Abstract
Original language | English |
---|---|
Pages (from-to) | 51-59 |
Number of pages | 9 |
Journal | Tumori |
Volume | 104 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2017 |
Keywords
- Administrative databases
- Healthcare monitoring
- Healthcare quality
- Rectal cancer
- Surgery quality indicators
- antineoplastic agent
- adjuvant radiotherapy
- Article
- cancer adjuvant therapy
- cancer patient
- cancer staging
- cancer surgery
- cancer therapy
- chemoradiotherapy
- hospital readmission
- human
- length of stay
- major clinical study
- minimally invasive surgery
- postoperative complication
- rectum cancer
- factual database
- health care delivery
- health care quality
- health survey
- Italy
- primary health care
- procedures
- prospective study
- rectum tumor
- reproducibility
- standards
- statistics and numerical data
- validation study
- Databases, Factual
- Delivery of Health Care
- Health Surveys
- Humans
- Primary Health Care
- Prospective Studies
- Quality Indicators, Health Care
- Rectal Neoplasms
- Reproducibility of Results
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Reliability and validity assessment of administrative databases in measuring the quality of rectal cancer management. / Corbellini, C.; Andreoni, B.; Ansaloni, L. et al.
In: Tumori, Vol. 104, No. 1, 2017, p. 51-59.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Reliability and validity assessment of administrative databases in measuring the quality of rectal cancer management
AU - Corbellini, C.
AU - Andreoni, B.
AU - Ansaloni, L.
AU - Sgroi, G.
AU - Martinotti, M.
AU - Scandroglio, I.
AU - Carzaniga, P.
AU - Longoni, M.
AU - Foschi, D.
AU - Dionigi, P.
AU - Morandi, E.
AU - Agnello, M.
AU - Tamayo, D.
AU - Botteri, E.
AU - Poiasina, E.
AU - Azzini, C.
AU - Turati, L.
AU - Frigerio, A.
AU - Roscio, F.
AU - D’Aponte, T.
AU - Costanzi, A.
AU - Picheo, R.
AU - Olivari, N.
AU - Trotta, F.
AU - Lunghi, C.
AU - Francese, M.
AU - Stella, M.
AU - Beati, C.
AU - Motterlini, E.
AU - Cirelli, A.
AU - Opocher, E.
AU - Ceretti, A.P.
AU - Dionigi, G.
AU - Guffanti, E.
AU - Berselli, M.
AU - Novellino, L.
AU - Mariani, P.
AU - Olmi, S.
AU - Cesana, G.
AU - Montorsi, M.
AU - Bona, S.
AU - Castelli, L.
AU - Coviello, D.
AU - Guicciardi, M.A.
AU - Favara, A.
AU - Crespi, M.
AU - Maione, G.
AU - Colombo, F.
AU - Fumagalli, U.
AU - Elmore, U.
AU - Boni, L.
AU - Costa, S.
AU - Interdonato, P.F.
AU - Mauri, S.
AU - Group, Lombardy Oncologic Network Work
N1 - Export Date: 5 February 2019 CODEN: TUMOA Correspondence Address: Corbellini, C.; Ospedale di Rho, ASST Rhodense, Corso Europa, 250, Italy; email: dr.corbellini@gmail.com References: Lohr, K.N., Medicare: A strategy for quality assurance (1991) J Qual Assur, 13 (1), pp. 10-13; Boland, G.M., Chang, G.J., Haynes, A.B., Association between adherence to National Comprehensive Cancer Network treatment guidelines and improved survival in patients with colon cancer (2013) Cancer, 119 (8), pp. 1593-1601; Chagpar, R., Xing, Y., Chiang, Y.J., Adherence to stage-specific treatment guidelines for patients with colon cancer (2012) J Clin Oncol, 30 (9), pp. 972-979; Campbell, S.M., Braspenning, J., Hutchinson, A., Marshall, M., Research methods used in developing and applying quality indicators in primary care (2002) Qual Saf Health Care, 11 (4), pp. 358-364; Morris, A.M., Billingsley, K.G., Baxter, N.N., Baldwin, L.M., Racial disparities in rectal cancer treatment: A population-based analysis (2004) Arch Surg, 139 (2), pp. 151-155. , discussion 156; Porter, G.A., Soskolne, C.L., Yakimets, W.W., Newman, S.C., Surgeon-related factors and outcome in rectal cancer (1998) Ann Surg, 227 (2), pp. 157-167; Egeberg, R., Halkjaer, J., Rottmann, N., Hansen, L., Holten, I., Social inequality and incidence of and survival from cancers of the colon and rectum in a population-based study in Denmark, 19942003 (2008) Eur J Cancer, 44 (14), pp. 1978-1988; Gavrielov-Yusim, N., Friger, M., Use of administrative medical databases in population-based research (2014) J Epidemiol Community Health, 68 (3), pp. 283-287; Hoover, K.W., Tao, G., Kent, C.K., Aral, S.O., Epidemiologic research using administrative databases: Garbage in, garbage out (2011) Obstet Gynecol, 117 (3), pp. 729-730. , author reply 729-730; Yurkovich, M., Avina-Zubieta, J.A., Thomas, J., Gorenchtein, M., Lacaille, D., A systematic review identifies valid comorbidity indices derived from administrative health data (2015) J Clin Epidemiol, 68 (1), pp. 3-14; Donabedian, A., Evaluating the quality of medical care (1966) Milbank Mem Fund Q, 44 (3), pp. 166-206; Birkmeyer, J.D., Dimick, J.B., Birkmeyer, N.J., Measuring the quality of surgical care: Structure, process, or outcomes? 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(2016) J Gastrointest Surg, 20 (2), pp. 431-438; Gagne, J.J., Glynn, R.J., Avorn, J., Levin, R., Schneeweiss, S., A combined comorbidity score predicted mortality in elderly patients better than existing scores (2011) J Clin Epidemiol, 64 (7), pp. 749-759; Schneeweiss, S., Wang, P.S., Avorn, J., Glynn, R.J., Improved comorbidity adjustment for predicting mortality in Medicare populations (2003) Health Serv Res, 38 (4), pp. 1103-1120; Elixhauser, A., Steiner, C., Harris, D.R., Coffey, R.M., Comorbidity measures for use with administrative data (1998) Med Care, 36 (1), pp. 8-27; Charlson, M.E., Pompei, P., Ales, K.L., Mackenzie, C.R., A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation (1987) J Chronic Dis, 40 (5), pp. 373-383; Sharabiani, M., Aylin, P., Bottle, A., Systematic review of comorbidity indices for administrative data (2012) Med Care, 50 (12), pp. 1109-1118; Hoeffel, C., Mulé, S., Laurent, V., Bouché, O., Volet, J., Soyer, P., Primary rectal cancer local staging (2014) Diagn Interv Imaging, 95 (5), pp. 485-494; Gamagami, R.A., Liagre, A., Chiotasso, P., Istvan, G., Lazorthes, F., Coloanal anastomosis for distal third rectal cancer: Prospective study of oncologic results (1999) Dis Colon Rectum, 42 (10), pp. 1272-1275; Veldkamp, R., Kuhry, E., Hop, W.C., COlon cancer Laparoscopic or Open Resection Study Group (COLOR). 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PY - 2017
