ArticleApplied clinical informatics2019
Effect of Sociodemographic Factors on Uptake of a Patient-Facing Information Technology Family Health History Risk Assessment Platform.
Article in Applied clinical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 19 citations in OpenAlex.
- Utility of a virtual counselor (VICKY) to collect family health histories among vulnerable patient populations: A randomized controlled trial.Patient education and counseling · 2021Trial
- Consumer Involvement in the Co-Design of Diabetes Self-Management Smartphone Apps: A Scoping Review.Applied clinical informatics · 2025Article
- Implementation-effectiveness trial of systematic family health history based risk assessment and impact on clinical disease prevention and surveillance activities.BMC health services research · 2022Article
- Barriers to family history collection among Spanish-speaking primary care patients: a BRIDGE qualitative study.PEC innovation · 2022Article
- At the intersection of precision medicine and population health: an implementation-effectiveness study of family health history based systematic risk assessment in primary care.BMC health services research · 2020Article
- Navigating by Stars: Using CMS Star Ratings to Choose Hospitals for Complex Cancer Surgery.JNCI cancer spectrum · 2020Article
- Accuracy of the Preferred Language Field in the Electronic Health Records of Two Canadian Hospitals.Applied clinical informatics · 2020Article
- Evaluation of family health history collection methods impact on data and risk assessment outcomes.Preventive medicine reports · 2020Article
Corrections and comments
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Authors and funding
15 authors at 8 institutions in 1 country.
Funding
Abstract
objectiveInvestigate sociodemographic differences in the use of a patient-facing family health history (FHH)-based risk assessment platform.
methodsIn this large multisite trial with a diverse patient population, we evaluated the relationship between sociodemographic factors and FHH health risk assessment uptake using an information technology (IT) platform. The entire study was administered online, including consent, baseline survey, and risk assessment completion. We used multivariate logistic regression to model effect of sociodemographic factors on study progression. Quality of FHH data entered as defined as relatives: (1) with age of onset reported on relevant conditions; (2) if deceased, with cause of death and (3) age of death reported; and (4) percentage of relatives with medical history marked as unknown was analyzed using grouped logistic fixed effect regression.
resultsA total of 2,514 participants consented with a mean age of 57 and 10.4% minority. Multivariate modeling showed that progression through study stages was more likely for younger (
conclusionA demographically diverse population was able to complete an IT-based risk assessment but there were differences in attrition by sociodemographic factors. More attention should be given to ensure end-user functionality of health IT and leverage electronic medical records to lessen patient burden.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.