Agreement between hospital discharge diagnosis codes and medical records to identify metastatic colorectal cancer and associated comorbidities in elderly patients

被引:8
|
作者
Gouverneur, A. [1 ,2 ,3 ,4 ]
Dolatkhani, D. [1 ,2 ]
Rouyer, M. [4 ,5 ]
Grelaud, A. [4 ,5 ]
Francis, F. [1 ,2 ]
Gilleron, V. [1 ]
Fourrier-Reglat, A. [1 ,2 ,3 ,4 ]
Noize, P. [1 ,3 ,4 ]
机构
[1] CHU Bordeaux, F-33000 Bordeaux, France
[2] Univ Bordeaux, F-33076 Bordeaux, France
[3] INSERM, U1219, F-33076 Bordeaux, France
[4] INSERM, CIC1401, F-33076 Bordeaux, France
[5] ADERA, F-33608 Pessac, France
来源
REVUE D EPIDEMIOLOGIE ET DE SANTE PUBLIQUE | 2017年 / 65卷 / 04期
关键词
Agreement; International Classification of Diseases (ICD-10) codes; Medical records; Colorectal neoplasm; Neoplasm metastasis; Comorbidity; DATABASE; IDENTIFICATION; MORTALITY; DISEASE; FRANCE; COHORT;
D O I
10.1016/j.respe.2017.03.132
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background. - Quality of coding to identify cancers and comorbidities through the French hospital diagnosis database (Programme de medicalisation des systemes d'information, PMSI) has been little investigated. Agreement between medical records and PMSI database was evaluated regarding metastatic colorectal cancer (mCRC) and comorbidities. Methods. - From 01/01/2013 to 06/30/2014, 74 patients aged >= 65 years at mCRC diagnosis were identified in Bordeaux teaching hospital. Data on mCRC and comorbidities were collected from medical records. All diagnosis codes (main, related and associated) registered into the PMSI were extracted. Agreement between sources was evaluated using the percent agreement for mCRC and the kappa (k) statistic for comorbidities. Results. - Agreement for primary CRC and mCRC was higher using all types of diagnosis codes instead of the main one exclusively (respectively 95% vs. 53% for primary CRC and 91% vs. 24% for mCRC). Agreement was substantial (k 0.65) for cardiovascular diseases, notably atrial fibrillation (k 0.77) and hypertension (k 0.68). It was moderate for psychiatric disorders (k 0.49) and respiratory diseases (k 0.48), although chronic obstructive pulmonary disease had a good agreement (k 0.75). Within the class of endocrine, nutritional and metabolic diseases (k 0.55), agreement was substantial for diabetes (k 0.91), obesity (k 0.82) and hypothyroidism (k 0.72) and moderate for hypercholesterolemia (k 0.51) and malnutrition (k 0.42). Conclusion. - These results are reassuring with regard to detection through PMSI of mCRC if all types of diagnosis codes are considered and useful to better choose comorbidities in elderly mCRC patients that could be well identified through hospital diagnosis codes. (C) 2017 Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:321 / 325
页数:5
相关论文
共 36 条
  • [1] Agreement Between Hospital Diagnosis Codes and Medical Records to Identify Metastatic Colorectal Cancer and Comorbidities in Elderly Patients
    Gouverneur, Amandine
    Dolatkhani, Diana
    Rouyer, Magali
    Grelaud-Boussinot, Angela
    Francis, Florence
    Gilleron, Veronique
    Fourrier-Reglat, Annie
    Noize, Pernelle
    PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2016, 25 : 161 - 162
  • [2] Excess comorbidities associated with malignant hyperthermia diagnosis in pediatric hospital discharge records
    Li, Guohua
    Brady, Joanne E.
    Rosenberg, Henry
    Sun, Lena S.
    PEDIATRIC ANESTHESIA, 2011, 21 (09) : 958 - 963
  • [3] Association of multidimensional comorbidities with survival in elderly patients with metastatic colorectal cancer treated with chemotherapy
    Kim, Ki Hyang
    Lee, Jae Jin
    Kim, Jongphil
    Gomes, Fabio Renato Morgado
    Sehovic, Marina
    Extermann, Martine
    JOURNAL OF CLINICAL ONCOLOGY, 2017, 35
  • [4] Colorectal cancer diagnosis between a tertiary hospital and an associated nonteaching hospital
    Subramaniam, K.
    Yusoff, I. F.
    Ee, H. C.
    JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY, 2010, 25 : A28 - A28
  • [5] Value of hospital administrative data linked to national cancer registry records to identify metastatic disease at time of primary diagnosis in colorectal cancer patients: a study using national data in England
    Almilaji, Orouba
    Sharples, Linda
    Aggarwal, Ajay
    Cromwell, David
    Horgan, Kieran
    Braun, Michael
    Arnott, Robert
    Nossiter, Julie
    Kuryba, Angela
    Lewin, Alexandra
    Rous, Brian
    Cowling, Thomas
    Meulen, Jan Van Der
    Walker, Kate
    BMC CANCER, 2025, 25 (01)
  • [6] Comorbidities among patients with breast cancer during COVID-19: Agreement between patient-reported data and electronic medical records
    Maculaitis, Martine C.
    Liu, Xianchen
    Thompson, Jeffrey A.
    Berk, Alexandra
    Massa, Angelina
    Weiss, Marisa C.
    Li, Benjamin
    Kurosky, Samantha K.
    McRoy, Lynn
    JOURNAL OF CLINICAL ONCOLOGY, 2022, 40 (28) : 409 - 409
  • [7] AGREEMENT BETWEEN HOSPITAL DIAGNOSIS AND UNDERLYING CAUSE OF DEATH IN CANCER-PATIENTS
    REICHES, N
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 1982, 116 (03) : 574 - 574
  • [8] Overall Survival and Metastasis Resections in Patients with Metastatic Colorectal Cancer Using Electronic Medical Records
    Heervä E.
    Lavonius M.
    Jaakkola P.
    Minn H.
    Ristamäki R.
    Journal of Gastrointestinal Cancer, 2018, 49 (3) : 245 - 251
  • [9] Factors associated with delays to medical assessment and diagnosis for patients with colorectal cancer
    Tomlinson, Corey
    Wong, Clarence
    Au, Heather-Jane
    Schiller, Dan
    CANADIAN FAMILY PHYSICIAN, 2012, 58 (09) : E495 - E501
  • [10] How are elderly patients treated after a diagnosis of metastatic colorectal cancer in real-life practice? A study in a French teaching hospital
    Gouverneur, Amandine
    Rouyer, Magali
    Grelaud, Angela
    Robinson, Philip
    Colombani, Francoise
    Terrebonne, Eric
    Smith, Denis
    Fourrier-Reglat, Annie
    Noize, Pernelle
    FUNDAMENTAL & CLINICAL PHARMACOLOGY, 2017, 31 (01) : 104 - 109