ArticleBMC medical research methodology2014
Concordance between medical records and interview data in correctional facilities.
Article in BMC medical research methodology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Under-Reporting of Known HIV-Positive Status Among People Living with HIV: A Systematic Review and Meta-analysis.AIDS and behavior · 2021Pooled it
- Enhanced access to healthcare utilization data through medical record review: Lessons learned from a community-based, multi-site project.Research in nursing & health · 2021Trial
- Prevalence of mental illness, substance use disorder, and dual diagnosis among adults in custody.Population health metrics · 2025Article
- Personal care product use and risk of adult-onset asthma: Prospective cohort analyses of U.S. Women from the Sister Study.Environment international · 2025Article
- Association Between Traumatic Brain Injury and Psychopathic Traits Among Justice-Involved Adolescents.Research on child and adolescent psychopathology · 2024Article
- The role and limitations of electronic medical records versus patient interviews for determining symptoms of, underlying comorbidities of, and medication use by patients with COVID-19.American journal of epidemiology · 2024Article
- Ascertaining asthma status in epidemiologic studies: a comparison between administrative health data and self-report.BMC medical research methodology · 2023Article
- Reliability of prisoners' survey responses: comparison of self-reported health and biomedical data from an australian prisoner cohort.BMC public health · 2022Article
- Retrospective interview-based long-term follow-up study of cats diagnosed with idiopathic cystitis in 2003-2009.Journal of feline medicine and surgery · 2021Article
- The Swiss Prison Study (SWIPS): Protocol for Establishing a Public Health Registry of Prisoners in Switzerland.JMIR research protocols · 2020Article
- Prison primary care and non-communicable diseases: a data-linkage survey of prevalence and associated risk factors.BJGP open · 2019Article
- Knowledge of potential risk of blood-borne viral infections and tattooing practice among adults in Mandalay Region, Myanmar.PloS one · 2019Article
- Gaging the impact of multiple substance use on community corrections involvement.Addictive behaviors · 2018Article
- Substance use among HIV-infected patients in Rio de Janeiro, Brazil: Agreement between medical records and the ASSIST questionnaire.Drug and alcohol dependence · 2017Article
- Racial and ethnic disparities in meeting MTM eligibility criteria among patients with asthma.The Journal of asthma : official journal of the Association for the Care of Asthma · 2017Article
- Training in client-centeredness enhances occupational therapist documentation on goal setting and client participation in goal setting in the medical records of people with stroke.Clinical rehabilitation · 2016Article
- Predictors of sexual behaviour among men and women in New York City area prisons.Culture, health & sexuality · 2016Article
- The impact of non-concordant self-report of substance use in clinical trials research.Addictive behaviors · 2016Article
- Clinical risk factors for death after release from prison in Washington State: a nested case-control study.Addiction (Abingdon, England) · 2016Article
- Predictors of Illicit Drug Use Among Prisoners.Substance use & misuse · 2016Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundSelf- administered questionnaires or interviews and medical records are often used as sources of research data; thus it is essential to evaluate their concordance and reliability. The aim of this paper was to assess the concordance between medical and behavioral data obtained from medical records and interview questionnaires in two correctional facilities.
methodsMedical record and interview data were compared for 679 inmates from one male and one female maximum security prison between April 2010 and February 2013. Gender non-stratified and gender-stratified analyses were conducted in SPSS to calculate the prevalence and kappa coefficient scores (κ) for medical (e.g., HIV, diabetes, hypertension) and behavioral (e.g., smoking, drug use, tattoos) conditions. Sensitivity/specificity between medical records and interview were calculated in the gender non-stratified data.
resultsIn the gender non-stratified analysis, κ score for HIV, hepatitis C, diabetes, asthma, and history of tattoos had strong or good concordance (0.66-0.89). Hypertension, renal/kidney disease, cigarette smoking, antibiotic use in the last 6 months, and cocaine use ever were moderately correlated (0.49-0.57). Both history of any illicit drug use ever (0.36) and marijuana use ever (0.23) had poor concordance. Females had higher κ scores and prevalence rates than males overall. Medical conditions were reported more frequently in medical records and behavioral conditions had higher prevalence in interviews. Sensitivity for medical conditions in the combined facility data ranged from 50.0% to 86.0% and 48.2% to 85.3% for behavioral conditions whereas specificity ranged from 95.9% to 99.5% for medical conditions and 75.9% to 92.8% for behavioral conditions.
conclusionLevels of agreement between medical records and self-reports varied by type of factor. Medical conditions were more frequently reported by chart review and behavioral factors more frequently by self-report. Data source used may need to be chosen carefully depending upon the type of information sought.
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