ArticleHealth services research2012
Accuracy of data entry of patient race/ethnicity/ancestry and preferred spoken language in an ambulatory care setting.
Article in Health services research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association between language discordance and unplanned hospital readmissions or emergency department revisits: a systematic review and meta-analysis.BMJ quality & safety · 2024Pooled it
- Accuracy of preferred language data in a multi-hospital electronic health record in Toronto, Canada.PLOS digital health · 2025Article
- Exploring the impact of missingness on racial disparities in predictive performance of a machine learning model for emergency department triage.JAMIA open · 2023Article
- Evaluating equity in performance of an electronic health record-based 6-month mortality risk model to trigger palliative care consultation: a retrospective model validation analysis.BMJ quality & safety · 2023Article
- A Scoping Review of Approaches to Improving Quality of Data Relating to Health Inequalities.International journal of environmental research and public health · 2022Article
- Rethinking the Term "Limited English Proficiency" to Improve Language-Appropriate Healthcare for All.Journal of immigrant and minority health · 2022Article
- Medical Spanish in US Medical Schools: a National Survey to Examine Existing Programs.Journal of general internal medicine · 2021Article
- Accuracy of the Preferred Language Field in the Electronic Health Records of Two Canadian Hospitals.Applied clinical informatics · 2020Article
- The association between Asian patient race/ethnicity and lower satisfaction scores.BMC health services research · 2020Article
- Comparison of Outpatient Satisfaction Survey Scores for Asian Physicians and Non-Hispanic White Physicians.JAMA network open · 2019Observational
- Article
- Discrepancies in Race and Ethnicity Documentation: a Potential Barrier in Identifying Racial and Ethnic Disparities.Journal of racial and ethnic health disparities · 2016Article
- Racial/Ethnic Differences in Gestational Diabetes Prevalence and Contribution of Common Risk Factors.Paediatric and perinatal epidemiology · 2015Article
- Third and fourth degree perineal injury after vaginal delivery: does race make a difference?Hawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health · 2014Article
- Problems with the collection and interpretation of Asian-American health data: omission, aggregation, and extrapolation.Annals of epidemiology · 2012Article
- Language and Health Equity during COVID-19: Lessons and Opportunities.Journal of health care for the poor and underservedArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectiveTo describe data collection methods and to audit staff data entry of patient self-reported race/ethnicity/ancestry and preferred spoken language (R/E/A/L) information. DATA SOURCE/STUDY
settingLarge mixed payer outpatient health care organization in Northern California, June 2009. STUDY
designSecondary analysis of an audit planned and executed by the Department of Clinical Services. DATA COLLECTION/EXTRACTION
methodsWe analyzed concordance between patient written responses and staff data entry. PRINCIPAL
findingsThe data entry accuracy rate across questions was high, ranging from 92 to 97 percent. Inaccuracies were due to human error (62 percent), flaws in system design (2 percent), or some combination of both (35 percent).
conclusionsThis study highlights the high accuracy of patient self-reported R/E/A/L data entry and identifies some areas for improvement in staff training and technical system design to facilitate further progress.
Indexed as
Identifiers
What OpenQuestion holds
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.