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Division of Program Coordination, Planning, and Strategic Initiatives (DPCPSI) National Institutes of Health  •  U.S. Department of Health and Human Services

NIH Roadmap: Interdisciplinary Methodology and Technology Summit
August 21–22, 2006

Speaker References

Lora Burke, PhD, MPH, RN

Published papers related to Instrumented Paper Diary (IPD):

  1. Burke, L.E., Choo, J., Music, E., Warzisiki, M., Styn, M.A., Kim, Y., & Sevick, M.A. (2006). PREFER Study: A randomized clinical trial testing treatment preference and two dietary options in behavioral weight management: Rationale, design and baseline characteristics. Contemporary Clinical Trials,27,34-48.
  2. Burke, L.E., Sereika, S., Choo, J., Warzisiki, M., Music, E., Novak, J., & Stone, A. (2006) Ancillary Study to the PREFER Trial: A descriptive study of participants’ patterns of self-monitoring: Rationale, design and preliminary experiences. Contemporary Clinical Trials,27,23-33.

Published abstract related to IPD:

  1. Burke, L.E., Choo, J., Music, E., Warziski, M., Styn, M., Novak, J., & Sereika, S. (2006). Patterns of Self-Monitoring Behavior Affect Weight Change Among Weight Loss Study Participants. Annals of Behavioral Medicine, 31 (Suppl.), S017.

Other papers are in preparation. Presentations have been accepted for conferences in October 2006.

Papers by Arthur Stone and colleagues on their earlier work related to the use of the IPD and how it uncovered patterns of diary recording and self-report may be of value.

Mahasin Mujahid, PhD Candidate

Reference List: most articles are advanced/specialized

  1. Diez Roux, A.V., Residential environments and cardiovascular risk. J Urban Health, 2003. 80(4): p. 569-89.
  2. Echeverria, S.E., A.V. Diez-Roux, and B.G. Link, Reliability of self-reported neighborhood characteristics. J Urban Health, 2004. 81(4): p. 682-701.
  3. Raudenbush, S.W. and R.J. Sampson, Ecometrics: Toward a Science of Assessing Ecological Settings, With Application to the Systematic Social Observation of Neighborhoods. Sociological Methodology, 1999. 29(1): p. 1-41.
  4. Raudenbush, S.W. and A.S. Bryk, Hierarchical linear models : applications and data analysis methods, 2nd edition. 2002: Sage Publications, Inc.
  5. Gauvin, L., et al., From walkability to active living potential: an "ecometric" validation study. Am J Prev Med, 2005. 28(2 Suppl 2): p. 126-33.

Chih-Hung Chang, PhD

Novel Pain Assessment and Intervention Network (NoPAIN) project.

Beginner/introductory:

  1. Chang CH, Reeve BB. Item response theory and its applications to patient-reported outcomes measurement. Eval Health Prof. Sep 2005;28(3):264-282.
  2. Chang CH, Cella D, Masters GA, et al. Real-time clinical application of quality-of-life assessment in advanced lung cancer. Clin Lung Cancer. Sep 2002;4(2):104-109.
  3. Chang C-H, Cella D. Equating health-related quality of life instruments in applied oncology settings. Physical Medicine and Rehabilitation: States of the Art Reviews. 1997;11(2):397-406.
  4. Payne TH. Computer decision support systems. Chest. Aug 2000;118(2 Suppl):47S-52S.
  5. AGS clinical practice guidelines: the management of chronic pain in older persons. Geriatrics. Oct 1998;53 Suppl 3:S6-7.

Advanced/specialized:

  1. Embretson SE, Reise SP. Item response theory for psychologists. Mahwah, N.J.: Lawrence Erlbaum Associates Publishers; 2000.
  2. Wainer H, ed. Computerized adaptive testing: A primer (2nd ed.); 2000.
  3. Shortliffe EH. Medical informatics : computer applications in health care and biomedicine. 2nd ed. New York: Springer; 2001.
  4. Turk DC, Gatchel RJ, eds. Psychological approaches to pain management: A practitioner's handbook (2nd ed.). New York, NY, US: Guilford Press; 2002.

Emilio A. Parrado, PhD

General:

  1. Parrado, Emilio A., Chris McQuiston, and Chenoa Flippen. 2005. “Participatory Survey Research: Integrating Community Collaboration and Quantitative Methods for the Study of Gender and HIV Risks among Hispanic Migrants.” Sociological Methods and Research 34(2): 204-239.

