Literature DB >> 11166537

Matching prescription claims with medication data for nursing home residents: implications for prescriber feedback, drug utilisation studies and selection of prescription claims database.

M A King1, D M Purdie, M S Roberts.   

Abstract

Medication data retrieved from Australian Repatriation Pharmaceutical Benefits Scheme (RPBS) claims for 44 veterans residing in nursing homes and Pharmaceutical Benefits Scheme (PBS) claims for 898 nursing home residents were compared with medication data from nursing home records to determine the optimal time interval for retrieving claims data and its validity. Optimal matching was achieved using 12 weeks of RPBS claims data, with 60% of medications in the RPBS claims located in nursing home administration records, and 78% of medications administered to nursing home residents identified in RPBS claims. In comparison, 48% of medications administered to nursing home residents could be found in 12 weeks of PBS data, and 56% of medications present in PBS claims could be matched with nursing home administration records. RPBS claims data was superior to PBS, due to the larger number of scheduled items available to veterans and the veteran's file number, which acts as a unique identifier. These findings should be taken into account when using prescription claims data for medication histories, prescriber feedback, drug utilisation, intervention or epidemiological studies.

Mesh:

Year:  2001        PMID: 11166537     DOI: 10.1016/s0895-4356(00)00282-1

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  7 in total

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Authors:  Michelle A King; Michael S Roberts
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4.  Medication reviews in the community: results of a randomized, controlled effectiveness trial.

Authors:  Lene Sorensen; Julie A Stokes; David M Purdie; Michael Woodward; Rohan Elliott; Michael S Roberts
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5.  Reliability of medicaid claims versus medical record data: in a cost analysis of palivizumab.

Authors:  Julie Jacobson Vann; John Feaganes; Steven Wegner
Journal:  Pharmacoeconomics       Date:  2007       Impact factor: 4.981

6.  Accuracy of telephone self-report of drug use in older people and agreement with pharmaceutical claims data.

Authors:  Sabrina Winona Pit; Julie Ellen Byles; Jill Cockburn
Journal:  Drugs Aging       Date:  2008       Impact factor: 3.923

7.  Patterns of high-risk prescribing and other factors in relation to receipt of a home medicines review: a prospective cohort investigation among adults aged 45 years and over in Australia.

Authors:  Wei Du; Danijela Gnjidic; Sallie-Anne Pearson; Sarah N Hilmer; Andrew J McLachlan; Fiona Blyth; Rosalie Viney; Grace Joshy; Cathy Day; Emily Banks
Journal:  BMJ Open       Date:  2019-02-15       Impact factor: 2.692

  7 in total

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