Abstract
Purpose
Social determinants of health (SDoH) impact psychiatric conditions. Routinely collected health data are frequently used to evaluate important psychiatric clinical and health services outcomes. This study explored how key SDoH are used in psychiatric research employing routinely collected health data.
Methods
A search was conducted in PubMed for English-language articles published in 2019 that used routinely collected health data to study psychiatric conditions. Studies (n = 19,513) were randomly ordered for title/abstract review; the first 150 meeting criteria progressed to full-text review. Three key SDoH categories were assessed: (1) gender and sex, (2) race and ethnicity, and (3) socioeconomic status. Within each category, data were extracted on how variables were included, defined, and used in study design and analysis.
Results
All studies (n = 103) reported on at least one of the key SDoH variables; 102 (99.0%) studies included a gender and/or sex variable, 30 (29.1%) included a race and/or ethnicity variable, and 55 (53.4%) included a socioeconomic status variable. No studies explicitly differentiated between gender and sex, and SDoH were often defined only as binary variables. SDoH were used to define the target population in 14 (13.6%) studies. Within analysis, SDoH were most often included as confounders (n = 65, 63.1%), exposures or predictors (n = 23, 22.3%), and effect modifiers (n = 14, 13.6%). Only 21 studies (20.4%) disaggregated results by SDoH and 7 (6.8%) considered intersections between SDoH.
Conclusions
Results suggest improvements are needed in how key SDoH are used in routinely collected health data-based psychiatric research, to ensure relevance to diverse populations and improve equity-oriented research.
Similar content being viewed by others
Data availability
The data that support the findings of this study are available upon reasonable request.
References
Compton MT, Shim RS (2015) The social determinants of mental health. Focus 13:419–425. https://doi.org/10.1176/appi.focus.20150017
(2014) Preventing Preventing suicide suicide A global imperative
Luciano A, Meara E (2014) Employment status of people with mental illness: national survey data from 2009 and 2010. Psychiatr Serv 65:1201–1209. https://doi.org/10.1176/appi.ps.201300335
Solar O, Irwin A (2010) A conceptual framework for action on the social determinants of health. Social determinants of health discussion paper 2 (policy and practice). Geneva, Switzerland
Cook BL, Thomas M, Miranda PhD J (2007) Measuring trends in mental health care disparities, 2000–2004. Psychiatr Serv 58:1533–1540. https://doi.org/10.1176/PS.2007.58.12.1533
Heidari S, Babor TF, De Castro P et al (2016) Sex and gender equity in research: rationale for the SAGER guidelines and recommended use. Res Integr Peer Rev 1:1–9. https://doi.org/10.1186/s41073-016-0007-6
Sharpe RV (2019) Disaggregating data by race allows for more accurate research. Nat Hum Behav 3:1240. https://doi.org/10.1038/S41562-019-0696-1
Vargas SM, Huey SJ, Miranda J (2020) A critical review of current evidence on multiple types of discrimination and mental health. Am J Orthopsychiatry 90:374–390. https://doi.org/10.1037/ort0000441
Crenshaw K (1989) Demarginalizing the intersection of race and sex: a black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics. Univ Chic Legal Forum 1989(1):139–167
Bauer GR (2014) Incorporating intersectionality theory into population health research methodology: challenges and the potential to advance health equity. Soc Sci Med 110:10–17. https://doi.org/10.1016/J.SOCSCIMED.2014.03.022
Bowleg L (2012) The problem with the phrase women and minorities: Intersectionality-an important theoretical framework for public health. Am J Public Health 102:1267–1273. https://doi.org/10.2105/AJPH.2012.300750
Benchimol EI, Smeeth L, Guttmann A et al (2015) The reporting of studies conducted using observational routinely-collected health data (RECORD) statement. PLoS Med 12:e1001885. https://doi.org/10.1371/journal.pmed.1001885
Munk-Jørgensen P, Okkels N, Golberg D et al (2014) Fifty years’ development and future perspectives of psychiatric register research. Acta Psychiatr Scand 130:87–98. https://doi.org/10.1111/ACPS.12281
Varin M, Orpana HM, Palladino E et al (2021) Trends in suicide mortality in canada by sex and age group, 1981–2017: a population-based time series analysis: Tendances de la mortalité par suicide au Canada selon le sexe et le groupe d’âge, 1981–2017: Une analyse de séries chronologiques dans la population. Can J Psychiatry Revue Canadienne de Psychiatrie 66:170. https://doi.org/10.1177/0706743720940565
