Register      Login
Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE

Segmenting a general practitioner market to improve recruitment outcomes

Elizabeth Hemphill A C and Carol T. Kulik B
+ Author Affiliations
- Author Affiliations

A Ehrenberg-Bass Institute for Marketing Science, School of Marketing, University of South Australia, GPO Box 2471, Adelaide, SA 5001, Australia.

B Centre for Human Resource Management, School of Management, University of South Australia, GPO Box 2471, Adelaide, SA 5001, Australia.

C Corresponding author. Email: elizabeth.hemphill@unisa.edu.au

Australian Health Review 35(2) 117-123 https://doi.org/10.1071/AH09802
Submitted: 1 July 2009  Accepted: 6 September 2010   Published: 25 May 2011

Abstract

Recruitment is an ongoing challenge in the health industry with general practitioner (GP) shortages in many areas beyond rural and Indigenous communities. This paper suggests a marketing solution that identifies different segments of the GP market for recruitment strategy development. In February 2008, 96 GPs in Australia responded to a mail questionnaire (of which 85 questionnaires were useable). A total of 350 GPs were sent the questionnaire. Respondents considered small sets of attributes in the decision to accept a new job at a general practice and selected the most and least important attribute from each set. We identified latent class clusters (cohorts) of GPs from the most–least important data. Three cohorts were found in the GP market, distinguishing practitioners who emphasised job, family or practice attributes in their decision to join a practice. Few significant demographic differences exist between the cohorts. A segmented GP market suggests two alternative recruitment strategies. One option is for general practices to target members of a single cohort (family-, job-, or practice-focussed GPs). The other option is for general practices to diversify their recruitment strategies to target all three cohorts (family-, job- and practice-focussed GPs). A single brand (practice) can have multiple advertising strategies with each strategy involving advertising activities targeting a particular consumer segment.

What is known about the topic? Recruitment is an ongoing challenge in the health industry. A wide range of government strategies and incentives have sought to increase GP numbers in areas of need, especially rural and Indigenous communities. However, declining GP to patient ratios in such sectors suggest new recruitment strategies are needed. To know how effective new strategies might be, it would also be useful to know whether practices have already adopted such strategies in their recruitment advertising.

What does this paper add? This paper reports results from an empirical study showing that the overall GP market can be segmented into cohorts of GPs who similarly value attributes of a GP position. The research finds three discrete cohorts in the GP market: practitioners who have job, family or practice dominant preferences. This finding can be used to improve GP recruitment by designing recruitment strategies targeting the cohorts. The study also demonstrates that rural (and urban) practices have, either intentionally or unintentionally, been attracting only one of the three GP cohorts.

What are the implications for practitioners? A segmented GP market suggests two alternative strategies. One option is for general practices to design recruiting strategies that target members of a single cohort (family-, job-, or practice-focussed GPs). The other option suggested by our research is for general practices to diversify their recruitment strategies to target all three cohorts (family-, job- and practice-focussed GPs).

Additional keywords: branded recruitment strategies, market segmentation, marketing, recruitment.


References

[1]  Smith SD. The global workforce shortages and the migration of medical professions: the Australian policy response. Aust New Zealand Health Policy 2008; 5(7). Available at http://www.anzhealthpolicy.com/content/5/1/7 [verified 5 August 2008].

[2]  Gilles MT, Wakerman J, Durey A. If it wasn’t for OTDs, there would be no AMS: overseas-trained doctors working in rural and remote Aboriginal health settings. Aust Health Rev 2008; 32 655–63.
If it wasn’t for OTDs, there would be no AMS: overseas-trained doctors working in rural and remote Aboriginal health settings.Crossref | GoogleScholarGoogle Scholar | 18980561PubMed |

[3]  Humphreys J, Jones J, Jones M, Hugo G, Bamford E, Taylor D. A critical review of rural medical workforce retention in Australia. Aust Health Rev 2001; 24 91–102.
A critical review of rural medical workforce retention in Australia.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD387htFWjtg%3D%3D&md5=ec3126ef68b2657edd586366d0c127a6CAS | 11842721PubMed |

