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Record W4321612446 · doi:10.1002/ejp.2087

Promoting inclusion, diversity and equity in pain science

2023· editorial· en· W4321612446 on OpenAlexaffabout
Tonya M. Palermo, Karen D. Davis, Didier Bouhassira, Robert W. Hurley, Joel Katz, Francis J. Keefe, Michael E Schatman, Dennis C. Turk, David Yarnitsky

Bibliographic record

VenueEuropean Journal of Pain · 2023
Typeeditorial
Languageen
FieldMedicine
TopicSex and Gender in Healthcare
Canadian institutionsOntario Brain InstituteYork UniversityUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsRacismEmotiveEugenicsPsychologyEquity (law)SociologyGender studiesSocial psychologyPolitical scienceLawAnthropology

Abstract

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Science and medicine have a long and troubling history of reinforcing racist, antiethnic and sexist attitudes and beliefs, as well as ignoring and mistreating marginalized people. In their editorial in Nature (Nobles et al., 2022), entitled “Science must overcome its racist legacy”, Nobles and colleagues describe how the scientific enterprise has reinforced racist beliefs and cultures over time. For example, the authors discuss the impact of colonization on racism, including how apartheid, imperialism, colonialism, slavery and eugenics were memorably endorsed by science. They then assert that acknowledging and learning this history is necessary if we are to restore, rebuild and avoid perpetuating these injustices. Similarly, there is a long history of exclusion of women from science and medicine as a profession due to structural discrimination as well as exclusion of women from research participation in clinical trials to develop pharmacologically based therapeutics (Becher & Oertelt-Prigione, 2022). The science of pain is no exception. As Bourke (2014) explores in an article on the history of pain sensitivity, misconceptions about pain sensitivity put forth by physicians and scientists from 1800 to 1965 reified existing social hierarchies. It was believed that sensitivity to painful stimuli was linked to different personalities that were biologically defined by race, sex or religion, thereby reinforcing existing racist and sexist science. Unfortunately, myths regarding pain and implicit biases persist, with some studies suggesting that gender stereotypes influence pain estimates due to beliefs that women are more emotive and men are more stoic (Zhang et al., 2021). This can contribute to an underestimation of pain in female persons, a finding reinforced by studies on estimating pain in both adults and children (Earp et al., 2019). Racial misconceptions regarding heightened pain tolerance among Blacks also continue to persist. For example, a recent study determined that White medical students and lay people endorsed beliefs that there were biological differences (i.e. having thicker skin) that accounted for higher pain tolerance in Black individuals, and these beliefs were linked with racial bias in pain treatment recommendations (Hoffman et al., 2016). Misconceptions and biases pertaining to age and development have also influenced pain treatment and pain science. For example, until the 1980s, an erroneous belief that infants did not feel pain resulted in major surgeries being performed on infants without anaesthesia (Rodkey & Pillai Riddell, 2013). At the other end of the age spectrum, there has been an exclusion of adults over age 65 years from studies evaluating pain therapies (Carvalho do Nascimento et al., 2019). Indeed, disparities in pain management and quality of care are profound. The undertreatment of pain in racial minority groups was brought to the forefront three decades ago (Todd et al., 1993); nevertheless, pain care continues to be strongly influenced by biases and misconceptions about pain. An extensive body of research documents pain inequities by sociodemographic characteristics (e.g. racialized group, ethnicity, age, sex, gender identity, socioeconomic position, regional location) (Janevic et al., 2022) and by sexual minority status (Abd-Elsayed et al., 2021). Tragically, in many instances, the individuals who experience the greatest burden from pain are the same individuals who are underrepresented in studies that seek to understand and alleviate pain (Janevic et al., 2022). Thus, recent calls to action have been put forth to make pain research more inclusive and to use antiracist principles in the conduct, reporting and interpretation of pain research (Hood et al., 2022; Letzen et al., 2022; Morais et al., 2022). As editors of journals in the field of pain research and medicine (Canadian Journal of Pain, Clinical Journal of Pain, European Journal of Pain, Journal of Pain, Journal of Pain Research, PAIN, Pain Medicine and PAIN Reports), we are united in our commitment to eliminate disparities in pain science and to provide an inclusive environment for scholarship and publishing. Therefore, we endorse calls for greater inclusion in the conduct of science and also in scholarship regarding the reporting, reviewing and disseminating of evidence (Buchanan et al., 2021). Reviewers and editors serve an important gate-keeping role and can help bring attention to racist and sexist beliefs and promote fairness and equity, while helping to facilitate trust and restore power imbalances. We acknowledge that concerted attention is needed to increase representation in pain research in order to support inclusion, diversity and equity in the articles published in pain journals. We also acknowledge that the ideas in this editorial reflect decades of work by health equity scholars, and we recognize and honour their contributions to the field (please see the reference list, which while not exhaustive, highlights work from a number of these scholars). Below we describe and endorse four inter-related principles to guide authors in their article submissions to our journals. These principles can also inform journal policies and serve as a guide for reviewers, editors and publishers. For authors: There is strong evidence that women and people of colour are under-cited in the scientific literature across a large range of topic areas (Dworkin et al., 2020). This lack of acknowledgement, recognition and valorization of ideas contributes to inequities in pain science. We ask authors to think