Table 3. Total number of audited variables and percentage of erroneous data by data type during initial audits at seven sites^a.

	Audit Sitesb
	A		B		C		D		E		F		G		All
	N	%err	N	%err	N	%err	N	%err	N	%err	N	%err	N	%err	N	%err
Variables
Gender	29	0%	23	0%	17	0%	27	0%	27	0%	35	0%	26	0%	184	0%
Birth date	29	7%	23	9%	17	0%	27	19%	27	0%	35	0%	26	0%	184	5%
Weight	29	31%	37	41%	55	11%	26	38%	27	93%	268	1%	45	2%	487	14%
Weight date	29	21%	37	30%	55	15%	26	38%	27	100%	268	0%	45	9%	487	14%
Laboratory data
CD4	29	14%	33	21%	31	6%	96	13%	132	5%	134	1%	88	5%	543	7%
CD4 date	29	21%	33	27%	31	10%	96	16%	132	17%	134	1%	88	8%	543	12%
Viral loadc	29	7%	26	42%	0	–	57	25%	120	7%	112	1%	84	4%	428	9%
Viral load datec	29	17%	26	42%	0	–	57	28%	119	13%	112	0%	84	7%	427	12%
Antiretroviral regimen data
Regimen	46	11%	54	26%	23	13%	38	21%	49	22%	67	7%	47	19%	324	17%
Start date	46	28%	54	56%	23	13%	38	32%	49	39%	67	12%	47	26%	324	30%
Stop date	30	27%	54	50%	7	29%	38	29%	49	33%	67	10%	47	38%	292	30%
All	354	17%	400	34%	259	10%	526	21%	758	20%	1299	2%	627	10%	4223	14%

^aThis table shows the number of variables audited in each of eleven categories of data, including gender, birth date, weight, CD4 count, viral load, antiretroviral (ARV) regimens, and all associated dates.

^bColumns contain the counts for each site (N), along with the percentage of data that was labeled “in error” by auditors (%err). The reported percentage of erroneous data includes incorrect, missing, and sourceless values (error categories 3, 4, and 5), but not minor errors.

^cSite C did not submit any viral load data.