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. 2022 Feb 17;57(3):587–597. doi: 10.1111/1475-6773.13947

TABLE 3.

Association between hospital characteristics and hospital publication volumes using negative binomial regression

Variables Rate ratio 95% confidence interval p value
Teaching status
COTH teaching 24.29 15.03–38.86 <0.0001
Non‐COTH teaching 3.09 2.44–3.94 <0.0001
Nonteaching hospitals ref ref ref
Hospital ownership
Not‐for‐profit 1.39 1.04–1.86 0.03
Government‐owned 2.59 1.75–3.78 <0.0001
Investor‐owned ref ref ref
Metropolitan location
Yes 1.16 0.87–1.54 0.32
No ref ref ref
Magnet status in 2015–2016
Yes 1.36 0.97–1.90 0.07
No ref ref ref
Hospital beds (per 10 beds increase) 1.02 1.01–1.03 <0.0001
Percent of Medicaid admissions among all inpatient admissions, 1% increase 0.99 0.98–0.998 0.01
Regions (Census divisions)
Mid/South Atlantic 1.02 0.66–1.58 0.92
Pacific 1.99 1.23–3.19 0.01
East North/South Central 0.99 0.63–1.55 0.97
West North/South Central 1.42 0.90–2.23 0.12
New England 3.90 2.16–6.96 <0.0001
Mountain ref ref ref

Note: Negative binomial regression for number of publications with an offset for the annual admissions was used to estimate the association between hospital characteristics and expected publication rates. The rate ratio refers to the ratio of expected rate of publications per annual admission relative to the reference group after adjustment for the other variables listed. Significant predictors of high publication rates included teaching intensity, number of hospital beds, New England or Pacific region, not‐for‐profit or government ownership. Percentage of Medicaid admissions was negatively associated with publication rates.