[4]  Freeman RA, Carpenter R. RN recruitment advertisements: an experimental study of nurses’ response to ad content. J Health Care Mark 1983; 3 7–12.
| 1:STN:280:DyaL3s7mt1Wkuw%3D%3D&md5=396ab19234bf797071e3182dd3fe8300CAS | 10259131PubMed |

[5]  Pathman DE, Konrad TR, Dann R, Koch G. Retention of primary care physicians in rural health professional shortage areas. Am J Public Health 2004; 94 1723–9.
Retention of primary care physicians in rural health professional shortage areas.Crossref | GoogleScholarGoogle Scholar | 15451741PubMed |

[6]  Connerley ML, Carlson KD, Ross I, Mecham L. Evidence of differences in applicant pool quality. Person Rev 2003; 32 22–39.
Evidence of differences in applicant pool quality.Crossref | GoogleScholarGoogle Scholar |

[7]  Hemphill E, Dunn S, Barich H, Infante R. Recruitment and retention of rural GPs: a marketing approach reveals new possibilities. Aust J Rural Health 2007; 15 360–7.
Recruitment and retention of rural GPs: a marketing approach reveals new possibilities.Crossref | GoogleScholarGoogle Scholar | 17970898PubMed |

[8]  Kohli AK, Jaworski BJ. Market orientation: the construct, research propositions and managerial implications. J Mark 1990; 54 1–18.
Market orientation: the construct, research propositions and managerial implications.Crossref | GoogleScholarGoogle Scholar |

[9]  Rotem A, Dewdney JC, Mallock NA, Jochelson TR. Public health job vacancies – who wants what, where? Aust Health Rev 2005; 29 226–34.
Public health job vacancies – who wants what, where?Crossref | GoogleScholarGoogle Scholar | 15865574PubMed |

[10]  Grover R, Srinivasan V. A simultaneous approach to market segmentation and market structuring. J Mark Res 1987; 24 139–53.
A simultaneous approach to market segmentation and market structuring.Crossref | GoogleScholarGoogle Scholar |

[11]  Spence M. Competition in salaries, credentials, and signaling prerequisites for jobs. Q J Econ 1976; 90 51–74.
Competition in salaries, credentials, and signaling prerequisites for jobs.Crossref | GoogleScholarGoogle Scholar |

[12]  Matzler K, Renzl G. Patterns in management research: an analysis of US American, European and German approaches. Problems and Perspectives in Management 2005; 1 118–27.

[13]  Konrad AM, Ritchie JJE, Lieb P, Corrigall E. Sex differences and similarities in job attribute preferences: a meta-analysis. Psychol Bull 2000; 126 593–641.
Sex differences and similarities in job attribute preferences: a meta-analysis.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DC%2BD3czovFegsw%3D%3D&md5=d50f7a44b69065725cae4024d371f04bCAS | 10900998PubMed |

[14]  Webster C. Can consumers be segmented on the basis of their service quality expectations? J Serv Mark 1989; 3 35–53.
Can consumers be segmented on the basis of their service quality expectations?Crossref | GoogleScholarGoogle Scholar |

[15]  Benzie D. Invited Comment: New South Wales rural general practice from a Yank’s perspective. Aust J Rural Health 2003; 11 44–6.
Invited Comment: New South Wales rural general practice from a Yank’s perspective.Crossref | GoogleScholarGoogle Scholar | 12603446PubMed |

[16]  Wainer J. Work of female rural doctors. Aust J Rural Health 2004; 12 49–53.
Work of female rural doctors.Crossref | GoogleScholarGoogle Scholar | 15023221PubMed |

[17]  Kohl JP, Stephens DB, Chang J-C. Illegal recruitment advertising: a ten-year retrospect. Employee Responsib Rights J 1997; 10 213–24.
Illegal recruitment advertising: a ten-year retrospect.Crossref | GoogleScholarGoogle Scholar |

