Systematic review of discharge coding accuracy
Systematic review of discharge coding accuracy
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DOI：
10.1093/pubmed/fdr054
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发表时间：
2012-03-01
影响因子：
4.4
通讯作者：
Faiz, O. D.
中科院分区：
文献类型：
--
作者：
Burns, E. M.;Rigby, E.;Faiz, O. D.
常规收集的数据集越来越多地用于研究、财务补偿和卫生服务规划。高质量的数据是可靠分析所必需的。本研究旨在评估英国常规收集的数据集的公布准确性。系统检索EMBASE、PubMed、Ovid和Cochrane数据库从1989年至今，使用定义的检索词。纳入的研究包括将常规收集的数据集与病例或手术笔记回顾进行比较的研究，以及将常规收集的数据与临床登记进行比较的研究。25项研究将常规收集的数据与病例或手术笔记进行了比较。七项研究将常规收集的数据与临床登记进行了比较。总体中位准确率(常规收集的数据集与病例笔记)为83.2(IQR：67.392.1)。诊断准确率中位数为80.3(IQR：63.394.1)，操作准确率中位数为84.2(IQR：68.788.7)。不同研究之间的准确率差异很大(50.597.8)。自2002年引入按结果付费以来，准确率在某些方面有所提高，例如，初级诊断准确率从73.8(IQR：59.392.1)提高到96.0(IQR：89.396.3)，P0.020。目前报告的准确性水平表明，例行收集的数据足够稳健，足以支持将其用于研究和管理决策。
Routinely collected data sets are increasingly used for research, financial reimbursement and health service planning. High quality data are necessary for reliable analysis. This study aims to assess the published accuracy of routinely collected data sets in Great Britain.Systematic searches of the EMBASE, PUBMED, OVID and Cochrane databases were performed from 1989 to present using defined search terms. Included studies were those that compared routinely collected data sets with case or operative note review and those that compared routinely collected data with clinical registries.Thirty-two studies were included. Twenty-five studies compared routinely collected data with case or operation notes. Seven studies compared routinely collected data with clinical registries. The overall median accuracy (routinely collected data sets versus case notes) was 83.2 (IQR: 67.392.1). The median diagnostic accuracy was 80.3 (IQR: 63.394.1) with a median procedure accuracy of 84.2 (IQR: 68.788.7). There was considerable variation in accuracy rates between studies (50.597.8). Since the 2002 introduction of Payment by Results, accuracy has improved in some respects, for example primary diagnoses accuracy has improved from 73.8 (IQR: 59.392.1) to 96.0 (IQR: 89.396.3), P 0.020.Accuracy rates are improving. Current levels of reported accuracy suggest that routinely collected data are sufficiently robust to support their use for research and managerial decision-making.