Literature DB >> 20059785

Using clinical databases to evaluate healthcare interventions.

Sheila Harvey1, Kathy Rowan, David Harrison, Nick Black.   

Abstract

OBJECTIVES: The aim of this study was to test the feasibility of conducting rigorous, nonrandomized studies (NRSs) of healthcare interventions using existing clinical databases in terms of the following: recruiting a large representative sample of hospitals, identifying eligible cases, matching cases to controls to achieve similar baseline characteristics, making meaningful comparisons of outcomes, and carrying out subgroup analyses.
METHODS: Data were extracted from the Intensive Care National Audit & Research Centre's Case Mix Programme Database to investigate the impact of management with a pulmonary artery catheter (PAC) in intensive care unit (ICU) patients. Participating ICUs were invited to collect additional data for the analysis. Patients managed with a PAC were matched to control patients on their propensity score. Hospital mortality was then compared between the two groups.
RESULTS: Of 117 eligible ICUs, 68 (58 percent) agreed to participate, of which 57 (84 percent) collected additional data. Although a slightly higher proportion of larger ICUs in university hospitals participated, the patient case-mix was similar to that in nonparticipating ICUs. Almost all patients managed with a PAC (98 percent) were successfully matched to patients managed without a PAC. The two groups were similar for baseline characteristics. However, hospital mortality was worse for PAC patients than for non-PAC patients (odds ratio, 1.28; 95 percent confidence interval, 1.06-1.55). Subgroup analysis suggested that the impact of management with a PAC was modified by severity of illness.
CONCLUSIONS: Rigorous NRSs are feasible if they are based on data from high-quality clinical databases. However, the reliability of estimated treatment effects from such studies requires further investigation.

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Year:  2010        PMID: 20059785     DOI: 10.1017/S0266462309990572

Source DB:  PubMed          Journal:  Int J Technol Assess Health Care        ISSN: 0266-4623            Impact factor:   2.188


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2.  An Algorithm for Creating Virtual Controls Using Integrated and Harmonized Longitudinal Data.

Authors:  William B Hansen; Shyh-Huei Chen; Santiago Saldana; Edward H Ip
Journal:  Eval Health Prof       Date:  2018-05-03       Impact factor: 2.651

Review 3.  Evaluating complex interventions in end of life care: the MORECare statement on good practice generated by a synthesis of transparent expert consultations and systematic reviews.

Authors:  Irene J Higginson; Catherine J Evans; Gunn Grande; Nancy Preston; Myfanwy Morgan; Paul McCrone; Penney Lewis; Peter Fayers; Richard Harding; Matthew Hotopf; Scott A Murray; Hamid Benalia; Marjolein Gysels; Morag Farquhar; Chris Todd
Journal:  BMC Med       Date:  2013-04-24       Impact factor: 8.775

4.  Reductions in Methicillin-resistant Staphylococcus aureus, Clostridium difficile Infection and Intensive Care Unit-Acquired Bloodstream Infection Across the United Kingdom Following Implementation of a National Infection Control Campaign.

Authors:  Jonathan D Edgeworth; Rahul Batra; Jerome Wulff; David Harrison
Journal:  Clin Infect Dis       Date:  2020-06-10       Impact factor: 9.079

  4 in total

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