carefully about the diversity of their citations of the literature and whether they have consciously or unconsciously omitted work by authors based on their sex, gender, race, ethnicity, geographic location or reputation of institution where research was conducted. At this time, we are aware of one tool developed to understand representativeness of citations, specifically gender citation balance, the Gender Citation Balance Index (GCBI) tool (“GCBI-alizer”; https://postlab.psych.wisc.edu/gcbialyzer/) that was introduced in 2021 in the Journal of Cognitive Neuroscience (Postle & Fulvio, 2021). We encourage the development of additional software in the future to assist authors in recognizing the diversity of their citations. For reviewers, editors and publishers: We encourage, embrace and support diversity among our reviewers, editors and editorial boards to provide a broader perspective of ideas, promote high quality and more generalizable science. We aim to nurture the growth of a diverse pipeline of scientists who are prepared for future editorial leadership. We ask reviewers to think carefully about biases and assumptions that they may hold (e.g. knowing the author's gender, country of origin, reputation of their institution) that affect their evaluation of manuscripts including their opinions on the accuracy and reliability of findings. We encourage the use of available tools to help reviewers understand and challenge common biases and assumptions (Foster et al., 2021). For authors: As suggested in the American Psychological Association general principles (American Psychological Association, 2021) for reducing bias, “Choose labels with sensitivity, ensuring that the individuality and humanity of people are respected”. The International Committee of Medical Journal Editors (ICMJE) recommends that authors use “neutral, precise, and respectful language to describe study participants and avoid the use of terminology that might stigmatize participants”. Given the international scope of our journals, we recognize that terminology can be particularly challenging given differing meanings of terms globally and limitations of direct translation. In general, we suggest use of language that is as inclusive and bias-free as possible. There are available style guides (e.g. the APA Style and Grammar Guidelines for Bias-Free Language and the AMA Style Manual: Inclusive Language) that should be consulted for best practices (Frey & Young, 2020). These style guides cover a variety of issues (describing sex and gender, personal pronouns, race and ethnicity, socioeconomic status, sexual orientation and terms for describing people with diseases, disorders or disabilities, as well as inclusive practices for presenting demographic data) and provide both problematic and preferred examples of language to convey respect and inclusivity. Recommendations for describing people with painful conditions would include person-first terms such as “people living with chronic pain” or “patients with chronic pain” instead of the term “chronic pain patients”. Inclusive language should avoid negative and condescending terminology. Another aspect of inclusive language for authors to follow is to avoid using terms for a particular group (e.g. Whites, men, able-bodied) that suggest they are the “normal” comparator and that other groups (e.g. racialized, women, disabled) are the “abnormal” comparator or deviant. Rather, authors should use terms that maintain equality. We encourage all authors to become familiar with these guides and to also be aware that they are periodically updated as societal norms continue to evolve. For authors: Inclusion is important across all types of pain research. It is well documented that women (and females in preclinical research) have been underrepresented (or omitted) in many areas of research in human based studies, clinical trials, as well as animal studies. For example, in an examination of animal studies published in PAIN over a 10-year period, Greenspan and colleagues (Greenspan et al., 2007) found that only male animals were included for 79% of the studies. To address sex and gender bias in research, the Sex And Gender Equity in Research (SAGER) international guideline was established (Heidari et al., 2016), which provides recommendations on not only the conduct of more inclusive science but also in reporting of sex and gender information in study design, data analysis, results and interpretation of findings. Consistent with these guidelines, in animal experiments, we call for the inclusion of both male and female animals in studies unless there is a solid scientific rationale against doing so. In human studies, inclusion of representative groups by sex, gender, age, race, ethnicity among other forms of diversity is key to gaining knowledge to address pain assessment and treatment inequities. Our guidance is also consistent with the ICMJE recommendations on the conduct, reporting, editing and publication of scholarly work in medical journals (International Committee of Medical Journal Editors, 2022), which strongly encourages clinical researchers to aim for inclusion of representative populations in their studies and to also provide relevant demographic variables whenever possible. We encourage reporting demographic variables in as detailed a fashion as possible to describe human participants, as well as description of sex of cells or tissue cultures and animals. The SAGER guidelines recommend careful use of terminology for sex (biological variable) and gender (socially constructed variable) to reduce confusing both terms. We recognize, however, that there will be differences in availability and suitability of certain demographic data such as race, ethnicity, sex or gender, based in different countries. Moreover, measurement frameworks for culture, race and ethnicity differ worldwide and thus may not be commonly or consistently presented or even valid. However, consistent with ICJME recommendations, whenever possible, authors should define how they determined sex, gender, race or ethnicity and how data were collected (e.g. self-report, medical record). If race or ethnicity data were not collected, authors should explain why it was not collected. In studies in which representative samples are not included, we encourage authors to reflect on. For authors: We call on