Division of General Pediatrics (SC McBride and JG Berry), Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Mass.
Children's Hospital Association (M Hall and MG Hall), Lenexa, Kans.
Acad Pediatr. 2024 Apr;24(3):503-505. doi: 10.1016/j.acap.2023.08.014. Epub 2023 Aug 29.
Pediatric researchers use Agency for Healthcare Research and Quality (AHRQ) Kids' Inpatient Database (KID) and National Inpatient Sample (NIS) to analyze the national resource use and outcomes of hospitalized children. Inherent KID-NIS sampling design differences may yield disparate findings. We compared discharge counts and length of stay (LOS) between KID and NIS for common and rare reasons for hospitalization.
Retrospective analysis of differences in discharges counts and geometric mean LOS for children ages 0-20 years from KID and NIS in 2019, measured for normal newborns and 331 additional reasons for admission, distinguished by All-Payer Refined Diagnosis Related Groups (APR-DRG) and categorized in deciles by annual discharge volume. We followed AHRQ instructions for data clustering, stratification, and weighting to accommodate the KID and NIS designs, including random samples of 80% and 20% of pediatric discharges, respectively, per hospital.
KID-NIS differences in national estimates for total annual discharge counts differed by only 0.5% for normal newborns and 3.7% for all other admission reasons in children. KID-NIS differences remained small aside from reasons for admission in the two lowest volume deciles: 9.5% (SD 7.9%) for admission volumes 200-520; 41.1% (SD 64.2%) for volumes <200. KID-NIS LOS differences for these two-lowest volume deciles were 7.9% (SD 7.1%) and 26.0% (SD 29.3%), respectively.
Although KID-NIS differences in discharge counts and LOS were small for high-volume admissions, the differences increased with reasons for admission that had annual discharge volumes approximately 500 or less. For study populations with discharge counts <500, KID may be preferred, given its higher sampling of discharges per hospital.
儿科研究人员使用医疗保健研究与质量署(AHRQ)儿科住院患者数据库(KID)和国家住院患者样本(NIS)来分析全国范围内住院儿童的资源利用和结果。由于 KID 和 NIS 的固有抽样设计差异,可能会产生不同的研究结果。我们比较了 KID 和 NIS 之间常见和罕见住院原因的出院人数和住院时间(LOS)。
2019 年,对 KID 和 NIS 中 0-20 岁儿童的出院人数和几何均数 LOS 进行差异的回顾性分析,分别对正常新生儿和 331 种额外入院原因进行测量,根据所有支付方改进诊断相关组(APR-DRG)进行区分,并按每年出院量分为十个十位数。我们遵循 AHRQ 关于数据聚类、分层和加权的说明,以适应 KID 和 NIS 的设计,包括分别对每个医院的儿科出院人数进行 80%和 20%的随机抽样。
对于正常新生儿和所有其他儿童入院原因,KID-NIS 全国估计年度总出院人数的差异仅为 0.5%和 3.7%。除了两个最低容量十位数的入院原因外,KID-NIS 差异仍然很小:200-520 个入院人数的 9.5%(SD 7.9%);<200 个入院人数的 41.1%(SD 64.2%)。对于这两个最低容量十位数,KID-NIS LOS 差异分别为 7.9%(SD 7.1%)和 26.0%(SD 29.3%)。
尽管对于高容量入院,KID-NIS 在出院人数和 LOS 方面的差异较小,但随着每年出院人数约为 500 或更少的入院原因,差异会增加。对于出院人数<500 的研究人群,由于 KID 对每个医院的出院人数进行了更高的抽样,因此 KID 可能更受欢迎。