Y1 - 2017
N2 - Purpose: Measurement and monitoring of the quality of care using a core set of quality measures are increasing in health service research. Although administrative databases include limited clinical data, they offer an attractive source for quality measurement. The purpose of this study, therefore, was to evaluate the completeness of different administrative data sources compared to a clinical survey in evaluating rectal cancer cases. Methods: Between May 2012 and November 2014, a clinical survey was done on 498 Lombardy patients who had rectal cancer and underwent surgical resection. These collected data were compared with the information extracted from administrative sources including Hospital Discharge Dataset, drug database, daycare activity data, fee-exemption database, and regional screening program database. The agreement evaluation was performed using a set of 12 quality indicators. Results: Patient complexity was a difficult indicator to measure for lack of clinical data. Preoperative staging was another suboptimal indicator due to the frequent missing administrative registration of tests performed. The agreement between the 2 data sources regarding chemoradiotherapy treatments was high. Screening detection, minimally invasive techniques, length of stay, and unpreventable readmissions were detected as reliable quality indicators. Postoperative morbidity could be a useful indicator but its agreement was lower, as expected. Conclusions: Healthcare administrative databases are large and real-time collected repositories of data useful in measuring quality in a healthcare system. Our investigation reveals that the reliability of indicators varies between them. Ideally, a combination of data from both sources could be used in order to improve usefulness of less reliable indicators. © Fondazione IRCCS Istituto Nazionale dei Tumori 2017.
AB - Purpose: Measurement and monitoring of the quality of care using a core set of quality measures are increasing in health service research. Although administrative databases include limited clinical data, they offer an attractive source for quality measurement. The purpose of this study, therefore, was to evaluate the completeness of different administrative data sources compared to a clinical survey in evaluating rectal cancer cases. Methods: Between May 2012 and November 2014, a clinical survey was done on 498 Lombardy patients who had rectal cancer and underwent surgical resection. These collected data were compared with the information extracted from administrative sources including Hospital Discharge Dataset, drug database, daycare activity data, fee-exemption database, and regional screening program database. The agreement evaluation was performed using a set of 12 quality indicators. Results: Patient complexity was a difficult indicator to measure for lack of clinical data. Preoperative staging was another suboptimal indicator due to the frequent missing administrative registration of tests performed. The agreement between the 2 data sources regarding chemoradiotherapy treatments was high. Screening detection, minimally invasive techniques, length of stay, and unpreventable readmissions were detected as reliable quality indicators. Postoperative morbidity could be a useful indicator but its agreement was lower, as expected. Conclusions: Healthcare administrative databases are large and real-time collected repositories of data useful in measuring quality in a healthcare system. Our investigation reveals that the reliability of indicators varies between them. Ideally, a combination of data from both sources could be used in order to improve usefulness of less reliable indicators. © Fondazione IRCCS Istituto Nazionale dei Tumori 2017.
KW - Administrative databases
KW - Healthcare monitoring
KW - Healthcare quality
KW - Rectal cancer
KW - Surgery quality indicators
KW - antineoplastic agent
KW - adjuvant radiotherapy
KW - Article
KW - cancer adjuvant therapy
KW - cancer patient
KW - cancer staging
KW - cancer surgery
KW - cancer therapy
KW - chemoradiotherapy
KW - hospital readmission
KW - human
KW - length of stay
KW - major clinical study
KW - minimally invasive surgery
KW - postoperative complication
KW - rectum cancer
KW - factual database
KW - health care delivery
KW - health care quality
KW - health survey
KW - Italy
KW - primary health care
KW - procedures
KW - prospective study
KW - rectum tumor
KW - reproducibility
KW - standards
KW - statistics and numerical data
KW - validation study
KW - Databases, Factual
KW - Delivery of Health Care
KW - Health Surveys
KW - Humans
KW - Primary Health Care
KW - Prospective Studies
KW - Quality Indicators, Health Care
KW - Rectal Neoplasms
KW - Reproducibility of Results
U2 - 10.5301/tj.5000708
DO - 10.5301/tj.5000708
M3 - Article
SN - 0300-8916
VL - 104
SP - 51
EP - 59
JO - Tumori
JF - Tumori
IS - 1
ER -