Advertisement

Quality & Quantity

, Volume 45, Issue 3, pp 653–669 | Cite as

Bayesian data augmentation methods for the synthesis of qualitative and quantitative research findings

  • Jamie L. CrandellEmail author
  • Corrine I. Voils
  • YunKyung Chang
  • Margarete Sandelowski
Article

Abstract

The possible utility of Bayesian methods for the synthesis of qualitative and quantitative research has been repeatedly suggested but insufficiently investigated. In this project, we developed and used a Bayesian method for synthesis, with the goal of identifying factors that influence adherence to HIV medication regimens. We investigated the effect of 10 factors on adherence. Recognizing that not all factors were examined in all studies, we considered standard methods for dealing with missing data and chose a Bayesian data augmentation method. We were able to summarize, rank, and compare the effects of each of the 10 factors on medication adherence. This is a promising methodological development in the synthesis of qualitative and quantitative research.

Keywords

Meta-analysis Meta-synthesis Synthesis Cross-design synthesis Bayesian data augmentation Missing data Gibbs sampling 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

(*indicates HIV adherence report in Table 1)

  1. *Abel, E., Painter, L.: Factors that influence adherence to HIV medications: Perceptions of women and health care providers. J. Assoc. Nurses AIDS Care 14, 61–69 (2003)Google Scholar
  2. Albert J.H., Chib S.: Bayesian analysis of binary and polychotomous response data. J. Am. Stat. Assoc. 88, 669–679 (1993)CrossRefGoogle Scholar
  3. Barbour R.S., Barbour M.: Evaluating and synthesizing qualitative research: the need to develop a distinctive approach. J. Eval. Clin. Pract. 9, 179–186 (2003)CrossRefGoogle Scholar
  4. Berry D.A.: Bayesian clinical trials. Nat. Rev. Drug Discov. 5, 27–36 (2006)CrossRefGoogle Scholar
  5. Casella G., George E.I.: Explaining the Gibbs sampler. Am. Stat. 46, 167–174 (1992)CrossRefGoogle Scholar
  6. Chang Y., Voils C.I., Sandelowski M., Hasselblad V., Crandell J.L.: Transforming verbal counts in reports of qualitative descriptive studies into numbers. West. J. Nurs. Res. 31, 837–852 (2009)CrossRefGoogle Scholar
  7. Choi H., Shen R., Chinnaiyan A.M., Ghosh D.: A latent variable approach for meta-analysis of gene expression data from multiple microarray experiments. BMC Bioinformatics 8, 364 (2007)CrossRefGoogle Scholar
  8. Dixon-Woods M., Agarwal S., Jones D., Young B., Sutton A.: Synthesizing qualitative and quantitative evidence: a review of possible methods. J. Health Serv. Res. Policy 10, 45–53 (2005)CrossRefGoogle Scholar
  9. *Douglass, J.L., Sowell, R.L., Phillips, K.D.: Using Peplau’s theory to examine the psychosocial factors associated with HIV-infected women’s difficulty in taking their medications. J. Theory Constr. Test. 7, 10–17 (2003)Google Scholar
  10. *Durante, A.J., Bova, C.A., Fennie, K.P., Danvers, K.A., Holness, D.R., Burgess, J.D., et al.: Home-based study of anti-HIV drug regimen adherence among HIV-infected women: feasibility and preliminary results. AIDS Care. 15, 103–115 (2003)Google Scholar
  11. Eakin J.M., Mykhalovskiy E.: Reframing the evaluation of qualitative health research: reflections on a review of appraisal guidelines in the health sciences. J. Eval. Clin. Pract. 9, 187–194 (2003)CrossRefGoogle Scholar
  12. *Edwards, L.V.: Perceived social support and HIV/AIDS medication adherence among AfricanAmerican women. Qual. Health Res. 16, 679-691 (2006)Google Scholar
  13. *Gant, L.M., Welch, L.A.: Voices less heard: HIV-positive African American women, medication adherence, sexual abuse, and self-care. J. HIV/AIDS Soc. Serv. 3, 67–91 (2004)Google Scholar
  14. Gelman A., Carlin J.B., Stern H.S, Rubin D.B.: Bayesian Data Analysis (2nd edn). Chapman and Hall/CRC, Boca Raton, Florida (2004)Google Scholar
  15. Gerring J.: Case study research: Principles and practices. Cambridge University Press, New York (2007)Google Scholar
