Revealing doctors' prescribing choice dimensions with multivariate tools: A perceptual mapping approach

This article explores the use of multivariate techniques to build perceptual maps that show the perceived competitive positions of a set of ethical drugs. The data were drawn from a commercial panel of 283 family doctors working for the UK National Health Service. Factor analysis was applied to identify the main dimensions used by doctors to perceive and evaluate antihypertensive brands. Perceptual maps showing the competitive positions of 14 antihypertensives were produced using the factor scores of the medicines. Multiple regression analysis enabled the relative importance of each perceptual dimension to be determined. The results reveal that doctors use a small number of perceptual dimensions to evaluate competitive antihypertensive drugs, namely: "medical support", "long term efficacy", and the "additional beneficial effects" provided by the brand. The implications for marketing managers in the ethical pharmaceutical industry are explained and ways in which the perceptual analysis can be used to guide strategic marketing decisions considered.

[1]  Paul Kline,et al.  An easy guide to factor analysis , 1993 .

[2]  Brian Everitt,et al.  Cluster analysis , 1974 .

[3]  K. Reynolds,et al.  Global burden of hypertension: analysis of worldwide data , 2005, The Lancet.

[4]  Patrick Hartmann,et al.  Green branding effects on attitude: functional versus emotional positioning strategies , 2005 .

[5]  V. Chinburapa,et al.  Predicting Prescribing Intention and Assessing Drug Attribute Importance Using Conjoint Analysis , 1988 .

[6]  Marcel Corstjens,et al.  Marketing Strategy in the Pharmaceutical Industry , 1991 .

[7]  M. Uysal,et al.  MARKET POSITIONING ANALYSIS: A Hybrid Approach , 2002 .

[8]  Pieter Reitsma,et al.  Educational and Psychological Measurement , 2003 .

[9]  Patrick J. F. Groenen,et al.  VIPSCAL: A combined vector ideal point model for preference data , 2005 .

[10]  H. Hotelling.  Stability in Competition , 1929 .

[11]  J. H. Ward.  Hierarchical Grouping to Optimize an Objective Function , 1963 .

[12]  F. Haaijer-Ruskamp,et al.  How physicians choose drugs. , 1988, Social science & medicine.

[13]  J. Hair.  Multivariate data analysis , 1972 .

[14]  Henry M. Kim,et al.  Relationships among the academic business disciplines: a multi-method citation analysis , 2006 .

[15]  Assessing Drug Attribute Importance: A Comparison of Conjoint Analysis and Process-Tracing Techniques , 1993 .

[16]  J. Kruskal.  Nonmetric multidimensional scaling: A numerical method , 1964 .

[17]  H. Kaiser,et al.  Little Jiffy, Mark Iv , 1974 .

[18]  R. Segal,et al.  Prescribers' beliefs and values as predictors of drug choices. , 1982, American journal of hospital pharmacy.

[19]  Natasa Christodoulidou,et al.  Determining Customer Expectations and Attributes of a Restaurant's Lounge Through Utilizing Multidimensional Scaling , 2007 .

[20]  Juyoung Kim,et al.  A Gravity‐Based Multidimensional Scaling Model for Deriving Spatial Structures Underlying Consumer Preference/Choice Judgments , 2002 .

[21]  R. Cattell.  The Scree Test For The Number Of Factors. , 1966, Multivariate behavioral research.

[22]  K. Y. Lam,et al.  Visualizing Attitudes Towards Service Levels , 2011 .

[23]  Daniel W. Jones,et al.  The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. , 2003, Journal of the American Medical Association (JAMA).

[24]  O. Ferrell,et al.  Marketing Concepts and Strategies , 1989 .

[25]  J. Kruskal.  Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis , 1964 .

[26]  Paul E. Green,et al.  Multidimensional Scaling: Concepts and Applications , 1989 .

[27]  D. Francke.  American Journal of Hospital Pharmacy , 1958 .

[28]  John R. Hauser,et al.  Design and marketing of new products , 1980 .

[29]  A. Paivio,et al.  Why are pictures easier to recall than words? , 1968 .

[30]  S. Kim,et al.  Preference and Positioning Analyses of Overseas Destinations by Mainland Chinese Outbound Pleasure Tourists , 2005 .

[31]  Woo Gon Kim,et al.  A perceptual mapping of online travel agencies and preference attributes , 2007 .

[32]  Gary L. Lilien,et al.  Marketing Engineering: Computer-Assisted Marketing Analysis and Planning , 1998 .

[33]  G. Hooley,et al.  Marketing Strategy and Competitive Positioning , 1993 .

[34]  Serpil Canbas,et al.  Prediction of commercial bank failure via multivariate statistical analysis of financial structures: The Turkish case , 2005, Eur. J. Oper. Res..

