BMC Med Inform Decis Mak - Optimal strategy for linkage of datasets containing a statistical linkage key and datasets with full personal identifiers.

Tópicos

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Resumo

CKGROUND: Linkage of aged care and hospitalisation data provides valuable information on patterns of health service utilisation among aged care service recipients. Many aged care datasets in Australia contain a Statistical Linkage Key (SLK-581) instead of full personal identifiers. We linked hospital and death records using a full probabilistic strategy, the SLK-581, and three combined strategies; and compared results for each strategy.METHODS: Linkage of Admitted Patient Data for 2000-01 to 2008-09 and Registry of Births, Deaths and Marriages death registration data for 2008-09 for New South Wales, Australia, was carried out using probabilistic methods and compared to links created using four strategies incorporating a SLK-581. The Basic SLK-581 strategy used the SLK-581 alone. The Most Recent SLK-581, Most Frequent SLK-581, and Any Match SLK-581 strategies leveraged probabilistic links between hospital records drawn from the Centre for Health Record Linkage Master Linkage Key. Rates of hospitalisations among people who died were calculated for each strategy and a range of health conditions.RESULTS: Compared to full probabilistic linkage, the basic SLK-581 strategy produced substantial rates of missed links that increased over the study period and produced underestimates of hospitalisation rates that varied by health condition. The Most Recent SLK-581, Most Frequent SLK-581, and Any Match SLK-581 strategies resulted in substantially lower rates of underestimation than the Basic SLK-581. The Any Match SLK-581 strategy gave results closest to full probabilistic linkage.CONCLUSIONS: Hospitalisation rates prior to death are substantially underestimated by linkage using a SLK-581 alone. Linkage rates can be increased by combining deterministic methods with probabilistically created links across hospital records.

Resumo Limpo

ckground linkag age care hospitalis data provid valuabl inform pattern health servic utilis among age care servic recipi mani age care dataset australia contain statist linkag key slk instead full person identifi link hospit death record use full probabilist strategi slk three combin strategi compar result strategymethod linkag admit patient data registri birth death marriag death registr data new south wale australia carri use probabilist method compar link creat use four strategi incorpor slk basic slk strategi use slk alon recent slk frequent slk match slk strategi leverag probabilist link hospit record drawn centr health record linkag master linkag key rate hospitalis among peopl die calcul strategi rang health conditionsresult compar full probabilist linkag basic slk strategi produc substanti rate miss link increas studi period produc underestim hospitalis rate vari health condit recent slk frequent slk match slk strategi result substanti lower rate underestim basic slk match slk strategi gave result closest full probabilist linkageconclus hospitalis rate prior death substanti underestim linkag use slk alon linkag rate can increas combin determinist method probabilist creat link across hospit record

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