Validation of the SPARK Tool to collect demographic and social needs data in healthcare

<h3>Context:</h3> Despite evidence that social determinants (e.g. income, housing) affect health, there is no standardized tool or approach in Canada for the routine collection of demographic and social information in healthcare settings. <h3>Objective:</h3> To validate the SPARK Tool using concurrent validity by assessing agreement between the SPARK Tool and well-established national survey questions (e.g. census) that are currently used for policy decisions and to identify health inequities. <h3>Study Design and Analysis:</h3> We distributed an online survey across Canada that included the SPARK Tool and a post-survey questionnaire. We used contingency tables to assess agreement. <h3>Setting or Dataset:</h3> The survey was distributed to Canadians in all provinces and territories. <h3>Population Studies:</h3> The survey was distributed from June 2023 to October 2023 using Qualtrics, a company that maintains a large panel of individuals to engage in survey research, and through social media. We ensured representativeness of the sample to the Canadian population. <h3>Intervention/Instrument:</h3> The SPARK Tool contains 18 questions including demographic questions and social needs questions, and the post-survey questionnaire contains 11 questions. <h3>Outcome Measures:</h3> We assessed associations between the SPARK Tool and post-survey questionnaire using sensitivity, specificity, Positive Predictive Value and Negative Predictive Value. We assessed correct classification represented by combined True Positives and True Negatives. <h3>Results:</h3> There were 2,222 participants that completed the SPARK Tool and post-survey questionnaire. Participants represented all provinces and territories, with the majority in Ontario (40.5%). The SPARK Tool correctly classified 74.3% of participants with or without a need. In total, 1,610 participants (72.3%) had ≥1 access or social need identified, with the majority (64.9%, n=1443) indicating at least one social need. Agreement varied within the domains of the SPARK Tool. <h3>Conclusions:</h3> The SPARK Tool performed reasonably well with a large diverse sample, demonstrating comparable classification with well-established national survey questions. The SPARK Tool presents a validated tool which can serve as a standard for the systematic and routine collection of demographic and social needs data in health care.

Authors

Publication Details

Journal
The Annals of Family Medicine
Published
2024-11-20
DOI
https://doi.org/10.1370/afm.22.s1.6465
Primary Topic
Global Health Care Issues
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validation of the SPARK Tool to collect demographic and social needs data in healthcare

Kris Aubrey‐Bassler, Joseph O’Rourke, Andrew D. Pinto, Alexander Zsager et al.
The Annals of Family Medicine
Global Health Care Issues
article

Validation of the SPARK Tool to collect demographic and social needs data in healthcare

Kris Aubrey‐Bassler, Joseph O’Rourke, Andrew D. Pinto, Alexander Zsager, Bates Gill, Eunice Abaga, Emily Gard Marshall, Leanne Kosowan
article en

Abstract

<h3>Context:</h3> Despite evidence that social determinants (e.g. income, housing) affect health, there is no standardized tool or approach in Canada for the routine collection of demographic and social information in healthcare settings. <h3>Objective:</h3> To validate the SPARK Tool using concurrent validity by assessing agreement between the SPARK Tool and well-established national survey questions (e.g. census) that are currently used for policy decisions and to identify health inequities. <h3>Study Design and Analysis:</h3> We distributed an online survey across Canada that included the SPARK Tool and a post-survey questionnaire. We used contingency tables to assess agreement. <h3>Setting or Dataset:</h3> The survey was distributed to Canadians in all provinces and territories. <h3>Population Studies:</h3> The survey was distributed from June 2023 to October 2023 using Qualtrics, a company that maintains a large panel of individuals to engage in survey research, and through social media. We ensured representativeness of the sample to the Canadian population. <h3>Intervention/Instrument:</h3> The SPARK Tool contains 18 questions including demographic questions and social needs questions, and the post-survey questionnaire contains 11 questions. <h3>Outcome Measures:</h3> We assessed associations between the SPARK Tool and post-survey questionnaire using sensitivity, specificity, Positive Predictive Value and Negative Predictive Value. We assessed correct classification represented by combined True Positives and True Negatives. <h3>Results:</h3> There were 2,222 participants that completed the SPARK Tool and post-survey questionnaire. Participants represented all provinces and territories, with the majority in Ontario (40.5%). The SPARK Tool correctly classified 74.3% of participants with or without a need. In total, 1,610 participants (72.3%) had ≥1 access or social need identified, with the majority (64.9%, n=1443) indicating at least one social need. Agreement varied within the domains of the SPARK Tool. <h3>Conclusions:</h3> The SPARK Tool performed reasonably well with a large diverse sample, demonstrating comparable classification with well-established national survey questions. The SPARK Tool presents a validated tool which can serve as a standard for the systematic and routine collection of demographic and social needs data in health care.

The Annals of Family MedicineVol. 22(Supplement 1)
Reduced inequalities
Openalex Percentile: Top 62%
Global Health Care Issues
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.