[35]  Tena I. Katsaounis,et al.  Analyzing Multivariate Data , 2004, Technometrics.

[36]  R. Segal,et al.  Drug Choice as a Problem-solving Process , 1985, Medical care.

[37]  F. Haaijer-Ruskamp,et al.  Drug expectations and drug choices of hospital physicians , 1993, Journal of internal medicine.

[38]  Wayne S. DeSarbo,et al.  Restricted Principal Components Analysis for Marketing Research , 2007 .

[39]  B. Tabachnick,et al.  Using Multivariate Statistics , 1983 .

[40]  T. A. Festervand.  Industrial recruitment and economic development: a comparative analysis of competing south‐eastern cities using perceptual mapping , 2004 .

[41]  Angappa Gunasekaran,et al.  Agile supply chain capabilities: Determinants of competitive objectives , 2004, Eur. J. Oper. Res..

[42]  Michael K. Rich.  Marketing Engineering: : Computer‐Assisted Marketing Analysis and Planning , 1998 .

[43]  Product Mapping with Perceptions and Preferences , 2001 .

[44]  Paul E. Green,et al.  The Journal of Marketing Research: Its Initiation, Growth, and Knowledge Dissemination , 2003 .

[45]  G. J. Hooley.  Modelling product positions through the use of multidimensional scaling techniques: An empirical investigation , 1984 .

[46]  J. Read,et al.  Physician beliefs, attitudes, and prescribing behavior for anti-inflammatory drugs. , 1984, The American journal of medicine.

[47]  John R. Hauser,et al.  Alternative Perceptual Mapping Techniques: Relative Accuracy and Usefulness , 1979 .

[48]  A Profile of the Chinese Casino Vacationer to South Korea , 2004 .

[49]  João Oliveira Soares,et al.  A multivariate methodology to uncover regional disparities: A contribution to improve European Union and governmental decisions , 2003, Eur. J. Oper. Res..

[50]  Paul R. Kinnear,et al.  SPSS For Windows Made Simple , 1994 .

[51]  Tammo H. A. Bijmolt,et al.  Assessing brand image through communalities and asymmetries in brand-to-attribute and attribute-to-brand associations , 2009, Eur. J. Oper. Res..

[52]  Graham K. Rand,et al.  Quantitative Applications in the Social Sciences , 1983 .

[53]  Girish N. Punj,et al.  Cluster Analysis in Marketing Research: Review and Suggestions for Application , 1983 .

[54]  Andrew D Oxman,et al.  International variation in prescribing antihypertensive drugs: Its extent and possible explanations , 2005, BMC health services research.

[55]  M. Kozak,et al.  Cross-cultural behavior research in tourism: a case study on destination image. , 2003 .

[56]  M. Bartlett.  TESTS OF SIGNIFICANCE IN FACTOR ANALYSIS , 1950 .

[57]  Gordon C. Bruner.  Marketing scales handbook. , 2009 .

[58]  P. Green,et al.  Analyzing multivariate data , 1978 .

[59]  João Oliveira Soares,et al.  The European regional policy and the socio-economic diversity of European regions: A multivariate analysis , 2008, Eur. J. Oper. Res..

[60]  Lester A. Neidell.  The Use of Nonmetric Multidimensional Scaling in Marketing Analysis , 1969 .

[61]  J. Lilja.  How physicians choose their drugs. , 1976, Social science & medicine.

[62]  Gilbert D. Harrell,et al.  An Evaluation of the Expectancy Value Model of Attitude Measurement for Physician Prescribing Behavior , 1974 .

[63]  M. Sturkenboom,et al.  Determinants for the adoption of angiotensin II receptor blockers by general practitioners. , 2006, Social science & medicine.

[64]  D. Littler.  Design and Marketing of New Products , 1981 .

[65]  Ilkka Salo,et al.  Mental representations of important real-life decisions , 2007, Eur. J. Oper. Res..

[66]  Thomas Lumley,et al.  Health outcomes associated with various antihypertensive therapies used as first-line agents: a network meta-analysis. , 2003, JAMA.

[67]  R. Darlington,et al.  Factor Analysis , 2008 .

[68]  W. Mcghan,et al.  Prescribing intention and the relative importance of drug attributes: a comparative study of HMO and fee-for-service physicians. , 2011, Journal of pharmaceutical marketing & management.

[69]  W. Kamakura,et al.  Accounting for Voter Heterogeneity within and across Districts with a Factor-Analytic Voter-Choice Model , 2007, Political Analysis.

[70]  Damien Brémaud,et al.  An alternative to external preference mapping based on consumer perceptive mapping , 2006 .