© 2006 American Public Health Association DOI: 10.2105/AJPH.2004.057976
Stephenie C. Lemon, Jane G. Zapka, and Barbara Estabrook are with the Division of Preventive and Behavioral Medicine, University of Massachusetts Medical School, Worcester, Mass. Evan Benjamin is with the Department of Medicine, Tufts University School of Medicine, Boston, Mass, and the Division of Healthcare Quality, Baystate Health System, Springfield, Mass. Correspondence: Requests for reprints should be sent to Stephenie Lemon, PhD, Division of Preventive and Behavioral Medicine, University of Massachusetts Medical School, Worcester, MA 01655 (e-mail: stephenie.lemon{at}umassmed.edu).
Community health centers (CHCs) are important settings for research aimed at reducing health disparities. However, CHCs pose many challenges to research at patient, provider, and system levels. We summarized lessons learned from a multimethod, formative study to develop intervention strategies for improving colorectal cancer screening in CHCs, and make recommendations for future research. The call for research in "real world" settings such as CHCs must be matched with greater understanding of the challenges, as well as the resources to meet those challenges.
Policy and research agendas increasingly call for efforts to reduce health disparities. Community health centers (CHCs) are a central component of the US primary care safety net. Their mission is to provide comprehensive health care for medically underserved patients including racial/ethnic minorities, Medicaid recipients, and low-income employed persons who are uninsured or underinsured but ineligible for Medicaid coverage.1,2 Thus, CHCs are an important setting for achieving these agendas. We describe lessons learned about conducting health services research in urban CHCs from a multimethod, formative study designed to develop interventions to increase colorectal cancer screening.
Our study was conducted from March 2001 through February 2003 in Springfield, Mass, at 2 urban CHCs that are affiliated with a large, integrated delivery system. The city is designated an "Enterprise Community" by the Department of Housing and Urban Development, with poor economic conditions and health status of residents. In the 2000 census, 44% of the residents identified themselves as nonwhite (21% African American, 27% Hispanic). Higher proportions of minorities reside in the neighborhoods served by the CHCs.3
Qualitative and quantitative methods were used to complete formative research at the patient, provider, and system levels at the CHCs. A computerized information systems database collected basic information about patients aged 50 to 84 years. A medical record audit was completed to estimate current prevalence of referral and completion of colorectal cancer screening tests (flexible sigmoidoscopy, colonoscopy, and home fecal occult blood test) among a sample of eligible patients (aged 50 to 84; Semistructured, face-to-face key informant interviews were conducted with 26 CHC primary care providers (PCPs) and support staff, 4 gastroenterologists who provide endoscopy to CHC patients, and 2 specialty appointment schedulers. A brief self-administered provider survey was distributed to all PCPs (attending and resident physicians, nurse practitioners, and a physicians assistant), with a 72% response rate (n=68). A telephone survey was completed by a sample of 65 African American patients, stratified by gender, age, and CHC. Qualitative methods were conducted with both patients and community members to gain a broader perspective. Four focus groups (n=34) were conducted with African Americans. Key informant interviews and focus groups were conducted with Hispanics who only or primarily spoke Spanish (n=12). Data synthesis involved a systematic triangulation process by which findings from multiple methods, data sources, theories, and/or investigators were combined to obtain an in-depth understanding of the colorectal cancer screening at the CHCs.4
Details of the results of this study are provided in the 2 text boxes accompanying this report. The first text box (p 627) describes in detail the challenges to research that were encountered in this study at the system, provider, and patient levels. Briefly, several systems-level challenges were identified. Review of administrative patient data revealed unreliable and missing data and inconsistent data coding. The medical record audit was complicated by difficulty in locating records, poor organization of records, and problematic data collection/coding practices. Additional difficulties were encountered because of the staffing of the clinics by residents, time restrictions on patient visits, and ineffective processes for communication between PCPs and specialists. Provider-related challenges included poor perceptions of patients, competing demands, and lack of skill and self-efficacy in counseling patients. Patient characteristics posing challenges included high levels of comorbidity, lack of transportation, mistrust of providers among African Americans, and communication barriers with Spanish-speaking patients. The second text box (p 628) suggests strategies to overcome potential difficulties related to study design, subject recruitment and retention, data quality and collection, and quality improvement.
