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Article: Analysis of the impact of practice characteristics and social deprivation on prescribing quality for asthma

TitleAnalysis of the impact of practice characteristics and social deprivation on prescribing quality for asthma
Authors
Issue Date1999
PublisherB M J Publishing Group. The Journal's web site is located at http://thorax.bmjjournals.com/
Citation
Thorax, 1999, v. 54 SUPPL. 3, p. A54 How to Cite?
AbstractBackground: Several studies have shown that there is a relationship between demographic and practice characteristics with the pattern of drugs used/prescribed by/to patients. This study was designed to investigate the causal effects of the different soft-economic and practice characteristics including Jarman score (JS) reflecting the potential workload on the services of general practitioners (GPs); Townsend index (TI) as the indicator of material deprivation; fund-holding status (FHS) of the practices; percentage of south Asians (PSA) registered in the practices and the number of patients per GP (PPGP), on the respiratory drugs prescribing. Method: This study is a retrospective analysis of PACT level 3 data of April 1996 to March 1997 for BNF category 3 (chapters 3.1-3.3), prescribed by GPs in Bradford. Simple linear regression and ridge regression analysis models were applied to describe the relationships between the characteristics of practices and of the practice population with the preventive to bronchodilator ratio (P:B), based on Defined Daiy Doses, as the quality indicator of asthma prescribing. Results: PACT data of 62 (64%) consenting practices located in Bradford have been analysed. 36 (58%) practices were fund-holding and 26 (42%) were not. The summary of the distribution of the variables and regression results is shown below. Median Mean (SD) Range P Value Ratio of P:B 0.49 0.51 (0.15) 0.05, 0.85 NA JS 20.23 23.47 (21.22) -12.84, 58.92 0.049 TI 2.87 3.49 (3.71) -3.70, 9.86 0.062 PPGP 1755.9 1934.2 (635.1) 1082, 3750 0.287 FHS NA NA NA 0.329 PSA 6.18 25.11 (34.31) 0.20, 96.43 0.373 The resuts of the regression analysis showed that the JS has a significant inverse relationship with the P:B ratio (P=0.049, r= -0.25, r 2= 0.06). There was also an inverse non-significant association between TI and the P:B ratio (P=0.062, r= -0.24, r 2= 0.06). Analyses of the effects of the four other variables were not significant. Conclusion: In the more deprived areas using the P:B ratio suggests that the respiratory drugs usage pattern may be less appropriate in comparison with more affluent areas. This might be because of the higher workload of the practices in these areas (indicated by higher Jarman scores). To achieve more accurate results, the use of individual prescribing information and the socio-economic situation of asthmatics with links them to outcomes of the treatment is in progress.
Persistent Identifierhttp://hdl.handle.net/10722/171365
ISSN
2023 Impact Factor: 9.0
2023 SCImago Journal Rankings: 3.001

 

DC FieldValueLanguage
dc.contributor.authorSalamzadeh, Jen_US
dc.contributor.authorPatel, Men_US
dc.contributor.authorWong, Ien_US
dc.contributor.authorWright, Den_US
dc.contributor.authorChrystyn, Hen_US
dc.date.accessioned2012-10-30T06:13:38Z-
dc.date.available2012-10-30T06:13:38Z-
dc.date.issued1999en_US
dc.identifier.citationThorax, 1999, v. 54 SUPPL. 3, p. A54en_US
dc.identifier.issn0040-6376en_US
dc.identifier.urihttp://hdl.handle.net/10722/171365-
dc.description.abstractBackground: Several studies have shown that there is a relationship between demographic and practice characteristics with the pattern of drugs used/prescribed by/to patients. This study was designed to investigate the causal effects of the different soft-economic and practice characteristics including Jarman score (JS) reflecting the potential workload on the services of general practitioners (GPs); Townsend index (TI) as the indicator of material deprivation; fund-holding status (FHS) of the practices; percentage of south Asians (PSA) registered in the practices and the number of patients per GP (PPGP), on the respiratory drugs prescribing. Method: This study is a retrospective analysis of PACT level 3 data of April 1996 to March 1997 for BNF category 3 (chapters 3.1-3.3), prescribed by GPs in Bradford. Simple linear regression and ridge regression analysis models were applied to describe the relationships between the characteristics of practices and of the practice population with the preventive to bronchodilator ratio (P:B), based on Defined Daiy Doses, as the quality indicator of asthma prescribing. Results: PACT data of 62 (64%) consenting practices located in Bradford have been analysed. 36 (58%) practices were fund-holding and 26 (42%) were not. The summary of the distribution of the variables and regression results is shown below. Median Mean (SD) Range P Value Ratio of P:B 0.49 0.51 (0.15) 0.05, 0.85 NA JS 20.23 23.47 (21.22) -12.84, 58.92 0.049 TI 2.87 3.49 (3.71) -3.70, 9.86 0.062 PPGP 1755.9 1934.2 (635.1) 1082, 3750 0.287 FHS NA NA NA 0.329 PSA 6.18 25.11 (34.31) 0.20, 96.43 0.373 The resuts of the regression analysis showed that the JS has a significant inverse relationship with the P:B ratio (P=0.049, r= -0.25, r 2= 0.06). There was also an inverse non-significant association between TI and the P:B ratio (P=0.062, r= -0.24, r 2= 0.06). Analyses of the effects of the four other variables were not significant. Conclusion: In the more deprived areas using the P:B ratio suggests that the respiratory drugs usage pattern may be less appropriate in comparison with more affluent areas. This might be because of the higher workload of the practices in these areas (indicated by higher Jarman scores). To achieve more accurate results, the use of individual prescribing information and the socio-economic situation of asthmatics with links them to outcomes of the treatment is in progress.en_US
dc.languageengen_US
dc.publisherB M J Publishing Group. The Journal's web site is located at http://thorax.bmjjournals.com/en_US
dc.relation.ispartofThoraxen_US
dc.titleAnalysis of the impact of practice characteristics and social deprivation on prescribing quality for asthmaen_US
dc.typeArticleen_US
dc.identifier.emailWong, I:wongick@hku.hken_US
dc.identifier.authorityWong, I=rp01480en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-4243403320en_US
dc.identifier.volume54en_US
dc.identifier.issueSUPPL. 3en_US
dc.identifier.spageA54en_US
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridSalamzadeh, J=25636288500en_US
dc.identifier.scopusauthoridPatel, M=24766524300en_US
dc.identifier.scopusauthoridWong, I=7102513915en_US
dc.identifier.scopusauthoridWright, D=7404380769en_US
dc.identifier.scopusauthoridChrystyn, H=7005136151en_US
dc.identifier.issnl0040-6376-

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