RATIONALE, AIM AND OBJECTIVES: Previous studies investigating agreement between data sources for co-morbidity and adjuvant therapy information have suggested agreement varies depending on how the information is collected. The aim of this study was to compare agreement among three data sources: patient report, clinician report and medical record. METHOD: Data were collected as part of a nurse-delivered telephone intervention (the CONNECT programme). Patient report was collected using a self-administered questionnaire. Clinician report was collected from the patient's treating surgeon. Medical record information was extracted by a member of the research team. The proportion of specific agreement [positive (PA) and negative agreement (NA)] and Kappa statistics were calculated. RESULTS: The study sample comprised 756 surgical patients with colorectal cancer. For the majority of co-morbidities the lowest level of agreement was found between the patient and clinician (PA 0.29-0.64, Kappa values ranged from 0.22 to 0.58). The highest agreement and Kappa values for co-morbidities were generally found between the patient report and medical record (PA 0.36-0.80 and NA 0.92-0.99; Kappa 0.34-0.77). There was good agreement between patient and clinician reports for receipt adjuvant therapy {Kappa 0.78 [confidence interval (CI) 0.72-0.84] and 0.84 [CI 0.80-0.88], respectively; PA 0.87 and 0.92, respectively}. No consistent pattern in the predictors of non-agreement was found. CONCLUSION: Given there was higher agreement between patient report and medical record review, the use of patient self-report questionnaires to ascertain co-morbid conditions remains a valid method for health services research.
RCT Entities:
RATIONALE, AIM AND OBJECTIVES: Previous studies investigating agreement between data sources for co-morbidity and adjuvant therapy information have suggested agreement varies depending on how the information is collected. The aim of this study was to compare agreement among three data sources: patient report, clinician report and medical record. METHOD: Data were collected as part of a nurse-delivered telephone intervention (the CONNECT programme). Patient report was collected using a self-administered questionnaire. Clinician report was collected from the patient's treating surgeon. Medical record information was extracted by a member of the research team. The proportion of specific agreement [positive (PA) and negative agreement (NA)] and Kappa statistics were calculated. RESULTS: The study sample comprised 756 surgical patients with colorectal cancer. For the majority of co-morbidities the lowest level of agreement was found between the patient and clinician (PA 0.29-0.64, Kappa values ranged from 0.22 to 0.58). The highest agreement and Kappa values for co-morbidities were generally found between the patient report and medical record (PA 0.36-0.80 and NA 0.92-0.99; Kappa 0.34-0.77). There was good agreement between patient and clinician reports for receipt adjuvant therapy {Kappa 0.78 [confidence interval (CI) 0.72-0.84] and 0.84 [CI 0.80-0.88], respectively; PA 0.87 and 0.92, respectively}. No consistent pattern in the predictors of non-agreement was found. CONCLUSION: Given there was higher agreement between patient report and medical record review, the use of patient self-report questionnaires to ascertain co-morbid conditions remains a valid method for health services research.
Authors: Frank W Rockhold; Jessica D Tenenbaum; Rachel Richesson; Keith A Marsolo; Emily C O'Brien Journal: J Am Med Inform Assoc Date: 2020-04-01 Impact factor: 4.497
Authors: Shilpa Tyagi; Gerald Choon-Huat Koh; Nan Luo; Kelvin Bryan Tan; Helen Hoenig; David B Matchar; Joanne Yoong; Eric A Finkelstein; Kim En Lee; N Venketasubramanian; Edward Menon; Kin Ming Chan; Deidre Anne De Silva; Philip Yap; Boon Yeow Tan; Effie Chew; Sherry H Young; Yee Sien Ng; Tian Ming Tu; Yan Hoon Ang; Keng He Kong; Rajinder Singh; Reshma A Merchant; Hui Meng Chang; Tseng Tsai Yeo; Chou Ning; Angela Cheong; Yu Li Ng; Chuen Seng Tan Journal: BMC Health Serv Res Date: 2018-10-25 Impact factor: 2.655