Cecil G. Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Injury Prevention Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Pharmacoepidemiol Drug Saf. 2022 Aug;31(8):913-920. doi: 10.1002/pds.5452. Epub 2022 May 23.
Pharmacoepidemiology studies often use insurance claims and/or electronic health records (EHR) to capture information about medication exposure. The choice between these data sources has important implications.
We linked EHR from a large academic health system (2015-2017) to Medicare insurance claims for patients undergoing surgery. Drug utilization was characterized based on medication order dates in the EHR, and prescription fill dates in Medicare claims. We compared opioid use documented in EHR orders to prescription claims in four time periods: 1) Baseline (182 days before surgery); 2) Perioperative period; 3) Discharge date; 4) Follow-up (90 days after surgery).
We identified 11 128 patients undergoing surgery. During baseline, 34.4% (EHR) versus 44.1% (claims) had evidence of opioid use, and 56.9% of all baseline use was reflected only in one data source. During the perioperative period, 78.8% (EHR) versus 47.6% (claims) had evidence of use. On the day of discharge, 59.6% (EHR) versus 45.5% (claims) had evidence of use, and 51.8% of all discharge use was reflected only in one data source. During follow-up, 4.3% (EHR) versus 10.4% (claims) were identified with prolonged opioid use following surgery with 81.4% of all prolonged use reflected only in one data source.
When characterizing opioid exposure, we found substantial discrepancies between EHR medication orders and prescription claims data. In all time periods assessed, most patients' use was reflected only in the EHR, or only in the claims, not both. The potential for misclassification of drug utilization must be evaluated carefully, and choice of data source may have large impacts on key study design elements.
药物流行病学研究通常使用保险索赔和/或电子健康记录(EHR)来获取药物暴露信息。选择这些数据源具有重要意义。
我们将大型学术医疗系统(2015-2017 年)的 EHR 与 Medicare 保险索赔相关联,用于接受手术的患者。药物利用情况基于 EHR 中的药物医嘱日期和 Medicare 索赔中的处方填写日期进行描述。我们比较了 EHR 医嘱中记录的阿片类药物使用情况与四个时间段的处方索赔:1)基线期(手术前 182 天);2)围手术期;3)出院日期;4)随访期(手术后 90 天)。
我们确定了 11128 名接受手术的患者。在基线期,EHR 中有 34.4%(EHR)和索赔中有 44.1%(索赔)有阿片类药物使用证据,而所有基线期使用情况的 56.9%仅反映在一个数据源中。在围手术期,EHR 中有 78.8%(EHR)和索赔中有 47.6%(索赔)有使用证据。在出院日,EHR 中有 59.6%(EHR)和索赔中有 45.5%(索赔)有使用证据,而所有出院期使用情况的 51.8%仅反映在一个数据源中。在随访期,EHR 中有 4.3%(EHR)和索赔中有 10.4%(索赔)被确定为手术后长期使用阿片类药物,而所有长期使用情况的 81.4%仅反映在一个数据源中。
在描述阿片类药物暴露情况时,我们发现 EHR 药物医嘱和处方索赔数据之间存在很大差异。在评估的所有时间段内,大多数患者的使用情况仅反映在 EHR 中,或仅反映在索赔中,而不是同时反映在两者中。必须仔细评估药物利用情况的分类错误,并且数据源的选择可能对关键研究设计元素产生重大影响。