BMC Medical Research Methodology | |
Concordance between medical records and interview data in correctional facilities | |
Elaine L Larson1  Franklin D Lowy2  Zoltan Apa3  Montina Befus1  Dhritiman V Mukherjee2  Jennifer R Bai3  | |
[1] Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA;Department of Medicine, Division of Infectious Diseases, College of Physicians and Surgeons, Columbia University, New York, NY, USA;School of Nursing, Columbia University, New York, NY, USA | |
关键词: Kappa statistics; Agreement; Reliability; Concordance; Self-reports; Questionnaires; Interviews; Medical records; | |
Others : 866362 DOI : 10.1186/1471-2288-14-50 |
|
received in 2013-08-27, accepted in 2014-03-17, 发布年份 2014 | |
【 摘 要 】
Background
Self- 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.
Methods
Medical 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.
Results
In 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.
Conclusion
Levels 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.
【 授权许可】
2014 Bai et al.; licensee BioMed Central Ltd.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
20140727071535234.pdf | 182KB | download |
【 参考文献 】
- [1]Goulet F, Jacques A, Gagnon R, Racette P, Sieber W: Assessment of family physicians’ performance using patient charts: interrater reliability and concordance with chart-stimulated recall interview. Eval Health Prof 2007, 30(4):376-392.
- [2]Corser W, Sikorskii A, Olomu A, Stommel M, Proden C, Holmes-Rovner M: Concordance between comorbidity data from patient self-report interviews and medical record documentation. BMC Health Serv Res 2008, 8:85. BioMed Central Full Text
- [3]Okura Y, Urban LH, Mahoney DW, Jacobsen SJ, Rodeheffer RJ: Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure. J Clin Epidemiol 2004, 57(10):1096-1103.
- [4]St Sauver JL, Hagen PT, Cha SS, Bagniewski SM, Mandrekar JN, Curoe AM, Rodeheffer RJ, Roger VL, Jacobsen SJ: Agreement between patient reports of cardiovascular disease and patient medical records. Mayo Clin Proc 2005, 80(2):203-210.
- [5]Tisnado DM, Adams JL, Liu H, Damberg CL, Chen WP, Hu FA, Carlisle DM, Mangione CM, Kahn KL: What is the concordance between the medical record and patient self-report as data sources for ambulatory care? Med Care 2006, 44(2):132-140.
- [6]Barbara AM, Loeb M, Dolovich L, Brazil K, Russell ML: Patient self-report and medical records: measuring agreement for binary data. Can Fam Physician 2011, 57(6):737-738.
- [7]Skinner KM, Miller DR, Lincoln E, Lee A, Kazis LE: Concordance between respondent self-reports and medical records for chronic conditions: experience from the Veterans Health Study. J Ambulatory Care Manage 2005, 28(2):102-110.
- [8]Fathelrahman AI: Agreement between questionnaire and medical records on some health and socioeconomic problems among poisoning cases. BMC Res Notes 2009, 2:183. BioMed Central Full Text
- [9]Alves E, Lunet N, Correia S, Morais V, Azevedo A, Barros H: Medical record review to recover missing data in a Portuguese birth cohort: agreement with self-reported data collected by questionnaire and inter-rater variability. Gac Sanit 2011, 25(3):211-219.
- [10]Liddy C, Wiens M, Hogg W: Methods to achieve high interrater reliability in data collection from primary care medical records. Ann Fam Med 2011, 9(1):57-62.
- [11]Barbara AM, Loeb M, Dolovich L, Brazil K, Russell M: Agreement between self-report and medical records on signs and symptoms of respiratory illness. Prim Care Respir J 2012, 21(2):145-152.
- [12]Eze-Nliam C, Cain K, Bond K, Forlenza K, Jankowski R, Magyar-Russell G, Yenokyan G, Ziegelstein RC: Discrepancies between the medical record and the reports of patients with acute coronary syndrome regarding important aspects of the medical history. BMC Health Serv Res 2012, 12:78. BioMed Central Full Text
- [13]Leikauf J, Federman AD: Comparisons of self-reported and chart-identified chronic diseases in inner-city seniors. J Am Geriatr Soc 2009, 57(7):1219-1225.
- [14]Lee CJ, Sankaran S, Mukherjee DV, Apa ZL, Hafer CA, Wright L, Larson EL, Lowy FD: Staphylococcus aureus oropharyngeal carriage in a prison population. Clin Infect Dis 2011, 52(6):775-778.
- [15]Apa ZL, Bai R, Mukherejee DV, Herzig CT, Koenigsmann C, Lowy FD, Larson EL: Challenges and strategies for research in prisons. Public Health Nurs 2012, 29(5):467-472.
- [16]Landis JR, Koch GG: The measurement of observer agreement for categorical data. Biometrics 1977, 33(1):159-174.
- [17]Schofield P, Butler T, Hollis S, D’Este C: Are prisoners reliable survey respondents? A validation of self-reported traumatic brain injury (TBI) against hospital medical records. Brain Inj 2011, 25(1):74-82.
- [18]Iversen L, Hannaford PC, Godden DJ, Price D: Do people self-reporting information about chronic respiratory disease have corroborative evidence in their general practice medical records? A study of intermethod reliability. Prim 2007, 16(3):162-168.
- [19]Malik AS, Giamouzis G, Georgiopoulou VV, Fike LV, Kalogeropoulos AP, Norton CR, Sorescu D, Azim S, Laskar SR, Smith AL, Dunbar SB, Butler J: Patient perception versus medical record entry of health-related conditions among patients with heart failure. Am J Cardiol 2011, 107(4):569-572.
- [20]Merkin SS, Cavanaugh K, Longenecker JC, Fink NE, Levey AS, Powe NR: Agreement of self-reported comorbid conditions with medical and physician reports varied by disease among end-stage renal disease patients. J Clin Epidemiol 2007, 60(6):634-642.
- [21]Garber MC, Nau DP, Erickson SR, Aikens JE, Lawrence JB: The concordance of self-report with other measures of medication adherence: a summary of the literature. Med Care 2004, 42(7):649-652.
- [22]LaVene MC, White MC, Waters CM, Tulsky JP: Screening for health conditions in a County Jail: differences by gender. J Correct Health Care 2003, 9(4):381-396.
- [23]To T, Estrabillo E, Wang C, Cicutto L: Examining intra-rater and inter-rater response agreement: a medical chart abstraction study of a community-based asthma care program. BMC Med Res Methodol 2008, 8:29. BioMed Central Full Text
- [24]Mi MY, Collins JE, Lerner V, Losina E, Katz JN: Reliability of medical record abstraction by non-physicians for orthopedic research. BMC Musculoskelet Disord 2013, 14:181. BioMed Central Full Text