Reducing disparities in health services delivery and outcomes is a continuing challenge.5 Researchers have tackled this important issue, but disparities persist, including for colorectal cancer screening.6 Community health centers have a history of commitment to providing care for minority and other underserved populations,1,7 and are attractive research settings. However, the challenges to conducting effectiveness research in CHCs must be recognized and addressed. To effectively conduct intervention research in "real world" settings requires feasible research designs and intervention strategies. Our preliminary studies and the work of others clearly highlight the need to utilize ecological approaches8 that target practice systems, providers, and patients.9 Randomized controlled trials, generally considered the gold standard, are often not plausible. Victora and colleagues10 argue that there is a pressing need for the development of quality standards for implementing and evaluating trials when randomized controlled trials are not feasible. Quasi-experimental designs may be better suited for CHCs because of feasibility of implementation and the likelihood of making significant impact on patient outcomes because of greater likelihood of long-term sustainability. Another major barrier is the difficulty in funding necessary quality improvement efforts because they are generally excluded from grant funding and CHCs lack resources to fund quality improvement. Funders must recognize that resources needed by CHCs to compensate for many of their challenges exceed those of other settings, and therefore make allowances to include funding for quality improvement efforts that are essential to effectively conducting research. The challenges identified in this project are potentially generalizable to other urban CHCs because of similarities in structure and patient populations. Findings may also be relevant for other preventive services because of similar barriers at each level. However, the potential impact of addressing these challenges is difficult to estimate because of variable resources and motivation and prioritization of clinical leaders regarding prevention initiatives. As we attempt to translate research into practice, CHCs will be a continued focus. This project demonstrated pervasive challenges to effective health services research in CHCs that may limit research efforts. The call for more "real world" and diffusion research must be matched by the understanding of the challenges and resources needed to organize the centers to accommodate these challenges.
The work described in this article was supported by the National Cancer Institute (grant 5 R21 CA90743-02). Note. The contents of this article are solely the responsibility of the authors and do not necessarily represent the official views of the National Cancer Institute. The authors would like to thank Penny Pekow, Kevin Hinchey, Andrew Balder, and Dana Buchanan for their contributions to the successful implementation of this project, and Chris Foley for her administrative support.
Peer Reviewed
Contributors
Human Participant Protection Accepted for publication February 15, 2005.
1. Blumenthal DS, Lukomnik JE, Hawkins DR Jr. A proposal to provide care to the uninsured through a network of community health centers. J Health Care Poor Underserved. 1993;4:272279.[Medline] 2. Forrest CB, Whelan EM. Primary care safety-net delivery sites in the United States: A comparison of community health centers, hospital outpatient departments, and physicians offices. JAMA. 2000;284: 20772083. 3. United States Census Bureau. Table DP-1. Profile of General Demographic Characteristics: 2000. Washington, DC: US Department of Commerce; 2001. 4. Denzin NK, Lincoln YS, eds. Handbook of Qualitative Research. 2nd ed. Thousand Oaks, Calif: Sage Publications, Inc; 2000. 5. Bach PB, Pham HH, Schrag D, Tate RC, Hargraves JL. Primary care physicians who treat blacks and whites. N Engl J Med. 2004;351:575584. 6. Seeff LC, Nadel MR, Klabunde CN, et al. Patterns and predictors of colorectal cancer test use in the adult US. population. Cancer. 2004;100:20932103.[CrossRef][Web of Science][Medline] 7. Davis SK, Collins KS, Hall A. Community health centers in a changing US health care system. Policy Brief Commonw Fund. 1999;300:113. 8. Sallis JF, Owen N. Ecological models of health behavior. In: Glanz K, Rimer BK, Lewis FM, eds. Health Behavior and Health Education. Theory, Research, and Practice. 3rd ed. San Francisco, Calif: Jossey-Bass; 2002. 9. Zapka JG, Taplin SH, Solberg LI, Manos MM. A framework for improving the quality of cancer care: The case of breast and cervical cancer screening. Cancer Epidemiol Biomarkers Prev. 2003;12:413. 10. Victora CG, Habicht JP, Bryce J. Evidence-based public health: moving beyond randomized trials. Am J Public Health. 2004;94:400405. This article has been cited by other articles:
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