The purpose of this article is to compare three qualitative approaches that can be used in health research: phenomenology, discourse analysis, and grounded theory. The authors include a model that summarizes similarities and differences among the approaches, with attention to their historical development, goals, methods, audience, and products. They then illustrate how these approaches differ by applying them to the same data set. The goal in phenomenology is to study how people make meaning of their lived experience; discourse analysis examines how language is used to accomplish personal, social, and political projects; and grounded theory develops explanatory theories of basic social processes studied in context. The authors argue that by familiarizing themselves with the origins and details of these approaches, researchers can make better matches between their research question(s) and the goals and products of the study.
Purpose: Sharing study data within the research community generates tension between two important goods: promoting scientific goals and protecting the privacy interests of study participants. This study was designed to explore the perceptions, beliefs, and attitudes of research participants and possible future participants regarding genome-wide association studies and repository-based research. Methods: Focus group sessions with (1) current research participants, (2) surrogate decision-makers, and (3) three age-defined cohorts (18 -34 years, 35-50, Ͼ50). Results: Participants expressed a variety of opinions about the acceptability of wide sharing of genetic and phenotypic information for research purposes through large, publicly accessible data repositories. Most believed that making de-identified study data available to the research community is a social good that should be pursued. Privacy and confidentiality concerns were common, although they would not necessarily preclude participation. and increased the feasibility of genome-wide association studies (GWAS), and still more comprehensive genomic investigation, in the form of whole-exome research and full genome re-sequencing, is on the horizon. Because the contribution of individual gene variants to common diseases tends to be small, and because more definitive mutations tend to be quite rare, these forms of research require large sample sizes-in some cases, tens of thousands of participants. 1,2 Sharing study data within the research community is an attractive solution to the problem of amassing sufficient datasets; it also promises to increase research efficiencies, maximizing the utility of existing datasets while minimizing participant burden. These benefits have informed policies of the National Institutes of Health (NIH) aimed at promoting data sharing. 3,4 However, making such data available to the research community generates tension between two important goods: advancing scientific goals and protecting the privacy interests of study participants. [5][6][7][8][9] Because every person's DNA is unique, the traditional means of safeguarding research participants' privacy-de-identification of study data and biospecimensdoes not guarantee protection. 10 -14 In addition, trade-offs exist between de-identification and other possible participant concerns, such as the ability to receive individual research findings or the ability to withdraw from research participation. 9,15,16 Numerous previous studies have characterized potential participants' views about willingness to participate in biobanks and related forms of population-based genomic research and how informed consent ought to be handled. [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33] There are also some published reports regarding participants' views about research access to medical record data. 34 -39 However, relatively little is known about participants' and the general public's attitudes and perceptions regarding newer data-sharing mechanisms, such as the Federal database of...
Background: In the United States, an estimated 70 stillbirths occur each day, on average 25,000 each year. Research into the prevalence and causes of stillbirth is ongoing, but meanwhile, many parents suffer this devastating loss, largely in silence, due to persistent stigma and taboo; and many health providers report feeling ill equipped to support grieving parents. Interventions to address bereavement after neonatal death are increasingly common in U.S. hospitals, and there is growing data on the nature of parent bereavement after a stillbirth. However, further research is needed to evaluate supportive interventions and to investigate the parent-clinician encounter during hospitalization following a stillbirth. Qualitative inquiry offers opportunities to better understand the lived experience of parents against the backdrop of clinicians' beliefs, intentions, and well-meaning efforts to support grieving parents. Methods: We present a secondary qualitative analysis of transcript data from 3 semi-structured focus groups conducted with parents who had experienced a stillbirth and delivered in a hospital, and 2 focus groups with obstetrician-gynecologists. Participants were drawn from the greater Seattle region in Washington State. We examine parents' and physicians' experiences and beliefs surrounding stillbirth during the clinical encounter using iterative discourse analysis. Results: Women reported that the cheery, bustling environment of the labor and delivery setting was a painful place for parents who had had a stillbirth, and that the well-meaning attempts of physicians to offer comfort often had the opposite effect. Parents also reported that their grief is deeply felt but not socially recognized. While physicians recognized patients' grief, they did not grasp its depth or duration. Physicians viewed stillbirth as an unexpected clinical tragedy, though several considered stillbirth less traumatic than the death of a neonate. In the months and years following a stillbirth, these parents continue to memorialize their children as part of their family. Conclusions: Hospitals need to examine the physical environment for deliveries and, wherever possible, offer designated private areas with staff trained in stillbirth care. Training programs in obstetrics need to better address the bereavement needs of parents following a stillbirth, and research is needed to evaluate effective bereavement interventions, accounting for cultural variation. Critical improvements are also needed for mental health support beyond hospitalization. Finally, medical professionals and parents can play an important role in reversing the stigma that surrounds stillbirth.
No consensus exists about when researchers need additional participant consent (re-consent) to submit existing data to the federal database of Genotypes and Phenotypes (dbGaP). Reconsent for submission of their data to dbGaP was sought from 1,340 study participants, 1,159 (86%) of whom agreed. We invited the first 400 of those who agreed to complete a telephone survey about their reasoning for their consent decision and their satisfaction with the re-consent process; 365 participants completed the survey. Respondents reported that it was very (69%) or somewhat (21%) important that they were asked for their permission. Many respondents considered alternatives to consent, such as notification-only or opt-out, to be unacceptable (67% and 40%, respectively). These results suggest that re-consent for dbGaP deposition may be advisable in certain cases to anticipate and honor participant preferences.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.