Wang PS, Schneeweiss S, Avorn J et al (2009) Risk of Death in Elderly Users of Conventional vs. Atypical Antipsychotic Medications. 353:2335–2341. https://doi.org/10.1056/NEJMOA052827
APA (2013) Diagnostic and statistical manual of mental disorders, 5th edition DSM-5. American Psychiatric Association, American Psychiatric Publishing, Arlington, VA
Hemkens LG, Benchimol EI, Langan SM et al (2016) The reporting of studies using routinely collected health data was often insufficient. J Clin Epidemiol 79:104–111. https://doi.org/10.1016/j.jclinepi.2016.06.005
Wilczynski NL, Haynes RB, Hedges T (2006) Optimal search strategies for identifying mental health content in MEDLINE: an analytic survey. Ann Gen Psychiatry 5:1–7. https://doi.org/10.1186/1744-859X-5-4
Jones CP (2001) Invited commentary: “Race”, racism, and the practice of epidemiology. Am J Epidemiol 154:299–304. https://doi.org/10.1093/aje/154.4.299
Richie C (2019) Sex, not gender. A plea for accuracy. Exp Mol Med 51:12276. https://doi.org/10.1038/s12276-019-0341-0
Canadian Institutes for Health Research What is gender? What is sex? - CIHR. https://cihr-irsc.gc.ca/e/48642.html. Accessed 25 Jan 2022
Canadian Institute for Health Information (2020) Proposed standards for race-based and indigenous identity data collection and health reporting in Canada. Ottawa, Canada
Agency for Healthcare Research and Quality (2018) Race, ethnicity, and language data: standardization for health care quality improvement. https://www.ahrq.gov/research/findings/final-reports/iomracereport/reldatasum.html. Accessed 29 Sep 2021
Orkin AM, Nicoll G, Persaud N, Pinto AD (2021) Reporting of sociodemographic variables in randomized clinical trials, 2014–2020. JAMA Netw Open 4:e2110700–e2110700. https://doi.org/10.1001/jamanetworkopen.2021.10700
Furler J, Magin P, Pirotta M, Van Driel M (2012) Participant demographics reported in “table 1” of randomised controlled trials: a case of “inverse evidence”? Int J Equity Health 11:2–5. https://doi.org/10.1186/1475-9276-11-1422429574
Canadian Institute for Health Information (2020) Proposed standards for race-based and indigenous identity data. https://www.cihi.ca/en/proposed-standards-for-race-based-and-indigenous-identity-data. Accessed 25 Jun 2021
Abramovich A, Cleverley K (2018) A call to action: the urgent need for Trans inclusive measures in mental health research. Can J Psychiat 63:532–537. https://doi.org/10.1177/0706743718777393
Bokor-Billmann T, Langan EA, Billmann F (2020) The reporting of race and/or ethnicity in the medical literature: a retrospective bibliometric analysis confirmed room for improvement. J Clin Epidemiol 119:1–6. https://doi.org/10.1016/j.jclinepi.2019.11.005
Lett E, Asabor E, Beltrán S et al (2022) Conceptualizing, contextualizing, and operationalizing race in quantitative health sciences research. Ann Fam Med 20:1–7. https://doi.org/10.1370/afm.2792
Acknowledgements
Thank you to Elena Springall, librarian at the University of Toronto, for her assistance with the study search and selection strategy.
Funding
LCB is supported by a Frederick Banting and Charles Best Canada Graduate Scholarships Doctoral Award from the Canadian Institutes of Health Research (CIHR). The funding bodies had no input into the conduct of the research or the production of this manuscript.
Author information
Authors and Affiliations
Contributions
LCB, SEB, HKB, PK, and SNV designed the study. LCB, NH-S, and KLR screened studies and extracted data. All authors contributed to interpretation of the data. LCB wrote the draft manuscript with input from all co-authors. LCB is the guarantor of this manuscript and accepts full responsibility for the work and the conduct of the study, had access to the data, and controlled the decision to publish. The corresponding author attests that all listed authors meet authorship criteria and that no others meeting the criteria have been omitted.
Corresponding author
Ethics declarations
Conflict of interest
LCB, NH-S, KLR, SEB, HKB, and PK have no conflicts of interest. SNV receives royalties from UpToDate for authorship of materials on antidepressants and pregnancy.
Ethical approval and consent
The manuscript does not contain clinical studies or patient data.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Barker, L.C., Hussain-Shamsy, N., Rajendra, K.L. et al. The use of key social determinants of health variables in psychiatric research using routinely collected health data: a systematic analysis. Soc Psychiatry Psychiatr Epidemiol 58, 183–191 (2023). https://doi.org/10.1007/s00127-022-02368-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00127-022-02368-x