  16. Goldsmith M.R., Bankhead C.R., Austoker J.: Synthesizing quantitative and qualitative research in evidence-based patient information. J. Epidemiol. Community Health 61, 262–270 (2007)CrossRefGoogle Scholar
  17. Hammersley, M.: Systematic or unsystematic, is that the question? Some reflections on the science, art, and politics of reviewing research evidence. Paper presented to Public Health Evidence Steering Group of the Health Development Agency. Available via: National Institute for Clinical Excellence. http://www.nice.org.uk/niceMedia/pdf/sys_unsys_phesg_hammersley.pdf. Cited 2 February, 2009 (2002)
  18. Harden A., Thomas J.: Methodological issues in combining diverse study types in systematic reviews. Int. J. Soc. Res. Methodol. 8, 257–271 (2005)CrossRefGoogle Scholar
  19. Horrace W.C.: Some results on the multivariate truncated normal distribution. J. Multivar. Anal. 94, 209–221 (2005)CrossRefGoogle Scholar
  20. *Howard, A.A., Arnsten, J.H., Lo, Y., Vlahov, D., Rich, J.D., Schuman, P., et al.: A prospective study of adherence and viral load in a large multi-center cohort of HIV-infected women. AIDS 16, 2175–2182 (2002)Google Scholar
  21. *Ickovics, J.R., Wilson, T.E., Royce, R.A., Minkoff, H.L., Fernandez, M.I., Fox-Tierney, R., et al.: Prenatal and postpartum zidovudine adherence among pregnant women with HIV results of a MEMS substudy from the Perinatal Guidelines Evaluation Project. JAIDS: JAIDS 30, 311–315 (2002)Google Scholar
  22. Jones, D.R., Dixon-Woods, M., Abrams, K., Fitzpatrick, R.: Meta-analysis of qualitative and quantitative evidence: full report of research activities and results (ESRC ALCD 2 programme). Available by searching the ESRC social sciences repository. http://www.esrcsocietytoday.ac.uk. Cited 6 January, 2009. (2005)
  23. *Kalichman, S.C., Rompa, D., DiFonzo, K., Simpson, D., Austin, J., Luke, W., et al.: HIV treatment adherence in women living with HIV/AIDS: Research based on the Information-Motivation-Behavioral Skills Model of Health Behavior. J. Assoc. Nurses AIDS Care. 12, 58-67 (2001)Google Scholar
  24. Little R.J.A., Rubin D.B.: Statistical Analysis with Missing Data (2nd ed). Wiley, Hoboken, NJ (2002)Google Scholar
  25. *Liu, H., Longshore, D., Williams, J. K., Rivkin, I., Loeb, T., Warda, U. S., et al.: Substance abuse and medication adherence among HIV-positive women with histories of child sexual abuse. AIDS Behav. 10, 279–286 (2006)Google Scholar
  26. Mills E.J., Wilson K., Rachlis B., Griffith L., Wu P., Guyatt G., Cooper C.: Barriers to participation in HIV drug trials: a systematic review. Lancet Infect. Dis. 6, 32–38 (2006a)CrossRefGoogle Scholar
  27. Mills E.J., Seely D., Rachlis B., Griffith L., Wu P., Wilson K., Ellis P., Wright J.: Barriers to participation of clinical trials in cancer: a meta-analysis and systematic review of patent-reported factors. Lancet Oncol. 7, 141–148 (2006b)CrossRefGoogle Scholar
  28. *Misener, T.R., Sowell, R.L.: HIV infected women’s decisions to take antiretrovirals. West. J. Nurs. Res. 20, 431–447 (1998)Google Scholar
  29. *Mostashari, F., Riley, E., Selwyn, P. A., & Altice, F. L.: Acceptance and adherence with antiretroviral therapy among HIV-infected women in a correctional facility. JAIDS: JAIDS 18, 341–348 (1998)Google Scholar
  30. *Murphy, D.A., Greenwell, L., Hoffman, D.: Factors associated with antiretroviral adherence among HIV-infected women with children. Women Health 36, 97–111 (2002)Google Scholar
  31. *Phillips, K.D., Moneyham, L., Murdaugh, C., Boyd, M.R., Tavakoli, A., Jackson, K., et al.: Sleep disturbance and depression as barriers to adherence. Clin. Nurs. Res. 14, 273–293 (2005)Google Scholar
  32. Pope C., Mays N., Popay J.: Synthesizing qualitative and quantitative health evidence. Open University Press, Berkshire, England (2007)Google Scholar
