The stepped wedge trial design: a systematic review. BMC Med Res Methodol. 2006;6:54.
47. Mdege ND, Man MS, Taylor Nee Brown CA, Torgerson DJ. Systematic review of stepped wedge cluster randomized trials shows that design is particularly used to evaluate interventions during routine implementation. J Clin Epidemiol. 2011;64:936e48.