Overview of qualitative methods in research with diverse populations. Making research reflect the population.
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Ethnicity↗
Biomedical subjects
Anna M Nápoles-Springer
Publications and source records attributed to Anna M Nápoles-Springer.
Using cognitive interviews to develop surveys in diverse populations.
BACKGROUND: Conceptual equivalence of measures is essential in research that compares health across diverse racial/ethnic groups. Cognitive interviews are pretest methods to explore the conceptual equivalence of survey items. Systematic approaches for using these methods are emerging. OBJECTIVE: We describe an interaction analysis (IA) approach using qualitative data analysis software to analyze transcripts of cognitive interviews in a study to develop a survey instrument of the quality of interpersonal processes of care of diverse patients. Cognitive interviews included standard administration of the survey followed by retrospective probes for selected items. SUBJECTS: Interviews were completed with 48 Latino, black, and non-Latino white respondents 18 years of age or older with at least one doctor's visit in the past 12 months. Participants averaged 45.8 years in age (standard deviation [SD] = 18.4), 58% were women, and mean education was 14.7 years (SD = 4.0). RESULTS: Problems were identified in 126 of 159 items (79%). Behavior coding identified 32 problematic items (20%). IA of the transcript of the survey and retrospective probes identified 94 additional problematic items (59%). IA often revealed the nature of the problems, enabling decisions to modify or drop items based on respondents' comments. Behavior coding and IA identified ethnic and language similarities and differences in the use of response sets and the interpretation of items. CONCLUSIONS: IA and behavior coding of cognitive interview transcripts can identify efficiently problems with items and their source to increase the likelihood of the revised items being conceptually equivalent across ethnic groups.
Adult↗
Patients' perceptions of cultural factors affecting the quality of their medical encounters.
OBJECTIVE: The aim of this study was to identify key domains of cultural competence from the perspective of ethnically and linguistically diverse patients. DESIGN: The study involved one-time focus groups in community settings with 61 African-Americans, 45 Latinos and 55 non-Latino Whites. Participants' mean age was 48 years, 45% were women, and 47% had less than a high school education. Participants in 19 groups were asked the meaning of 'culture' and what cultural factors influenced the quality of their medical encounters. Each text unit (TU or identifiable continuous verbal utterance) of focus group transcripts was content analysed to identify key dimensions using inductive and deductive methods. The proportion of TUs was calculated for each dimension by ethnic group. RESULTS: Definitions of culture common to all three ethnic groups included value systems (25% of TUs), customs (17%), self-identified ethnicity (15%), nationality (11%) and stereotypes (4%). Factors influencing the quality of medical encounters common to all ethnic groups included sensitivity to complementary/alternative medicine (17%), health insurance-based discrimination (12%), social class-based discrimination (9%), ethnic concordance of physician and patient (8%), and age-based discrimination (4%). Physicians' acceptance of the role of spirtuality (2%) and of family (2%), and ethnicity-based discrimination (11%) were cultural factors specific to non-Whites. Language issues (21%) and immigration status (5%) were Latino-specific factors. CONCLUSIONS: Providing quality health care to ethnically diverse patients requires cultural flexibility to elicit and respond to cultural factors in medical encounters. Interventions to reduce disparities in health and health care in the USA need to address cultural factors that affect the quality of medical encounters.
Adolescent↗
Recruiting ethnically diverse general internal medicine patients for a telephone survey on physician-patient communication.
BACKGROUND: Limited evidence exists on the effectiveness of recruitment methods among diverse populations. OBJECTIVE: Describe response rates by recruitment stage, ethnic-language group, and type of initial contact letter (for African-American and Latino patients). DESIGN: Tracking of response status by recruitment stage and ethnic-language group and a randomized trial of ethnically tailored initial letters nested within a cross-sectional telephone survey on physician-patient communication. PARTICIPANTS: Adult general medicine patients with >or=1 visit during the preceding year, stratified by 4 categories: African-American (N= 1,400), English-speaking Latino (N= 894), Spanish-speaking Latino (N= 965), and non-Latino white (N= 1,400). MEASUREMENTS AND RESULTS: Ethnically tailored initial letters referred to shortages of African-American (or Latino) physicians and the need to learn about the experiences of African-American (or Latino) patients communicating with physicians. Of 2,482 patients contacted, eligible, and able to participate (identified eligibles), 69.9% completed the survey. Thirty-nine percent of the sampling frame was unable to be contacted, with losses higher among non-Latino whites (46.5%) and African Americans (44.2%) than among English-speaking (32.3%) and Spanish-speaking Latinos (25.1%). For identified eligibles, response rates were highest among Spanish-speaking Latinos (75.2%), lowest for non-Latino whites (66.4%), and intermediate for African Americans (69.7%) and English-speaking Latinos (68.1%). There were no differences in overall response rates between patients receiving ethnically tailored letters (72.2%) and those receiving general letters (70.0%). CONCLUSIONS: Household contact and individual response rates differed by ethnic-language group, highlighting the importance of tracking losses by stage and subpopulation. Careful attention to recruitment yielded acceptable response rates among all groups.
