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CHEN Jintao, QIAO Ziying, MA Minghua, ZHANG Ruoxi, WANG Zhenwei, NIAN Hua. Study on the potential mechanism of JQQSG for the treatment of CAP based on network pharmacology and molecular docking technology[J]. Journal of Pharmaceutical Practice and Service, 2024, 42(11): 471-478. doi: 10.12206/j.issn.2097-2024.202312014
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

Research on prescription behavior using electronic prescription data

doi: 10.3969/j.issn.1006-0111.2012.03.023
  • 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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    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 36.5 %其他: 36.5 %其他: 2.2 %其他: 2.2 %China: 0.4 %China: 0.4 %India: 0.8 %India: 0.8 %[]: 1.8 %[]: 1.8 %上海: 0.8 %上海: 0.8 %临沂: 0.4 %临沂: 0.4 %加利福尼亚州: 0.4 %加利福尼亚州: 0.4 %北京: 7.7 %北京: 7.7 %南京: 0.6 %南京: 0.6 %孟买: 0.2 %孟买: 0.2 %密蘇里城: 0.4 %密蘇里城: 0.4 %巴音郭楞: 0.2 %巴音郭楞: 0.2 %张家口: 0.4 %张家口: 0.4 %成都: 0.4 %成都: 0.4 %杭州: 1.6 %杭州: 1.6 %楠榜: 0.4 %楠榜: 0.4 %武汉: 0.2 %武汉: 0.2 %沈阳: 0.4 %沈阳: 0.4 %河内: 0.8 %河内: 0.8 %海口: 0.2 %海口: 0.2 %登巴萨: 0.6 %登巴萨: 0.6 %盐城: 0.2 %盐城: 0.2 %石家庄: 0.4 %石家庄: 0.4 %福州: 0.2 %福州: 0.2 %芒廷维尤: 25.5 %芒廷维尤: 25.5 %西宁: 13.4 %西宁: 13.4 %达尔斯: 0.2 %达尔斯: 0.2 %达拉斯: 0.2 %达拉斯: 0.2 %运城: 0.4 %运城: 0.4 %连云港: 0.2 %连云港: 0.2 %长沙: 0.4 %长沙: 0.4 %长治: 0.2 %长治: 0.2 %阜阳: 0.2 %阜阳: 0.2 %雅典: 0.6 %雅典: 0.6 %黄冈: 0.8 %黄冈: 0.8 %其他其他ChinaIndia[]上海临沂加利福尼亚州北京南京孟买密蘇里城巴音郭楞张家口成都杭州楠榜武汉沈阳河内海口登巴萨盐城石家庄福州芒廷维尤西宁达尔斯达拉斯运城连云港长沙长治阜阳雅典黄冈Highcharts.com
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Research on prescription behavior using electronic prescription data

doi: 10.3969/j.issn.1006-0111.2012.03.023

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.

CHEN Jintao, QIAO Ziying, MA Minghua, ZHANG Ruoxi, WANG Zhenwei, NIAN Hua. Study on the potential mechanism of JQQSG for the treatment of CAP based on network pharmacology and molecular docking technology[J]. Journal of Pharmaceutical Practice and Service, 2024, 42(11): 471-478. doi: 10.12206/j.issn.2097-2024.202312014
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
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