J Biomed Inform - Evaluation of matched control algorithms in EHR-based phenotyping studies: a case study of inflammatory bowel disease comorbidities.

Tópicos

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{ ehr(2073) health(1662) electron(1139) }
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{ age(1611) year(1155) adult(843) }
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Resumo

The success of many population studies is determined by proper matching of cases to controls. Some of the confounding and bias that afflict electronic health record (EHR)-based observational studies may be reduced by creating effective methods for finding adequate controls. We implemented a method to match case and control populations to compensate for sparse and unequal data collection practices common in EHR data. We did this by matching the healthcare utilization of patients after observing that more complete data was collected on high healthcare utilization patients vs. low healthcare utilization patients. In our results, we show that many of the anomalous differences in population comparisons are mitigated using this matching method compared to other traditional age and gender-based matching. As an example, the comparison of the disease associations of ulcerative colitis and Crohn's disease show differences that are not present when the controls are chosen in a random or even a matched age/gender/race algorithm. In conclusion, the use of healthcare utilization-based matching algorithms to find adequate controls greatly enhanced the accuracy of results in EHR studies. Full source code and documentation of the control matching methods is available at https://community.i2b2.org/wiki/display/conmat/.

Resumo Limpo

success mani popul studi determin proper match case control confound bias afflict electron health record ehrbas observ studi may reduc creat effect method find adequ control implement method match case control popul compens spars unequ data collect practic common ehr data match healthcar util patient observ complet data collect high healthcar util patient vs low healthcar util patient result show mani anomal differ popul comparison mitig use match method compar tradit age genderbas match exampl comparison diseas associ ulcer coliti crohn diseas show differ present control chosen random even match agegenderrac algorithm conclus use healthcar utilizationbas match algorithm find adequ control great enhanc accuraci result ehr studi full sourc code document control match method avail httpscommunityiborgwikidisplayconmat

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