| Literature DB >> 29273030 |
Tenzin Wangmo1, Veerle Provoost2.
Abstract
BACKGROUND: The use of empirical research methods in bioethics has been increasing in the last decades. It has resulted in discussions about the 'empirical turn of bioethics' and raised questions related to the value of empirical work for this field, methodological questions about its quality and rigor, and how this integration of the normative and the empirical can be achieved. The aim of this paper is to describe the attitudes of bioethics researchers in this field towards the use of empirical research, and examine their actual conduct: whether they use empirical research methods (and if so, what methods), and whether (and how) they have made attempts at integrating the empirical and the normative.Entities:
Keywords: Bioethics; Empirical bioethics; Empirical research; Qualitative research; Quantitative research
Mesh:
Year: 2017 PMID: 29273030 PMCID: PMC5741864 DOI: 10.1186/s12910-017-0239-0
Source DB: PubMed Journal: BMC Med Ethics ISSN: 1472-6939 Impact factor: 2.652
Demographic characteristics of the study sample and population
| Study sample ( | Study population ( | |||
|---|---|---|---|---|
|
| % |
| % | |
| Gender | ||||
| Man | 83 | 40.5 | 198 | 45.0 |
| Woman | 117 | 58.5 | 242 | 55.0 |
| Age category a | ||||
| ≤ 34 years | 69 | 34.8 | – | – |
| 35–44 years | 78 | 39.4 | – | – |
| ≥ 45 years | 51 | 25.8 | – | – |
| Education | ||||
| Master’s degree | 39 | 19.5 | – | – |
| PhD or equivalent | 148 | 74.0 | – | – |
| Other | 13 | 6.5 | – | – |
| Position | ||||
| Professor | 57 | 28.5 | – | – |
| Post-doc or senior researcher | 81 | 40.5 | – | – |
| PhD-students | 62 | 31.0 | – | – |
aData missing for two cases for ‘age category’ in the study sample
bData for the population (all bioethics scholars who received our survey) contained missing values up to 70% (e.g. age) because this data was either not available on the public domain (institution websites) or provided using labels that did not allow categorisation (such as for data on background or degrees). Moreover, the data on education and position were mutually contradictory indicating that information online was not updated. We therefore could only use the data on gender (data missing for 29 cases for the study population) to compare the response group with the non-response group
Chi2 test was run to compare the study sample with the nonresponse (study population minus the study sample) for gender. No significant difference was found
Education in and experience with empirical research (N = 200)
|
| % | |
|---|---|---|
| Qualitative methods as part of the education | ||
| Yes | 122 | 61.0 |
| No | 78 | 39.0 |
| Quantitative methods as part of the education | ||
| Yes | 118 | 59.0 |
| No | 82 | 41.0 |
| Type of methodological educationa | ||
| Only qualitative | 28 | 14.0 |
| Only quantitation | 24 | 12.0 |
| Mixed method | 94 | 47.0 |
| No methods education | 54 | 27.0 |
| Past experience in empirical work | ||
| Ever collected empirical data | 143 | 71.5 |
| Ever analysed empirical data | 149 | 74.5 |
| Ever supervised empirical research | 103 | 51.5 |
| Years of experience with empirical research | ||
| 3 years or less | 77 | 38.5 |
| 4–7 years | 56 | 28.0 |
| 8 years or more | 67 | 33.5 |
| Experience as supervisor of PhD-students | ||
| Yes | 85 | 42.5 |
| No | 115 | 57.5 |
| Proportion of work time spent on empirical workb c | ||
| 30% or less | 116 | 58.9 |
| 31–60% | 62 | 31.5 |
| More than 60% | 19 | 9.6 |
| Proportion of work time spent on normative workb c | ||
| 30% or less | 95 | 47.7 |
| 31–60% | 57 | 28.6 |
| More than 60% | 47 | 23.6 |
| Willingness to conduct empirical research projects in the future | ||
| Yes | 140 | 70.0 |
| No | 60 | 30.0 |
aVariable computed based on two questions related to qualitative and quantitative methods being part of education
bData missing for two cases for ‘proportion of time spent on empirical work’ and one case for ‘proportion of time spent on normative work’. cthese were not continuous variables and thus mean and range cannot be presented
Collaboration with other disciplines and empirical methods used
| Research so far ( | Current research project ( | |||
|---|---|---|---|---|
| Collaboration with other disciplines |
| % |
| % |
| Medicine | 132 | 75.4 | 111 | 63.4 |
