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Article Navigation >  Journal of Pharmaceutical Practice and Service  > 2012  >  30(3): 235-238

WANG Chun-yan, SHU Li-xin, HAN bing. Research on prescription behavior using electronic prescription data[J]. Journal of Pharmaceutical Practice and Service, 2012, 30(3): 235-238. doi: 10.3969/j.issn.1006-0111.2012.03.023
Citation: WANG Chun-yan, SHU Li-xin, HAN bing. Research on prescription behavior using electronic prescription data[J]. Journal of Pharmaceutical Practice and Service, 2012, 30(3): 235-238. doi: 10.3969/j.issn.1006-0111.2012.03.023
shu

Research on prescription behavior using electronic prescription data

doi: 10.3969/j.issn.1006-0111.2012.03.023
  • 1.

    Minhang District Central Hospital, Ruijin Hospital Group, Shanghai 201199,China

  • 2.

    School of Pharmacy, the Second Military Medical University, Shanghai 200433,China

  • Received Date: 2012-05-09
  • Rev Recd Date: 2012-05-15
  • Objective To investigate the application of electronic prescriptions data in prescribing behavior research. Methods 2010 annual electronic prescription information diagnosis of peptic ulcer were collected in a district-level central hospital, SPSS(version18.0 ) was used to statistical analysis. Results Total amount of prescription prescribed by attending physicians were significantly different with residencies and chief physicians; Total amount and the total number of prescription without medical insurance were higher than those with medical insurance; there was a linear relationship among prescription total amount and medical insurance, patient age, the number constituent ratio of imported drugs, the number constituent ratio of own-expense drugs, the amount constituent ratio of own-expense drugs. Conclusion Attending physicians should be the focus group by outpatient consumption control interventions, medical insurance policies could not restrict at own-expense medicines prescription, electronic prescriptions data could be used in prescribing behavior research combined with treatment guidelines.
  • [1] Raisch DW. A model of methods for influencing prescribing: Part II. A review of educational methods, theories of human inference, and delineation of the model[J]. DICP. 1990;24(5):537.
    [2] Raisch DW. A model of methods for influencing prescribing: Part I. A review of prescribing models, persuasion theories, and administrative and educational methods[J]. DICP. 1990;24(4):417.
    [3] Manchanda P, Chintagunta PK. Responsiveness of physician prescription behavior to salesforce effort: an individual level analysis[J]. Marketing Letters. 2004;15(2-3): 129.
    [4] 李 光. 影响医生诊疗行为的多因素logistic回归分析[J]. 职业与健康.2011;27(2):223.
    [5] 柴佳鹏. 临床医生处方行为的影响因素分析与实证研究［D］.复旦大学硕士学位论文.2009.
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Research on prescription behavior using electronic prescription data

doi: 10.3969/j.issn.1006-0111.2012.03.023
  • 1. Minhang District Central Hospital, Ruijin Hospital Group, Shanghai 201199,China
  • 2. School of Pharmacy, the Second Military Medical University, Shanghai 200433,China
  • Received Date: 2012-05-09
  • Rev Recd Date: 2012-05-15

Abstract: Objective To investigate the application of electronic prescriptions data in prescribing behavior research. Methods 2010 annual electronic prescription information diagnosis of peptic ulcer were collected in a district-level central hospital, SPSS(version18.0 ) was used to statistical analysis. Results Total amount of prescription prescribed by attending physicians were significantly different with residencies and chief physicians; Total amount and the total number of prescription without medical insurance were higher than those with medical insurance; there was a linear relationship among prescription total amount and medical insurance, patient age, the number constituent ratio of imported drugs, the number constituent ratio of own-expense drugs, the amount constituent ratio of own-expense drugs. Conclusion Attending physicians should be the focus group by outpatient consumption control interventions, medical insurance policies could not restrict at own-expense medicines prescription, electronic prescriptions data could be used in prescribing behavior research combined with treatment guidelines.

WANG Chun-yan, SHU Li-xin, HAN bing. Research on prescription behavior using electronic prescription data[J]. Journal of Pharmaceutical Practice and Service, 2012, 30(3): 235-238. doi: 10.3969/j.issn.1006-0111.2012.03.023
Citation: WANG Chun-yan, SHU Li-xin, HAN bing. Research on prescription behavior using electronic prescription data[J]. Journal of Pharmaceutical Practice and Service, 2012, 30(3): 235-238. doi: 10.3969/j.issn.1006-0111.2012.03.023
shu

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