  33. *Powell-Cope, G.M., White J., Henkelman, E.J., Turner, B.J.: Qualitative and quantitative assessments of HAART adherence of substance-abusing women. AIDS Care. 15, 239–249 (2003)Google Scholar
  34. *Richter, D.L., Sowell, R.L., Pluto, D.M.: Attitudes toward antiretroviral therapy among African American women. Am. J. Health Behav. 26, 25–33 (2002)Google Scholar
  35. *Roberts, K.J., Mann, T.: Barriers to antiretroviral medication adherence in HIV-infected women. AIDS Care 12, 377–386 (2000)Google Scholar
  36. Roberts K., Dixon-Woods M., Fitzpatrick R., Abrams K., Jones D.R.: Factors affecting uptake of childhood immunisation: an example of Bayesian synthesis of qualitative and quantitative evidence. Lancet 360, 1596–1599 (2002)CrossRefGoogle Scholar
  37. Sandelowski M., Voils C.I., Barroso J.: Comparability work and the management of difference in research synthesis studies. Soc. Sci. Med. 64, 236–247 (2007)CrossRefGoogle Scholar
  38. *Sankar, A., Luborsky, M., Schuman, P., Roberts, G.: Adherence discourse among African-American women taking HAART. AIDS Care 14, 203–218 (2002)Google Scholar
  39. *Schrimshaw, E.W., Siegel, K., Lekas, H.-M.: Changes in attitudes toward antiviral medication: a comparison of women living with HIV/AIDS in the pre-HAART and HAART eras. AIDS Behav. 9, 267–279 (2005)Google Scholar
  40. *Siegel, K., Gorey, E.: HIV-infected women: barriers to AZT use. Soc. Sci. Med. 45, 15–22 (1997)Google Scholar
  41. *Siegel, K., Lekas, H.-M., Schrimshaw, E.W., Johnson, J.K.: Factors associated with HIV-infected women’s use or intention to use AZT during pregnancy. AIDS Educ. Prev. 13, 189–206 (2001)Google Scholar
  42. *Sowell, R.L., Phillips, K.D., Seals, B.F., Misener, T.R., Rush, C.: HIV-infected women’s experiences and beliefs related to AZT therapy during pregnancy. AIDS Patient Care STDs 15, 201–209 (2001)Google Scholar
  43. *Stone, V.E., Hogan, J.W., Schuman, P., Rompalo, A.M., Howard, A.A., Korkontzelou, C., et al.: Antiretroviral regimen complexity, self-reported adherence, and HIV patients’ understanding of their regimens: survey of women in the HER Study. JAIDS: JAIDS 28, 124–131 (2001)Google Scholar
  44. Sutton A.J., Higgins J.P.T.: Recent developments in meta-analysis. Stat. Med. 27, 625–650 (2007)CrossRefGoogle Scholar
  45. Voils C.I., Sandelowski M., Barroso J., Hasselblad V.: Making sense of qualitative and quantitative findings in mixed research synthesis studies. Field Methods 20, 3–25 (2008)CrossRefGoogle Scholar
  46. Voils C.I., Hasselblad V., Crandell J.L., Chang Y., Lee E., Sandelowski M.: A Bayesian method for the synthesis of evidence from qualitative and quantitative reports: an example from the literature on antiretroviral medication adherence. J. Health Serv. Res. Policy 14, 226–233 (2009)CrossRefGoogle Scholar
  47. *Wilson, T.E., Barrón, Y., Cohen, M., Richardson, J., Greenblatt, R., Sacks, H.S., et al.: Adherence to antiretroviral therapy and its association with sexual behavior in a national sample of women with human immunodeficiency virus. Clin. Infect. Dis. 34, 529-534 (2002)Google Scholar
  48. *Wilson, T.E., Ickovics, J.R., Fernandez, M.I., Koenig, L.J., Walter, E.: Self-reported zidovudine adherence among pregnant women with human immunodeficiency virus infection in four US states. Am. J. Obstet. Gynecol. 184, 1235–1240 (2001)Google Scholar
  49. *Wood, S.A., Tobias, C., McCree, J.: Medication adherence for HIV-positive women caring for children: in their own words. AIDS Care 16, 909–913 (2004)Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • Jamie L. Crandell
    • 1
    • 2
    Email author
  • Corrine I. Voils
    • 3
  • YunKyung Chang
    • 2
  • Margarete Sandelowski
    • 2
  1. 1.Department of BiostatisticsUniversity of North Carolina at Chapel HillChapel HillUSA
  2. 2.School of NursingUniversity of North Carolina at Chapel HillChapel HillUSA
  3. 3.Health Services Research & Development ServiceDurham Veterans Affairs Medical Center & Duke University Medical CenterDurhamUSA

Personalised recommendations