| Philosophy | 124 | 70.9 | 107 | 61.1 |
| Sociology | 91 | 52.0 | 67 | 38.3 |
| Psychology | 61 | 34.1 | 47 | 26.9 |
| Other | 47 | 26.9 | 39 | 22.3 |
| Anthropology | 37 | 21.1 | 22 | 12.6 |
| None | 0 | 0.0 | 4 | 2.3 |
| Methods used | n | % | n | % |
| Qualitative | 58 | 33.1 | 87 | 51.2 |
| Quantitative | 13 | 7.4 | 24 | 14.1 |
| Both qualitative and quantitative | 104 | 59.4 | 59 | 34.7 |
aNumber and percentage of respondents who stated “Yes”
Type of methods used by empirical researchers
| Study sample ( | ||
|---|---|---|
|
| % | |
| Qualitative methods | ||
| Content analysis | 101 | 57.7 |
| Thematic analysis | 97 | 55.4 |
| Grounded theory | 72 | 41.1 |
| Phenomenology | 33 | 18.9 |
| Narrative analysis | 31 | 17.7 |
| Discourse analysis | 29 | 16.6 |
| Quantitative methods | ||
| Descriptive analysis | 104 | 59.4 |
| Inferential statistics | 66 | 37.7 |
aNumber of respondents stating “Yes”; Percentages listed here do not add up since participants could choose more than one qualitative approach and quantitative methods
Qualitative and quantitative methodological competence (N = 175)
| Expert | Familiar | Beginner | Never used | Don’t know | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
| % |
| % |
| % |
| % |
| % | |
| Qualitative methods | ||||||||||
| Thematic Analysis ( | 6 | 4.2 | 84 | 58.3 | 22 | 15.3 | 19 | 13.2 | 13 | 9.0 |
| Content Analysis ( | 8 | 5.8 | 91 | 66.4 | 14 | 10.2 | 17 | 12.4 | 7 | 50.1 |
| Grounded Theory (n = 130) | 7 | 5.4 | 64 | 49.2 | 19 | 14.6 | 28 | 21.5 | 12 | 9.2 |
| Phenomenology ( | 3 | 2.5 | 29 | 24.6 | 18 | 15.3 | 51 | 43.2 | 17 | 14.4 |
| Narrative Analysis ( | 4 | 3.4 | 41 | 35.3 | 13 | 11.2 | 48 | 41.4 | 10 | 8.6 |
| Discourse Analysis ( | 4 | 3.5 | 35 | 33.0 | 15 | 13.0 | 47 | 40.9 | 14 | 12.2 |
| Quantitative methods | ||||||||||
| Descriptive statistics ( | 6 | 5.4 | 72 | 73.8 | 18 | 16.2 | 3 | 2.7 | 2 | 1.8 |
| Inferential statistics ( | 2 | 2.0 | 53 | 54.1 | 25 | 25.5 | 5 | 5.1 | 13 | 13.3 |
Integration of the normative and the empirical (N = 175)
|
| % | |
|---|---|---|
| The current project entails a normative questiona | ||
| Yes | 130 | 76.0 |
| No | 41 | 24.0 |
| Ever carried out an integration of empirical research findings and normative analysis | ||
| Yes | 62 | 35.4 |
| No | 113 | 64.6 |
| Planning integration of the normative and empirical for the current projecta | ||
| Yes | 101 | 59.8 |
| No | 68 | 40.2 |
avariables have missing values
Attitudes of bioethics scholars towards the use of empirical researcha
| All respondents ( | All empirical researchers ( | Integrators of Normative and Empirical ( | Non-Integrators of Normative and Empirical ( | |||||
|---|---|---|---|---|---|---|---|---|
|
| % |
| % |
| % |
| % | |
| I find it positive that empirical research is done in the field of bioethicsc | 189 | 94.5 | 170 | 97.1 | 62 | 100 | 108 | 95.6 |
| Empirical research is valuable in describing the context of an ethical problem | 193 | 96.5 | 169 | 96.6 | 61 | 98.4 | 108 | 95.6 |
| Empirical research is valuable for normative analysisc | 156 | 78.0 | 140 | 80.0 | 56 | 90.3 | 84 | 74.3* |
| There is/are clear method(s) to integrate empirical findings into normative analysis | 57 | 28.5 | 50 | 28.6 | 16 | 25.8 | 34 | 30.1 |
| I fear that the trend towards empirical research in bioethics is leading bioethics away from normative work | 48 | 24.0 | 39 | 22.3 | 11 | 17.7 | 28 | 24.8 |
| Bioethics needs its own empirical research Methodologyc | 85 | 42.5 | 76 | 43.4 | 23 | 37.1 | 53 | 46.9 |
| Researchers in the field of bioethics should have the skills to interpret empirical findings | 186 | 93.0 | 162 | 92.6 | 56 | 90.3 | 106 | 93.8 |
| Researchers in the field of bioethics should have the skills to conduct their own empirical researchc | 110 | 55.0 | 100 | 57.1 | 30 | 48.4 | 70 | 61.9 |
aRespondents answering ‘strongly agree’ or ‘agree’ within each category
b‘Integrators of normative and empirical’ was defined as respondents who answered positive to the question: “Have you ever carried out a study to integrate empirical research findings and normative analysis”
*p ≤ 0.05. p-value based on Chi2 test were run for selected questions (c) based on descriptive responses. We compared ‘integrators’ and ‘non-integrators’ of empirical research methods. Bonferroni correction applied for multiple testing