Community-acquired pneumonia (CAP) hospitalizations and deaths: is there a role for quality improvement through inter-hospital comparisons?
Int J Qual Health Care. 2015 Nov 20;
Authors: Aelvoet W, Terryn N, Blommaert A, Molenberghs G, Hens N, De Smet F, Callens M, Beutels P
Abstract
OBJECTIVE: To assess between-hospital variations in standardized in-hospital mortality ratios of community-acquired pneumonia (CAP), and identify possible leads for quality improvement.
DESIGN: We used an administrative database to estimate standardized in-hospital mortality ratios for 111 Belgian hospitals, by carrying out a set of hierarchical logistic regression models, intended to disentangle therapeutic attitudes and biases. To facilitate the detection of false-negative/positive results, we added an inconclusive zone to the funnel plots, derived from the results of the study. Data quality was validated by comparison with (i) alternative data from the largest Belgian Sickness Fund, (ii) published German hospital data and (iii) the results of an on-site audit.
SETTING: All Belgian hospital discharge records from 2004 to 2007.
STUDY PARTICIPANTS: A total of 111 776 adult patients were admitted for CAP.
MAIN OUTCOME MEASURE: Risk-adjusted standardized in-hospital mortality ratios.
RESULTS: Out of the 111 hospitals, we identified five and six outlying hospitals, with standardized mortality ratios of CAP consistently on the extremes of the distribution, as providing possibly better or worse care, respectively, and 18 other hospitals as having possible quality weaknesses/strengths. At the individuals' level of the analysis, adjusted odds ratios showed the paramount importance of old age, comorbidity and mechanical ventilation. The data compared well with the different validation sources.
CONCLUSIONS: Despite the limitations inherent to administrative data, it seemed possible to establish inter-hospital differences in standardized in-hospital mortality ratios of CAP and to identify leads for quality improvement. Monitoring is needed to assess progress in quality.
PMID: 26590376 [PubMed - as supplied by publisher]