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. Author manuscript; available in PMC: 2017 Nov 1.
Published in final edited form as: JAMA Intern Med. 2017 May 1;177(5):693–700. doi: 10.1001/jamainternmed.2016.9685

Table 2.

Thirty-Day Mortality for Admissions During TJC Survey Weeks vs Other Weeks

Factor No. 30-d Mortality (%)
Unadjusted
Adjusteda
Survey Weeks
Absolute Difference Absolute Difference (95% CI) P Value
Non-TJCb TJC
All admissions 1 707 126 7.21 7.03 −0.18 −0.12 (−0.22 to −0.01) .03

Teaching hospital status

 Nonmajor 1 568 812 7.28 7.13 −0.16 −0.10 (−0.21 to 0.01) .08

 Major 136 693 6.41 5.93 −0.49 −0.38 (−0.74 to −0.03) .04

CMS total performance score halves

 Lower half 1 102 021 7.28 7.12 −0.16 −0.10 (−0.23 to 0.03) .14

 Upper half 561 730 7.11 6.86 −0.25 −0.16 (−0.34 to 0.01) .07

Patient-expected mortality halvesc

 Lower half 864 241 1.19 1.20 0.01 0.02 (−0.08 to 0.11) .72

 Upper half 842 885 13.37 13.08 −0.29 −0.19 (−0.35 to −0.03) .02

Abbreviations: CMS, Centers for Medicare & Medicaid Services; TJC, The Joint Commission.

a

Adjusted results were estimated from logistic regression models comparing 30-d mortality outcomes between TJC survey weeks vs nonsurvey weeks, with separate models estimated for each subgroup. All models were adjusted for age, sex, race/ethnicity, Elixhauser comorbidity score, the presence of any of 11 chronic illnesses (reported in Table 1), and major diagnostic category for admission. All analyses used robust variance estimators to account for clustering of admissions within hospitals. Absolute percentage changes in mortality attributable to TJC surveys were estimated using a marginal standardization approach.

b

Non-TJC survey weeks were defined as the 6 weeks occurring 3 weeks before and 3 weeks after the week of the TJC survey.

c

Expected 30-d mortality was calculated using a logistic regression model including all patient characteristics in the entire 100% Medicare admission data set (eMethods in the Supplement), and patients were categorized as having mortality above or below the expected median.