[18]  Rafaeli A. Sense-making of employment: on whether and why people read employment advertising. J Organ Behav 2006; 27 747–70.
Sense-making of employment: on whether and why people read employment advertising.Crossref | GoogleScholarGoogle Scholar |

[19]  Collins CJ, Stevens CK. The relationship between early recruitment-related activities and the application decisions of new labor-market entrants: a brand equity approach to recruitment. J Appl Psychol 2002; 87 1121–33.
The relationship between early recruitment-related activities and the application decisions of new labor-market entrants: a brand equity approach to recruitment.Crossref | GoogleScholarGoogle Scholar | 12558218PubMed |

[20]  Martin G, Beaumont P, Doig R, Pate J. Branding: a new performance discourse for HR. Eur Manage J 2005; 23 76–88.
Branding: a new performance discourse for HR.Crossref | GoogleScholarGoogle Scholar |

[21]  Rynes SL, Barber AE. Applicant attraction strategies: an organizational perspective. Acad Manage Rev 1990; 15 286–310.
Applicant attraction strategies: an organizational perspective.Crossref | GoogleScholarGoogle Scholar |

[22]  Page S, Willey K. Workforce development: planning what you need starts with knowing what you have. Aust Health Rev 2007; 31 98–105.
Workforce development: planning what you need starts with knowing what you have.Crossref | GoogleScholarGoogle Scholar | 17266493PubMed |

[23]  Breaugh JA. Employee recruitment: current knowledge and important areas for future research. Human Management Review 2008; 18 103–18.
Employee recruitment: current knowledge and important areas for future research.Crossref | GoogleScholarGoogle Scholar |

[24]  Boswell WR, Roehling MV, LePine MA, Moynihan LM. Individual job-choice decisions and the impact of job attributes and recruitment practices: a longitudinal field study. Hum Resour Manage 2003; 42 23–37.
Individual job-choice decisions and the impact of job attributes and recruitment practices: a longitudinal field study.Crossref | GoogleScholarGoogle Scholar |

[25]  Duplantie J, Giagnon MP, Fortin JP, Landry R. Telehealth and the recruitment and retention of physicians in rural and remote regions: a Delphi study. Can J Rural Med 2007; 12 30–6.
| 17229362PubMed |

[26]  Hemphill E, Kulik CT. Defining a process for segmenting the general practitioner market for rural practice recruitment. Soc Mar Q 2009; 15 74–91.
Defining a process for segmenting the general practitioner market for rural practice recruitment.Crossref | GoogleScholarGoogle Scholar |

[27]  Flynn TN, Louviere J, Peters TJ, Coast J. Best–worst scaling: what it can do for health care research and how to do it. J Health Econ 2007; 26 171–89.
Best–worst scaling: what it can do for health care research and how to do it.Crossref | GoogleScholarGoogle Scholar | 16707175PubMed |

[28]  Slaughter JE, Richard EM, Martin JH. Comparing the efficacy of policy-capturing weights and direct estimates for predicting job choice. Organ Res Methods 2006; 9 285–314.
Comparing the efficacy of policy-capturing weights and direct estimates for predicting job choice.Crossref | GoogleScholarGoogle Scholar |

[29]  Barter B. Rural education: learning to be rural teachers. J Workplace Learn 2008; 20 468–79.
Rural education: learning to be rural teachers.Crossref | GoogleScholarGoogle Scholar |

[30]  Mueller S, Rungie C. Is there more information in best–worst choice data? Using the attitude heterogeneity structure to identify consumer segments. International Journal of Wine Business Research 2009; 21 24–40.
Is there more information in best–worst choice data? Using the attitude heterogeneity structure to identify consumer segments.Crossref | GoogleScholarGoogle Scholar |

[31]  Nylund KL, Asparouhov T, Muthen BO. Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study. Struct Equ Modeling 2007; 14 535–69.

