Understanding patient preferences on providing sociodemographic information in an acute care setting: a qualitative study

Access to patient sociodemographic information is a critical factor to understanding, at a systems-level, where health inequities exist so they can be addressed. Patient concerns around disclosing personal information remain a barrier to sociodemographic data collection. Our objective was to assess patient perceptions regarding the routine collection of sociodemographic information in an acute care hospital setting. We conducted a qualitative study using the Framework Method to understand patient perceptions regarding sociodemographic data collection. We administered semi-structured interviews with patients admitted to the General Internal Medicine and Geriatric Medicine units at a university-affiliated hospital in Toronto, Canada. Two reviewers independently coded 10% of interview transcripts until a kappa ≥ 0.7 was achieved. The remaining interviews were single-coded. Data were analyzed using thematic analysis. A total of 52 qualitative interviews were conducted between December 2021 and September 2023. Of the 52 individuals interviewed, 21 also agreed to complete a sociodemographic survey (40%). Among these participants, 57% (n = 12) were women and 62% (n = 13) were White. Patients felt more comfortable disclosing sociodemographic data if they believed it would lead to better or more equitable care; data were collected after they were admitted to hospital; data were collected verbally; and concerns about data privacy, anonymization, use, and secure storage were addressed. Some patients expressed discomfort being asked questions about income or race. Most patients had no preference regarding who from the healthcare team collected the sociodemographic data. Participants reported the importance of a friendly and respectful approach of the person collecting the data. Participants reported feeling comfortable disclosing their sociodemographic information in hospital; however, only 40% were willing to complete a demographic questionnaire. Participants’ comfort levels were impacted by the approach of the individual asking the questions, the types of questions asked, when the data were collected, and whether assurances around privacy and transparency regarding the use of data were provided. The results of this study should be used to develop strategies to support the implementation of routine sociodemographic data collection in acute care settings.

Authors

Institutions

Publication Details

Journal
BMC Health Services Research
Published
2025-11-22
DOI
https://doi.org/10.1186/s12913-025-13708-3
Primary Topic
Patient Dignity and Privacy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding patient preferences on providing sociodemographic information in an acute care setting: a qualitative study

Sharon Elizabeth Straus, Michael Colacci, Bronwyn Barker, Reena Pattani et al.
BMC Health Services Research
Patient Dignity and Privacy
article

Understanding patient preferences on providing sociodemographic information in an acute care setting: a qualitative study

Sharon Elizabeth Straus, Michael Colacci, Bronwyn Barker, Reena Pattani, Christine Fahim, Negin Pak, Danielle Kasperavicius, Joan Conrad, Joshua Pratt, Seema Marwaha, Yasmin Garad, Elizabeth Kipp
article en

Abstract

Access to patient sociodemographic information is a critical factor to understanding, at a systems-level, where health inequities exist so they can be addressed. Patient concerns around disclosing personal information remain a barrier to sociodemographic data collection. Our objective was to assess patient perceptions regarding the routine collection of sociodemographic information in an acute care hospital setting. We conducted a qualitative study using the Framework Method to understand patient perceptions regarding sociodemographic data collection. We administered semi-structured interviews with patients admitted to the General Internal Medicine and Geriatric Medicine units at a university-affiliated hospital in Toronto, Canada. Two reviewers independently coded 10% of interview transcripts until a kappa ≥ 0.7 was achieved. The remaining interviews were single-coded. Data were analyzed using thematic analysis. A total of 52 qualitative interviews were conducted between December 2021 and September 2023. Of the 52 individuals interviewed, 21 also agreed to complete a sociodemographic survey (40%). Among these participants, 57% (n = 12) were women and 62% (n = 13) were White. Patients felt more comfortable disclosing sociodemographic data if they believed it would lead to better or more equitable care; data were collected after they were admitted to hospital; data were collected verbally; and concerns about data privacy, anonymization, use, and secure storage were addressed. Some patients expressed discomfort being asked questions about income or race. Most patients had no preference regarding who from the healthcare team collected the sociodemographic data. Participants reported the importance of a friendly and respectful approach of the person collecting the data. Participants reported feeling comfortable disclosing their sociodemographic information in hospital; however, only 40% were willing to complete a demographic questionnaire. Participants’ comfort levels were impacted by the approach of the individual asking the questions, the types of questions asked, when the data were collected, and whether assurances around privacy and transparency regarding the use of data were provided. The results of this study should be used to develop strategies to support the implementation of routine sociodemographic data collection in acute care settings.

BMC Health Services ResearchVol. 25(1)
University of Toronto (CA), Cancer Care Ontario (CA), CARE Canada (CA)
Openalex Percentile: Top 54%
Patient Dignity and Privacy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.