authors to include data analyses on disaggregated data based on demographic variables to facilitate future pooling and meta-analysis and to report results separately by sex (e.g. analyse clinical trial outcome data separately for men and women). This is consistent with the Canadian Institutes of Health Research (CIHR) (https://cihr-irsc.gc.ca/e/50836.html) guidelines for sex and gender based analysis (SGBA) (Canadian Institute of Health Research, n.d.) as well as the ICMJE recommendations to separate reporting of data by demographic variables, such as age and sex, unless there are compelling reasons not to do so. We also encourage authors to carefully consider their analysis of and interpretations of data relating to differences in pain based on sex, gender, race and ethnicity using frameworks that account for cultural and social experiences. Sex differences in pain are now clearly documented (Bartley & Fillingim, 2013; Hurley & Adams, 2008), and careful attention to analysing sex differences in animal and human experiments has helped to identify sex-specific mechanisms of acute and chronic pain processing. Some funding agencies now mandate inclusion of sex as a biological variable into preclinical research, which is associated with increasing numbers of studies investigating sex differences in pain and analgesia (Mogil, 2020). However, with this increased focus comes the risk that research in this important area will be misinterpreted and misrepresented. Fallacies regarding sex differences have been described (Maney, 2016); for example, sex differences are caused only by genetic or hormonal influences rather than by social experience. Such arguments ignore the effects of sex-specific experience and can unfortunately reinforce sex stereotypes and limit understanding of sex and gender differences in pain (Osborne & Davis, 2022). Misinterpretation of findings pertaining to race and ethnicity is common. Historically, authors have treated race and ethnicity as biological constructs in their analyses and in their interpretation and discussion of findings (e.g. differences between racial groups reflect biological variation rather than inequities based on social or cultural factors). However, there is compelling and convincing evidence that is now becoming commonly accepted that race and ethnicity are not biological categories, but rather are socially defined (Deyrup & Graves, 2022). Unfortunately, the consequences of longstanding misinterpretations have been severe and have excluded individuals from healthcare and research resources (e.g. assuming that any differences in health outcomes between Black people and White people are based on fundamental differences in biology and that health care should be provided differently) (Vyas et al., 2020). Consistent with guidance published by Flanagin et al. (2021) for the JAMA Network, we encourage authors to consider and include when possible, measures of cultural and social experiences, such as discrimination, poverty and access to care, as well as the intersectionality of race, sex and ethnicity with these other factors. Authors are encouraged to not report race or ethnicity in isolation but to include a combination of these other sociodemographic and social determinants to further advance understanding of racial, sex and ethnic disparities in pain. For reviewers and editors: We encourage reviewers to consider how data are presented and whether current norms allow for subgroup analyses by demographic variables. Reviewers should consider how analyses of racial, ethnic, gender or sex differences are presented and interpreted. Reviewers and editors should be aware of biases that reinforce racist, antiethnic and sexist stereotypes. When examining data on racial, ethnic, gender and sex differences in pain, consideration of whether appropriate analyses have been presented to allow understanding of variation and overlap between groups (as opposed to a difference only) and discussion of the explanatory factors that covary with sex, gender, race or ethnicity strengthen the meaning and generalizability of findings. Reviewers can encourage authors to consider cultural and social experiences in interpretations of findings if these have not been explored to improve the quality of research. We ask that editors carefully weigh these concerns when making decisions about the appropriateness of publication of a manuscript. Each of the represented pain journals is a developing policy to implement these four principles using its own strategies. We encourage authors to consult the journals' author guidelines and learn more about the actions of each journal over the coming year. We recognize that some authors and peer reviewers will find our recommendations onerous and will question their value. These principles are not simply a matter of avoiding offending marginalized groups but are fundamental to improving the quality of pain science to offer greater precision, transparency and equity in order to develop treatments that improve the lives of all people experiencing pain. There is a tremendous opportunity to affect change at this time of heightened knowledge of how to eliminate disparities in pain science, which our research predecessors in the context of their surrounding culture did not have an opportunity to do. In conclusion, we are committed to the promotion of inclusion, diversity and equity in pain science. We believe that harmonizing principles of inclusion, equity, diversity and antiracism across our journals will yield greater validity of research and thereby have a larger impact on pain science than will individual efforts in isolation. These steps are admittedly long overdue, and we hope that the entire pain scientific community will support these principles in their roles as investigators, authors, reviewers and editors. The authors have no conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.094
metaresearch head score (Gemma)0.036
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.270
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0940.036
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.005
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.080
GPT teacher head0.365
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2023
Admission routes2
Has abstractyes

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