[32]  Neuman WL. Social Research Methods: Qualitative and Quantitative Approaches. Boston: Allen & Bacon; 2003.

[33]  Kroth PJ, McPherson L, Leverence R, Pace W, Daniels E, Rhyne RL, et al Combining web-based and mail surveys improves response rates: a PBRN study from PRIME Net. Ann Fam Med 2009; 7 245–8.
Combining web-based and mail surveys improves response rates: a PBRN study from PRIME Net.Crossref | GoogleScholarGoogle Scholar | 19433842PubMed |

[34]  Asch DA, Jedrziewski MK, Christakis NA. Response rates to mail surveys published in medical journals. J Clin Epidemiol 1997; 50 1129–36.
Response rates to mail surveys published in medical journals.Crossref | GoogleScholarGoogle Scholar | 1:STN:280:DyaK1c%2FjsVyqtA%3D%3D&md5=cb2f234448ee60ab8b4cfe95a77925deCAS | 9368521PubMed |

[35]  Cull WL, O’Connor KG, Sharp S, Tang SS. Response rates and response bias for 50 surveys of pediatricians. Health Serv Res 2005; 40 213–26.
Response rates and response bias for 50 surveys of pediatricians.Crossref | GoogleScholarGoogle Scholar | 15663710PubMed |

[36]  VanGeest JB, Johnson TP, Welch VL. Methodologies for improving response rates in surveys of physicians. Eval Health Prof 2007; 30 303–21.
Methodologies for improving response rates in surveys of physicians.Crossref | GoogleScholarGoogle Scholar | 17986667PubMed |

[37]  Sauerland S, Neugebauer EAM. An experiment of mailing physician surveys on two different issues in joint or separate mail. J Clin Epidemiol 2002; 55 1046–8.
An experiment of mailing physician surveys on two different issues in joint or separate mail.Crossref | GoogleScholarGoogle Scholar | 12464382PubMed |

[38]  McFarlane E, Olmsted MG, Murphy J, Hill CA. Nonresponse bias in a mail survey of physicians. Eval Health Prof 2007; 30 170–85.
Nonresponse bias in a mail survey of physicians.Crossref | GoogleScholarGoogle Scholar | 17476029PubMed |

[39]  Sharma MK. Application of PBIB designs in CDC method IV. J Appl Stat 2000; 27 1013–9.
Application of PBIB designs in CDC method IV.Crossref | GoogleScholarGoogle Scholar |

[40]  Private Medical Practitioners. Canberra: Australian Bureau of Statistics; 2002. Catalog No. 8689.0. Available at http://www.abs.gov.au/ [verified 5 August 2008].

[41]  Hordacre AL, Howard S, Moretti C, Kalucy E. Moving ahead. Report of the 2006–2007 Annual Survey of Divisions of General Practice. Adelaide: Primary Health Care Research & Information Service, Department of General Practice, Flinders University, and Australian Government Department of Health and Ageing; 2008. Available at http://www.phcris.org.au/products/asd/results/06_07.php [verified 30 August 2010].

[42]  Muthén B, Muthén L. Integrating person-centered and variable-centered analyses: Growth mixture modeling with latent trajectory classes. Alcohol Clin Exp Res 2000; 24 882–91.
Integrating person-centered and variable-centered analyses: Growth mixture modeling with latent trajectory classes.Crossref | GoogleScholarGoogle Scholar | 10888079PubMed |

[43]  Yankelovich D, Meer D. Rediscovering market segmentation. Harv Bus Rev 2006; 84 122–31.
| 16485810PubMed |

[44]  Daniels ZM, VanLeit BJ, Skipper BJ, Sanders ML, Rhyne RL. Factors in recruiting and retaining professionals of rural practice. J Rural Health 2007; 23 62–71.
Factors in recruiting and retaining professionals of rural practice.Crossref | GoogleScholarGoogle Scholar | 17300480PubMed |

[45]  Buda R, Charnov BH. Message processing in realistic recruitment practices. J Manag Issue 2003; 15 302–16.