Levy Adrian R, O'Brien Bernie J, Sellors Connie, Grootendorst Paul, Willison Donald
Centre for Health Evaluation & Outcome Sciences, St Paul's Hospital, Vancouver, Canada.
Can J Clin Pharmacol. 2003 Summer;10(2):67-71.
Every year in Ontario, the records of over 42 million prescriptions dispensed to persons eligible for Ontario Drug Benefit (ODB) benefits are transmitted to a central database. The ODB database is the second largest database of medications in Canada, containing records on almost half of all medications dispensed in Ontario. There is no information about the reliability of the coding on the ODB drug claims database and, therefore, the objective of this study was to estimate the reliability of coding of the Drug Identification Number, and the date, quantity and duration of the dispensation on claims sent to the ODB.
To meet this objective, approximately 100 randomly selected prescriptions dispensed from each of 50 pharmacies in southern Ontario between July 1, 1998 and December 31, 1999 were audited. For each claim, the written information on the prescription was compared with the electronic information submitted to the ODB database. Logistic regression was used to test the association between coding errors and the location, owner affiliation, and productivity of each pharmacy (defined as the annual volume of dispensations divided by the annual number of hours worked by all pharmacists and pharmacy assistants).
Of the 183 pharmacies owners invited to participate, consent to abstract information was obtained in 50, yielding a participation rate of 27%. Of the 5155 dispensed prescriptions, 37 errors were found, yielding an overall error rate of 0.7% (95% CI 0.5% to 0.9%). None of the characteristics of pharmacies that were examined (location, owner affiliation, productivity) was associated with coding errors.
Pharmacists almost always dispense the medication that is prescribed and this information is reliably transmitted to the ODB drug claims database. This means that any conclusions drawn by researchers using these data are not likely to be compromised by low coding reliability.
在安大略省,每年超过4200万份发放给符合安大略省药物福利(ODB)资格人员的处方记录会被传输到一个中央数据库。ODB数据库是加拿大第二大药物数据库,包含安大略省几乎一半药物发放记录。关于ODB药物报销数据库编码的可靠性没有相关信息,因此,本研究的目的是评估药物识别码编码以及发送到ODB的报销申请中配药日期、数量和持续时间的编码可靠性。
为实现这一目标,对1998年7月1日至1999年12月31日期间安大略省南部50家药店中随机抽取的约100份已配处方进行了审核。对于每份报销申请,将处方上的书面信息与提交给ODB数据库的电子信息进行比较。采用逻辑回归分析来检验编码错误与每家药店的位置、所有者所属关系及生产率(定义为年配药量除以所有药剂师和药房助理的年工作小时数)之间的关联。
在受邀参与的183家药店所有者中,50家同意提取信息,参与率为27%。在5155份已配处方中,发现37处错误,总体错误率为0.7%(95%可信区间为0.5%至0.9%)。所检查的药店特征(位置、所有者所属关系、生产率)均与编码错误无关。
药剂师几乎总是配发所开的药物,且这些信息能可靠地传输到ODB药物报销数据库。这意味着研究人员利用这些数据得出的任何结论不太可能因编码可靠性低而受到影响。