Adult↗
The effectiveness of an advance notice letter on the recruitment of African Americans and Whites for a mailed patient satisfaction survey.
OBJECTIVE: Evaluate an advance notice letter for enhancing patient satisfaction survey response rates in African Americans and Whites. METHODS: Randomized trial of an advance notice letter (versus no letter) mailed two weeks prior to a mail satisfaction survey in a random sample of 600 African American and White patients ages 50 and older, stratified by ethnicity, sex, and age. RESULTS: The advance letter was independently associated with a completed survey in Whites (odds ratio = 2.73; 95% confidence interval [CI] 1.66, 4.50), but not in African Americans (odds ratio = 1.24; 95% CI 0.76, 2.02). Being male was independently associated with returning a survey in Whites (odds ratio = 1.86; 95% CI 1.13, 3.06). Younger age (odds ratio = 0.98; 95% CI 0.96, 0.99) was independently associated with a completed survey in African Americans. DISCUSSION: An advance letter prior to a satisfaction survey is associated with increased response rates in Whites, but not in African Americans.
Black or African American↗
Population- and community-based recruitment of African Americans and Latinos: the San Francisco Bay Area Lung Cancer Study.
Empiric data on recruitment of minorities into clinical or population studies are limited. The authors evaluated population- and community-based recruitment methods in a 1998-2001 case-control study of lung cancer among African Americans and Latinos. For lung cancer cases in the San Francisco Bay Area of California, rapid case ascertainment by the tumor registry combined with telephone screening identified 470 (9%) African Americans and 262 (5%) Latinos. When random digit dialing (RDD) and Health Care Financing Administration (HCFA) records failed to yield adequate numbers of controls in appropriate age-gender-ethnicity groups, community-based recruitment methods were used. Demographic characteristics and behavioral and occupational risk factors for controls, by recruitment method, were compared with those for lung cancer cases to evaluate potential bias. The average numbers of hours spent per control recruited were 18.6 for RDD, 11.4 for HCFA, and less than 1 for the community-based methods. The prevalence of smoking-related lung cancer risk factors was significantly higher among African-American community-based controls than for those identified through RDD (p < 0.005). Compared with HCFA controls, Latino RDD controls reported significantly higher cumulative smoking exposure (p < 0.05). Further assessment of strategies for successful recruitment of minority participants into epidemiologic studies is warranted.
Adult↗
Advancing health disparities research: can we afford to ignore measurement issues?
BACKGROUND: Research on racial and ethnic health disparities in the United States requires that self-report measures, developed primarily in mainstream samples, are appropriate when applied in diverse groups. To compare groups, mean scores must reflect true scores and have minimal bias, assumptions that have not been tested for many self-report measures used in this research. OBJECTIVE: To identify conceptual and psychometric issues that need to be addressed to assure the quality of self-report measures being used in health disparities research. METHODS: We present 2 broad conceptual frameworks for health disparities research and describe the main research questions and measurement issues for 4 key concepts hypothesized as potential mechanisms of health disparities: socioeconomic status, discrimination, acculturation, and quality of care. This article is based on a small conference convened by 6 Resource Centers for Minority Aging Research (RCMAR) measurement cores. We integrate written materials prepared for the conference by quantitative and qualitative measurement specialists and cross-cultural researchers, conference discussions, and current literature. RESULTS: Problems in the quality of the conceptualizations and measures were found for all 4 concepts, and little is known about the extent to which measures of these concepts can be interpreted similarly across diverse groups. Many problems also apply to other concepts relevant to health disparities. We propose an agenda for accomplishing this challenging measurement research. CONCLUSIONS: The current national commitment to reduce health disparities may be compromised without more research on measurement quality. Integrated, systematic efforts are needed to move this work forward, including collaborative efforts and special initiatives.
Acculturation↗