Analysis of combined data from heterogeneous study designs: an applied example from the patient navigation research program

Author:

Roetzheim Richard G12,Freund Karen M3,Corle Don K4,Murray David M5,Snyder Frederick R6,Kronman Andrea C3,Jean-Pierre Pascal78,Raich Peter C9,Holden Alan EC10,Darnell Julie S11,Warren-Mears Victoria12,Patierno Steven13,

Affiliation:

1. University of South Florida Department of Family Medicine, Tampa, FL, USA

2. H. Lee Moffitt Cancer Center, Tampa, FL, USA

3. Women’s Health Unit, Department of Medicine, Boston University School of Medicine, Boston, MA, USA

4. National Cancer Institute, Rockville, MD, USA

5. Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH, USA

6. NOVA Research Company, Bethesda, MD, USA

7. University of Miami Miller School of Medicine, Miami, FL, USA

8. Sylvester Comprehensive Cancer Center, Miami, FL, USA

9. Division of Hematology/Oncology, Denver Health and Hospital Authority, Denver, CO, USA

10. Institute for Health Promotion Research, The University of Texas Health Science Center at San Antonio, San Antonio, TX, USA

11. Division of Health Policy and Administration, School of Public Health, University of Illinois at Chicago, Chicago, IL, USA

12. Northwest Tribal Epidemiology Center, Northwest Portland Area Indian Health Board, Portland, OR, USA

13. George Washington Cancer Institute, George Washington University Medical Center, Washington, DC, USA

Abstract

Background The Patient Navigation Research Program (PNRP) is a cooperative effort of nine research projects, with similar clinical criteria but with different study designs. To evaluate projects such as PNRP, it is desirable to perform a pooled analysis to increase power relative to the individual projects. There is no agreed-upon prospective methodology, however, for analyzing combined data arising from different study designs. Expert opinions were thus solicited from the members of the PNRP Design and Analysis Committee. Purpose To review possible methodologies for analyzing combined data arising from heterogeneous study designs. Methods The Design and Analysis Committee critically reviewed the pros and cons of five potential methods for analyzing combined PNRP project data. The conclusions were based on simple consensus. The five approaches reviewed included the following: (1) analyzing and reporting each project separately, (2) combining data from all projects and performing an individual-level analysis, (3) pooling data from projects having similar study designs, (4) analyzing pooled data using a prospective meta-analytic technique, and (5) analyzing pooled data utilizing a novel simulated group-randomized design. Results Methodologies varied in their ability to incorporate data from all PNRP projects, to appropriately account for differing study designs, and to accommodate differing project sample sizes. Limitations The conclusions reached were based on expert opinion and not derived from actual analyses performed. Conclusions The ability to analyze pooled data arising from differing study designs may provide pertinent information to inform programmatic, budgetary, and policy perspectives. Multisite community-based research may not lend itself well to the more stringent explanatory and pragmatic standards of a randomized controlled trial design. Given our growing interest in community-based population research, the challenges inherent in the analysis of heterogeneous study design are likely to become more salient. Discussion of the analytic issues faced by the PNRP and the methodological approaches we considered may be of value to other prospective community-based research programs.

Publisher

SAGE Publications

Subject

Pharmacology,General Medicine

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