More specific:

  1. Parrado, Emilio A. and Chenoa Flippen. 2005. “Migration and Gender among Mexican women” American Sociological Review 70(4): 606-632.
  2. Parrado, Emilio A., Chenoa Flippen, and Chris McQuiston. 2005. “Migration and Relationship Power among Mexican Women.” Demography, 42(2): 347-372.
  3. Parrado, Emilio A., Chenoa A. Flippen, and Chris McQuiston. 2004. “Use of Commercial Sex Workers among Hispanic Migrants in North Carolina: Implications for the Spread of HIV.” Perspectives on Sexual and Reproductive Health 36(4): 150-156.

Keith Whitfield, PhD

  1. Whitfield, K.E. (Ed.)(2004). Closing the Gap: Improving the health of Minority Elders in the New Millennium. Gerontological Society of American, Washington D.C. (available at www.gsa.org Exit Disclaimer).
  2. Whitfield, K. E., & Baker, T. A. (1999). Individual differences in aging among African-Americans. International Journal of Aging and Human Development, 48/(1), 73-79.
  3. Whitfield, K. E., & Willis, S. (1998). Conceptual Issues and Analytic Strategies
  4. for Studying Cognition in Older African Americans. African-American Research Perspectives, 4/(1), 115-125.
  5. Whitfield, K. E., Fillenbaum, G., Pieper, C., Seeman, T, E., Albert, M.S., Berkman, L.F., Blazer, D.G., & Rowe, J.W. (2000). The effect of race and health related factors on naming and memory: The MacArthur Studies of Successful Aging. Journal of Aging and Health, 12/(1), 69-89.
  6. Whitfield, K.E., Baker-Thomas, T.A. Heyward, K., Gatto, M., & Williams, Y. (1999). Evaluating a measure of everyday problem solving for use in African-Americans. Experimental Aging Research, 25(3), 209-222.
  7. Allaire, J.C., & Whitfield, K.E. (2004). Relationships among education, age, and cognitive functioning in older African Americans: The impact of desegregation. Aging, Neuropsychology, and Cognition, 11(4), 443-449.
  8. Whitfield, K.E., Allaire, J.C., & Wiggins, S.A. (2004). Relationships between health factors and everyday problem solving in African Americans. Health Psychology, 23(6), 641-644.

Arthur A. Stone, PhD

  1. Stone, A.A., & Shiffman, S. Ecological Momentary Assessment (EMA) in behavioral medicine. Annals of Behavioral Medicine, 1994, 16, 199-202.
  2. Stone, A.A., Schwartz, J.E., Neale, J.M., Shiffman, S., Marco, C.A., Hickcox, M., Paty, J., Porter, L.S., Cruise, L.J. How accurate are current coping assessments? A comparison of momentary versus end-of-day reports of coping efforts. Journal of Personality and Social Psychology, 1998, 74, 1670-1680.
  3. Stone, A.A., Shiffman, S.S., & DeVries, M. Ecological momentary assessment. In Kahneman, D., Diener, E., & Schwarz, N. (Eds.). Well-being: The foundations of hedonic psychology. New York: Russell Sage Foundation, 1999, 26-39.
  4. Stone, A.A., Broderick, J.B., Kaell, A.T., DelesPaul, P.A.E.G. & Porter, L. Does the Peak–End phenomenon observed in laboratory pain studies apply to real-world pain in rheumatoid arthritics? Journal of Pain, 2000, 1, 212-217.
  5. Gorin, A.A. & Stone, A.A. Recall biases and cognitive errors in retrospective self-reports: A call for momentary assessments. In A. Baum, T. Revenson, & J. Singer (Eds.), Handbook of Health Psychology. N.J.: Erlbaum, 2001, 405-413.
  6. Stone, A.A., Shiffman, S.S., Schwartz, J.E., Hufford, M. & Broderick, J.B. Patient non-compliance with paper diaries. British Medical Journal, 2002, 324, 1193-1194.
  7. Stone, A.A., Broderick, J.E., Shiffman, S.S., & Schwartz, J.E. Understanding recall of weekly pain from a momentary assessment perspective: Absolute agreement, between- and within-person consistency, and judged change in weekly pain. Pain, 2004, 107, 61-69.
  8. Stone, A.A., Schwartz, J.E., Broderick, J.E. & Shiffman, S. Variability of momentary pain predicts recall of weekly pain: A consequence of the peak (or salience) memory heuristic. Personality and Social Psychology Bulletin, 2005, 31, 1340-1346.

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This page last reviewed: January 25, 2008